--0-1000784118-1121152014=:21164--
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Date: Tue, 12 Jul 2005 10:19:35 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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From: Margaret MacDougall <[log in to unmask]>
Subject: Purpose of Cox regression
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Dear all
I would be most grateful to receive views on the usage of Cox regression in a piece of work I read recently. The research involved comparing different staging systems for cancer with respect to their capacity to stratify patients according to the risk of mortality. Part of this work involved constructing a multiple covariate model in which the different staging systems were factors and the stages were the levels of these factors. The authors uses Wald's test and the extent to which the -Log-likelihood statistic was changed on removing any one factor from this model to compare the systems. No mention is made of the fact that Cox regression adjusts for confounding. However, I am aware from my own work that, due to confounding, the best system for stratification obtained from individual log-rank tests (in which stages are compared for any given system within the context of a Kaplan-Meier analysis) need not be the same as the system which makes the highest independent cont!
ribution
to a proportional hazards model.
The only thing I can see that the authors could have gained from the multiple covariate Cox regression approach is the ability to build a model which combines different staging systems, so as to obtain a hybrid but more successful staging system. However, they do not do this. They simply state the results of the Cox regression analysis. What troubles me about this is that if the purpose of the exercise is simply to compare the staging systems as stand alone systems, why should they taking confounding into consideration? What does this tell the reader when deciding which is the best system to adopt when predicting a patient's chance of survival? Why would they wish to know the INDEPENDENT stratification value of each system?
Perhaps I am missing something. I would therefore very much value some feedback, as it would appear that the associated paper was not written by statisticians.
Thank you very much
Regards
Margaret
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Date: Tue, 12 Jul 2005 13:36:25 +0100
Reply-To: Peter M Lee <[log in to unmask]>
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From: Peter M Lee <[log in to unmask]>
Subject: Univ of York - Lectureship in Statistics - Department of
Mathematics
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Vacancy reference: AA05281
We are seeking to appoint a statistician to enhance our teaching and
research profile. Applications are invited from candidates with strong
research and teaching interests in statistics and/or its applications. Th=
e
successful candidate will be expected to take a leading role in the
teaching of statistics and probability at undergraduate level, to
collaborate in the teaching of masters students, and to supervise
MPhil/PhD students. They will be active and productive in research, fully
involved in the Research School and will contribute to relevant
administration. Details of the statistics group at York may be found on
our webpages at: http://www.york.ac.uk/depts/maths/research/stats.htm
Informal enquiries to Professor Maurice Dodson (+44 (0) 1904 433098,
[log in to unmask]), Professor Karim Abadir (+44 (0)1904 433758,
[log in to unmask]), Dr Liudas Giraitis (44(0)1904 434598, [log in to unmask]) o=
r
Dr. Peter Lee (+44 (0)1904 433014, [log in to unmask]
Salary will be in the range =A327,989 - =A335,883 p.a. The post is availa=
ble
from January 2006.
Closing Date: 02 August 2005
Further particulars in pdf format at
http://www.york.ac.uk/admin/persnl/jobs/aa05281.pdf
Application pack in pdf format
http://www.york.ac.uk//admin/persnl/jobs/pack/acad.pdf
If you are having problems viewing the application pack, please click her=
e
to request a pack by post.
http://www.york.ac.uk/univ/mis/cfm/vacancies/vac_requestpack.cfm?vacno=3D=
AA05281
Please note we do not currently accept application forms or CV's by email.
--=20
00 O O o o...
0 ____ _________________ ______________________ _______________=
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][_n_i_|( |_ | | | Wentworth College | | pml1 =
|
( _ | ||| | Peter M Lee | | University of York | | @york.ac.uk=
|
_||_|___|_|||_|_______________|_|___York__YO10_5DD___|_|_+44_1904_4330=
14_|
o 0--0 o o o o-o o-o o o o
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Date: Tue, 12 Jul 2005 17:10:23 +0100
Reply-To: Alan Brophy <[log in to unmask]>
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From: Alan Brophy <[log in to unmask]>
Subject: JOB: CONTRACT - Project Statistician - Clinical Pharmacology
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Dear Allstaters,
=20
CONTRACT - Project Statistician - Clinical Pharmacology
=20
SEC is recruiting an experienced Statistician to join a major =
pharmaceutical
organisation on an initial 6-12 month contract. Full details of the =
client
and location will be provided on application. Start date is ASAP.=20
=20
Working within a busy, dynamic environment you will be contributing to =
every
aspect of the design, analysis and reporting of studies investigating
pharmacological compounds in phase I of their clinical development. =
There
will also be the opportunity to contribute to methodology and research =
into
the use of novel biomarkers and endpoints.
=20
Essential for this assignment is 4+ years experience as a Statistician
within CRO or Pharma and a minimum MSc in Medical Statistics or a =
related
subject. Experience working on phase I projects/ clinical pharmacology =
is
advantageous, but not essential.
=20
On offer are highly competitive daily rates (up to =A345/hour - DOE) =
and the
opportunity to work at the forefront of clinical pharmacology =
statistics
within this leading pharmaceutical organisation.
=20
If you meet the above requirements please forward your CV with a short =
note
detailing your availability and rate expectation ASAP to ensure you are
considered for this position. Alternatively, call Alan on 0207 258 8400 =
for
an informal discussion on this and other opportunities within =
Statistics and
SAS Statistical Programming.
=20
Kind regards,
=20
Alan Brophy
Senior Consultant
SEC Recruitment, London
Tel: 0207 258 8400
=20
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Date: Tue, 12 Jul 2005 17:37:01 +0100
Reply-To: Alan Brophy <[log in to unmask]>
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From: Alan Brophy <[log in to unmask]>
Subject: JOB: Biostatistician / Senior Biostatistician - Belgium
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Dear Allstat,
Biostatistician / Senior Biostatistician - Belgium
SEC is recruiting a Biostatistician with 2+ years work experience to join a
leading global pharmaceutical company and be based at their well appointed
Belgium office. Full details of the client and location will be provided on
application.
Working within busy and dynamic interdisciplinary teams you will be
responsible for providing statistical expertise in the design, planning,
conduct, analysis and reporting of major clinical studies and global
development programs. You will work across major therapeutic areas but
retain a focus within oncology. Additionally you will help register drugs at
the FDA, EMEA and other regulatory agencies worldwide and developing
statistical programs as necessary to perform analyses, prepare data
displays, verify data accuracy and validity.
This position is open to both senior and junior professionals alike and the
level of the position will be shaped around the experience level of the
successful candidate. To be successful in securing this position you will
require 2+ years experience as a Biostatistician and a minimum MSc in
Medical Statistics, Statistics or a related discipline. SAS programming
skills are important, strong team working and communication skills are, of
course, essential. French language skills are an advantage.
In return for your services you will receive a highly competitive salary and
benefits package, excellent training and a commitment to your continuous
career development.
If you meet the above criteria and are interested to learn more about this
appointment forward a detailed CV with a short cover note detailing your
experience and salary expectations. Alternatively call Alan on 00 44 (0)207
258 8400 for further information on this and other opportunities within
Statistics and SAS Statistical Programming.
Kind regards,
Alan Brophy
Senior Consultant
SEC Recruitment, London
Tel: 00 44 (0)207 258 8400
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Date: Tue, 12 Jul 2005 17:39:05 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: Contract SAS Programmer
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Contract SAS Programmer
=20
Salary: GBP circa 50ph, DOE=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
Your responsibility is to run programs and output for data management
and biostatistics for validation of data, for statistical contributions
of integrated study reports and for other programming requests. The
contract will start ASAP for an initial period of 6 months, based within
an easy commute from Amsterdam and requires a candidate with 18 months+
experience of Programming in SAS within the clinical arena. There is a
strong possibility of contract renewal with this organisation.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3523'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
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=20
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Date: Tue, 12 Jul 2005 13:33:14 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
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From: "Peter C. Bruce" <[log in to unmask]>
Subject: Introduction to R - online course
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Online course: Introduction to R
Dr. Phillip Good will offer his =93Introduction to R=94 course July 22 =96=
August=20
12 online at statistics.com.
R, the open source cousin of the powerful S-PLUS statistics package and=20
earlier S language, is growing rapidly in popularity. R is freely=20
available at no charge.
Dr. Good=92s course will cover downloading and installing R, data handling,=
=20
drawing samples, the bootstrap, looping, downloading and using R libraries=
=20
from other sources, building your own functions, more. Participants will=20
interact with the instructor via a private discussion board; there are no=20
specific times when you have to be online. Dr. Good, is the author of=20
=93Introduction to Statistics via Resampling Methods and R,=94 (Wiley 2005),=
=20
and numerous other statistics texts.
Registration and details:
http://www.statistics.com/content/courses/R/index.html
Peter Bruce
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Date: Wed, 13 Jul 2005 17:01:31 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
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From: Patrick Kelly <[log in to unmask]>
Subject: COURSE: Dose-escalation Procedures in Phase I Clinical Trials
Comments: To: "Anzstat (E-mail)" <[log in to unmask]>
Comments: cc: Anne Whitehead <[log in to unmask]>,
Barbara Anne Dodds <[log in to unmask]>
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Dose-escalation Procedures in Phase I Clinical Trials
@ The University of Reading, UK
24-25 October 2005
Presenters:=20
Professor John Whitehead and Dr Yinghui Zhou
Audience: =20
This course is intended for statisticians and clinical pharmacologists =
working in early phase drug development in pharmaceutical companies and =
public sector medical research institutes.
Description:
Phase I clinical trials conducted to find appropriate doses for use in =
later phase studies employ pre-specified guidelines. These determine =
what dose to administer to the next subject or group of subjects. =
Recent research by statisticians has led to the development of new =
dose-escalation schemes with the potential for increasing efficiency and =
safety. So far these schemes have been implemented to a limited extent =
in trials of cancer drugs, and hardly at all in other therapeutic areas.
The objectives of this course are to introduce the new procedures and =
their underlying principles, to demonstrate software for their =
implementation and to show how these and older procedures can be =
evaluated using simulation. Applications to oncology trials and to =
studies in other therapeutic areas are discussed, and designs for =
healthy volunteer studies with pharmacokinetic endpoints are presented. =
The intention is to stimulate discussion about whether and in what form =
the new procedures are of practical utility. In addition to lectures, =
there will be practical sessions and group discussions.
Programme:
* Conventional dose-escalation procedures
* The Continual Reassessment Method
* Bayesian dose-escalation procedures
* Healthy volunteer studies
* Simultaneous monitoring of benefit and toxicity
* Software for dose-escalation
Course fees:
For 6 or more weeks prior to commencement of the course:
Students =A3360
Sponsors/Public =A3450
sector/Academic
Other =A3510
Less than 6 weeks prior to course: =A3600
The course fee includes all supporting documentation, refreshments and =
lunches. For a course running more than one day, dinner is included on =
the first evening.
Cancellation:
Registrations are transferable to another course or individual at any =
time, otherwise cancelled course registration will incur the following =
charges:
11 - 20 days before the start of the course 50%
1 - 10 days before the start of the course 90%
course start date or later 100%.
We reserve the right to cancel any course without liability other than a =
refund of the course fee. =20
Booking form:
http://www.rdg.ac.uk/mps/mps_home/courses/scheduled_c.htm
For further information please contact:
Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240, Earley Gate
Reading, RG6 6FN
Tel: 0118 378 6662
e-mail: [log in to unmask]
=========================================================================
Date: Wed, 13 Jul 2005 17:02:20 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
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From: Patrick Kelly <[log in to unmask]>
Subject: COURSE: Analysis of Multiple Failure Time Data Arising from
Clinical Trials
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Comments: cc: Anne Whitehead <[log in to unmask]>,
Barbara Anne Dodds <[log in to unmask]>
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Analysis of Multiple Failure Time Data Arising from Clinical Trials
@ The University of Reading, UK
26-27 October 2005
Presenters:
Dr Patrick Kelly and Professor Anne Whitehead=20
Description:
Statistical methods have recently been developed for the analysis of =
multiple failure time data. Such data can arise in a variety of ways. =
Sometimes analyses based on two endpoints, such as time to disease =
progression and time to death, are to be combined. Recurrent event data =
are observations of times at which patients suffer repeated events such =
as epileptic seizures, asthma attacks or coronary events. Competing =
risks data arise when considering various potential causes of death or =
forms of incapacity that can follow from a certain condition. Clustered =
survival data, which arise, for example, from multicentre trials, can =
also be considered as a form of multiple failure time data.
Examples of such data will be examined, and the objectives of their =
analysis discussed. Methods, such as frailty models, and the robust =
approach due to Wei, Lin and Weissfeld will be introduced and =
illustrated. The software available for implementing these methods will =
be described and participants will take part in hands-on computer =
practicals.
Although the course will begin with a brief review, it will be assumed =
that participants are familiar with simple univariate survival =
techniques.
Programme:
* Examples of multiple failure time problems
* Review of survival methods
* Combining survival endpoints
* Frailty models for correlated survival data
* Models for recurrent event data
* Competing risks models
Course fees:
For 6 or more weeks prior to commencement of the course:
Students =A3360
Sponsors/Public =A3450
sector/Academic
Other =A3510
Less than 6 weeks prior to course: =A3600
The course fee includes all supporting documentation, refreshments and =
lunches. For a course running more than one day, dinner is included on =
the first evening.
Cancellation:
Registrations are transferable to another course or individual at any =
time, otherwise cancelled course registration will incur the following =
charges:
11 - 20 days before the start of the course 50%
1 - 10 days before the start of the course 90%
course start date or later 100%.
We reserve the right to cancel any course without liability other than a =
refund of the course fee. =20
Booking form:
http://www.rdg.ac.uk/mps/mps_home/courses/scheduled_c.htm
For further information please contact:
Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240, Earley Gate
Reading, RG6 6FN
Tel: 0118 378 6662
e-mail: [log in to unmask]
=========================================================================
Date: Wed, 13 Jul 2005 17:03:00 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
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From: Patrick Kelly <[log in to unmask]>
Subject: COURSE: Data and Safety Monitoring Board Workshop
Comments: To: "Anzstat (E-mail)" <[log in to unmask]>
Comments: cc: Anne Whitehead <[log in to unmask]>,
Barbara Anne Dodds <[log in to unmask]>
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Data and Safety Monitoring Board Workshop
@ The University of Reading, UK=20
28 October 2005 =20
Presenter:=20
Dr Sue Todd
Guest Presenter:
Dr Julian Bion
Reader in Intensive Care Medicine
Queen Elizabeth Hospital, Birmingham
Audience:
This Workshop is designed for people who serve on Data and Safety =
Monitoring Boards, people who organise them, and people involved in =
preparing adverse event and statistical reports for them.
Description:
Data and Safety Monitoring Boards (DSMBs) are a common feature of =
long-term clinical studies in life-threatening conditions. This =
Workshop describes the remit and composition of DSMBs, and how their =
work relates to other parties involved in the study, such as the =
sponsor, the study project team, the investigators, the Steering =
Committee and the data management centre. The importance of pre-trial =
preparation by the DSMB is stressed. Consideration is given to the =
nature and purpose of safety and efficacy data reports presented to the =
DSMB, and the balance between the timeliness and the accuracy of the =
data available is discussed. Statistical problems inherent in =
repeatedly making multiple treatment comparisons are highlighted, and =
formal stopping guidelines based on repeated safety analyses are =
presented. The role of the DSMB in trials with pre-specified interim =
efficacy analyses will be discussed.
The Workshop is structured around group discussions of realistic =
scenarios of the type faced by DSMBs.
Programme:
* Role and composition of a DSMB
* Confidentiality and blindness
* Presentation of safety reports
* Formal stopping rules for safety
* Interim efficacy analyses and sequential designs
Course fees:=20
For 6 or more weeks prior to commencement of the course:
Students =A3180
Sponsors/Public =A3225
sector/Academic
Other =A3255
Less than 6 weeks prior to course: =A3300
The course fee includes all supporting documentation, refreshments and =
lunches. For a course running more than one day, dinner is included on =
the first evening.
Cancellation:
Registrations are transferable to another course or individual at any =
time, otherwise cancelled course registration will incur the following =
charges:
11 - 20 days before the start of the course 50%
1 - 10 days before the start of the course 90%
course start date or later 100%.
We reserve the right to cancel any course without liability other than a =
refund of the course fee. =20
Booking form:
http://www.rdg.ac.uk/mps/mps_home/courses/scheduled_c.htm
For further information please contact:
Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240, Earley Gate
Reading, RG6 6FN
Tel: 0118 378 6662
e-mail: [log in to unmask]
=========================================================================
Date: Wed, 13 Jul 2005 18:39:41 +0200
Reply-To: Ghazi Shukur <[log in to unmask]>
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From: Ghazi Shukur <[log in to unmask]>
Subject: Media regression program using Gauss !
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Hi all!
I would like to run a median (Robust) regression usin the Gauss program =
pakage. I wonder if there is any body that done this part or have acess to =
the code.=20
Best regards=20
Ghazi Shukur
Please answer me on this mail:
[log in to unmask]
=========================================================================
Date: Thu, 14 Jul 2005 10:02:03 +0100
Reply-To: Chris Angus <[log in to unmask]>
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From: Chris Angus <[log in to unmask]>
Subject: COURSE: Six Sigma Black Belt Techniques
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We have a limited number of places remaining on our Six Sigma Black Belt =
Open Day course. The course is open to those with a suitable industrial =
background and experience. Course delegates are mainly from industry.=20
Topic: Six Sigma Black Belt Techniques
Location: ISRU, University of Newcastle upon Tyne
Dates: 25th - 29th July, 15th -19th August, 5th - 9th September 2005
Duration: 15 days=20
Costs: =A33750 (or =A3250 per day)
Content: Please visit =
http://www.isru.ncl.ac.uk/C13/Dates%20and%20Course%20Content/default.aspx=
For further details contact us on 0191 222 5500 or e-mail =
[log in to unmask]
______________________________________
Chris Angus
General Manager
Industrial Statistics Research Unit
Stephenson Building
University of Newcastle upon Tyne
NE1 7RU
Tel: 0191 222 5500
Fax: 0191 222 7365
Visit our website at http://www.isru.ncl.ac.uk/
______________________________________
=========================================================================
Date: Thu, 14 Jul 2005 10:12:57 +0100
Reply-To: Chris Angus <[log in to unmask]>
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From: Chris Angus <[log in to unmask]>
Subject: COURSE: Design of Experiments
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Course: City & Guilds Licentiateship in Experimental Design
Duration: 1 year
(Day release ~1 day per month + work based technical project)
Audience: Team leaders, supervisors, ready for first post in management
=09
Venue: University of Newcastle upon Tyne + work based
Dates: October 2005
OPEN EVENING - Wednesday 20th July 5pm-7pm
Cost: =A33975 (funding up to 50% may be available)
The City & Guilds' programme offers a progressive employment-based route =
to higher level qualifications. The programme not only focuses on =
achieving technical expertise, but concentrates on those essential =
personal transferable skills, which are so important when taking up a =
managerial role.
To reserve a place at our open evening, or for further details contact =
us on 0191 222 5500 or e-mail [log in to unmask]
______________________________________
Chris Angus
General Manager
Industrial Statistics Research Unit
Stephenson Building
University of Newcastle upon Tyne
NE1 7RU
Tel: 0191 222 5500
Fax: 0191 222 7365
Visit our website at http://www.isru.ncl.ac.uk/
______________________________________
=========================================================================
Date: Thu, 14 Jul 2005 10:17:01 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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From: Margaret MacDougall <[log in to unmask]>
Subject: Resources for the super-skeptical
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Dear all
I would be most grateful if you could point me to any valulable resources which would assist me in justifying to a student why they should believe in 5% significance levels and confidence intervals. It is one thing to know how to interpret or derive them but quite another to know, for example, what the justification is for combining the individual parameters in the way that we do when calcuating a confidence interval. Ideally, I would welcome web-based resources but printed materials would also be of interest. Perhaps a little history lesson is required here but as the student lacks confidence and motivation, this option needs to be made as appealing as possible!
Best wishes
Margaret
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Date: Thu, 14 Jul 2005 10:29:57 +0100
Reply-To: [log in to unmask]
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From: Keith Briggs <[log in to unmask]>
Subject: Re: Resources for the super-skeptical
Comments: cc: [log in to unmask]
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A web resource justifying why you should *not* believe in 5% =
significance levels:
http://www.inference.phy.cam.ac.uk/mackay/itila/,
especially chapter 3.
Keith
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]]On Behalf Of Margaret MacDougall
Sent: 14 July 2005 10:17
To: [log in to unmask]
Subject: Resources for the super-skeptical
Dear all
I would be most grateful if you could point me to any valulable =
resources which would assist me in justifying to a student why they =
should believe in 5% significance levels and confidence intervals. It =
is one thing to know how to interpret or derive them but quite another =
to know, for example, what the justification is for combining the =
individual parameters in the way that we do when calcuating a confidence =
interval. Ideally, I would welcome web-based resources but printed =
materials would also be of interest. Perhaps a little history lesson is =
required here but as the student lacks confidence and motivation, this =
option needs to be made as appealing as possible!
Best wishes
Margaret
=20
=========================================================================
Date: Thu, 14 Jul 2005 12:38:17 +0100
Reply-To: Lawrence Hay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lawrence Hay <[log in to unmask]>
Subject: New Job : MSc PhD Statistician for Pharmaceutical Company !
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This is a great opportunity for a recently-qualified, dynamic young=20
Statistician to join an elite team within a world-leading pharmaceutical=20
company. This opportunity is open to non-clinical Statisticians who would=20
like to get into clinical statistics. =20
Over the last 100 years this company has established itself as a global=20
leader in the research-based healthcare industry. It ranks among the=20
world's top 10 pharmaceutical companies, employing around 65,000 people=20
worldwide, competing on the global market and anticipating international=20
market needs. While it plays a leading role in therapeutic areas such as=20
cancer, virology and transplantation, its overall mission is to reduce=20
suffering and improve health and the quality of life of people worldwide.
You will be primarily responsible for=20
=95 Providing high quality statistical support to clinical projects=20
across a variety of therapeutic areas including virology and inflammation,=20
under the direction of more senior statisticians
=95 Ensuring that activities performed within the project are executed=20
in a timely manner and to the required high statistical and reporting=20
standards, adhering to statistical standards and SOPs
=95 Developing and maintain proficiency with respect to in-house=20
computer facilities and associated software (SAS). Assist in programming=20
statistical outputs for the project and their validation
=95 Interacting with other departments and with external alliance=20
partners to ensure good coordination and communication
=95 Keeping and maintaining up-to-date project documentation including=20
that of presentation, analysis and graphics software
Minimum Requirements:
=95 =95 MSc or equivalent in Statistics
=95 =95 1+ year's relevant statistical experience ideally within a=20
clinical environment (however previous clinical experience is not=20
essential).=20
=95 =95 Ability to process information, analyse data and reach=20
conclusions based on sound reasoning
=95 =95 Sound problem-solving skills and ability to think outside own=20
area of expertise
=95 =95 Excellent communication skills, ability to liase outside and=20
inside the company
=95 =95 Sound organisational, teamworking and time-management skills
=95 =95 Energy and enthusiasm
=95 =95 Keen analytical mind
Keywords: Statistician, Junior Statistician, Statistics, Mathematics,=20
Statistical Analysis, SAS, Statistical Programming, SAS Programmer
Please contact Lawrence Hay at FForde- 01273 722366
OR EMAIL TODAY AS OUR PHONE LINES ARE DOWN!"""
[log in to unmask]
=========================================================================
Date: Thu, 14 Jul 2005 13:07:26 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Senior Lecturer in Medical Statistics, School of Medicine,
Trent Research and Development Support Unit
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
School of Medicine
Department of Health Sciences
Trent Research and Development Support Unit
Senior Lecturer in Medical Statistics
Scale: Senior Lecturer: =A337,558 to =A342,573 pa
Available for three years
Ref: A2117/JAU
The post-holder will work with the Director and others in the Leicester=20
Unit of RDSU to provide advice and methodological support to NHS=20
researchers and academic colleagues, develop and deliver educational=20
courses in a range of research methodologies, and undertake high quality=20
research in health or health-related issues. The post-holder will also=20
contribute to the development of and provide ongoing methodological support=
=20
to the Leicestershire, Northamptonshire and Rutland Clinical Trials Support=
=20
Unit.
The successful applicant will be an experienced medical statistician, with=
=20
appropriate postgraduate qualifications and Chartered Statistician status.=
=20
Practical experience of trials design and analysis is essential, as are=20
good presentational, supervisory, consultancy and interpersonal=20
skills. Experience of methodological aspects of health services research=20
and of the design and delivery of education in quantitative research=20
methodologies is essential.
Informal enquiries may be made to Martin Williams (tel: 0116-252-3276;=20
e-mail:=20
<file:///C:[log in to unmask]
>mjw48=20
@.le.ac.uk).
Downloadable application forms and further particulars are available by=20
following the link below, or in hardcopy from Personnel Services, tel: 0116=
=20
252 5114, fax: 0116 252 5140, email:=20
<mailto:[log in to unmask]>[log in to unmask],=20
www.le.ac.uk/personnel/jobs. Please note that CVs will only be accepted in=
=20
support of a fully completed application form.
Closing date: 9 August 2005.
Promoting equality of opportunity throughout the University
=========================================================================
Date: Thu, 14 Jul 2005 13:59:14 +0100
Reply-To: Jake Jackson-Smith <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Jackson-Smith <[log in to unmask]>
Subject: PK/PD Head of Biostatistics, Modelling and Simulation
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Content-Transfer-Encoding: 7bit
Role: Head of Biostatistics, Modelling and Simulation
Location: Germany
Company type: Pharma
Our client is one of the most innovative and exciting pharmaceutical
companies operating in the global pharmaceutical market today.
Headquartered in the heart of Europe they are undergoing a period of
restructuring and development in order to better position themselves for
further growth.
As a result of this process of expansion the client is now looking to
recruit an exceptional candidate to take on the position of:
Head of Biostatistics, Modelling and Simulation
We are currently expanding our Development Organization and are seeking
candidates to fill the role of Head of Biostatistics, Modelling and
Simulation.
The incumbent for this role will lead the Biostatistics and Modelling
and Simulation Groups within the Development Organization.
The Head Biostatistics and Modelling and Simulations will play a key
role in supporting both Science and Operations sections of Development
with his/her team and be expected to play a major part in improving the
efficiency and effectiveness of clinical development.
This position has broad responsibility for clinical trials PI-IV
conducted both in Europe and the US.
He/she will lead and manage an international team of statisticians,
PK/PD modelling experts in the Company; provide membership to various
International Clinical Teams, assuring statistical expertise to the
design, analysis and reporting of clinical programs and trials, as well
as to International Project Teams; support the preparation of regulatory
submissions; create innovative solutions for the Company's clinical
programs and studies; ensure high scientific standards for studies;
oversee analysis for product profiling.
In addition he/she will coordinate and manage outsourcing of operational
activities within Statistics and M&S and ensure the quality of all
operational activities within Statistics and M&S.
Key Qualifications
Requirements include:
. an MSc or Ph.D. degree in Statistics or Mathematics
. at least 8 years of relevant experience in the field of clinical
trials, at least 3 years of which shall have been in a statistical
leadership role within a pharmaceutical or biotechnology company
or at a Clinical Research Organisation, preferably within a global
setting.
. The successful candidate will have strong expertise in clinical
trials methodology; proven ability to develop and implement innovative
programs and processes; strong leadership, management and
organizational skills, and the demonstrated ability to build productive
relationships and teams internally and externally.
. He/she will have a reputation as an open, available and
transparent communicator; excellent written and verbal communication
skills; and will be a flexible, positive, creative thinker.
. Fluency in English, both written and verbal is essential
If you feel that this position could offer you a chance to develop your
career then feel free to forward me a copy of your CV in order to
facilitate a further confidential discussion.
Jake Jackson-Smith
Principal Consultant
+ 44 (0) 7835296339
[log in to unmask]
www.autusconsultancy.co.uk
Autus Consultancy (London)
E-mail disclaimer:
The information in the e-mail is confidential and may be legally
privileged. It is intended solely for the addressee. Access to this
e-mail by anyone else is unauthorized.
=========================================================================
Date: Thu, 14 Jul 2005 15:43:50 +0200
Reply-To: Werner Vach <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Werner Vach <[log in to unmask]>
Subject: JOB: Assistant/Associate Professor of Statistics in Denmark
MIME-Version: 1.0
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Assistant/Associate Professor of Statistics
Job description:
The Department of Statistics, University of Southern Denmark, invites=20
applications for a position as Assistant or Associate Professor of=20
Statistics under the Faculty of Science and Engineering. The appointment=20
is expected to take effect 1 January 2006 or later.
The department is cross-faculty with research groups in Mathematical=20
Statistics (in the Faculty of Science and Engineering) and in=20
biostatistica (in the Faculty of Health Sciences) The successful=20
applicant is expected to have a well-documentet research record either=20
in Mathematical Statistical or Applied Statistics in an area compatible=20
with current research interest in the department, see our website=20
www.stat.sdu.dk
The position involves teaching and consulting in the Faculty of Science=20
and Engineering up to Ph.D.level. The department`s teaching includes a=20
broad spectrum of statistical topics directed at students from both=20
science and engineering, as well as web-based distance education courses=20
in Applied Statistics. We emphasize the use of modern e-learning=20
methods, in particular the use SDU`s e-learning portal Blackboard. The=20
successful applicant will be expected to contribute to the department`s=20
teaching and consulting duties within this framework. We are=20
particularly interested in applicants with experience in statistical=20
teaching and consulting in the biological area, and our intention is=20
that the candidate should establish a working research relationship with=20
the subject areas in which he or she is teaching.
An expert committee will assess applications and the applicants will be=20
informed of their assessment by the university.
For further information please contact Head of Research Professor Werner=20
Vach, Department of Statistics, Tel: +45 6550 3383, e-mail:=20
[log in to unmask] or Professor Bent J=F8rgensen, tel: +45 6550 3397,=20
e-mail: [log in to unmask]
Application, salary, etc.:
The successful applicant will be employed in accordance with the=20
agreement between the Ministry of Finance and AC (the Danish=20
Confederation of Professional Associations).
Applications must include the following:
- A curriculum vitae with relevant paperqualifications
- A list of all publications plus a list of 5-10 of the most relevant=20
publications (these publications must be enclosed)
- Documentation of previous teaching experience
- A list of all enclosuers
- All enclosures must be numbered, state the applicants name, and be=20
assembled in sets.
The university encourages all interested persons to apply, regardless of=20
age, genger, religious affiliation or ethnic background.
Please send 4 copies of the application including all enclosures, marked=20
"position no. 053033" to: Det Naturvidenskabelige og Tekniske Fakultet,=20
Campusvej 55, 5230 Odense M, Denmark. The closing date is 5 September=20
2005 at 12:00.
Employment starts: 01.01. 2006
Closing date 05.09. 2005 at 12 noon
Location: Odense
Mark application Job ID 053033 and send it to:
Det Naturvidenskabelige og Tekniske Fakultetssekretariat
Syddansk Universitet
Campusvej 55
5230 Odense M
--=20
Werner Vach=20
Forskningsenheden for Statistik - Syddansk Universitet=20
Department of Statistics - University of Southern Denmark=20
Mail address: Campusvej 55, 5230 Odense M, Denmark=20
Visitors' address: J.B. Winsl=F8ws Vej 9, entrance B, 5000 Odense C, Denm=
ark =20
phone: +45 65 50 33 83 fax: +45 65 95 33 45
email: [log in to unmask]
=========================================================================
Date: Thu, 14 Jul 2005 15:02:44 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Senior Statistician / Head of Statistical Section Medical
Research Council / Uganda Virus Research Institute
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Medical Research Council / Uganda Virus Research Institute
MRC/UVRI Uganda Research Unit on AIDS
The MRC/UVRI Uganda Research Unit on AIDS conducts large-scale=20
epidemiological and intervention studies, clinical trials, virological and=
=20
immunological research and behavioural studies. The overall goal of the=20
Unit is to contribute to improving the health of the people in developing=20
countries, particularly in sub-Saharan Africa. The Unit has an=20
international reputation for excellence in HIV/AIDS related research.
We are interested in receiving applications from suitably qualified=20
candidates for the following post:
Senior Statistician / Head of Statistical Section
The holder of the position leads the statistical services of the Unit=20
scientifically and managerially. He/she organises and supervises data=20
management; and plans, performs and supervises statistical analyses. The=20
post holder makes substantial contributions to the publications of the=20
Unit=92s research results. He/she is also expected to develop his/her own=
=20
programme of research within the Unit=92s disease focus.
The successful candidate will have a background in mathematics and=20
statistics with a PhD or MSc degree; at least 8 years of professional=20
experience in statistics and epidemiology; and at least 4 years of working=
=20
experience in developing countries, including experience in the leadership=
=20
and management of statistical services within a research environment. Good=
=20
interpersonal, organizational and communication skills are essential, as=20
are excellent knowledge of written and spoken English.
The salary for this post will depend on qualifications and experience and=20
will be within Band 2 (the salary range for this band starts at =A342,296=
per=20
annum). For displaced staff the package will also include generous=20
overseas allowances, furnished accommodation, flights and other benefits.=20
The post will be for initially 3 years extendable by mutual agreement.
Application forms and further details are available electronically from=20
[log in to unmask] Alternatively hard copies are=20
available by leaving a message on 020 7637 6005 or by faxing Samantha Smith=
=20
on 020 7637 0361.
The closing date for applications is Friday 29th July 2005. Interviews are=
=20
expected to be held in London during the week beginning 22nd August 2005.
For further information about MRC visit <http://www.mrc.ac.uk/>www.mrc.ac.uk
MRC is an Equal Opportunities Employer.
=========================================================================
Date: Thu, 14 Jul 2005 15:49:22 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Clarification on 'Resources for the super-skeptical'
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Many thanks for the replies and suggestions thus far. I am sorry for not clarifying that I illustrate the limitations of a 5% significance level to students by sharing the notion of clinical significance and providing a topical example. However, this does not eliminate the value that would be gained from having a resource which points the student to how the notion of statistical significance evolved, similarly w.r.t. to that of confidence interval.
Additionally, there is a lot of literature around, I am sure, such as 'Statistics with Confidence' which say why the confidence interval is the preferable choice when interpreting tests of significance. However, it would also be of much interest to see a historical account (suitable for non-statisticians) of how the confidence interval evolved.
With a view to being more helpful, contexts in much this support material would prove most useful would be in the interpretation of a t-test, say and in the use of Forest Plots to test for the significance of an effect.
Hope this clarifies any misunderstandings
Please keep sending these suggestions!
Yours most gratefully
Margaret
---------------------------------
Yahoo! Messenger NEW - crystal clear PC to PCcalling worldwide with voicemail
=========================================================================
Date: Thu, 14 Jul 2005 10:54:06 -0400
Reply-To: Indranil Sen <[log in to unmask]>
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<[log in to unmask]>
From: Indranil Sen <[log in to unmask]>
Subject: Generation of correlated multivariate weibul
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Dear all,
I am tryignt to generate correlated multivariate weibul distributions.
Any link to any literature or algortihm is highly appreciated.
Thanks for your help,
Indranil
=========================================================================
Date: Thu, 14 Jul 2005 09:55:42 -0500
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Interval Censoring in Survival Analysis
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Dear All,
I am interested in learning about interval censoring in survival
analysis. Particularly, those techniques that have been developed to
model multiple failure-time (recurrent) events. Most of these models
were intended for right censoring, however, I interested in an
interval censoring framework. Can anyone suggest a good introductory
text or articles etc. to the topic?
=20
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D
Raphael A. Fraser, MSc
Assistant Lecturer in Medical Statistics
Sickle Cell Unit
Tropical Medicine Research Institute
Faculty of Medical Sciences
University of the West Indies
Kingston
Jamaica
Tel: (876) 927-2471; 410-4699
Fax: (876) 927-2984
e-mail: [log in to unmask]
=========================================================================
Date: Thu, 14 Jul 2005 15:50:12 +0000
Reply-To: Michael Waller <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Waller <[log in to unmask]>
Subject: Job: Statistician - Institute of Cancer Research, Sutton
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SECTION OF CANCER GENETICS
Statistician
The Institute of Cancer Research is at the forefront of international can=
cer=20
research and, with the Royal Marsden NHS Trust, forms the largest=20
comprehensive cancer centre in Europe. The Section of Cancer Genetics has=
an=20
international reputation for its work on understanding inherited=20
susceptibility to a number of tumours. We are expanding our programme of=20
work in statistical genetics and seek a researcher with relevant experien=
ce=20
in statistical methodology.
The successful candidate will contribute to ongoing studies as well as to=
=20
the design and analysis of new projects. Applications are invited for thi=
s=20
new 2-year Cancer Research UK post to work on genetic susceptibility to=20
cancer. There will be the possibility of renewal, subject to future grant=
=20
applications. Applicants must have: a postgraduate qualification in=20
statistics or equivalent qualification; experience in a research=20
environment; good organisational and interpersonal skills; self motivatio=
n,=20
the capacity to work in a team and the ability to produce reports to=20
deadlines. Work will be based in the new laboratories within the purpose=20
built Cancer Genome Centre in Sutton.
The starting salary will be in the range of =A322,887 to =A332,380 per an=
num=20
inclusive. Salary will be commensurate with qualifications and experience.
To apply, please send two copies of your CV including the names and=20
addresses of two referees, to the HR Office, The Institute of Cancer=20
Research, 123 Old Brompton Road, London SW7 3RP quoting reference number=20
HAD50. For a job description and person specification please visit our=20
website at www.icr.ac.uk/jobs.html. Alternatively you may call our 24 hou=
r=20
recruitment line on 020 7153 5475.
Potential applicants are encouraged to discuss the post with Richard=20
Houlston before applying (tel: 0208 722 4175; e-mail:=20
[log in to unmask]).
Closing date for applications: 29th July 2005
=========================================================================
Date: Thu, 14 Jul 2005 16:55:43 +0100
Reply-To: Nancy Barker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nancy Barker <[log in to unmask]>
Subject: ANNOUNCE : PSI One-day meeting
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Please find below attached details of a one-day meeting to be run by =
PSI.
Note that 'early-bird' registration savings can be made until 10th =
August
2005.
Please contact Alison Houghton using the contact details given below if =
you
have any queries.
Imaginative Use of Visuals
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D
To discuss the use of visual representations of data, and how this can =
add
value (or mislead) in its interpretation!=20
14th September 2005
Venue
-----
Browns Courtrooms
82 - 84 St Martins Lane
Covent Garden
London
WC2N 4AA
Agenda
------
09.30 - 10.00 Registration
10.00 - 10.40 The good, the bad and the ugly: Figures in Clinical =
Trial
Publications
Stuart Pocock, Medical Statistics Unit, London School =
of
Hygiene and Tropical Medicine
10.40 - 11.20 Informative safety graphics
Peter Lane, GSK
11.20 - 11.40 Coffee=20
11.40 - 12.20 Some Graphical Presentations of Safety Data
Harry Southworth, AstraZeneca
12.20 - 13.00 Graphical Methods for Safety Analyses=20
Achim Guettner, Novartis
13.00 - 14.00 Lunch
14.00 - 14.40 What you know is what you've seen: visualizing =
clinical
trial data
Andreas Krause, Novartis
14.40 - 15.20 Professional Graphics Required? SAS/GRAPH is the only
option!
Justine Eastman, Independent consultant
15.20 - 15.40 Coffee=20
15.40 - 16.20 Using "interactive" graphics to provide a rich =
reporting
environment
Richard Pugh, Mango Solutions
=20
16.20 - 17.00 Interactive graphical navigation
Graham Downing, PPD
17.00 Meeting Closes
Registration Costs=20
------------------
Fee includes lunch & refreshments
Registration before 10th August 2005 PSI Members =A3129.25 =
(inc.
=A319.25 VAT)
Non-Members =A3146.88 =
(inc.
=A321.88 VAT)
Registration on or after 10th August 2005 PSI Members =A3188.00 =
(inc.
=A328.00 VAT)
Non-Members =A3205.63 =
(inc.
=A330.63 VAT)
For more information or to Register=20
Contact:
-------
Alison Houghton
Tel: +44 (0)1625 267880 ext 228
Fax: +44 (0)1625 267879 =20
[log in to unmask]
PSI Executive Office
Resources for Associations
South Park Road, Macclesfield
SK11 6SH, UK
YOU CAN NOW REGISTER AND PAY ONLINE AT THE PSI WEBSITE
(http://www.psiweb.org/public/public.asp)
THE ABSRACTS FOR THIS MEETING CAN BE FOUND ON THE PSI WEBSITE
=20
=========================================================================
Date: Thu, 14 Jul 2005 16:59:05 +0100
Reply-To: Kerenza hood <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kerenza hood <[log in to unmask]>
Subject: post: Snr Medical Statistician (Cardiff)
Mime-Version: 1.0
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Please see below an advert for a job in Cardiff. Contact details are at =
the end of the advert (please don't reply to me).
Thanks
Kerry
VELINDRE NHS TRUST
Wales Cancer Trials Unit
Senior Medical Statistician=20
Associate Director, Wales Clinical Trials Unit
(Honorary Senior Lectureship in Medical Statistics, University of Cardiff =
will be sought)
Salary: =A345,000-=A350,000
Hours: 37.5 hours per week
Division: Cancer Services
Base: Wales Clinical Trials Unit, 12 Cathedral Road, Cardiff
Duration: Permanent=20
Benefits: Guaranteed Final Salary Pension, Life Assurance Cover=20
Applications are invited for an experienced Medical Statistician who can =
make a major contribution to the development, leadership and strategic =
direction of the newly established and National Cancer Research Institute =
accredited Wales Clinical Trials Unit (WCTU).
The postholder, as Associate Director of the Wales Clinical Trials Unit, =
will be involved in all aspects of the management and statistical =
oversight of the portfolio of trials run by the WCTU and will represent =
the Unit on the NCRI Heads of Trials Units Committee. S/he will be =
expected to manage and develop specialist research teams and statistical =
staff working on WCTU trials as well as overseeing WCTU budgets.
This is an opportunity to contribute to a unique development in Wales for =
a statistician with organisational and strategic vision as well as sound =
financial and personnel management experience in the context of clinical =
trials. Applicants will be expected to demonstrate a national track record =
in clinical trials.
Applicants should possess a postgraduate qualification in statistics and =
have previous experience in the management and co-ordination of clinical =
trials. Previous experience in cancer research is desirable.=20
The WCTU is based in Cardiff but regular travel to sites across the UK and =
internationally is expected in this role.=20
For an application pack, please contact the Human Resources Department, =
Velindre Trust Headquarters on Tel: 029 2031 6931 or email ( ) quoting =
reference number VEL
Informal enquiries are encouraged. Please contact: Lucy Branston, WCTN =
Manager [log in to unmask] Tel 029 2031 6241 or Prof =
Tim Maughan, Director of WCTU and WCTN [log in to unmask]
Tel 029 2031 6904.
The Trust uses the Criminal Records Bureau Disclosure System and will =
apply for an appropriate disclosure check on the successful applicant.
Closing Date: 3rd August 2005
Interviews will take place in Cardiff on 10th August 2005
Dr Kerenza Hood
Senior Lecturer in Statistics
Department of General Practice
School of Medicine
Cardiff University
Cardigan House
University Hospital Wales
Heath Park
Cardiff
CF14 4XN
Tel: 029 20748936 (direct)
Fax: 029 20743833
=========================================================================
Date: Thu, 14 Jul 2005 09:03:59 -0700
Reply-To: Alex Sverdlov <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alex Sverdlov <[log in to unmask]>
Subject: order statistics of dependent sample
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Dear ALLSTAT users,
I have recently faced an interesting problem, which I
don't know how to handle.
Suppose we have 2 groups: placebo and drug.
Vector X=(X_1,...,X_t) corresponds to responses of a
patient on a drug, at time points 1,...,t. It is
assumed to be multivariate normal with mean \mu_D and
covariance matrix \Sigma (having compound symmetry
structure).
Similarly, Y=(Y_1,...,Y_t) is a multivariate normal
vector with mean \mu_P and the same covariance matrix
\Sigma, represents responses on placebo.
Assume that X and Y are independent (parallel arm
design)
Parameter of interest is M = maximum component of
(mu_D-mu_P). I need to obtain a 95% CI for M.
Are there any results about the distribution of sample
maximum for dependent sample?
Thanks in advance,
Alex.
__________________________________________________
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=========================================================================
Date: Thu, 14 Jul 2005 17:17:38 +0100
Reply-To: "sue welham (RRes-Roth)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "sue welham (RRes-Roth)" <[log in to unmask]>
Subject: Job: POST DOCTORAL SCIENTIST - Statistician at Rothamsted
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POST DOCTORAL SCIENTIST - Statistician
Required to provide statistical consultancy and statistical research =
within the Biomathematics and Bioinformatics Division at Rothamsted =
Research. The post-holder will be part of the group responsible for =
statistical consultancy with scientists in the 'Crop Performance and =
Improvement' and 'Plant Pathogen Interactions' divisions at Rothamsted.=20
The successful applicant will act as first point of contact for queries =
and be enabled to develop an area of expertise and build up longer term =
collaborative relationships with scientists. This post gives an =
excellent opportunity to gain experience in the application of =
statistics to modern areas of biological science. As a member of the =
statistical consultancy team, the post holder will also be involved in =
the development of statistical QA procedures and training.=20
The post holder will also act as a research collaborator with respect to =
work on variety trials funded by the Australian GRDC aimed at detecting =
environmental variables that can be used to increase the precision of =
local-area predictions of variety performance.
This post is available at Rothamsted Research for 3 years. Candidates =
should have a first degree or post-graduate qualification in statistics =
or a related mathematical subject and at least three years relevant =
statistical experience. The ability to work as part of a team is also =
essential. The appointment is within Band 6-PD with a salary range =
normally between =A322,351 and =A325,767 per annum.
Apply by application form only, available with further particulars from =
our website www.rothamsted.bbsrc.ac.uk or from the HR Group, Rothamsted =
Research, Harpenden, Herts, AL5 2JQ. Please quote reference 849.
Closing date: 12 August 2005
Sue Welham
Biomathematics and Bioinformatics
Rothamsted Research
Harpenden UK AL5 2JQ
E-mail: [log in to unmask] =20
Tel: +44 (0)1582 763133 ext 2278 =20
Fax: +44 (0)1582 467116 =20
Rothamsted Research is a company limited by guarantee, registered in =
England under the registration number 2393175 and a not for profit =
charity number 802038.
=20
=========================================================================
Date: Thu, 14 Jul 2005 16:27:32 -0700
Reply-To: richard bowyer <[log in to unmask]>
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<[log in to unmask]>
From: richard bowyer <[log in to unmask]>
Subject: Query: Comparing survey proportions using the ratio estimate
Mime-Version: 1.0
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Hi All,
My question concerns a Hypothesis test to compare proportions between 2
survey samples when they are computed using the ratio estimate. What is the
test statistic?
Since the ratio estimate is biased can this also be factored in?
In the case of a simple random sample I can just apply the standard Z test
to compare 2 proportions with the following formula:
Sample 1: proportion = p1 = r1/n1, sample size = n1, sample fraction = f1
Sample 2: proportion = p2 = r2/n2, sample size = n2, sample fraction = f2
My test statistic Z = (p1 - p2) / sqrt{ p(1-p)*[ (1-f1)/(n1-1) +
(1-f2)/(n2-1) ] }
where p = (n1*p1 + n2*p2)/(n1+n2) is the pooled proportion estimate.
However if I am using the ratio method to estimate p1 and p2 it is not clear
to me how to construct the test statistic and whether it has a t-dist. or
Z-dist. So for example
Sample 1:
- n1 sample units, xi1 experiment units of which yi1 have my attribute of
interest in each sample unit (i=1,...n1)
- sample fraction = f1
- p1 = sum(yi1)/sum(xi1) (i= 1,.....n1). This is a biased estimate.
- var(p1) = (1-f1)/[n1*mean(x1)^2] * {p1^2*var(x1) + var(y1) -
2*p1*cov(x1,y1) }
where var(.) is the variance and cov(.,.) the covariance. Sample 2 would be
defined in a similar manner.
So in this case does Z = p1-p2 / sqrt( var(p1) + var(p2) )??
Or do I need to compute a pooled estimate of var(p1-p2)??
Also since p1 is a biased estimate of P1 the true proportion i.e. E(p1) = P1
+ bias; can I just subtract the bias from my estimate p1 so that is
unbiased?
Many thanks in advance for your help,
Richard
=========================================================================
Date: Fri, 15 Jul 2005 09:53:51 +0100
Reply-To: Jake Jackson-Smith <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Jackson-Smith <[log in to unmask]>
Subject: Head of Biostatistics, Modelling and Simulation
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Role: Head of Biostatistics, Modelling and Simulation
Location: Germany
Company type: Pharma
Package: Industry leading remuneration package available
for the right candidate.
Our client is one of the most innovative and exciting pharmaceutical
companies operating in the global pharmaceutical market today.
Headquartered in the heart of Europe they are undergoing a period of
restructuring and development in order to better position themselves for
further growth.
As a result of this process of expansion the client is now looking to
recruit an exceptional candidate to take on the position of:
Head of Biostatistics, Modelling and Simulation
We are currently expanding our Development Organization and are seeking
candidates to fill the role of Head of Biostatistics, Modelling and
Simulation.
The incumbent for this role will lead the Biostatistics and Modelling
and Simulation Groups within the Development Organization.
The Head Biostatistics and Modelling and Simulations will play a key
role in supporting both Science and Operations sections of Development
with his/her team and be expected to play a major part in improving the
efficiency and effectiveness of clinical development.
This position has broad responsibility for clinical trials PI-IV
conducted both in Europe and the US.
He/she will lead and manage an international team of statisticians,
PK/PD modelling experts in the Company; provide membership to various
International Clinical Teams, assuring statistical expertise to the
design, analysis and reporting of clinical programs and trials, as well
as to International Project Teams; support the preparation of regulatory
submissions; create innovative solutions for the Company's clinical
programs and studies; ensure high scientific standards for studies;
oversee analysis for product profiling.
In addition he/she will coordinate and manage outsourcing of operational
activities within Statistics and M&S and ensure the quality of all
operational activities within Statistics and M&S.
Key Qualifications
Requirements include:
. an MSc or Ph.D. degree in Statistics or Mathematics
. at least 8 years of relevant experience in the field of clinical
trials, at least 3 years of which shall have been in a statistical
leadership role within a pharmaceutical or biotechnology company
or at a Clinical Research Organisation, preferably within a
global setting.
. The successful candidate will have strong expertise in clinical
trials methodology; proven ability to develop and implement
innovative programs and processes; strong leadership,
management and organizational skills, and the demonstrated ability
to build productive relationships and teams internally and
externally.
. He/she will have a reputation as an open, available and
transparent communicator; excellent written and verbal communication
skills; and will be a flexible, positive, creative thinker.
. Fluency in English, both written and verbal is essential
If you feel that this position could offer you a chance to develop your
career then feel free to forward me a copy of your CV in order to
facilitate a further confidential discussion.
Jake Jackson-Smith
Principal Consultant
+ 44 (0) 7835296339
[log in to unmask]
www.autusconsultancy.co.uk
Autus Consultancy (London)
E-mail disclaimer:
The information in the e-mail is confidential and may be legally
privileged. It is intended solely for the addressee. Access to this
e-mail by anyone else is unauthorized.
=========================================================================
Date: Fri, 15 Jul 2005 10:07:24 +0100
Reply-To: Peter Lynn <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Lynn <[log in to unmask]>
Organization: University of Essex
Subject: CALL FOR PAPERS: "Improving Estimates from Survey Data"
Comments: To: [log in to unmask]
Comments: cc: "Stephen P. Jenkins" <[log in to unmask]>, [log in to unmask]
In-Reply-To: <[log in to unmask]>
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You are invited to participate in the biennial conference of the
International Association for Research in Income and Wealth (IARIW),
Joensuu, Finland, 20--26 August 2006. Full details of the conference as
a whole are provided at http://www.iariw.org (follow the
Conferences/Future Conferences links).
In particular, you are invited to submit an abstract (and, later, a
paper) for a session on "Improving Estimates from Survey Data". Feel
free to circulate this invitation among anyone you think might be
interested in the session, or in the conference as a whole. The session
description is as follows:
Session 2B: Improving Estimates from Survey Data (Monday, 21 August
2006, afternoon)
-------------------------------------------------------------------------------------
Many important economic and social indicators and components of the
national accounts are derived from surveys, cross-sectional and
longitudinal. Such data are also an essential part of building
statistical models for the interpretation and explanation of these
indicators. But survey data are imperfect: for example, they may suffer
from item-nonresponse and unit-nonresponse, and the data collected may
be subject to measurement errors of various kinds. Two main ways of
addressing these issues are (1) improvements to survey instruments, i.e.
at the data collection stage, using different types of questions, or
different collection methods; and (2) addressing the issues after data
collection, e.g. imputation, weighting, incorporation of information
from external sources such as administrative records or other surveys,
using 'complementary data sets', statistical methods, etc.
This session seeks papers concerned with innovative approaches to
addressing the imperfections of survey data, using these two strategies
or something closely related. Subject to this focus in strategy, we
envisage a wide-ranging set of papers for the session. For example,
papers might take a survey methodology or statistical modelling
approach; they might be concerned with surveys of households, firms, or
other units; and they might be based on cross-sectional or longitudinal
surveys and, under the second strategy, may use a range of types of
survey or non-survey sources (such as administrative records and
registers, etc.)
Session organizers: Stephen Jenkins and Holly Sutherland, University of
Essex, Colchester, UK
To make a submission, or for further enquiries, please email Stephen
Jenkins <[log in to unmask]>.
The rest of this message provides further information about (1)
submission procedure and timetable, and (2) session format. [These are
common to IARIW sessions and conferences.]
(1) Submission procedures and timetable
-----------------------------------
(a) Submissions of papers for this session is by abstract (maximum 500
words), sent as ASCII text in the body of an email, to Stephen Jenkins
<[log in to unmask]>. Submissions must be received by 31 August 2005.
(b) Submission of full papers at this stage (in pdf format), if you have
one, is also welcome. If you do send a full paper, you should also
submit an abstract in the format specified in (a).
(c) Notification of which abstracts/papers are accepted for the session
is by 1 October 2005.
(d) A first full draft of the paper is to be sent to the session
organizer by 31 March 2006.
(e) A revised full draft should be available for distribution to the
session discussant and participants by 31 May 2006.
Note 1. the IARIW conference secretariat requires that papers not
received in time get dropped from the programme. (The secretariat will
compile the final versions and make them available to conference
participants on 31 July 2006.)
Note 2. Submissions from scholars in developing and transition countries
would be greatly welcomed. There exists a travel grant for one
developing or transition country participant whose paper has been
accepted for the conference. (See the IARIW web site or the December
2004 issue of the Review of Income and Wealth for details and
deadlines.) The web site and the 2005 issues of the Review also give
details of other conference sessions seeking contributions.
(2) Session format
------------------
Papers at an IARIW Conference must be completed and distributed several
months before the conference. In each session (other than contributed
papers sessions), papers are presented by a discussant (nominated by the
session organizer), audience discussion follows, and finally the author
responds to comments. Thus it is critical that the papers are finished
in a timely manner.
Typically sessions have the following format:
(a) Introduction by Session Organizer (5 minutes);
(b) Invited Discussant gives a summary and critique of the invited paper
(15 - 20 minutes per paper discussed);
(c) The floor is opened to comments and questions, each of which should
be limited to three (3) minutes per participant;
(d) The Author is guaranteed ten minutes to answer his/her Discussant
and questioners.
Generally sessions consist of 4 to 6 papers. However, depending on the
number and quality of papers submitted, there may be the opportunity to
distribute additional papers at the conference or to have them
considered for other submitted papers sessions. (See
http://www.iariw.org for details)
Stephen
-------------------------------------------------------------
Professor Stephen P. Jenkins <[log in to unmask]>
Institute for Social and Economic Research
University of Essex, Colchester CO4 3SQ, U.K.
Tel: +44 1206 873374. Fax: +44 1206 873151.
http://www.iser.essex.ac.uk
=========================================================================
Date: Fri, 15 Jul 2005 10:41:22 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW VACANCY: Biostatistics Section Manager OR Statistics Head - P
re & Non-clinical statistics (UK Based)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
> Dear Allstaters,
>
> please find attached the latest permanent vacancy for you to review;
>
> Top ten company seeks a non-clinical Biostatistician, a key position in
> one of its premier sites, with demonstrated knowledge of statistical
> theory and applications pertaining to general linear models and variance
> components.
>
> Non-clinical drug development is a complex, regulatory-driven process
> designed primarily to assess the safety and viability of new molecular
> entities. Non-clinical, or preclinical, services encompass toxicology,
> pharmacology, metabolism, bioanalysis, pharmaceutical analysis and
> biosafety testing in support of non-clinical drug development.
>
> The successful candidate will provide statistical support to non-clinical
> areas of R&D, especially in the area of toxicology. Collaborate with
> scientists to plan meaningful experimental studies, statistically analyze
> the results of those and other studies, and communicate results. Genetic
> toxicity testing. Develop and deliver statistical training modules to meet
> the needs of the scientific community. Although a management role, this is
> one of the "hands-on" variety, with a maximum of 1 day a week of
> management.
>
> A minimum of an M.S. - Statistics is required. Two to five years
> statistical consulting experience, preferably in a laboratory science
> environment is required. Strong statistics background with a good working
> knowledge of linear, nonlinear, and multivariate statistics required.
> Other desirable attributes include: Several years statistical experience
> consulting and collaborating in a scientific environment, preferably with
> pharmaceutical experience. Ability to balance many projects and clients
> simultaneously. This problem-solver will be capable of technically
> addressing unique statistical problems and possess the ability to provide
> clear and technically sound, well-communicated guidance to
> non-statistician clients. Pharmaceutical / biotechnology industry
> experience in assay validation, quality control, process optimisation and
> validation, design of experiments and pharmacokinetics required.
> Knowledge of appropriate regulatory agency regulations and guidelines.
> Good team player - contributing to project team goals and interacts with
> other statisticians at other sites. Desirable; A PhD in Statistics is
> desired.
>
> This company offer a VERY competitive salary + benefits package
>
> If you are interested in this role please get in contact ASAP for a
> confidential chat and more details.
>
> Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>
www.1st-itpeople.com <http://www.1st-itpeople.com>
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
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=========================================================================
Date: Fri, 15 Jul 2005 11:25:33 +0100
Reply-To: Tristan Barnfather <[log in to unmask]>
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<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: Job: SAS Group Manager
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My client is a global pharmaceutical company currently undergoing a
restructure. This has created a 6 month contract vacancy for a SAS Group
Manager to be based at there R&D site in Mainland Europe.
Responsibilities include;
* Manage, and direct, the activities of the Statistical Programming group.
* Responsiblity for the accurate reporting of clinical trials in compliance
with relevant regulatory guidelines.
* Full responsibility to ensure all necessary input and support for
harmonization during the restructure.
* To increase efficiency and maintain a high level of quality in the SAS
programming area.
Qualifications include;
* At least 5 years SAS Programming experience
* At least 2 years managerial experience
* Familiarity with standard programming practices and regulatory guidelines
* Ability to define procedures
* Excellent communication skills (English is the business language)
For further information and specific details about the location and
excellent pay rates available please contact me using the details below;
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask]
www.srginteresource.com
**********************************************************************
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Date: Fri, 15 Jul 2005 11:36:43 +0100
Reply-To: Tristan Barnfather <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: Job: Senior Statistician - Central London
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A global pharamaceutical company based in central London are looking for a
Senior Statistician to become the primary contact for their Oncology
therapeutic area. This is a permanent position with a salary range up to
=A350k plus an excellent benefits package.
Main responsibilities will include;
* Provide input to international clinical development plans,
in co-operation with the International Clinical Team
* Bring statistical expertise to the design, analysis and
reporting of clinical trials phases I to IV
* Provide input in protocol development
* Prepare statistical analysis plan
* Write and develop statistical SOPs
* Manage outsourcing activities
Qualifications include;
* An MSc in Statistics
* At least 5 years relevant experience within Pharmaceutical
industry or CRO
* Oncology experience is an advantage
* Up-to-date knowledge in statistical concepts, methods, and
techniques
* Extensive experience in SAS / Statistical programming
For further information please contact me using the details below;
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask] =20
www.srginteresource.com =20
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are addressed. If you have received this email in error please notify
the system manager.
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=========================================================================
Date: Fri, 15 Jul 2005 10:55:09 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nigel Marriott <[log in to unmask]>
Subject: QUERY: Cluster Analysis with binary data
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Dear Allstat
Like many statisticians, I am frequently called upon to rescue a project which has been unable to answer its original question due to poor design. In this case, I have data from 2000 consumers who have been asked to rate a chocolate product. So as to increase the chances of drawing meaningful conclusions from the project, I want to see if the consumers can be segmented (into about 3 to 6 clusters) based on their answers to some screening questions.
I have demographic data but the more interesting segmentation is based on prior product preference data. All 200 consumers were asked 2 questions for each of 30 other well known chocolate products.
1. Is this product one of your favourites?
2. Have you eaten this product in the last 3 months?
The responses are binary with 1=Yes and 0=No. Therefore for Question 1 alone, I would have a 2000x30 binary data matrix.
It seemed to me that Cluster analysis is the best technique but I am struggling to get any meaningful clusters and I suspect the binary nature of the data is to blame. For a start 1/3 of respondents only chose 1 product as a favourite and only 5% chose more than 4 favourites out of 30 products in all. Therefore there are a large number of zeros in the data.
My questions are
1. Is Cluster analysis appropriate for binary data? If not what other techniques could I use?
2. Should I use a Similarity or Dissimilarity metric? I suspect dissimilarity but every pair consumers will have at least 25 zeros in common based on the observation about of the number of favourites chosen.
3. Which metric should I use given the answer to Q1 ? Initially I used euclidean distance but given the binary nature I think city-block distance is more appropriate.
4. Which linkage method is best for binary data? I have no preference at the moment but I have not given it much thought.
Finally I have also explored using another scale 0, 1, 2 where
0 = product is not a favourite and has not been eaten in last 3 moneths.
1 = Either product is a favourite or has been eaten.
2 = Products is both a favourite and has been eaten in the last 3 months.
IS such a scale more likely to give better results?
Regards
Nigel Marriott
Senior R&D Statistician
Masterfoods Europe
-----------------------------------------
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=========================================================================
Date: Fri, 15 Jul 2005 13:21:38 +0100
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: MANAGER OF STATISTICS - Contract
(=?iso-8859-1?Q?=A355-=A380/hou_r)_or_Permanent_(=A340-=A360K)?=
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Good afternoon to you all,
CK CIinical are currently handling a vacancy for a well respected CRO at =
their offices in the UK. Our client are prepared to consider experienced =
applicants on a permanent or interim contract basis to fill the role of =
Manager of Statistics. It involves the line management of 10-12 line =
reports as well as a hands on approach, acting as project statistician =
where appropriate.=20
Section: Contract Research Organisation
Areas of responsibility include:
* To have a broad experience of medical statistics, preferably in the =
pharmaceutical industry and contract research organisations.
* To have established a reputation amongst peers for high quality, sound =
science and team play.
* To provide a high level of theoretical and practical leadership to the =
biostatistics group, which provides statistical support for Phase I to =
IV studies.
* To raise the profile of statistics of the company such that it is =
recognised by clients and competitors as a benchmark service.
* To manage workloads and resources to achieve timely and accurate =
production of deliverables.
* To liase successfully with colleagues in other areas to achieve a =
cohesive and co-ordinated service to our clients and the development of =
a strong company team spirit.
* To set up and maintain project management tools which link to the rest =
of company.=20
* To organise the group structure to best achieve objectives.
* To provide statistical expertise to clients and colleagues during =
study design, protocol and analysis plan development, hypothesis testing =
and review of outcomes.
* To contribute to commercial client meetings by presenting company =
statistics capability in a positive, attractive way.
* To contribute to scientific client meetings by providing expertise and =
advice.
* To develop the biostatistics group's working standards through SOPs, =
training and influence.=20
To act as a project statistician as appropriate (hands on approach =
required) contributing to:
=B7 Study design
=B7 Sample size calculations
=B7 Statistical sections of protocols
=B7 Statistical analysis plans
=B7 Programming
=B7 Statistical reports
* To be responsible for the recruitment, management and development of =
team members.
* To contribute to process improvement, new systems and methods.
* To assist in the compilation of bids and contracts.
* To contribute to an open management culture.
Permanent Salary: =A340-60K dependent on experience
Contracting rates: =A355-=A380/hour dependent on experience
Please send CV's to [log in to unmask] or call for a =
confidential chat on 01438 743047
I look forward to your response.
regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please visit our website at www.ckclinical.co.uk
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Fri, 15 Jul 2005 16:27:17 +0100
Reply-To: "Gilthorpe, Mark S" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Gilthorpe, Mark S" <[log in to unmask]>
Subject: JOB: Chair in Epidemiology - University of Leeds, UK
Comments: To: [log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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DO NOT REPLY TO SENDER; see contact details below
Chair in Epidemiology - Job ref 330516
Centre for Epidemiology and Biostatistics, Leeds Institute of Genetics,
Health & Therapeutics, UNIVERSITY OF LEEDS, UK
Closing Date: 1-08-2005
Further details:
Applications are invited for this position within the Centre for
Epidemiology and Biostatistics. While the primary requirement will be to
appoint a first class candidate from any area of epidemiology, an =
individual
with a background in vascular disease epidemiology would provide the =
optimal
complementary experience to existing strengths within the Faculty. The =
post
holder will have international rated research activities in epidemiology =
and
would be expected to obtain external funding for a programme of =
research.
Collaborative research with other epidemiology groups and with other =
disease
orientated research groups at Leeds would be encouraged as would
multidisciplinary collaborations with the strong laboratory science =
groups
in LIGHT. S/he would also be expected to contribute to teaching =
activities
within the School of Medicine.
Salary is negotiable within the professorial range =96 minimum =A347,685 =
(with
effect from 1 August 2005). The University is introducing a new reward
framework which will facilitate the recruitment, retention and =
motivation of
world class staff.
Informal enquiries to Professor Chris Wild, tel +44 (0)113 343 6601, =
email
[log in to unmask] or Professor David Forman, tel +44 (0)113 392 4309,
email [log in to unmask]
Applications packs can be obtained from Susan Alexander, Recruitment and
Administrative Coordinator, Human Resources, University of Leeds, Leeds =
LS2
9JT, tel +44 (0)113 343 3949, email [log in to unmask]
Job ref 330516 Closing date 1 August 2005 (see
http://wwwnotes2.leeds.ac.uk/jobs/unijob.nsf/Chairs?OpenView for more
details)
=========================================================================
Date: Fri, 15 Jul 2005 17:18:53 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: SAS Programmer
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CONTRACT: SAS Programmer
=20
Salary: EURO circa 65ph, DOE=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
Working within a biostatistics team of 12 reporting direct to the Head
of department, you will be required to work on assigned projects
alongside the lead statistician. My client is a full service CRO so a
broad range of therapeutics and phases would be preferable. Candidates
must have 2+ yrs in a clinical programming position with expertise in
working with SAS. Fluency in English is essential. The contract will be
for an initial 12 months.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3581'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
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Date: Sat, 16 Jul 2005 08:27:52 +0100
Reply-To: Luisa Bernardinelli <[log in to unmask]>
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From: Luisa Bernardinelli <[log in to unmask]>
Subject: JOB:post doc position in Genetic Epidemiology and Statistical
Genetics, Cambridge (UK)
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*POSTDOCTORAL POSITION
*
The University of Pavia, Italy, offers a 2-year Postdoctoral position in Genetic Epidemioloy and Statistical Genetics to commence in October 2005.
The successful applicant will be based in the Medical Research Council Biostatistics Unit in Cambridge, UK, one of the leading European centres for both applied
and theoretical statistics.
The University of Pavia has been collaborating with the MRC
Biostatistics Unit for several years on a number of themes, including
the development
of Markov Chain Monte Carlo methods of simulation for the analysis of
complex stochastic systems, and the discovery of susceptibility genes in
Multiple Sclerosis.
The post holder will work under the supervision of Prof. Luisa Bernardinelli and Prof. Carlo Berzuini, long-term visiting scientists at the MRC Biostatistics Unit.
The post holder's task will involve: /a/) development, implementation and application of methods for the analysis of genetic linkage and association studies to data collected
in an isolated population of individuals affected by Multiple Sclerosis, and /b/) tutoring activity on statistical genetics and analysis of multivariate dependencies, as part of our
commitment to the MOLPAGE European project.
The candidate should have a PhD in a relevant field (statistics, mathematics, bioinformatics) or equivalent experience.
Preference will be accorded to candidates with experience in computer programming languages (such as R, SAS, Perl, and C), and in statistics and genetics.
The starting salary will be in the range 36.000-42.000
Euros, according to experience, plus a pension contribution. Any UK Income Tax and National Insurance contributions will
be handled via the Inland Revenue Direct Payment Scheme.
Letters of application or requests for further information should be
e-mailed to:
Prof LUISA BERNARDINELLI ([log in to unmask]
<mailto:[log in to unmask]>),
or
Prof. CARLO BERZUINI ([log in to unmask]
<mailto:[log in to unmask]>)
+44 1223 330300
The closing date for applications is 20th August 2005. It is expected
that interviews will take place during the weeks commencing 5th & 12th
September 2005
=========================================================================
Date: Sun, 17 Jul 2005 07:31:50 +0100
Reply-To: honey vincent valle <[log in to unmask]>
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From: honey vincent valle <[log in to unmask]>
Subject: measures of order
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I am tasked to do a module in statistics but I don't know what MEASURES OF =
ORDER are.=20
honey
--=20
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Date: Sun, 17 Jul 2005 15:05:37 +0200
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From: "S.O.Nyangoma" <[log in to unmask]>
Subject: Re: measures of order
Comments: To: honey vincent valle <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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Have a look at paragraph 3 of this.
http://www.gfi.uib.no/~nilsg/kurs/notes/node13.html
what you want could be just the order statistics and its
measures such as percentiles etc.
On Sun, 17 Jul 2005 07:31:50 +0100
honey vincent valle <[log in to unmask]> wrote:
> I am tasked to do a module in statistics but I don't
>know what MEASURES OF ORDER are.
>
> honey
>
>
> --
> _______________________________________________
> Surf the Web in a faster, safer and easier way:
> Download Opera 8 at http://www.opera.com
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Date: Mon, 18 Jul 2005 01:00:45 +0100
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I will be out of the office starting 15/07/2005 and will not return until
25/07/2005.
I will respond to your message when I return. Please contact Sue Morris
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Date: Mon, 18 Jul 2005 10:21:55 +0100
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From: Peter Watson <[log in to unmask]>
Subject: REMINDER - SPSS USERS MEETING 2005
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(downloadable versions of the registration form are available at
http://www.spssusers.co.uk/Events/2005/index.html)
ASSESS: SPSS USERS" GROUP, 19TH ANNUAL MEETING
FRIDAY 11TH NOVEMBER 2005
DEPARTMENT OF HEALTH SCIENCES
UNIVERSITY OF YORK, YORK
ASSESS is an independent user group for SPSS, a computer package for analysing
and presenting data. It is run by users, for users and is completely independent
of manufacturers of the software. The meeting is open to all users of SPSS and
to anyone interested in SPSS.
Come along to:
* hear SPSS users talk about applications,the problems and solutions
* hear the latest news from SPSS UK staff about product developments,
and put your questions to them
* question a panel of experts about particular problems
* exchange ideas with other SPSS users
* plan for an even better user group.
The Department of Health Sciences is in the Seebohm Rowntree Building on York
University campus located in Heslington, 2 miles to the south-east of the city
centre. It takes 10-15 minutes in a taxi from the railway station. Buses also
go to the University (See http://www.york.gov.uk/roads/bus/). University Parking
and location details are at http://www.york.ac.uk/np/maps/. Accommodation
is bookable via tourist information on (01904) 621756 or (01904) 554455.
THE PROVISIONAL PROGRAMME**
* Welcome and introduction to meeting
* SPSS company and product news; SPSS software demonstrations
* Ordered logistic regression Using PLUM
by Venkata Putcha, Thames Cancer Registry
* Issues in using SPSS in an educational research environment
by Ian Schagen, National Foundation for Education Research
* The use of SPSS in Market Research: segmentation and profiling of customers
by Kate Grayson, Statistics by Design
* Common SPSS procedures on health and medical data
by Elizabeth Wiredu, Edgehill College
* Lovely lucid logistics: the analysis and graphic presentation of
effects of nominal and metric variables on binary outcomes
by Diana Kornbrot, University of Hertfordshire
* Users" Question Time and Clinic
* Annual General Meeting of ASSESS.
Registration and coffee will start at 10am. Papers and other events will run
from 10.30am to about 5.10pm. Coffee, lunch and afternoon tea are included
in the registration fee. A timetable will be e-mailed to delegates in advance
of the meeting.
______________________
** The titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
ASSESS : SPSS USERS' GROUP
Friday 11th November 2005, Dept. Health Sciences, University of York
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received. Payment possible by BACS. Details on request.
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Date: Mon, 18 Jul 2005 12:13:39 +0100
Reply-To: "Kirk, Madeline C" <[log in to unmask]>
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From: "Kirk, Madeline C" <[log in to unmask]>
Subject: JOB: Research Assistant/Research Associate in Statistics -
Imperial College London
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Imperial College London
Research Assistant/Research Associate in Statistics
Division of Primary Care and Population Health Sciences
=A322,116-=A332,232 inclusive of London allowance (depending on =
qualifications and experience)=20
This is an exciting opportunity to join the INTERMAP study, a major =
international research programme on macro- and micronutrient intakes and =
blood pressure =
(http://www1.imperial.ac.uk/medicine/about/divisions/pcphs/eph/projects/c=
del/intermap/default.html), and to provide input into related studies in =
the area of cardiovascular epidemiology.=20
You will have an MSc or PhD in statistics or equivalent work experience, =
and experience in the use of SAS and Splus or equivalent statistical =
software. Your appointment to Research Assistant/Research Associate post =
will be dependant on your relevant qualifications and research =
experience. For further information please refer to the =
Qualifications/Knowledge section of the Person Specification. The post =
is for 12 months in the first instance.=20
For an informal discussion, contact Queenie Chan on 020 7594 3311.=20
http://www.imperial.ac.uk/employment/research/index.htm#2107rastats
To obtain an application form and further details, click on the link =
above. Alternatively, write to the Recruitment Assistant, HR Division, =
Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, =
quoting reference MJ073/05.=20
Closing date : 21 July 2005
Valuing diversity and committed to equality of opportunity
=A0
=========================================================================
Date: Mon, 18 Jul 2005 12:29:38 +0100
Reply-To: Anthony John Morton-jones <[log in to unmask]>
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From: Anthony John Morton-jones <[log in to unmask]>
Subject: PhD Studentship - statistical methods in astrophysics
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3 year PhD studentship
Department of Physics, Astronomy and Mathematics
University of Central Lancashire, Preston, UK
The studentship is to work with Dr Tony Morton-Jones (statistics) and
Dr Robert Walsh (astrophysics) on developing and applying statistical
methods for applications to current research in astrophysics within the
Centre for Astrophysics/Department of Physics, Astronomy and
Mathematics.
PROJECT DESCRIPTION
The project will seek to develop and employ statistical methods for the
analysis of observational data in astrophysics. In particular, modern
statistical approaches for model comparison and adequacy will be
utilised to analyse data from spectroscopic images of the Sun=27s
outermost atmosphere (the corona) from the Solar and Heliospheric
Observatory (SOHO) satellite, results from which are challenging
long-held views on the density and temperature structure of this
environment.=20
The corona is =22filled=22 with magnetic strands but determining their
precise nature has been evasive. However, recent data is revealing a new
way of understanding the energy flow in this system by determining how
the density changes through the atmosphere. The main question is then
which theoretical model best describes these density changes.
The project will combine both statistical and observational expertise
to tackle this problem. The statistical methodology is likely to employ
Bayesian sampling-based methods for model determination, with output
from hydrodynamic modelling under various modelling paradigms providing
prior information. The project will concentrate on the statistical
aspects of these investigations. The successful candidate will probably
therefore come from a statistics background (1st or 2:1 degree or MSc in
statistics or related discipline), and will not require any prior
knowledge of astrophysics or hydrodynamics. There is also potential for
the project to branch out from the coronal density application to other
areas of interest in the Department=27s astrophysics/statistics
activities.
=20
MAIN TASKS
The project will involve:-
* Analysis of solar spectroscopic data via established methods
* Statistical investigation/interpretation of best fit theoretical
models to observational data
* Use of IDL and Solarsoft packages
* Use of UCLan computing cluster=20
* Developing research for journal publication and presentation at
relevant conferences=20
WORKING ENVIRONMENT
The Centre for Astrophysics has a lively and friendly culture and
environment with an outstanding record of student achievement. All of
our last 15 PhD graduates have obtained excellent post-doctoral research
positions in astrophysics in: Cambridge, Oxford, Imperial College,
University College London, Paris, Florence, Helsinki, Naples,
Netherlands, New Mexico, Ohio, California and Australia. For more
information about the Centre for Astrophysics, visit
http://www.uclan.ac.uk/facs/science/physastr/cfa/index.htm For more
information about the Department of Physics, Astronomy and Mathematics,
visit http://www.uclan.ac.uk/facs/science/physastr/ .=20
For an informal discussion about the project, please contact Dr Tony
Morton-Jones, ajmorton-jones=40uclan.ac.uk, tel +44 (0)1772 893544, or Dr
Robert Walsh, rwwalsh=40uclan.ac.uk, tel +44 (0)1772 893557. Further
particulars and appliaction forms can be obtained (quoting reference
number RS/05/04) by contacting the Research Support Office,
researchdegrees=40uclan.ac.uk , tel +44 (0)1772 894287.
Dr Tony Morton-Jones
Deputy Course Leader Mathematics and Statistics
Department of Physics, Astronomy and Mathematics
University of Central Lancashire
Preston, UK
PR1 2HE
Tel +44 (0)1772 893544
email ajmorton-jones=40uclan.ac.uk
=========================================================================
Date: Mon, 18 Jul 2005 18:01:18 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW VACANCY: SAS Programmer (1 year contract) Based in the UK.
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> Dear Allstaters,
>=20
> please find attached the latest CONTRACT vacancy for you to review;
>=20
>=20
> TITLE: SAS Programmer - Phase I-IV Clinical Trials
>=20
> DESCRIPTION: Essential; educated to degree level or equivalent, 2 =
years
> minimum SAS programming experience within the pharmaceutical / CRO
> industry, SAS/base, SAS/macro, SAS/graph & PROC/Report. Workling for =
this
> major pharmaceutical client, your duties will include; programming =
high
> quality tables, listings & graphs. Working closely with the =
statisticians,
> devloping analysis databases, you will take an active part in =
protocol &
> CRF reveiw.
>=20
> CONTRACT LENGTH: 1 year initially.
> START DATE: ASAP, but they will wait for notice periods
> LOCATION: UK based.
RATE: =A3300 / day
> If you are interested in this role please get in contact ASAP for a
> confidential chat and more details.
>=20
> Regards
>=20
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>=20
www.1st-itpeople.com <http://www.1st-itpeople.com>=20
=20
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st =
IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. =
W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
=20
Offices in UK, Switzerland, The Netherlands & Hong Kong=20
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Date: Mon, 18 Jul 2005 22:29:29 -0400
Reply-To: "Alan E. Dunne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Alan E. Dunne" <[log in to unmask]>
Subject: On-line statistical services for Kendall's tau and w
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With Respect
Does anyone know of services providing the use of statistical =
software over the Internet? I am particularly interested in the =
calculation of Kendall's w and tau for a dataset with several =
measurements from the same subjects.
What I am interested in is a website or websites, where I could =
enter a dataset in common formats, and a credit card number, and have =
specified tests and measurements performed.
Can something like this be done with the R language?
Yours Sincerely,
Alan E. Dunne
=========================================================================
Date: Tue, 19 Jul 2005 11:00:43 +0200
Reply-To: Andras Vag <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andras Vag <[log in to unmask]>
Subject: Re: On-line statistical services for Kendall's tau and w
Comments: To: "Alan E. Dunne" <[log in to unmask]>
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Dear Alan
Here are some web-based tools:
a.. WebStat 3.0 (http://webstatsoftware.com)
b.. Rweb (http://www.math.montana.edu/Rweb/)
c.. Statiscope (www.df.lth.se/~mikaelb/statiscope/statiscope.shtml)
d.. SISA (www.home.clara.net/)
and a list of downloadable analysers. All of them are free to use.
Name
Internet address
=20
Biomapper=20
http://www2.unil.ch/biomapper/=20
=20
Dataplot
http://www.itl.nist.gov/div898/software/dataplot/
=20
EpiData=20
http://www.epidata.dk/=20
=20
First Bayes=20
http://www.shef.ac.uk/~st1ao/1b.html=20
=20
Instat Plus
http://www.rdg.ac.uk/ssc/instat/instat.html=20
=20
IRRISTAT
http://www.irri.org/irristat.htm=20
=20
LispStat
http://www.stat.uiowa.edu/~luke/xls/xlsinfo/xlsinfo.html=20
=20
Mielke and Berry - Statistical Software=20
http://www.stat.colostate.edu/~mielke/permute.html=20
=20
MIM31 student
http://www.hypergraph.dk=20
=20
Mx
http://views.vcu.edu/mx/=20
=20
OpenStat version 4=20
http://www.statpages.org/miller/openstat/=20
=20
Ox=20
http://www.nuff.ox.ac.uk/Users/Doornik/index.html=20
=20
R
http://www.r-project.org
=20
Scilab
http://www-rocq.inria.fr/scilab/=20
=20
SISA
http://home.clara.net=20
=20
SSP
http://www.economics.pomona.edu/StatSite/SSP.html=20
=20
StatCrunch=20
http://www.statcrunch.com/=20
=20
Statiscope=20
http://www.df.lth.se/~mikaelb/statiscope/statiscope.shtml=20
=20
Vista 5.5=20
http://forrest.psych.unc.edu/research/=20
=20
Webstat 3.0
http://webstatsoftware.com=20
=20
Weka 3
http://www.cs.waikato.ac.nz/~ml/weka/=20
=20
WINbug1.3
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml=20
=20
WinSAAM=20
http://www.winsaam.com/=20
=20
Best wishes
Andras Vag=20
----- Original Message -----=20
From: "Alan E. Dunne" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Tuesday, July 19, 2005 4:29 AM
Subject: On-line statistical services for Kendall's tau and w
With Respect
Does anyone know of services providing the use of statistical =
software over the Internet? I am particularly interested in the =
calculation of Kendall's w and tau for a dataset with several =
measurements from the same subjects.
What I am interested in is a website or websites, where I could =
enter a dataset in common formats, and a credit card number, and have =
specified tests and measurements performed.
Can something like this be done with the R language?
Yours Sincerely,
Alan E. Dunne
=========================================================================
Date: Tue, 19 Jul 2005 12:36:06 +0100
Reply-To: Adaikalavan Ramasamy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Adaikalavan Ramasamy <[log in to unmask]>
Organization: Cancer Research UK
Subject: Re: On-line statistical services for Kendall's tau and w
Comments: To: "Alan E. Dunne" <[log in to unmask]>
In-Reply-To: <000f01c58c09$b1559f20$0500a8c0@PIII500>
Content-Type: text/plain
Mime-Version: 1.0
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Try http://members.aol.com/johnp71/javastat.html
On Mon, 2005-07-18 at 22:29 -0400, Alan E. Dunne wrote:
> With Respect
>
> Does anyone know of services providing the use of statistical software over the Internet? I am particularly interested in the calculation of Kendall's w and tau for a dataset with several measurements from the same subjects.
>
> What I am interested in is a website or websites, where I could enter a dataset in common formats, and a credit card number, and have specified tests and measurements performed.
>
> Can something like this be done with the R language?
>
> Yours Sincerely,
> Alan E. Dunne
>
=========================================================================
Date: Tue, 19 Jul 2005 13:54:25 +0100
Reply-To: "Martin P. Holt" <[log in to unmask]>
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<[log in to unmask]>
From: "Martin P. Holt" <[log in to unmask]>
Subject: Validity of on-line tools
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I was impressed with Andras Vag's comprehensive reply just now, but
wondered: how do you know that the online calculator is giving you the right
answer ? In the pharmaceutical sector, "everything" has to be validated,
including software. If one uses the online services, is it at one's own risk
? ~ is it advisable to first validate it yourself (for the use one is making
of it ?). Has anyone had a bad experience with one of these web-based tools,
which, if valid, would be very useful ?
I'll summarise to the list, if appropriate.
Regards to the list,
Martin Holt
=========================================================================
Date: Tue, 19 Jul 2005 20:55:06 +0100
Reply-To: Doug Altman <[log in to unmask]>
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<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: MEETING: Centre for Statistics in Medicine, Oxford
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Centre for Statistics in Medicine, Oxford
10 YEAR CELEBRATION
=93MEDICAL STATISTICS: MAKING A DIFFERENCE IN HEALTH CARE=94
Tuesday 20th September 2005
9.30am-5pm
Magdalen College, Oxford
SPEAKERS:
Doug Altman Professor of Statistics in Medicine and Director of CSM
Martin Bland Professor of Health Statistics, York
Marion Campbell Professor of Health Services Research, Aberdeen
Paul Glasziou Professor of Evidence-Based Medicine, Oxford
Fiona Godlee Editor of BMJ
Peter G=F8tzsche Director of the Nordic Cochrane Centre, Copenhagen
Julian Higgins Statistician, MRC Biostatistics Unit
David Schriger Professor of Emergency Medicine, Los Angeles
The Centre for Statistics in Medicine was established in Oxford in=20
September 1995 and for the last 10 years the principal tenet of the work=20
has been to promote the awareness and application of appropriate=20
statistical methods in medical research. Eight keynote speakers will=20
provide an opportunity to reflect on the impact that the profession of=20
medical statistics has had on medical research as a whole. The day will be=
=20
enjoyed by individuals from either a medical or statistical background.
Registration: =A325 (includes lunch)
Registration form and further information available from:
http://www.csm-oxford.org.uk/anniversary
Or contact: Tracy Edwards 01865 284402; [log in to unmask]
=========================================================================
Date: Wed, 20 Jul 2005 09:33:36 +0100
Reply-To: Randy Banks <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Randy Banks <[log in to unmask]>
Subject: CONFERENCE - ASC ANNOUNCE - Maximising Data Value - UK- Sept 15-16
Comments: To: ASC Announcements <[log in to unmask]>
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**************************************************************
*** an announcement from The Association for Survey Computing.
*** Apologies for any cross-postings
**************************************************************
The programme is now complete for the ASC's next methods conference, Maximising
Data Value, which has been jointly organised by the ASC, the Office for National
Statistics (ONS), the Royal Statistical Society (RSS) and the Market Research
Society (MRS). The conference will take place at Newland Park, Bucks, UK on
September 15 and 16.
Papers are grouped into four thematic sessions, each led by a different
co-organiser:
Session 1. PROCESS INTEGRATION (ONS).
Keynote: KAREN DUNNELL, Director of Surveys and Administrative Sources, ONS.
'Towards a single continuous population survey for the UK.
Session 2, METHODOLOGY AND SOFTWARE FOR COMPLEX MODELS (RSS)
Keynote: NICKY BEST, Imperial College. 'Modelling complexity in health and
social sciences: Bayesian graphical models as a tool for combining multiple
sources of information'
Session 3. MODELS FOR DATA, METADATA AND KNOWLEDGE (ASC)
Keynote: ANDREW WESTLAKE, Survey & Statistical Computing. 'Combining Data and
Knowledge in Models: Promises and Problems'
Session 4. MULTI-MODE AND MULTI-SOURCE SURVEYS (MRS).
Keynote: GEORGE TERHANIAN, President, HI Europe. 'The Design and Analysis of
Research that Exploits Multiple Interviewing Modes and Multiple Data Sources:
Theoretical and Practical Advice'
The full programme is available on our web site, http://www.asc.org.uk, along
with information about the venue, fees and a booking form.
Hope to see you in September.
--------------------------------------------------------------------
Please reply to:
Diana Elder, Administrator ([log in to unmask])
ASC, PO Box 60, Chesham, Bucks, UK HP5 3QH
tel/fax: +44 (0)1494 793033
http://www.asc.org.uk
This message has been sent on behalf the ASC by:
Randy Banks ([log in to unmask])
Institute for Social and Economic Research (ISER)
University of Essex, Colchester, UK CO4 3SQ
---------------------------------------------------------------------
=========================================================================
Date: Wed, 20 Jul 2005 15:45:32 +0100
Reply-To: Audrey Lawrence <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Audrey Lawrence <[log in to unmask]>
Subject: QUERY : Inter-rater variability & Proc Catmod
I'd be grateful for any advice on the following:
4 independent raters have assessed a series of diagnostic photos using a
supposedly validated scale (0:None,...,3:Severe).
On checking the scores, the resulting kappa statistics are woefully low
(0.4 and below).
I want to test if one rater is systematically biasing the scores.
2 questions:
1. Is it appropriate to use Proc Catmod and the Contrasts statement?
2. If not, any suggestions?
Kind regards
Audrey.
=========================================================================
Date: Wed, 20 Jul 2005 19:28:06 +0100
Reply-To: John Norton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Norton <[log in to unmask]>
Subject: Kaplan-Meier and the problem of competing risks
Hello,
I am a new subscriber to this list after a colleague suggested I do so, as
the SPSS list was not addressing my concern.
Earlier this week I posted to the SPSS List a request for assistance with
addressing some criticisms levied against Kaplan-Meier survival analysis.
As I mentioned, I received no responses to my request so I'd like to re-
post the request here.
I have frequently used K-M survival analyses (using SPSS) to analyze time
to a critical event, and provide estimates the incidence of that event.
However, while K-M survival is a staple in the statistician's arsenal,
especially within the medical field, I would describe my understanding of
it as general.
However, I read recently that K-M survival analysis artificially inflates
the estimates of the actuarial incidence of an event, as compared to the
cumulative incidence model. As I understand it, "actuarial incidents" are
based on censoring patients who die or otherwise leave the analysis due to
causes other than from the disease.
Critics suggest that the K-M estimates are not appropriate if competing
risks are to be considered. K-M ignores the presence of competing risks,
whereas the cumulative incidence model does not.
So, K-M can underestimate the benefit of a particular intervention or
therapy because K-M artificially inflates the estimates, confidence
intervals, and SE at later time points. This they claim results from the
decreasing N of cases at risk at later time points.
The cumulative incidence model, on the other hand, does take into account
competing risks. So, it supposedly provides more accurate estimates of the
percentage of patients who will actually sustain an event.
With a general level of understanding relative to this procedure, I
unfortunately do not feel so well versed as to know whether the criticisms
above are valid ones (having only just recently encountered them). Might
any on this list be able to provide me with an overview of these two
approaches, or perhaps cite a reference which may help compare and contrast
them, and help explain when to use one in favor of the other?
I very much appreciate your help and guidance. Thank you in advance,
John Norton
=========================================================================
Date: Wed, 20 Jul 2005 13:57:56 -0700
Reply-To: aMALLAN JEY <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: aMALLAN JEY <[log in to unmask]>
Subject: Regression out put in stata
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Hi,
In stata after i run the model how can i get clean lable output,
usually it won't give the variable label if i use
ss, c clean table.
Many thanks
Jey
_________________________________________________________________
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first two months FREE*.
=========================================================================
Date: Wed, 20 Jul 2005 14:43:31 -0700
Reply-To: Barry Grove <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Barry Grove <[log in to unmask]>
Subject: Urgently seeking academic (lectureship) /statistical consulting
position
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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To whom it may concern:
My name is Barry Grove, and I am currently looking for
employment opportunities in the UK (London or
Southeast) commencing the autumn of 2005 or beyond.
Please note that I am currently a
mathematics/statistics professor (and chair of the
mathematics department) at Rosemont College, a small
liberal arts college near Philadelphia (US), and an
adjunct professor of statistics at the Wharton School
of the University of Pennsylvania (recently ranked
fourth among American undergraduate programs by US
News and World Report).
I have recently moved to the UK, in Weybridge,
approximately 25 minutes from London, so I am
currently looking for an academic position, either a
full time or fractional appointment, or an entry level
position in statistical consulting.
Please note that I hold an undergraduate degree in
mathematical finance and an advanced degree in
mathematical economics (including courses in real
analysis, advanced statistics, econometrics, and
stochastic analysis), both of which were awarded by
the University of Pennsylvania (and The Wharton
School).
My teaching/instuctional experience at the university
level is quite extensive including instruction in the
following areas: differential equations, calculus (all
levels), real analysis, statistics and probability
(all levels), graphing theory, number theory, linear
algebra, advanced algebra, etc.
If anyone on the allstat list is interested in
speaking with me about any academic/statistical
consulting positions, which may become available for
the autumn of 2005, please email me at
[log in to unmask] or [log in to unmask], or
call me at 01932-243975.
Thank you for your time and consideration
Best regards,
Barry Grove
__________________________________________________
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=========================================================================
Date: Thu, 21 Jul 2005 08:46:55 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: L Fisher <[log in to unmask]>
Subject: GSK Permanent Vacancy - Reference Number 25879,
Project / Principal Statistician, Weybridge, South East England
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
Please find following details of a new, permanent statistical vacancy at
GSK based at the Weybridge site, South East England.
If you are interested in applying for this role, please follow the
directions below. Please do not respond directly to this email; and
please, no agency referrals.
Minimum Requirements:
BSc/MSc in Biostats, Statistics or related discipline.
7-10 Yrs experience as a statistician supporting clinical trials in Pharma
or Conumer Healthcare or related Industry.
Ability to work effectively in a team and strong written and oral
communication skills.
Proficiency in SAS essential
Details:
Account management responsibility for allocated Future Group.
Participate in project teams to provide statistical input to project
development plans and interaction with respect to project planning.
Represent BDM on project teams and coordinate BDM project related
activities
Make study design recommendations and prepare sample size calculations for
outline protocols.
Prepare statistical section for clinical study protocols.
Generate the randomization schedules for clinical trials in accordance
with protocols.
Provide input to the design of case report forms and review edit check
specifications.
Preparation of statistical analysis plans.
Interact with statistical programmers regarding programming requirements.
Perform statistical analysis.
Validation/QC of other statisticians analysis.
Prepare the statistical section of topline and final study reports.
Present and discuss results with internal/external bodies as required.
Review clinical protocols and final study reports.
You may apply for this position online ONLY via the following link:
http://careers.peopleclick.com/client_gsk/BU1/External_Pages_UK/newcandidate.asp?Source=ALL&JobID=73459
Thank you for taking the time and effort to apply for this role. Please
note that we will only contact you again if you are invited to interview.
All data processed in accordance with the provisions of the Data
Protection Act.
GSK is proud to promote an open culture, encouraging people to be
themselves and giving their ideas a chance to flourish. GSK is an equal
opportunity employer. To enable GSK to meet it's commitment as a two ticks
employer please let us know if you have a disability.
=========================================================================
Date: Thu, 21 Jul 2005 09:46:38 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nigel Marriott <[log in to unmask]>
Subject: SUMMARY : Cluster Analysis on Binary Data
MIME-Version: 1.0
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First of all, can I say thank you to all who responded. This seemed to be an issue of interest to many people so I would like to summarise the responses. I suspect that this is not the end of my query and I would be happy to receive further responses based on this summary.
There were 3 suggestions which came from more than one respondent.
1. Cluster Analysis using Jaccard Matching Coefficient
2. Latent Class Analysis
3. CHAID analysis
I have already tried the first one (Jaccard) and I am getting better outputs now though not yet good enough for drawing robust conclusions. I realise now I should have remembered that matching coefficients are an appropriate measure of similarity/dissimilarity for binary data from another piece of work I've done.
Latent Class Analysis is a technique I've recently learnt about from a course. Re-reading my notes, I see that I scribbled that it looked to be an interesting technique and could apply to my data. However, I do not have the software and am unlikely to purchase it in the near future.
CHAID (Chi-Squared Automatic Interaction Detector) analysis is a new one for me. A quick search on the web threw up some sites which gave an outline of the technique and I could see why people suggested this method. Again I do not have the software at present so cannot comment on its usefulness for my data set. I would appreciate it though if anybody could give me a link to a site that explains this technique from first principles.
Two other techniques suggested by single individuals were
4. Mutual Information and/or Entropy.
5. Multiple Correspondence Analysis MCA
Of these, MCA is a technique that I know from theory and have the software for. I intend to try this out and see if this helps me.
Finally, I was pointed to the SAS-L discussion board where a similar query to mine was raised and discussed. The link is below.
http://www.listserv.uga.edu/cgi-bin/wa?A1=ind0507a&L=sas-l&D=0#14
As you can see, I don't this discussion is over yet and I would appreciate any further comments that you may have.
Regards
Nigel Marriott
Senior R&D Statistician
Masterfoods Europe
-------------------------
The original query was
Like many statisticians, I am frequently called upon to rescue a project which
has been unable to answer its original question due to poor design. In this
case, I have data from 2000 consumers who have been asked to rate a chocolate
product. So as to increase the chances of drawing meaningful conclusions from
the project, I want to see if the consumers can be segmented (into about 3 to 6
clusters) based on their answers to some screening questions.
I have demographic data but the more interesting segmentation is based on prior
product preference data. All 200 consumers were asked 2 questions for each of
30 other well known chocolate products.
1. Is this product one of your favourites?
2. Have you eaten this product in the last 3 months?
The responses are binary with 1=Yes and 0=No. Therefore for Question 1 alone,
I would have a 2000x30 binary data matrix.
It seemed to me that Cluster analysis is the best technique but I am struggling
to get any meaningful clusters and I suspect the binary nature of the data is
to blame. For a start 1/3 of respondents only chose 1 product as a favourite
and only 5% chose more than 4 favourites out of 30 products in all. Therefore
there are a large number of zeros in the data.
My questions are
1. Is Cluster analysis appropriate for binary data? If not what other
techniques could I use?
2. Should I use a Similarity or Dissimilarity metric? I suspect dissimilarity
but every pair consumers will have at least 25 zeros in common based on the
observation about of the number of favourites chosen.
3. Which metric should I use given the answer to Q1 ? Initially I used
euclidean distance but given the binary nature I think city-block distance is
more appropriate.
4. Which linkage method is best for binary data? I have no preference at the
moment but I have not given it much thought.
Finally I have also explored using another scale 0, 1, 2 where
0 = product is not a favourite and has not been eaten in last 3 moneths.
1 = Either product is a favourite or has been eaten.
2 = Products is both a favourite and has been eaten in the last 3 months.
IS such a scale more likely to give better results?
-----------------------------------------
Email provided by http://www.ntlhome.com/
=========================================================================
Date: Thu, 21 Jul 2005 11:08:42 +0100
Reply-To: Catherine Deeprose <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Catherine Deeprose <[log in to unmask]>
Subject: JOB: Research Statistician
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Content-Transfer-Encoding: quoted-printable
=20
CDR Ltd. is seeking a research statistician to provide statistical and =
SAS
programming expertise for all aspects of the data management, analysis =
and
reporting processes.
=20
CDR Ltd. is a leading specialist service provider to the pharmaceutical
industry, focusing on implementing definitive cognitive assessment =
solutions
for use in clinical trials.
=20
Educated to MSc level in statistics, with a good working knowledge of =
SAS
and at least one year's experience of medical statistics in an industry
setting; you will be a dynamic individual and able to handle multiple
projects. The role will involve working with a wide range of clients =
within
the pharmaceutical industry and beyond to develop and agree statistical
analysis plans, implementing these in SAS, and conducting analyses and =
QC
checks.
=20
Starting Salary is =A320,200.
=20
Please apply in writing or via email enclosing a current CV to:
=20
Chris Edgar, Scientific Manager
Cognitive Drug Research Ltd
CDR House, Gatehampton Road
Goring-on-Thames RG8 0EN
Direct Tel: + 44 (0)1491 878710
Fax: + 44 (0)1491 878701
=20
Visit our website: www.cdr.org.uk
=20
=========================================================================
Date: Thu, 21 Jul 2005 03:31:27 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: Query: Exponential Model
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Dear All,
This seems a very stupid question but could anybody
explain to me in layman's terms why do we use an
exponential model when trying to fit a model to real
life data in business finance etc.
Indrajit
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=========================================================================
Date: Thu, 21 Jul 2005 12:24:37 +0100
Reply-To: leah li <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: leah li <[log in to unmask]>
Subject: Workshop on Mathematical Finance and Stochastic Analysis
(Imperial College, 22--24 August 2005)
Comments: cc: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
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>Workshop on Mathematical Finance and Stochastic Analysis
>
>Imperial College, 22--24 August 2005 Sponsored by the London Mathematical
>Society
>
>Full details and registration form are to be found at
>
>
>><http://www3.imperial.ac.uk/portal/page?_pageid=51,544885&_dad=portallive&_schema=PORTALLIVE>http://www3.imperial.ac.uk/portal/page?_pageid=51,544885&_dad=portallive&_schema=PORTALLIVE
>>
>
>
>Enquiries should be sent to H. Zheng, the workshop organizer.
>
>(Email: <mailto:[log in to unmask]>[log in to unmask] Telephone:
>+44 20 7594 8539. Fax: +44 20 7594 1191)
>
>
>Please download your registration form and return it to Ms. D. Abeysekera,
>the workshop coordinator.
>
>(Email: <mailto:[log in to unmask]>[log in to unmask]
>Telephone: +44 20 7594 8547. Fax: +44 20 7594 1191)
>
>
>The closing date for registration is 15th August.
=========================================================================
Date: Thu, 21 Jul 2005 06:21:54 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: Query: A small question on non normality
MIME-Version: 1.0
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Dear All,
Thanks for all those replied to my previous question.
Here is a small problem I am facing. I am working on a
huge data (consisting of almost 20000 observations and
780 variables). But for my purpose I am focusing on
only 7 variables and 4000 observaitions. But for all
these variables, when I am generating a scatter plot,
I get almost a bimodal distribution. Now my question
is whether I can apply a ttest for comparison of means
for any two variables since for large sample data I
can assume normality or should I go for non parametric
tests since the sample is giving bi modal data or
whether I should try to seperate out the observations
first to remove bimodality?
thanks in advance,
indrajit
____________________________________________________
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=========================================================================
Date: Thu, 21 Jul 2005 16:09:47 +0100
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Coding binary variables
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Hi all,
A small query....re. interactions concerning dummy variables and their
interpretation in a model.
I have 2 binary variables. One has categories "male" (1), "female" (0);
the other has categories ">35 years" (1) and "<35 years" (0).
Say, in a hypothetical example, we have the following data
Sex age
1 0
1 1
0 0
1 1
1 1
0 1
0 0
I form an interaction like so:
Sex*age
0
1
0
1
1
0
0
Now, here for the sex*age interaction a '1' is formed only when a person
is 'male' and >35 years....hence we only get a contribution to the
fitted value in a model from the interaction term for males over 35.
How can we evaluate the contribution to a model from the individuals who
are 'female and >35'; 'male and <35' and 'female and <35' when, as we
can see, their contribution to the model (for the interaction)using this
coding scheme is zero ?
As an alternative, would it be correct to generate a categorical
variable with the following codes:
<35 and male 1
>35 and male 2
<35 and female 3
>35 and female 4
And then for modelling create 3 dummy variables like so:
<35 and male 1 0 0
>35 and male 0 1 0
<35 and female 0 0 1
>35 and female 0 0 0
Many thanks,
Kim.=20
=========================================================================
Date: Thu, 21 Jul 2005 17:12:16 +0100
Reply-To: Duncan Lawson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Duncan Lawson <[log in to unmask]>
Subject: JOB: Stats lecturer at Coventry University
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Coventry University has a vacancy for a Stats lecturer to work in the =
Centre
for Excellence in Teaching and Learning in University-wide support for =
maths
and stats - details of the job below.
=20
Anyone interested in this position should contact one of the following =
for
an informal discussion:
=20
Prof Duncan Lawson 024 7688 8975 [log in to unmask]
<BLOCKED::BLOCKED::mailto:[log in to unmask]>=20
Dr Jim Tabor 024 7688 8568 [log in to unmask]
<BLOCKED::BLOCKED::mailto:[log in to unmask]>=20
Sidney Tyrrell 024 7688 8575 [log in to unmask]
<BLOCKED::BLOCKED::mailto:[log in to unmask]>=20
=20
Coventry University =96 L/SL in Statistics
=20
=20
JOB DESCRIPTION & PERSON SPECIFICATION
=20
=20
1. JOB INFORMATION
=20
=20
Post Title: Lecturer / Senior Lecturer in Statistics=20
Grade: L9 =96 SL15 =20
Salary Range: =A3 23,640 =96 29,478
Mode: Full time, fixed term to 31 July 2010 (a =
fractional
appointment would be considered if requested).
Ref No: A06305
=20
2. JOB DESCRIPTION =20
=20
.1 Purpose
To participate in the teaching activities of the CETL, particularly the
statistics advisory service, and providing support to dyslexic and
dyscalculic students.=20
=20
.2 Main Duties and Responsibilities
=20
.1 To contribute to the general teaching activities of the CETL.
=20
.2 To play a major role in the delivery of the statistics advisory
service for final year project and postgraduate students of =
non-mathematical
disciplines.
=20
.3 To support the mathematical learning of dyslexic and dyscalculic
students.
=20
.4 To keep abreast of developments in the teaching and learning of
mathematics and statistics.
=20
.5 To engage in pedagogic research and other scholarly activities,
relating to innovative teaching and learning methods, leading to outputs
which are amenable to peer assessment.
=20
.6 To participate in disseminating CETL findings through =
participation
in conferences and refereed publication.
=20
.7 To bid for education development funding.
=20
.8 To supervise PhD students if appropriate funding is secured.
=20
.9 To contribute to the wider activities of the CETL as required by =
the
CETL Director.
=20
AND such other duties as are within the scope of the spirit of the job
purpose, the title of the post and its grading.
=20
.3 Supervision Received
Responsible to Prof Duncan Lawson, Coventry Director of the CETL.=20
=20
.4 Supervision Given
None
=20
.5 Contacts
CETL staff at both institutions
Academic, administrative and technical staff at Coventry University
Staff at the Higher Education Academy MSOR Network and other Subject
Centres.=20
=20
=20
=20
3. PERSON SPECIFICATION
=20
ATTRIBUTES
=20
ESSENTIAL
ADVANTAGEOUS
Education/
Qualifications
Degree in mathematics, statistics or mathematical sciences
Higher degree in statistics
Experience
(Paid and Unpaid)
Working knowledge of experimental design and multivariate analysis
Teaching mathematics and/or statistics to undergraduates on =
non-mathematical
courses
=20
Using innovative teaching methods and/or new technology to support =
learning.
Knowledge of a range of pre-university mathematics qualifications
Research/Publications
Special Interests
An interest in the use of new technology in teaching and learning
mathematics and statistics
=20
Peer reviewed publications
Experience of bidding for external funding
Job-related skills/
Aptitudes
Organisational skills
Time Management
Ability to work on own initiative
Excellent IT skills
=20
Experience of working with dyslexic and/or dyscalculic students
Interpersonal Skills
=20
Ability to work in a team
A sympathetic and helpful approach to students
Excellent communication skills
Flexibility
=20
=20
Other Requirements
High degree of commitment and self-motivation
=20
=20
=20
For discussion about this post please contact Prof Duncan Lawson (phone =
024
7688 8975 or email <mailto:[log in to unmask]>
[log in to unmask]), Dr J Tabor (024 7688 8568,
<mailto:[log in to unmask]> [log in to unmask]) or Sidney =
Tyrrell
(024 7688 8575, <mailto:[log in to unmask]> =
[log in to unmask])
=========================================================================
Date: Thu, 21 Jul 2005 17:52:34 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Master in Geographical Analysis and Spatial Statistics,
Universitat de Girona
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Master in Geographical Analysis and Spatial Statistics
Spatial statistics, research line of relatively new development, is based=20
on statistical and mathematical models, uses maps and geographical=20
information system and it is of great interest in disciplines such as=20
statistics, epidemiology, environmental sciences, spatial economics or=20
regional science, geography, history, agronomy, archaeology, among others.
The Geographical Analysis and Spatial Statistics master program, that we=20
introduce here, tries to meet the formative needs of such collectives. The=
=20
modular structure of the master =92s programme makes it possible to follow=
=20
three recommended itineraries that adapt to the specialisations and needs=20
of three main groups of students: Spatial Epidemiology, Spatial=20
Econometrics and Geostatistics.
Methodology
The master=92s programme combines face-to-face learning and distance=
learning=20
through the Internet. The actual classes will be distributed over two or=20
three weeks in every trimester.
The Master Dissertation is made in organisations and collaborating=20
institutions, linked to the research projects developed by the participants
Degree and academic Structure
Total number of ECTS credits (European Credits Transfer System):60
Number of corresponding credits to:
FA (Academic Training):36.
IR (Initiation in Research) or EP (Professional specialisation):12
HA (Research and communication skills):12.
In order to obtain the title of Master it is necessary to make a Master=20
Dissertation of 15 ECTS.
It is possible for the student to obtain partial titles:
=96 Certificate of specialisation: depending on the subjects chosen in the=
=20
programme
=96 Post degree Diploma: an itinerary without master dissertation
Directors: Dr. Marc Saez (<mailto:[log in to unmask]>[log in to unmask]),=20
Dr.Carme Saurina (<mailto:[log in to unmask]>[log in to unmask])
Research Group in Statistics, Applied Economics and Health (GRECS)
<http://www.udg.edu/fcee/economia/english/grecs.htm>http://www.udg.edu/fcee/=
economia/english/grecs.htm.
Universitat de Girona
Programme and teaching staff
BLOCK 1.-FUNDAMENTALS
Module 1.-
1.1.-Statistical inference 4,5 ECTS
1.2.-Multivariate statistics 4,5 ECTS
1.3.-Linear models 4,5 ECTS
1.4.-Bayesian statistics 4,5 ECTS
Module 2.-Epidemiology 4,5 ECTS
Module 3.-Environmental sciences 4,5 ECTS
Module 4.-Economics 4,5 ECTS
Teaching staff
Dr.Josep Anguera (Universitat de Girona)
Dr.Maria Ant=F2nia Barcel=F3 (GRECS,Universitat de Girona)
Dr.Nicola G.Best (Imperial College)
Dr.Carme Borrell (Public Health Agency of Barcelona)
Dr.M.Teresa Brugal (Public Health Agency of Barcelona)
Dr.Xavier Casamitjana (University of Girona)
Dr.Miquel Clavero (University of Girona)
Dr.Germ=E0 Coenders (GRECS,University of Girona)
Dr.Emili Garcia-Berhou (University of Girona)
Dr.M.Isabel Pasar=EDn (Public Health Agency of Barcelona)
Dr.Marc Saez (GRECS,University of Girona)
BLOCK 2.-SPATIAL STATISTICS
Module 5.-Geostatistics 4,5 ECTS
Module 6.-Spatial epidemiology 4,5 ECTS
Module 7.-Spatial econometrics 4,5 ECTS
Teaching staff
Dr.Rafael Boix (Autonomous University of Barcelona)
Dr.Manuel Febrero (University of Santiago de Compostela)
Dr.Ruben Fern=E1ndez Casal (University of Santiago de Compostela)
Dr.Wenceslao Gonz=E1lez-Manteiga (University of Santiago de Compostela)
Ms.Aitana Lertxundi-Manterola (GRECS,University of Girona)
Dr.Jorge Mateu (University Jaume I,Castell=F3)
Dr.Rosina Moreno (University of Barcelona)
Dr.Marc Saez (GRECS,University of Girona)
Dr.Carme Saurina (GRECS,University of Girona)
BLOCK 3.-INSTRUMENTAL
Module 8.-Software 6 ECTS
Module 9.-Geographical Information Systems (GIS)12 ECTS
9.1.-Introduction to GIS:Fundamentals,resources
and applications (GIS and health)4 ECTS
9.2.-Geographical data base management,
cartographic representation and information
dissemination tools 4 ECTS
9.3.-Geostatistics and spatial analysis 4 ECTS
Teaching staff
Dr.Nicola G.Best (Imperial College)
Ms.Irene Cuento (SIGTE,University of Girona)
Ms.Aitana Lertxundi-Manterola (GRECS,University of Girona)
Mr.Ferran Ordu=F1a (SIGTE,University of Girona)
Dr.Marc Saez (GRECS,University of Girona)
The modular structure of the master =92s programme makes it possible to=20
follow three
recommended itineraries that adapt to the specialisations and needs of=20
three main
groups of students.
TRACK 1.-Environmental epidemiology
Coordination:
Dr.Maria Ant=F2nia Barcel=F3 (GRECS,University of Girona)
Dr.Carme Borrell (Public Health Agency of Barcelona)
TRACK 2.-Spatial econometrics
Coordination:
Dr.Germ=E0 Coenders (GRECS,University of Girona)
Dr.Rafael Boix (Autonomous University of Barcelona)
TRACK 3.-Geostatistics
Coordination:Dr.
Vera Pawlowsky Glahn (University of Girona)
Dr.Wenceslao Gonz=E1lez-Manteiga (University of Santiago de Compostela)
Duration and calendar
Face-to-Face Classes: November 2005 -June 2006.
Master dissertation: July 2006 -November 2006.
Face-to-Face Classes
November-December 2005.
Tracks 1,2 and 3:115 face-to-face class hours
1.1.-Statistical inference -45P (7-11 November)
9.1.-Introduction to GIS: Fundamentals,resources and applications (GIS and=
=20
health)=96 20P ((14-16 November)
9.2.-Geographical data base management, cartographic representation and=20
information dissemination tools =9620P (16-18 November)
1.3.-Linear Models =96 30P ((19-22 December)
January-March 2006.
Itinerary 1:130 face-to-face class hours
2.-Epidemiology =96 30P ((7-10 February)
3.-Environmental sciences =96 30P ((23-25 March)
1.4.-Bayesian statistics =96 30P ((13-15 February)
8.-Software =96 40P ((16-17 February and 20-22 March)
Itinerary 2:130 face-to-face class hours
1.2.-Multivariate statistics =96 30P ((7-10 February)
4.-Economics*=96 30P ((23-25 March and 27-29 March)*
1.4.-Bayesian statistics =96 30P ((13-15 February)
8.-Software =96 40P ((16-17 February and 20-22 March)
Itinerary 3:130 face-to-face class hours
1.2.-Multivariate statistics =96 30P ((7-10 February)
3.-Environmental sciences =96 30P ((23-25 March)
1.4.-Bayesian statistics =96 30P ((13-15 February)
8.-Software =96 40P ((16-17 February and 20-22 March)
April-June 2006.
Itinerary 1:50 face-to-face class hours
6.-Spatial epidemiology =96 30P ((22-26 May)
9.3.-Spatial analysis and geostatistics =96 20P ((17-19 May)
Itinerary 2:50 face-to-face class hours
7.-Spatial econometrics =96 30P ((22-26 May)
9.3.-Spatial analysis and geostatistics =96 20P ((17-19 May)
Itinerary 3:50 face-to-face class hours
5.-Geostatistics =96 30P ((22-26 May)
9.3.-Spatial analysis and geostatistics =96 20P ((17-19 May)
Maximum hourly structure:8h-13h30 (theoretical classes)and 15h30-20h=
(practical
classes).
*Economy will be given a schedule when the course begins
Master dissertation
July-November 2006
The programme will be held at: University of Girona
Financing
We have set up special payment conditions with several banks meaning that=20
you can
pay in instalments.For more information,please consult out our website.
Information and Registration
Dr. Marc Saez (<mailto:[log in to unmask]>[log in to unmask]), Dr.Carme Saurina=
=20
(<mailto:[log in to unmask]>[log in to unmask])
Deadline for receiving applications: 20 days before the start of each=20
programme. Please fill in the application form and hand it in or send it by=
=20
post, together with the documentation indicated to:
GIGS -Escola de Postgrau de la UdG
Campus de Montilivi -M=F2dul M20
17071 Girona
Documentation: photocopy of ID card/passport,attested photocopy of the=20
university qualification (or equivalent document),curriculum vitae (maximum=
=20
2 pages)and a passport size photograph.
Fast reply
Within 7 working days of receiving your complete application (application=20
form duly filled in plus the documentation)we will confirm by e-mail your=20
acceptance or not and/ or any other information concerning your application.
On-line application
You may also present your application on-line and send the documentation by=
=20
post, which we recommend for candidates from outside Girona. We will=20
immediately provide you with your personal code, necessary for any later=20
consultation.
Registration
Once you have been accepted, your access to the programme will be subject=20
to the payment of the registration fee corresponding to the 04-05 academic=
=20
year. By paying 25%of the registration fee, you will be on the programme=20
pre-registration, with the right to reserve the place until 15 days before=
=20
its start, which is the deadline for paying the remaining 75%of the=20
registration fee.
Services048
The UdG offers diverse services to its students: students card, e-mail=20
address, access to the UdG computer rooms and libraries, access to the=20
educational activities of the Modern Languages Services, access to the=20
various activities organised by the UdG Sports Service, labour exchange for=
=20
students and former students and practical work experience in companies=20
and/or institutions.
=========================================================================
Date: Thu, 21 Jul 2005 17:53:39 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Post-doc Research Fellow in Computational Biology,
University of Southern California
Mime-Version: 1.0
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>---------------------------------------------------------------
>
>The Computational Laboratory of Integrative Genomics at University of
>Southern California seeks a PhD in Statistics/Biostatistics or related
>field for a two-year postdoctoral position to develop statistical methods
>for the integrative analysis of large-scale microarray repositories.
>
>Candidate Qualification:
>
>- Strong statistical computation and programming skills (experienced in
>R, C or C++ or Java)
>- Solid foundations in statistical theories and their applications
>- An interest or experience in biomedical applications of statistics,
>preferably with experience in microarray analysis
>
>Please send CV and 3 reference letters to Prof. Jasmine Zhou
>[log in to unmask]
>
>More information can be found at:
>USC Computational Biology division http://www.cmb.usc.edu
>Computational Laboratory of Integrative genomics http://zhoulab.usc.edu
>
>For examples of our previous projects please refer to the following
>publications:
>- Zhou XJ et al. Functional annotation and network reconstruction through
>cross-platform integration of microarray data. Nature Biotechnology 2005
>Feb;23(2):238-43.
>- Hu et al Mining coherent dense subgraphs across massive biological
>networks for functional discovery. Bioinformatics 2005, 21: 221-231
>- Zhou X et al. Transitive Functional Annotation By Shortest Path Analysis
>of Gene Expression Data. Proc Natl Acad Sci USA. 99:12783-12788
>
>Xianghong Jasmine Zhou, Assistant Professor
>Molecular and Computational Biology
>University of Southern California
>Los Angeles, CA 90089-1340
>Phone:(213) 740 7055
>Fax:(213) 740 2437
>http://zhoulab.usc.edu
=========================================================================
Date: Thu, 21 Jul 2005 17:55:45 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Decision Science Analytics, Cardiff, South West Wales
Mime-Version: 1.0
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Leading Edge Decision Science Analytics
Salary: To 35k
Location: Cardiff, South West Wales
Great Ideas and our ability to act on them quickly have seen HBOS Card
Services become a powerful force in the credit card industry. We know the
value of clear thought and we're looking for talented analysts to play a
pivotal role shaping business models and scorecards in our Decision Science
Team.
We are looking for people with a background in Statistics or Operational
Research and experience in at lease one of the following areas:
Development of statistical scorecards (for Risk or Marketing)
Financial (incl. Actuarial) Modelling
Economic Modelling
Pharmaceutical / Clinical Trials
You'll have experience of one or more of the following (and others):
SAS
SPSS
SQL
At HBOS Cards, our success is based on attracting and developing
exceptional people: creative problem solvers, incisive thinkers and
inspiring communicators.
In return, we can offer you unrivalled opportunities to shape and influence
our business and develop a rewarding career.
If you are genuinely interested and have a strong track record of academic
achievement, please send your CV to Mark Walters at
<mailto:[log in to unmask]>[log in to unmask]
=========================================================================
Date: Thu, 21 Jul 2005 19:23:20 +0100
Reply-To: "Martin P. Holt" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Martin P. Holt" <[log in to unmask]>
Subject: SUMMARY: Validity of online tools
MIME-Version: 1.0
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Hardly a summary: I had two responses. But in case you are interested:
I had posted:
"I was impressed with Andras Vag's comprehensive reply just now, but
wondered: how do you know that the online calculator is giving you the right
answer ? In the pharmaceutical sector, "everything" has to be validated,
including software. If one uses the online services, is it at one's own
risk? ~
is it advisable to first validate it yourself (for the use one is making
of it ?). Has anyone had a bad experience with one of these web-based tools,
which, if valid, would be very useful ?"
Interestingly, noone replied quoting a bad experience.
Jim Groenveld replied with:
"Hi Alan and Martin,
See also the paragraph "Stat Calc Web" at
http://home.hccnet.nl/jim.groeneveld/links/Statist.shtml
When I use these calculators (which may differ quite a lot in appearance
(GUI), support, statistics, etc.) I always use more of them for the same
calculations. I do this not only to check them, but also to check myself,
whether I selected the right calculator / test. Results, especially sample
sizes and the like may differ a little bit. Sometimes, if possible, I also
check with PASS, SAS, Minitab and S-plus, and an internal statistics package
within Medtronic: MedStat. The advantage of some of the on-line and off-line
calculators are that you can quickly perform all kinds of scenarios."
Tobias Verbeke replied with:
"One general comment. If one uses open source software, one can be
absolutely
sure that the right thing is done, because the source code of every single
data-analytic procedure can be read and verified. Even for the
pharmaceutical
sector this cannot be said, at least about SAS which is heavily used in
clinical
research.
One of the web-based solutions cited by a colleague (Rweb), uses the
open source
environment for data analysis R (www.r-project.org) as a backend. The
highly competent
development core team and large user base of knowledgeable statistical
programmers makes R a *very* reliable tool, which gives access to the
latest developments in statistical analysis. It has indeed more or less
become the lingua franca of theoretical statisticians.
As you can understand, I rely on R on a daily basis. The government
agency I work
for requires the level of transparency and quality control it offers. R
is, by the way,
not only free as in free beer, but also as in free speech.. (www.fsf.org)."
Best Regards,
Martin
=========================================================================
Date: Thu, 21 Jul 2005 14:13:23 -0700
Reply-To: aMALLAN JEY <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: aMALLAN JEY <[log in to unmask]>
Subject: Interpretation of log transform model
Mime-Version: 1.0
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Hi,
I have problem with interpreted log transform dependent variable
my model
log(ct_delay)=3Db0+b1x1+b2x2+b3x3
I took the exponential of the final model coefficiant and the confidances=
=20
interval.
Est 95min 95max p
didagegrp=3D2 0.8 0.67 0.95 0.0092
didagegrp=3D3 0.74 0.6 0.91 0.0045
didagegrp=3D4 0.84 0.5 1.41 0.5079
caload2_21=3D1 0.78 0.65 0.93 0.0061
ct_y3=3D1 1.22 1 1.47 0.0445
ct_y3=3D2 1.28 1.06 1.53 0.0085
could you pls anyone guide me how can i
interpreted this model.
Thanks
Jey
_________________________________________________________________
Take advantage of powerful junk e-mail filters built on patented Microsof=
t=AE=20
SmartScreen Technology.=20
http://join.msn.com/?pgmarket=3Den-ca&page=3Dbyoa/prem&xAPID=3D1994&DI=3D=
1034&SU=3Dhttp://hotmail.com/enca&HL=3DMarket_MSNIS_Taglines=20
Start enjoying all the benefits of MSN=AE Premium right now and get the=
=20
first two months FREE*.
=========================================================================
Date: Fri, 22 Jul 2005 09:24:31 +1200
Reply-To: Vicki Livingstone <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vicki Livingstone <[log in to unmask]>
Subject: query-evaluating the accuracy of diagnostic tests for clustered
data
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Dear Allstat,
I am looking at the diagnostic value of certain physiotherapy tests for
detecting a particular condition. I would like to calculate the
sensitivity, specificity and positive and negative likelihood ratios
(along with their 95% confidence intervals) for each test but I am
dealing with clustered data. Each person contributes two observations -
one from their symptomatic hip and the other from their asymptomatic
hip.
(1) Does anyone know of a straightforward way of incorporating the
clustering into the calculation of the variances?
(2) Is it correct to say that if I ignore the clustering and just
calculate a standard 95% confidence interval this would be conservative
since the within-cluster correlation coefficient should be negative? Is
this recommended?
I'll summarise to the list, if appropriate.
Thank you,
Vicki
Dr Vicki Livingstone,
Lecturer,
Dept. of Preventive and Social Medicine,
University of Otago Medical School,
P O Box 913,
Dunedin,
New Zealand.
Phone: + 64 3 479-5138
Fax: + 64 3 479-7298
email: [log in to unmask]
=========================================================================
Date: Fri, 22 Jul 2005 09:22:21 +0100
Reply-To: John Duffy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Duffy <[log in to unmask]>
Subject: Job vacancy: Scottish Funding Councils
Mime-Version: 1.0
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We will shortly be advertising a vacancy for a statistics officer - =
details below. In the meantime anyone interested is welcome to contact me =
to discuss the position either by e-mail or phone (01313136658).
=20
More details about the Councils can be found on http://www.sfc.ac.uk
=20
=20
POST: Statistics Officer Location: Edinburgh Salary scale: =
=A321854 - =A329875 PURPOSE: To provide statistical advice =
to the Council for the purpose of developing policies and strategies and =
in response to external enquiries. KEY RESPONSIBILITIES 1. =
Together with senior colleagues, identify areas where there is scope for =
adding value to routinely collected data by statistical analysis.2. =
Take responsibility for defined projects.3. Maintenance and developmen=
t of contacts with HEIs, The Higher Education Statistics Agency, software =
companies, Scottish Executive and other government bodies 4. =
Management of statistical analysis projects for internal and external =
stakeholders.5. Respond to internal and external requests for =
statistical information. SKILLS, QUALIFICATIONS AND EXPERIENCE Essential =
1. Substantial programming knowledge of SAS and at least one other =
statistical package.2. Experience of applied statistical modelling.3. =
Good written and oral communications skills.4. Good organisationa=
l and planning skills.5. Degree with Statistics accounting for at =
least 25% of the course and have worked in areas using numerate and/or =
computing skills.ORPractical experience at Assistant Statistics Officer =
level (equivalent to junior management/ technical officer/ executive =
officer level) involved with Statistics Branch work. Desirable 1. =
Staff management experience.2. Experience of audio-visual presentation=
s to large groups.3. Experience of timely provision of information in =
response to requests for statistical information.4. Knowledge of =
WORD, EXCEL and ACCESS packages Status of Job ProfileThis profile has =
been created to describe, in outline, the nature of appointments at this =
level. It is an indicative document and the exact nature of these duties =
will vary with time and from post to post. Post holders will be expected =
to carry out any work that is commensurate with their grade or that may =
reasonably be required of them.
E-Mail Confidentiality Notice
-----------------------------
This e-mail (including any attachments to it) is confidential and
protected by copyright. If you receive this e-mail in error, notify us
immediately by reply e-mail, delete it, and do not make use of, disclose
or copy it. No liability is accepted for viruses and it is your
responsibility to scan any attachments. The opinions expressed within
this e-mail are the opinions of the sender and do not necessarily
constitute those of the Scottish Funding Councils for Further and Higher
Education, the Scottish Higher Education Funding Council or the Scottish
Further Education Funding Council.
Tha am post-dealain seo (a' gabhail a-staigh faidhle sam bith na lùib)
dìomhair agus air a dhìon le còraichean foillseachaidh. Mur robh còir
agaibh am post-dealain seo fhaighinn, cuiribh fios thugainn gun dàil le
freagairt post-dealain, dubhaibh às e, agus na dèanaibh feum,
foillseachadh no lethbhreac dheth. Chan eil sinne cunntachail airson
bhìorasan agus tha e an urra ribhse faidhleachan a sgrùdadh. 'S e na
beachdan taobh a-staigh a' phost-dealain seo beachdan an neach a chuir e
agus dh'fhaodadh nach buin iad do bheachdan Comhairlean Maoineachaidh
Foghlam Adhartach agus Àrd-ìre na h-Alba, Comhairle Maoineachaidh
Foghlam Àrd-ìre na h-Alba no Comhairle Maoineachaidh Foghlam Adhartach
na h-Alba.
=========================================================================
Date: Fri, 22 Jul 2005 09:41:04 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: Contract role for a Clinical SAS Programmer - South East UK
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
A world leading research-based pharmaceutical company with powerful=20
resources and a platform for strong growth is seeking Clinical SAS=20
Programmers. =20
Information on Client:
Headquartered in the UK with US bases, our client is one of the industry=20
leaders, with an estimated 7% of the world's pharmaceutical market. They=20
are at the forefront of 4 major therapeutic areas - anti-infectives,=20
central nervous system (CNS), respiratory and gastro-intestinal/metabolic.=20
A key operator in vaccines, they also have a growing portfolio of oncology=20
products.
Benefits:
Our Client provides a comprehensive remuneration and benefits package.=20
Viewed together, these benefits present significant financial, personal=20
and professional growth opportunities. Further information is available=20
on application.
Job Role:
You will
=B7 Provide statistical programming expertise in SAS in the production=20
of analyses, tabulations, graphics, and listings from clinical trial data.=20
=B7 Efficiently prepare, document and test required programs to=20
produce data displays from clinical trials for inclusion in integrated=20
clinical statistical reports, etc.=20
=B7 Ensure analysis data and programming code meet regulatory and=20
company standards and are consistently structured to permit efficient=20
programming and reporting.=20
=B7 Perform QC procedures on others' work
This is a 6-12 month contract position.
Minimum Requirements:
3+ years' experience within the pharmaceutical industry
Unique Benefits:
An excellent opportunity to join a dynamic environment at one of the=20
world's top pharmaceutical companies and provide technical expertise to an=20
elite team. =20
Keywords:
Clinical SAS Programmer, Clinical, Clinical Programmer, Clinical=20
Programming, SAS, Statistics, Statistical Analysis
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
www.fforde-management.com
Email your CV to: [log in to unmask]
Speak to: Natalie on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
=========================================================================
Date: Fri, 22 Jul 2005 09:42:21 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Contract Phase 1 Clinical Statistician
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Summary of Role: A world leading research-based pharmaceutical company=20
with powerful resources and a platform for strong growth is urgently=20
seeking a statistician with some experience of a clinical pharmacology=20
environment.
Information on Client: Headquartered in the UK with US bases, our client=20
is one of the industry leaders, with an estimated 7% of the world's=20
pharmaceutical market. They are at the forefront of 4 major therapeutic=20
areas - anti-infectives, central nervous system (CNS), respiratory and=20
gastro-intestinal/metabolic. A key operator in vaccines, they also have a=20
growing portfolio of oncology products.
Benefits: Our Client provides a comprehensive remuneration and benefits=20
package, work-life balance initiatives and social events. Viewed together,=20
these benefits present significant financial, personal and professional=20
growth opportunities. Further information is available on application.
Job Role: You will be primarily responsible for=20
=B7 Working in the Clinical Pharmacology Statistics and Programming=20
department in Respiratory and Inflammation
=B7 Contributing to and, where appropriate, taking responsibility for=20
concept and full protocols, analysis plans and study reports
=B7 Primary responsibility and/or accountability for the statistical=20
analyses, tabulations, graphics and listings of clinical pharmacology=20
trial data
=B7 Performing QC procedures on work performed by others
=B7 Performing, presenting and interpreting data=20
manipulations/processing and statistical analyses
=B7 Deriving statistical conclusions and making recommendations based=20
on experimental results
=B7 Liaising with customers to understand and help define requirements
Minimum Requirements:
=B7 Experience of working in Clinical Pharmacology/Phase 1 area=20
preferred
=B7 This is a busy department and candidates should expect to work on=20
multiple tasks=20
=B7 Flexible to adapt to changing priorities
=B7 Knowledge of early phase respiratory area an advantage
Unique Benefits: This is an excellent window for a skilled statistician=20
with experience of clinical trials and pharmacology data to join one of=20
the world's top research-based pharmaceuticals. =20
Keywords: Statistician, Statistics, Mathematics, Biostatistics
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
www.fforde-management.com
Email your CV to: [log in to unmask]
Speak to: Natalie on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
=========================================================================
Date: Fri, 22 Jul 2005 09:43:47 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Permanent Clinical Statisticians - UK Wide
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
A world-leading research-based pharmaceutical company with powerful=20
resources and a platform for strong growth is seeking a Clinical=20
Statistician to join an elite team. =20
Information on Client:
Headquartered in the UK and with operations based in the US, our client is=20
one of the industry leaders, with an estimated seven per cent of the=20
world's pharmaceutical market. They also have leadership in four major=20
therapeutic areas - anti-infectives, central nervous system (CNS),=20
respiratory and gastro-intestinal/metabolic. In addition, it is a leader=20
in the important area of vaccines and has a growing portfolio of oncology=20
products.
Benefits:
Our Client provides staff members with a comprehensive remuneration and=20
benefits package. Viewed together, these benefits present significant=20
financial, personal and professional growth opportunities. Further=20
information is available on application:
Job role:
You will
=B7 Contribute to the design and analysis of clinical trials
=B7 Research statistical methodology=20
=B7 Advise international study teams.=20
=B7 Contribute to reporting aspects of studies as the basis of=20
regulatory submissions to major agencies worldwide
=B7 Work closely with clinical research scientists, medical writers,=20
and data managers
Minimum Requirements
2+ years' experience within the pharmaceutical environment
1+ year's experience of clinical trials
Excellent team working and planning skills
A good understanding of the drug development process
Applications from candidates in Health Care or Medical Statistics are=20
acceptable
Unique benefits of the role:
This is a rare opportunity to join a major pharmaceutical company on a=20
structured career path with excellent training and hands-on mentoring from=20
the best in the business
Key words:=20
Clinical Statistics, Clinical Trials, Clinical Statistician, Medical=20
Statistics, Healthcare Statistics, Biostatistician, Biostatistics=20
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
<http://www.fforde-management.com>
Email your CV to: [log in to unmask]
Speak to: Natalie on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
=========================================================================
Date: Fri, 22 Jul 2005 09:48:13 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job : Permanent SAS Programmers - South East UK
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
A good Honours degree and/or MSc in Statistics, Computer Science, or a=20
related scientific or numerate subject
=B7 Ideally, 3 years'+ experience within the pharmaceutical industry.=20
=B7 Excellent written and verbal communication skills
=B7 Meticulous=20
=B7 Proven problem-solving skills
=B7 Ambitious and self motivated
=B7 The ability to work effectively in a highly motivated team.=20
=B7 Experience of SAS=AE is essential, however, advanced SAS=AE training=20
will be provided if necessary
Unique benefits of the role:
This is a rare opportunity to join a major pharmaceutical company offering=20
a structured career path with excellent training and hands-on mentoring=20
from the best in the business.=20
Key words: SAS, SAS Programming, Clinical, SAS Programmer=20
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
http://www.fforde-management.com
Email your CV to: [log in to unmask]
Call Natalie on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
If you would like to talk confidentially about developing your career call=20
Natalie on 01273 722366
=========================================================================
Date: Fri, 22 Jul 2005 09:50:14 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Statistical Data Analyst - Hants
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Summary of Role: A leading supplier of statistical data analysis software=20
and services is seeking a statistician, biostatistician or mathematician=20
to consult on data projects. =20
Information on Client:
The company provides enterprises with scalable data and text analysis=20
solutions that drive better decisions faster by revealing patterns, trends=20
and relationships. Our client is a leading supplier of software and=20
services for statistical data analysis, data mining, and knowledge access,=20
enabling clients to gain intelligence from text and numeric data.
Benefits:
Our Client provides a comprehensive remuneration and benefits package.=20
Viewed together, these benefits present significant financial, personal=20
and professional growth opportunities. Further information is available=20
on application.
Job Role:
You will be primarily responsible for
=B7 Executing projects at the customer site as a Statistical Consultant
=B7 Using statistical software for data analysis and statistical=20
modeling, such as S-PLUS or R.
=B7 Analysis, design and implementation/programming of Business=20
Intelligence projects=20
=B7 Planning and executing software training to our customers=20
=B7 Supporting our technical hotline (email/phone)
=B7 Working in collaboration with other team members and experts from=20
varied academic backgrounds as well as customers
Minimum Requirements:
=B7 Master or equivalent in applied (bio-) statistics or mathematics=20
or of a related quantitative field is required=20
=B7 Knowledge of commercial statistical packages (S-PLUS, SPSS, SAS,=20
etc) is a must, as is good commercial awareness, and experience in=20
statistical programming and modelling=20
=B7 Competency in databases ( SQL, Oracle, DBII), programming=20
languages (C, S, Java), operating systems (MS DOS, Windows (2000, NT),=20
UNIX, Linux) is an asset
=B7 Strong experience with a variety of statistical estimation and=20
forecasting methods=20
=B7 2-3 years' experience in statistical consulting=20
=B7 Excellent communication and interpersonal skills=20
=B7 Ability to work in a multi-disciplinary team=20
=B7 Good project management skills=20
=B7 Experience in working in a software team environment and with=20
remote development teams is an asset=20
=B7 Understanding of Life Science business processes is an asset=20
=B7 Self-motivated, pragmatic and solution-oriented=20
=B7 High engagement and used to taking on responsibility=20
=B7 Ability to multitask and advance multiple projects/tasks without=20
losing focus
Unique Benefits: This is an excellent opportunity for a mathematician,=20
statistician or biostatistician with good communication skills to lead=20
important projects in the supply of statistical data analysis software and=20
services.
Keywords: Statistical Consultant, Statistics, Consultant, Consultancy,=20
SAS, SPSS, Mathematics, Biostatistics
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
<http://www.fforde-management.com>
Email your CV to: [log in to unmask]
Speak to: Natalie on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
=========================================================================
Date: Fri, 22 Jul 2005 09:52:23 +0100
Reply-To: Lawrence Hay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lawrence Hay <[log in to unmask]>
Subject: New BSc / MSc or PhD Graduates to train up into Clinical Trials
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Summary of Role: This is a great window for a recently-qualified, dynamic=20
young statistician to join an elite team within a world-leading=20
pharmaceutical company, to start as soon as possible.
Information on Client: Over the last 100 years this company has=20
established itself as a global leader in the research-based healthcare=20
industry. It ranks among the world's top 10 pharmaceutical companies,=20
employing around 65,000 people worldwide, competing on the global market=20
and anticipating international market needs. While it plays a leading=20
role in therapeutic areas such as cancer, virology and transplantation,=20
its overall mission is to reduce suffering and improve health and the=20
quality of life of people worldwide.
Benefits: Our Client provides a comprehensive remuneration and benefits=20
package, work-life balance initiatives and social events. Viewed together,=20
these benefits present significant financial, personal and professional=20
growth opportunities. Further information is available on application.
Job Role: =20
You will be primarily responsible for=20
Providing high quality statistical support to clinical projects across a=20
variety of therapeutic areas including virology and inflammation, under=20
the direction of more senior statisticians
Ensuring that activities performed within the project are executed in a=20
timely manner and to the required high statistical and reporting=20
standards, adhering to statistical standards and SOPs
Developing and maintain proficiency with respect to in-house computer=20
facilities and associated software (SAS). Assist in programming=20
statistical outputs for the project and their validation
Interacting with other departments and with external alliance partners to=20
ensure good coordination and communication
Keeping and maintaining up-to-date project documentation including that of=20
presentation, analysis and graphics software
Minimum Requirements:
=B7 MSc or equivalent in Statistics
=B7 1+ year's relevant statistical experience ideally within a=20
clinical environment
=B7 Ability to process information, analyse data and reach conclusions=20
based on sound reasoning
=B7 Sound problem-solving skills and ability to think outside own area=20
of expertise
=B7 Excellent communication skills, ability to liase outside and=20
inside the company
=B7 Sound organisational skills
=B7 Good time-management skills
=B7 Good teamworker
=B7 Energy and enthusiasm
=B7 Keen analytical mind
Keywords: Statistician, Junior Statistician, Statistics, Mathematics,=20
Statistical Analysis, SAS, Statistical Programming, SAS Programmer
For more information Contact Lawrence Hay on 01273 722366 or email:
[log in to unmask]
=========================================================================
Date: Fri, 22 Jul 2005 09:55:00 +0100
Reply-To: Chris Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brown <[log in to unmask]>
Subject: New Job: BSc or MSc Gradudates to for Marketing Statistics
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Summary of Role: A global market research agency with over 60 offices in=20
40 countries is seeking a Statistics/Economics/Economics graduate to take=20
on an important role of key responsibility within their Statistics &=20
Sampling department, based in Warwickshire. =20
Information on Client: An innovative leader within their field, this=20
market research company specialises in helping clients - many of them blue=20
chip companies - maximise brand performance, brand health and brand=20
equity. They optimize companies' media, advertising, PR and other=20
communications. They currently run over 1,000 Advanced Tracking Programs=20
(ATPs=99), have conducted over 30,000 Link=99 copytests, have completed more=
=20
than 11,000 BrandDynamics=99 projects and have modelled over 450 brand=20
sales. They have undertaken thousands of web-based projects. =20
Benefits: Our Client provides a comprehensive remuneration and benefits=20
package, work-life balance initiatives and social events. Viewed together,=20
these benefits present significant financial, personal and professional=20
growth opportunities. Further information is available on application.
Job Role:
You will be primarily responsible for=20
=B7 Taking a proactive role in the conducting and reporting of=20
econometric modelling analyses carried out on behalf of the company's=20
major clients
=B7 Attending to the modelling needs of a number of key clients,=20
examining the effects of advertising, pricing, promotion and other factors=20
in order to inform important decision-makers and provide input for=20
clients' marketing strategy
=B7 Giving input on the Sales modelling approach for each project
=B7 Generating meaningful insights from data
=B7 Working closely with Client Service executives and providing high=20
added-value service to their clients
=B7 Ensuring that appropriate recommendations are communicated to the=20
client
=B7 Keeping up-to-date with company methodologies and R&D initiatives=20
and communicating these externally
=B7 Resolving problems
=B7 Exposure to the analysis of large scales survey projects
Minimum Requirements:
Degree in Statistics, Economics, or Econometrics (preferably a=20
postgraduate)
1+ year's experience (but more likely 2-3), preferably in market research=20
Understanding and application of time-series and regression analysis=20
within statistical software packages
Advertising and price modelling experience would be helpful, but are not=20
essential
Experience of dealing with/presenting to clients advantageous
Professional and enthusiastic
Good client service orientation and comfortable with giving consultancy=20
advice
An innovative problem solver
Good listener
Able to communicate details in everyday language
A people person
Flexible
Unique Benefits: This is an excellent window for a high-achieving young=20
graduate to enter a global market research company at executive level. By=20
contributing to a challenging and supportive atmosphere, personal and=20
professional growth can occur.
Keywords: Statistical Executive, Statistical Manager, Statistics,=20
Economic Statistics, Econometrics, Market Research, Market Analysis,=20
Statistical Analysis
For more information contact Chris Brown at Fforde on 01273 722366 or=20
email:
[log in to unmask]
=========================================================================
Date: Fri, 22 Jul 2005 09:58:16 +0100
Reply-To: Lawrence Hay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lawrence Hay <[log in to unmask]>
Subject: New job: Contract Bioinformatics Analyst
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Job Role:=20
You will be primarily responsible for
=B7 Automating analysis of very large genetic datasets
=B7 Automation of bioinformatics analysis currently done manually
=B7 Construction of lightweight analytical tables to allow complex=20
analysis of genetic data, using Batch SQL queries and PERL
=B7 Biological and computational analysis
=B7 Functional analysis of SNP data and genomic characterization
This is a 6-month contract position.
Minimum Requirements
=B7 BSc in Biological or Computer Sciences essential
=B7 Postgraduate qualification in a relevant field
=B7 Experience of biological and computational analysis
=B7 Skills in SQL, Perl and database construction
=B7 Knowledge of Biology and Genetics would be an advantage
Unique Benefits: This is an excellent opportunity to join a world leading=20
pharmaceutical company.
Keywords: Bioinformatician, Bioinformatics, Bioinformatics Analyst,=20
Analyst, Computer Analyst, Biological Sciences, Computer Sciences,=20
Biology, Genetics
=========================================================================
Date: Fri, 22 Jul 2005 17:26:22 +0100
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: COURSE: Evidence Synthesis for Decision Modelling, 5-9 Dec 2005,
Bristol, U.K.
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Apologises for cross posting.
EVIDENCE SYNTHESIS FOR DECISION MODELLING
5th - 9th December 2005, Burwalls, Bristol, U.K.
This course is a 5-day course intended for:=20
(a) Anyone undertaking health technology assessments, including =
cost-effectiveness analyses,
(b) Statisticians, with or without experience in meta-analysis, who wish =
to learn about Bayesian methods for evidence synthesis particularly in =
the context of cost-effectiveness analysis.
The methods taught on the course are designed to be compatible with the =
recent guidance issued by the National Institute for Clinical =
Excellence, requiring probabilistic methods in cost-effectiveness =
models. The course focuses particularly on Bayesian methods for evidence =
synthesis that can be integrated within a probabilistic modelling =
framework, and can be used to statistically combine evidence from a =
range of structures. The course is built around a series of examples =
using the WinBUGS statistical software.
Further details including online booking can be found at the course =
website
http://www.hsrc.ac.uk/EvidenceSynthesis2005/evsynth_main.htm and from =
the Course Administrator Sarah Garbutt (Email
[log in to unmask] or Tel +44 (0)117 928 7262) whilst a summary =
is pasted below.
PRELIMINARY PROGRAMME:
- Introduction to Bayesian methods and WinBUGS
- Bayesian Approaches to Meta-Analysis - fixed and random effects =
modelling=B7
- Heterogeneity, Meta-Regression and Adjusting for Baseline Risk=B7
- Model Critique and Evidence Consistency - in random effects =
meta-analysis=B7
- Bayesian Approaches to Evidence Synthesis for Decision Modelling
- Multi-Parameter Evidence Synthesis - in epidemiological models=20
- Mixed Treatment Comparisons=B7 Markov Decision Models=20
- Markov Modelling & Meta-Analysis =20
- Chain of Evidence=20
- Multiple Outcomes=B7=20
- Observational & Randomised Evidence - Generalised Evidence Synthesis =
- Further Issues in Evidence Synthesis - Publication Bias, Value of =
Information methods
COURSE ORGANISERS:
Prof Keith Abrams (Univ of Leicester), Prof Tony Ades (MRC HSRC, =
Bristol),
Dr Nicola Cooper (Univ of Leicester), Dr Alex Sutton (Univ of Leicester)
and Dr Nicky Welton (MRC HSRC, Bristol)
VENUE:
Burwalls - set in pleasant grounds right next to Clifton Suspension =
Bridge,
10 minutes walk from the centre of Clifton.
Further details on Burwalls can be found at =
http://www.bristol.ac.uk/burwalls/
COURSE FEES:
Course fees will cover workshop documentation, lunch, tea and coffee and =
the course dinner on Wed 7th Dec. You will need to book your own =
accommodation:
Student - =A3450=20
Academic - =A3650=20
Industry - =A31300
You will need to book your own accommodation. A range of accommodation =
will be available to delegates. Information will follow on registration.
PRE-REQUISITES:
- Applicants should have a good working knowledge of: fixed and random =
effects meta-analysis, logistic regression, and statistical interaction. =
- Experience with probabilistic decision analysis in cost effectiveness =
analysis would be an advantage, but is not necessary.=20
- Applicants are expected to have downloaded WinBUGS prior to the =
course, and to have worked through the on-line tutorial, and explored =
the on-line BLOCKER example (Help_Examples Vol I_Blocker).=20
>
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Mon, 25 Jul 2005 13:51:19 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: CONTRACT-Senior Statistician-Switzerland
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Hello Allstaters and everyone who attended the recent PSI Conference in
Cardiff
=20
=20
Please find below our latest contract Statistician role in Switzerland.
This is a 6 month contract and we are looking for someone who is
available to start in either September or October.
=20
* Responsible for all statistical tasks for assigned clinical
trials in the Oncology therapeutic area. This includes: protocol
writing, analysis planning and reporting, exploratory analyses,
publication support, and statistical consultation.
* Coordinate study tasks with other statisticians and statistical
programmers.
* Ensure timeliness and adequate quality of all statistical
deliverables.
=20
* Minimum MSc in statistics
* At least 5 years experience in pharmaceutical development and
clinical research
* Strong statistical skills and knowledge of clinical trials
methodology: experience with protocol development, analysis planning and
reporting of clinical trials
* Knowledge of SAS
=20
=20
=20
Please forward your CV ASAP or contact me on the number below to discuss
in more detail.
=20
James Harvard is a specialist recruitment company dedicated to the
pharmaceutical industry.
=20
Kind Regards
Mark O'Brien
=20
=20
Direct Dial: 020 7269 5006
Mobile: 07921 176225
Email: [log in to unmask]
Switchboard: 020 7269 5000
Fax : 020 7269 5009
Web: www.jamesharvard.com
=20
=20
=20
=========================================================================
Date: Mon, 25 Jul 2005 13:50:25 +0100
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Contract Statistician - Switzerland
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
SEC are recruiting a Contract Statistician to join a world leading
pharmaceutical company for an initial 6-12 month assignment. This position
is based in Basel, Switzerland, full client details will be provided on
application.
Responsibilities:
Working within a dynamic and busy interdisciplinary team you will be
responsible for all statistical tasks for assigned clinical trials within
the oncology therapy area. This will include protocol writing, analysis
planning and reporting, exploratory analyses, publication support, and
statistical consultation. In addition you will coordinate study tasks with
other Statisticians and Statistical Programmers and ensure timeliness and
adequate quality of all statistical deliverables.
Requirements:
Essential is a minimum MSc in Statistics and at least 5 years experience in
pharmaceutical development and clinical research Strong statistical skills
and knowledge of clinical trials methodology (experience with protocol
development, analysis planning and reporting of clinical trials) are
important, alongside a strong knowledge of SAS. Strong team working and
communication skills are, of course, essential.
Additional Info:
The start date for this position is August/September for an initial 6 months
and on offer to candidates that can demonstrate the above experience and
qualifications is a highly attractive daily rate and an opportunity to work
for a market leader in a the beautiful Swiss city of Basel.
If you are interested in this position please forward your CV ASAP with a
short note detailing your availability to start and your rate expectations.
Alternatively call for further details.
Kind regards,
Alan Brophy
Senior Consultant - Pharmaceutical Division
SEC Recruitment, London
0207 258 8400
=========================================================================
Date: Mon, 25 Jul 2005 17:17:31 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Deborah Kester <[log in to unmask]>
Subject: FW: JOB post doctoral level research position at leading hedge
fund in London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Man Investments, the world's largest hedge fund manager and part of Man Gro=
up plc, a leading FTSE100 company, invites applications from post-doctoral =
level candidates in quantitative finance or the statistical, mathematical o=
r applied sciences for a permanent position in its London based AHL Researc=
h group.=20
Man Investments provides a=A0dynamic working environment in the fast-paced =
world of alternative investment management with=A0ample opportunities for p=
ersonal development. Intelligence and creativity are highly valued as the=
=A0individual motivation and professionalism=A0of our people plays a critic=
al role in=A0our success.
AHL has a long history of profitably trading the global financial and commo=
dity markets using a model-based purely systematic approach and currently m=
anages investments of over US$11B. The role will involve the development a=
nd management of our in-house systematic trading system, the design of quan=
titative models for examining and optimising our investment portfolio, the =
day-to-day monitoring of risk and the analysis of financial market data.
This opportunity is ideal for a self-motivated dynamic individual who is ab=
le to think past efficient market theories, has interests in quantitative m=
odelling and trading, and seeks a challenging responsible position with opp=
ortunities to contribute to the expansion, development and practice of the =
business.=20
Requirements
* Degree and doctorate in quantitative finance or a statistical/mathematica=
l/scientific discipline
* Proven independent research ability together with considerable scientific=
computing experience
* Excellent verbal and written communication skills
* Experience of statistical or mathematical modelling and data analysis
* Basic knowledge/understanding of financial derivative markets
* Familiarity with Unix and one or more of Matlab, Splus, R and C/C++ would=
be advantageous
Applications
Closing date for applications is 30th September 2005. =20
Please refer to vacancy reference 698 in the Man Investments careers sectio=
n of the Man Group website (http://www.mangroupplc.com) for further details.
Please email your application letter, CV and completed skills sheet (availa=
ble from the website) to [log in to unmask]
Applications which do not include a completed skills sheet will not be cons=
idered.
---------------------------------------------------------------------------=
----------------------
Deborah Kester
HR Business Partner
Man Investments Ltd
Sugar Quay
Lower Thames Street
London EC3R 6DU
=A0
www.maninvestments.com=20
=A0
A member of the Man Group
Man Investments Ltd is authorised and regulated by the Financial Services A=
uthority
Registered in England No. 2093429
**********************************************************************
Any information in this communication which is confidential must not
be disclosed to others without our consent. Such consent is not required
where the information is publicly available and intended for onward
distribution. If the information is confidential and if you are not the
intended recipient, you are not authorised to and must not disclose,
copy, distribute, or retain this message or any part of it. You are
requested to return this message to the sender immediately.
Due to the electronic nature of e-mail, there is a risk that the
information contained in this message has been modified.=20
Consequently Man Investments can accept no responsibility or
liability as to the completeness or accuracy of the information.
Visit us at: www.maninvestments.com
**********************************************************************
=========================================================================
Date: Mon, 25 Jul 2005 16:23:49 -0500
Reply-To: John Norton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Norton <[log in to unmask]>
Subject: Summary of the discussions re: K-M Criticisms
Mime-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Dear List, Earlier last week I posted a request for assistance with =
gaining a better understanding of the criticisms levied against the K-M =
approach to survival analysis when competing risks may be a consideration. =
I received several responses which offered genuinely helpful insights and =
references. Others contacted me with a request that I share what I've =
learned. So, with grateful appreciation for all who responded, I offer =
this summary. I hope it is both accurate and useful, and welcome further =
input, corrections or continued discussion (what better way to solidify =
what I've learned!) The criticism against K-M survival analysis under =
certain scenarios * e.g. when competing risks are to be considered - is =
that it artificially inflates the estimates of the actuarial incidence of =
a critical event. K-M ignores the presence of competing risks (CR), =
whereas the cumulative incidence model does not. K-M is therefore not =
appropriate if competing risks are to be considered. My initial concern =
was whether this was a valid criticism, and according to several who =
responded, indeed it is. From one respondent, "there is a very strong =
theoretical background about estimating incidence of event in competing =
risk situation and the theory does not point at KM but on the cumulative =
incidence function". That is, the CR model bases its estimates on actual =
rates relative to the critical event, and so more accurately estimates the =
percentage of events expected to occur, whereas the actuarial incidence =
given by the Kaplan-Meier method is much larger. It seems that the issue =
really has to do with the interpretation of the quantities one is =
estimating. So essentially, it boils down to a question of defining the =
outcome or the critical event, which then implies the definition for =
censoring. Essentially, censored cases are those for which we have =
incomplete information relative to the outcome or critical event. =
Censoring means we will never know if the critical event would have =
occurred, and that may be due, for example, to the death of a case before =
the end of the study, or its loss to follow up. A competing risk, on the =
other hand, means that the critical event would never have occurred in the =
first place. So, it is essential that we separate those cases which =
report a competing event from those who are genuinely censored. Following =
are a couple examples: * Cardio-thoracic surgery - if the critical event =
is defined as the replacement of a valve implant, "replacement-free =
survival" is defined as the time to replacement or death. If you are =
interested in estimating the proportion of valves still able to function =
after a defined period of time, then death is defined as a censoring =
event. (Miller, 1999). * Fertility - If the critical event is miscarriage =
or stillbirth, then a live birth is defined as a competing risk; and =
elective termination is a censoring event because we know that the =
critical event would never have occurred. The K-M approach estimates the =
actuarial incidence, which is based on censoring cases that leave the =
analysis due to causes other than the critical event. In other words, =
this approach estimates the probability of being free of a critical event, =
*if* a patient should live so long. By contrast, actual rates give the =
cumulative incidence of an event up to a specific point in time, accounting=
for competing events such as death. In other words, whether a patient =
lives or not, the actual rate gives the likelihood that the critical event =
will occur. If a patient dies or experiences an event which prohibits the =
critical event from occurring, then the patient is not counted as having =
experienced the critical event. Actual rates assume that only active =
cases (e. g., living patients) continue to be at risk for a future event. =
I received one suggestion to consider a method called "relative survival" =
which apparently also incorporates competing risks. (Dickman, 2004). =
However, at this point, I have not yet looked into this method, so I can =
not address it here. One point of clarification from my initial post, =
though: I wrote that the artificial inflation of the estimates, confidence =
intervals, and SE in K-M is the result of the decreasing n of cases at =
risk at later time points. However, one respondent pointed out that the =
effects of the decreasing n of cases at risk ought to be considered =
independent of the notion of competing risks. I hope I've been able to =
summarize the information accurately and in a way that's useful and =
informative. Unfortunately, there is still one issue that was not =
addressed in any detail - whether a statistical package exists which =
supports the CR approach to survival. One respondent offered, "You should =
think seriously about competing risks and [using] SPSS. They are a very =
difficult match." I did locate one package * NCSS * which seems to =
support this method. Might anyone know of others? Additional suggested =
references: Dickman, et al, "Regression models for relative survival" =
Statistics in Medicine (2004), Vol. 23, #1, pp 51-64.) Freidlin B, and =
Korn EL, "Testing treatment effects in the presence of competing risks" =
Statistics in Medicine (2005), Vol. 24, #11, pp 1703-1712 Kalbfleisch,J.D. =
and Prentice, R.L. The statistical analysis of failure time data (1980) =
Wiley, New York, (chapter 8). Miller, et. al., "Actual versus actuarial =
analysis for cardiac valve complications: the problem of competing risks" =
Curr Opin Cardiol. 1999 Mar;14(2):79-83.) John Norton
Biostatistician
Oncology Institute
Loyola University Medical Center(708) 327-3095
[log in to unmask]"Everything that can be counted isn't worth counting,
and everything that is worth counting isn't always countable."=20
- Einstein=20
=========================================================================
Date: Mon, 25 Jul 2005 16:32:17 -0500
Reply-To: John Norton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Norton <[log in to unmask]>
Subject: K-M (Repost after reformatting)
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: 7bit
Dear List,
I have no idea why my last post was not formatted as I intended.
Hopefully this will fare more successfully. My apologies for the last
post.
**
Earlier last week I posted a request for assistance with gaining a
better understanding of the criticisms levied against the K-M approach
to survival analysis when competing risks may be a consideration. I
received several responses which offered genuinely helpful insights and
references. Others contacted me with a request that I share what I've
learned. So, with grateful appreciation for all who responded, I offer
this summary. I hope it is both accurate and useful, and welcome
further input, corrections or continued discussion (what better way to
solidify what I've learned!)
The criticism against K-M survival analysis under certain scenarios *
e.g. when competing risks are to be considered - is that it artificially
inflates the estimates of the actuarial incidence of a critical event.
K-M ignores the presence of competing risks (CR), whereas the cumulative
incidence model does not. K-M is therefore not appropriate if competing
risks are to be considered.
My initial concern was whether this was a valid criticism, and
according to several who responded, indeed it is. From one respondent,
"there is a very strong theoretical background about estimating
incidence of event in competing risk situation and the theory does not
point at KM but on the cumulative incidence function". That is, the CR
model bases its estimates on actual rates relative to the critical
event, and so more accurately estimates the percentage of events
expected to occur, whereas the actuarial incidence given by the
Kaplan-Meier method is much larger.
It seems that the issue really has to do with the interpretation of the
quantities one is estimating. So essentially, it boils down to a
question of defining the outcome or the critical event, which then
implies the definition for censoring. Essentially, censored cases are
those for which we have incomplete information relative to the outcome
or critical event. Censoring means we will never know if the critical
event would have occurred, and that may be due, for example, to the
death of a case before the end of the study, or its loss to follow up.
A competing risk, on the other hand, means that the critical event
would never have occurred in the first place. So, it is essential that
we separate those cases which report a competing event from those who
are genuinely censored. Following are a couple examples:
* Cardio-thoracic surgery - if the critical event is defined as the
replacement of a valve implant, "replacement-free survival" is defined
as the time to replacement or death. If you are interested in
estimating the proportion of valves still able to function after a
defined period of time, then death is defined as a censoring event.
(Miller, 1999).
* Fertility - If the critical event is miscarriage or stillbirth, then
a live birth is defined as a competing risk; and elective termination is
a censoring event because we know that the critical event would never
have occurred.
The K-M approach estimates the actuarial incidence, which is based on
censoring cases that leave the analysis due to causes other than the
critical event. In other words, this approach estimates the probability
of being free of a critical event, *if* a patient should live so long.
By contrast, actual rates give the cumulative incidence of an event up
to a specific point in time, accounting for competing events such as
death. In other words, whether a patient lives or not, the actual rate
gives the likelihood that the critical event will occur. If a patient
dies or experiences an event which prohibits the critical event from
occurring, then the patient is not counted as having experienced the
critical event. Actual rates assume that only active cases (e. g.,
living patients) continue to be at risk for a future event.
I received one suggestion to consider a method called "relative
survival" which apparently also incorporates competing risks. (Dickman,
2004). However, at this point, I have not yet looked into this method,
so I can not address it here.
One point of clarification from my initial post, though: I wrote that
the artificial inflation of the estimates, confidence intervals, and SE
in K-M is the result of the decreasing n of cases at risk at later time
points. However, one respondent pointed out that the effects of the
decreasing n of cases at risk ought to be considered independent of the
notion of competing risks.
I hope I've been able to summarize the information accurately and in a
way that's useful and informative. Unfortunately, there is still one
issue that was not addressed in any detail - whether a statistical
package exists which supports the CR approach to survival. One
respondent offered, "You should think seriously about competing risks
and [using] SPSS. They are a very difficult match." I did locate one
package * NCSS * which seems to support this method. Might anyone know
of others?
Additional suggested references:
Dickman, et al, "Regression models for relative survival" Statistics in
Medicine (2004), Vol. 23, #1, pp 51-64.)
Freidlin B, and Korn EL, "Testing treatment effects in the presence of
competing risks" Statistics in Medicine (2005), Vol. 24, #11, pp
1703-1712
Kalbfleisch,J.D. and Prentice, R.L. The statistical analysis of failure
time data (1980) Wiley, New York, (chapter 8).
Miller, et. al., "Actual versus actuarial analysis for cardiac valve
complications: the problem of competing risks" Curr Opin Cardiol. 1999
Mar;14(2):79-83.)
John Norton
Biostatistician
Oncology Institute
Loyola University Medical Center(708) 327-3095
[log in to unmask]"
Everything that can be counted isn't worth counting,
and everything that is worth counting isn't always countable."
- Einstein
=========================================================================
Date: Tue, 26 Jul 2005 10:15:12 +0100
Reply-To: Iain Morrison <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Iain Morrison <[log in to unmask]>
Subject: JOB : Senior Statistician at MRC Epidemiology Unit Cambridge
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Medical Research Council Epidemiology Unit
Cambridge, UK
Senior Statistician
Ref: EPID/705/11
The MRC Epidemiology Unit was set up in October 2003 to study the =
genetic
and environmental determinants of obesity, diabetes and related =
metabolic
disorders. For further information about the Unit please visit
http://www.mrc-epid.cam.ac.uk
A Senior Statistician is required to lead the Statistical Group and =
provide
expertise in Biostatistics for the Unit by advising on new methods and
latest developments. You will be expected to manage the resources =
available
for statistical work and advise the Director priorities, allocating =
research
work to team members and representing the Group's interests at Senior
Scientific meetings.
You should have a Master's or a doctoral degree in statistics or a =
related
subject. You will have at least 5 years statistical experience in using
epidemiological and biostatistical principals, including experience in =
the
design of research studies and investigations. You will have extensive
experience in statistical analysis, interpretation and research methods =
in
the context of Epidemiology. In addition you should have a proven track
record in leadership and management in order to develop the Unit's
Statistical team as they will have responsibility for the Line =
Management of
two Unit staff in the Statistical Group.
This is a permanent position with a starting salary in the range of =
=A334,588
- =A340,655 per annum, depending on qualifications and experience. This =
is
supported by a flexible pay and reward policy.
We can offer a 36 hour working week, 30 days holiday entitlement and an
optional MRC final salary Pension Scheme.
To apply, please quote job reference EPID/705/11 in a covering letter =
and
include a CV with the names and addresses of two professional referees =
who
can be contacted prior to interview.
E-mail your application to: [log in to unmask] or post to:
Recruitment Office,
Personnel Department,
MRC Centre,
Hills Road,
Cambridge CB2 2QH.
Closing date: 19th August 2005
PREVIOUS APPLICANTS NEED NOT APPLY
For further information about MRC visit http://www.mrc.ac.uk
The Medical Research Council is an Equal Opportunities Employer.
'Leading Science for Better Health'=20
http://www.mrc-epid.cam.ac.uk/Jobs/Advert_705_11.html
=========================================================================
Date: Tue, 26 Jul 2005 10:15:50 +0100
Reply-To: Iain Morrison <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Iain Morrison <[log in to unmask]>
Subject: JOB : Statistician at MRC Epidemiology Unit Cambridge
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Medical Research Council Epidemiology Unit
Cambridge, UK
Statistician
Ref: EPID/705/12
The MRC Epidemiology Unit was set up in October 2003 to study the =
genetic
and environmental determinants of obesity, diabetes and related =
metabolic
disorders. For further information about the Unit please visit
http://www.mrc-epid.cam.ac.uk
We are looking to appoint a Statistician to undertake statistical =
analysis
and provide statistical advice to the project-leading scientists on a =
number
of on-going projects within the Unit's programmes. You will liaise with
other Unit staff in the collation and analysis of results and assist in =
the
design of further studies. You will be expected to draft sections of
scientific papers and to contribute to the overall preparation of =
research
results for publication.
You should have a master's or doctoral degree in statistics or a =
related
subject, along with extensive experience in using epidemiological and
biostatistical principles, including experience in the design of =
research
studies and investigations.
This is a permanent position with a starting salary in the range of =
=A324,746
- =A330,286 per annum, depending on qualifications and experience. This =
is
supported by a flexible pay and reward policy.
We can offer a 36 hour working week, 30 days holiday entitlement and an
optional MRC final salary Pension Scheme.
To apply, please quote job reference EPID/705/12 in a covering letter =
and
include a CV with the names and addresses of two professional referees =
who
can be contacted prior to interview.
E-mail your application to: [log in to unmask] or post to:
Recruitment Office,
Personnel Department,
MRC Centre,
Hills Road,
Cambridge CB2 2QH.
Closing date: 19th August 2005
PREVIOUS APPLICANTS NEED NOT APPLY
For further information about MRC visit http://www.mrc.ac.uk
The Medical Research Council is an Equal Opportunities Employer.
'Leading Science for Better Health'=20
http://www.mrc-epid.cam.ac.uk/Jobs/Advert_705_12.html
=========================================================================
Date: Tue, 26 Jul 2005 10:40:28 +0100
Reply-To: honey vincent valle <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: honey vincent valle <[log in to unmask]>
Subject: Systematic sampling
Content-Disposition: inline
Content-Transfer-Encoding: quoted-printable
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Hi friends,
Here's my query:
What can be done if k is not a whole number, where k =3DN/n, N is the total=
no. of population elements, and n is the desired sample size.
Thanks...
best regards,
Honey
--=20
_______________________________________________
Surf the Web in a faster, safer and easier way:
Download Opera 8 at http://www.opera.com
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=========================================================================
Date: Tue, 26 Jul 2005 12:14:36 +0200
Reply-To: Idec Comunicacio <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Idec Comunicacio <[log in to unmask]>
Subject: COURSE - Structural Equation Modeling with EQS 6.1, Barcelona
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Content-Type: text/plain; charset="iso-8859-1"
Structural Equation Modeling with EQS 6.1 - Short Course
by Peter M. Bentler (UCLA) and Albert Satorra (Universitat Pompeu Fabra)
Barcelona, 5 - 6 September 2005
More details can be found at
http://www.idec.upf.edu/ceqs
The contact address for further information and registration is
IDEC (Continuing Education Institute)
Balmes, 132
08008 Barcelona
Tel: (+34)-93-5421850
Fax: (+34)-93-5421808
E-mail: [log in to unmask]
=========================================================================
Date: Tue, 26 Jul 2005 11:34:38 +0100
Reply-To: Sherrie King <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sherrie King <[log in to unmask]>
Subject: JOB: PhD Studentship in Medical Statistics/Epidemiology (HIV
Research), London SE5
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PhD Studentship in Medical Statistics/Epidemiology (HIV Research)
Department of HIV/GU Medicine
Division of Immunity, Infection and Inflammatory Diseases
The Guy's, King's and St Thomas' School of Medicine
Kings College London, Denmark Hill Campus, London SE5
Applications are invited for a Research Assistantship / PhD=20
studentship/Research Assistantship within the Department of HIV and=20
Genitourinary Medicine, Kings College on =93The impact of HIV infection on=
=20
the black Caribbean population in the UK=94 to start in September 2005. This=
=20
is a collaborative MRC funded project with the Department of Infectious=20
Diseases Epidemiology at Imperial College, where the statistical and e=20
statistical mathematical modelling of HIV transmission dynamics will be=20
supervised by Professor Geoff Garnett=20
(http://www1.imperial.ac.uk/medicine/people/g.garnett.html).
The successful candidate will join an active and internationally renowned=20
team in HIV epidemiology and an expanding cross-campus HIV clinical and=20
basic science HIV research group at Kings based in a 5* research division.=
=20
The research activities of the department include several large=20
epidemiological studies, including a Medical Research Council sponsored=20
project on HIV transmission in the black Caribbean community in South=20
London, the epidemiology of different HIV subtypes, as well as laboratory=20
based studies on the pathogenesis of resistance to HIV, and phase 2 and 3=20
clinical trials on antiretroviral drugs. Further details on the project and=
=20
department are attached.
The candidate will also be actively involved with the statistical analysis=
=20
of several other epidemiological and clinical studies in the department, in=
=20
particular two pan-London epidemiological studies on HIV-associated=20
nephropathy (HIVAN) and HIV-TB co-infection. The PhD can be undertaken=20
part-time while gaining further experience in the analysis of these other=20
projects. The candidate will be encouraged to attend the regular=20
departmental journal club, in addition to relevant seminars at Kings and=20
Imperial College, the MRC HIV Clinical Trials Centre and local RSS=20
meetings. Further information for prospective postgraduate students at=20
Kings College are available from=20
http://www.kcl.ac.uk/pgp05/school/51/research. Training in mathematical=20
modelling of infectious disease transmission dynamics will be provided by=20
Imperial College.
Applicants should possess at least a 2.1 degree and an MSc in statistics,=20
and have practical experience in medical statistics and epidemiology.=20
Previous HIV research experience would be an advantage. Experience of=20
numerical analysis or programming in C/C++ would also be an advantage.=20
Candidates should have excellent computer skills and considerable=20
experience in using statistical packages such as STATA, or SAS and database=
=20
systems such as Microsoft Access. Experience of numerical analysis or=20
programming in C/C++ would also be an advantage. They should have good=20
communication skills, possess initiative, and be able to work effectively=20
as part of a team.
The studentship will cover all academic fees for UK residents, a stipend of=
=20
=A315,000, plus a discretionary enhancement depending according to on the=20
student=92s background and contribution to the statistical analyses of other=
=20
projects in the department.
Applicants should submit a letter of application to Professor Easterbrook=20
and the standard Kings College London application for postgraduate study=20
(http://www.kcl.ac.uk/pgp05//), and return to:
Sherrie King
Dept HIV/GUM
Guy=92s, King=92s and St Thomas=92 School of Medicine
Weston Education Centre
Cutcombe Road
London SE5 9RJ, Tel: 020 7848 5770 :Fax: 020 7848 5769
Electronic submissions should be sent [log in to unmask]
For an informal discussion about the studentship, please call Professor=20
Philippa Easterbrook, Head of Department (Tel: 020 7848 5770 or e-mail=20
[log in to unmask]).
Deadline for applications is Sunday 7th August 2005.
Project summary: The high rates of bacterial sexually transmitted=20
infections among the black Caribbean community in the UK is of major public=
=20
health concern, and has fuelled concerns about the potential for increasing=
=20
transmission of HIV infection in this population. To date, there has been=20
little research in the UK focused on HIV in the black Caribbean population.=
=20
An in-depth epidemiological, behavioural and laboratory MRC study of known=
=20
HIV-infected patients and STD clinic attendees of black Caribbean origin in=
=20
South London is currently ongoing. The PhD studentstudentship will focus=20
mainly on analyses to predict the future course and potential impact of HIV=
=20
infection in the black Caribbean community on the UK HIV epidemic.
Sherrie King
PA to Professor Easterbrook
GKT School of Medicine
Weston Education Centre
Cutcombe Road
London SE5 9RT
Tel: 020 7848 5770
Fax: 020 7848 5769
e-mail: [log in to unmask]
=========================================================================
Date: Tue, 26 Jul 2005 03:09:29 -0700
Reply-To: Khassoum Diallo <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Khassoum Diallo <[log in to unmask]>
Subject: Re: Systematic sampling
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear Honey
Try to take the closest lowest whole number. If
k=3.33. Take k as 3. If you take k=4, you might not
reach the sample size you need.
Good luck
--- honey vincent valle <[log in to unmask]>
wrote:
> Hi friends,
>
> Here's my query:
>
> What can be done if k is not a whole number, where k
> =N/n, N is the total no. of population elements, and
> n is the desired sample size.
>
> Thanks...
>
> best regards,
>
> Honey
>
> --
> _______________________________________________
> Surf the Web in a faster, safer and easier way:
> Download Opera 8 at http://www.opera.com
>
> Powered by Outblaze
>
__________________________________________________
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=========================================================================
Date: Tue, 26 Jul 2005 05:10:09 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: Query: Comparison of correlated correlations
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Dear all,
Is there any way to compare and test correlated
correlations for both overlapping and non overlapping
cases in SAS.
Thanks in advance.
Indrajit
__________________________________________________
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=========================================================================
Date: Tue, 26 Jul 2005 13:12:16 +0100
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: JOB: (Senior) Teaching Fellow in Medical Statistics,
Univ of Leicester, U.K.
Comments: cc: [log in to unmask], [log in to unmask]
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
UNIVERSITY OF LEICESTER, U.K.
Department of Health Sciences
TEACHING FELLOW/SENIOR TEACHING FELLOW IN MEDICAL STATISTICS
Available immediately for a period of 3 years=20
Other Related Grade 1, 2 or 3 (dependent on experience)
OR 1 =A319,460 to =A324,820
OR 2 =A322,507 to =A329,128
OR3 =A330,363 to =A335,883 (Senior Teaching Fellow only)
Ref: E2150
PARTICULARS OF APPOINTMENT:
To organise, develop and deliver teaching of the well-established MSc in =
Medical Statistics course. =20
The postholder will have a relevant postgraduate qualification, at least =
2 years relevant medical=20
statistics and/or teaching experience, and excellent organisation, =
communication and interpersonal skills.
The post is available full-time, but flexible part-time arrangements =
within the funding available can also be=20
considered on request (for example, if the applicant has or wishes to =
seek some other research or consultancy=20
commitments on a part-time basis).
MAIN DUTUES & RESPONSIBILITIES:
* To organise, develop and deliver teaching of the MSc in Medical =
Statistics,=20
including leading several taught modules, and supervision of several =
projects
* To undertake administration related to the above teaching duties
* To contribute to curriculum review and development of the programme
* Undertake other reasonable duties as may be assigned by the Head of =
Department of Health Sciences
Candidates considered for the post at OR 3 will also be required to: =20
* Take a leading role as regards the organisation of course =
administration,=20
curriculum review and development of the MSc programme
Responsible to: the Director of the MSc in Medical Statistics =
(Professor David Jones to August 2005;=20
Professor Keith Abrams from September 2005).
FURTHER DETAILS:
Regarding the MSc in Medical Statistics can be found at;
www.hs.le.ac.uk/courses/teaching/msc/medstats/
Regarding the Department of Health Sciences can be found at;
www.hs.le.ac.uk
Regarding post and application procedure can be found at;
www.le.ac.uk/personnel/jobs/e2150a.html
CLOSING DATE: August 16th, 2005
INFORMAL INQUIRIES:
Professor Keith Abrams ([log in to unmask]; +44/0 116 252 3217 ) or=20
Professor David Jones ([log in to unmask]; +44/ 0 116 252 3196).
>
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Tue, 26 Jul 2005 16:00:58 +0100
Reply-To: Andrew Roddam <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew Roddam <[log in to unmask]>
Subject: JOB: Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: quoted-printable
Statistician
=A320,378 - =A327,891 plus Location Allowance
Epidemiology Unit, Oxford
The vision of Cancer Research UK is to conquer cancer through=20
world-class research. We are the world=92s leading independent=20
organisation dedicated to cancer research, spending =A3213m a year on=20
research into treating, preventing and curing cancer.
We are looking for a statistician to work with the unit scientists and=20
senior statisticians in devising and implementing appropriate methods=20
for the analysis of data arising from both the Million Women Study and=20
the EPIC study. This is a fixed term post to 31st March 2009.
The postholder will have either a first degree with a substantial=20
statistical content or an MSc in statistics (preferably medical=20
statistics), will be fluent in study design and analysis methods and be=20
computer-literate, including being familiar with common statistical=20
analysis packages.
To apply, please send two copies of both your CV and covering letter,=20
quoting reference G2087, to Resourcing, PO Box 123, London, WC2A 3PX or=20
email: [log in to unmask]
Closing date: 9th August 2005.
For further information, please visit www.cancerresearchuk.org/aboutus/=20
and click on Jobs.
A culture of diversity. A focus on success.
--=20
Dr Andrew Roddam
Cancer Research UK Epidemiology Unit
University of Oxford
Richard Doll Building
Old Road Campus
Oxford UK
OX3 7LF
T: +44 (0)1865 289600
F: +44 (0)1865 289610
=========================================================================
Date: Tue, 26 Jul 2005 17:51:09 +0200
Reply-To: Geert Verbeke <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Geert Verbeke <[log in to unmask]>
Organization: Biostatistical Centre KULeuven
Subject: 2nd International meeting: Methodological Issues in Oral Health
Research: Assessing and Improving Data Quality
MIME-Version: 1.0
Content-Type: text/plain; charset="windows-1258"
Content-Transfer-Encoding: quoted-printable
=20
First Announcement of=20
=20
2nd International meeting:=20
Methodological Issues in Oral Health Research:=20
Assessing and Improving Data Quality
April 19-21, 2006,=20
Ghent, Belgium
The meeting is sponsored by Pfizer Consumer Healthcare-Listerine
=20
=D8 Aims of the meeting
The aims of the meeting are (1) establishing an overview of methods to
improve the design of oral health studies as well as the quality of
questionnaire and clinical data;=20
(2) establishing an overview of the statistical methods which take into
account measurement error/misclassification in oral health data;=20
(3) enhancing the communication between oral health researchers and
statisticians.=20
=20
=D8 Theme of the meeting
A state of the art on design issues in oral health studies and on =
methods
that assess, improve and take the quality of oral health studies into
account both from a dental as=20
well as a statistical perspective is the main theme of the meeting. The
invited speakers were asked to give an attractive presentation, both for
oral health researchers as=20
well as for statisticians. Plenary and discussion sessions will provide =
oral
health researchers and statisticians the opportunity to confront their
views. Ample time will be=20
available for oral health researchers and statisticians to meet =
informally.=20
Posters will be on display prior to and during the entire meeting. An =
edited
volume based on peer-reviewed manuscripts from the oral presentations =
and
the poster=20
presentations will be published.
=20
=D8 Programme
Invited speakers are: Finbarr Allen (U. of Cork, Ireland), Jocelyne =
Feine
(McGill, Montreal), Helmut K=FCchenhoff (U. of Munich, Germany), Nigel =
Pitts
(U. of Dundee, UK).
=20
=D8 Secretariat of the meeting
Biostatistical Centre
U.Z. St. Rafa=EBl
Katholieke Universiteit Leuven
Kapucijnenvoer 35, 3000 Leuven, Belgium
Tel: +32 (0)16 33 68 92
Fax: +32 (0)16 33 70 15
e-mail : [log in to unmask]
<mailto:[log in to unmask]>=20
=20
=D8 Call for oral contributions and posters
Participants are invited to present their work either as an oral
presentation or as a poster. To promote the collaboration between oral
health researchers and=20
statisticians priority will be given to contributions presented jointly =
by
the oral health researcher and the statistician. The official language =
will
be English.=20
Abstracts should be submitted via e-mail before January 1, 2006 to
[log in to unmask] =
<mailto:[log in to unmask]>
following the guidelines available on the meeting's Website:
http:/med.kuleuven.be/biostat/conferences/Dental2006/
The organisers will notify acceptance or rejection of papers before =
February
28, 2006.
=20
=D8 Pfizer-Listerine Mouthwash Biostatistical Grant
Two researchers (preference will be given to candidates of developing
countries) will be supported up to an amount of 1250=80 each to =
participate=20
in the meeting. Candidates for this grant are invited to submit a =
two-pages
abstract (see instructions on Website) no later than November 1, 2005.=20
Winners will be notified before November 15, 2005.=20
=20
=D8 Scientific committee
Jokstad Asbjorn (Oslo, Norway), Melissa Begg (Columbia, USA), Dominique
Declerck (Leuven, Belgium), Jocelyne Feine (McGill, Canada),=20
Brian Leroux (Seattle, USA), Emmanuel Lesaffre (Leuven, Belgium), Ian
Needleman (London, UK), Michael Vaeth (Aarhus, Denmark).
=20
=D8 Local organising committee
Joana Carvalho, Dominique Declerck, Mar=EDa-Jos=E9 Garc=EDa Zattera, =
Roos Leroy,
Emmanuel Lesaffre, Jean-Pierre Van Nieuwenhuysen, Jacky Vanobbergen, =
Geert
Verbeke
=20
=D8 Venue of the meeting
=20
The meeting will be organized in Het Pand (Ghent) (see
<http://www.gent.be/> http://www.gent.be/). Ghent is about 50km away =
from
the airport of Brussels and=20
can be reached easily by train (direct connection). The meeting site is
situated in a medieval abbey in the city centre. Hotel accommodation=20
can be found at
<http://med.kuleuven.be/biostat/conferences/Dental2006/accom>
http:/med.kuleuven.be/biostat/conferences/Dental2006/accom
=D8 Registration
=20
Please register before March 15, 2006 using the electronic registration =
form
at our Website:
<http://med.kuleuven.be/biostat/conferences/Dental2006/accom>
http:/med.kuleuven.be/biostat/conferences/Dental2006/
=20
=D8 Registration fee (3 days)
=20
Early registration (before February 1, 2006): the registration fee is =
350
Euro and includes the registration for the conference,=20
costs for lunches, reception and dinners. The registration fee for an
accompanying person is 175 Euro and includes the costs for=20
lunches, reception and dinners.
Late registration (after February 1, 2006): 400 Euro for participants =
and
225 Euro for an accompanying person.
For students (with supervisor=92s verification) a reduction of 50 Euro =
is
offered.
Cancellation policy: 50% refund for cancellations before March 15, 2006. =
No
refund after this date.
=20
Registration fees should be paid by credit card or to the K.U.Leuven =
account
number 432/0000011/57 mentioning=20
=91400/0000/01352=92 + your name (see also Website).
=20
Attendance to the meeting will be limited to 120 participants. =
Accreditation
for dentists is requested.
=20
=20
=20
For more information check our Website:
http:/med.kuleuven.be/biostat/conferences/Dental2006/
=20
=20
*************************************************************************=
***
*************************************************************************=
***
*************************************************************************=
***
******************
=========================================================================
Date: Tue, 26 Jul 2005 17:56:09 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Manager of SAS Programming
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
CONTRACT: Manager of SAS Programming
=20
Salary: Up to EURO 90ph, DOE.=20
=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
To manage and help direct the activities of the Statistical Programming
group within the Data Operations department of my client's site in
Germany which is responsible for the accurate reporting of clinical
trials. 2. Take full responsibility to ensure all necessary input and
support for harmonization of developments with the other Statistical
Programming groups. 3. Be responsible to increase efficiency and
maintain a high level of quality in the SAS programming area by:
Improving, standardising and documenting procedures. Standardising
database structures and identifying the need for and supervising the
development of standard programs and macros.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv-3485'.=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Tue, 26 Jul 2005 18:13:36 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Calculating odds ratio for multifactor analysis using SPSS
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
> Dear all
>
> I have three factors A, B and C, say, each of which has 3 levels: 1,
2 and 3, say. I wish to calculate the change in odds of having an effect
when an individual falls into level 1 of factors A and B and level 3 of
factor C as opposed to level 3 of factors A and B and level 1 of factor
C.
>
> I have therefore formed a two by two table of the form:
>
> No. with effect No. w/o effect
>
--------------------------------------------------------------------------------------------
> level 1 factor A,
> level 1 factor B n1 n2
> level 3 factor C
>
>
> level 3 factor A,
> level 3 factor B n3 n4
> level 1 factor C
>
-----------------------------------------------------------------------------------------------
>
> I have calculated the change in odds by hand according to the
formula:
>
> (n1/n2)/(n3/n4) [1]
>
> However, if I run a binary logistic regression analysis in SPSS in
which the only covariate included is factorA*factorB*factorC and have
checked that my reference categories are as wished, I obtain an
entirely different answer for the change in odds as defined by the Exp term.
>
> Why is this? I would be grateful for any necessary corrections.
>
> Many thanks in advance.
>
> Best wishes
>
> Margaret
---------------------------------
How much free photo storage do you get? Store your holiday snaps for FREE with Yahoo! Photos. Get Yahoo! Photos
=========================================================================
Date: Tue, 26 Jul 2005 11:27:13 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<allstat@JISCMAIL.AC.UK>
From: Indrajit Sengupta <[log in to unmask]>
Subject: Query: confidence limits for difference of correlation coeff
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear ALL,
I have just written a program to test the difference
between two correlation coefficients using Fisher's Z
transformation. But what I don't have is the formula
for calculating the confidence limits for the
difference of the correlation coefficients (not
difference between the z statistics). Could someone
kindly send me the formula.
Thanks in advance,
Indrajit
__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail.yahoo.com
=========================================================================
Date: Wed, 27 Jul 2005 10:40:36 +0100
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Forecasting Analyst
Dear All,
Datatech have the following requirements,
Forecasting Analyst South West to 22K plus benefits
This is a highly analytical role within the marketing/forecasting
department of a successful mail order company.
Working alongside the Forecasting Manager, you will provide ad-hoc analysis
and reporting of customer activity patterns & trends and catalogue response
rates to aid the decision making process.
Ideally you will be a numerate graduate who is confident to work on his or
her own initiative and who has strong MS Office skills, preferably Access.
This is a fantastic time to join this rapidly expanding organisation,
providing you with the opportunity to be recognised and rewarded for your
contributions.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
=========================================================================
Date: Wed, 27 Jul 2005 12:39:30 +0100
Reply-To: Robert Hills <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Robert Hills <[log in to unmask]>
Subject: JOB - Medical Statistician,
University of Birmingham Clinical Trials Unit
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I have been asked to post the following to the list - please direct any =
informal inquiries to Professor Keith Wheatley on [log in to unmask] =
=20
--------------------------------
UNIVERSITY OF BIRMINGHAM
DIVISION OF MEDICAL SCIENCES=20
BIRMINGHAM CLINICAL TRIALS UNIT (BCTU)
Medical Statistician/ Senior Medical Statistician
Applications are invited to join an expanding team to play a central =
role in the Unit's research. This new vacancy provides an exciting =
opportunity for a statistician wishing to develop their methodological =
expertise in clinical trial research within a successful, rapidly =
expanding research Unit. Duties will include designing trials and =
assessing their feasibility, development of data management systems and =
the analysis and reporting of trials. Meta-analyses of existing data, to =
provide reliable evidence on treatment efficacy and to identify key =
research questions, will also be undertaken.
A good class degree in statistics or other numerate discipline is =
essential. Applicants should also have a postgraduate qualification, or =
at least 2 year's experience in applied statistics along with strong =
statistical and computing skills, a sound knowledge of statistical =
packages (preferably SAS), good attention to detail, the ability to work =
both independently and as part of a team, the ability to communicate =
statistical issues to non-statisticians and a desire to develop skills =
in applied medical statistics. Ideally, the Unit would like to appoint a =
statistician with previous experience of 'real-life' clinical trials and =
meta-analysis; however, candidates with less experience but with the =
potential to develop into high-class trial statisticians will also be =
considered.
Further information about BCTU and this vacancy can also be found on the =
BCTU website www.bctu.bham.ac.uk <http://www.bctu.bham.ac.uk/> . =
Informal enquires can be made to Professor Keith Wheatley on +44 121 687 =
2310 or [log in to unmask] <mailto:[log in to unmask]> =20
Starting salary for Medical Statistician =A319,460 - =A329,128 a year. =
Starting salary for Senior Medical Statistician =A327,116 - =A329,128 a =
year.Starting salary depends on qualifications and experience. The post =
is available until 31 March 2007 in the first instance. Interviews will =
be held on Wednesday 31 August 2005.
Applications forms (returnable by 15th August 2005) and details from =
Personnel Services, The University of Birmingham, Edgbaston, Birmingham =
B15 2TT. Tel: 0121 415 9000, web: www.personnel.bham.ac.uk/vacancies/=20
Please quote Ref: M39384
A University of Fairness and Diversity.
=20
=========================================================================
Date: Wed, 27 Jul 2005 09:16:05 -0400
Reply-To: alan tennant <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: alan tennant <[log in to unmask]>
Subject: Rasch Analysis WORKSHOPS
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Content-Disposition: inline
Allstat members,
A number of workshops introducing Rasch analysis are available at the
Psychometric Laboratory, Academic Unit of Musculoskeletal Disease,
University of Leeds.
Introduction to Rasch Analysis
A workshop to introduce Rasch analysis. It will suit those working in the=
measurement of outcomes in the health sciences, of attitudinal data in th=
e
social sciences, in educational testing or, for example, statisticians
supporting this type of work. It will take the form of hands-on tuition i=
n
using the Rasch Unidimensional Measurement Models (RUMM2020) software
package. At the end of the two-and-a-half days workshop students should
understand and be able to analyse data, using RUMM2020, for:
" Internal construct validity (Unidimensionality);
" Category probability patterns for polytomous items;
" Differential Item Functioning;
" Scaling Characteristics.
Intermediate Rasch analysis.
This workshop will look at more advance topics using the RUMM2020 softwar=
e,
and will include issues of pooling data from international studies, linki=
ng
scales and writing a Rasch paper. Students should have completed the
introductory course, or have experience with RUMM software.
At the end of this workshop, students should be able to:
" Adjust estimates of patient ability (or trait) for cross-cultural=
differences in outcome measures (to facilitate pooled data in internation=
al
studies).
" Conduct multi-faceted Rasch analysis =
" A brief comparison with WINSTEPS software
" Write a good Rasch paper. =
Advanced Workshop.
This workshop will concentrate of substantive methodological issues using=
a
range of software, and will include simulation of data, issues in
developing item banks, Computer Adaptive Testing and the exploration of
alternative approaches, e.g. unfolding models.
At the end of this workshop, students should be able to:
" Simulate data to meet the requirements of different types of Item=
Response Theory (IRT) Models.
" Establish an item bank =
" Develop Computer Adaptive Testing (CAT) algorithms.
" Understand the potential for unfolding models. =
Course Date Price, including two nights accommodation=
=
Price, with accommodation and software
Introduction September 14-16th 2005 =A3650 =A31050=
Intermediate September 19-21st 2005 FULL FULL
Advanced September 22nd-23rd =A31000 =
=A31400
Introduction December 14-16th 2005 =A3650 =A31050=
Intermediate December 19-21st 2005 =A31000 =A31400=
Introduction March 8th -10th 2006 =A3650 =
=A31050
Introduction May 17th-19th 2006 =A3650 =
=A31050
Intermediate May 22nd-24th 2006 =A31000 =
=A31400
Advanced May 25th-26th 2006 =A31000 =
=
=A31400
Introduction September 13th-15th 2006 =A3650 =
=A31050
Intermediate September 18th-20th 2006 =A31000 =
=A31400
Advanced September 21st-22nd 2006 =A31000 =
=
=A31400
Introduction December 13th-15th 2006 =A3650 =A31050=
Contact [log in to unmask] =
for registration
also, check out our web site at:
http://home.btconnect.com/Psylab_at_Leeds/
=========================================================================
Date: Wed, 27 Jul 2005 14:19:03 +0100
Reply-To: Natalie Maunders <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Maunders <[log in to unmask]>
Subject: JOB: STATISTICIAN
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Statistician
=A320,378 - =A327,891 plus Location Allowance
Epidemiology Unit, Oxford
Full Time, fixed-term contract until 31st March 2009=20
=20
The vision of Cancer Research UK is to conquer cancer through world-
class research. We are the world's leading independent organisation
dedicated to cancer research, spending =A3213m a year on research into
treating, preventing and curing cancer.
=20
We are looking for a statistician to work with the unit scientists
and senior statisticians in devising and implementing appropriate
methods for the analysis of data arising from both the Million Women
Study and the EPIC study. This is a fixed term post to 31st March
2009.
=20
The postholder will have either a first degree with a substantial =
statistical=20
content or an MSc in Statistics (preferably medical statistics), will be =
fluent=20
in study design and analysis methods and be computer-literate, including =
being familiar with statistical analysis software.
=20
To apply, please send two copies of both your CV and covering letter,=20
quoting reference 2087, to Resourcing, PO Box 123, London,=20
WC2A 3PX or email: [log in to unmask]
=20
Closing date: 9th August 2005.
=20
For further information, please visit www.cancerresearchuk.org/aboutus/ =
<http://www.cancerresearchuk.org/aboutus/> and click on Jobs.
=20
A culture of diversity. A focus on success.=20
=========================================================================
Date: Wed, 27 Jul 2005 16:45:33 +0100
Reply-To: Marc Saunders <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Marc Saunders <[log in to unmask]>
Subject: SAS & Oracle Clinical Programming roles
Dear all
Please find below 3 jobs we are currently resourcing for our clients in
Europe.
Position: Senior Statistical SAS Programmer
Job Type: Permanent or 12 month contract
Location: Germany, near Stuttgart
My client is a leading pharmaceutical company. They are establishing their
Statistical Programming Team, looking for experienced / Senior Statistical
SAS Programmers who will plan and lead project activities for data
reporting. The candidates will have responsibility for ensuring analysis
data and programming code meet regulatory and company standards and are
consistently structured to ensure efficient programming and reporting.
Requirements:
-minimum of 3-5 years hands-on SAS programming experience in the
pharmaceutical industry (including the ability to use and develop advanced
SAS macros)
-BSc in computing, life sciences, mathematical or statistical subject
-good understanding of different phases and types of clinical trial
reporting and the goals of reporting clinical data
-excellent organisational and analytical skills and good attention to detail
-excellent communication skills
For the above role please call the following or email to
[log in to unmask]
Gyorgy Barna Mucsy
Pharma Resource Consultant
Square One Pharma Resources
0207 208 2848
Position: Senior SAS Programmer
Job Type: Permanent
Location: Holland
Our client, a Major Pharmaceutical Company are looking for a Senior SAS
programmer to work in their office in Holland. You will report into the
Head of Programming and Application Support and will work alongside Senior
Clinical Programmers, Database Administrators, and Application
Administrators.
Your responsibility will be to create programs and output for data
management and Biostatistics for validation of data, for non statistical
contributions of integrated study reports and for other programming
requests and Data sets for statistical analysis.
You will need to hold an Academic degree (HBO, Bachelor or Master) in beta
science, good understanding of and interest in database structures and
programming knowledge of relevant standards for clinical studies both
external (e.g. ICH-GCP) and internal (e.g. ClinSOP), English language (oral
and in writing) and at least 3 yrs of relevant work experience. More
information available on application.
For the above role please call the following or email to:
[log in to unmask]
David Gilchrist
Pharma Resource Consultant
Square One Pharma Resources
0207 208 2848
Position: Oracle Clinical Programmer
Job Type: 12 month Contract
Location: Holland
Our Client, a Major pharmaceutical company, headquartered in Holland, are
looking for an Oracle Clinical Programmer to work with them in their Dutch
office to help with an increasing workload in the biometrics department.
The role will be for 3 months, and will require you to have at least 3
years experience in Oracle Clinical Programming. You will need to be
willing to work in Holland for the duration of this contract.
For the above role please call the following or email to:
[log in to unmask]
David Gilchrist
Pharma Resource Consultant
Square One Pharma Resources
0207 208 2848
The information in this email is confidential and may be legally privileged
for use by the addressee only. If you are not the intended recipient, you
must not use, disclose, distribute, copy, print or rely on this message.
Please notify the sender by return email and then delete the message from
your computer. Square One Resources Limited accepts no responsibility for
changes made to this message after it was sent Although this email and any
attachments are believed to be free of any virus, or any other defect which
might affect any computer or IT system into which they are received and
opened, it is the responsibility of the recipient to ensure that they are
virus free and no responsibility is accepted by Square One Resources
Limited for any loss or damage arising in any way from receipt or use
thereof. Any opinions or advice contained in this email are not necessarily
those of Square One Resources Limited
=========================================================================
Date: Wed, 27 Jul 2005 14:49:33 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: Online course - Modeling Longitudinal and Panel Data,
Aug. 5 - Sept. 2
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Dr. Joseph Hilbe will be giving his online course "Modeling
Longitudinal and Panel Data" at statistics.com August 5 -
September 2, 2005. This course covers the extension of
Generalized Linear Models (GLM) to model varieties of
longitudinal and clustered data, called panel data.
Specifically, the course treats generalized estimating
equations (GEE), a population averaging method that models
panel data in which the response is a member of the
exponential family of distributions; e.g., continuous,
binary, grouped, and count. GEE is one of several methods
used to model panel data --- the most noted alternative
being random effect models. The course will discuss GEE
theory, relevant correlation structures, and differences in
both theory and application between population averaging
GEE (PA-GEE) and random effects or subject specific panel
models (SS-GEE). Dr. Hilbe, the co-author of "Generalized
Estimating Equations," is also the software reviews editor
for "The American Statistician."
This course covers model construction, how to estimate the
equations, different types of models, how to deal with
missing data, testing of models, model assumptions, and
more. Familiarity with GLM (Generalized Linear Models) is
a prerequisite.
As with all online courses at statistics.com, there are no
set hours when participants must be online, and you can
interact with the instructor over a period of 4 weeks via a
private discussion board. Course work requires about 10
hours per week.
Register at:
http://www.statistics.com/content/courses/longitudinal/index.html
Peter Bruce
[log in to unmask]
=========================================================================
Date: Thu, 28 Jul 2005 08:55:11 +0100
Reply-To: Neil Walker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neil Walker <[log in to unmask]>
Subject: JOB:Post-Doc position in Ecological Statistics based in Trentino,
Italy
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Dear Allstat,
Post-Doc opportunity for Ecological Statistician working at Centro Ecologia
Alpina (CEA) in Trentino, Italy.
Applications are invited for a Post-Doc position to be based at the Centre
of Alpine Ecology in Trentino in the Italian Alps. This will be in
collabration with Central Science Laboratory in York, UK. The post will
involve integrating information collected locally on population density of
(i) roe deer and (ii) voles to assist in the understanding of the
Epidemiology of tick-borne diseases. Both the roe deer and vole have been
identified as key hosts in the life cycle of ticks. The central problem will
be to reconcile the field information on roe deer and voles, collected at
different spatial scales, in the construction of a disease risk map.
Abundance of the respective populations will be estimated using Distance
Sampling methodology.
This would be ideal for someone with a PhD, or expecting to graduate with a
PhD in the next 6 months, in Ecological Statistics and experience of
population analysis would be desirable. The latest date for application to
Trentino authority is 30 September, but early applications are encouraged.
Post would start in 2006 and be funded for 3 years.
For further details, please contact either Dr Francesca Cagnacci at CEA
([log in to unmask]), or Neil Walker at Central Science Laboratory
([log in to unmask]).
best wishes,
Neil Walker
=========================================================================
Date: Thu, 28 Jul 2005 09:30:44 +0100
Reply-To: Hotmail <[log in to unmask]>
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From: Hotmail <[log in to unmask]>
Subject: How to specify the factor in STATA under Generalised Linear Model?
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Dear All:
=20
When I use GLM command to do data anlysis in STATA, I want to =
specify some independent variables as factor. But I did not find out in =
options of GLM.
Could you give a hand?
Thank
Jason
=========================================================================
Date: Thu, 28 Jul 2005 09:00:29 +0000
Reply-To: [log in to unmask]
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From: Anthony Rodriguez <[log in to unmask]>
Subject: Likert-type scales
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Dear Allstaters,
It appears there are differences of opinion on whether parametric or non-parametric tests can be used for a survey instrument using a Likert-type scale.
Comments?
Tony
([log in to unmask])
=========================================================================
Date: Thu, 28 Jul 2005 10:39:02 +0100
Reply-To: Mike Procter <[log in to unmask]>
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From: Mike Procter <[log in to unmask]>
Subject: Re: Likert-type scales
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Strictly speaking a single Likert item is measured at the ordinal level, so
you ought to use noon-parametric procedures. However, in practice we
usually start by combining several items into a scale, generally by adding
them. Having treated the data inn this way, there seems to be no good
reason for not continuing, and with reasonable sample size most "parametric"
procedures are robust.
I don't remember the details, but the scaling method described by Likert (in
about 1936) used quite an elaborate model to estimate the true item category
boundaries, but it was found empirically that just adding 5y3 bite scores
(having reversed any with a negative meaning) gave essentially the same
results.
----- Original Message -----
From: "Anthony Rodriguez" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Thursday, July 28, 2005 10:00 AM
Subject: Likert-type scales
> Dear Allstaters,
>
> It appears there are differences of opinion on whether parametric or
> non-parametric tests can be used for a survey instrument using a
> Likert-type scale.
>
> Comments?
>
> Tony
> ([log in to unmask])
>
=========================================================================
Date: Thu, 28 Jul 2005 03:51:28 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
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From: Indrajit Sengupta <[log in to unmask]>
Subject: Thanks
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Thanks to all of those who answered my query on non
normal data. I guess I will have to go back to the
original data set and find out what is causing all the
bimodality.
Indrajit
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Date: Thu, 28 Jul 2005 11:52:18 +0000
Reply-To: Paul Fenner <[log in to unmask]>
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From: Paul Fenner <[log in to unmask]>
Subject: Re: Kaplan-Meier Sample Size
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I have used the Kaplan-Meier test to analyse bond strengths for 3 different
adhesive systems with 30 bonds in each system, and subsequently a log-rank
test to compare the failure curves. I need to calculate the power of this
test before I can carry out further experiments. The only information I can
find on power / sample size calculations for this type of experiment is in
the medical literature and seems to relate to only two treatments and where
the end point is that a specified number of samples (patients) do not fail
which is not the case in this experiment as every bond fails.
I would be grateful for any advice or references on how to approach this
problem.
Many thanks.
Paul
_________________________________________________________________
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Date: Thu, 28 Jul 2005 13:40:30 +0100
Reply-To: John Duffy <[log in to unmask]>
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From: John Duffy <[log in to unmask]>
Subject: Multi-level model
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Hi -=20
=20
I wonder if anyone knows how the residuals in MLWin for a multi-level
model of proportions relate to the fixed effects analysis?
=20
More specifically -=20
=20
I have proportions arising from individual data which I have grouped
into a two-way table of proportions. One dimension of the table is the
'clustering' or random effects factor, the other dimension is a (fixed)
attribute of the individuals.
=20
The MLWin analysis gives me more or less what I expected from a
previous fixed effects GLM analysis, except that the CIs associated with
the residuals for the clustering factor from the MLWin output seem much
narrower than I would have expected from the effect sizes for the same
factor in the fixed effects analysis and the estimated variance
component.
=20
If the answer is RTFM - which pages?
=20
Thanks
=20
-John
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Date: Thu, 28 Jul 2005 14:46:51 +0100
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A very big thank you to all the delegates at the PSI Conference who left=20
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You have raised =A3250 for Cancer Research.
Kind Regards
Natalie Fforde
Natalie Fforde
Managing Director
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Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
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Date: Thu, 28 Jul 2005 15:50:17 +0100
Reply-To: Ann E Fitzmaurice <[log in to unmask]>
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From: Ann E Fitzmaurice <[log in to unmask]>
Subject: poisson regression
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Can anyone advise how to carry out poisson regression in spss version 13
The commands in stata are
xi:poisson v209 wlthind5
predict gfr_ses, ir
regards
ann
Ann E Fitzmaurice
Medical Statistician
Dugald Baird Centre
University of Aberdeen
Aberdeen
01224 553876
University of Aberdeen Open Day - Tuesday 23rd August 2005
For more information visit our website <http://www.abdn.ac.uk/openday>
www.abdn.ac.uk/openday or freephone 0800 027 1495
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Date: Thu, 28 Jul 2005 16:24:45 +0100
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From: Jan vanderMeulen <[log in to unmask]>
Subject: Job in London: Research Fellow in Health Services Research
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London School of Hygiene & Tropical Medicine
Health Services Research Unit
Department of Public Health and Policy
=20
Research Fellow in Health Services Research
=20
We are seeking an enthusiastic researcher to join the Health Services =
Research Unit to work on a project to evaluate the routine use of =
Patient-Reported Outcomes (PROMS) in elective surgery. This post provides =
an excellent opportunity for the successful applicant to be involved in a =
high profile national study. The post is full-time for one year.
=20
The study is a collaboration between the School and the Royal College of =
Surgeons of England and is funded by the Department of Health. The post =
will involve coordinating and liaising with participating centres to =
ensure high quality data acquisition, testing methods for collecting =
patient-reported outcome measures, carrying out analyses, and writing the =
reports.
=20
Applicants must have an MSc or PhD in health services research, epidemiolog=
y, psychology, or a related discipline. They should have excellent =
communication skills, the ability to work independently, and have some =
experience of primary data collection.
=20
The salary will be on the Research Fellow scale =A324,536 - =A332,023 per =
annum inclusive, depending on qualifications and experience.
=20
Further details of the post and how to apply are available from the =
Personnel Office at the London School of Hygiene and Tropical Medicine, =
Keppel Street, London, WC1E 7HT (telephone: 020 7927 2203; fax: 020 7636 =
4771; e-mail: ). Please quote reference JB1.
=20
The closing date for application is 12th August 2005. Interviews will be =
held on 18th August 2005.
=20
The London School of Hygiene & Tropical Medicine is committed to being an =
equal opportunities employer.
=========================================================================
Date: Thu, 28 Jul 2005 17:44:36 +0100
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From: Kerenza hood <[log in to unmask]>
Subject: Job: research associate, Cardiff
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If you want further information on this post, please do not reply to me as =
I am off on holiday and won't be much help!!
Research Associate
Department of General Practice
Centre for Health Sciences Research
This is an exciting opportunity to work on a systematic review of =
different methods of data collection. It will involve appraising =
literature and synthesising evidence using statistical modelling from =
across a number of disciplines including health, psychology, business and =
social sciences.
You should be a team player with good organisational skills, and have =
experience of critically appraising literature and in conducting multivaria=
te analysis.
This post is fixed-term for 12 months
Salary: =A319460 - =A329128 per annum
For an informal discussion, please contact Mike Robling on=20
Tel: 029 20744141, or by email at [log in to unmask]
Vacancy number: 0539
Closing date: 18 August 2005
For an application pack, please contact the Human Resources Directorate on =
Tel: (029) 2087 4017, or visit our vacancy webpage at www.cardiff.ac.uk/sch=
oolsanddivisions/divisions/humrs/jobs
Dr Kerenza Hood
Senior Lecturer in Statistics
Department of General Practice
School of Medicine
Cardiff University
Cardigan House
University Hospital Wales
Heath Park
Cardiff
CF14 4XN
Tel: 029 20748936 (direct)
Fax: 029 20743833
=========================================================================
Date: Fri, 29 Jul 2005 14:31:37 +1200
Reply-To: Guy Forrester <[log in to unmask]>
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From: Guy Forrester <[log in to unmask]>
Subject: Under dispersion (repeat from Sept. 2001)
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Dear All
In September 2001, I posted the message below concerning under dispersion =
in Poisson GLMs. A number of you kindly replied but you must have replied =
directly to me and not to the list as I can only find my original message =
in the archives. If any one can remember that far back, or has any =
further suggestions, I would be grateful.
Many thanks in advance
Guy
*---ORIGINAL MESSAGE FROM 2001
Dear All,
I'm carrying out some poisson GLMs on the number of eggs from starling
nests and want to know if there are any significant differences in the
mean number of eggs each year.
Ideally in poisson models one would want the residual deviance to be
close to the residual df indicating correct specification of the Poisson
model.
Usually in biological situations the residual deviance is much greater
than the residual df and this can be got round by estimating a dispersal
parameter from the data.
However, in this case I have the residual deviance/df ratio of 0.148
This affects the significance of terms in my final model as error bars
on the predicted means are considerably smaller
Could any one offer any advice on which to use, is 'under dispersion' a
valid concept?
Many thanks in advance
Guy
--------------------------------------------------------
Guy J Forrester
Biometrician
Manaaki Whenua - Landcare Research
PO Box 69, Lincoln, New Zealand.
Tel. +64 3 325 6701 x3738
Fax +64 3 325 2418
E-mail [log in to unmask]
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Date: Fri, 29 Jul 2005 10:58:10 GMT0
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From: Patricia Crowley <[log in to unmask]>
Organization: Epidemiology & Public Health, UCL
Subject: new Insitute + lecture - Advanced Notice - 14 October
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ADVANCED NOTICE
The Launch of the UCL International Institute for Society and Health
and
The IHMEC/Lancet Lecture, by Dr Lee, Director General of WHO
London, Friday 14th October 2005
The afternoon of Friday 14th October (12.00 to 5.00 pm) will see the
launch of IISH at University College London. This will be followed by
the International Health and Medical Education Centre(IHMEC)/Lancet
Lecture, at 6.00 pm, at the nearby Institute of Education.
The IISH half day conference will bring together acclaimed
international speakers and internationally recognized researchers
from UCL, together with representatives from policy making
institutions from home and abroad.
Alongside both events there will be a research symposium, on the
mornings of Friday 14th and Saturday 15th October.
The complete programme and the registration deadline and details for
both events will be circulated in late August or early September. *
** Should you wish to receive more information on these events please
reply to this e-mail giving you full name (including title), postal
address and e-mail address.
UCL International Institute for Society and Health (IISH): 12.00 pm -
5.00 pm
The International Institute is a unique interdisciplinary
collaboration of leading academics working on health and society in a
global context. Its aim is to conduct research, to review evidence,
to advocate, and to develop action for improving the health of
populations globally, in developed and less developed countries. Its
mission is to take action on the social determinants of health, to
provide solutions to global health problems, and to improve the
health and well being of all, especially the poorest.
The Institute will link UCL's strengths in biotechnology and medicine
with the humanities and social sciences, in order to tackle the
problems of global health and will be guided by the core values of
Social Justice, Sustainable Human Development and Global Commitment.
The International Health and Medical Education Centre/Lancet Lecture
2005: 6.00 - 7.30 pm
This year's lecture will follow on from the successful events of the
past four years, at which the speakers have been Clare Short, Jeffrey
Sachs, Vandana Shiva and Amartya Sen. This year we are delighted to
welcome the Director-General of the World Health Organization, Dr
Jong-wook Lee. Dr Lee took up the reins at WHO after three years as
Director of the Stop TB Department of WHO and was previously Director
of the WHO Global Programme for Vaccines and Immunization, and
Executive Secretary of the Children's Vaccine Initiative.
Full information will be posted at www.ucl.ac.uk/iish and
http://www.ihmec.ucl.ac.uk/ at a later date.
=========================================================================
Date: Fri, 29 Jul 2005 15:27:28 +0600
Reply-To: [log in to unmask]
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From: Roshini Sooriyarachchi <[log in to unmask]>
Subject: Short courses
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Could you please let me know of any advanced statistical analysis short
courses (2 - 4 weeks) in toxicology clinical trials to be held in the first
half of 2006. Thanks.
Roshini
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Date: Fri, 29 Jul 2005 11:46:10 +0100
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Subject: JOB: Statistician in Market Research - South Oxfordshire
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Statistician=20in=20Market=20Research
The=20MMR=20Group=20is=20a=20dynamic=20and=20highly=20successful=20full=20=
service=20market=20research=20company=20specialising=20in=20conducting=20c=
onsumer=20and=20sensory=20research=20on=20behalf=20of=20some=20of=20the=20=
worlds=20leading=20blue=20chip=20companies.=20The=20group=20consists=20of=20=
mmr=20research=20worldwide=20Ltd=20=20(which=20also=20includes=20a=20US=20=
office),=20Healthcare=20Research=20Worldwide=20Ltd,=20Qubiq-online=20and=20=
UKFS=20Ltd=20(UK=20fieldwork=20company).=20The=20group=20currently=20emplo=
ys=20over=2060=20staff,=204=20of=20whom=20are=20statisticians=20and=20has=20=
a=20combined=20turnover=20of=20approximately=20GBP=2010M.=20
Due=20to=20our=20growing=20success,=20we=20are=20seeking=20to=20increase=20=
the=20resources=20of=20our=20Data=20Analysis=20department=20with=20the=20e=
mployment=20of=20a=20statistician.
As=20a=20statistician=20across=20the=20MMR=20group=20you=20would=20be=20fu=
lly=20involved=20with=20project=20work=20from=20the=20inception=20of=20the=
=20project=20to=20its=20completion.=20The=20work=20is=20extremely=20varied=
=20and=20challenging=20providing=20the=20opportunity=20to=20use=20and=20de=
velop=20a=20wide=20range=20of=20statistical=20and=20mathematical=20tools.=20=
You=20will=20work=20closely=20with=20the=20research=20team=20and=20will=20=
also=20have=20the=20opportunity=20to=20deliver=20study=20results=20to=20ou=
r=20clients.=20Good=20communication=20skills=20are=20therefore=20essential=
.
You=20will=20have=20an=20MSc=20in=20Statistics/Biometry=20or=20a=20BSc=20w=
ith=20a=20minimum=20of=2075%=20statistics=20and=202-3=20years=20work=20exp=
erience=20in=20a=20statistical=20discipline=20.=20You=20will=20have=20expe=
rience=20of=20a=20variety=20of=20statistical=20techniques,=20preferably=20=
including=20multivariate=20analysis,=20experimental=20design=20and=20stati=
stical=20modelling.=20You=20will=20also=20be=20highly=20computer=20literat=
e=20with=20skills=20in=20Excel=20and=20statistical=20software=20(ideally=20=
SAS).
We=20offer=20a=20competitive=20salary=20and=20excellent=20benefits=20packa=
ge=20as=20well=20as=20the=20opportunity=20for=20exciting=20career=20progre=
ssion.=20
For=20further=20information=20about=20the=20post=20or=20the=20Company=20pl=
ease=20contact=20(in=20the=20first=20instance)=20the=20Head=20of=20Statist=
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st=20to=20Julie=20Woodward,=20MMR=20Research=20Worldwide,=20Wallingford=20=
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Date: Fri, 29 Jul 2005 12:29:11 +0100
Reply-To: Terry Flynn <[log in to unmask]>
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From: Terry Flynn <[log in to unmask]>
Subject: FOUR-YEAR PhD STUDENTSHIP IN HEALTH SERVICES RESEARCH - MRC HSRC
Bristol (re-advertisement)
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Apologies for cross-posting
----------------------------------
MRC HSRC
FOUR-YEAR PhD STUDENTSHIP IN HEALTH SERVICES RESEARCH
THIS IS A RE-ADVERTISEMENT.
PREVIOUS APPLICANTS FOR THE POSITION NEED NOT APPLY.
PLEASE NOTE THE ELIGIBILITY REQUIREMENTS ON THE HSRC WEBSITE
START October 2005 (possibly later subject to negotiation)
Closing date for applications is 31st August 2005
PROJECT TITLE:
"Using Stated Preference Discrete Choice Modelling to Determine Preferences
for Treatment of Prostate Cancer."
YOU SHOULD HAVE:
1. A degree in either:
* Economics (or an area of applied economics) or
* Psychology or
* Statistics
2. Excellent quantitative skills and enthusiasm for developing methods from
other disciplines.
DESIRABLE, BUT NOT ESSENTIAL ARE:
1. MSc in area that utilises quantitative methods in either:
* Preference elicitation (e.g. health/environmental/transport
economics) or
* Outcomes research (e.g. health psychology or medical statistics)
2. Interest in / experience of health sector
Funding is for four years and offers excellent opportunities for integrated
training and personal development. The post is ideal for either a person
with knowledge of discrete choice experiments / conjoint analysis who
wishes to move into health services research or a more general quantitative
health researcher who wishes to develop novel methods.
The PhD Project
Prostate cancer is a serious health problem, with 15,000 new cases every
year in the UK, and over 8,000 deaths. However, there is insufficient
knowledge about outcomes of the main treatments available. The ProtecT
study is a randomised controlled trial (RCT) to compare surgery (radical
prostatectomy), radiotherapy (radical conformal) and active monitoring
(monitoring with regular check-ups) in men aged 50-69 years old. The
principal outcomes of interest are general health, quality of life,
prostate cancer development, treatment outcome, length of life, and costs.
Full data on most outcomes will not be available for many years and it is
possible that no one treatment is unequivocally better than the others for
all outcomes of interest to patients. Furthermore, individual (or subgroups
of) patients may exhibit different preferences for outcomes. It is
therefore important to estimate the utility associated with important
aspects of treatment and establish how it varies across individuals. Stated
preference discrete choice modelling (SPDCM), (also called discrete choice
experiments and related to conjoint analysis), can address these issues by
enabling calculation of utilities for the characteristics of the three
treatments.
The work will involve a discrete choice experiment and will focus
particularly on methodological issues associated with SPDCM at the design
and analysis stages. The method of best-worst scaling (BWS) is the subject
of considerable research by the programme as a whole, given its desirable
statistical and cognitive properties. The PhD will benefit from this work
and enhance it by investigating the scope of BWS for estimating
interactions and patient-level preferences. Such data will be invaluable in
influencing policy and ensuring better individualisation of care.
Closing date for applications is 31st August 2005
For an informal discussion, please contact Terry Flynn,
[log in to unmask] or Joanna Coast, [log in to unmask]
For further details / application form, please contact the HSRC office 0117
928 7262 or email:- [log in to unmask], quoting ref: FLY01-05
All information and project details are available on our website:
http://www.hsrc.ac.uk
------------------------------
_______________________________________________________________
Terry N Flynn, PhD
Research Fellow,
MRC Health Services Research Collaboration,
Dept Social Medicine, University of Bristol,
Canynge Hall, Whiteladies Road,
Bristol BS8 2PR
Tel: +44 (0)117 928 7375
[log in to unmask]
http://www.hsrc.ac.uk/Contact/ext_staff_files/Terry_webpage.htm
_______________________________________________________________
=========================================================================
Date: Fri, 29 Jul 2005 17:09:17 +0100
Reply-To: "CfI - Charlett, Andre" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "CfI - Charlett, Andre" <[log in to unmask]>
Subject: JOB: Health Protection Agency, London
Comments: cc: "CfI - Kephalas, Maria" <[log in to unmask]>,
"CfI - Edmunds, John" <[log in to unmask]>
MIME-Version: 1.0
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Content-Type: text/plain; charset="iso-8859-1"
Health Protection Agency=0D=0A=0D=0AJob title: Mathe=
matical Modeller/Epidemiologist=0D=0A=0D=0ADivision: =
Centre for Infections=0D=0A=0D=0ADepartment: Statistics, =
Modelling and Bioinformatics=0D=0A =0D=0ASalary: =
=A324,599-=A326,466 (inclusive of London=0D=0Aweighting) =0D=0ADuration: =
One year fixed term contract=0D=0ALocation: =
Colindale, NW London=0D=0AHours: 37=
=2E5 hours per week=0D=0ARef: 648S023=0D=0A=
The Health Protection Agency (HPA) is an independent body that protects the=
=0D=0Ahealth and well-being of everyone in England and Wales=2E The Agency =
plays a=0D=0Acritical role in protecting people from infectious diseases an=
d in=0D=0Apreventing harm when hazards involving chemicals, poisons or radi=
ation=0D=0Aoccur=2E We also prepare for new and emerging threats, such as a=
bio-terrorist=0D=0Aattack or virulent new strains of pathogen=2E=0D=0AThe =
Centre for Infections at Colindale, NW London is an internationally=0D=0Are=
nowned centre of excellence for expertise, reference and research,=0D=0Asur=
veillance and epidemiology in relation to micro-organisms that affect=0D=0A=
human health=2E The modern purpose built centre is well equipped and staff=
ed=0D=0Aand provides excellent Library, Occupational Health and Refectory=
=0D=0Afacilities=2E There is also a Nursery on Site=2E=0D=0A=0D=0AWe are l=
ooking for an economist/epidemiologist with some infectious disease=0D=0Amo=
delling experience to join the Modelling and Economics Unit=2E The=0D=0Asuc=
cessful applicant will firstly estimate the burden of tuberculosis in=0D=0A=
England and Wales utilising models of tuberculosis transmission=2E The work=
=0D=0Awill then involve the use of epidemiological, mathematical and statis=
tical=0D=0Atools to investigate the impact of treatment, in various setting=
s and=0D=0Apatient groups, on the tuberculosis epidemic in the UK in order =
to estimate=0D=0Athe economic and public health outcomes of interventions=
=2E=0D=0A=0D=0AAs the national centre for monitoring human infectious disea=
ses, the Centre=0D=0Afor Infections provides access to key data sources, sc=
ientists and policy=0D=0Amakers and is an excellent place to conduct public=
health research that can=0D=0Ahelp shape policy both nationally and intern=
ationally=2E This one-year post=0D=0Atherefore provides an ideal opportunit=
y for a researcher at the post-doc=0D=0Alevel to establish themselves in th=
is field=2E=0D=0A=0D=0AApplicants should have a first degree with a substan=
tial science, economics=0D=0Aor statistics content=2E In addition, applican=
ts should possess an appropriate=0D=0Apostgraduate qualification, or 1 - 2 =
years relevant experience as an=0D=0Aeconomist, epidemiologist or statistic=
ian in a medical field, and have=0D=0Aexperience of major modelling or stat=
istical packages and of preparing=0D=0Ascientific papers and presentations=
=2E=0D=0A=0D=0AFor an application form and job description please apply by =
email to=0D=0Acfi=2Evacancies@hpa=2Eorg=2Euk <mailto:cfipersonnel@hpa=2Eorg=
=2Euk> or by enclosing a=0D=0Alarge s=2Ea=2Ee=2E to Human Resources, Centre=
for Infections, 61 Colindale Avenue,=0D=0ALondon NW9 5HT=2E =0D=0A=0D=0AR=
ef No: 648S023=0D=0AClosing date: 23rd August 2005 =
=0D=0AIn line with other NHS employers, this post is subject=
to a terms and=0D=0Aconditions review (Agenda for Change) =0D=0AThe Health=
Protection Agency is an equal opportunities employer=2E=0D=0A=0D=0AFor oth=
er employment opportunities, visit our website www=2Ehpa=2Eorg=2Euk=0D=0A=
=0D=0A-----------------------------------------=0D=0A**********************=
****************************************************=0D=0AThe information c=
ontained in the EMail and any attachments is confidential=0D=0Aand intended=
solely and for the attention and use of the named=0D=0Aaddressee(s)=2E It =
may not be disclosed to any other person without the=0D=0Aexpress authority=
of the HPA, or the intended recipient, or both=2E If you=0D=0Aare not the =
intended recipient, you must not disclose, copy, distribute or=0D=0Aretain =
this message or any part of it=2E This footnote also confirms that=0D=0Athi=
s EMail has been swept for computer viruses, but please re-sweep any=0D=0Aa=
ttachments before opening or saving=2E HTTP://www=2EHPA=2Eorg=2Euk=0D=0A***=
***********************************************************************=0D=
=0A
=========================================================================
Date: Fri, 29 Jul 2005 17:17:52 +0100
Reply-To: "CfI - Charlett, Andre" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "CfI - Charlett, Andre" <[log in to unmask]>
Subject: JOB: Health Protection Agency, London
Comments: cc: "CfI - Cable, Maureen" <[log in to unmask]>,
"CfI - Edmunds, John" <[log in to unmask]>
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset="iso-8859-1"
=0D=0AHealth Protection Agency=0D=0A=0D=0AJob title: Mathematical Modeller=
=0D=0A=0D=0ADivision: Centre for Infections=0D=0A=0D=0ADepartment: Statist=
ics, Modelling and Bioinformatics=0D=0A=0D=0ASalary: =A327,457-=A329,556 (=
inclusive of London weighting)=0D=0ADuration: 12 months' fixed term contr=
act =0D=0ALocation: Colindale, NW LONDON=0D=0AHours: 37=2E5 hours per =
week=0D=0ARef: 648S015=0D=0AThe Health Protection Agency (HPA) is an inde=
pendent body that protects the=0D=0Ahealth and well-being of everyone in En=
gland and Wales=2E The Agency plays a=0D=0Acritical role in protecting peop=
le from infectious diseases and in=0D=0Apreventing harm when hazards involv=
ing chemicals, poisons or radiation=0D=0Aoccur=2E We also prepare for new a=
nd emerging threats, such as a bio-terrorist=0D=0Aattack or virulent new st=
rains of pathogen=2E=0D=0AThe Centre for Infections at Colindale, NW London=
is an internationally=0D=0Arenowned centre of excellence for expertise, re=
ference and research,=0D=0Asurveillance and epidemiology in relation to mic=
ro-organisms that affect=0D=0Ahuman health=2E The modern purpose built cen=
tre is well equipped and staffed=0D=0Aand provides excellent Library, Occup=
ational Health and Refectory=0D=0Afacilities=2E There is also a Nursery on=
Site=2E=0D=0A=0D=0AWe are looking for an infectious disease modeller to jo=
in the Modelling and=0D=0AEconomics Unit to help develop and apply models o=
f HIV transmission in the=0D=0AUK=2E The work will involve the use of epide=
miological, mathematical and=0D=0Astatistical tools to investigate the impa=
ct of changes in migration patterns=0D=0Aon the HIV epidemic in the UK=2E T=
he ideal candidate will have a first degree=0D=0Ain a scientific/mathematic=
al subject and have an appropriate postgraduate=0D=0Aqualification with thr=
ee years relevant experience=2E They should have a=0D=0Abackground in math=
ematics, statistics or epidemiology and will also have=0D=0Asome experience=
of infectious disease modelling=2E =0D=0A=0D=0AThe Centre for Infections,=
based in North London, is the national centre for=0D=0Amonitoring human in=
fectious diseases=2E It therefore provides access to key=0D=0Adata sources,=
scientists and policy makers and is an excellent place to=0D=0Aconduct pub=
lic health research that can help shape policy both nationally=0D=0Aand int=
ernationally=2E This one-year post therefore provides an ideal=0D=0Aopportu=
nity for a researcher at the post-doc level to establish themselves=0D=0Ain=
this field=2E=0D=0A=0D=0AFor an application form and job description pleas=
e apply by email to=0D=0Acfi=2Evacancies@hpa=2Eorg=2Euk <mailto:cfipersonne=
l@hpa=2Eorg=2Euk> or by enclosing a=0D=0Alarge s=2Ea=2Ee=2E to Human Resour=
ces, Centre for Infections, 61 Colindale Avenue,=0D=0ALondon NW9 5HT=2E Pl=
ease quote the reference number=2E=0D=0A=0D=0ARef No: 648S015=0D=0AClosing=
date: 23rd August 2005 =0D=0AIn line with other NHS employers, this post i=
s subject to a terms and=0D=0Aconditions review (Agenda for Change) =0D=0AT=
he Health Protection Agency is an equal opportunities employer=2EFor other=
=0D=0Aemployment opportunities visit our website www=2Ehpa=2Eorg=2Euk=0D=0A=
=0D=0A-----------------------------------------=0D=0A**********************=
****************************************************=0D=0AThe information c=
ontained in the EMail and any attachments is confidential=0D=0Aand intended=
solely and for the attention and use of the named=0D=0Aaddressee(s)=2E It =
may not be disclosed to any other person without the=0D=0Aexpress authority=
of the HPA, or the intended recipient, or both=2E If you=0D=0Aare not the =
intended recipient, you must not disclose, copy, distribute or=0D=0Aretain =
this message or any part of it=2E This footnote also confirms that=0D=0Athi=
s EMail has been swept for computer viruses, but please re-sweep any=0D=0Aa=
ttachments before opening or saving=2E HTTP://www=2EHPA=2Eorg=2Euk=0D=0A***=
***********************************************************************=0D=
=0A
=========================================================================
Date: Sat, 30 Jul 2005 17:05:31 +0430
Reply-To: "Ali A. Bromideh" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Ali A. Bromideh" <[log in to unmask]>
Subject: Query: How to analysis a panel data.
MIME-Version: 1.0
Content-Type: text/plain; charset="windows-1256"
Content-Transfer-Encoding: 7bit
Dear Alstat!
I've been asked to share this question with the AllStat group. Please
reply if you have an idea in this regard.
Introduction and problem statement:
A researcher was interested in explanation of significant relationship
between four variables named Y (dependent) and X1, X2 and X3 (independents).
For 30 SMEs (Small/Medium Size Enterprise), he has collected data from
1999-2004. Now he wanted to analyze the data at hand. He has been asked to
use these techniques:
1- Put all data in a data set and regardless of time, run a "correlation
analysis." That means, for each company we will have 5 observation and total
sample size will be 5*30=150. In other words, he will calculate the
correlation coefficient between the variables.
2- Calculate the average for the five years for each variable and run a
correlation analysis, based on these averages. In other words, first he
reduces the data by taking mean value and then again a correlation analysis
(in this case N=30).
3- Use a dummy variable for time and then use advanced statistical
methodology, like Longititudinal or Panel data.
Question:
Would you explain a bit more about the pros and cons of the proceedings
methods, please?
Kind regards,
ALI
=========================================================================
Date: Sun, 31 Jul 2005 18:38:35 +0200
Reply-To: =?utf-8?B?16bXmdek15kg15XXk9eV15Mg16nXldeX15g=?=
<[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: =?utf-8?B?16bXmdek15kg15XXk9eV15Mg16nXldeX15g=?=
<[log in to unmask]>
Subject: Re: Query: How to analysis a panel data.
Comments: To: "Ali A. Bromideh" <[log in to unmask]>,
[log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: 7bit
This is a general observation:
When a client walks into my office, hands me a disk-on-key of data with the
instructions "please run three T-test and two Chi-square's" my first
inclination is to show him to the door.
After I count, slowly, till ten; I attempt to explain that if he would take
time to fully familiarize me with the research question, I would be able to
more fully assist. Usually it turns out that the preliminary analysis
requested is sub-optimal.
When I am on very good terms with said client, I suggest that seeking
statistical aid at the very onset of the research - when the study question
is first formulated and before any data have been collected; may serve to
advert future problems.
It never ceases to amaze me how little time of a research program is
actually spent on question formulation, yet countless examples exist of
serious people who spent large amounts of time and money answering the wrong
question.
Tzippy
----- Original Message -----
From: "Ali A. Bromideh" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Saturday, July 30, 2005 2:35 PM
Subject: Query: How to analysis a panel data.
> Dear Alstat!
> I've been asked to share this question with the AllStat group. Please
> reply if you have an idea in this regard.
>
> Introduction and problem statement:
> A researcher was interested in explanation of significant relationship
> between four variables named Y (dependent) and X1, X2 and X3
(independents).
> For 30 SMEs (Small/Medium Size Enterprise), he has collected data from
> 1999-2004. Now he wanted to analyze the data at hand. He has been asked to
> use these techniques:
> 1- Put all data in a data set and regardless of time, run a "correlation
> analysis." That means, for each company we will have 5 observation and
total
> sample size will be 5*30=150. In other words, he will calculate the
> correlation coefficient between the variables.
> 2- Calculate the average for the five years for each variable and run a
> correlation analysis, based on these averages. In other words, first he
> reduces the data by taking mean value and then again a correlation
analysis
> (in this case N=30).
> 3- Use a dummy variable for time and then use advanced statistical
> methodology, like Longititudinal or Panel data.
>
> Question:
> Would you explain a bit more about the pros and cons of the proceedings
> methods, please?
>
> Kind regards,
> ALI
>
=========================================================================
Date: Sun, 31 Jul 2005 22:41:29 +0100
Reply-To: Matthew Inglis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Matthew Inglis <[log in to unmask]>
Subject: Query: use of transforms with Between-Within ANOVAs
Mime-Version: 1.0 (Apple Message framework v733)
Content-Transfer-Encoding: 7bit
Content-Type: text/plain; charset=US-ASCII; delsp=yes; format=flowed
Hello,
Just a quick question about the use of transforms in between-within
ANOVAs. I have some data that fails to meet the Homogenity of
Variances requirement, so am wondering whether I ought to transform
the data in some way.
I am slightly concerned that using, for example, a log transform
could create artificial differences in the interaction effect.
Suppose, for example, I am comparing reaction times between young and
old people on several different tasks and want to know whether there
is an interaction between task version and age group. Presumably a
log transform is going to flatten the old people's reaction time
graph more than the young people's reaction time (since it is
higher). Couldn't this introduce a fake interaction?
In general, how is the use of such transforms regarded in between-
within ANOVAs?
Apologies if this question is very basic,
Matthew.
=========================================================================
Date: Mon, 1 Aug 2005 08:47:56 +0100
Reply-To: "Wise, Dr Lesley" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Wise, Dr Lesley" <[log in to unmask]>
Subject: QUERY: Web/distance learning statistics for epidemiology
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Can=20anyone=20recommend=20a=20web=20based=20or=20distance=20learning=20co=
urse=20in
statistics=20for=20epidemiologists=20suitable=20for=20someone=20with=20a=20=
basic
knowledge=20of=20statistics
Thank=20you
Lesley
Dr=20Lesley=20Wise
Senior=20Epidemiological=20Assessor
Pharmacoepidemiology=20Research=20Team
PLD
MHRA
1,=20Nine=20Elms=20Lane
London
SW8=205NQ
Direct=20Line:=20020=207084=202418
Fax:=20=20=20=20=20=20=20=20=20=20=20020=207084=202282
This=20email=20and=20any=20files=20transmitted=20with=20it=20are=20confide=
ntial.=20If=20you=20are=20not=20the=20intended=20recipient,=20any=20readin=
g,=20printing,=20storage,=20disclosure,=20copying=20or=20any=20other=20act=
ion=20taken=20in=20respect=20of=20this=20email=20is=20prohibited=20and=20m=
ay=20be=20unlawful.=20If=20you=20are=20not=20the=20intended=20recipient,=20=
please=20notify=20the=20sender=20immediately=20by=20using=20the=20reply=20=
function=20and=20then=20permanently=20delete=20what=20you=20have=20receive=
d.
Incoming=20and=20outgoing=20email=20messages=20are=20routinely=20monitored=
=20for=20compliance=20with=20the=20Department=20of=20Health's=20policy=20o=
n=20the=20use=20of=20electronic=20communications.=20For=20more=20informati=
on=20on=20the=20Department=20of=20Health's=20email=20policy,=20click=20her=
e:
http://www.doh.gov.uk/emaildisclaimer.htm
The=20original=20of=20this=20email=20was=20scanned=20for=20viruses=20by=20=
the=20Government=20Secure=20Intranet=20(GSi)=20virus=20scanning=20service=20=
supplied=20exclusively=20by=20Energis=20in=20partnership=20with=20MessageL=
abs.
On=20leaving=20the=20GSi=20this=20email=20was=20certified=20virus-free
=========================================================================
Date: Mon, 1 Aug 2005 09:55:01 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Query: sample size calculation for observational cohort studies
Comments: cc: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Dear allstaters,
>
>We are planning for a PhD research project based on an observational
>follow-up design. The working title is "A study to evaluate and identify
>measures of the quality of stroke care". The main objective is to identify
>the important structure and process variables of stroke care and to
>estimate their influence on outcome variables (e.g. survival, disability,
>handicap and so on). The previous studies show that the incidence of
>stroke in the study area is 24 per month. The drop out rate per year is
>15% and the case fatality rate (death rate) within one year is 36%.
>
>We are thinking to recruit patients over 2-years and to measure the
>related structure and process variables of stroke care. Then to follow
>them up for one year and to measure the outcome variables.
>
>I am familiar with the sample size calculation for clinical trials but not
>for observational cohort studies. Any help, suggestion or reference
>regarding the appropriate minimum sample size determination will be highly
>appreciated.
>
>Regards,
>J
>Research Fellow
My email address is: <mailto:[log in to unmask]>[log in to unmask]
=========================================================================
Date: Mon, 1 Aug 2005 12:56:50 +0100
Reply-To: "Nelder, John A" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Nelder, John A" <[log in to unmask]>
Subject: Re: allstat Digest - 30 Jul 2005 to 31 Jul 2005 (#2005-187)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Query 2: dont transform the data; use the modern technique of =
generalised linear models. This works well for reactions where the link =
(transform of the fitted value) is often the reciprocal. Use this with =
gamma errors.
________________________________
From: A UK-based worldwide e-mail broadcast system mailing list on =
behalf of allstat automatic digest system
Sent: Mon 01/08/2005 00:00
To: [log in to unmask]
Subject: allstat Digest - 30 Jul 2005 to 31 Jul 2005 (#2005-187)
There are 2 messages totalling 100 lines in this issue.
Topics of the day:
1. Query: How to analysis a panel data.
2. Query: use of transforms with Between-Within ANOVAs
----------------------------------------------------------------------
Date: Sun, 31 Jul 2005 18:38:35 +0200
From: =3D?utf-8?B?16bXmdek15kg15XXk9eV15Mg16nXldeX15g=3D?=3D
<[log in to unmask]>
Subject: Re: Query: How to analysis a panel data.
This is a general observation:
When a client walks into my office, hands me a disk-on-key of data with =
the
instructions "please run three T-test and two Chi-square's" my first
inclination is to show him to the door.
After I count, slowly, till ten; I attempt to explain that if he would =
take
time to fully familiarize me with the research question, I would be able =
to
more fully assist. Usually it turns out that the preliminary analysis
requested is sub-optimal.
When I am on very good terms with said client, I suggest that seeking
statistical aid at the very onset of the research - when the study =
question
is first formulated and before any data have been collected; may serve =
to
advert future problems.
It never ceases to amaze me how little time of a research program is
actually spent on question formulation, yet countless examples exist of
serious people who spent large amounts of time and money answering the =
wrong
question.
Tzippy
----- Original Message -----
From: "Ali A. Bromideh" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Saturday, July 30, 2005 2:35 PM
Subject: Query: How to analysis a panel data.
> Dear Alstat!
> I've been asked to share this question with the AllStat group. =
Please
> reply if you have an idea in this regard.
>
> Introduction and problem statement:
> A researcher was interested in explanation of significant relationship
> between four variables named Y (dependent) and X1, X2 and X3
(independents).
> For 30 SMEs (Small/Medium Size Enterprise), he has collected data from
> 1999-2004. Now he wanted to analyze the data at hand. He has been =
asked to
> use these techniques:
> 1- Put all data in a data set and regardless of time, run a =
"correlation
> analysis." That means, for each company we will have 5 observation and
total
> sample size will be 5*30=3D150. In other words, he will calculate the
> correlation coefficient between the variables.
> 2- Calculate the average for the five years for each variable and run =
a
> correlation analysis, based on these averages. In other words, first =
he
> reduces the data by taking mean value and then again a correlation
analysis
> (in this case N=3D30).
> 3- Use a dummy variable for time and then use advanced statistical
> methodology, like Longititudinal or Panel data.
>
> Question:
> Would you explain a bit more about the pros and cons of the =
proceedings
> methods, please?
>
> Kind regards,
> ALI
>
------------------------------
Date: Sun, 31 Jul 2005 22:41:29 +0100
From: Matthew Inglis <[log in to unmask]>
Subject: Query: use of transforms with Between-Within ANOVAs
Hello,
Just a quick question about the use of transforms in between-within=20
ANOVAs. I have some data that fails to meet the Homogenity of=20
Variances requirement, so am wondering whether I ought to transform=20
the data in some way.
I am slightly concerned that using, for example, a log transform=20
could create artificial differences in the interaction effect.
Suppose, for example, I am comparing reaction times between young and=20
old people on several different tasks and want to know whether there=20
is an interaction between task version and age group. Presumably a=20
log transform is going to flatten the old people's reaction time=20
graph more than the young people's reaction time (since it is=20
higher). Couldn't this introduce a fake interaction?
In general, how is the use of such transforms regarded in between-
within ANOVAs?
Apologies if this question is very basic,
Matthew.
------------------------------
End of allstat Digest - 30 Jul 2005 to 31 Jul 2005 (#2005-187)
**************************************************************
=========================================================================
Date: Mon, 1 Aug 2005 13:52:19 +0100
Reply-To: Steven G Gilmour <[log in to unmask]>
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From: Steven G Gilmour <[log in to unmask]>
Subject: JOB: PhD studentship (re-advertisement)
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Queen Mary, University of London
School of Mathematical Sciences
EPSRC CASE PhD Studentship
in collaboration with=20
Pfizer Global R&D
Bayesian design and analysis of small multifactor=20
industrial experiments
Applications are invited for a PhD studentship funded by the Engineering=20
and Physical Sciences Research Council and Pfizer Global R&D. Applicants=20
must be EU residents and should have a good first degree in a subject=20
containing a substantial amount of statistics and/or an MSc in Statistics.
The project is on the Bayesian design and analysis of factorial=20
experiments. The student will work mainly at Queen Mary, University of=20
London, under the supervision of Professor Steven Gilmour=20
(http://www.maths.qmul.ac.uk/~sgg), but will also spend approximately=20
three months at Pfizer in Sandwich, Kent (http://www.pfizer.co.uk), where=
=20
the industrial supervisor will be Phil Woodward.
A description of the project is given below. The studentship covers=20
tuition fees and, for UK residents only, living expenses of approximately=
=20
=A315,000 per annum (2004-05) rate. Funding is available from October 200=
5,=20
but a later starting date is also possible.
Project Description
-------------------
Multifactor designs, including fractional factorial and response surface=20
designs, are the most widely used statistical contribution to industrial=20
experimentation. They are used in many manufacturing and processing=20
industries, including the pharmaceutical industry, where they are used=20
both in pre-clinical research and in process improvement in manufacturing=
.=20
They are increasingly recognised by scientists and engineers as allowing=20
considerable information about the effects of several factors on the=20
response to be obtained with a relatively small number of runs.=20
Widely used classes of multifactor designs include two-level fractional=20
factorial design, three-level main effects designs and central composite=20
(and similar) designs. The use of a particular type of design depends on=20
how many factors are to be varied, how many levels each factor has, how=20
much resource is available and how much has to be learned about the=20
process under study. As in any other type of experiment, in the analysis=20
of data from multifactor experiments, account must be taken of nuisance=20
effects, such as block effects or time trend effects. At the design stage=
,=20
a design should be chosen to be as nearly orthogonal as possible to the=20
nuisance effects.
The aim of this project is to improve the guidance available to=20
experimenters in choosing a good design and in analysing data by using=20
Bayesian methods, for both the design and analysis, especially when there=
=20
is commercial pressure to minimise the size of the experiment. Fully=20
Bayesian methods are rarely used in multifactor experiments, although a=20
general setup for the analysis has been proposed by Nobile and Green=20
(2001). Ongoing work by a (non-EPSRC) PhD student supervised by S. Gilmou=
r=20
is exploring the use of Bayesian analyses for saturated and supersaturate=
d=20
designs, when no degrees of freedom are available for estimating nuisance=
=20
effects.
The methodology developed will be tested on historical data sets and will=
=20
be put into practice as and when opportunities arise in experimental work=
=20
at Pfizer.
If you are interested, please contact Steven Gilmour=20
([log in to unmask]) for further details.
--=20
Professor Steven G Gilmour
School of Mathematical Sciences
Queen Mary, University of London
Mile End Road
London E1 4NS
United Kingdom
Tel: +44 (0)20 7882 7833
Fax: +44 (0)20 8981 9587 (department fax, not private)
Web page: http://www.maths.qmul.ac.uk/~sgg
=========================================================================
Date: Mon, 1 Aug 2005 13:40:06 +0000
Reply-To: [log in to unmask]
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From: Nigel Marriott <[log in to unmask]>
Subject: QUERY : ANOVA Type I & III SS issues
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To Allstaters
I recently posted a query regarding cluster analysis of binary data for a project where I had been called in to rescue it. I subsequently came to the conclusion that no informative clustering of consumers could be achieved and started to analyse the data further with all consumers grouped together in one cluster.
I think all of us at some point in our statistical careers experience moments when we suddenly understand what we have been taught years ago. For me, the distinction between Type 1 and Type 3 SS was always one that I could understand theorectically but I never had an intuitive understanding of this point. In this project I think I have reached a point where the distinction will be become completely clear if you are to help me with this problem.
First, let me explain more about the background to the project. This involves a confectionery product where we know from past studies that consumer liking of the product will drop off well before the end of its shelf life. The project is to try and see if we can maintain liking over the shelf life by changing the product's ingredients and/or the process by which the product is made. To this end, 3 products were set up for consumer testing as follows
Std - Standard Ingredients & Manufacturing process
AltI - Alternative ingredients, Std Process.
AltP - Std Ingredients, Alternative Process.
Remember I said that I was called in afterwards to rescue a poor design. You can see from the above that there should have been a 4th product with alternative ingredients & process.
Each of these products were then consumer tested at 3 different ages namely at 8 weeks, 16 weeks and 24 weeks giving 9 tests in all. Unfortunately due to misunderstanding one of the tests was not done. Consumers were asked how much they liked the product on a 1-7 scale and a number of other questions. The average liking scores were as follows.
@8wks @16wks @24wks
Std 5.38 5.39 5.20
AltI 5.40 5.43 5.15
AltP 5.50 5.35 N/A
The mean square error was 1.50 on 1600 df.
As we can see, the liking is dropping off at 24 weeks but we are missing the AltP product. In the ANOVA for both Type I & III, the AgeXProduct interaction P-values were insignificant. Also the Product Type factor was not significant (Pvalues around 0.36).
However, and the point of this query, the P-values for the Age factor were very different depending on whether Type I or III SS is used.
F-stat P-Val
Type I SS 5.26 0.005
Type III SS 0.77 0.465
As you can see, a very different conclusion is made about the significance of the Age factor depending on which SS type is used. I suspect the missing data point is responsible for this. As I said before, I know what the theorectical difference is between Type I and III but I don't have an intuitive understanding of this. Any help you can give me on the reasons for the difference in results could lead me to say "AH-HA!".
Regards
Nigel Marriott
Senior Statistician R&D
-----------------------------------------
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Date: Mon, 1 Aug 2005 19:46:06 +0100
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From: Myo Kywe <[log in to unmask]>
Subject: Unscribe
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Dear Sir,
I would lik to unsubscribe my e-mail address.
Regards,
MK
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Date: Tue, 2 Aug 2005 10:08:55 +0530
Reply-To: anu <[log in to unmask]>
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From: anu <[log in to unmask]>
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Dear Sir,
I would like to unsubscribe my e-mail address.
Regards,
Anuradha
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Date: Tue, 2 Aug 2005 01:02:56 EDT
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Rossi Hassad <[log in to unmask]>
Subject: Faculty Attitudes Toward Statistics
Comments: To: [log in to unmask]
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Dear Colleagues:
I trust that you are enjoying the Summer, and would not mind taking a few
minutes off (before Thursday 4th August) to assist me with the pre-testing of
this instrument. Your responses and general feedback will be greatly appreciated.
The information collected at this stage is to improve and refine the
instrument only, and will not constitute study data for publication in any way. Please
send me your mailing address upon completion of the survey, and I will send a
$15 (fifteen dollar) Starbucks voucher, or a money order (toward the purchase
of a book or other professional material) to the first 10 respondents. We are
behind schedule, and are counting on your support.
http://www.courtpoint.com/pages/quiz/survey.shtml
Thanks,
Rossi Hassad, MPH, PhD
Assistant Professor
Social & Behavioral Sciences
Mercy College, New York, USA
=========================================================================
Date: Tue, 2 Aug 2005 08:37:31 +0100
Reply-To: K F Pearce <[log in to unmask]>
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From: K F Pearce <[log in to unmask]>
Subject: Cox Regression etc
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Hello everyone,
I am about to embark on a Cox Regression in SPSS. However, I have some
questions about the output. If we take the hypothetical data set below
Age sex time death
1.00 1.00 10.00 1.00
.00 1.00 12.00 .00
.00 .00 12.00 1.00
1.00 .00 21.00 .00
.00 1.00 45.00 1.00
.00 1.00 21.00 .00
.00 1.00 .00 .00
1.00 .00 2.00 .00
1.00 .00 1.00 .00
1.00 .00 4.00 1.00
1.00 .00 3.00 1.00
.00 .00 67.00 1.00
.00 1.00 33.00 1.00
.00 .00 21.00 1.00
.00 1.00 2.00 .00
1.00 .00 22.00 1.00
1.00 1.00 1.00 .00
1.00 .00 6.00 .00
1.00 .00 5.00 1.00
.00 .00 3.00 .00
.00 .00 2.00 1.00
.00 .00 7.00 .00
.00 1.00 55.00 1.00
1.00 1.00 3.00 1.00
1.00 1.00 1.00 .00
I have entered in the dialogue box that Sex and Age are the covariates,
'time' is the 'time' variable and 'status' is variable named death (with
'1' as the event).
I find in the output that 4 cases have been omitted. There is 1 case
omitted with 'non positive' time. What does this mean? There are 3
cases which have been omitted which are 'censored cases before the
earliest event in a stratum'...what does this mean? Hence the means
printed for sex and age are 0.381 and 0.429 respectively. I would be
grateful if you could tell me how these values have been evaluated.
Also (for another data set (where I run a Kaplan Meier analysis the
following message is printed:
>"A negative or missing value of dependent variable has been
encountered. KM
>will exclude such cases from analysis".
What does this mean?
The SPSS manuals do not seem to be very enlightening on this point.
Many thanks,
Kim
=========================================================================
Date: Tue, 2 Aug 2005 10:01:46 +0100
Reply-To: Steve Ferris <[log in to unmask]>
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<[log in to unmask]>
From: Steve Ferris <[log in to unmask]>
Subject: JOB: Statistician in Market Research - South Oxfordshire
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Apologies=20for=20resending=20this=20e-mail,=20there=20appeared=20to=20be=20=
some=20formatting=20problems=20with=20the=20previous=20e-mail.
Statistician=20in=20Market=20Research
The=20MMR=20Group=20is=20a=20dynamic=20and=20highly=20successful=20full=20=
service=20market=20research=20company=20specialising=20in=20conducting=20c=
onsumer=20and=20sensory=20research=20on=20behalf=20of=20some=20of=20the=20=
worlds=20leading=20blue=20chip=20companies.=20The=20group=20consists=20of=20=
mmr=20research=20worldwide=20Ltd=20=20(which=20also=20includes=20a=20US=20=
office),=20Healthcare=20Research=20Worldwide=20Ltd,=20Qubiq-online=20and=20=
UKFS=20Ltd=20(UK=20fieldwork=20company).=20The=20group=20currently=20emplo=
ys=20over=2060=20staff,=204=20of=20whom=20are=20statisticians=20and=20has=20=
a=20combined=20turnover=20of=20approximately=20GBP=2010M.=20
Due=20to=20our=20growing=20success,=20we=20are=20seeking=20to=20increase=20=
the=20resources=20of=20our=20Data=20Analysis=20department=20with=20the=20e=
mployment=20of=20a=20statistician.
As=20a=20statistician=20across=20the=20MMR=20group=20you=20would=20be=20fu=
lly=20involved=20with=20project=20work=20from=20the=20inception=20of=20the=
=20project=20to=20its=20completion.=20The=20work=20is=20extremely=20varied=
=20and=20challenging=20providing=20the=20opportunity=20to=20use=20and=20de=
velop=20a=20wide=20range=20of=20statistical=20and=20mathematical=20tools.=20=
You=20will=20work=20closely=20with=20the=20research=20team=20and=20will=20=
also=20have=20the=20opportunity=20to=20deliver=20study=20results=20to=20ou=
r=20clients.=20Good=20communication=20skills=20are=20therefore=20essential=
.
You=20will=20have=20an=20MSc=20in=20Statistics/Biometry=20or=20a=20BSc=20w=
ith=20a=20minimum=20of=2075%=20statistics=20and=202-3=20years=20work=20exp=
erience=20in=20a=20statistical=20discipline=20.=20You=20will=20have=20expe=
rience=20of=20a=20variety=20of=20statistical=20techniques,=20preferably=20=
including=20multivariate=20analysis,=20experimental=20design=20and=20stati=
stical=20modelling.=20You=20will=20also=20be=20highly=20computer=20literat=
e=20with=20skills=20in=20Excel=20and=20statistical=20software=20(ideally=20=
SAS).
We=20offer=20a=20competitive=20salary=20and=20excellent=20benefits=20packa=
ge=20as=20well=20as=20the=20opportunity=20for=20exciting=20career=20progre=
ssion.=20
For=20further=20information=20about=20the=20post=20or=20the=20Company=20pl=
ease=20contact=20(in=20the=20first=20instance)=20the=20Head=20of=20Statist=
ics,=20Steve=20Ferris,=20tel=20:=2001491=20822506,=20email=20:=20s.ferris@=
mmr-research.com.
To=20apply=20please=20send=20your=20CV=20and=20covering=20letter=20by=20po=
st=20to=20Julie=20Woodward,=20MMR=20Research=20Worldwide,=20Wallingford=20=
House,=20High=20Street,=20Wallingford,=20OX10=200DB,=20or=20by=20email=20t=
[log in to unmask]
Steve=20Ferris
Head=20of=20Statistics
mmr=20-=20making=20more=20of=20research
=20
t:=20+=2044=20(0)=201491=20824999
f:=20+=2044=20(0)=201491=20824666
e:[log in to unmask]
=20
<http://www.mmr-research.com/>
_______________________________________________________________________
This=20e-mail=20message=20may=20contain=20privileged=20or=20confidential=20=
information.=20If=20you=20are=20not=20the=20intended=20recipient=20of=20th=
e=20e-mail,=20please=20inform=20the=20sender=20and=20then=20delete=20the=20=
message=20-=20you=20should=20not=20use,=20copy,=20retain=20or=20disseminat=
e=20the=20contents=20of=20the=20message.
All=20information=20and=20opinions=20expressed=20in=20this=20e-mail=20do=20=
not=20necessarily=20reflect=20the=20views=20and=20opinions=20of=20MMR=20or=
=20any=20companies=20within=20the=20MMR=20group.
This=20e-mail=20has=20been=20scanned=20for=20all=20viruses=20by=20Star=20I=
nternet.=20The=20service=20is=20powered=20by=20MessageLabs.
_______________________________________________________________________
=========================================================================
Date: Tue, 2 Aug 2005 10:40:35 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
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<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Courses September-October 2005
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We are announcing four courses, which are scheduled to take place in
September and October 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or
email [log in to unmask]
Microsoft Access for Data Management: A Hands-on Approach
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 19-21 September 2005. Duration: 3 days. Price: 245 GBP per day;
690 GBP for all 3 days.
This course is about taking full advantage of Microsoft Access. People who
deal with large volumes of data, data with complex structures, who need to
ensure quality control, data integrity, and who need to manage data
efficiently, use database management systems. One of the most commonly
used is Microsoft Access.
If you deal with large or complex datasets; if you are looking to improve
the quality of your data; if you want to save time and effort in the long
term - then this course is for you.
Good Tables with Microsoft Excel, and more
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 22-23 September 2005. Duration: 2 days. Price: 245 GBP for 1 day;
460 GBP for both days.
Tables are a very useful tool for summarising large amounts of data both at
the exploratory and presentation stage.
Excel's extensive facilities for tabulation are called Pivotal Tables, built
by a Wizard, interactively customised and dynamically linked to pivot
charts. This course explains the construction and manipulation of pivot
tables. An optional second day takes tabulation further by adding many
common topics needed for survey data. This makes use of the Instat+
statistical package, which is freely available to course participants.
A Review of Basic Statistics
^^^^^^^^^^^^^^^^^^^^^^^
Dates: 3-4 October 2005. Duration: 2 days. Price: 460 GBP (Fee of 690
GBP for attending this course together with Regression Analysis: A Hands-
on Approach (3-5 October)).
This course builds up the basic ideas of statistics systematically and
quickly. It provides an introduction to methods of summarising and
presenting data, estimation, confidence intervals and hypothesis testing.
Mathematical details will be kept to a minimum. A wide choice of
statistical software is available for practical work.
Regression Analysis: A Hands-on Approach
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 5 October 2005. Duration: 1 day. Price: 245 GBP.
(Fee of 690 GBP for attending this course together with A Review of Basic
Statistics (3-5 October)).
Regression is a powerful technique for studying relationships between
quantitative variables. Summarising relationships by the most appropriate
equation (modelling) is very quick when using a statistical package. It is
also easy to progress from basic models to more complex situations, such as
comparison of regressions.
This course gives a practical introduction to regression techniques.
=========================================================================
Date: Tue, 2 Aug 2005 11:24:28 +0100
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: Biostatistician required in the North
=?iso-8859-1?Q?=A324-=A332?= K (Neg)
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Good morning,=20
Our client, a CRO based in the North are seeking a Project Statistician =
to join them on a permanent basis to assist in the preparation=20
of statistical output for Biometric reports for pharmaceutical =
companies. There is opportunity for training and development for more =
junior members of staff and, for more experienced members of staff, =
opportunity to work alongside the management to contribute to the =
strategy of the company.
JOB TITLE - Project Statistician
REPORTS TO: Statistics Manager
EXPERIENCE: 6 months - 6 years in a CRO or pharmaceutical environment. =
Experience of reporting in SAS is essential.
Some Phase 1 work preferred although not essential
SALARY: =A324K-=A332K per annum (negotiable)
WORKS CLOSELY WITH: Statistics Manager, Principal Statistician, Senior =
Project Statistician, SAS Programmers, Statistics QC, Auditors,=20
Data Management, IT and QA Groups.
OVERALL PURPOSE: Assists the Senior Project Statisticians and is =
responsible for the timely, reliable, and appropriate processing of =
statistical=20
evaluation for projects completed by the company, and for output for =
clinical data supplied electronically by Clients, according to ICH GCP, =
SOP's=20
and client instructions. Additional responsibilities include providing =
statistical expertise for Clients and contributing to SAS programming.
Please send CV's to Helena at [log in to unmask] or call =
01438 743047 for a confidential discussion.
Kind regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please visit our website at www.ckclinical.co.uk
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Tue, 2 Aug 2005 11:35:15 +0100
Reply-To: rossella lo conte <[log in to unmask]>
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<[log in to unmask]>
From: rossella lo conte <[log in to unmask]>
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Please Sir/Madam, take my name out of the list.
Thansk.
Rossella Lo Conte
MSc by Research student (Oct 2004 - Sept 2005)
Department of Statistics
University of Glasgow
University Gardens
Mathematics building
Hillhead, Glasgow G12 8QW
[log in to unmask]
Tel: +44(0) 141 330 2919
Fax: +44(0) 141 330 4814
=========================================================================
Date: Tue, 2 Aug 2005 11:53:04 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
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<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job:Director, Biostatistics. Idenix Pharmaceuticals
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>
>Director, Biostatistics
>
>Job Description:
>
> * Oversee Biostatistical functions and responsibilities for
> * Involving study design, statistical plan and sample size
> determination and overall project plan.
> * Preparing statistical analysis plans.
> * Conducting statistical analyses and prepare statistical summary
> tables.
> * Coordinating with data managers on the CRF and database designs.
> * Working closely with SAS programmers on the derived datasets and
> review of safety tables.
> * Providing the statistical components of eCTD.
> * Interfacing with regulatory agencies and IRB on ad hoc protocol
> and eCTD inquires.
> * Monitor and Oversee statistical analysis plans, analysis results and
> statistical tables performed by CROs and DSMB consulting statistician.
> * Participate in the Project Team Meeting and coordinate with clinical
> and regulatory staff on timelines and statistical issues.
> * Advise head of Biostatistics and Data Management on budget, resource
> and data management policy issues.
> * Recruit and Supervise junior biostatisticians.
> * Responsible for the creation of biostatistical SOPs and review of
> new regulatory guidelines on statistical related issues.
>
>Qualification:
>
> * Ph.D. in statistics or biostatistics.
> * Over seven years experience in clinical research preferred, some
> with pharmaceutical or biotechnology companies.
> * Proficiency in SAS programming.
> * Experience in NDA and eCTD preparation.
> * Supervisory experience highly desirable.
>
>
>Idenix offers an excellent benefits package including competitive salary,
>equity compensation, major medical insurance, dental insurance, 401(k)
>plan participation, and group life and disability insurance.
>
>To be considered for this position, please send your resume by email to
><mailto:[log in to unmask]>[log in to unmask], or by mail to:
>Human Resources
>Idenix Pharmaceuticals
>60 Hampshire Street
>Cambridge, MA 02139
>
>
>Idenix Pharmaceuticals, Inc. is a biopharmaceutical company engaged in the
>discovery, development and commercialization of new treatments for
>life-threatening infectious diseases. Idenix has a deep pipeline of
>candidates which are currently in or soon to be entering clinical trials
>for the treatment of Hepatitis B, Hepatitis C and HIV. Idenix's lead
>compound telbivudine for the treatment of Hepatitis B virus (HBV) is
>currently being evaluated in a late phase clinical trial with over 1350
>patients.
>
=========================================================================
Date: Tue, 2 Aug 2005 08:28:22 -0400
Reply-To: Dirk van Schalkwyk <[log in to unmask]>
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<[log in to unmask]>
From: Dirk van Schalkwyk <[log in to unmask]>
Subject: Job: Biostatistician, UK Renal Registry, Southmead Hospital,
Bristol
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Biostatistician, UK Renal Registry, Southmead Hospital, Bristol
Full time, permanent position
Salary =A319,000 - =A324,000 pa (depending on experience)
The UK Renal Registry provides an independent comparative audit service t=
o 60 renal units in the UK. Our primary objective is to publish data on s=
tandards of renal care in the UK and we are acknowledged internationally =
as a source of outcome data for patients in renal failure. The Registry s=
ubmits abstracts to international meetings and publishes papers in peer r=
eviewed journals. A wide range of statistical analyses are undertaken inc=
luding survival and regression analyses.
Our annual report is available on our website -www.renalreg.com=20
We are seeking an enthusiastic self-motivated individual to work with the=
expanding Registry team of 12 staff. Applicants should have a degree and=
/or postgraduate qualification in statistics. We have 2 other full time s=
tatisticians and our senior statistician, previously professor of applied=
statistics in Capetown, provides direct support and training. Most of o=
ur statistical analyses currently use SAS with other statistical packages=
available at the Registry including Stata and SPSS. The Registry has li=
nks with other statisticians involved with national audit, both within an=
d outside the UK. The Registry also has contacts with statisticians in t=
he Southmead Research and Development Support Unit and within the South W=
est statisticians group. The salary is linked to incremental NHS spline p=
oints. Overseas applicants must have a valid UK work permit.
For more information ring Dr David Ansell, Tel: 0117 959 5666
Or our senior statistician Prof Dirk vanSchalkwyk 0117 959 5665
Or apply by sending a CV to: - UK Renal Registry, Southmead Hospital, Sou=
thmead Rd, Bristol BS10 5NB or via email to [log in to unmask]
Closing Date 22 August 2005
--=20
Prof Dirk J van Schalkwyk
The UK Renal Registry
Southmead Hospital
Southmead Rd
Bristol
BS10 5NB
United Kingdom
Tel: =A0+44 117 959 5665
Fax =A0 +44 117 959 5664
__________________________________________________________________
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Date: Tue, 2 Aug 2005 15:38:51 +0100
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Subject: RSS CPD Workshops - Applied Multilevel Modelling - 5 & 6 October
2005
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> APPLIED MULTILEVEL MODELLING WORKSHOPS
>=20
> The Royal Statistical Society=20
> 12 Errol Street, London, EC1Y 8LX
>=20
> Wednesday 5 October 2005 (09.30 - 18.00 hrs)=20
> and
> Thursday 6 October 2005 (09.30 -18.00 hrs)=20
>=20
> The Royal Statistical Society will be running an Applied Multilevel =
Modelling workshop on Wednesday 5 October 2005 and will repeat the same =
workshop on Thursday 6 October 2005. N.B. These are two separate, =
stand-alone 1-day workshops. Participants are invited to attend on =
either 5 or 6 October 2005.=20
>=20
> The aim of this workshop is to introduce the basic theory, general =
techniques and applications of multilevel models. Participants should =
have a sound knowledge of regression analysis and experience of using =
statistical modelling software. The latest release of the MLwiN =
software, version 2.1, will be used.=20
>=20
> Both workshops are held under the auspices of the Royal Statistical =
Society and will be led by Professor Harvey Goldstein and Dr. Fiona =
Steele, Institute of Education.
>=20
> Preliminary timetable:
> 09.30 - 10.00 Registration (refreshments)=20
> 10.00 - 10.30 Introduction to multilevel modelling
> 10.30 - 11.00 Random intercept, random slope models and residual =
estimates
> 11.00 - 11.15 Break (refreshments)=20
> 11.15 - 12.00 Repeated measures and multivariate data models
> 12.00 - 13.00 Generalised linear (discrete response) multilevel =
models
> 13.00 - 14.00 Lunch
> 14.00 - 14.30 MCMC (Markov Chain Monte Carlo) introduction
> 14.30 - 15.00 MCMC estimates for multilevel models
> 15.00 - 15.45 Bootstrapping for multilevel data
> 15.45 - 16.15 Break (refreshments)=20
> 16.15 - 17.00 Non hierarchical multilevel models I: =
Cross-classifications=20
> 17.00 - 17.45 Non hierarchical multilevel models II: Multiple =
membership structures=20
> 17.45 - 18.00 Resume and general discussion=20
>=20
> The workshop fee is as follows:=20
>=20
>=20
> =A3275 for non RSS fellows (non-academic) =A3190 for non RSS fellows =
(academic)
> =A3235 for RSS fellows (non-academic) =A3135 for RSS fellows =
(academic)
> =A3210 for CStats (non-academic) =A3120 for CStats (academic)=20
>=20
>=20
> The CStat rate applies to MIS, FIS and GradStat. All cited fees =
include lunch, teas and coffees. =20
>=20
> N.B. Workshop participants are entitled to purchase MLwiN at the =
discounted rate of =A3440: (excluding VAT). Academics are entitled to an =
academic discount of 40% on this price.
>=20
> Places will be allocated on a first-requested-first-allocated basis. =
Application forms are available at http://www.rss.org.uk/cpd (see =
information on CPD opportunities) or on request from Debra Hurcomb, =
Theme Manager, Education at the RSS on Tel: 020 7614 3934/e-mail: =
[log in to unmask] Thank you in advance.=20
>=20
>=20
=========================================================================
Date: Tue, 2 Aug 2005 14:46:45 +0000
Reply-To: Gunnar Stefansson <[log in to unmask]>
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From: Gunnar Stefansson <[log in to unmask]>
Subject: Position opening: Modelling opportunity in Iceland
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As seen in the 24 June issue of Science:
Job opportunity in statistical modelling in marine biology
The Modelling Division of the Marine Research Institute in Reykjav=EDk,
Iceland, has a vacancy in the field of statistical modelling of marine
populations with an emphasis on marine mammals and capelin in Icelandic
waters. The position is within a two-year research project funded by the
European Union PhD degree required, with emphasis on quantitative
analysis and modelling in biological sciences. Programming ability
(preferably C++), knowledge of Linux and expertise with a statistical
package is required as is the ability to formalise models and document
results Applications will be reviewed beginning August 1, 2005. Salary
starts at 250000 Ikr/month ($47000/yr) Send letter of application,
resume, and names, addresses, and phone numbers of three referees or
inquiries by electronic mail to: Gunnar Stefansson, Marine Research
Institute ([log in to unmask])
Links:
* Marine Research Institute - http://www.hafro.is =
=20
* Recent projects by the MRI Modelling Division
- http://www.hafro.is/dst2 =
=20
--
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------
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P.O. Box 1390 Science Institute
121 Reykjavik, Iceland Dunhaga 5, 107 Reykjavik, Ic=
eland
Phone +354-575-2000 +354-525-5915
This e-mail address is subject to SPAM filtering, also stopping e-mail
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is
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Date: Tue, 2 Aug 2005 16:01:42 +0000
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From: Nigel Marriott <[log in to unmask]>
Subject: QUERY 2 : ANOVA Type 1 & 3 SS - clarification
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To everyone
Thank you to everyone who responded to my original query on Type 1 & 3 SS in ANOVA. In trying to describe the background, I think I might have confused some people. Therefore I would like to clarify a few things.
The data is supposed to be liking scores (on a 1 to 7 scale) for 9 variants of a confectionery from 200 consumers per product. Unfortunately no data was collected for 1 product as below due to a misunderstanding i.e. the N/A cell is empty making this an incomplete design.
@8wks @16wks @24wks
Std 5.38 5.39 5.20
AltI 5.40 5.43 5.15
AltP 5.50 5.35 N/A
The Mean Square Error is 1.5 on 1649 df.
The 2 factors shown are Product Type (Std, AltP, AltI) and product Age (8, 16, 24 weeks). Ideally there should have been a fourth product type in the design but this was overlooked by the original project team.
There is in fact a third factor which is type of consumer (using a very simple clustering method as follows)
0 : They have not bought the product and it is not a favourite.
1 : They have bought the product but it is not a favourite.
2 : They have bought the product and it is a favourite.
Originally I analysed the data using XLSTAT (an excel add-in) which was only capable of Type 1 & 3 SS. Following feedback from some of you, I reanalysed using STATISTICA which is also capable of Type 2 SS. The F statistics for each type of SS and type of model are given below.
Type 3 SS Type 2 SS
Effect df F3 F2 F1 F3 F2 F1
Product 2 0.97 1.11 0.12 0.11 0.11 0.12
Age 2 0.77 0.93 4.16 4.12 4.13 4.16
Consumr 2 19.82 19.25 22.35 22.15 22.22 22.35
PxA 3 0.24 0.57 0.57 0.57
PxC 4 1.09 1.19 1.19 1.19
AxC 4 0.56 0.53 0.53 0.53
PxAxC 6 0.16 0.16
MS Error is 1.5 on 1649df
Where
F3 - Interactions up to degree 3 i.e. full model
F2 - Interactions up to degree 2
F1 - No interactions i.e. main effects model.
These values show that with no significant interactions are present the main effects model is the correct one for drawing conclusions. In this case both Type 2 and 3 SS will give the same results. But I had based my original query on the Type 3 SS full model whilst ignoring the interactions and the Consumer term. I had not appreciated the fact that the significance of the Age factor would change so dramatically once the interaction terms were removed. However in the Type 2 (and Type 1 models) removal of the interaction terms does not change the significance of the main effects much.
I am left with the impression that Type 2 SS is the most appropriate choice. Type 1's are dependent on the order in which the 3 factors are presented and in this study there is no natural order to the factors. Type 3's are not order dependent but there is a big risk on being misled as to the significance of the main effects when interactions are included in the models as has happened here. Type 2's seem to get around both of these issues.
Three other comments I would like to make.
First, I tried each one of the 6 possible orders of the 3 main effects when doing the Type 1 SS models and discovered that the SS for each effect in Type 3 SS appeared to be the minimum SS obtained for that effect from the 6 potential Type 1 SS models. Is this how Type 3 SS is supposed to work?
Second, someone has suggested that Type 4 SS would be suitable. What is the difference between this and the other types.
Lastly, in general will an incomplete design as happened here exacerbate the difference in results obtained from Type 1, 2, 3 or 4 SS?
Overall I have learnt a lot from your feedback so far but I would greatly appreciate any more feedback on what I have written here.
Regards
Nigel Marriott
Senior Statistician
R&D, Masterfoods Europe
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Date: Tue, 2 Aug 2005 17:40:34 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: 2 x SAS Programmer
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CONTRACT: 2 x SAS Programmer=20
=20
Salary: GBP 35ph=20
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Business Type: Clinical Research Organisation, Contract Research
Organisation=20
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Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires 2 SAS experts to join their mid-sized team for an
initial period of 3 months. You will be working alongside statistician
on a project basis and need excellent working knowledge of SAS (BASE,
MACRO, GRAPH). 2 year experience in the Pharmaceutical industry is
essential and you will also be expected to have knowledge/experience in
database design. Interviews will be immediate with the assignment to
start ASAP.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3719'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
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the individual sender, except where the message states otherwise. We
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However, we cannot accept responsibility for any virus transmitted by us
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=========================================================================
Date: Tue, 2 Aug 2005 18:34:52 +0100
Reply-To: "Martin P. Holt" <[log in to unmask]>
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From: "Martin P. Holt" <[log in to unmask]>
Subject: MedStats Discussion Group
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In its guidelines, Allstat says,
".....there are obvious benefits to yourself, and to the recipients of your
message, if you ensure it is posted to the correct forum.
This is particularly important if your message is of a consultancy nature,
or is likely to provoke discussion, and might therefore be more suited to a
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MedStats is such a list, for those with an interest in Medical Statistics.
It is a thriving discussion group, currently with 330 members.
MedStats carries virtually no advertisements.
If you are interested, please visit
http://groups-beta.google.com/group/MedStats
Thank you for your time,
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Date: Tue, 2 Aug 2005 12:40:09 -0700
Reply-To: aMALLAN JEY <[log in to unmask]>
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<[log in to unmask]>
From: aMALLAN JEY <[log in to unmask]>
Subject: Re: twoway plot in stata
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Hi,
I have problem ploting twoway graph
i have data set hospital id and year
each hospital id repeated dependent of the surgory did in that hospital
my data look like this
id year
1 1991
1 1991
1 1992
1 1992
2 1998
2 1998
2 1998
i want to plot x axis is year , y axis is number of case each year by=20
hospital
|
| .
No |. . .
cases | *
|* * *
------------------------------------------
1991 1992 1992
. & * are hospital id
No cases: count the hospital id by year
Thanks very much for any comments.
kind Regards
Jey
_________________________________________________________________
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Date: Tue, 2 Aug 2005 22:46:29 -0400
Reply-To: Isaac Dialsingh <[log in to unmask]>
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From: Isaac Dialsingh <[log in to unmask]>
Subject: Re: Data analysis help
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I was wondering if anyone knows the most appropriate way of handling =
this problem.
We have conducted and experiment with 42 rats which were divided into 7 =
groups.=20
First, the iron content of each of the 42 rats were taken for three =
consecutive days. Then, dextran was injected into the rats based on the =
weight of the rats. This was done to induce an iron overload. For three =
consective days again, the iron content in the urine and faeces were =
measured. Then an iron removal drug was given to the groups in different =
forms. Again, the iron content in the urine and faeces were measured for =
three consecutive days during the treatment and then for three days =
after the treatment.
My question is this:=20
1) I want the find out which groups were significantly different from =
one another.=20
2) Is there is signicant difference in iron removal during and after =
treatment for groups 4, 6 and 7?
I was told that this can't be a repeated measures. Since all the rats =
were not exposed to all the 7 treatments for iron removal. Is MANOVA =
acceptable here and if so, do I have to get a total for the three =
variables for each of the consecutive days for to use the variables in =
the program. Or should I resort to a one way ANOVA?
Isaac
=========================================================================
Date: Wed, 3 Aug 2005 08:23:27 +0100
Reply-To: Chris Jones <[log in to unmask]>
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From: Chris Jones <[log in to unmask]>
Subject: JOB: Senior Statistician (Forecasting)
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Please reply as instructed in the following advertisement and not to me.
-------------------------------------------------------------------------=
----
THE OPEN UNIVERSITY
PLANNING OFFICE
SENIOR STATISTICIAN
(=A330,607-=A336,546 p.a.) Ref: 2025
The Open University Planning Office is looking to recruit an experienced=20
and professional senior statistician to forecast student numbers.
You will be joining a small, lively team of similarly qualified people wh=
o=20
work closely together to provide actual and forecast student numbers for=20
internal planning and management and for external bodies. You will be=20
expected to play a lead role in forecasting student numbers of OU courses=
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and will have responsibility for one other statistician involved in=20
forecasting. The position will require you to work alongside senior=20
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You will have a first degree or equivalent qualification in statistics or=
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Closing date for applications: Monday 5th September 2005.
For an application form, further particulars, access details for disabled=
=20
applicants contact Sue Woollett:=20
=B7 (01908) 652934
=B7 [log in to unmask]
=B7 write to: The Planning Office, The Open University, Walton Hall, Milt=
on=20
Keynes, MK7 6AA.=20
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Disabled applicants who meet the essential job requirements will be=20
interviewed. Further particulars are available in large print, disk or=20
audiotape. (Minicom 01908 654901 for hard of hearing).
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=========================================================================
Date: Wed, 3 Aug 2005 08:31:02 +0100
Reply-To: K F Pearce <[log in to unmask]>
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<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Interactions/Cox Regression: Answers to previous queries
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=20
Hi everyone,
I posted 2 queries to the list a short while ago. Here are the replies:
************************
( QUERY 1)
A small query....re. interactions concerning dummy variables and their
interpretation in a regression model.
I have 2 binary variables. One has categories "male" (1), "female" (0);
the other has categories ">35 years" (1) and "<35 years" (0).
Say, in a hypothetical example, we have the following data
Sex age
1 0
1 1
0 0
1 1
1 1
0 1
0 0
I form an interaction like so:
Sex*age
0
1
0
1
1
0
0
Now, here for the sex*age interaction a '1' is formed only when a person
is 'male' and >35 years....hence we only get a contribution to the
fitted value in a model from the interaction term for males over 35.
How can we evaluate the contribution to a model from the individuals who
are 'female and >35'; 'male and <35' and 'female and <35' when, as we
can see, their contribution to the model (for the interaction)using this
coding scheme is zero ?
As an alternative, would it be correct to generate a categorical
variable with the following codes:
<35 and male 1
>35 and male 2
<35 and female 3
>35 and female 4
And then for modelling create 3 dummy variables like so:
<35 and male 1 0 0
>35 and male 0 1 0
<35 and female 0 0 1
>35 and female 0 0 0
Many thanks,
Kim.=20
********************************************
ANSWER=20
Here is a succinct version of the general consensus:
In the data we were looking at, we were performing regression
modelling. We had 4 possible categories for the independent variables:
<35 and male
<35 and female
>35 and male
>35 and female
Thus there are only four possible parameters that can be fitted (these
can be 3 dummy variables ['age', 'sex' and 'age*sex'] and a 'constant'
where the 3 dummy variables are:
Age sex age*sex
1 -1 -1
1 1 1
-1 -1 1
-1 1 -1
Or
Age sex age*sex
1 0 0
1 1 1
0 0 0
0 1 0
Or we could generate the 3 dummy variables in the model by producing a
categorical variable
with the following codes:
<35 and male 1
>35 and male 2
<35 and female 3
>35 and female 4
And then for modelling, create the 3 dummy variables like so (for
example):
<35 and male 1 0 0
>35 and male 0 1 0
<35 and female 0 0 1
>35 and female 0 0 0
Or
<35 and male 1 0 0
>35 and male 0 1 0
<35 and female 0 0 1
>35 and female -1 -1 -1
For this final coding, however, you lose the ability to separate the
three degrees of freedom into one for sex one for age and one for the
interaction.
The resulting models will be equivalent as regards 'fit' but will show
differing 'significance' for the various parameters depending on choice
of coding. A model which fits all of the 4 parameters is said to be
saturated. There are two different conventions regading when a model is
saturated. The first is when all observations would be perfectly
predicted. This requires as many parameters as observations and is not
the case in this example. The second is when there are as many
parameters as can be fitted given the predictor structure. This is the
case in this example. However, by adding more covariates you could add
more parameters.=20
***************************************
QUERY 2
Hello everyone,
I am about to embark on a Cox Regression in SPSS. However, I have some
questions about the output. If we take the hypothetical data set below
Age sex time death
1.00 1.00 10.00 1.00
.00 1.00 12.00 .00
.00 .00 12.00 1.00
1.00 .00 21.00 .00
.00 1.00 45.00 1.00
.00 1.00 21.00 .00
.00 1.00 .00 .00
1.00 .00 2.00 .00
1.00 .00 1.00 .00
1.00 .00 4.00 1.00
1.00 .00 3.00 1.00
.00 .00 67.00 1.00
.00 1.00 33.00 1.00
.00 .00 21.00 1.00
.00 1.00 2.00 .00
1.00 .00 22.00 1.00
1.00 1.00 1.00 .00
1.00 .00 6.00 .00
1.00 .00 5.00 1.00
.00 .00 3.00 .00
.00 .00 2.00 1.00
.00 .00 7.00 .00
.00 1.00 55.00 1.00
1.00 1.00 3.00 1.00
1.00 1.00 1.00 .00
I have entered in the dialogue box that Sex and Age are the covariates,
'time' is the 'time' variable and 'status' is variable named death (with
'1' as the event).
I find in the output that 4 cases have been omitted. There is 1 case
omitted with 'non positive' time. What does this mean? There are 3
cases which have been omitted which are 'censored cases before the
earliest event in a stratum'...what does this mean? Hence the means
printed for sex and age are 0.381 and 0.429 respectively. I would be
grateful if you could tell me how these values have been evaluated.
Also (for another data set (where I run a Kaplan Meier analysis the
following message is printed:
>"A negative or missing value of dependent variable has been=20
>encountered. KM will exclude such cases from analysis".
What does this mean?
The SPSS manuals do not seem to be very enlightening on this point.
******************
ANSWER:
The case with time =3D0 has been omitted.
Also, the earliest event occurs in month 2, so we omit the 3 patients
which are 'censored' and who lie before month 2 (i.e. in month 1).=20
Many thanks, everyone for your help,
All the Best,
Kim.
=========================================================================
Date: Wed, 3 Aug 2005 09:22:58 +0200
Reply-To: SH Heisterkamp <[log in to unmask]>
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Dr. S.H. Heisterkamp
Senior Statistician
RIVM, PO BOX 1, 3720 BA Bilthoven, The Netherlands
dept. IMA, pb86
t +31-30-2742587
f +31-30-2744456
____________________________________________________________________________
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Date: Wed, 3 Aug 2005 09:52:40 +0100
Reply-To: Carole Cull <[log in to unmask]>
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<[log in to unmask]>
From: Carole Cull <[log in to unmask]>
Organization: Diabetes Trials Unit
Subject: Intraclass correlations - responses to query
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Some time back I asked about this. If anyone else is interested, these
are the responses.
Recommended paper
Reliability of assessment tools in rehabilitation: an illustration of
appropriate statistical analyses. G Rankin M Stokes (1998) Circulation
12, 187-199.
A paper by Guggenmoos-Holzman et al in Stat Med was also recommended,
but I didn't get hold of it to check, so can't comment on it.
A useful website
http://www.uvm.edu/~dhowell/StatPages/More_Stuff/icc/icc.html
--------------------------------------------------------------------------------
Dr Carole A. Cull
University Research Lecturer
Senior Medical Statistician/Senior Fire Marshall
Diabetes Trials Unit
Oxford Centre for Diabetes, Endocrinology and Metabolism
Churchill Hospital
Headington
Oxford
OX3 7LJ
tel +44 (0) 1865 857251
fax +44 (0) 1865 857254
www.dtu.ox.ac.uk
--------------------------------------------------------------------------------
=========================================================================
Date: Wed, 3 Aug 2005 10:49:51 -0500
Reply-To: Courtenay Myers <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Courtenay Myers <[log in to unmask]>
Subject: JOB: Statistical Genetics Opportunity
MIME-Version: 1.0
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AstraZeneca is renowned for their contribution to the global pharmaceutical
industry, pioneering the development of ground-breaking drugs that help
millions of patients fight disease. AstraZeneca spends $14 million each
working day on researching and developing this impressive product portfolio,
and are currently using genetics to help increase efficiency. As such, we're
now looking for a Statistical Geneticist to join our world-class team.
Providing statistical expertise to colleagues throughout study design, data
analysis and review of outcomes, with a particular focus on pharmacognetic
studies, you will help bring new, improved drugs out into the world market.
You will also put statistical programmes in place for routine analyses and
produce up-to-date project documentation including analysis plans,
presentations and reports.
Your MSc (or equivalent) in statistics will be complemented by at least
three years' experience in statistical programming and inferential
statistics. In addition you'll have excellent team-working skills and be
able to deliver a high-quality service to strict deadlines.
For confidential consideration or to learn more, please contact:
Todd Barone
Principal
Integris
Human Capital Solutions
phone +1 312 202 9906
mobile +1 773 383 8601
email <mailto:[log in to unmask]> [log in to unmask]
www.integriscg.com
=========================================================================
Date: Wed, 3 Aug 2005 17:00:20 +0100
Reply-To: Michael Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Sweeting <[log in to unmask]>
Subject: JOB: RESEARCH ASSISTANT IN HEALTH ECONOMICS, LSHTM LONDON
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: quoted-printable
THE LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE
=20
DEPARTMENT OF PUBLIC HEALTH AND POLICY
=20
HEALTH SERVICES RESEARCH UNIT
=20
=20
=20
=20
RESEARCH ASSISTANT IN HEALTH ECONOMICS, LSHTM LONDON
=20
Applications are invited for the post of Research Assistant in Health=20
Economics. The post holder will contribute to a project modeling the=20
cost-effectiveness of health care interventions in hepatitis C. This=20
project will involve collaboration with statistical colleagues at the=20
MRC Biostatistics Unit, Cambridge. This post provides an excellent=20
opportunity to develop the key skills required for conducting economic=20
evaluations and writing peer-reviewed publications.
=20
You will need a masters degree in Health Economics, Medical Statistics=20
or another relevant quantitative discipline. The successful candidate=20
should demonstrate excellent communication skills and the ability to=20
work independently.
=20
Salary will be on the R1B scale (=A322,355 to =A324,536). The post is fu=
ll=20
time, initially for one year and is available from 1^st October, 2005.
=20
Applications, including a CV, list of publications, covering letter and=20
the names of three referees, should be sent to: Personnel Officer,=20
London School of Hygiene & Tropical Medicine, Keppel Street, London,=20
WC1E 7HT. (tel: +44 (0) 20 7927 2203, fax: +44 (0) 20 7636 4771, email=20
[log in to unmask] <mailto:[log in to unmask]>). *Please quote=20
reference:RG1*
=20
Potential applicants are encouraged to contact Richard Grieve (020 7927=20
2255) or Professor John Cairns (0207 927 2395),
=20
*CLOSING DATE:* *30^th August, 2005***
* *
*The London School of Hygiene & Tropical Medicine is committed to being *
*an equal opportunities employer.*
=========================================================================
Date: Wed, 3 Aug 2005 17:13:34 +0100
Reply-To: John Polak <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Polak <[log in to unmask]>
Organization: Imperial College London
Subject: PhD Studentships in Transport Risk Management
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
With apologies for cross posting
CENTRE FOR TRANSPORT STUDIES
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
IMPERIAL COLLEGE LONDON
Applications are invited for two PhD studentships in Transport Risk
Management, funded by the Lloyd's Register Educational Trust and
located in the Centre for Transport Studies in the Department of Civil
and Environmental Engineering. The students will be supervised Professor
Andrew Evans, Lloyd's Register Professor of Transport Risk Management,
possibly jointly with other members of the Centre, depending on their
research topic.
The students are expected to work in the field of risk management in any
mode of transport. Students may propose their own topic within this field
or work on one of the following topics: criteria for the adoption of safet=
y
measures; analysis of accident precursors as indicators of safety risk;
comparisons of safety management in railways and aviation; effectiveness
of railway train protection systems; road safety, especially in relation t=
o
the safety of other modes.
The studentships comprise a bursary for three years, initially at =A314,00=
0
per year, together with College fees at the home/EU rate. In the case of
exceptionally well qualified and motivated candidates from outside the
EU, consideration may be given to covering all or part of the full College=
fee.
The Centre for Transport studies undertakes research across a broad
range of transport related topics including safety, railway operations and=
management, air transport, transport and the environment, transport
policy and regulation, transport operations, logistics, technology, and
transport demand modelling. Further information can be found on the
Centre's website at http://www.imperial.ac.uk/cts.
Applicants for the studentships should have or expect to obtain a first or=
upper second class honours degree or equivalent, in a relevant quantitativ=
e
discipline (for example, Engineering, the Physical Sciences, Environmental=
Science, Mathematics, Statistics, Computing, Economics). A Master's
degree in a relevant subject may be advantageous but is not essential.
Potential applicants are invited to send a curriculum vitae to Professor
Andrew Evans ([log in to unmask]; Centre for Transport Studies,
Skempton Building, Imperial College, London SW7 2AZ) and to submit an
application form (which can be downloaded from
http://www.imperial.ac.uk/pgoptions.
Closing date: 12 September 2005
Valuing diversity and committed to equality of opportunity.
--
Prof. John Polak
Head of Centre for Transport Studies
Department of Civil and Environmental Engineering
Imperial College London
London SW7 2AZ
T: +44-(0)20-7594-6089
F: +44-(0)20-7594-6102
http://www.imperial.ac.uk/transport-studies
=========================================================================
Date: Wed, 3 Aug 2005 17:21:51 +0100
Reply-To: "Xiangming Xu (EMR)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Xiangming Xu (EMR)" <[log in to unmask]>
Subject: Job: temporal modelling post for 6 -month
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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Spatiotemporal variation and the prediction of fungicide residues on
orchard crops
A temporary mathematical/statistical modeller is needed to model the
dissipation of fungicide residues using data obtained in field and
controlled environmental conditions. The project is jointly funded by
BBSRC and Syngenta, aiming to understand Spatiotemporal variation and
the prediction of fungicide residues on orchard crops. The post is
available from 1st November 2005 and lasts for 6 months.
General background
Understanding the interaction between spatiotemporal variation (STV) in
disease and pesticide residues is vital to develop methods and models to
optimise pesticide inputs. The STV and dynamics of pests and diseases
are well researched. However, a multi-scale investigation of the STV of
pesticide residues has not been done despite large variability found at
single scales. Each year many field trials are done to quantify
variability at single scales. These focus mainly on variation amongst
composite (or bulked) samples in the north and south regions of Europe
for registration of pesticides and more recently variation amongst
individual units for use in acute dietary risk assessments. These
studies often have coefficient of variations of 100% and 7% of residues
with values of greater than seven times the median. Thus, these datasets
cannot be used for investigating issues related to multiple scales
because of the collection methods and lack of replication. The residue
on the harvested fruit is the results of two processes: initial deposit
and dissipation. Application technique, canopy and growth stage have all
been shown to affect variability in initial deposit between leaves at a
single scale. Dissipation of residues is affected by weather and growth
dilution.
Objectives
This project focuses on collecting critical data to determine the
important scales of spatiotemporal variation in residues and develop
mathematical models from the collated data to predict residues with
confidence intervals at appropriate scales. By the end of October 2005,
we should have completed all field and laboratory experiments and hence
obtained all the necessary data for modelling. Now we need a temporary
mathematical/statistical modeller to complete the data analysis and
modelling aspects of this project. Specifically, the post-holder will be
responsible for=20
1) Developing a physical decay model for captan using experimental
data. This will use the experimental data on the effects of temperature,
relative humidity and rainfall on the captan loss.
2) Developing a host (leaf/fruit) growth model. This model will be
developed from published data and used to estimate the effect of growth
dilution on fungicide residues.
3) Developing an overall model to simulate the captan dissipation.
In this overall model, the decay and growth dilution models may be
linked together using difference equations. Sensitivity analysis will be
carried out on this model, particularly on the confidence interval of
residue predictions over time. The model will be tested against field
data collected both within the current project and within Syngenta.=20
4) Investigating sampling designs. We have quantified sources of
variability in residues and their relative contributions to the observed
variability. Investigations will be conducted to study the implications
of this knowledge on efficiencies of sampling schemes for a given
sampling effort.=20
The post-holder would ideally have a PhD degree with some experiences in
modelling biological problems. If interested, please contact Xiangming
Xu at East Malling Research (01732 523753, [log in to unmask])
=========================================================================
Date: Thu, 4 Aug 2005 09:55:06 +0100
Reply-To: "Goda, David F" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Goda, David F" <[log in to unmask]>
Subject: Applied Stats (series C) 1968-2004
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Content-Type: text/plain; charset="iso-8859-1"
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Friends=20
A run of Applied Statistics (Journal of the Royal Statisticsl Society, =
series C) is looking for a good home. The earlier years are incomplete, =
but for 1992 - 2004 Just a couple of issues are missing. Almost all are =
in very good condition. They may be collected from the centre of =
Wolverhampton, or I can send - or indeed deliver - at cost. =20
Best wishes=20
DFG
-----------------------------
David Goda
SCIT, Univ. of Wolverhampton Phone (01902)321444
Wulfruna Street Email [log in to unmask]
Wolverhampton WV1 1SB
=========================================================================
Date: Thu, 4 Aug 2005 11:52:28 +0100
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: JOB: Senior Lecturer in Medical Statistics, Univ of Leicester,
U.K.
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
UNIVERSITY OF LEICESTER
School of Medicine
Department of Health Sciences
Trent Research and Development Support Unit (RDSU)
SENIOR LECTURER IN MEDICAL STATISTICS
Scale: Senior Lecturer: =A337,558 to =A342,573 pa
Available for three years
Ref: A2117/WEB=20
The successful applicant will be an experienced medical statistician, =
with appropriate postgraduate qualifications and=20
Chartered Statistician status. Practical experience of trials design and =
analysis is essential, as are good presentational,=20
supervisory, consultancy and interpersonal skills. Experience of =
methodological aspects of health services research and of=20
the design and delivery of education in quantitative research =
methodologies is essential.
MAIN PURPOSE OF POST:
The Senior Lecturer in Medical Statistics will be responsible to the =
Director of the Trent Research and Development Support Unit and,=20
in turn, to the Head of Department of Health Sciences. The post-holder =
will work with the Director and others in the Leicester Unit=20
of RDSU to provide advice and methodological support to NHS researchers =
and academic colleagues, develop and deliver educational=20
courses in a range of research methodologies, and undertake high quality =
research in health or health-related issues.=20
The post-holder will also contribute to the development of and provide =
ongoing methodological support to the Leicestershire,=20
Northamptonshire and Rutland Clinical Trials Support Unit.
FURTHER DETAILS:
Downloadable application forms and further particulars are available by =
following the link above, or in hardcopy from Personnel=20
Services, tel: 0116 252 5114, fax: 0116 252 5140, email: =
[log in to unmask], www.le.ac.uk/personnel/jobs. =20
Please note that CVs will only be accepted in support of a fully =
completed application form.=20
Further details on the Department of Health Sciences can be found at
www.hs.le.ac.uk and on the Trent RDSU in Leicester at =
www.trentrdsu.org.uk/contacts_southrdsu.html
INFORMAL ENQUIRIES: should be directed to Martin Williams, Director =
Trent RDSU (Tel: 0116-252-3276; E-mail: [log in to unmask])=20
CLOSING DATE: 9 August 2005. =20
>
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Thu, 4 Aug 2005 11:58:52 +0100
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: JOB: Research Associate in Health Services Research,
Univ of Leicester, U.K.
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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UNIVERSITY OF LEICESTER
School of Medicine
Department of Health Sciences
Trent Research and Development Support Unit (RDSU)
RESEARCH ASSOCIATE IN HEALTH SERVICES RESEARCH
Scale: R&A1A: =A319,460 to =A329,128 pa
Available immediately for up to three years
Ref: R2120/WEB=20
To provide advice and methodological support to NHS researchers and =
academic colleagues, develop and deliver educational courses in a=20
range of research methodologies, and undertake high quality =
collaborative research in health or health-related issues.=20
You will have a higher degree in a discipline relevant to teaching and =
supporting health-related researchers and=20
appropriate experience.
FURTHER DETAILS:
Downloadable application forms and further particulars are available by =
following the link above, or in hardcopy from Personnel=20
Services, tel: 0116 252 5114, fax: 0116 252 5140, email: =
[log in to unmask], www.le.ac.uk/personnel/jobs. =20
Please note that CVs will only be accepted in support of a fully =
completed application form.=20
Further details on the Department of Health Sciences can be found at
www.hs.le.ac.uk and on the Trent RDSU in Leicester at =
www.trentrdsu.org.uk/contacts_southrdsu.html
INFORMAL ENQUIRIES: should be directed to Martin Williams, Director =
Trent RDSU (Tel: 0116-252-3276; E-mail: [log in to unmask])=20
CLOSING DATE: 9 August 2005. =20
>
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Thu, 4 Aug 2005 14:43:56 +0200
Reply-To: Gerda Claeskens <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gerda Claeskens <[log in to unmask]>
Subject: JOB : full-time PhD position in Statistics at K.U.Leuven - Belgium
MIME-Version: 1.0
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Vacancy for a RESEARCH ASSISTANT IN STATISTICS
at K.U. Leuven, BELGIUM
We are looking for a full-time research assistant for the period Oct. 1,=20
2005 =96 Sept. 30, 2009 to conduct research in statistics. This research=20
should lead to obtaining a Ph.D. degree. (The starting date can possible=20
be postponed until Jan 1, 2006 at the latest.)
Possible research topics include a study of model selection methods, in=20
particular for missing data problems; some topics within the area of=20
nonparametric statistics, for example studying smoothing methods such as=20
pen. regression splines, or lack of fit testing,... (depending on the=20
interest of the candidate).
You will find a dynamic and pleasant working environment, in a group=20
which tries to conduct research at the highest international level, in=20
the oldest university of the Low Countries (funded 1425), located in the=20
historical and exciting city Leuven.
Candidates should have a strong interest in statistics or econometrics,=20
and preferably have a background as Master of Science in Statistics,=20
Mathematics, Applied Economics, Business Engineering, Economics, Civil=20
Engineering or Computer Science. An average yearly result of=20
"distinction" during the university education is required, as is a=20
decent knowledge of written and spoken English. Master=92s and=20
undergraduate students in their last year are especially encouraged to=20
apply.
For further information, please contact professor Gerda Claeskens via=20
the e-mail address: [log in to unmask]
We expect an application letter with motivation and curriculum vitae, as=20
well as the completed form C3 (which can be downloaded from the=20
following website http://www.kuleuven.be/admin/rd/niv3p/ad-f01-1.htm),=20
sent to
Prof. G. Claeskens
K.U. Leuven, ORSTAT
Naamsestraat 69, 3000 Leuven, BELGIUM.
[log in to unmask]
Closing date: August 24, 2005.
--=20
------------
Prof. Gerda Claeskens
OR & Business Statistics
K.U.Leuven
Naamsestraat 69
3000 Leuven, Belgium
Phone: +32-16-32.6993
Fax: +32-16-32.6732
[log in to unmask]
http://www.econ.kuleuven.be/gerda.claeskens/public
------------
=========================================================================
Date: Thu, 4 Aug 2005 15:50:03 +0200
Reply-To: Anne-Laure Boulesteix <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Anne-Laure Boulesteix <[log in to unmask]>
Subject: "Ordinal scaled" or "Ordinally scaled" variable ?
MIME-Version: 1.0
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Content-Transfer-Encoding: 7bit
Dear Allstat,
I am just correcting a manuscript and, since I am not a native speaker,
I wonder if I should write
"an at least ordinal scaled variable"
or
"an at least ordinally scaled variable"
Could anyone help me ?
Many thanks in advance!
Best regards,
Anne-Laure Boulesteix
www.statistik.lmu.de/~socher
Department of Statistics, University of Munich
Akademiestr. 1, D-80799 Munich (Germany)
=========================================================================
Date: Thu, 4 Aug 2005 15:10:12 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: QUERY: A question on Structural Equations Modelling
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi,
Does specifying a correlation involving an endogenous variable always
leads to non-identification? Why is it that AMOS would not let me specify
such a relationship? What if that is what I want? How would I overcome it?
As an example:
y1 -> y2 -> y3
y4 -> y3
What if y2 and y4 are correlated?
Thanks.
Timothy Mak
=========================================================================
Date: Thu, 4 Aug 2005 17:11:58 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Organization: Blue Pelican Pharma
Subject: JOB: Contract Biostatistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Dear All,
An international pharmaceutical company, a long term contract with excellent
rates, and a beautiful European location.
They are looking for a Statistician to perform protocol preparation and the
initiation of clinical trials for Phase I trials.
You will be performing exploratory analysis and preparing specialist
sections for clinical trial reports.
A background in clinical trials and/or pharmacokinetics is essential, and
the role calls for strong Statistical ability, knowledge of SAS and also at
least an MSc qualification.
Start date is ASAP, and hourly rates are generous - please ask for more
information on application.
For more information, please call me, I will be pleased to discuss your
options with regards to this role and many others.
Kind Regards
Zoe Bennett
Senior Consultant
BLUE PELICAN PHARMA
Tel: +44 (0) 1580 201616
Fax: +44 (0) 1580 202000
www.bluepelicanpharma.com
Pelican House, Gibbs Reed Farm
Ticehurst, East Sussex TN5 7HE
Blue Pelican Group provide a professional and ethical recruitment service.
It is our policy not to distribute any candidate information without prior
consent from the candidate.
All information in this email transmission, including financial and
numerical information, is strictly private and confidential, and subject to
change, correction and completion. If you have received this email in error,
please notify the sender and delete the email and all attachments
immediately. This email (including any attachments) may contain confidential
or privileged information or both. If you are not the intended recipient,
any reliance on, use, disclosure, dissemination, distribution or copying of
this email or attachments is strictly prohibited.
We have checked for viruses, but the contents of an attachment may still
contain software viruses, which could damage your computer system. We do not
accept liability for any damage you sustain as a result of a virus
introduced by this email or any attachment, and you are advised to use
up-to-date virus checking software. We do not guarantee any email
transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance with
the Lawful Business Practice Regulations and the Data Protection Act.
Senders of messages shall be taken to consent to the monitoring and
recording of emails addressed to our employees.
=========================================================================
Date: Fri, 5 Aug 2005 10:58:25 +0100
Reply-To: "Goda, David F" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Goda, David F" <[log in to unmask]>
Subject: RSS jornals
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Friends=20
The journals listed below are looking for good homes. They may be =
collected from the centre of Wolverhampton, or I can send - or indeed =
deliver - at cost. Unfortunately, the cost of sending them outside =
Britain seems to be disproportionate to their value
Journal of the Royal Statistical Society, series B (methodological)=20
Vols 22 (1960) - 25 (1963) complete
Covers and edges a bit grubby, otherwise very good condition
Journal of the Royal Statistical Society, series B (methodological)=20
Vols 32 (1970) - 55 (1993)
The earlier years are incomplete, but from 1975 - 1993 just a couple of =
issues are missing. Some covers faded, otherwise in very good =
condition. =20
Journal of the Royal Statistical Society, series D (The Statistician)
Vols 42 (1993) - 49 (2000) very incomplete - total 21 issues, all but =
one (badly coffee stained!) in excellent condition
Best wishes=20
DFG
-----------------------------
David Goda
SCIT, Univ. of Wolverhampton Phone (01902)321444
Wulfruna Street Email [log in to unmask]
Wolverhampton WV1 1SB
=========================================================================
Date: Fri, 5 Aug 2005 13:16:18 +0300
Reply-To: Kari Auranen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kari Auranen <[log in to unmask]>
Subject: JOBS: two posts in infectious disease epidemiology/modelling,
Finland
MIME-version: 1.0
Content-type: text/plain; charset=us-ascii
Content-transfer-encoding: 7bit
JOBS: TWO SENIOR POSTS IN INFECTIOUS DISEASE EPIDEMIOLOGY/MODELLING
A new collaborative project between eight leading research
groups of pneumococcal infections will begin in the autumn 2005.
The project is co-ordinated by the Department of Vaccines at the
National
Public Health Institute (KTL), Helsinki, Finland.
The project aims to develop and validate models on pneumococcal
colonisation
and vaccination effects, based on the extensive longitudinal data sets
gathered by
the research partners. The ultimate goal of the project is to establish
measurement
of colonisation as a central component in evaluating the clinical
effectiveness
of pneumococcal conjugate vaccines and vaccination programs.
We have two vacancies for medical statisticians/infectious disease
modellers
to work in this project. The role of the senior researchers is to
promote, coordinate
and conduct research during the 5-year project. The project offers
researchers with
broad range of methodologies a unique opportunity to combine extensive
data sets, data analysis and infectious disease modelling. In addition
to the
two senior researchers, the team will include two junior statisticians
and
the overall scientific team at KTL.
We are looking for senior researchers, with several years of experience
in
the analysis of infectious disease data and/or modelling of infectious
diseases,
experience of working with large datasets, familiarity with public
health and
epidemiology and a proven track record in publications in relevant
areas.
Both appointments will be for five years, with monthly
salaries 2416 - 4290 euros (+ pension and health insurances),
depending on qualifications and experience.
Applications should be sent to KTL by mail (National Public Health
Institute, Kirjaamo,
Mannerheimintie 166, 00300 Helsinki, Finland) or by e-mail
([log in to unmask]), with
reference "GCjobs". The application should contain at least
a brief introduction to the applicant, a CV (max 3 pages) and a list of
publications.
The closing date for the applications
is 15 October 2005. Further information is available from the KTL web
site at
www.ktl.fi/portal/english/osiot/ktl/career_opportunities by the end
of August, 2005, or from [log in to unmask] or [log in to unmask]
=========================================================================
Date: Fri, 5 Aug 2005 11:46:11 +0100
Reply-To: Rainer-Georg Goeldner <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rainer-Georg Goeldner <[log in to unmask]>
Subject: unconstrained and constrained partial proportional odds models
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Dear Allstaters,
I have used proportional odds to analyse some data.
When assessing whether the proportionality assumption holds or not, the test
revealed that for one of my variables proportionality does not hold.
I was planning to use partial proportional odds, but I couldn't find
anything to fit either unconstrained or constrained partial proportional
odds models in SAS. Also, when examining the log odds ratios, there seems to
be a linear relationship between the log odds ratios and the cut points.
I would be very grateful for any help with fitting the models in SAS (or any
other mayor statistical package) and the suggestion of a test to decide
whether the unconstrained or constrained partial proportional odds model is
appropriate after fitting both models.
Yours sincerely,
Rainer Goeldner
=========================================================================
Date: Fri, 5 Aug 2005 15:09:24 +0100
Reply-To: Jonathan Rougier <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonathan Rougier <[log in to unmask]>
Subject: MEETING: RSS Envir Stats Sec, 17 October, London
Advanced notice of a 1-day meeting organised jointly by the RSS
Environmental Statistics Section and the International Biometric Society
(British Region).
"Climate Change Impacts"
Monday 17 October, 11am - 5pm, Royal Statistical Society, Errol St, London
Details of speakers to follow. For further information please contact Peter
Challenor ([log in to unmask]).
Jonathan Rougier.
=========================================================================
Date: Fri, 5 Aug 2005 16:47:12 +0100
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Research Analyst
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear All,
Datatech has the following requirement,
Research Analyst London to 26K Plus Benefits=20
You will be responsible for data analysis and quantitative research for a=20
rapidly expanding consultancy. =20
Whilst working on a portfolio of blue chip clients=92 analytical needs, you =
will create online surveys, research reports and presentations. =20
You are a high calibre analytical graduate with a minimum of one years=92=20
experience working with databases/datasets. =20
This is a first class opportunity to work for a successful and dynamic=20
consultancy that will allow you to develop to your full potential. =20
If you are interested in the above position you can contact me in=20
confidence or email me a copy of your CV. For details of more vacancies,=20
see our website at www.datatech.org.uk
Roisin McCarthy=20
Senior Consultant=20
Datatech=20
The Barn
Bartons Lane
Old Basing=20
Basingstoke=20
Hants=20
RG24 8AE
Tel: 01256 314 660=20
Fax: 01256 314 669
Email: [log in to unmask]
=========================================================================
Date: Fri, 5 Aug 2005 16:48:30 +0100
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Circulation Analyst
Dear All,
Datatech has the following requirement,
Circulation Analyst London to 28K Plus Benefits
You will provide ad-hoc analysis and interpretation of quantitative data
for a globally recognised media organisation.
Responsibilities will include competitor analysis, preparing management
reports and analysing pertinent circulation information.
You are a highly numerate graduate with two years' plus experience,
together with knowledge of statistical software such as SAS or SPSS.
You will be able to demonstrate attention to detail/accuracy allied to an
inquisitive and challenging mind.
This is a fantastic opportunity to flex your analytical ability and work
with a highly successful team.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
Tel: 01256 314 660
Fax: 01256 314 669
Email: [log in to unmask]
=========================================================================
Date: Fri, 5 Aug 2005 20:18:07 +0430
Reply-To: rasool khanahmadi <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: rasool khanahmadi <[log in to unmask]>
Subject: help me with reference
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Dear all
I need to a copy of the following article , please send me a copy by
[log in to unmask]
Ipinyomi,R.A. (1986). Equineighboured experimental designs.
Austral. J. Statist.28,79-88
thanks
=========================================================================
Date: Fri, 5 Aug 2005 10:49:55 -0700
Reply-To: richard bowyer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: richard bowyer <[log in to unmask]>
Subject: Query: Formula for Var(p) a proportion in a cluster sample
Mime-Version: 1.0
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Hi All,
Does anyone have the formula for var(p) in a cluster sample where p is a
proportion?
Many thanks,
Richard.
=========================================================================
Date: Sat, 6 Aug 2005 02:39:56 +0100
Reply-To: Kubong Mbah <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kubong Mbah <[log in to unmask]>
Subject: MGF of Inverted Gamma
MIME-Version: 1.0
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Content-Transfer-Encoding: 8bit
Does anybody know how to get the moment generating
function of Inverse Gamma? I will be pleased if there
is any reference as to this
Alfred
___________________________________________________________
Yahoo! Messenger - NEW crystal clear PC to PC calling worldwide with voicemail http://uk.messenger.yahoo.com
=========================================================================
Date: Fri, 5 Aug 2005 21:55:04 -0400
Reply-To: Barry Zajdlik <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Barry Zajdlik <[log in to unmask]>
Subject: Pseudocode for Data Recombination Problem
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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Hi All,
I hope someone can point me in the right direction on a data
recombination problem. Is it a statistics problem? - not really but it
arose in the context of a statistics problem. Perhaps some of you have
had experience with this situation and could expedite a solution.
I have a matrix of attributes that tells me whether to combine samples;
1 if a pair should be combined and zero otherwise. Samples can only be
combined if all possible pairwise comparisons among samples are tagged
as one. For example if a =b and b= c but a does not equal c, we cannot
state a = b = c. Nor can I state a = b and b = c as the sample can only
be used once. In this example no combinations of samples are possible.
A few more examples using a 4x4 matrix with column and row labels a, b,
c and d follow illustrate other scenarios.
Example 1:
1, 1, 0, 0
1, 1, 0, 0
0, 0, 1, 1
0, 0, 1, 1
In this case the two groups that should be produced are: ab and cd.
Example 2:
1, 1, 1, 0
1, 1, 1, 0
1, 1, 1, 0
0, 0, 0, 1
In this case the two groups that should be produced are: abc and d.
Example 3:
1, 1, 1, 0
1, 1, 1, 0
1, 1, 1, 1
0, 0, 1, 1
In this case the four groups that should be produced are: a, b, c and
d.
1, 0, 0, 1
0, 1, 0, 0
0, 0, 1, 0
1, 0, 0, 1
In this case the three groups that should be produced are: ad, b and c.
Any leads for this seemingly common (but new to me) problem would be
appreciated. I will eventually program it in R.
Cheers,
Barry
=========================================================================
Date: Sat, 6 Aug 2005 10:51:43 +0100
Reply-To: shirley coleman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: shirley coleman <[log in to unmask]>
Subject: Operational Risk Management in Newcastle
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Content-Transfer-Encoding: quoted-printable
A unique opportunity to get updated on recent advances in Operational =
Risk Management is offered on Wednesday September 14th 2005 in the =
context of an ENBIS pre-conference workshop in Newcastle upon Tyne, UK. =
The workshop leaders, Professor Paolo Guidici and Dr. Luciana dalle =
Valle are combining theoretical expertise with practical experience in =
major projects for major banks in Italy. They will present both modern =
theoretical and practical aspects of Operational Risk management. =
Participation fee is 100 Euros. ENBIS5, the fifth conference of the =
European Network for Business will include a special session on Risk =
Management chaired by Professor Henry Wynn, a world expert in Risk =
Management and Head of the Statistics Department at the London of School =
of Economics.
More information on the workshop is available at:
http://www.enbis.org/newcastleconference/workshops.html#riskmgt =
<https://owa.ncl.ac.uk/exchweb/bin/redir.asp?URL=3Dhttp://www.enbis.org/n=
ewcastleconference/workshops.html%23riskmgt>=20
More information on ENBIS5 is available at:
http://www.enbis.org/events.html#newcastleconference =
<https://owa.ncl.ac.uk/exchweb/bin/redir.asp?URL=3Dhttp://www.enbis.org/e=
vents.html%23newcastleconference>=20
Dr Shirley Y Coleman,
Technical Director of ISRU,
Industrial Statistics Research Unit,
University of Newcastle
President of ENBIS
Chair of RSS Quality Improvement Section
=========================================================================
Date: Sun, 7 Aug 2005 16:06:08 +0100
Reply-To: John Polak <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Polak <[log in to unmask]>
Organization: Imperial College London
Subject: Post Doctoral Research Fellowship in Transport Risk Management
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask]
Comments: cc: [log in to unmask]
MIME-Version: 1.0
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Content-transfer-encoding: Quoted-printable
With apologies for cross posting
CENTRE FOR TRANSPORT STUDIES
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
IMPERIAL COLLEGE LONDON
Salary range: =A329,699 to =A335,979 per annum
Fixed term for 3 years in the first instance with possibility of extension
Imperial College London is to set up a new Transport Risk Management
Centre. The Centre will be located within the Centre for Transport
Studies (CTS) in the Department of Civil and Environmental Engineering.
The aims of the Transport Risk Management Centre are to carry out
research and teaching in the risks related to any mode of transport: rail,=
road, aviation and water. The Centre is concerned especially with safety
risks, but other forms of risk, particularly environmental, may also be
addressed. The Transport Risk Management Centre will work with other
staff in the CTS who are already working in these fields. Information
about CTS is at http://www.imperial.ac.uk/cts.
The Centre's initial funding will be provided by the Lloyd's Register
Educational Trust. The Trust will provide funding for a Professor, a
Research Associate and PhD students. The professor is Andrew Evans.
We are now seeking a Research Associate. The person appointed will play
a major role in working with Professor Evans to develop the Transport
Risk Management Centre within CTS with a long term future, working on
a core group of topics, and collaborating with the other members of CTS
and Department, together with research students.
An application form and further details are available from:
https://www.imperial.ac.uk/employment/research/index.htm#0909trans
port. Informal questions may be raised with Professor Andrew Evans (
[log in to unmask]; +44 (0)20 7594 6043).
Please return completed application forms to [log in to unmask] or by
post to J Sime, Centre for Transport Studies, Skempton Building,
Imperial College London, London SW7 2AZ.
Closing date: 9 September 2005
Valuing diversity and committed to equality of opportunity.
--
Prof. John Polak
Head of Centre for Transport Studies
Department of Civil and Environmental Engineering
Imperial College London
London SW7 2AZ
T: +44-(0)20-7594-6089
F: +44-(0)20-7594-6102
http://www.imperial.ac.uk/transport-studies
=========================================================================
Date: Mon, 8 Aug 2005 16:38:42 +1000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "David R. Lovell" <[log in to unmask]>
Subject: JOBS: Postdoctoral Fellowships at CSIRO Mathematical and
Information Sciences
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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Dear All,
(Apologies for cross posting.)
I'd like to draw your attention to CSIRO Postdoctoral Fellowship Scheme
positions at CSIRO Mathematical and Information Sciences (CMIS)
http://recruitment.csiro.au/asp/job_details.asp?RefNo=3D2005/793
There are some great opportunities across a range of topics, including
bioinformatics, biostatistics, image analysis, hierarchical modelling,
fluid dynamics, optimisation, decision making, fracture mechanics,
climate forecasting...
Applications close 1 September 2005. We welcome and encourage
applications from talented and enthusiastic researchers who want to make
a positive impact through science.
Cheers,
David
PS. I'd be very pleased to hear from anyone interested in modelling the
effect of High Pressure Thermal Sterilization (HPTS) on microorganisms
in food (Key Research Area #7).
Dr David R Lovell (David.Lovell @ csiro.au)
Leader, Bioinformatics for Agribusiness
CSIRO Mathematical and Information Sciences
GPO Box 664, ACT 2601
02 6216 7042 (w) 02 6216 7111 (f) 0419 167 136 (m)
=========================================================================
Date: Mon, 8 Aug 2005 08:22:29 +0100
Reply-To: Fiona Matthews <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fiona Matthews <[log in to unmask]>
Subject: JOB: Career Development Fellow, MRC Biostatistics Unit, Cambridge
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MRC Biostatistics Unit, Cambridge
http://www.mrc-bsu.cam.ac.uk
Career Development Fellow
The MRC Biostatistics Unit aims to advance medical science by the=20
development of statistical methodology. It is one of Europe=92s leading=20
biostatistics research institutions and comprises a number of=20
internationally renowned statisticians.
This is a 3 year training and development position for a post-doctoral=20
scientist who has either just completed their doctoral studies, or is=20
moving into a new research discipline. It provides opportunities to=20
develop research project skills as well as collaborative links with=20
colleagues within Cambridge University and elsewhere.
The focus of this post is on complex multistate and Bayesian modelling=20
in longitudinal data analysis, with applications including missing data=20
problems and public health modelling. The work will be composed of=20
methodological development with direct application in applied studies.
The starting salary will be in the range of =A324,500 to =A325,500 per an=
num=20
(depending on qualifications and experience), supported by a flexible=20
pay and reward policy, 30 days annual holiday entitlement and an=20
optional final salary MRC pension scheme. Excellent sports and social=20
facilities are also available on site.
Further details of the post are available from Peter Ilian,
Unit Administrator (tel: 01223 330397, email:=20
[log in to unmask]).
Potential candidates wishing to discuss the position may do so by=20
contacting the Unit Administrator in the first instance.
Applications should include a covering letter and a full CV with the=20
contact details of two academic or professional referees who can be=20
approached prior to interview.
Quoting job reference BSU/705/13 e-mail your application to:=20
[log in to unmask] or post to: Recruitment Office, Personnel=20
Department, MRC Centre, Hills Road, Cambridge, CB2 2QH.
Closing date: 19 August 2005
--=20
Fiona E Matthews (Dr) =09
MRC Biostatistics Unit Phone: 01223 330391=20
Institute of Public Health Fax: 01223 330388
University Forvie Site =09
Robinson Way
Cambridge CB2 2SR Email: [log in to unmask]
=========================================================================
Date: Mon, 8 Aug 2005 09:05:01 +0100
Reply-To: Robert Aykroyd <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Robert Aykroyd <[log in to unmask]>
Subject: PhD: EPSRC/CASE Studentship at Leeds
I should be grateful if you would bring the following advert to the
attention of any likely MSc students or recent graduates... A pdf advert is
attached.
Please note that this position is being re-advertised. Previous candidates
are permitted to re-apply.
Thanks, Robert.
=====================================================================
Dr Robert G. Aykroyd,
Department of Statistics,
University of Leeds,
LEEDS, LS2 9JT, UK.
UNIVERSITY OF LEEDS
DEPARTMENT OF STATISTICS
EPSRC/CASE PhD Studentship
A WAVELET-LIFTING APPROACH TO SPATIAL-TEMPORAL PREDICTION APPLIED TO CROP
MONITORING
The Department of Statistics, in collaboration with the Central Science
Laboratory York, invites applications for a fully funded EPSRC/CASE PhD
studentship. The studentship is available for 3 to 3.5 years and will cover
fees and maintenance. The tax-free maintenance allowance is at the level of
15,000 pounds per year plus a further statistics enhancement of up to 2,000
pounds per year.
Please note that the full studentship is open to applicants from the UK and
EU (with 3 years residency in the UK), and for fees only for other EU
applicants.
PROJECT OUTLINE
Defra have funded the monitoring of pests and diseases across a wide variety
of important crops over the last three decades. In particular, the Central
Science Laboratory have access to a unique database containing records of
pest numbers, incidence and severity of disease (taken at various time
intervals) and effectiveness of crop management practice. The aim is to
analyse the data to predict risk to the crops, seasonal variation in this
risk and the effectiveness of control strategies, to alert farmers of
emerging threats and advise on appropriate actions.
Statistically, the problem we wish to address is one of describing the
densities of key environmental quantities over a large and geographically
diverse region given measurements on an irregular grid. In some cases,
several different quantities are measured (often on different grids),
resulting in several densities or response surfaces. Further, for some data
sets, these measurements are made at irregular time points, creating a
complex three- dimensional data set. Once these response surfaces are
estimated, they will be used to predict the incidence of pest explosions or
other undesirable events. Both logistic regression and Bayesian modelling
will be considered as methods of making these predictions. In addition, you
will receive training in a wide variety of modern applied statistical
techniques, computing and other transferable skills, and there is the
opportunity to attend courses and conferences in the UK and overseas.
The studentship is open to UK and EU candidates. Applicants should have, or
expect to obtain, at least an upper second class honours degree (or
equivalent) in mathematics, statistics or related subject. Note that
standard EPSRC regulations apply to this studentship.
For further details see the departmental web pages:
www.maths.leeds.ac.uk/statistics
the School of Mathematics Postgraduate brochure:
www.maths.leeds.ac.uk/school/postgraduate/BrocPDF4web.pdf
and the Central Science Laboratory web site pages:
www.csl.gov.uk/
Interested candidates should contact one of the following:
Dr Robert G Aykroyd or Dr Stuart Barber
Tel: 0113 343 5167; Tel: 0113 343 5146
[log in to unmask] [log in to unmask]
www.maths.leeds.ac.uk/~robert www.maths.leeds.ac.uk/~stuart
Department of Statistics,
University of Leeds,
Leeds, LS2 9JT, UK
=========================================================================
Date: Mon, 8 Aug 2005 13:18:45 +0430
Reply-To: rasool khanahmadi <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: rasool khanahmadi <[log in to unmask]>
Subject: help me with answer
Mime-Version: 1.0
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Dear all
please help me with your answer by=20
[log in to unmask]
What is existence condition and property of equineighboured design?
Rasool ahmadi,
thankyou.
=========================================================================
Date: Mon, 8 Aug 2005 11:53:09 +0100
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Cox regression SPSS : time dependent variables
MIME-Version: 1.0
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Hello everyone,
I am doing a Cox regression with time dependent covariates. I have 2
queries.
In this hypothetical example, I have the following data:
age sex time death
1 0 2 0
0 1 2 0
0 0 2 1
0 0 3 0
1 0 3 1
1 1 3 1
1 0 4 1
1 0 5 1
1 0 6 0
0 0 7 0
1 1 10 1
0 1 12 0
0 0 12 1
1 0 21 0
0 1 21 0
0 0 21 1
1 0 22 1
0 1 33 1
0 1 45 1
0 1 55 1
0 0 67 1
The model is generated with values for the parameters as:
Age: 1.650
Sex: 0.086
T_Cov*age: -0.015
Question 1)
Survival functions and hazard functions are calculated at the means.
These means are quoted as:
Covariate Means
Age: 0.321
T_Cov: 10.518
Sex: 0.455
T_Cov*age: 1.866
How are these covariate means calculated using the data above? It is
not simply an average of the appropriate columns.
2) If the baseline survival function at time 2 months is 0.0171 and I
wanted to calculate the value of the hazard function at this time for a
person with age=3D1 and sex=3D1, would it just be a case of using the
predictor:
1.650age + 0.086sex -0.015 t_cov *age =3D z
i.e. (1.650 * 1) + (0.086 * 1) + (-0.015*(2 * 1)) =3D 1.706
to generate the hazard function value: 0.0171*e^(1.706) =3D0.0942
Many thanks,
Kim.
=========================================================================
Date: Mon, 8 Aug 2005 13:28:36 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Re: Statistical Consultant
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Hi All,
An exciting opportunity has arisen:-
Senior Statistical Consultant required for unique opportunity - Leeds
Our client, a rapidly growing Insight Consultancy working at the forefront=20
of Econometric and Applied Statistical thinking is seeking a Senior=20
Statistical Consultant to lead projects that challenge traditional=20
analytical thinking. Working from modern airy offices you will be amongst=20
some of the most creative minds in the north. You will possess a degree,=20
preferably 2:1 or above, in Statistics or Econometrics. In addition you=20
will have 2+ year=92s experience using Statistical software such as SAS,=20
SPSS and S-Plus together with Regression Analysis, CHAID, Conjoint=20
Analysis and Econometric Techniques. These skills will be used to play a=20
vital role in managing and conducting analysis on major research projects=20
for big name brands and delivering powerful insights. This role would suit=20
an individual who has the drive and vision to take this already successful=20
department through to new heights and grow with the company. Call today to=20
apply for this unique opportunity! Ref: 8860
Location: Yorkshire / Leeds
Salary: Negotiable up to c.35K + Good Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8860/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Mon, 8 Aug 2005 13:45:23 +0100
Reply-To: "Hill, Robert" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Hill, Robert" <[log in to unmask]>
Subject: JOB: INFORMATION ANALYST, Glasgow
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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I have been asked to post the following advert. For further information
please use the contact number or email address below.
National Hepatitis C Cost Effectiveness Project
INFORMATION ANALYST
=A326,271 - =A330,733=20
(Review pending)
Fixed term or secondment for 2 years
Health Protection Scotland is committed to work in partnership with other=
s,
to protect the Scottish public from being exposed to hazards which damage=
their health, and to limit any impact on health when such exposures occur=
=2E
The Blood Borne Virus and Sexually Transmitted Infection (BBV&STI) Sectio=
n
provides expert advice and support on all aspects of BBV and STI work in
NHSScotland and provides the necessary surveillance systems for the
monitoring of BBVs.
We are seeking an Information Analyst to work on a 2 year project which w=
ill
involve the development of models to estimate the cost of the current and=
future healthcare burden associated with the Hepatitis C virus (HCV) in
Scotland and determine the cost-effectiveness of different HCV screening
approaches, designed to detect infected persons most in need of antiviral=
therapy.
A PhD or equivalent research experience in a relevant field of study is
essential. The postholder must have experience of implementing research
projects in a relevant subject area along with highly developed programmi=
ng
and analytical skills, including use of common statistical software
packages. Experience of preparing and presenting reports/papers for
publication is essential.=20
For an informal discussion about the post, please telephone Sharon
Hutchinson on 0141 300 1138.
An Application Pack and Job Description is available from the HR Departme=
nt
at HPS, Clifton House, Clifton Place, Glasgow by calling 0141 300 1197 (2=
4
hours) or by emailing [log in to unmask]
Please quote reference: HPS 23. Closing date: Friday 26th August 2005.
Please note CVs will not be accepted. =20
NHS NSS is an Equal Opportunities Employer and operates a no smoking poli=
cy.
Conference Announcement! Wed 26 October 2005
HAI: Focusing on Patient Safety - Murrayfield Stadium Conference Centre,
Edinburgh
Click <http://www.show.scot.nhs.uk/scieh/infectious/infhospital.html>to
view related web pages or contact Sonja Findlay
<mailto:[log in to unmask]> the Conference organiser=20
Robert Hill
Epidemiologist
SSHAIP Team
Health Protection Scotland (formerly SCIEH)
Clifton House
Clifton Place
Glasgow
G3 7LN
_________________________________________________________________=20
NHS National Services Scotland Disclaimer=20
The information contained in this message may be confidential or=20
legally privileged and is intended for the addressee only. If you have=20=
received this message in error or there are any problems please notify th=
e=20
originator immediately. The unauthorised use, disclosure, copying or=20
alteration of this message is strictly forbidden.=20
_________________________________________________________________=20
=========================================================================
Date: Mon, 8 Aug 2005 14:06:34 +0000
Reply-To: Michael Waller <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Waller <[log in to unmask]>
Subject: Job: Statistician - Institute of Cancer Research
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SECTION OF CANCER GENETICS
Statistician
The Institute of Cancer Research is at the forefront of international can=
cer=20
research and, with the Royal Marsden NHS Trust, forms the largest=20
comprehensive cancer centre in Europe. The Section of Cancer Genetics has=
an=20
international reputation for its work on understanding inherited=20
susceptibility to a number of tumours. We are expanding our programme of=20
work in statistical genetics and seek a researcher with relevant experien=
ce=20
in statistical methodology.
The successful candidate will contribute to ongoing studies as well as to=
=20
the design and analysis of new projects. Applications are invited for thi=
s=20
new 2-year Cancer Research UK post to work on genetic susceptibility to=20
cancer. There will be the possibility of renewal, subject to future grant=
=20
applications. Applicants must have: a postgraduate qualification in=20
statistics or equivalent qualification; experience in a research=20
environment; good organisational and interpersonal skills; self motivatio=
n,=20
the capacity to work in a team and the ability to produce reports to=20
deadlines. Work will be based in the new laboratories within the purpose=20
built Cancer Genome Centre in Sutton.
The starting salary will be in the range of =A322,887 to =A332,380 per an=
num=20
inclusive. Salary will be commensurate with qualifications and experience.
Potential applicants are encouraged to discuss the post with Richard=20
Houlston before applying (tel: 0208 722 4175; e-mail:=20
[log in to unmask]). Please Note - this email address is for=20
enquiries only and CVs must be submitted in line with the instructions=20
below.
To apply, please send two copies of your CV including the names and=20
addresses of two referees, to the HR Office, The Institute of Cancer=20
Research, 123 Old Brompton Road, London SW7 3RP quoting reference number=20
HAD50-1. For a job description and person specification please visit our=20
website at www.icr.ac.uk/jobs.html. Alternatively you may call our 24 hou=
r=20
recruitment line on 020 7153 5475.
Closing date for applications: 26th August 2005
=========================================================================
Date: Mon, 8 Aug 2005 12:20:09 -0400
Reply-To: "Heather Wainer (Editorial Assistant--Bayesian Analysis)"
<[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Heather Wainer (Editorial Assistant--Bayesian Analysis)"
<[log in to unmask]>
Subject: Bayesian Analysis -- first issue
Mime-Version: 1.0
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The first issue of the new electronic journal
BAYESIAN ANALYSIS has been published at
http://ba.stat.cmu.edu.
The first issue includes the following articles:
S. Fienberg, ``When Did Bayesian Inference Become `Bayesian'?"
A. Gelfand, J. Silander, S. Wu, A. Latimer, P. Lewis, A.
Rebelo and M. Holder, ``Explaining Species Distribution Patterns Through
Hierarchical Modeling," with commentary by J. Hoeting and J. VerHoef.
L. House, M. Clyde and Y. Huang, ``Bayesian Identification of
Differential Gene Expression Induced by Metals in Human Bronchial Epithelial
Cells."
D. Blei and M. Jordan, ``Variational inference for Dirichlet process
mixtures."
C. Holmes and L. Held, ``Bayesian auxiliary variable models
for binary and multinomial regression."
J. Andrade and A. O'Hagan, ``Bayesian robustness modelling using
regularly varying distributions."
BAYESIAN ANALYSIS is sponsored by the International Society
for Bayesian Analysis (ISBA). Its founding editors are
Alicia Carriquiry, Phil Dawid, David Heckerman, Xiao-Li Meng,
Christian Robert, Fabrizio Ruggeri, and Dalene Stangl.
BAYESIAN ANALYSIS seeks to publish a wide range of articles that
demonstrate or discuss Bayesian methods in some theoretical or applied context.
The journal welcomes submissions involving presentation of new computational
and statistical methods; reviews, criticism, and discussion of existing
approaches; historical perspectives; description of important scientific or
policy application areas; case studies; and methods for experimental design,
data collection, data sharing, or data mining. Evaluation of submissions is
based on importance of content and effectiveness of communication.
Our goal is to provide reports to authors within 10 weeks of submission
on at least 80% of articles submitted. We have achieved this goal for
the approximately 50 papers handled to date.
=========================================================================
Date: Mon, 8 Aug 2005 16:27:14 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dan Grove <[log in to unmask]>
Subject: Autoreply: allstat Digest - 5 Aug 2005 to 6 Aug 2005 (#2005-193)
I am on holiday until 29 August.
Sincerely
Dan Grove
=========================================================================
Date: Mon, 8 Aug 2005 19:49:48 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Anthony Rodriguez <[log in to unmask]>
Subject: Online Consulting Job
MIME-Version: 1.0
Content-Type: text/plain
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Dear Allstaters,
I am a doctoral student at the UofP working on my dissertation. In the United States, Chapter 3 of the dissertation deals with the methodology of the research study. Chapter 4 presents the results of the study.The school allows students to consult a professional statistician (a) to agree on the statistical tests to be used as well as (b) to calculate the results. The actual writing of Chapters 3 and 4 are done by the students. The students also are responsible for interpreting and presenting the results.
If anyone is interested in this online consulting job, please e-mail me your credentials and your rates.
Anthony (Tony) Rodriguez
[log in to unmask]
=========================================================================
Date: Tue, 9 Aug 2005 09:52:36 +0100
Reply-To: Gavin Gibson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gavin Gibson <[log in to unmask]>
Subject: JOB: EPSRC CASE STUDENTSHIP, HERIOT-WATT UNIVERSITY
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
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EPSRC CASE Studentship (PhD - 3.5 years funding)
(with Tullis Russell Papermakers, Markinch, Glenrothes, and=20
Biomathematics & Statistics Scotland, Edinburgh)
Statistical modelling and analysis of spatial processes in=20
anti-counterfeiting systems
Applications are invited from UK/EU candidates who have, or expect to=20
have, a good Honours/masters degree in mathematics or statistics to=20
undertake the above 3.5-year research project commencing 1 October 2005,=20
under the supervision of Professor Gavin Gibson (AM&S) and Professor=20
Chris Glasbey (Biomathematics and Statistics Scotland). Project funding=20
covers all tuition fees, and includes annual maintenance payments to the=20
student in the form of an EPSRC stipend (=A312000 in 2005/6 and rising in=
=20
later years) plus a contribution of =A32000 per annum from the industrial=
=20
partners, Tullis Russell Papermakers. The EPSRC stipend is payable to UK=20
candidates and to non-UK candidates from the EU who have spent the last=20
3 years in the UK undertaking undergraduates studies. Generous funds=20
for equipment and travel are also available.
The project will investigate problems in statistical image analysis=20
arising in anti-counterfeiting systems that use random distributions of=20
fibres in paper to 'fingerprint' cheques, bonds and other high-value=20
items. It will involve extensive interaction with Tullis-Russell=20
Papermakers, who are world leaders in the development of=20
anti-counterfeiting systems, and will supply data and extensive=20
knowledge of paper-making technology to the project. A wide range of=20
mathematical modelling/statistical problems will be considered. These=20
include: the statistical modelling of fibre deposition in the paper=20
manufacturing process; parsimonious feature extraction from digitised=20
images; modelling degradation of items through folding and other=20
processes; the design of authentication algorithms. The project offers=20
the opportunity to work with techniques at the forefront of statistical=20
image analysis including: point process models, spatio-temporal=20
modelling methods, Bayesian inference and Markov chain Monte Carlo;=20
wavelets and related transforms. It will also provide the student with=20
valuable industrial experience and the chance to make an important=20
contribution to the advancement of a rapidly developing technology of=20
worldwide importance.
The student will be based in the Department of Actuarial Mathematics and=20
Statistics (rated 5 in RAE2001) on Heriot-Watt's Riccarton campus. They=20
will spend extended periods working on-site at Tullis-Russell's paper=20
mill in Glenrothes and working with Professor Glasbey at BioSS's=20
headquarters on Edinburgh's King's Buildings campus.
For further information and an application form please contact Gavin=20
Gibson, Actuarial Mathematics and Statistics, Heriot-Watt University,=20
Edinburgh EH10 4BY. Tel. +44 131 451 3205, e-mail: [log in to unmask]
--=20
******************************************************
Gavin Gibson
Professor of Statistics
School of Mathematical and Computer Sciences
Heriot-Watt University
Riccarton=20
Edinburgh EH14 4AS
United Kingdom
Tel: 0131-451-3205 Fax: 0131-451-3249
******************************************************
=========================================================================
Date: Tue, 9 Aug 2005 10:49:11 +0100
Reply-To: Felicity Clemens <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Felicity Clemens <[log in to unmask]>
Subject: JOB: Statistician, Public Health Directorate
Mime-Version: 1.0
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Dear all
Please find below details for a graduate position at Richmond and =
Twickenham PCT. Please reply to the details given below if interested, and =
not to me.
Many thanks
Felicity Clemens
RICHMOND AND TWICKENHAM PCT
Statistician
Public Health Directorate
Band 5 - Salary range : =A318,689 - =A324,198 per annum (pro-rata)
Plus 15% High Cost of Living Supplement (minimum of =A32,750 to maximum of =
=A33,850 per annum pro-rata)
Ref: PH21
Richmond and Twickenham PCT was formed in April 2002 and covers a =
population of nearly 180,000 people. Links exist with the Local Borough =
of Richmond upon Thames, the London Health Observatory, South West London =
Strategic Health Authority and other agencies.
This is an exciting and new post where data on cancers, circulatory =
diseases, teenage pregnancy, mental health, obesity, smoking . . . and =
their risk factors, need to be analysed. The post holder will need to be =
confident in applying appropriate statistical methods in analysis of data =
for the compilation of reports for a variety of audiences. For example, =
we would want you to find the most important prognostic factors for =
survival among patients identified with breast cancer and summarise these =
results for use by Public Health colleagues.
An MSc in Medical Statistics is desirable, but Statistics graduates will =
be considered. This post will give the opportunity for development - =
attendance of courses and participation at conferences.
For an informal discussion contact Dr Tom Morgan (tel: 020 8973 3079; =
email: [log in to unmask]).
We actively encourage applicants to apply on-line at www.richmondandtwicken=
ham.nhs.uk. Alternatively, you can contact the Recruitment Line on 020 =
8973 3197 quoting reference PH21.
Closing date: Friday, 19th August 2005
Interview date: W/c 5th September 2005
We are proud to have achieved Practice Status as part of the NHS Improving =
Working Lives initiative in recognition of our commitment to flexible =
careers, equality and staff involvement.
****************
=========================================================================
Date: Tue, 9 Aug 2005 15:04:56 +0100
Reply-To: Stephan M Rudolfer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stephan M Rudolfer <[log in to unmask]>
Organization: The University of Manchester, UK
Subject: COURSES: Causal Analysis in Stata & Generalized Linear Latent and
Mixed Models:gllamm
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
The following courses to be held in Manchester, UK, may be of
interest to applied statisticians.
Causal Analysis in Stata 15th-16th September 2005
Graham Dunn and Andrew Pickles
Generalized Linear Latent and Mixed Models:gllamm 28th-30th
September, 2005
Andrew Pickles and Milena Falcaro
For further details see
www.ccsr.ac.uk/courses/external/2005-2006/
{ HYPERLINK "http://www.ccsr.ac.uk/courses/external/2005-2006/" }
--
Dr Stephan M. Rudolfer
Honorary Research Fellow in Biostatistics & Mathematical Statistics
Chairman, Manchester Group, Royal Statistical Society
Biostatistics Group, Division of Epidemiology & Health Sciences
Faculty of Medical & Human Sciences, Stopford Building
The University of Manchester, MANCHESTER M13 9PT
Tel: +44 161 275 5054 Fax: +44 161 275 5205
Email: [log in to unmask]
Web: http://www.maths.man.ac.uk/DeptWeb/Homepages/smr/
=========================================================================
Date: Tue, 9 Aug 2005 15:53:56 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Continuous versus categorical dependent variable
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Dear all
I would be very interested to receive constructive suggestions (particularly rules of thumb where possible) as to the stage at which a dependent variable may be regarded (albeit crudely) as continuous. To explain further, I am specifically interested in a scenario where the dependent variable ranges over values 1, 2, 3, ... n, where n is some fixed value and the question is which factors are associated with the dependent variable. In such cases, I might for example, choose to transform the dependent variable into a binary variable by categorization and perform a binary logistic regression analysis. However, I might also wish to use the raw data and carry out a multiple regression analysis (provided the necessary assumptions are satisfied). My more specific question therefore could be presented as, what value of n is high enough in order for me to consider my dependent variable as worthy of consideration for a multiple regression analysis (ignoring for now all other issues !
re
assumptions to be tested)?
I look forward to receiving your views
Best wishes
Margaret
---------------------------------
Yahoo! Messenger NEW - crystal clear PC to PC calling worldwide with voicemail
=========================================================================
Date: Tue, 9 Aug 2005 16:11:08 +0100
Reply-To: "Jon Heron (ALSPAC)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Jon Heron (ALSPAC)" <[log in to unmask]>
Subject: Re: Autoreply: allstat Digest - 5 Aug 2005 to 6 Aug 2005
(#2005-193)
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
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Will we all be getting postcards too?
J
--On 08 August 2005 16:27 +0100 Dan Grove <[log in to unmask]> wrote:
> I am on holiday until 29 August.
>
> Sincerely
>
> Dan Grove
>
--------------------------------------------------
Jon Heron, PhD
Research Statistician
Avon Longitudinal Study of Parents and Children
[log in to unmask]
=========================================================================
Date: Tue, 9 Aug 2005 17:30:50 +0100
Reply-To: "Smith P.W." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Smith P.W." <[log in to unmask]>
Subject: WORKSHOP: Methods for the Analysis of Panel Data, Southampton, UK
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***********************************************************************
ANNOUNCEMENT=20
***********************************************************************
Symposium on the Convergence of Methods for the Analysis of Panel Data
***********************************************************************
Southampton Statistical Sciences Research Institute (S3RI), University
of Southampton, Southampton, UK, Thursday 6 April and Friday 7 April,
2006.
The aims of this symposium are to explore the similarities and
differences of the various approaches to analysing panel data, their
advantages and disadvantages, their ability to handle observational data
from complex sample surveys, and their ability to account for panel
attrition, item non-response and measurement error.
The Symposium will feature oral presentations of invited and contributed
papers.
The invited speakers include: Ken Bollen (North Carolina), Joop Hox
(Utrecht), Andrew Pickles (Manchester), Fiona Steele (Bristol), Rolf
Steyer (Jena), Nanny Wermuth (Gothenburg).=20
Abstracts for papers concerning the Symposium's aims to be considered as
contributed papers should be sent to [log in to unmask] by 31
October 2005. These should be at most 500 words. The Scientific Advisory
Committee will select the contributed papers, and authors will be
advised of the committee's decision by 30 November 2005.
For further information see the Symposium website:=20
http://www.s3ri.soton.ac.uk/events/2005/paneldata.php
The Symposium is to be preceded by a one-day short-course on the
Analysis of Panel Data, to be given by Professor Peter Smith (S3RI), Dr
Ann Berrington (S3RI) and Dr Patrick Sturgis (Surrey).=20
For further information about the short-course, see the website:=20
http://www.s3ri.soton.ac.uk/events/2005/analysisofpaneldata.php
The numbers of participants on both the Symposium and the short-course
are limited, and for this reason we encourage you to register as soon as
possible. Information and registration forms are available from the
above websites. =20
Please contact the Symposium organisers with any queries:=20
Peter Smith and Ann Berrington
Southampton Statistical Sciences Research Institute
University of Southampton
Highfield
Southampton
SO17 1BJ, UK
E-Mail: [log in to unmask]
=========================================================================
Date: Tue, 9 Aug 2005 19:26:14 +0100
Reply-To: Carole Cull <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carole Cull <[log in to unmask]>
Subject: wrong reference - intraclass correlations
MIME-Version: 1.0
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My apologies - the reference to Rankin & Stokes was wrong - the correct
version is below.
Reliability of assessment tools in rehabilitation: an illustration of
appropriate statistical analyses. G Rankin M Stokes (1998) Clinical Rehab.
12, 187-199.
Carole
Dr Carole A Cull
Diabetes Trials Unit
Oxford Centre for Diabetes, Endocrinology and Metabolism
Churchill Hospital
Headington
Oxford
OX3 7LJ
UK
tel: +44 (0) 1865 857251
fax: +44 (0) 1865 857254
=========================================================================
Date: Tue, 9 Aug 2005 22:48:28 +0200
Reply-To: "Menezes, R.X. (MSTAT)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Menezes, R.X. (MSTAT)" <[log in to unmask]>
Subject: JOB: Scientific researcher, SNP data analysis, The Netherlands
MIME-Version: 1.0
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
___________________________________________________________________
Function title : Scientific researcher in applied statistics for SNP =
data analysis
Work location : Center for Human and Clinical Genetics, Leiden
Company : Leiden University Medical Center
____________________________________________________________________
FTE: The position is full time for a period of two years.
=20
Available per: 1/11/2005
=20
Company profile:=20
The Center for Human and Clinical Genetics at the Leiden University =
Medical Center (LUMC) participates in several excellent institutes =
including the Centre for Medical Systems Biology (CMSB). By combining =
our vast knowledge on a number of disease areas with the latest research =
technologies including genomics and bioinformatics, researchers aim to =
elucidate the causes of various common diseases. Being part of an active =
group with large experience in genomic and transcriptomic research, the =
successful applicant will be in contact with other cutting-edge projects =
in those areas.=20
=20
Function Description:=20
The Center for Human and Clinical Genetics has implemented technologies =
for the high-throughput measuring of single nucleotide polymorphisms =
(SNPs) to study genomic sequence variation between individuals. These =
studies could help elucidate the molecular backgrounds of genetically =
complex diseases and complex relationships in families for genetic =
counselling. SNP arrays offer a high-resolution coverage of the genome =
that we would like to exploit further to study copy number variation in =
combination with sequence variation. We are looking for an enthusiastic =
scientific researcher who will develop new statistical tools for the =
quantitative analysis of SNP data and apply them to SNP typing studies =
carried out within the CMSB. One of the objectives of this project is =
the development of a biolgist-friendly software tool to analyze and =
integrate SNP data.
=20
Requirements:=20
The successful candidate has a recent PhD degree in statistics or =
bioinformatics and shown interest in multidisciplinary research. He/she =
has relevant working experience in a scientific research setting, a =
proven keen interest to apply statistical methods in genomics research =
and is able to pick up new clinical and biological concepts quickly. =
Advanced command of statistical packages (e.g. R, SAS, S-Plus) and =
scripting skills are essential, and experience in SNP data analysis is =
an advantage. The candidate should be proficient in English (speaking =
and writing), a good communicator, and a strong team player.
=20
Contact information:=20
For informal queries please contact Dr. Judith Boer, Center for Human =
and Clinical Genetics, LUMC, by phone (071-527 6611) or email =
([log in to unmask]). CV and cover letter describing your interests and =
goals including the addresses of 2-3 references should be stated in =
English and sent before August 26 to:
=20
LUMC Divisie 5, Dienst Personeel & Organisatie
Postbus 9503, 2300 RA Leiden
=20
Or sent per e- mail to:
Div5P&[log in to unmask]
=========================================================================
Date: Wed, 10 Aug 2005 09:50:27 +0100
Reply-To: "Thorley, Anne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Thorley, Anne" <[log in to unmask]>
Subject: Job: Postdoctoral Research Associate at Lancaster University
MIME-Version: 1.0
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Post-doctoral Research Associate position in Stochastic Numerical =
Analysis and Statistics
Applications are invited for a two year post-doctoral position on the =
project `Langevin Algorithms: Questions at the Numerical Analysis and =
Statistics interface (LAQUEST)' which has recently been funded by EPSRC.
The research associate will work as part of a multi-disciplinary team =
based at the Mathematics and Statistics department at Lancaster =
University and the Mathematics Institute at Warwick University. The =
project will be jointly supervised by Gareth Roberts (Lancaster) and =
Andrew Stuart (Warwick), and a further research associate, originally =
based at Warwick, will complete the LAQUEST research team.
Applicants should have or be nearing completion of a PhD in Numerical =
Analysis, Probability or Statistics, should be interested in working at =
the interface between Stochastic Numerical Analysis and Statistics as a =
member of a research team.
The successful applicant will be employed at Lancaster University, but =
it is anticipated that (s)he will spend considerable time at both =
Lancaster and Warwick during the course of the grant. The salary for the =
position will be on the RA 1A scale, currently =A319,460 to =A329,128.
To apply or receive further information on the post please visit: =
http://www.personnel.lancs.ac.uk/vacancydets.aspx?jobid=3DA528
Informal enquiries can be made to Professor Gareth Roberts =
([log in to unmask], phone +44 (0) 1524 593948.
Closing date for applications is 31st August 2005
=========================================================================
Date: Wed, 10 Aug 2005 11:34:18 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helen Brown <[log in to unmask]>
Subject: Mixed models course, Edinburgh, 3-5 October
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
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There are still a few places available on this course:
MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS
3 =96 5 October 2005
Edinburgh
This course will cover the statistical background to the mixed model and =
will
emphasise its practical application in medical data with particular refer=
ence
to clinical trials. All analyses will be illustrated using SAS and lectu=
res
will be combined with practical sessions in order to reinforce concepts.
Topics covered include:
DAY 1
=95 General concepts and underlying statistical theory
=95 Use and interpretation of PROC MIXED
=95 Multi-centre trials and meta-analysis
=95 Consideration of issues such as biased standard errors, signif=
icance
testing
and negative variance components.
DAY 2
=95 Repeated measures trials
=95 Random coefficients models
=95 Crossover trials
=95 More complex trial designs
=95 Introduction to Bayesian methods.
DAY 3
=95 Generalised linear mixed models
=95 Mixed models for ordinal data
=95 Use of SAS for fitting mixed models to non-normal data.
THE SPEAKERS
Robin Prescott: Robin is Director of the Medical Statistics Unit of The
University of Edinburgh and is Professor of Health Technology Assessment.=
He
has been working in the medical field for over thirty years and has a
particular interest in cross-over trials. He has wide experience of
multi-centre trials and of working with the pharmaceutical industry.
Helen Brown: Helen is a Principal Statistician within NHSScotland. She h=
as over
twenty years of practical experience as a medical statistician in both ac=
ademic
and commercial environments. She has a research interest in the applicat=
ion of
mixed models in the medical field.
The speakers are the authors of Applied Mixed Models in Medicine, in the =
John
Wiley Statistics in Practice series.
WHO SHOULD ATTEND
This course is directed at medical statisticians who wish to understand t=
he
statistical background to mixed models and to carry out analyses using SA=
S.
WHY ATTEND
Conventionally, clinical data is analysed using fixed effects models. Ho=
wever,
benefits can often be gained by using a mixed model. For example: in rep=
eated
measures trials full allowance can be made for the correlation occurring
between the repeated observations even if data are missing; in multicentr=
e
trials or meta analyses treatment standard errors are more appropriately =
based
on between centre/trial variation (fixed effects standard errors are base=
d on
within centre/trial variation); in crossover trials more accurate treatme=
nt
means are often achieved by combining within and between patient estimate=
s.
Previously the use of these models has been limited by heavy computationa=
l
requirements and a lack of generally available software, but this is now =
much
less of a restriction with the introduction of suitable procedures into w=
ell
known packages such as SAS. As with any statistical technique a firm
understanding of the theoretical background is essential to allow its eff=
ective
application and to obtain a clear interpretation of results.
COURSE FEES
Standard rate =A3795
Academic institutions and registered charities =A3595.
Fees include daily morning coffee, lunch, afternoon tea, a course dinner =
and a
delegate=92s pack including full course notes.
REGISTRATION AND FURTHER INFORMATION
For further information email: [log in to unmask] Alternatively you can b=
ook
online
at: www.lifelong.ed.ac.uk/cpd/courses.
TERMS AND CONDITIONS
Payment should accompany your registration form. If invoiced, fees must =
be paid
in full at least five working days before the course is due to commence. =
Failure
to pay may result in attendance being refused.
All payments should be in GBP sterling. Please note that participants ma=
king
payment by international bank transfer are responsible for all (payer=92s=
and
payee=92s) bank charges and should adjust the payment as appropriate to t=
ake
account of this.
For cancellations received at least fifteen working days before the cours=
e
commences, a 20% administrative charge will be made. After this date, fee=
s will
not normally be refunded but places are fully transferable. Cancellation=
s must
be notified in writing.
The University of Edinburgh reserves the right to cancel or postpone the =
course,
in which case fees will be refunded in full. In the event of cancellatio=
n, The
University of Edinburgh will not be held liable for registrants=92 travel=
or
accommodation costs.
VENUE
The course will take place in the Holiday Inn, Edinburgh-North, one mile =
from
the city centre and easily accessible from the main railway station and
airport.
ACCOMMODATION
Course participants have the opportunity to stay at the Holiday Inn,
Edinburgh-North at the reduced rate of =A390 per night. All bedrooms in =
the
hotel have modem points. For further information please contact Reservati=
ons on
0131 332 3408 quoting The University of Edinburgh.
Alternatively please contact our accommodation agency, Murray Accommodati=
on.
Telephone: 08707 509808 (UK) or +44 131 477 3339 (overseas)
Email: [log in to unmask]
or visit www.murray-accommodation.co.uk
=========================================================================
Date: Wed, 10 Aug 2005 08:55:48 -0400
Reply-To: Indranil Sen <[log in to unmask]>
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<[log in to unmask]>
From: Indranil Sen <[log in to unmask]>
Subject: Correlated Weibul
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Dear friends,
I have found a nice reference in,"J. C. Lu and G. K. Bhattaacharyya,
=13Some newconstructions of bivariate Weibull models",=14 Ann. Inst. Stat.
Math., vol. 42, no. 3, pp. 543=16559, 1990 for generating correlated
weibull processes.
I was wondering if anyone has tried generating negatively correlated
random processes?
Thanks for the help.
Warm Regards,
Indranil
=========================================================================
Date: Wed, 10 Aug 2005 14:59:35 +0100
Reply-To: "Best, Nicky G" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Best, Nicky G" <[log in to unmask]>
Subject: JOB: MRC-funded PhD studentship in Bayesian spatial statistics /
environmental epidemiology
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This is a re-advertisement of the following 4 year MRC-funded PhD
studentship
=20
"Geographical case-control designs for investigating environmental risk
factors for disease"
Project Description:
=20
Disease mapping methods at small-area level are widely used for
describing spatial variations in disease risk (Best et al, 2005).
Ecological regression or geographical correlation studies extend the
approach to include area-level covariate information in an attempt to
explain patterns of localised excess risk in terms of exposure to
putative environmental or social risk factors. This PhD project aims to
develop a new study design which can be thought of as a 'geographical
case-control' study, together with associated statistical methodology,
which can be used to formally test hypotheses about potential
environmental/social risk factors and their link with disease.=20
The basic idea of the design is as follows: (1) each of the study areas
is classified as a case area or a control area (or neither) following a
criterion to be defined; (2) area level exposures of interest are
collected for each of the case and control areas; (3) standard
case-control analysis is conducted taking the case-control status of
each area as the response, and using area-level exposures of interest as
the explanatory variables. A particular advantage of the proposed design
over standard ecological regression analysis is that only a selected
subset of areas is used, allowing for more detailed exposure assessment
in these areas.=20
The project will develop and compare various definitions for choosing
case and control areas using a variety of methods for estimating the
underlying risk in each area. These will include methods for
simultaneously modelling two or more diseases to identify patterns of
shared and disease-specific risk, in addition to methods based on a
single disease. A decision-theoretic approach will also be considered,
involving development of suitable loss functions to help define optimal
criteria for selecting case and control areas. The latter will build on
recent related work by Richardson et al (2004) and Stern and Cressie
(1999). The main estimation framework to be used will be that of
Bayesian hierarchical models, implemented in the WinBUGS software.
Having developed criteria for choosing case and control areas, the
project will then rigorously explore and test the properties of this new
study design - for example, the statistical power of the method, and
interpretation of the estimated covariate effects in the light of issues
such as ecological bias.=20
Simulated data will be used to develop and test the methodology, which
will then be applied to a series of real case studies using
geographically-referenced health and environmental data held by the
Small Area Health Statistics Unit (SAHSU; www.sahsu.org) in the
Department of Epidemiology and Public Health. Possible applications
include a geographical case-control study to follow-up an ongoing SAHSU
study of congenital malformations around landfill sites and a recent
study on childhood leukaemias in relation to environmental benzene.
=20
Application procedure:
Interested candidates who are highly motivated and expect to gain a
first or upper second class degree in statistics, mathematics or a
related quantitative subject, or hold a relevant masters degree should
send a completed application form (available from
http://www.imperial.ac.uk/P1397.htm)
<http://www.imperial.ac.uk/P1397.htm> together with a covering letter
to Dr Nicky Best, Department of Epidemiology and Public Health, Imperial
College Faculty of Medicine, St Mary's Campus, Norfolk Place, London W2
1PG. Electronic applications may be emailed to [log in to unmask]
Please note that you must satisfy certain UK residency requirements to
be eligible for the full MRC grant; EU nationals may be eligible for a
'fees only' award (see http://www.mrc.ac.uk/funding-handbook_04_05.doc
for details)
=20
For an informal discussion, please contact Dr Nicky Best on 020 7594
3320.
=20
=20
Dr Nicky Best=20
Reader in Statistics and Epidemiology=20
Department of Epidemiology and Public Health=20
Imperial College Faculty of Medicine=20
St Mary's Campus=20
Norfolk Place=20
London W2 1PG=20
Tel +44 (0)20 7594 3320=20
Fax +44 (0)20 7402 2150=20
website (dept) http://www1.imperial.ac.uk/med/people/n.best.html
<http://www1.imperial.ac.uk/med/people/n.best.html> =20
website (group) http://www.icbiostatistics.org.uk
<http://www.icbiostatistics.org.uk/> =20
=20
=20
=========================================================================
Date: Thu, 11 Aug 2005 05:49:44 +0100
Reply-To: Ray Thomas <[log in to unmask]>
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<[log in to unmask]>
From: Ray Thomas <[log in to unmask]>
Subject: LAST WORDS FROM LEN COOK
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THE ATTRIBUTES OF AN INDEPENDENT STATISTICAL SERVICE
A meeting at 5 pm on Thursday 25th August at the Royal Statistical Society,
Len Cook is leaving the UK on 30th August after five years in the top job
in statistics. He was appointed from New Zealand to help fulfil the
Labour Party's 1997 election pledge to create an independent statistics
service. During his five years at the top job Len Cook is said to have
ruled, as Registrar General, on the legality of Prince Charles wedding, and,
through classification of British Rail and road maintenance expenditure
statistics, to have been a significant influence on transport and economic
policy. He says that that strong criticism of statisticians is part of the
British way of life, and criticism of statistics is a way of criticising
government.
So what are the attributes of an independent statistical service?
The meeting is open to all. Tea will be available from 4 30 pm. But please
notify on 0207 614 3910 that you are coming.
***********************************************
=========================================================================
Date: Thu, 11 Aug 2005 08:58:34 +0100
Reply-To: "Macfarlane, Alison" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Macfarlane, Alison" <[log in to unmask]>
Subject: FW: ESSAY COMPETITION 2006 - Speak your mind and win a prize!
Comments: To: "[log in to unmask]" <[log in to unmask]>,
"[log in to unmask]" <[log in to unmask]>,
"[log in to unmask]" <[log in to unmask]>
Comments: cc: "[log in to unmask]"
<[log in to unmask]>
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Apologies for cross-postng. Please pass on to other relevant lists and =
reply
to Janet Shapiro, not me.
Speak your mind and win a prize!
=20
Submit an original essay (3,000 words maximum), by 1st May 2006, that
addresses a current social research/policy question, with critical use =
and
interpretation of relevant data sources.
=20
First prize =A3300,=20
Second prize =A3200
in two categories of entry: Student or Open, awarded on the basis of
readability, clear presentation of statistical material, critical
perspective and convincing argument.
=20
Age and experience will taken into account by the judges:
Simon Briscoe, Statistics Editor of the Financial =
Times,=20
Len Cook, National Statistician,=20
Professor Ruth Levitas, University of Bristol,
Professor Denise Lievesley Health and Social Care Information =
Centre,=20
Dr. Susan Starkings London South Bank University.
=20
The essay awarded first prize will be featured on the Radical =
Statistics
website and published in a special issue of 'Radical Statistics', the
newsletter of Radical statistics. Judges' decision will be by 1st July =
2006.
More detailed information can be found on the website =
www.radstats.org.uk.=20
=20
Applications are encouraged well before deadline. Enter, by sending =
your
essay by e mail, labelled : Radstats Critical Essay, including full =
name,
address, age and number of years for which you have been engaged in =
social
research, statistics, or the social sciences to
[log in to unmask]
RADICAL STATISTICS
www.radstats.org.uk
The Radical Statistics Group, usually abbreviated to Radstats, was =
formed in
1975 as part of the radical science movement associated with the
establishment of the British Society for Social Responsibility in =
Science
(BSSRS).=20
=20
The researchers and statisticians who started Radstats shared a common
concern about the political implications of their work and an awareness =
of
the actual and potential misuse of statistics. Sadly, neither the BSSRS =
nor
other organisations affiliated to the BSSRS, survived the 18 years of
Conservative rule from 1979 to 1997.=20
=20
RadStats is now independent of any other organisation. Members are =
'radical'
in being committed to helping build a more free, democratic and =
egalitarian
society. Members of Radstats are concerned at the extent to which =
official
statistics reflect governmental rather than social purposes. Our =
particular
concerns are:
The mystifying use of technical language to disguise social problems as
technical ones=20
The lack of control by the community over the aims of statistical
investigations, the way these are conducted and the use of the =
information
produced=20
The power structures within which statistical and research workers are
employed and which control the work and how it is used=20
The fragmentation of social problems into specialist fields, obscuring
connectedness=20
=20
Radstats members believe that statistics can be used as part of =
campaigns
for progressive social change - just as they were used to support =
measures
that led to improvements in public health in the 19'th century.
=20
Join Radstats
Upon joining or renewing, members receive one year's subscription to =
Radical
Statistics (normally three issues per year), ISSN 0268-6376. Members =
are
invited to the annual conference & AGM. Radstats also hosts an email
discussion list which is open to both members and the public.=20
=20
Membership is =A33 (unwaged), =A35 (low-waged), =A312 (waged and =
overseas), and
=A320 (institutional subscriptions), enquiries to =
[log in to unmask]
=20
Radstats is not a professional or an academic organization. The
administrative work is handled by a Troika elected at the AGM (this =
forms
part of the Annual Conference). Radstats is a membership organisation =
run
by volunteers. As such, members are always welcome to help, and are =
needed
for activities such as: writing articles for the newsletter, guest =
editing a
special issue, helping with conference organising, working on projects =
with
related groups, publicising the work of Radical Statistics. If you are
interested in helping out, please write to [log in to unmask]
=20
Statistics should be used to help change society for the better,
not merely to describe the status quo.
=20
=========================================================================
Date: Thu, 11 Aug 2005 10:06:34 +0100
Reply-To: John Duffy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Duffy <[log in to unmask]>
Subject: Job vacancies at the Scottish Funding Councils for Further and
Higher Education
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The Statistics Officer vacancy I e-mailed about earlier is about to be =
advertised, and we now have another vacancy (this time at a senior level). =
Details below. If anyone wishes to discuss either vacancy with me, feel =
free to send an e-mail/give me a ring (phone +441313136658). No agencies =
please.
=20
*************************************
Senior Statistics Officer
Salary in the range =A327,316 to =A336,956
As Senior Statistics Officer you will review, revise and enhance our data
collection and analysis processes including the associated statistical
modelling and analysis techniques. You will provide both internal and
external stakeholders with statistical advice, practical assistance and =
reports
based on research and analysis, as well as representing the Councils, and
establishing and maintaining effective working relationships with relevant
bodies and consultants.
You must possess initiative and flexibility, high level communication =
skills,
good organisational and project management skills, as well as practical
experience of advanced methods of statistical analysis. A postgraduate
qualification in statistics and proficiency in SAS or other statistical =
packages
is also required. It is desirable that you have knowledge of the further =
and
higher education sectors, experience of academic publication of statistical=
work, an enthusiasm for innovation and an ability to motivate others.
=20
********************
Statistics Officer
Salary in the range =A321,854 to =A329,785
Working with the Senior Statistics Officer and other senior colleagues,
you will work to add value to routinely collected data by statistical =
analysis.
You will also provide statistical advice to the Councils for the purpose =
of
developing policies and strategies, and in response to external enquiries =
as
well as maintaining and developing contacts with key external stakeholders
in higher education and government bodies.
The post requires you to have substantial programming knowledge of at
least one statistical package (ideally SAS), as well as experience of =
applied
statistical modelling, good written and oral communication skills, =
excellent
organisational and planning skills, and either a degree with statistics or
equivalent practical experience. It is desirable that you have experience =
of
staff management, audio-visual presentations to large groups and working
to deadlines.
*********************
=20
For an application pack, call 0131 313 6500, email [log in to unmask]
or download an application form at www.sfc.ac.uk
Closing date is Friday 26 August 2005.
Applications for secondment and jobshare are welcome.
Committed to equality of opportunity.
=20
***********************
=20
John C Duffy
Deputy Director Corporate Policy and Services
Scottish Funding Councils
Donaldson House
97 Haymarket Terrace
Edinburgh EH12 5HD
=20
Telephone 0131 313 6658
Mobile 0780 358 2169
=20
=20
E-Mail Confidentiality Notice
-----------------------------
This e-mail (including any attachments to it) is confidential and
protected by copyright. If you receive this e-mail in error, notify us
immediately by reply e-mail, delete it, and do not make use of, disclose
or copy it. No liability is accepted for viruses and it is your
responsibility to scan any attachments. The opinions expressed within
this e-mail are the opinions of the sender and do not necessarily
constitute those of the Scottish Funding Councils for Further and Higher
Education, the Scottish Higher Education Funding Council or the Scottish
Further Education Funding Council.
Tha am post-dealain seo (a' gabhail a-staigh faidhle sam bith na lùib)
dìomhair agus air a dhìon le còraichean foillseachaidh. Mur robh còir
agaibh am post-dealain seo fhaighinn, cuiribh fios thugainn gun dàil le
freagairt post-dealain, dubhaibh às e, agus na dèanaibh feum,
foillseachadh no lethbhreac dheth. Chan eil sinne cunntachail airson
bhìorasan agus tha e an urra ribhse faidhleachan a sgrùdadh. 'S e na
beachdan taobh a-staigh a' phost-dealain seo beachdan an neach a chuir e
agus dh'fhaodadh nach buin iad do bheachdan Comhairlean Maoineachaidh
Foghlam Adhartach agus Àrd-ìre na h-Alba, Comhairle Maoineachaidh
Foghlam Àrd-ìre na h-Alba no Comhairle Maoineachaidh Foghlam Adhartach
na h-Alba.
=========================================================================
Date: Thu, 11 Aug 2005 10:35:44 +0100
Reply-To: Robert Hills <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Robert Hills <[log in to unmask]>
Subject: Reminder: JOB - Medical Statistician,
University of Birmingham Clinical Trials Unit
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I have been asked to post the following to the list - please direct any =
informal inquiries to Professor Keith Wheatley on [log in to unmask] =
=20
--------------------------------
UNIVERSITY OF BIRMINGHAM
DIVISION OF MEDICAL SCIENCES=20
BIRMINGHAM CLINICAL TRIALS UNIT (BCTU)
Medical Statistician/ Senior Medical Statistician
Applications are invited to join an expanding team to play a central =
role in the Unit's research. This new vacancy provides an exciting =
opportunity for a statistician wishing to develop their methodological =
expertise in clinical trial research within a successful, rapidly =
expanding research Unit. Duties will include designing trials and =
assessing their feasibility, development of data management systems and =
the analysis and reporting of trials. Meta-analyses of existing data, to =
provide reliable evidence on treatment efficacy and to identify key =
research questions, will also be undertaken.
A good class degree in statistics or other numerate discipline is =
essential. Applicants should also have a postgraduate qualification, or =
at least 2 year's experience in applied statistics along with strong =
statistical and computing skills, a sound knowledge of statistical =
packages (preferably SAS), good attention to detail, the ability to work =
both independently and as part of a team, the ability to communicate =
statistical issues to non-statisticians and a desire to develop skills =
in applied medical statistics. Ideally, the Unit would like to appoint a =
statistician with previous experience of 'real-life' clinical trials and =
meta-analysis; however, candidates with less experience but with the =
potential to develop into high-class trial statisticians will also be =
considered.
Further information about BCTU and this vacancy can also be found on the =
BCTU website www.bctu.bham.ac.uk <http://www.bctu.bham.ac.uk/> . =
Informal enquires can be made to Professor Keith Wheatley on +44 121 687 =
2310 or [log in to unmask] <mailto:[log in to unmask]> =20
Starting salary for Medical Statistician =A319,460 - =A329,128 a year. =
Starting salary for Senior Medical Statistician =A327,116 - =A329,128 a =
year.Starting salary depends on qualifications and experience. The post =
is available until 31 March 2007 in the first instance. Interviews will =
be held on Wednesday 31 August 2005.
Applications forms (returnable by 15th August 2005) and details from =
Personnel Services, The University of Birmingham, Edgbaston, Birmingham =
B15 2TT. Tel: 0121 415 9000, web: www.personnel.bham.ac.uk/vacancies/
Please quote Ref: M39384
A University of Fairness and Diversity.
=20
=========================================================================
Date: Thu, 11 Aug 2005 11:54:05 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: QUERY: longitudinal analysis
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Dear Allstatsters,
The following questions refer to some comments made in the book 'Analysis
of Longitudinal Data' by Diggle, Liang, and Zeger (1994) concerning the
modelling of longitudinal data by splitting a covariate to a
cross-sectional and a longitudinal element. Say b_c is the coefficient for
the x-sect element, and b_l is the coefficient for the longitudinal
element.
It says:
We want to distinguish the contributions of cross-sectional and
longitudinal information to the estimated relationship of respiratory
infection and age... Note that the distinction between b_c and b_l defined
for linear models holds only approximately for logistic and other
non-linear models. (p161)
What is the authors referring to when they seem to suggest that this
technique is more accurate for linear model than for non-linear models?
Also I read in the second chapter the following:
The orthogonality between x_i1 and x_ij for each j is achieved if x_ij -
x_i1 = delta_j, independent of i. That is, the least-squares estimator,
beta-hat, will be an unbiased estimate of beta_L if the spacings in x
between two consecutive visits are the same for all subjects. (p 25)
I don't understand it. If x_ij - x_i1 is independent of i, then we have
x_i1 being independent of (x_ij - x_i1), but it doesn't mean x_i1 is
independent of x_ij. In any case, the authors seem to be suggesting that
if our x_ij are things like age taken at regular intervals, then the OLS
estimator, without breaking down age into cross-sectional and longitudinal
components, will give the same estimates as the longitudinal beta if we
break down age into x-sect and longitudinal components. Which, I've shown
on a simple dataset, is not true. Perhaps the confusing bit is the 'for
each j' in the first sentence, which I can't figure out what it's
referring to.
Any help would be appreciated.
Thanks,
Timothy Mak
=========================================================================
Date: Thu, 11 Aug 2005 12:04:50 +0100
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Re: LAST WORDS FROM LEN COOK
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Further to Ray's message please note that you can also register for this
meeting by email to [log in to unmask]
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
Join the Royal Statistical Society today. For more details go to
http://www.rss.org.uk/membership/index.html
-----Original Message-----
From: Allstat On Behalf Of Thomas, Ray
Posted At: 11 August 2005 05:50
Posted To: RSS Allstat Mailbox
Conversation: LAST WORDS FROM LEN COOK
Subject: LAST WORDS FROM LEN COOK
THE ATTRIBUTES OF AN INDEPENDENT STATISTICAL SERVICE
A meeting at 5 pm on Thursday 25th August at the Royal Statistical
Society,
Len Cook is leaving the UK on 30th August after five years in the top
job in statistics. He was appointed from New Zealand to help fulfil the
Labour Party's 1997 election pledge to create an independent statistics
service. During his five years at the top job Len Cook is said to have
ruled, as Registrar General, on the legality of Prince Charles wedding,
and, through classification of British Rail and road maintenance
expenditure statistics, to have been a significant influence on
transport and economic policy. He says that that strong criticism of
statisticians is part of the British way of life, and criticism of
statistics is a way of criticising government.
So what are the attributes of an independent statistical service?
The meeting is open to all. Tea will be available from 4 30 pm. But
please notify on 0207 614 3910 that you are coming.
***********************************************
______________________________________________________________________
This email has been scanned by the MessageLabs Email Security System.
For more information please visit http://www.messagelabs.com/email
______________________________________________________________________
=========================================================================
Date: Thu, 11 Aug 2005 12:14:26 +0100
Reply-To: Chris Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brown <[log in to unmask]>
Subject: New Job: SAS Programmer in Marketing (suit Graduate)
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Content-Type: text/plain; charset=ISO-8859-1
Location / Area: UK South-East - Farnborough, Hampshire
Summary of Role: This is a rare and valuable opportunity for a SAS=AE=20
Programmer / Analyst to join a well-established, large scale British=20
organisation with excellent career development opportunites. To be based=20
in Farnborough, Hampshire in the first instance, starting as soon as=20
possible.
Information on Client: Respected and recognised as a household name, our=20
Client is highly regarded as a British institution. Established in 1905,=20
they are the largest and most trusted motoring organisation in the UK,=20
with some 3,300 highly trained road patrols and 15 million customers=20
nationwide. They have more than 100 motoring products and services, from=20
helping you to get from A to B, to organising your motoring finances to=20
buying a new or second-hand car. Career opportunities are normally=20
available only internally. =20
Benefits: As an 'Investors in People' Award-winner, our Client takes its=20
career development programme very seriously. Induction programme on=20
joining covering customer service skills plus product and systems=20
knowledge. Regular on-the-job coaching and training. Wide range of=20
learning resources provided. Sponsorship for higher qualifications=20
possible, either academic or vocational. =20
Job Role: Reporting to the Senior Insight Analyst, you will be primarily=20
responsible for:
=B7 Customer analysis supporting business decision-making and tactical=20
delivery
=B7 Analytical input supporting the development of customer and=20
marketing strategies and product development
=B7 Supporting ad hoc analyses to meet specific business needs
=B7 Data analysis to deliver actionable customer intelligence=20
efficiently
=B7 Working with business units to provide detailed understanding of=20
customer base
=B7 Quantifying market research analysis
=B7 Utilising statistical models to aid understanding of customer=20
risk, value and behaviour
=B7 Ensuring effective use of model scores and flags in marketing=20
campaigns
=B7 Identifying data quality issues and data structure improvements
=B7 Project management of detailed analysis programmes
=B7 Working with key agencies, affinity partners and other parties to=20
support customer analysis programmes
Minimum Requirements:=20
=B7 +1-2 years' SAS programming experience with a relevant=20
undergraduate degree
=B7 Proven utilisation of data mining and statistical techniques=20
including SAS/Base and SAS/Stats
=B7 Proven track record in delivery of actionable customer intelligence
=B7 Excellent numeracy skills
=B7 Highly literate in MS Office and data mining software
=B7 Good data interpretation skills
=B7 Good communication and influencing skills
=B7 Good planning skills
=B7 Ability to work under pressure to tight deadlines
Flexibility to relocate essential=20
Unique Benefits: This is a prime opportunity for a numerate Analyst /=20
Programmer to join a young, dynamic team at one of the UK's most respected=20
national organisations in a rarely publicised vacancy, with attractive=20
prospects for continuing professional development in IT. =20
Keywords: SAS Programmer / SAS / Statistical Analyst Programmer /=20
Statistical Analyst / Statistical Programmer / Statistics / Mathematics /=20
Statistical Software / Data Mining / Data Interpretation / Data analysis /=20
Data Quality / Data Structure
If you think you fit the bill, email your CV to:chris@fforde-
management.com, speak to: Chirs on (0044) (0)1273 722366 or write to us at=20
Curtis House, 34 Third Avenue, Hove BN3 2PD Fax: (0)44 (0)1273 325350. If=20
you prefer a different kind of role, call for a confidential chat about=20
your personal career needs. =20
Fforde prides itself on a glowing reputation within the recruitment=20
industry, a close-knit team and a high quality personalised service=20
dedicated to intelligent delivery. Explore this website for a peek at all=20
our enticing job opportunities. =20
www.fforde-management.com
=========================================================================
Date: Thu, 11 Aug 2005 14:15:44 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: Statistical Services Centre short courses Oct. 2005
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We are announcing three courses, which are scheduled to take place in
October 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or
email [log in to unmask]
Fitting General Linear Models
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 10-11 October 2005. Duration: 2 days. Price: 540 GBP. (Fee of =
=A31250 for attending this course and Analysis of Mixed Models (10-14 =
October 2005)).
General Linear Models (GLMs) form a unified underlying theory that =
covers simple and multiple linear regression techniques and general =
analysis of variance procedures for balanced and unbalanced data. An =
essential feature is the use of a normally distributed residual or error =
term.=20
This course will briefly present the theory of general linear models =
and discuss their application and interpretation in problems of =
agriculture, biological and medical sciences and in pharmaceutical work. =
Many examples will be used to illustrate a wide range of GLMs. =
Practical sessions, based on SAS or GenStat, will help participants =
understand the ideas involved.
=20
Analysis of Mixed Models
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Dates: 12-14 October 2005. Duration: 3 days. Price: 810 GBP. (Fee of =
1250 GBP
for attending this course together with Fitting General Linear Models =
(10-14 October 2005)).
Mixed Models have both fixed and random effects. Such models arise when =
treatments are a random selection from a wider group and when data are =
collected from the multi-strata structure with different levels of =
variability.
Practical situations where such experimental data arise are many. For =
example, in a clinical trial to evaluate the effectiveness of two drugs, =
the drugs may be administered to patients from a random selection of =
hospitals with a view to generalising the conclusions to patients from =
all hospitals. In environmental studies, random locations within =
randomly selected sites may be measured for soil and environmental =
characteristics. Models for such situations will be fitted using the =
SAS MIXED procedure. Interpretation of MIXED output will be covered in =
lectures and computer practical sessions.
Introduction to Survival Analysis
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 17-19 October 2005. Duration: 3 days. Price: 840 GBP (includes =
textbook).
Survival data arise in a literal form from trials concerning =
life-threatening conditions, but the methodology can also be applied to =
other waiting times such as the duration of pain relief. This course =
discusses both the design and analysis of clinical trials in which =
response variable is a survival time.
During lectures the statistical package SAS will be used to illustrate =
the methodologies, and in practical sessions participants will analyse =
and report on the results of a simulated clinical trial. Considerable =
emphasis is placed on practical work and the interpretation of models, =
but some underlying theory will also be explained as appropriate.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Thu, 11 Aug 2005 14:37:18 +0100
Reply-To: Amanda Lee <[log in to unmask]>
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<[log in to unmask]>
From: Amanda Lee <[log in to unmask]>
Subject: Job: Research Fellow, University of Aberdeen
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Reference number: YPU035R
Job Title: Research Fellow in Medical Statistics
Subject/Discipline: School of Medicine
Length of Post: Three Years
Closing Date: 13-Sept-05
Salary range: =A319,460 - =A329,128 per annum
A statistician is required for the medical statistics group located within=
=20
the Institute of Applied Health Sciences, which was 5-rated in=20
community-based clinical subjects in the last RAE. For line management=20
purposes, the post is within the School of Medicine, Clinical Department of=
=20
Public Health. The post will include consultancy to staff in the Institute=
=20
and Grampian NHS. You will be expected to develop your own area of=20
research consistent with the Institute's research strategy.
You should have a sound background in statistics, for appointment at=20
Research Fellow level a PhD or equivalent in statistics or a related=20
subject with a high statistical content is essential. You should also have=
=20
a track record in research, including co-authored publications in peer=20
reviewed journals. Experience of applied medical statistics and skills in=
=20
team working and communications are essential. A three-year appointment is=
=20
available.
To discuss the post informally or to arrange a visit, please contact Dr=20
Amanda Lee (tel 01224 554535,=20
email <mailto:[log in to unmask]>[log in to unmask] or Gordon Prescott=20
(tel 01224 553809, email=20
<mailto:[log in to unmask]>[log in to unmask])
Online application forms and further particulars are available from=20
www.abdn.ac.uk/jobs. Alternatively email [log in to unmask] or telephone=20
(01224) 272727 (24-hour answering service) quoting reference number YPU035R=
=20
for an application pack.
The closing date for the receipt of applications is Tuesday 13th September=
=20
2005.
----------------------------------------------------------------------------=
----------
Dr Amanda Lee
Reader
Department of General Practice and Primary Care
Foresterhill Health Centre
Westburn Road
Aberdeen AB25 2AY
Tel: 01224 554535
Fax: 01224 550683
E-mail: [log in to unmask]
=========================================================================
Date: Thu, 11 Aug 2005 15:24:50 +0100
Reply-To: Alan Brophy <[log in to unmask]>
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<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Biostatistician / Senior Biostatistician
MIME-Version: 1.0
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Dear Allstat,
Biostatistician / Senior Biostatistician - Belgium
SEC are recruiting a Biostatistician with 2+ years experience to join a 'Top
10' global pharmaceutical company based in Belgium. Full details of the
client company and location will be provided on application.
Working within busy, dynamic interdisciplinary teams you will be responsible
for providing statistical expertise in the design, planning, conduct,
analysis and reporting of major clinical studies and global development
programs within CNS, Ant-infectives and GI therapeutic areas. Additionally
you will help register drugs at the FDA, EMEA and other regulatory agencies
worldwide and developing statistical programs as necessary to perform
analyses, prepare data displays, verify data accuracy and validity.
This position is open to any professional with the minimum academic and
experience requirements, the level of the position will be shaped around the
experience level of the successful candidate. To be successful in securing
this position you will require 2+ years experience as a Biostatistician
within a CRO or Pharmaceutical company and a minimum MSc in Medical
Statistics, Statistics or a related discipline. SAS programming skills are
important, strong team working and communication skills are, of course,
essential. Fluency in the English language is also essential, French
language skills are an advantage. With regards to technical experience late
phase is a distinct advantage, as is experience working within the above
therapeutic areas.
This industry leading company offer unparalled opportunities for personal
development and career growth including opportunities for sponsored PhD
study and secondments to work in the USA. The company offer excellent
starting salaries, full relocation assistance and regular pay reviews. If
you meet the above criteria and are interested to learn more about this
appointment forward a detailed CV with a short cover note detailing salary
expectations to [log in to unmask] or call Alan on 0207 258 8400
for full details.
SEC are a specialist recruitment company within the Pharmaceutical, Biotech
and CRO industries, if you are interested to learn more about further
appointments within Biostatistics or Statistical Programming across the UK
and Mainland Europe contact Alan on 020 7 255 6600 for a confidential
discussion.
Alan Brophy
Senior Consultant - Pharmaceutical Division
SEC Recruitment, London
Tel: 00 44 (0)207 255 6600
=========================================================================
Date: Thu, 11 Aug 2005 15:57:26 +0100
Reply-To: Mike Denham <[log in to unmask]>
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<[log in to unmask]>
From: Mike Denham <[log in to unmask]>
Subject: Conference Opportunity: PhD student attendance at GlaxoSmithKline
internal conference
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Please could you bring the following to the attention of any statistics=20
PhD students in the latter half of their PhD studies.=20
Please note that there is a relatively tight deadline of 25th August 2005=20
for applications=20
Mike Denham=20
Head of Statistical Education=20
Statistical Sciences Europe=20
GlaxoSmithKline=20
Conference Opportunity
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
The Biomedical Data Sciences (BDS) Division within GlaxoSmithKline(GSK) is=20
inviting a limited number of statistics PhD students to attend an internal=20
one day BDS UK Conference for Statisticians and Programmers to be held on=20
14 October 2005 at the GSK site in Ware, Herts. The conference will=20
consist of main presentations, parallel and breakout discussion sessions=20
with a poster display throughout the day to highlight recent work and=20
issues relating to pharmaceutical statistics and programming.
What is on offer
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
An opportunity to learn more about statistical opportunities at GSK:
* Invitation to visit the GSK site in Harlow to see the Biostatistics &=20
Programming division working environment and to meet PhD graduates working=20
at GSK in a variety of statistical roles, on the afternoon before the day=20
of the conference
* Attendance at the one day conference with the opportunity to contribute=20
a poster of your own PhD work, or of work relevant to a statistical,=20
pharmaceutical audience
* Reimbursement of UK travel expenses and overnight accommodation
* Invitation to the evening social event after the conference to be held=20
in Ware
Who Should Apply
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Students should be in the latter half of their PhD, or have completed=20
their PhD in the last 12 months, and be interested in learning about=20
statistical opportunities within a large pharmaceutical company. =20
Priority will be given to students who wish to contribute a poster to the=20
conference.=20
Application Process
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Please respond as soon as possible (no later than Friday 26th August 2005)=20
by email to Mike Denham ([log in to unmask]). =20
Please include the following details:
* Your thesis title with a half-page synopsis of your PhD
* The (estimated) completion date of your PhD
* A half-page abstract of your proposed poster for display at the=20
conference
* Your reason(s) for wishing to attend the conference
* Your University and Supervisor=92s name
=========================================================================
Date: Thu, 11 Aug 2005 17:39:10 +0000
Reply-To: [log in to unmask]
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From: Nigel Marriott <[log in to unmask]>
Subject: SUMMARY : Type 1, 2, 3.... SS in ANOVA
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To Allstatters
Here is a summary of the responses I received. In general, I took on board the following points.
1. This discussion only arises because my design ended up being unbalanced. Had it been balanced, all effects would be orthogonal to each other and standard ANOVA analysis and interpretation would have been possible.
2. Type II is the most appropriate SS for my problem and possibly for most problems.
3. Type I SS is only appropriate if there is a natural order to the effects being fitted. I decided there wasn't such an order in my case, though some argued otherwise. See the bottom of this note for a description of the effects.
4. Type III is inappropriate for most types of problems. They do not appear to handle models involving interactions very well (as can be seen in my case in the table at the bottom of this note).
5. However, if there are no interactions in the model then Type II and Type III give the same results.
6. The comments from John Nelder and Peter Lane who cowrote a paper on this subject are reproduced in this note. In essence they say Type III is discredited and should not used for linear models
7. Type IV SS is apparently recommended by SPSS (though I have not tried this). However, Nelder & Lane criticisms of Type III also apply to Type IV.
The comments of Nelder & Lane were
Nelder - "Two points:
(1) I hope you are using generalised models for the analysis and not transforming the data.
(2) I have shown that type-III SS have no part to play in making inferences from GLMs (which includes normal models) See my paper in Statistics and Computing called Back to Basics ...
I would ask you to look in detail at my paper in Computing and Statistics , which shows the irrelevance of Type III and IV sums of squares to the making of inferences from linear models (and GLMs generally). It is unfortunate that SAS has propagated these false methods, which are widely used. What you need is to fit sequential models (The so-called type II SS) in different orders and go on from there. (A better solution is to use a decent package like Genstat which does these things properly)."
Peter Lane - "It's good to see another example of Type III SS producing silly results. I regret I don't have time to try to understand and explain the difference between Type I and III for your dataset specifically, as I have far too much work waiting, but I felt moved to reply to encourage you to use neither Type I or Type III SS. I think Type II is what you want, even though some software does not always allow you to get it very easily. The Type II SS for Age is the SS associated with Age, after eliminating the SS associated with Product, and ignoring the SS associated with the interaction. This is different from the Type I SS for Age if you happen to fit the factors in the order Age, Product rather than Product, Age. If you have fitted in the order Product, Age, then Type I = Type II, and you are done. The Type II is different from the Type III because the Type III SS also eliminates the effect of the interaction -- which in my view, and that of many others, is a totally !
ridiculous thing to do; see Nelder & Lane, 1995, "The computer analysis of factorial experiments: in memoriam Frank Yates", American Statistician 49, 382-385. If you fit the model with no interaction term, then you also have Type III = Type II, so you can get it that way as well."
For reasons of space, I have only given excerpts of other comments from some respondents as they mainly repeated each other. If I have not included your comments, then can I please say thank you for them as I did find every comment helpful. Please let me know if you think I have missed a pertinent point in my summary above.
Allan White - "If you have an unbalanced experimental design, various of the effects are not orthogonal, i.e. they can be thought of as overlapping. In these circumstances, for at least some of the effects, there is more than one way of attributing the sum of squares for an effect, depending on whether the SS is adjusted for any other effects or not. The Type I SS does not adjust for any other effect. By contrast, the Type III SS adjusts for the presence of every other term in the model."
Ross Darnell - "The F-value (from a Type III ANOVA) for Age depends on what other terms are in the model. A type III SS is sometimes described as a "adjusting for all other terms" effect which in the case of a main effect in the presence of an interaction is impossible to interpret"
If I have not included your comments, then can I please say thank you for them as I did find every comment helpful. Please let me know if you think I have missed a pertinent point in my summary above.
An overview of the problem and results obtained is appended at the bottom of this note.
Regards
Nigel Marriott
Senior Statistician - R&D
Masterfoods Europe
----------------------------------------------------------
The data is supposed to be liking scores (on a 1 to 7 scale) for 9 variants of a confectionery from 200 consumers per product. Unfortunately no data was collected for 1 product as below due to a misunderstanding i.e. the N/A cell is empty making this an incomplete design.
@8wks @16wks @24wks
Std 5.38 5.39 5.20
AltI 5.40 5.43 5.15
AltP 5.50 5.35 N/A
The Mean Square Error is 1.5 on 1649 df.
The 2 factors shown are Product Type (Std, AltP, AltI) and product Age (8, 16, 24 weeks). Ideally there should have been a fourth product type in the design but this was overlooked by the original project team.
There is in fact a third factor which is type of consumer (using a very simple clustering method as follows)
0 : They have not bought the product and it is not a favourite.
1 : They have bought the product but it is not a favourite.
2 : They have bought the product and it is a favourite.
Originally I analysed the data using XLSTAT (an excel add-in) which was only capable of Type 1 & 3 SS. Following feedback from some of you, I reanalysed using STATISTICA which is also capable of Type 2 SS. The F statistics for each type of SS and type of model are given below.
Type 3 SS Type 2 SS
Effect df F3 F2 F1 F3 F2 F1
Product 2 0.97 1.11 0.12 0.11 0.11 0.12
Age 2 0.77 0.93 4.16 4.12 4.13 4.16
Consumr 2 19.82 19.25 22.35 22.15 22.22 22.35
PxA 3 0.24 0.57 0.57 0.57
PxC 4 1.09 1.19 1.19 1.19
AxC 4 0.56 0.53 0.53 0.53
PxAxC 6 0.16 0.16
MS Error is 1.5 on 1649df
Where
F3 - Interactions up to degree 3 i.e. full model
F2 - Interactions up to degree 2
F1 - No interactions i.e. main effects model.
These values show that with no significant interactions are present the main effects model is the correct one for drawing conclusions. In this case both Type 2 and 3 SS will give the same results. But I had based my original query on the Type 3 SS full model whilst ignoring the interactions and the Consumer term. I had not appreciated the fact that the significance of the Age factor would change so dramatically once the interaction terms were removed. However in the Type 2 (and Type 1 models) removal of the interaction terms does not change the significance of the main effects much.
I am left with the impression that Type 2 SS is the most appropriate choice. Type 1's are dependent on the order in which the 3 factors are presented and in this study there is no natural order to the factors. Type 3's are not order dependent but there is a big risk on being misled as to the significance of the main effects when interactions are included in the models as has happened
here. Type 2's seem to get around both of these issues.
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Date: Fri, 12 Aug 2005 11:20:33 +0100
Reply-To: [log in to unmask]
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From: Fakis Apostolos <[log in to unmask]>
Subject: New statistic-football web sait
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Good morning,
There is a new web sait about FOOTBALL AND STATISTICS!!!!!!! (www.soccerbase.gr)
There are many informations about all the CLUB and NATIONAL team competitions.Also there are HISTORICAL infos about past games and footballers!!!!
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=========================================================================
Date: Fri, 12 Aug 2005 09:57:11 -0400
Reply-To: Mark Coleman <[log in to unmask]>
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From: Mark Coleman <[log in to unmask]>
Subject: Comparing two Markov matrices
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Greetings,
I'm working on a problem in quantitative finance and I was hoping I
might get some ideas about how to conduct a certain statistical test
comparing two Markov matrices. In particular, can anyone point me to
a statistical test of equality for two n x n Markov matrices?
Thanks,
-Mark
=========================================================================
Date: Sat, 13 Aug 2005 01:10:19 -0700
Reply-To: Omar Farook <[log in to unmask]>
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<[log in to unmask]>
From: Omar Farook <[log in to unmask]>
Subject: fixed-filed codes
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Dear Listers,
Kindly, what is the meaning of fixed-filed codes?
If there are some examples, I will be very appreciate
Thanks in advance.
Omar
[log in to unmask]
---------------------------------
Start your day with Yahoo! - make it your home page
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Date: Sat, 13 Aug 2005 21:25:13 +0100
Reply-To: John Bibby <[log in to unmask]>
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<[log in to unmask]>
From: John Bibby <[log in to unmask]>
Subject: Re: Comparing two Markov matrices
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In-Reply-To: <[log in to unmask]>
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Maximum likelihood invariably works! (if you believe it)
I seem to recall that with 2 or sevreal Markow matrices it ends up with
something that is asymptotically like the Wishart & Bartlett tests for
comparing covariance matrices. It should be fairly straight forward.
However, I would not believe it too much.
When comparing two or several social mobility matrices, which some people
viewed as Markovian, it was often useful to compare corresponding cells and
look at the pattern of signs - this often suggested useful patterns for
structuring the differences. THis might work in your case. (THe SRUCTURE of
differences is usually more informative and useful than the simpler question
of whether differences exist)
JOHN BIBBY
> -----Original Message-----
> From: A UK-based worldwide e-mail broadcast system mailing list
> [mailto:[log in to unmask]]On Behalf Of Mark Coleman
> Sent: 12 August 2005 14:57
> To: [log in to unmask]
> Subject: Comparing two Markov matrices
>
>
> Greetings,
>
> I'm working on a problem in quantitative finance and I was hoping I
> might get some ideas about how to conduct a certain statistical test
> comparing two Markov matrices. In particular, can anyone point me to
> a statistical test of equality for two n x n Markov matrices?
>
> Thanks,
>
> -Mark
>
> --
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Date: Sun, 14 Aug 2005 13:06:40 +0100
Reply-To: Luisa Bernardinelli <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Luisa Bernardinelli <[log in to unmask]>
Subject: Job:post doc position in Genetic Epidemiology and Statistical
Genetics, Cambridge (UK)
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*POSTDOCTORAL POSITION
*
The University of Pavia, Italy, offers a 2-year Postdoctoral position in
Genetic Epidemioloy and Statistical Genetics to commence in October
2005. The successful applicant will be based in the Medical Research
Council Biostatistics Unit in Cambridge, UK, one of the leading European
centres for both applied
and theoretical statistics.
The University of Pavia has been collaborating with the MRC
Biostatistics Unit for several years on a number of themes, including
the development
of Markov Chain Monte Carlo methods of simulation for the analysis of
complex stochastic systems, and the discovery of susceptibility genes in
Multiple Sclerosis.
The post holder will work under the supervision of Prof. Luisa
Bernardinelli and Prof. Carlo Berzuini, long-term visiting scientists at
the MRC Biostatistics Unit.
The post holder's task will involve: /a/) development, implementation
and application of methods for the analysis of genetic linkage and
association studies to data collected
in an isolated population of individuals affected by Multiple Sclerosis,
and /b/) tutoring activity on statistical genetics and analysis of
multivariate dependencies, as part of our commitment to the MOLPAGE
European project. The candidate should have a PhD in a relevant field
(statistics, mathematics, bioinformatics) or equivalent experience.
Preference will be accorded to candidates with experience in computer
programming languages (such as R, SAS, Perl, and C), and in statistics
and genetics.
The starting salary will be in the range 36.000-42.000
Euros, according to experience, plus a pension contribution. Any UK
Income Tax and National Insurance contributions will
be handled via the Inland Revenue Direct Payment Scheme.
Letters of application or requests for further information should be
e-mailed to:
Prof LUISA BERNARDINELLI ([log in to unmask]
<mailto:[log in to unmask]>),
or
Prof. CARLO BERZUINI ([log in to unmask]
<mailto:[log in to unmask]>)
+44 1223 330300
The closing date for applications is 25th August 2005. It is expected
that interviews will take place during the weeks commencing 5th & 12th
September 2005
=========================================================================
Date: Mon, 15 Aug 2005 09:21:16 +0100
Reply-To: [log in to unmask]
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From: Stephen Bennett <[log in to unmask]>
Subject: Stats help
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Dear All
A friend of mine is writing up his MSc thesis on prevalence and risk rati=
o
related to low back pain.
He would like some assistance on checking over the results to make sure t=
hey
are correct in relation to his data, along with interpretation of the dat=
a.
Most of the work is already done, and it should be bread-and-butter stuff=
for an epidemiologist - but unfortunately neither of us have the necessar=
y
skills.
He is, of course, willing to pay for somebody's time to help him.
If anybody can help, please could they contact him (Jason Chillingworth)
on [log in to unmask]
Many thanks in advance.
Kind regards
Stephen
___________________________________________________________
Book yourself something to look forward to in 2005.
Cheap flights - http://www.tiscali.co.uk/travel/flights/
Bargain holidays - http://www.tiscali.co.uk/travel/holidays/
=========================================================================
Date: Mon, 15 Aug 2005 02:39:49 -0700
Reply-To: Despo Phila <[log in to unmask]>
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<[log in to unmask]>
From: Despo Phila <[log in to unmask]>
Subject: relative risk & odds ratio
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Dear all,
Could both statistics be used in cross sectional studies or one is preferable to other?
__________________________________________________
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Date: Mon, 15 Aug 2005 11:12:09 +0100
Reply-To: Julian Stander <[log in to unmask]>
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<[log in to unmask]>
From: Julian Stander <[log in to unmask]>
Subject: JOB: Lecturer, University of Plymouth
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I would like to draw your attention to the following lecturer/senior=20
lecturer post in statistics at the School of Mathematics and Statistics,=20
University of Plymouth.
With many thanks and best wishes for a good summer,
Julian Stander
School of Mathematics and Statistics
University of Plymouth
[log in to unmask]
--------------------------------------------------------
UNIVERSITY OF PLYMOUTH
FACULTY OF TECHNOLOGY
SCHOOL OF MATHEMATICS & STATISTICS
Ref: 6317/TECH
LECTURER/SENIOR LECTURER IN STATISTICS Plymouth
Salary =A323643 to =A336428 pa =96 Lecturer/Senior Lecturer Scale
The School of Mathematics and Statistics, University of Plymouth, invites=20
applications for a full-time lecturer/senior lecturer in the area of=20
applied statistics, biostatistics or epidemiology. The successful=20
applicant will contribute to our work in some of the following areas:=20
teaching statistics and research methodology at postgraduate and=20
undergraduate levels across the Faculty and University; conducting=20
research in applied statistics, biostatistics, epidemiology, healthcare=20
applications or related subjects; obtaining external research funding and=20
helping other scientists to do the same; collaborating with healthcare=20
researchers and others in designing studies.
We are looking for a person with demonstrated or potential excellence in=20
research in applied statistics especially someone motivated by=20
applications in epidemiology, healthcare and related subjects. However,=20
strong candidates in any area of statistics are encouraged to apply. =20
Recruitment and selection will be based on individual merit, however, we=20
should particularly like to encourage applications from women and black=20
and minority ethnic people who are under-represented in the Faculty of=20
Technology.
Further particulars and an application form are available from Personnel=20
and Development, University of Plymouth, Plymouth, Devon PL4 8AA, UK=20
(www.plymouth.ac.uk/vacancies, e-mail: [log in to unmask], Tel: +44 (0)=20
1752 232168). Informal enquiries may be made to Dr Dave Wright on +44 (0)=20
1752 232775 or e-mail [log in to unmask] . Interviews will be=20
held on Wednesday, 21 September 2005.
CLOSING DATE: 12 NOON, FRIDAY 26 AUGUST 2005
=========================================================================
Date: Mon, 15 Aug 2005 14:13:05 +0100
Reply-To: Stephen Senn <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Subject: Hierarchical Bayesian approaches to Clinical Trials
Mime-Version: 1.0
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I would be very grateful if anybody can come up with papers that have dealt
with the following situation
1. A non-hierarchical clinical trial (no repeated measures, no subgroups,
no covariates, single centre) is analysed*
2. A Bayesian method is used
3. A hierarchical prior distribution is employed
This may seem like a strange request but the thinking behind it is as
follows. If such an approach is indicated for Bayesian random effects
meta-analysis, then for coherence it is indicated for the simplest such
case, which is a meta-analysis of one trial. This, of course, implies that
there is a component of variation corresponding to trial by treatment
interaction that cannot be learned about but there is nothing illogical in
saying that it must therefore be provided by the prior distribution.
I have become interested in this problem recently but have been informed
that this issue is a commonplace with Bayesians. However, I am not finding
it easy to come across actual examples of analyses. For instance, the
famous paper by Spiegelhalter, Freedman and Parmar, JRSSA 1994, 157 (3)
357-416 appears to use non-hierarchical priors (S,F and P have a brief
comment on p366 regarding a hierarchical model but this really covers the
case where a number of previous trials have been run) and there has been
much since along the same non-hierarchical lines.
The use of such a hierarchical prior would implie, of course, that there
was a limit on the posterior precision, however large the trial, as long as
only a single trial was run.
Examples welcome
Stephen Senn
* Or if these aspects of the trial are present and dealt with via a
hierarchical model, there is yet higher level that treats this trial as one
of a number that might have been run
Stephen Senn
Professor of Statistics
Department of Statistics
15 University Gardens
<http://www.gla.ac.uk>University of Glasgow
G12 8QQ
Tel: +44 (0)141 330 5141
Fax: +44(0)141 330 4814
email [log in to unmask]
Private webpage: http://www.senns.demon.co.uk/home.html
=========================================================================
Date: Mon, 15 Aug 2005 12:40:30 -0400
Reply-To: "Meucci, Attilio" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Meucci, Attilio" <[log in to unmask]>
Subject: QUERY: convergence to normal of sum of t - distributed i.i.d.
variables
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: quoted-printable
My name is Attilio Meucci, I am a statistician working at Lehman, NY.
I would need to see if the sum of T (say 30) i.i.d. random variables
that are t-distributed with v (say 5) degrees of freedom is
approximately normal.=20
I would need some stronger result than the CLT and the Berry-Essen
theorem, some quantitative (not qualitative) result that applies
specifically to the sum of t-distributed random variables.
Would you know how to tackle the problem without simulations or maybe
some related literature=3F
Many thanks,
Attilio Meucci
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=========================================================================
Date: Mon, 15 Aug 2005 18:54:25 +0100
Reply-To: Doug Altman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: JOB: Research Associate, Oxford
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Content-Transfer-Encoding: quoted-printable
Please bring this job vacancy to the attention of any colleagues who might=
=20
be interested.
Research Associate
Applications are invited for a research associate to work on a project
characterising dimensions of bias in non-randomized studies to assess
their suitability for evaluating the effects of healthcare interventions.=
The
main activities will be the identification, appraisal and analysis of
primary studies evaluating healthcare interventions.
The project is funded by the NHS Methodology Research Programme and
builds on a previous UK HTA review of non-randomised studies undertaken
by the Centre. The project will be undertaken in co-ordination with a linked
project at the University of Bristol assessing dimensions in bias in
randomized trials, and involves collaboration with international experts in
the field.
The post holder will be based at the Centre for Statistics in Medicine at
Wolfson College in North Oxford, and will be expected to travel
occasionally to Bristol for project meetings. Ideal applicants will have a
quantitative or health science postgraduate degree, practical experience
of completing research projects, experience of critical appraisal and
database management, familiarity with trial design and systematic reviews,
and excellent communication and organisational skills.
The appointment will be for 18 months. The salary will be between =A319,460
and =A324,820 with a discretionary range up to =A330,363 depending on
qualifications and experience.
Informal enquiries can be addressed to Jon Deeks ([log in to unmask])
or Doug Altman ([log in to unmask]).
Application procedure
Further details are available on our website
(http://www.csm-oxford.org.uk/?o=3D1060) or contact the Personnel
Administrator, Room 5802, Nuffield Dept of Clinical Medicine, John
Radcliffe Hospital, Oxford, OX3 9DU e-mail to
[log in to unmask] Please quote the reference HB-05-051-JD.
The closing date for applications is Friday 9th September. Interviews will
be held on Wednesday 21st September.
_____________________________________________________
** PLEASE NOTE MY NEW ADDRESS **
(email address is unchanged)
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
=========================================================================
Date: Mon, 15 Aug 2005 17:35:41 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rossi Hassad <[log in to unmask]>
Subject: Faculty Attitudes Toward Statistics
Comments: To: [log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Dear Colleagues:
I want to sincerely thank all of you who participated in the pilot phase of this survey, aimed at developing an instrument to measure instructors? attitudes toward the teaching of introductory statistics in the health and behavioral sciences.
The feedback was extremely helpful, and the instrument has been refined, and is now available at: www.courtpoint.com/survey. If you participated in the pilot phase then you are not eligible to participate at this time, however, I will greatly appreciate if you encourage your colleagues to do so.
In addition to contributing to the development of the teaching of introductory statistics, your participation (at this stage) will give you a chance to win one of three $100 (one hundred dollar) cash awards which may be used toward professional development.
As usual, I am counting on your support.
Sincerely,
Rossi A. Hassad, MPH, PhD
Assistant Professor, Division of Behavioral Sciences,
Mercy College, New York
=========================================================================
Date: Tue, 16 Aug 2005 14:13:52 +0100
Reply-To: Gregor Finlayson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gregor Finlayson <[log in to unmask]>
Subject: Query: Simulating from a self exciting process
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I am looking for details of how to simulate observations from a self =
exciting process. I plan to implement this in MatLab as part of my =
postgraduate research. Also, code written in the MatLab environment =
that does these simulations would be helpful.
Kind Regards
Gregor Finlayson=20
=========================================================================
Date: Tue, 16 Aug 2005 15:25:21 +0100
Reply-To: Jianxin Pan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jianxin Pan <[log in to unmask]>
Subject: Jobs: Chair and Lecturer/Senior Lecturer in Statistics at
Manchester
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Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I am asked to forward the message below to Allstat. If interested, =
please=20
contact Professor Paul Glendinning or Professor Goran Peskir, not me.=20
Jianxin Pan
-------------------------------------------------------------------------=
------------------------
The University of Manchester
Faculty of Engineering & Physical Sciences
School of Mathematics
Chair in Statistics (Reference: EPS/200/05)
Lecturer/Senior Lecturer (Reference EPS/201/05)
Applications are invited for a Chair and a Lecturer/Senior Lecturer
in Statistics in the School of Mathematics to start in September
2006 or an agreed date thereafter. This initiative is part of an
ongoing programme to strengthen Statistics in the University.
Applications can be from researchers in any area of Statistics. We
would encourage applications which strengthen existing research and
create new links within the School or between the School and other
institutions or disciplines.
Salary for the Chair will be in the professorial range (minimum
=A343,513 per annum).
Closing date for the Chair is 1 November 2005.
Starting salary for the Lecturer/Senior Lecturer will be in the
range =A323,643 - =A342,573 per annum.
Closing date for the Lecturer/Senior Lecturer is 15 November 2005.
Informal enquiries may be made to the Head of the School of
Mathematics, Professor Paul Glendinning (tel: +44 (0)161-275-5893,
e-mail: [log in to unmask]) or the Head of the
Probability and Statistics Group, Professor Goran Peskir (tel: +44
(0)161-306-3215, e-mail: [log in to unmask]).
Application forms and further particulars are available at
http://www.manchester.ac.uk/vacancies, tel: +44 (0)161 275 8837,
email [log in to unmask] or write to the HR Office, Sackville
Street Building, The University of Manchester, PO Box 88,
Manchester, M60 1QD.
Please quote the relevant references.
The University will actively foster a culture of inclusion and
diversity and will seek to achieve true equality of opportunity for
all members of its community.
-------------------------------------------------------------------------=
-----------------------------
=========================================================================
Date: Wed, 17 Aug 2005 01:54:42 -0700
Reply-To: Despo Phila <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Despo Phila <[log in to unmask]>
Subject: Discriminant analysis
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Hi, Is there anyway that one can do aparametric or quatratic DA with SPSS? or do you know of any spss syntax programs that do this kind os analysis? Thanks in adavance Chrys
__________________________________________________
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=========================================================================
Date: Wed, 17 Aug 2005 14:24:45 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Doctors' understanding of statistical concepts and the
communication of risk to patients
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear all
I would be most interested to make contact with statisticians who have experience in projects in the area of Doctors' understanding of statistical concepts and the communication of risk to patients. I am currently commencing an e-learning project in this field and plan to integrate CAL work with video footage of a patient-doctor interview. The project is to be designed to meet the learning needs of medical students at various stages of their curriculum.
It would be a valuable exercise to learn more about what has already been done in the above area.
Many thanks
Best wishes
Margaret
---------------------------------
Yahoo! Messenger NEW - crystal clear PC to PC calling worldwide with voicemail
=========================================================================
Date: Wed, 17 Aug 2005 17:27:54 +0100
Reply-To: Rosie McEachan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rosie McEachan <[log in to unmask]>
Subject: Query: Calculation of Mahalanobis's distance
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear allstat,
=20
I have a data set where N people answer X questions about P behaviours.
The aim is to cluster the behaviours based on the questions. Since I am
not really interested in individuals differences I have decided to
conduct a cluster analysis on a data matrix where each cell contains the
summary (e.g. mean ) of all the individual responses on that question.
However, Everitt, Landau and Leese (2001 - Cluster analysis, 4th Ed)
suggest that it might be more appropriate to use a summary measure which
takes into consideration within-group variation. They suggest using
Mahalanobis's distance. Could anybody tell me how to calculate this
figure in SPSS? Specifically, I am using the aggregate command to create
my 'mean' matrix, and was wondering if there was anyway that I could get
SPSS to compute the matrix using Mahalanobis distance instead of mean
values.
=20
Many thanks in advance for your help.
=20
Rosie
=20
Rosie McEachan
Research Student
Institute of Psychological Sciences
University of Leeds
=20
=========================================================================
Date: Wed, 17 Aug 2005 17:37:47 +0100
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: ASSOCIATE DIRECTOR, BIOSTATISTICS
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Please find attached the latest permanent vacancy for your review;
=20
TITLE: Associate Director, Biostatistics
Department: Global Biometrics
Reporting to: Director of Biometrics
Salary: Base salary =A345K, dependent on experience, including 15% =
annual bonus
Start Date: Targeting November start
DESCRIPTION:
Our client, a global specialty pharmaceutical company, has a strategic =
R&D focus on three therapeutic areas: central nervous system disorders, =
gastrointestinal and renal.
Their global Research and Development expertise supported by =
in-licensing has currently provided a promising pipeline which is =
focused on later stage and lower risk projects.
Functioning within the Global Biometrics Department, they are seeking an =
Associate Director to participate in activities related to all =
statistical aspects of Drug Development. In this role you are expected =
to contribute to clinical program design and regulatory strategy.
Responsibilities
- preparation of relevant components of clinical development plans, =
protocols, statistical analysis plans,
clinical study reports
- contributes to the clinical development strategy
- participates in the contracting of external vendors and resources
- participated in single study or multi-study projects and provides =
input into optimising study design
- assists in the development of CRF's and randomisation schedules
- generates programmes and SAS Macros to produce ready to use tables, =
graphs and listings
- defines the outsourcing strategy for projects=20
- defines contract arrangements with CRO;s and other contractors and =
consultants=20
- may be responsible for supervising staff within Biostatistics =
department
=20
Education and Experience
- M.S. in Biostatistics or closely related field
- PhD in Biostatistics or closely related field is preferred
- 5 years of relevant pharmaceutical development experience
Professional skills
- familiar with complex statistical methods that apply to all phases of =
clinical trials
- strong SAS programming skills using SAS/base, SAS/stat and SAS/graph, =
SAS/macro and knowledgeable
in Windows-based computer systems and applications.
- must have strong working knowledge of statistical methodology used in =
the industry and statistical
analysis plans, including the report outline, mockup table and graph, =
data listing shells and appendices
- working knowledge of filing regulatory documents and complex =
statistical methods applicable to all phases
of clinical trial conduct
- ability to present information to senior management, public groups and =
other departments
Please send CV's to Helena at [log in to unmask] or call =
01438 743047 for a confidential discussion.
Kind regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please visit our website at www.ckclinical.co.uk
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Wed, 17 Aug 2005 19:19:53 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Permanent -Senior Statistical Programmer-South East
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstaters,
=20
=20My=20client=20is=20actively=20looking=20for=20a=20Senior=20Statistical=20=
Programmer=20with
a=20minimum=20of=205=20years=20experience=20in=20the=20pharmaceutical/=20C=
RO=20industry.=20You
will=20be=20required=20to=20participate=20in=20technical=20programming=20a=
nd=20process
improvement=20initiatives=20within=20Global=20Biostatistics.=20Your
responsibilities=20as=20a=20Project=20Lead=20Programmer=20will=20be=20as=20=
follows:
=20Project-manage=20all=20programming=20activities=20on=20the=20program,=20=
according=20to
agreed=20resource=20and=20timeline=20plans
=20Ensure=20all=20programming=20activities=20on=20the=20program=20adhere=20=
to=20departmental
standards=20
=20Create=20or=20review/approve=20all=20programming=20plans=20at=20study=20=
and=20program
level
=20In=20Clinical=20Development,=20may=20be=20a=20global=20role
Set=20up=20study=20level=20programming=20environment
Generate=20randomization=20lists
Review=20SAPs=20from=20the=20programming=20perspective
Draft=20programming=20plans
Review=20and=20approve=20programming=20plans=20drafted=20by=20another=20pr=
ogrammer
Perform=20QC=20checking=20of=20software=20programs=20written=20by=20anothe=
r=20programmer
Manage=20software=20development,=20testing=20&=20release=20in=20a=20Unix=20=
environment
Understand=20and=20execute=20department-level,=20program-level=20and=20stu=
dy-level
macros=20and=20utilities
Write,=20test,=20validate=20department-level,=20program-level=20and=20stud=
y-level
macros=20and=20utilities
Oversee=20the=20work=20of=20outsourcing=20partners=20and=20vendors=20at=20=
study=20level
Contribute=20to=20Requests=20for=20Proposals=20(RFPs)=20from=20outsourcing=
=20vendors=20for
programming=20services.
=20
This=20is=20an=20excellent=20opportunity=20to=20progress=20your=20career=20=
in=20the
pharmaceutical=20industry=20for=20this=20rapidly=20expanding=20company=20i=
n=20the
South-East.=20Excellent=20Salary=20and=20Benefits=20Package.=20
=20
For=20more=20information=20on=20this=20fantastic=20role=20or=20any=20other=
=20questions
relating=20to=20a=20career=20move=20please=20don't=20hesitate=20to=20conta=
ct=20me
immediately.
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Fri, 19 Aug 2005 14:21:49 +1200
Reply-To: Gordon Purdie <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gordon Purdie <[log in to unmask]>
Subject: JOB: Biostatistician, Wellington, New Zealand
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
The Wellington School of Medicine and Health Sciences is seeking to appoint
a Biostatistician to a full-time, permanent position within the Department
of Public Health at either Assistant Research Fellow, Research Fellow or
Senior Research Fellow level.
The successful applicant will be expected to collaborate with health
researchers in the Wellington School of Medicine and Health Sciences,
helping with the design, conduct, and analysis and reporting of research
studies.
They will also be expected to provide competent and timely advice on
statistical issues to health researchers in the Wellington School of
Medicine and Health Sciences and to analyse data from research studies in
the health sciences.
Specific enquiries may be directed to Professor Peter Crampton, Department
of Public Health, Wellington School of Medicine and Health Sciences, Tel 64
4 385 5599 ext 6045, Email [log in to unmask]
Reference Number: A05/128.
Closing Date: Friday 16 September 2005.
For the job descriptions, etc see:
http://policy01.otago.ac.nz/vacancies/FMPro?-db=vacancies.fp3&-format=academic-item.html&-lay=main&-sortfield=closing%5fmm&-sortorder=custom%3Dclosing%5fmm&-sortfield=closing%5fdd&type=Academic&-max=2147483647&-recid=35662&-find
from the http://www.otago.ac.nz/vacancies/index.html page
=========================================================================
Date: Fri, 19 Aug 2005 14:47:30 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Conference: THE ROLE OF MOLECULAR EPIDEMIOLOGY IN OCCUPATIONAL
HEALTH =?iso-8859-1?Q?=96?= HELP OR HINDRANCE? .
Comments: cc: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
I have been asked to forward this to the list.
Please reply to the details given and not to me.
The UK Molecular Epidemiology Group
One-day meeting
8 December 2005
10.00am to 4.30pm
Anthony de Rothschild Lecture Theatre,
St Mary=92s Paddington, Imperial College London
THE ROLE OF MOLECULAR EPIDEMIOLOGY IN OCCUPATIONAL HEALTH =96 HELP OR=20
HINDRANCE? .
Aim: This meeting will draw together people with backgrounds in=20
occupational health, occupational exposure measurement, regulatory standard=
=20
setting, epidemiology, toxicology, public health and occupational medicine=
=20
among others. The aim of the meeting is to discuss the role of molecular=20
epidemiology in the occupational setting, its use in the detection of=20
occupational hazards and the impact for workers, employers and regulators.
Topics: Use of Molecular Epidemiology in:- the occupational setting;=20
improving exposure assessment; detection of early response;=20
gene-environment interactions; updating the Doll and Peto burden of=20
occupational cancer; enhancing epidemiological studies; impact on workers,=
=20
employers and regulators.
Speakers: David Phillips (Institute of Cancer Research, University of=20
London), Steve Rappaport (University of North Carolina School of Public=20
Health), Roel Vermeulen (National Cancer Institute, USA), Sarah Lewis=20
(Department of Social Medicine, University of Bristol), Paolo Boffetta=20
(IARC), Lesley Rushton (Department of Epidemiology and Public Health,=20
Imperial College London), Michael Parker (Centre for Ethics and=20
Communication in Health, University of Oxford).
Registration: The cost for registration prior to 31 October 2005 is =A365=
for=20
UKEMS/MEG members; =A395 for non-members and =A325 for full-time students.=
=20
Registration includes coffee, tea and lunch.
For registration forms and further details please contact:
Jenny Duckmanton, MEG Secretariat, 76, Stockton Lane, YORK YO31 1BN, UK
email: <mailto:[log in to unmask]>[log in to unmask]
For other enquiries please contact:
Dr Lesley Rushton ([log in to unmask])
P R O G R A M M E
09:00 =96 09.50 REGISTRATION AND COFFEE
09:50 =96 10.00 Welcome and Introduction
MORNING SESSION: Chair: Paul Elliott
10:00 =96 10:30 =91Molecular epidemiology in the occupational=
=20
setting =96 what is it and how is it used?=92
David Phillips, Institute of Cancer=20
Research, UK
10:30 =96 11:15 =91Improving exposure assessment in=20
epidemiological studies=92
Steve Rappaport, University of North Carolina, USA
11:15 =96 12:00 =91Molecular epidemiology and the detection of=
=20
early response to occupational hazards=92
RCH Vermeulen, National Cancer=20
Institute, USA
12:00 =96 13:00 LUNCH
AFTERNOON SESSION: Chair: Elio Riboli
13:00 =96 13:45 =91Gene-environment interactions=92
Paolo Boffetta, IARC, France
13:45 =96 14:30 =91Re- calculating Doll and Peto=92s estimates=
of=20
the burden of occupational cancer =96 the role of molecular epidemiology=92
Lesley Rushton, Imperial College, UK
14:30 =96 15:00 TEA
15:00 =96 15:45 =91Can molecular epidemiology solve some=20
traditional problems in epidemiological study design?=92
Sarah Lewis, Bristol University, UK
15:45 =96 16:30 =91The potential impact of molecular=
epidemiology=20
in occupational health for workers, employers and regulators=92
Michael Parker, Oxford University (to=
=20
be confirmed)
16:30 CLOSE OF MEETING
=========================================================================
Date: Fri, 19 Aug 2005 06:58:11 -0700
Reply-To: Lisa Solomon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lisa Solomon <[log in to unmask]>
Organization: Salford Systems (www.salford-systems.com)
Subject: Data Mining On-Site Visit,
CEO of Salford Systems will visit the UK in September
MIME-Version: 1.0
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Content-Transfer-Encoding: 7bit
Salford Systems' CEO, Dr. Dan Steinberg, will be visiting the UK in
September and he would like the opportunity to discuss Salford Systems'
Data Mining software. If you would like me to arrange a meeting time,
please let me know. In a meeting Dr. Steinberg could discuss your
specific applications and demo our software. Also, if you are
interested in seeing real-world case study presentations from our recent
user group conferences, please let me know or click on the below link.
Most of these presentations are available to the public.
http://www.salforddatamining.com/prevprog.htm
Salford Systems develops cost effective, reliable, easy to install, and
trustworthy analytical software. Our technology is drawn from the work
of the world's leading researchers in the field at Stanford University
and the University of California, Berkeley, with whom we collaborate
extensively. We are also rooted in core business practices and are
proud to list American Express, Chase Bank, Ford Motor Company, Pfizer
Pharmaceuticals, and many others among our customers. We have won
several distinguished prizes for our real world applications and
consulting work, including the world-wide KDDCup 2000 data mining
competition for a complex web mining project, the 2003 predictive
modeling and data mining tournament at The Teracenter for CRM at Duke
Univiersity, and the Nikkei Prize in Japan for work relating to
industrial quality control.
If you are looking into adding data mining software and technology to
your business intelligence systems, or wish to upgrade or improve on
what you already have, we believe you will benefit from learning more
about Salford Systems' software and services. Please let me know if you
would like to meet with Dr. Steinberg when he visits the UK.
Best Regards,
Lisa Solomon
619-543-8880 x109
=========================================================================
Date: Fri, 19 Aug 2005 15:03:07 +0100
Reply-To: Louise Foster <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Louise Foster <[log in to unmask]>
Subject: JOB: University Lecturer in Statistical Epidemiology,
Department of Public Health and Primary Care,
University of Cambridge School of Clin ical Medicine
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
University of Cambridge School of Clinical Medicine
Department of Public Health and Primary Care
University Lecturer in Statistical Epidemiology/Epidemiology
An outstanding medical statistician or epidemiologist is invited to =
join, at
a senior level, one of Europe's premier university departments of =
population
health sciences. Appointment will be to the retiring age subject to
satisfactory completion of a probationary period.
You will collaborate with existing groups and help to establish new
programmes of research that are consistent with the Department's =
overall
strategy, particularly in relation to chronic disease epidemiology. =
You
will also contribute to the organisation, delivery, and assessment of
teaching in the Department, including responsibility for the academic
direction of one particular teaching programme.=20
Salary will be on the scale =A324,820 to =A338,303 per annum.
Prospective candidates are welcome to contact Professor John Danesh, =
Head of
Dept, tel: 01223 741310, e-mail: [log in to unmask]
For information pack email Ms L Foster [log in to unmask] tel: =
01223
336809. Closing date for applications (10 copies) together with the =
names
of three referees, 16 September 2005.
Louise Foster
Academic Assistant to Sally Pinnock
University of Cambridge, Clinical School, Box 111
Addenbrooke's Hospital
Hills Road, Cambridge
CB2 2SP
tel: 01223 (3)36809
http://www.medschl.cam.ac.uk/
=========================================================================
Date: Sun, 21 Aug 2005 22:33:25 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: QUERY: Data Fusion
MIME-Version: 1.0
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Content-Transfer-Encoding: 8bit
Dear All,
I have been trying to understand this data fusion
thing for sometime from what material I am getting
from the web. But due to lack of info I am getting
stuck at one point. From what I understand, suppose I
have two different non overlapping datasets, D1 and
D2. D1 has variables b,(buying decision) and common
variables X1, X2,... Xn. and D2 has variables m (media
exposure), and the common variables (X1-Xn). So my
first step would be to fit logit models on these two
different datasets. Now after fitting the models, then
what do I do? How to match these two datasets? That is
what algorithim do I follow now? Could someone explain
to me in layman's terms. Any help will be highly
appreciated.
Regards,
Indrajit Sen Gupta
____________________________________________________
Start your day with Yahoo! - make it your home page
http://www.yahoo.com/r/hs
=========================================================================
Date: Mon, 22 Aug 2005 08:05:13 +0100
Reply-To: Ray Thomas <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ray Thomas <[log in to unmask]>
Subject: Fw: LAST WORDS FROM LEN COOK- THIS THURSDAY
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
THE ATTRIBUTES OF AN INDEPENDENT STATISTICAL SERVICE
A meeting at 5 pm on Thursday 25th August at the Royal Statistical Society,
Len Cook is leaving the UK on 30th August after five years in the top job
in statistics. He was appointed from New Zealand to help fulfil the
Labour Party's 1997 election pledge to create an independent statistics
service. During his five years at the top job Len Cook is said to have
ruled, as Registrar General, on the legality of Prince Charles wedding, and,
through classification of British Rail and road maintenance expenditure
statistics, to have been a significant influence on transport and economic
policy. He says that that strong criticism of statisticians is part of the
British way of life, and criticism of statistics is a way of criticising
government.
So what does Len believe are the attributes of an independent statistical
service?
The Chair will be taken by Simon Briscoe, Statistics Editor of the Financial
Times
The meeting is open to all and there is no charge. Tea will be available
from
4 30 pm. But please email [log in to unmask] or notify on 0207 614 3910
that you are coming.
***********************************************
=========================================================================
Date: Mon, 22 Aug 2005 11:28:41 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Senior Marketing Analyst required =?ISO-8859-1?Q?=96?= Leeds!
Hi All,
An exciting opportunity has arisen within a rapidly growing Marketing
Insight Consultancy company based in Leeds is seeking a Senior Statistical
Consultant to play a vital role in managing and conducting analysis on
their major research projects.
You will have a degree in a Statistical, Economic or Numerical discipline
at grade 2:1 or above with a minimum of 3 years experience working as a
Marketing Analyst, Senior Analyst or Statistical Consultant. Experience
using SAS, SPSS, S-Plus or other Statistical Packages are desirable along
with a good working knowledge of Statistical Techniques such as CHAID,
Conjoint, Segmentation Analysis or Regression Modelling.
This is an exciting opportunity for someone looking to take the next step
in their career or someone who seeks a new challenge. Excellent
communication skills are essential as you will be presenting your findings
to external clients. To work alongside some of the brightest Analytical
minds in UK insight apply here!
Location: Leeds, Yorkshire
Salary: Negotiable up to c.35K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8964/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Mon, 22 Aug 2005 11:36:23 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Ready for a promotion? =?ISO-8859-1?Q?=96?= Leeds
Hi All,
My client, a leading financial organisation is seeking a Project Manager
to work within their Information Management team. You will have a degree
in a Numerical or Statistical discipline at grade 2:1 or above with a
minimum of 3 years in a Senior Credit Analysis, Senior Marketing Analysis
or Project Management role, using SAS or similar Statistical Package.
This role will include analysing customer, product and channel information
to gain understanding of portfolio trends and management of the
development of bad debt forecasting models. Good communication skills are
essential as there will be ongoing liaisons with internal customers,
clients and team members.
This role would suit someone looking to take the next step up in their
career or an Analytical Project Manager seeking a new challenge. This role
provides ongoing training and support to ensure that any development needs
are fulfilled. Apply today to take advantage of this opportunity!
Location: Leeds, Yorkshire
Salary: Negotiable up to c.35K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8963/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Mon, 22 Aug 2005 12:03:56 +0100
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Underwriting Analyst
Dear All,
Datatech have the following requirement,
Analyst South East to 44K Plus Benefits
Working within the actuarial department of a highly acclaimed general
insurer, you will be responsible for complex pricing proposals involving
the development of strategy and implementation of new product pricing.
Your remit will include monitoring performance, researching market
information, creating pricing models and programming bespoke reports in
response to ad-hoc requests.
You are a highly numerate graduate with at least two years' experience and
in-depth knowledge of SAS.
This is a great opportunity to make a real impact within the pricing
analysis arena.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
Tel: 01256 314 660
Fax: 01256 314 669
Email: [log in to unmask]
=========================================================================
Date: Mon, 22 Aug 2005 14:31:59 +0100
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
ASSESS: THE SPSS USERS" GROUP, 19th ANNUAL MEETING
ON FRIDAY 11TH NOVEMBER 2005
AT DEPARTMENT OF HEALTH SCIENCES
UNIVERSITY OF YORK, YORK
ASSESS is an independent user group for SPSS, a computer package for analysing
and presenting data. It is run by users, for users and is completely independent
of manufacturers of the software. The meeting is open to all users of SPSS and
to anyone interested in SPSS.
Come along to:
* hear SPSS users talk about applications,the problems and solutions
* hear the latest news from SPSS UK staff about product developments,
and put your questions to them
* question a panel of experts about particular problems
* exchange ideas with other SPSS users
* plan for an even better user group.
The Department of Health Sciences is in the Seebohm Rowntree Building on York
University campus located in Heslington, 2 miles to the south-east of the city
centre. It takes 10-15 minutes in a taxi from the railway station. Buses also
go to the University (See http://www.york.gov.uk/roads/bus/). University Parking
and location details are at http://www.york.ac.uk/np/maps/. Accommodation
is bookable via tourist information on (01904) 621756 or (01904) 554455.
THE PROVISIONAL PROGRAMME**
* Welcome and introduction to meeting
* SPSS company and product news; SPSS software demonstrations
* Ordered logistic regression Using PLUM
by Venkata Putcha, Thames Cancer Registry
* Issues in using SPSS in an educational research environment
by Ian Schagen, National Foundation for Education Research
* The use of SPSS in Market Research: segmentation and profiling of customers
by Kate Grayson, Statistics by Design
* Common SPSS procedures on health and medical data
by Elizabeth Wiredu, Edgehill College
* Lovely lucid logistics: the analysis and graphic presentation of
effects of nominal and metric variables on binary outcomes
by Diana Kornbrot, University of Hertfordshire
* Users" Question Time and Clinic
* Annual General Meeting of ASSESS.
Registration and coffee will start at 10am. Papers and other events will run
from 10.30am to about 5.10pm. Coffee, lunch and afternoon tea are included
in the registration fee. A timetable will be e-mailed to delegates in advance
of the meeting.
______________________
** The titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
ASSESS : SPSS USERS' GROUP
Friday 11th November 2005, Dept. Health Sciences, University of York
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received. Payment possible by BACS. Details on request.
Name: ______________________________ Tel: ____________________
Email: ______________________________ Fax: ____________________
Job Title: ___________________________________
Organization: ___________________________________
Address: ___________________________________________________
___________________________________________________
_______________________ Postcode _______________
Strike out the sections which do not apply to you, or otherwise amend as
appropriate:
INDIVIDUAL BOOKING. Please reserve a place for me, at a cost of 45 GBP.
CORPORATE BOOKING. (Enter the appropriate amounts)
Please reserve ______ places, at a cost of _____GBP (45 GBP for the first
person and 40 GBP for each subsequent person).
Names of attendees : 1. _______________________________________
(for badges) 2. _______________________________________
3. _______________________________________
4. _______________________________________
5. _______________________________________
STUDENT (POST-GRADUATE) BOOKING. (Enclose photocopied evidence of status
for 2005-2006 academic year). Please reserve for me one of the student
places, at a cost of 25 GBP.
Specify vegetarian or other dietary requirements, if any:
________________________________________________________________
Cheque or official order enclosed for _______GBP
For official orders please also give here the number and address for invoicing:
________________________________________________________________
________________________________________________________________
________________________________________________________________
Return completed forms to: Peter Watson, MRC Cognition and Brain
Sciences Unit, 15 Chaucer Road, Cambridge, CB2 2EF.
Telephone enquiries about bookings: 01223 355294 x801 (has an answerphone)
E-mail enquiries about bookings: [log in to unmask]
(important: put "ASSESS" in the Subject field)
=========================================================================
Date: Mon, 22 Aug 2005 16:22:34 +0100
Reply-To: Jake Ansell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Ansell <[log in to unmask]>
Subject: Meeting: RSS, Business and Industrial Section Meeting,
26th October
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
Business and Industry
Date: 26th October 2005
Time: 3.30
Location: Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
Title: Adventures with industry
Speaker: Sue Lewis (University of Southampton)
Abstract
This talk describes collaborative projects with manufacturing industries
which involved developing methods of designing experiments for product
and process improvement. Techniques discussed will include group
screening for the detection of important or "active" factors and
algorithms for investigations on assembled products. Two applications
will be used to show how theoretical results and software tools can be
used to guide the planning of appropriate experiments.
Tea/Coffee: 3.00.
=========================================================================
Date: Mon, 22 Aug 2005 20:12:58 +0100
Reply-To: Sivasubramaniam Selvaraj <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sivasubramaniam Selvaraj <[log in to unmask]>
Subject: Query: Calculating Incidence rate ratios for time-varying exposure
Dear all:
I am working on a dataset from a cohort study. I have time-varying
dichotomous exposure variable and the outcome being the onset of cancer. I
need to calculate the incidence rates and also the rate ratios adjusted for
time-varying and time-independent categorical covariates.
While extended Cox model allows for time-varying covariates, I am not sure
on how to deal with time-varying exposure. Any references or comments are
highly appreciated.
Regards,
Selvaraj
Research Fellow,
Centre for Rural Health (Univ of Aberdeen)
Beechwood Business Park North
Inverness IV2 3BL.
=========================================================================
Date: Tue, 23 Aug 2005 01:03:59 +0200
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon HITIER <[log in to unmask]>
Subject: Simon Hitier/FR-CHILLY/RESEARCH/SANOFI est absent(e).
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Je serai absent(e) du 20/08/2005 au 18/09/2005.
I am out of the office until September 19th 2005 (excluded).
In case of urgent matter re: EFC4508 or EFC4788, please contact Sylvie
Bozzi (+33 1 69 79 40 30).
For issues re: DRI5760, please get in touch with Sophie Rouillat (+33 1 69
79 42 81).
For any burning questions related to other SSR149744C studies, please
contact either Raphael Bejuit (+33 1 55 71 74 87 or +33 1 69 79 79 39) or
Fabienne Noel (+33 1 69 79 42 64).
Thank you.
=========================================================================
Date: Mon, 22 Aug 2005 16:13:52 -0700
Reply-To: richard bowyer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: richard bowyer <[log in to unmask]>
Subject: Query: Comparing variability in ordinal data
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Hi All,
I have the following question:
For 2 surveys taken in different counties I have multiple responses for the
same set of questions. I would like to test to see which county has the
higher response variability. Here is an example
County A, has 4 judges A1, A2, A3, A4
County B, has 4 judges B1, B2, B3, B4
I have a set of 20 questions Q1, Q2, ..., Q20 each question is graded 8
times (4 for each county) on a 5 point ordinal scale. So my data might look
like, where each of the cells represent that judge's grade for that question
on a 5 point ordinal scale.
question A1 A2 A3 A4 B1 B2 B3 B4
Q1 ... .... .... ...
Q2
...
I would like to answer the question whether of not there is more judgment
variability in county A or county B?
Your thoughts,
Richard.
=========================================================================
Date: Tue, 23 Aug 2005 10:15:47 +0100
Reply-To: "Dr. Les Huson" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Dr. Les Huson" <[log in to unmask]>
Subject: Statistics Lecturer for European School of Osteopathy
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
I have been asked by a colleague to foward the following to ALLSTAT:
*The **European** **School** of Osteopathy is desperately in need of a
lecturer in statistics who is able to cover undergraduate and
postgraduate level statistics.*
* *
*The School is based in **Maidstone**, **Kent** and operates two degree
programmes : BSc Hons Osteopathy and MSc Osteopathy.*
* *
*Further information may be obtained from Dr Paula Fletcher on:
[log in to unmask] <mailto:[log in to unmask]>*
*
Tel: 01622 671558*
Dr. L. W. Huson BA PhD DIC CStat
Consultant Medical Statistician
GNB Limited
http://www.gnb.ltd.uk
Tel: +44 (0)20 8295 1314
=========================================================================
Date: Tue, 23 Aug 2005 12:38:18 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: CONTRACT-Statistical Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstaters,
=20
Please=20find=20below=20our=20latest=20contract=20Statistical=20Programmer=
=20role=20in
Switzerland.=20If=20you=20match=20the=20skills=20below=20please=20forward=20=
a=20copy=20of=20your
up=20to=20date=20CV=20as=20soon=20as=20possible=20or=20contact=20me=20to=20=
discuss=20our=20current
requirements.=20This=20is=20initially=20a=206=20month=20contract=20startin=
g=20in=20SEP/OCT
based=20in=20Switzerland.
=20
*=20=20=20=20=20=20=20=20=20Demonstrated=20ability=20to=20lead=20programmi=
ng=20aspects=20of=20a=20clinical
trial
*=20=20=20=20=20=20=20=20=20Expert=20knowledge=20of=20SAS,=20including=20S=
AS=20BASE,=20Macro,=20Report,
familiarity=20with=20SAS=20Graph,=20ODS=20and=20SQL=20desired
*=20=20=20=20=20=20=20=20=20Experience=20of=20involvement=20in=20project=20=
level=20programming
activities=20(pooling=20of=20data=20for=20ISS,=20ISE),=20electronic=20subm=
ission
*=20=20=20=20=20=20=20=20=20Good=20knowledge=20of=20clinical=20trials,=20s=
tatistics
*=20=20=20=20=20=20=20=20=20Good=20knowledge=20of=20ICH=20GCP=20issues=20a=
s=20they=20affect=20reporting
*=20=20=20=20=20=20=20=20=20Fluent=20in=20English
*=20=20=20=20=20=20=20=20=20Minimum=20a=20BA/BS=20University=20degree=20in=
=20Computer=20Science,
Statistics=20or=20related=20scientific=20field
*=20=20=20=20=20=20=20=20=20At=20least=205=20years+=20in=20roles=20as=20St=
atistical=20Programmer
(pharmaceutical=20company=20or=20CRO)
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Tue, 23 Aug 2005 14:45:32 +0100
Reply-To: Cherag Kalapesi <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cherag Kalapesi <[log in to unmask]>
Subject: JOBS - Biometric Modelling Expert - London - up to
=?ISO-8859-1?Q?=A365,000?= base salary
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
This leading global reinsurer is looking for a modelling expert with=20
postgraduate qualifications in the fields of actuarial science, statistics=20
or epidmiology to take responsibility for the development of=20
epidemiological models for mortality and morbidity.
In conjunction with the Chief Risk Officer, Insurance Risk Actuary & Group=20
Risk Management team you will:
- Liase with outside experts in disease and epidemic management to broaden=20
understanding of catastrophic mortality events =96 evolution, spread,=20
control, government reaction
- Develop epidemiological models of shock mortality/morbidity events to be=20
used in determination of internal capital requirements
- Model biometric events for regulatory purposes
- Support deal teams with modelling of biometric events for=20
securitisations / bond issuances (Longevity and mortality)
- Modelling of business group exposures to catastrophic events worldwide,=20
risk accumulations and possible mitigation strategies
=========================================================================
Date: Tue, 23 Aug 2005 12:19:54 -0400
Reply-To: andrew Lawson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: andrew Lawson <[log in to unmask]>
Subject: Job: Research Fellow Spatial Biostatistics
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
*Post doctoral Research Fellow in Spatial Biostatistics*
This position seeks a post-doc for a USGS-funded research project
to analyze the spatial-temporal characteristics of chronic wasting
disease (CWD) in wild deer and elk. (CWD is a disease of deer and elk
in the family
of prion diseases that includes mad cow disease; this study will focus
on data from Colorado.) The general goal of the project is to examine
the extent to which disease patterns can be modeled spatially.
This position will involve the development and application of new
statistical approaches to accommodate the unique aspects of CWD epidemics
and CWD data.
The ideal candidate will have a Ph.D. in statistics or biostatistics.
Desired skills include proficiency in statistical computing, and knowledge
of spatial statistics, survival analysis, and Bayesian models/MCMC
techniques.
Familiarity with GIS would be a plus.
The position will involve some travel to consult with collaborators
(Ft. Collins, Colorado and Madison Wisconsin).
The position holder will report directly to Professor Andrew Lawson,
Department of Epidemiology & Biostatistics, Arnold School of Public Health,
University of South Carolina.
This is a one year appointment, with potential for a second year extension.
Initial informal enquiries can be made directly to Andrew Lawson
at [log in to unmask] Formal applications can be made via the USC
web site at http://hr.sc.edu/employ, under the Department of Epidemiology &
Biostatistics. The position application is not yet available but will
be available at this site in the next few days.
------------------------------------------------------------------------
=========================================================================
Date: Tue, 23 Aug 2005 17:29:02 +0100
Reply-To: Andrew Roddam <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew Roddam <[log in to unmask]>
Organization: CEU, University of Oxford
Subject: JOBS: 2 Researchers in Epidemiology, Oxford
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable
Please bring these two job vacancies to the attention of any colleagues
who might be interested.
Applications are invited for the following two posts to work in the
Cancer Epidemiology Unit, based at the University=92s Old Road Campus, in
Headington. The main focus of the Unit=92s research is on providing large
scale reliable evidence on the relationships between lifestyle factors
(such as diet, reproductive factors, the use of oral contraceptives and
hormone replacement therapy), endogenous hormones, and common conditions
of public health importance such as cancer of the breast, prostate, and
cervix, cardiovascular disease and fractures. Both appointees will be
responsible for the planning and conduct of research projects on the
epidemiology of common cancers. These posts are funded by Cancer
Research UK until 31 March 2009.
Researcher (Epidemiology)
Grade D32 Researcher : Salary =A327116 to =A335883pa (according to experi=
ence)
The successful applicant will hold a post graduate qualification in
epidemiology or a closely related subject with a minimum of six years
post-doctoral research experience. It is essential that the appointee
should have experience in the planning and management of epidemiological
analyses and in the subsequent dissemination of research findings in
peer-reviewed publications and by presentations at international
scientific meetings. Applicants must be able to demonstrate their
ability to co-ordinate large projects in a multi-disciplinary team
environment, as well as forming effective collaborations with other
research groups.
Clinical Researcher (Epidemiology)
Grade E64 Clinical Researcher : Salary =A328307 to =A345321pa (according =
to
experience)
The successful applicant will be clinically qualified with a post
graduate qualification in epidemiology and a minimum of three years
experience in the planning and management of epidemiological analyses.
Experience in the dissemination of research findings by peer-reviewed
publications and presentations at international scientific meetings is
essential. Applicants must be able to demonstrate their ability to
co-ordinate large projects in a multi-disciplinary team environment, as
well as forming effective collaborations with other research groups.
Detailed job descriptions and application forms are available from web
page www.jr2.ox.ac.uk/ndm/jobs1.htm, alternatively e-mail
[log in to unmask] or tel 01865 221325 quoting reference
HB/05/039/SB or HB/05/041/SB. The closing date for applications is
Monday 12th September 2005.
--=20
Dr Andrew Roddam
Cancer Research UK Epidemiology Unit
University of Oxford
Richard Doll Building
Old Road Campus
Oxford UK
OX3 7LF
T: +44 (0)1865 289600
F: +44 (0)1865 289610
=========================================================================
Date: Wed, 24 Aug 2005 11:28:23 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Senior Credit Analyst required
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Content-Type: text/plain; charset=ISO-8859-1
Hi All,
An opportunity has arisen for a Senior Credit Risk Analyst to join a=20
reputable finance company in Macclesfield. You will have a degree in a=20
Statistical or Numerical discipline at grade 2:1 or above with a minimum=20
of 3 years experience working as a Credit Analyst or Senior Credit analyst=20
using Statistical Packages such as SAS, SPSS, S-Plus or similar. A sound=20
working knowledge of Regression, Time Series, Forecasting or other=20
Statistical Techniques are desired. You will be reviewing operational=20
performance data and making recommendations for change and risk=20
mitigation. The successful candidate will have a strong commercial and=20
business awareness with the ability to work to tight deadlines. Call=20
today!=20
Location: Macclesfield, North West
Salary: =A330-35K + Excellent Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8965/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 24 Aug 2005 12:10:05 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Statistical Analyst required - Leeds!
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Hello All,
My client is at the cutting edge of the financial services sector and is=20
part of one of the countries leading financial services organisations.=20
Based in Leeds they are seeking a Statistical Analyst to work within their=20
Information analysis team where you will be responsible for identifying=20
opportunities for business change and supporting the business to meet=20
objectives and drive profit targets. Experience using Statistical Packages=20
such as SAS, SPSS or similar along with a working knowledge of Regression,=20
Time Series or other Statistical Techniques to analyse data. You will have=20
a degree in a Statistical or Numerical discipline at grade 2:1 or above=20
with a minimum of 1 years work experience in a Statistical or Econometric=20
role preferably using Visual Basic. Excellent communication and=20
interpersonal skills are essential as you will be liaising with colleagues=20
regularly. Call today!=20
Location: Leeds, Yorkshire=20
Salary: =A317-21K + Excellent Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8967/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 24 Aug 2005 14:23:00 +0100
Reply-To: Mike Prentice <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mike Prentice <[log in to unmask]>
Subject: JOBS: Chairs in Edinburgh
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Content-Transfer-Encoding: 7bit
Subject: Statistics in Edinburgh
Text:
Two chairs in the mathematical sciences are being advertised at
present in a new initiative between Edinburgh and Heriot-Watt
Universities. Statistics (in the broadest sense) is an area that is
being targetted. Anyone who wishes to chat informally about the
opportunities is welcome to contact Colin Aitken (+44 (0) 131 650 4877)
at Edinburgh University, or Gavin Gibson (+44 (0) 131 451 3205) or
Serguei Foss (+44 (0) 131 451 3238) at Heriot-Watt University.
One of the positions is to be held in the School of Mathematics at
the University of Edinburgh, with the other to be held in the School of
Mathematical and Computer Science at Heriot-Watt University. The
positions are available at a mutually agreed date after 1st January
2006. Two further positions at the level of lecturer or reader will be
advertised by early 2006.
Following receipt of substantial government funding from the
Scottish Higher Education Funding Council and the Office of Science and
Technology, the University of Edinburgh and Heriot-Watt University are
forming a research partnership in engineering and mathematics, called
the 'Edinburgh Research Partnership'. As part of this partnership, the
Maxwell Institute of Mathematical Sciences has been formed. The
Institute comprises all research-active staff in the School of
Mathematics at UoE and in both the Department of Mathematics and the
Department of Actuarial Mathematics and Statistics at HWU. The
departments involved have a strong commitment to excellence in teaching
and research and, through these joint appointments, intend to attract
new mathematical talent to create a pre-eminent environment for research
and postgraduate training in the mathematical sciences.
The further particulars for the chairs in the mathematical sciences
can be found on the Maxwell Institute web site at
http://www.maxwell.ac.uk/furpart.html.
--------------------------------------------------
--
--
C.G.G. Aitken,
School of Mathematics, Phone: (0)131 650 4877
The King's Buildings, Fax: (0)131 650 6553
The University of Edinburgh, EH9 3JZ. E-mail: [log in to unmask]
Scotland. http://www.maths.ed.ac.uk/~cgga
=========================================================================
Date: Wed, 24 Aug 2005 12:09:36 -0400
Reply-To: "Pyke, Stephen" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Pyke, Stephen" <[log in to unmask]>
Subject: ANNOUNCE: PSI 1-day scientific meeting -- 18 October 2005
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Challenges in the Design and Analysis of Non-inferiority and =
Equivalence
Trials
Leading professionals from industry, regulatory and academia will =
present a
range of interesting and topical issues, which will aid statisticians =
in the
design and understanding of non-inferiority and equivalence trials
Tuesday 18th October 2005
Venue
Royal Statistical Society
12 Errol St
London EC1Y 8LX
10.00 - 10.30 Registration
10.30 - 11.15 Establishing non-inferiority: An overview
11.15 - 11.40 Coffee
11.40 - 12.20 Points to consider on the choice of non-inferiority =
margin
12.20 - 13.00 Switching between non-inferiority and superiority-What =
are
the issues?
13.00 - 14.00 Lunch
14.00 - 14.40 Design and analysis of non-inferiority studies - a =
practical
illustration
14.40 - 15.20 Differing approaches in non-inferiority trial design
analysis between US and EU
15.20 - 15.50 Coffee
15.50 - 16.30 Non-inferiority trials in cardiology - a personal
perspective
16.30 - 17.10 How can we provide evidence to support assay sensitivity
17.10 Meeting Closes
Registration Costs=20
Fee includes lunch & refreshments
Registration before 12th September 2005
PSI Members =A3129.25 (inc. =A319.25 VAT)
Non-Members =A3146.88 (inc. =A321.88 VAT)
Registration on or after 12th September 2005
PSI Members =A3188.00 (inc. =A328.00 VAT)
Non-Members =A3205.63 (inc. =A330.63 VAT)
Contact
Alison Houghton
Tel: +44 (0)1625 267880 ext 228
Fax: +44 (0)1625 267879 =20
[log in to unmask]
PSI Executive Office
Resources for Associations
South Park Road, Macclesfield
SK11 6SH, UK
On line registration and Payment is now possible using Credit Card via =
the
Website: www.psiweb.org
=========================================================================
Date: Wed, 24 Aug 2005 17:35:33 +0100
Reply-To: Amanda Lee <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Amanda Lee <[log in to unmask]>
Subject: Job: Research Fellow, University of Aberdeen (first advert)
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
Reference number: YZY175R
Job Title: Research Fellow in Statistics
Subject/Discipline: School of Biological Sciences
Length of Post: Three Years
Closing Date: 20-Sept-05
Salary range: =A323,643 - =A335,883 per annum
A statistician is required immediately to support research programmes=20
within the School of Biological Sciences, much of whose work was 5-rated in=
=20
the last RAE. The post will be physically located in the School with line=
=20
management from the College's Medical Statistics team. Duties will include=
=20
consultancy advice to biologists, support for grant-funded work and some=20
postgraduate teaching.
Experience of collaborative applied statistics work with empiricists is=20
essential. Applicants will have a sound basis in statistics and=20
mathematical modelling, with a postgraduate qualification in statistics or=
=20
a related subject with a high statistical content preferably with=20
applications in a biological subject. Expertise is required in either=20
bioinformatics or model fitting using Bayesian techniques. Proficiency in=
=20
the R-language would also be an asset. Some teaching experience is=20
desirable. You will be flexible and multi-skilled with good communication=
=20
skills and the ability to work both independently and as part of a team.
Informal enquiries may be made to Professor Xavier Lambin (tel 01224=20
273259, email <mailto:[log in to unmask]>[log in to unmask]) in=20
Biological Sciences or Dr Amanda Lee (tel 01224 554535, email=20
<mailto:[log in to unmask])%20in%20Medical%20Statistics.>=20
[log in to unmask])<mailto:[log in to unmask])%20in%20Medical%20Statistic=
s.>=20
in Medical Statistics.
Online application forms and further particulars are available from=20
www.abdn.ac.uk/jobs. Alternatively email [log in to unmask] or telephone=20
(01224) 272727 (24-hour answering service) quoting reference number YZY175R=
=20
for an application pack.
----------------------------------------------------------------------------=
----------
Dr Amanda Lee
Reader
Department of General Practice and Primary Care
Foresterhill Health Centre
Westburn Road
Aberdeen AB25 2AY
Tel: 01224 554535
Fax: 01224 550683
E-mail: [log in to unmask]
=========================================================================
Date: Wed, 24 Aug 2005 19:17:41 +0100
Reply-To: Janine Gray <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Janine Gray <[log in to unmask]>
Subject: JOB: Lecturer/Research Fellow in Medical Statistics,
University of Newcastle upon Tyne
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
In conjunction with the Clinical Research Centre, to contribute to =
statistical aspects of clinical studies from design through to analysis =
and reporting. You will organise and contribute to the provision of =
statistical support to postgraduate students within the Faculty as well =
as pursue medical statistics research related to projects running =
through the CRC. Applicants should have a postgraduate qualification in =
statistics. Those applying at the lecturer grade should demonstrate a =
good record in research and teaching and the ability to communicate well =
with both statistical and non-statistical colleagues. Applicants at =
Research Fellow grade should demonstrate a clear potential for =
developing these skills.=20
Salary will be Lecturer Grade A (=A323,643 - =A327,116); Lecturer Grade =
B (=A327,989 - =A335,883) or Research Associate Grade (=A322,507 - =
=A329,128).
For an informal discussion please contact Dr Janine Gray (tel +44(0)191 =
222 7897 e-mail [log in to unmask], or Ms Denise Howel (tel +44(0)191 =
222 7381/5370 e-mail [log in to unmask]).
Job Ref: A372A
Further particulars and an employment record form can be downloaded from =
the website
http://www.ncl.ac.uk/vacancies/
Janine Gray
Deputy Director, Newcastle Clinical Trials Unit
Centre for Health Services Research
University of Newcastle
21 Claremont Place
Newcastle
NE2 4AA
Tel: +44 (0) 191 222 7897
Fax: +44 (0) 191 222 6043
and=20
Clinical Research Facility
4th Floor, Leazes Wing
Royal Victoria Infirmary
Newcastle upon Tyne
NE1 4LP
Phone: +44 (0)191 246 4667 / +44 (0)191 282 0083=20
=========================================================================
Date: Thu, 25 Aug 2005 10:19:14 +0100
Reply-To: David Firth <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Firth <[log in to unmask]>
Subject: JOB: University of Warwick, 3 permanent and 1 postdoc positions
in Statistics
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Content-Type: text/plain; charset=US-ASCII; format=flowed
CENTRE FOR RESEARCH IN STATISTICAL METHODOLOGY
Department of Statistics, University of Warwick
Applications are invited for three new permanent academic/research
positions in Statistics (two at Lecturer level, one at Reader/Professor
level), and one 3-year postdoctoral Research Fellowship.
These posts are all associated with CRiSM, a major new research
initiative funded jointly by EPSRC, HEFCE and the University of
Warwick. For further information, follow the job vacancies link at
http://www.warwick.ac.uk/go/crism
Closing dates for applications are 1 November (for the Research
Fellowship) and 15 November (for the permanent positions).
=========================================================================
Date: Thu, 25 Aug 2005 12:03:29 +0100
Reply-To: Jamie Burnett <[log in to unmask]>
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<[log in to unmask]>
From: Jamie Burnett <[log in to unmask]>
Subject: Quesry: Binary Logistic Regression
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
Hi,=20If=20I=20have=20the=20following=20output=20from=20a=20binary=20logis=
tic=20regression=20can
I=20interpret=20it=20as=20follows
Driver=09=09=09=09=09=09=09=09Odds
Ratio=09=09Interpretation
Q55D.=20I=20am=20a=20Government=20official=09=09=09=092.35
2.35=20times=20more=20likely=20to=20Participate=20
Q58A.=20I=20have=20Attended=20a=20public=20meeting=20or=20rally=09=093.76
3.76=20times=20more=20likely=20to=20Participate=20
Live=20in=20Birmingham=09=09=09=09=09=090.66
1.5=20times=20less=20likely=20to=20Participate=20
Live=20in=20Luton=09=09=09=09=09=09=091.77
1.77=20times=20more=20likely=20to=20Participate
I=20am=20looking=20at=20predicting=20particpation,=20i.e.=20if=20a=20respo=
ndent
participates=20=3D=201=20or=20if=20they=20do=20not=20=3D=200.=20
Is=20it=20OK=20to=20say=20that=20if=20you=20live=20in=20Birmingahm=20you=20=
are=201.5=20times=20less
likely=20to=20particpate=20(1/0.66)=20than=20if=20you=20do=20not=20live=20=
in=20birmingham.=20Or
should=20I=20be=20saying=20that=20if=20you=20live=20in=20Birmingham=20the=20=
likelihood=20to
particpate=20drops=20by=2034%.=20Or=20are=20these=20saying=20exactly=20the=
=20same=20thing?
Thanks
Jamie=20
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D
Disclaimer
This=20e-mail=20is=20confidential=20and=20intended=20solely=20for=20the=20=
use=20of=20the
individual=20to=20whom=20it=20is=20addressed.=20Any=20views=20or=20opinion=
s=20presented=20are
solely=20those=20of=20the=20author=20and=20do=20not=20necessarily=20repres=
ent=20those=20of
MORI=20Limited.=20
If=20you=20are=20not=20the=20intended=20recipient,=20be=20advised=20that=20=
you=20have
received=20this=20e-mail=20in=20error=20and=20that=20any=20use,=20dissemin=
ation,
forwarding,=20printing,=20or=20copying=20of=20this=20e-mail=20is=20strictl=
y=20
prohibited.=20If=20you=20have=20received=20this=20e-mail=20in=20error=20pl=
ease=20either=20
notify=20the=20MORI=20Servicedesk=20by=20telephone=20on=2044=20(0)=2020=20=
7347=203000=20
or=20respond=20to=20this=20e-mail=20with=20WRONG=20RECIPIENT=20in=20the=20=
title=20line.
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=20
_____________________________________________________________________
This=20e-mail=20has=20been=20scanned=20for=20viruses=20for=20MORI=20by=20M=
essageLabs.=20For=20further=20information=20visit=20http://www.mci.com
=========================================================================
Date: Thu, 25 Aug 2005 14:11:13 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Keith Briggs <[log in to unmask]>
Subject: lottery - ignorance and abuse of statistics
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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There are often requests on this list for examples of bad statistics in =
the media. The Guardian on Aug 20 (page 16) had
a story about a man who won a French lottery twice with the same =
numbers. A lottery spokesman reportedly said
"the odds of the same seven-digit series cropping up twice were =
"virtually incalculable"". Surely this is an admission
of incompetence?
For another example of how to fool people over the lottery, please see =
http://keithbriggs.info/lottery.html.
Keith
=========================================================================
Date: Thu, 25 Aug 2005 14:43:36 +0100
Reply-To: Hema Mistry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Hema Mistry <[log in to unmask]>
Subject: Economic Evaluation in Health Care (early registration deadline)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Apologies for cross-posting
* * * Early Registration Deadline (up to and including 5 September) * * =
*
Economic Evaluation in Health Care
Health Economics Research Group, Brunel University
Three day course at Uplands Conference Centre, Buckinghamshire (9-11 =
November 2005)
This three day course provides an in-depth introduction to methods, =
techniques and use of economic evaluation in health care for those with =
no, or little, previous training in health economics. It draws on the =
extensive experience of the Health Economics Research Group and the =
teaching combines formal presentations, group work on case studies and =
opportunities for one-to-one discussions with the faculty. Early =
booking is advised and rewarded!
For further details please visit: =
http://www.brunel.ac.uk/about/acad/herg/courses/. =20
If you require any further information, please don't hesitate contacting =
me.
Kind regards.
Nicky
________________________________________________
Nicky Dunne
HERG Administrator
Health Economics Research Group
Brunel University
Uxbridge
Middlesex UB8 3PH, UK
Tel: +44 (0)1895 265443
Fax: +44 (0)1895 269708
Email: [log in to unmask]
=========================================================================
Date: Thu, 25 Aug 2005 08:45:16 -0700
Reply-To: SamL <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: SamL <[log in to unmask]>
Subject: Re: lottery - ignorance and abuse of statistics
Comments: To: Keith Briggs <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
What the spokesman should have said is, "The odds of the same seven-digit
series cropping up twice are virtually incalculable by me."
Just my take on that humorous note. Hope all is well.
Sam
On Thu, 25 Aug 2005, Keith Briggs wrote:
> There are often requests on this list for examples of bad statistics in
> the media. The Guardian on Aug 20 (page 16) had a story about a man who
> won a French lottery twice with the same numbers. A lottery spokesman
> reportedly said "the odds of the same seven-digit series cropping up
> twice were "virtually incalculable"". Surely this is an admission of
> incompetence?
>
> For another example of how to fool people over the lottery, please see http://keithbriggs.info/lottery.html.
>
> Keith
>
=========================================================================
Date: Fri, 26 Aug 2005 08:58:34 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: L Fisher <[log in to unmask]>
Subject: GSK Permanent Vacancies - Reference Number 27149,
(Senior) Statisticians; Ware, Stevenage,
Tonbridge - South East England
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Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: base64
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=========================================================================
Date: Fri, 26 Aug 2005 11:11:20 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: A philosophical question, perhaps
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi Allstat,
It suddenly occurred to me strange that when we do regression, we
calculate by default the Conditional Confidence Intervals for our
parameters, rather than the Marginal CI. Now if we want to tell people
that parameter beta has a 95% chance of falling within a particular
region, shouldn't we tell them the marginal CI?
Am I just confused here?
Tim
=========================================================================
Date: Fri, 26 Aug 2005 13:44:59 +0200
Reply-To: Dieter Vanderelst <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dieter Vanderelst <[log in to unmask]>
Subject: Multi Dimensional Scaling
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Hello,
I'm a student currently studying Multi Dimensional Scaling thechniques.
I have difficulties finding answers to some of my questions. Therefore I
thought maybe some of you could help me out.
These are are my questions:
* While fitting the INDSCAL model, the proximity data (the raw data) are
first transformed to scalar products. I wonder why this is done. I could
only find that Carroll and Chang decided to do this because this makes
fitting the model more easy because this why the INDSCAL model can be
seen a special case of the CANDCOMP model. Does anybody know whether
there is anymore to this or could somebody explain this a little
further? Why are the scalar products being called "quasi scalar"?
* In the wandering ideal point model, one represents the subjects by
heuristic variables, while the objects are represented by fixed
variables. Why is this? Is this just a matter of convention? Could one
as well represent the subjects as static variables and the objects as
heuristic variables?
Many Thanks,
Dieter
--
Homepage: http://boa-web.org/
=========================================================================
Date: Fri, 26 Aug 2005 13:47:33 +0100
Reply-To: "Ciraki,D" <[log in to unmask]>
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<[log in to unmask]>
From: "Ciraki,D" <[log in to unmask]>
Subject: Re: A philosophical question, perhaps
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable
Well Tim,=20
We shouldn't be telling them that beta has a chance of falling within a =
particular region in the first place unless it is Bayesian CI we are =
talking about, since it is the other way around.
As for the philosophical bit, is this a multiple or simple regression? =
Do we have a joint distribution of all model parameters and what is beta =
conditioned on? So, do we wish to interpret a particular beta ceteris =
paribus or we don't care about where are the other coefficients located? =
Dar
-----Original Message-----
From: Timothy Mak [mailto:[log in to unmask]]
Sent: Fri 8/26/2005 11:11 AM
To: [log in to unmask]
Cc:=09
Subject: A philosophical question, perhaps
Hi Allstat,=20
It suddenly occurred to me strange that when we do regression, we=20
calculate by default the Conditional Confidence Intervals for our=20
parameters, rather than the Marginal CI. Now if we want to tell people=20
that parameter beta has a 95% chance of falling within a particular=20
region, shouldn't we tell them the marginal CI?=20
Am I just confused here?=20
Tim=20
=========================================================================
Date: Fri, 26 Aug 2005 15:27:37 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Anthony Rodriguez <[log in to unmask]>
Subject: Likert-types scales
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Dear all,
Are the Likert-type scales equal-interval scales or are they equal-interval appearing scales? In other words, are they just ordinal scales?
The answers will help me decide on a parametric test or a non-parametric test for a doctoral dissertation.
Please support your answers with with either a reference to a Web site or, preferably, a peer-reviewed journal article.
Thank you.
Anthony (Tony) Rodriguez
([log in to unmask])
=========================================================================
Date: Sat, 27 Aug 2005 13:10:05 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Subject: History of split-plot approach to repeated measures analysis
MIME-Version: 1.0
Content-Type: text/plain;charset=iso-8859-15
Content-Transfer-Encoding: 8bit
There is a tradition (of which I do not approve)of analysing repeated
measures as if the data had been obtained from a split-plot experiment
(which they have not). It seems to be very popular in the psychometric
literature and less so with medical statisticians.
Does anybody know who first proposed this approach? I have heard it
associated with the name of Wiener but can this be the Norbert Wiener
(1894-1964) of cybernetics fame? It seems implausible. Does anybody know?
Stephen Senn
Department of Statistics
Glasgow
=========================================================================
Date: Sat, 27 Aug 2005 11:15:24 -0400
Reply-To: andrew Lawson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: andrew Lawson <[log in to unmask]>
Subject: R: 2D histograms
MIME-Version: 1.0
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Does anyone know of R functions to visualise 2D histograms.
I have the results of the /table/ function and want to visualise these
simply. However I cant find any simple
immediate way to diplay 2D histograms. There is probably a simple
answer, but the only
immediate things I have found are mosaic and association plots which are
not really as simple as required.
Can anyone help with this ?
Andrew Lawson
=========================================================================
Date: Mon, 29 Aug 2005 10:47:23 +1000
Reply-To: huggins <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: huggins <[log in to unmask]>
Subject: Senior Lecturer in Statistics at Melbourne University
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
The Department of Mathematics and Statistics at Melbourne University is
advertising for a Senior Lecturer in Statistics.
The position description is available through the Academic Staff
Vacancies at
http://www.hr.unimelb.edu.au/jobs/
--
Professor Richard Huggins
Department of Mathematics and Statistics
University of Melbourne, VIC 3010.
Tel: +61 3 8344 6610
Fax: +61 3 8344 4599
http://www.ms.unimelb.edu.au
=========================================================================
Date: Mon, 29 Aug 2005 16:21:00 +1000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "David R. Lovell" <[log in to unmask]>
Subject: JOB: Consulting statistician - CSIRO Mathematical and Information
Sciences - Canberra
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear All,
(Apologies for cross posting.)
=20
We are looking for a talented person to provide statistical assistance
to researchers in CSIRO Plant Industry (CPI). This consulting position
is a joint appointment between CPI and CSIRO Mathematical and
Information Sciences (CMIS) to enhance the quality and relevance of
science in both Divisions.
=20
To find out more about this opportunity, please see
http://recruitment.csiro.au/asp/job_details.asp?RefNo=3D2005%2F897
Applications close 16 September 2005.
=20
Cheers,
David
=20
Dr David R Lovell <mailto:[log in to unmask]>=20
Leader, Bioinformatics for Agribusiness
CSIRO Mathematical and Information Sciences
GPO Box 664, ACT 2601
02 6216 7042 (w) 02 6216 7111 (f) 0419 167 136 (m)
=20
=20
=========================================================================
Date: Mon, 29 Aug 2005 08:26:58 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Subject: History of split-plot approach to repeated measures analysis
MIME-Version: 1.0
Content-Type: text/plain;charset=iso-8859-15
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My original query was:
"There is a tradition (of which I do not approve)of analysing repeated
measures as if the data had been obtained from a split-plot experiment
(which they have not). It seems to be very popular in the psychometric
literature and less so with medical statisticians.
Does anybody know who first proposed this approach? I have heard it
associated with the name of Wiener but can this be the Norbert Wiener
(1894-1964) of cybernetics fame? It seems implausible. Does anybody know?"
Many thanks to
Andy Grieve, Doug Altman, Brian Francis, Brian Everitt, Raphael Gillett,
John Hinde and Sarah White to pointing out to me that the name was Winer
and not Wiener.
In fact, the book appears to have been
Winer, B. J. (1962). Statistical Principles in Experimental Design.
McGraw-Hill Book Company, New York, NY.
although whether he was the first to propose a split-plot aanlysis of
repeated measures design I do not know.
Stephen Senn
Glasgow
=========================================================================
Date: Mon, 29 Aug 2005 08:59:04 +0100
Reply-To: Amanda Lee <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Amanda Lee <[log in to unmask]>
Subject: Re: Job: Research Fellow,
University of Aberdeen (minor correction)
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Correct e-mail contacts now included................apologies, gremlins in=
=20
the system!
>>Reference number: YZY175R
>>
>>Job Title: Research Fellow in Statistics
>>
>>Subject/Discipline: School of Biological Sciences
>>
>>Length of Post: Three Years
>>
>>Closing Date: 20-Sept-05
>>
>>Salary range: =A323,643 - =A335,883 per annum
>>
>>
>>A statistician is required immediately to support research programmes=20
>>within the School of Biological Sciences, much of whose work was 5-rated=
=20
>>in the last RAE. The post will be physically located in the School with=
=20
>>line management from the College's Medical Statistics team. Duties will=
=20
>>include consultancy advice to biologists, support for grant-funded work=20
>>and some postgraduate teaching.
>>
>>Experience of collaborative applied statistics work with empiricists is=20
>>essential. Applicants will have a sound basis in statistics and=20
>>mathematical modelling, with a postgraduate qualification in statistics=20
>>or a related subject with a high statistical content preferably with=20
>>applications in a biological subject. Expertise is required in either=20
>>bioinformatics or model fitting using Bayesian techniques. Proficiency=20
>>in the R-language would also be an asset. Some teaching experience is=20
>>desirable. You will be flexible and multi-skilled with good=20
>>communication skills and the ability to work both independently and as=20
>>part of a team.
>>
>>Informal enquiries may be made to Professor Xavier Lambin (tel 01224=20
>>273259, email [log in to unmask]) in Biological Sciences or Dr Amanda=20
>>Lee (tel 01224 554535, email [log in to unmask]) in Medical Statistics).
>>
>>Online application forms and further particulars are available from=20
>>www.abdn.ac.uk/jobs. Alternatively email [log in to unmask] or telephone=20
>>(01224) 272727 (24-hour answering service) quoting reference number=20
>>YZY175R for an application pack.
----------------------------------------------------------------------------=
----------
Dr Amanda Lee
Reader
Department of General Practice and Primary Care
Foresterhill Health Centre
Westburn Road
Aberdeen AB25 2AY
Tel: 01224 554535
Fax: 01224 550683
E-mail: [log in to unmask]
=========================================================================
Date: Mon, 29 Aug 2005 14:00:23 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: Online short course - Bias in Epidemiological Studies
Mime-Version: 1.0
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Profs. David Kleinbaim and Nancy Barker will present their online short=20
course =93Bias in Epidemiological Research=94 Sept. 9 =96 Oct. 7 at=20
statistics.com. This course emphasizes the underlying concepts and methods=
=20
for addressing validity and bias issues in epidemiologic research. Topics=20
covered in the course include: overview of validity and bias, selection=20
bias, information bias, and confounding bias. Participants should be=20
familiar with different types of studies (clinical trials, cohort studies,=
=20
case-control studies, and cross-sectional studies), and with measures of=20
disease frequency and effect.
David Kleinbaum, a professor at Emory University=92s Rollins School of=
Public=20
Health, is internationally known for his textbooks in statistical and=20
epidemiologic methods and as an outstanding teacher. He is the author of=20
=93Active Epi=94 and =93Epidemiologic Research- Principles and Quantitative=
=20
Methods=94 and has also taught over 150 short courses over the past 30 years=
=20
throughout the world.
Nancy Barker is a consulting biostatistician and a co-author of the=20
=93ActivEpi Companion Text,=94 and has over 10 years of experience teaching=
=20
short courses in epidemiology and biostatistics at Emory University and the=
=20
Centers for Disease Control and Prevention.
As with all online courses at statistics.com, there are no set hours when=20
you must be online, and you can interact with the instructor over a period=
=20
of 4 weeks via a private discussion board. We estimate you will need about=
=20
10 hours per week.
Full topic outline and registration info:
<http://www.statistics.com/content/courses/datamining/index.html>http://www.=
statistics.com/content/courses/datamining/index.html
Peter Bruce
[log in to unmask]
P.S. This course is followed by =93Analysis of Epidemiological Data=94 on=
Oct. 14.
P.S. Also by David Kleinbaum =96 =93Survival Analysis=94 starts Sept. 30.
=========================================================================
Date: Mon, 29 Aug 2005 20:25:21 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Comments: cc: propensity scores and analysis of <[log in to unmask]>
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I have heard it said that some epidemiological journals no longer accept
traditional covariate based adjustments for confounders, requiring authors
instead to carry out propensity score based stratification. If so this is,
in my opinion, an inappropriate policy based on a misunderstanding.
However, perhaps I am misinformed. Does anybody know of such a policy by
any journal or has anybody been required to amend a paper accordingly or
had it rejected on such grounds?
I would be interetsed to collect any experiences.
Thanks in advance
Stephen Senn
University of Glasgow
=========================================================================
Date: Mon, 29 Aug 2005 20:28:36 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Subject: propensity scores and analysis of <covariance
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My apologies to the list for previous email with subject line missing (I
managed to place the subject header in the CC field!)This is what I wrote:
I have heard it said that some epidemiological journals no longer accept
traditional covariate based adjustments for confounders, requiring authors
instead to carry out propensity score based stratification. If so this is,
in my opinion, an inappropriate policy based on a misunderstanding.
However, perhaps I am misinformed. Does anybody know of such a policy by
any journal or has anybody been required to amend a paper accordingly or
had it rejected on such grounds?
I would be interetsed to collect any experiences.
Thanks in advance
Stephen Senn
University of Glasgow
=========================================================================
Date: Mon, 29 Aug 2005 16:31:00 -0500
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: QUERY: Prevalence
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Dear All,
If one is faced with a longitudinal data set as given below, where the
variable test is the result of a blood test for protein (pos=3Dprotein;
neg=3Dno protein). Can one calculate the prevalence of protein in the
blood? Is it sensible?
id test
1 pos
1 pos
1 pos
1 neg
2 pos
2 neg
2 neg
2 pos
2 neg
Regards,
Raphael
=========================================================================
Date: Tue, 30 Aug 2005 00:44:49 +0100
Reply-To: Adaikalavan Ramasamy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Adaikalavan Ramasamy <[log in to unmask]>
Organization: Cancer Research UK
Subject: Re: R: 2D histograms
Comments: To: andrew Lawson <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
Content-Type: text/plain
Mime-Version: 1.0
Content-Transfer-Encoding: 7bit
Err, do you mean a histogram in the 3 (x, y, count) dimension ?
I am not much in favour of 3 dimensional plot (or stacked histograms) as
different elevations, angles or the order of plotting can influence
interpretation. I prefer to map it back two dimensions using contour
plots or image plots. You might want to have a look at the image.count
function in the fields package. Here is one possible example :
## simulate some data
x <- rpois( 10000, lambda=5 )
y <- rpois( 10000, lambda=10 )
m <- cbind(x, y)
## option 2
library(gplots)
hist2d( m )
## option 1
ic <- image.count( m, nrow=diff(range(x)), ncol=diff(range(y)) )
image.plot( ic )
If you really want a 3 dimensional plot, then try searching for the
function called hist3d, which was previously in the package called RGL
(see http://tinyurl.com/exu77) but it has been moved elsewhere.
Regards, Adai
On Sat, 2005-08-27 at 11:15 -0400, andrew Lawson wrote:
> Does anyone know of R functions to visualise 2D histograms.
> I have the results of the /table/ function and want to visualise these
> simply. However I cant find any simple
> immediate way to diplay 2D histograms. There is probably a simple
> answer, but the only
> immediate things I have found are mosaic and association plots which are
> not really as simple as required.
>
> Can anyone help with this ?
> Andrew Lawson
>
=========================================================================
Date: Tue, 30 Aug 2005 01:02:19 +0100
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<[log in to unmask]>
From: Simon Clarke <[log in to unmask]>
Subject: Simon Clarke/BOOTLE/HSE is out of the office.
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I will be out of the office starting 29/08/2005 and will not return until
05/09/2005.
I will respond to your message when I return. If the matter is urgent
please contact Lesley Clark 0151 9514473 (external) VPN 523 4473
(internal) or email [log in to unmask] .
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Date: Mon, 29 Aug 2005 21:19:54 -0400
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Re: QUERY: Prevalence
Comments: To: [log in to unmask]
In-Reply-To: <[log in to unmask]>
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That was just a snippet of my data. I have 632 persons and 6308 observation=
s.
On 8/29/05, P Rudd <[log in to unmask]> wrote:
> Data set is a bit small to do a test!
>=20
> ----- Original Message -----
> From: "Raphael Fraser" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Monday, August 29, 2005 10:31 PM
> Subject: QUERY: Prevalence
>=20
>=20
> Dear All,
>=20
> If one is faced with a longitudinal data set as given below, where the
> variable test is the result of a blood test for protein (pos=3Dprotein;
> neg=3Dno protein). Can one calculate the prevalence of protein in the
> blood? Is it sensible?
>=20
> id test
> 1 pos
> 1 pos
> 1 pos
> 1 neg
> 2 pos
> 2 neg
> 2 neg
> 2 pos
> 2 neg
>=20
> Regards,
> Raphael
>=20
--=20
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D
Raphael A. Fraser, MSc
Assistant Lecturer in Biostatistics
Sickle Cell Unit
Tropical Medicine Research Institute
Faculty of Medical Sciences
University of the West Indies
Kingston
Jamaica
Tel: (876) 927-2471; 410-4699
Fax: (876) 927-2984
e-mail: [log in to unmask]
=========================================================================
Date: Tue, 30 Aug 2005 08:58:54 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: L Fisher <[log in to unmask]>
Subject: GlaxoSmithKline Permanent Vacancies - Reference Number 27149,
( Senior) Statisticians
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Please find following details of new, permanent statistical vacancies at=20
GSK based at the Ware and Stevenage R&D sites (with flexiblility to=20
Tonbridge), Southeast England.
If you are interested in applying for this role, please follow the=20
directions below. Please do not respond directly to this email; and=20
please, no agency referrals.
Minimum Requirements:=20
Previous experience within the pharmaceutical industry is not essential,=20
however you will have a post-graduate qualification in statistics, or some =
relevant experience in addition to a first degree with a large statistical =
component.
Details:=20
Unique opportunities to enter the Pharmaceutical Industry=20
GlaxoSmithKline is one of the world's leading pharmaceutical and=20
healthcare companies and the vision within our Statistical Sciences=20
department is to see statistical thinking as an integral part of the=20
decision making and knowledge gathering process within Research &=20
Development. To achieve this we are expanding our department and are=20
looking for enthusiastic applied statisticians to use and develop=20
statistical methods and promote their use throughout the non-clinical drug =
discovery and development process.=20
In partnership with scientists working at the cutting edge of technology=20
you will provide statistical insight which creates greater understanding=20
and improved data-driven decision making. As part of a team of=20
statisticians, you will rapidly develop your statistical knowledge and=20
expertise over a wide variety of methodologies, including linear and non=20
linear modelling, design and analysis of experiments and multivariate=20
methods as they relate to the non-clinical drug discovery and development=20
process. For experienced applicants there will be opportunities for you to =
take lead statistical roles within multidisciplinary groups as new=20
initiatives are developed for example in biotechnology and process=20
analytical technologies. You will need to enthusiastically and=20
knowledgeably promote your methods, maximising their benefit to our=20
business.=20
Previous experience within the pharmaceutical industry is not essential,=20
however you will have a post-graduate qualification in statistics, or some =
relevant experience in addition to a first degree with a large statistical =
component. (To be considered for the more senior roles, you will=20
preferably have a minimum of 5 years relevant work experience.) You?ll=20
ideally have some experience of programming in a major statistical package =
such as SAS or S-plus. Outstanding communication skills and the drive to=20
interact successfully with colleagues at all levels and influence=20
effective statistical practice will be a crucial element to this key role. =
The role will offer you the opportunity to make a difference in the=20
discovery and development of new medicines.=20
Closing date for applications: 16th September 2005=20
You may apply for this position online ONLY via the following link:
http://careers.peopleclick.com/client=5Fgsk/BU1/External=5FPages=5FUK/newca=
ndidate.asp?Source=3DALL&JobID=3D76336
Thank you for taking the time and effort to apply for this role. Please=20
note that we will only contact you again if you are invited to interview.=20
All data processed in accordance with the provisions of the Data=20
Protection Act.=20
GSK is proud to promote an open culture, encouraging people to be=20
themselves and giving their ideas a chance to flourish. GSK is an equal=20
opportunity employer. To enable GSK to meet it's commitment as a two ticks =
employer please let us know if you have a disability.
=========================================================================
Date: Tue, 30 Aug 2005 10:03:19 +0100
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Cox regression: time dependent covariates: SPSS plots
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Hello everyone,
I would like to ask a few questions about Cox regression and how to
assess its assumptions on SPSS. Perhaps someone who has carried out Cox
regression can help.
Firstly some background....
1) Background about the Proportional Hazard Assumption
The cumulative hazard function is=20
h(t) =3D h_o(t) * e^(beta_1 x1 + b_2 x2 +.....)
the baseline hazard is h_o(t).
Cumulative Survival function is S(t)=3Dexp(- h(t))
The model is called the "proportional hazards model" because for two
patients, the ratio of their hazards will be constant for all time
points.=20
For example if you had patients with the same age with presence of
characteristic A but different stages of disease, the ratio of the
estimated hazard rates across all time points is constant at e^beta
where the regression coefficient is for the case with stage coded as 1.
According to Paramar and Machin ("Survival Analysis") we could plot the
log(-log) value of the survival function against (log of) time for the
distinct covariate patterns we are dealing with to assess if the
proportional hazard assumption holds. =20
So, if we focus on 'stage', we could check the proportional hazard
function was true for this variable in SPSS by using the "plots" option
in SPSS to plot separate log(-log) survival curves/"lines" for pattern
1) where stage=3D0 and pattern 2) where stage=3D1. We could do similar
plots to check the proportional hazard assumption for presence and
absence of 'characteristic A'. Parallel lines indicate proportional
hazards (Paramar and Machin, p140). Note that the same baseline
function is used to generate the different lines.
2) Background about stratification
We can also establish if the model should be stratified in SPSS by
splitting the data into strata to generate several separate hazard
baseline functions, one for each stratum.
One set of coefficients is generated regardless of stratum. The value
of the hazard functions in both strata are calculated using the same
set of variables e.g. if the data was stratified by 'sex', the hazard
function for those with characteristic A and characteristic B would be
generated for both males and females over all time points.
Again, we examine SPSS's 'log minus log' against t plot to see if the
ratio of the hazard functions for the two patient groups is constant
over time. Parallel lines signify that this is true. If this is the
case, then the variable used to form the strata ('sex' in our example)
can be used in the model and a common baseline hazard function can be
estimated for all of the groups.
Questions:
I find the SPSS manual a little confusing as regards how to establish
if a specific effect is constant over time (i.e whether a time dependent
covariate is in existence). The example in the manual I am reading
finds that the data should be stratified by treatment (where treatment
takes the values 0 or 1). It then tries a model=20
H(t) =3D h_o(t) e^ (B_1 *treat + B_2 *treat*t_cov)
The manual says that "whenever you want to test that hazards are
proportional for different strata, you incorporate the
time-by-stratification-variable interaction. If the coefficient for
this term is significant then the hazards are not proportional." Could
anyone explain what this means please?
Also, I'd like to know if we can assess if a time dependent covariate
should be added by looking at plots? If so, which plots? I would say
that the plots described above (in 1) to assess the proportional hazards
assumption would be the ones to look at as these make use of the index,
beta_x. Non parallel lines would indicate that a predictor depends on
time. Do you agree?
Finally some books state that the log(-log) plots should be against t;
some say against log of t. SPSS plots against t...does anyone know the
reason for the descrepency?
Many thanks again,
All the Best,
Kim.
=========================================================================
Date: Tue, 30 Aug 2005 09:58:36 +0100
Reply-To: Jon Deeks <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jon Deeks <[log in to unmask]>
Subject: CONFERENCE: 20th September,
Oxford "Medical Statistics: Making A Difference in Health Care"
Comments: To: [log in to unmask]
Mime-Version: 1.0
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The Centre for Statistics in Medicine in Oxford is holding a one day=20
meeting in celebration of its 10th Birthday:
"MEDICAL STATISTICS: MAKING A DIFFERENCE IN HEALTH CARE"
on Tuesday 20th September 2005
9.30am-5pm at Magdalen College, Oxford
SPEAKERS:
Doug Altman - Professor of Statistics in Medicine and Director of CSM
How much confidence can we have in published medical research?
Martin Bland - Professor of Health Statistics, York
Measuring agreement between measurements
Marion Campbell - Professor of Health Services Research, Aberdeen
Data monitoring of randomised controlled trials: medical statistics in=
action
Paul Glasziou - Professor of Evidence-Based Medicine, Oxford
Clinical trials to clinical decision-making
Fiona Godlee - Editor of BMJ
What can statisticians do for medical journals?
Peter G=F8tzsche - Director of the Nordic Cochrane Centre, Copenhagen
Medical statistics in practice: Dr Jekyll and Mr Hyde
Julian Higgins - Statistician, MRC Biostatistics Unit
Embracing complexity in evidence synthesis
David Schriger - Professor of Emergency Medicine, Los Angeles
Problems in the analysis and reporting of clinical research: are graphics=20
the solution?
Full details of talks and speakers is available on our website at
http://www.csm-oxford.org.uk/anniversary
REGISTRATION:
Places are still available
Registration for the meeting is =A325 (includes lunch)
Registration forms are also available on our website:
http://www.csm-oxford.org.uk/mod_product/uploads/registration%20form1.pdf
Or contact: Tracy Edwards 44-(0)1865 284402; [log in to unmask]
________________________________________________________________
[log in to unmask]
Jon Deeks
Senior Medical Statistician
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road, Oxford OX2 6UD
UK
Phone +44-(0)-1865-284403
Fax +44-(0)-1865-284424
________________________________________________________________
=========================================================================
Date: Tue, 30 Aug 2005 10:35:25 +0100
Reply-To: Michael Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Sweeting <[log in to unmask]>
Subject: JOB: Career Development Fellow, MRC Biostatistics Unit, Cambridge
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Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: quoted-printable
MRC Biostatistics Unit, Cambridge
http://www.mrc-bsu.cam.ac.uk
Career Development Fellow
The MRC Biostatistics Unit aims to advance medical science by the=20
development of statistical methodology. It is one of Europe=92s leading=20
biostatistics research institutions and comprises a number of=20
internationally renowned statisticians.
This is a 3 year training and development position for a post-doctoral=20
scientist who has either just completed their doctoral studies, or is=20
moving into a new research area. It provides opportunities to develop=20
research project skills as well as collaborative links with colleagues=20
within Cambridge University and elsewhere.
The focus of this post is on statistical methods for meta-analysis,=20
evidence synthesis and technology appraisal with particular reference in=20
clinical trials and human genome epidemiology. Part of the work will be=20
in collaboration with the epidemiology team at the Public Health=20
Genetics Unit (part of Cambridge Genetics Knowledge Park)
The starting salary will be in the range of =A324,700 to =A326,000 per an=
num=20
(depending on qualifications and experience), supported by a flexible=20
pay and reward policy, 30 days annual holiday entitlement and an=20
optional final salary MRC pension scheme. Excellent sports and social=20
facilities are also available on site.
Further details of the post are available from Peter Ilian,
Unit Administrator (tel: 01223 330397, email:=20
[log in to unmask]). Potential candidates wishing to discuss=20
the position may do so by contacting the Julian Higgins (01223 330396=20
[log in to unmask]) at the Biostatistics Unit in the first=20
instance.
Applications should include a covering letter and a full CV with the=20
contact details of two academic or professional referees who can be=20
approached prior to interview.
Quoting job reference BSU/805/19 e-mail your application to:=20
[log in to unmask] or post to: Recruitment Office, Personnel=20
Department, MRC Centre, Hills Road, Cambridge, CB2 2QH.
Closing date: 16 September 2005
=========================================================================
Date: Tue, 30 Aug 2005 11:58:59 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Senior SAS Analyst Required by London Bank
Hello All,
Our client is a well known financial services brand with a long UK
history, catering for both commercial and personal financial needs.
Working as part of a central analytics team you will be focused on
providing management with the statistical analysis that will aid their
innovative approach to marketing. Work will involve building and testing
creative predictive models and making subsequent improvements.
You will have upwards of 2 years analytical experience following a
Bachelors or Masters in a quantitative subject such as Maths, Statistics
or Economics at class 2:1 or above. Knowledge of SAS down to macro level
together with SQL is also expected, as is advanced Excel using VBA.
Strong communication skills are required as you will be liaising with
business heads so they can use your analysis to obtain high value custom.
Take your career to the next level call today quoting the reference
number.
Location: London
Salary: Negotiable up to c.35K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8971/DJ in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Tue, 30 Aug 2005 12:02:33 +0100
Reply-To: Alison Stacey <[log in to unmask]>
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<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Category Consultant to champion statistical product and see
the world
Hi All,
Part of a successful and significant player in the advertising, media and
marketing business our client is looking for a Statistical Marketing
Analyst / Consultant with retail or FMCG category analysis experience to
help create, develop and implement a statistical method that will help
their clients undertake competitor and category analysis.
To be successful you should be able to demonstrate your client facing and
client management skills together with superior analytical ability. A
bachelors or postgraduate degree in Economics, Econometrics, Operational
Research or Statistics is assumed as is knowledge and exposure to
statistical packages such as SAS, SPSS, EViews, and Ox etc.
Foreign travel will be a part of this role as you will be involved in the
implementation of global strategy. Sounds like a great opportunity, right?
Call today to find out more about moving your career in a consultancy
direction. Ref:8970/DJ
Location: London
Salary: Negotiable up to c.50-70K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8970/DJ in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Tue, 30 Aug 2005 12:22:55 +0100
Reply-To: "Kirk, Madeline C" <[log in to unmask]>
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<[log in to unmask]>
From: "Kirk, Madeline C" <[log in to unmask]>
Subject: Meeting: Institute for Mathematical Sciences- Data Fusion in
Genomics - One day meeting
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Data Fusion in Genomics - One day meeting
Institute for Mathematical Sciences
7th September 2005
Clore Lecture Theatre, Huxley Building
Imperial College London, South Kensington Campus
Data Fusion in Genomics - One day meeting
Institute for Mathematical Sciences
10-10.30 Registration (Clore Lecture Theatre)=20
Tea & Coffee (Senior Common Room, Sherfield Building)
10.30 Opening remarks =09
Professor S Richardson, Imperial College
=09
10.35 Sparse Statistical Modelling and Pattern Profiling
in Gene Expression Genomics=20
Professor Mike West, Duke University
11.35 Integrative genomics and pattern recognition for biomarker =
discovery
Dr Chris Holmes, Oxford University
12.35 -14.00 Break for Lunch
14.00 Bayesian functional mixed models for proteomics
Professor Phillip Brown, University of Kent
15.00 Bayesian methods for variable selection
Professor Marina Vannucci, Texas A&M University
16.00-16.15 Tea & Coffee Break
16.15 Optimal sample size for multiple testing: the case of gene =
expression microarrays=09
Professor Peter Mueller, M. D. Anderson Cancer Center, University =
of Texas=09
17.30-19.00 Posters and drink reception in the Physics Common Room, =
Level 8, Blackett Laboratory.
=B8.=B7=B4=AF`=B7.=B8..><((((=BA> =
=B7=B4=AF`=B7.=B8=B8.=B7=B4=AF`=B7.=B8..><((((=BA> =
=B7=B4=AF`=B7.=B8=B8.=B7=B4=AF`=B7.=B8..><((((=BA> =B4=AF`=B7.=B8=20
=A0
Madeline Kirk
Dept. of Epidemiology and Public Health
Faculty of Medicine
Imperial College London
Norfolk Place=20
London
W2 1PG
=A0
Tel: +44 (0)20 7594 3319
Fax: +44 (0) 20 7402 2150
=A0
=========================================================================
Date: Tue, 30 Aug 2005 08:29:40 -0600
Reply-To: Rodrigo Briceno <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rodrigo Briceno <[log in to unmask]>
Subject: doubt about exercise
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Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear co-listers. I was solving some exercises on probability topics, but
suddenly a doubt came to me when I tried to solve a problem.
=20
The problem says that: Suppose that the probability of being sick of flu
during an epidemic is 0.6. The past experience has showed that certain =
serum
is effective in 80% of the times to avoid a person being sick of flu, if =
the
person is exposed to it. Two people, one inoculated and the other =
don=92t are
employees of a company. Suppose that they aren=92t in the same place, =
they are
not in contact with the same people and they can=92t be infected between =
each
other. What is the probability that at least one of them is affected by =
the
flu?
=20
=20
I make the following reasoning:=20
=20
Non-inoculated sick, inoculated non-sick: 0.6 X 0.8 =3D 0.48
Non-Inoculated non-sick, inoculated sick: 0.4 X 0.2 =3D 0.08
Both Sick: 0.6 X 0.2 =3D 0.12
=20
Answer: 0.68. I don=92t know if the procedure and reasoning are wrong, =
but the
textbook says that the answer (without explaing how they get it) is =
0.5952.
Can somebody provide me advice to this respect?
=20
Thanks for your kindly cooperation.
=20
=20
_________________________________
Rodrigo Brice=F1o
Consultor
Sanigest International
San Jos=E9, Costa Rica
Telf. (506) 291-1200, ext.118
Fax. (506) 232-0830
Cell (506) 357-4535
www.sanigest.com
Apdo. 23-2015 Zapote Costa Rica
__________________________________
=20
=========================================================================
Date: Tue, 30 Aug 2005 09:47:43 -0500
Reply-To: "Suzanne M. Leal" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Suzanne M. Leal" <[log in to unmask]>
Subject: Advanced Gene Mapping Course-Munich November 7-11, 2005
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Advanced Gene Mapping Course (Previously called: Advanced Linkage Course)
GSF National Research Center - Munich
Institute of Human Genetics
Monday through Friday November 7-11, 2005
An advanced gene mapping course will be held at the GSF in Munich from
Monday through Friday, November 7-11, 2005. Please note: this course
was previously called the advanced linkage course and was held in Zurich,
the name has been changed to reflect the expanded scope of the course in
the past few years.
The cost of the 5 day course is 850 EUR for researchers from an academic
institution, and 1,650 EUR for individuals from private (for profit)
companies. This fee covers tuition, course related expenses (handouts,
etc.) and the social evening but not room and board .
The maximum number of participants is 20. Emphasis in this course is on
the analysis of complex disease traits. It will include theory as well as
practical exercises. The exercises will be carried out using a variety of
computer programs (ALLEGRO, GENEHUNTER, MERLIN, SNPHAP, PBAT, FBAT, R,
etc). TOPICS include: sibpair analysis (quantitative and qualitative
traits); non-parametric methods for analyzing extended family pedigree
data; haplotype construction; association studies (case-control and family
based); and sample size estimations. The organizers of this course are
Suzanne Leal and Tim Strom (GSF). The instructors for the course are:
Goncalo Abecasis (University of Michigan), David Clayton (Cambridge
University), Heather Cordell (Cambridge University), Christoph Lange
(Harvard University), Suzanne Leal (Baylor College of Medicine) and
Bertram Mueller-Myhsok (Max-Planck-Institute of Psychiatry) .
Application deadline is September 26, 2005
For additional information, schedule and application form please visit the
course website at:
http://linkage.rockefeller.edu/suzanne/munich_gene_mapping_05.html
=========================================================================
Date: Tue, 30 Aug 2005 15:44:45 +0100
Reply-To: Carol Yarrow <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carol Yarrow <[log in to unmask]>
Subject: Query: Validity of Fisher's Exact Test when analysing a whole
population (gene expression)
Dear Allstaters,
I would be very grateful for any help and advice with the following
problem..
Can anyone help me resolve whether or not using Fisher's exact test to test
for an association is appropriate in a situation when data is available for
the whole population? Specialist gene expression software (GeneData
Expressionist and some others) have included this test to test the null
hypothesis of no assocication between differentially expressed genes and a
particular GO category (e.g. genetic pathway) and we are unsure about the
validity of this test.
The problem is as follows:
Suppose that we randomly assign plants to one of two groups; one of which
is treated with a chemical and the other of which is left untreated. x
hours after treatment, RNA is extracted from each plant and tested on an
Affymetrix GeneChip (microarray). This results in gene expression
measurements for about 10,000 genes for each plant. An analysis to
identify those genes which show evidence of differential expression is
conducted (with appropriate adjustment for multiple comparisons) and a list
of 100 'differentially expressed' genes is identified.
The question that is then posed is e.g. 'Is there any evidence that Pathway
A is implicated in response to the chemical?' (Note that this question may
be posed for a particular pathway of interest or for many pathways). The
genes are then used to construct a 2 way table: Differentially Expressed /
Not Differentially Expressed versus In Pathway A / Not in Pathway A (note
that neither of these classifications is without error). A Fisher's Exact
Test is then carried out and if the p-value is significant, the conclusion
is that Pathway A is over- (or under-) represented in the group of DE genes
and that this over-representation cannot be explained by 'pure chance'.
Our problem with the use of this test is that we are familiar with its use
in inferential statistics, where we would test a sample and apply
inferences to a population (about whether there is a true association
between A and B). However in this case, the 'sample' actually represents
the entire population of genes on the microarray (i.e. 10,000) - and we
know how each of these is classified with regard to both DE and Pathway A
(athough as I have said above, there will be error associated with both
classifications). For example, our 2x2 table may show that 10 out of the
100 DE genes are classified as being part of Pathway A - and that there are
20 genes in Pathway A in total. We can see from these numbers that Pathway
A is over-represented in the DE genes (10/100 v 10/9900). What is the
Fisher's Exact test testing in these circumstances and is it valid? If we
find that the test is significant what would we conclude?
I would be very grateful for any help/comments/references here as I
currently seem to be going round in circles!
Many thanks,
Carol Yarrow
=========================================================================
Date: Tue, 30 Aug 2005 17:41:58 +0100
Reply-To: shirley coleman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: shirley coleman <[log in to unmask]>
Subject: FW: ENBIS conference 14-16 September in Newcastle
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************************************************************************
****************************
There is still time to register for the whole ENBIS conference or for
any of the stand-alone workshops, eg
Statistics for Innovation and the Design Process Wednesday morning 14th
September 2005 Organised by Tony Fouweather and Shirley Coleman In
association with IPROMS Network of Excellence
The use of statistical methods can aid all stages of the manufacturing
chain Statistical thinking streamlines production and improves
competitiveness in both domestic and international markets.
The workshop will feature 3 presentations from I*PROMS partners dealing
with statistical issues that arise with innovation and the design
process.
University of Oxford will present one of the projects currently
underway in the Department involving statistics to measure structure and
dynamics of networks, with supply networks as just one example. The
presentation will also look at voting networks and biological networks,
with interesting examples from each of these domains.
University of Newcastle upon Tyne's ISRU have been solving problems
across a wide range of industrial and business sectors over the last
twenty years. Three case studies will be presented, describing recent
collaborations within the University of Newcastle upon Tyne, other
academic institutions throughout Europe and an international company
that manufactures compressed air breathing equipment.
Clausthal University of Technology, Germany has expertise in areas
including design methodologies and knowledge management. Applications of
statistics in these areas are not very common and ideas for realising
the potential can be encouraged by exposure to the I*PROMS community. We
will present a case study of a production process and consider how
statistics could provide a solution or improvement.
Cost 100 euros. Register at the Enbis website, www.enbis.org.
Any queries to [log in to unmask]
Dr Shirley Y Coleman,
Technical Director of ISRU,
President of ENBIS, www.enbis.org,
the European Network of Business and Industrial Statisticians,
Chair of RSS Quality Improvement Section and RSS Council Member
=========================================================================
Date: Tue, 30 Aug 2005 17:05:21 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: Online Course: Introduction to Data Mining
Mime-Version: 1.0
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Dr. Anthony Babinec will present his online data mining course Sept. 9 =96=
=20
Oct. 7. This course covers two core paradigms of data mining:=20
classification and prediction. Five techniques will be used: k-nearest=20
neighbors, classification and regression trees (CART), neural nets,=20
logistic regression and multiple linear regression.
The course will also cover the use of partitioning to divide the data into=
=20
training data (data used to build a model), validation data (data used to=20
assess the performance of different models, or, in some cases, to fine tune=
=20
the model) and test data (data used to predict the performance of the final=
=20
model).
Dr. Babinec is the president of AB Analytics and served previously as=20
Director of Advanced Products Marketing at SPSS; he worked on the marketing=
=20
of Clementine and introduced CHAID, neural nets and other advanced=20
technologies to SPSS.
As with all online courses at statistics.com, there are no set hours when=20
you must be online, and you can interact with the instructor over a period=
=20
of 4 weeks via a private discussion board. We estimate you will need about=
=20
10 hours per week.
Registration: $399 ($299 academic)
<http://www.statistics.com/content/courses/datamining/index.html>http://www.=
statistics.com/content/courses/datamining/index.html
Peter Bruce
[log in to unmask]
=========================================================================
Date: Tue, 30 Aug 2005 18:28:16 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rossi Hassad <[log in to unmask]>
Subject: REMINDER - Teaching Statistics in the Health and Behavioral
Sciences
Comments: To: [log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Dear Colleagues:
This is a gentle reminder to assist me with this survey if you have not already done so.
This project is aimed at developing an instrument to measure instructors? attitudes toward the teaching of introductory statistics in the health and behavioral sciences, and the instrument is available at: www.courtpoint.com/survey.
In addition to contributing to the development of the teaching of introductory statistics, your participation will give you a chance to win one of three $100 (one hundred dollar) cash awards which may be used toward professional development.
A big thank you to all those who participated during the summer, and I would appreciate if you encourage your colleagues to do so. My regrets if you have received multiple notices about this survey, and as usual, I am counting on your support.
Sincerely,
Rossi A. Hassad, MPH, PhD
Assistant Professor, Division of Behavioral Sciences,
Mercy College, New York
=========================================================================
Date: Wed, 31 Aug 2005 09:23:06 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: JOB: Strategic Analyst, Network Rail, London
Mime-Version: 1.0
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Senior Strategic Analyst - =A360,000 to =A375,000 + Benefits
>Strategic Analyst - =A335,000 to =A350,000 + Benefits
>Strategic Analyst (Statistician) - =A335,000 to =A350,000 + Benefits
>Analyst - =A325,000 to =A335,000 + Benefits
>
>London
>
>Network Rail is committed to improving the performance and=20
>cost-effectiveness of Britain=92s rail infrastructure =96 and our Strategic=
=20
>Analysis Unit is central to achieving this goal. By providing high-level,=
=20
>high-value analysis, the unit brings fresh insight to business=20
>performance, ensures proposals for improvements are based on sound=20
>judgment and makes recommendations that are crucial to the future of the=20
>rail industry.
>
>This is a chance to join a growing team of outstanding intellectual=20
>calibre. You will work with senior corporate management on projects that=
=20
>span the business =96 from evaluating and forecasting business performance=
=20
>to appraising new technology or assessing manpower requirements. Within=20
>this wide and highly visible remit, you will be investigating critical=20
>business problems, gathering information and ideas from relevant managers,=
=20
>applying your knowledge of quantitative techniques and recommending=
solutions.
>
>We are looking for people with a good numerate university degree who can=20
>articulate complex findings clearly and concisely and who can work=20
>effectively as part of a team.
>
>The Analyst role is ideal for a graduate with a flair for mathematics and=
=20
>problem solving, good knowledge of standard statistical concepts and=20
>techniques and the drive and determination to hit the ground running.
>
>Both Strategic Analysts will need a minimum of two years=92 experience in=
=20
>applying quantitative analysis to business problems in a blue chip=20
>organisation or management consultancy with the ability to lead on=20
>projects. The Strategic Analyst will have managed and delivered business=
=20
>change projects while the Strategic Analyst (Statistician) will have a=20
>detailed knowledge of statistical techniques and PC-based statistical=
packages.
>
>As well as the above skills and experiences, the Senior Strategic Analyst=
=20
>will require extensive experience of interpreting a brief from senior=20
>management, defining and planning business improvement projects and then=20
>leading teams to deliver results.
>
>To find out more and to apply, please visit our website=20
><http://www.networkrail.co.uk/careers>www.networkrail.co.uk/careers and=20
>search under job type =93Strategic Analysis=94.
>
>
>
>
>***************************************************************************=
*********************=20
>
>
>The content of this email (and any attachment) is confidential. It may=20
>also be legally privileged or otherwise protected from disclosure.
>
>This email should not be used by anyone who is not an original intended=20
>recipient, nor may it be copied or disclosed to anyone who is not an=20
>original intended recipient. If you have received this email by mistake=20
>please notify us by emailing the sender, and then delete the email and any=
=20
>copies from your system.
>
>Liability cannot be accepted for statements made which are clearly the=20
>senders own and not made on behalf of Network Rail.
>
=========================================================================
Date: Wed, 31 Aug 2005 11:52:43 +0200
Reply-To: "Menezes, R.X. (HKG)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Menezes, R.X. (HKG)" <[log in to unmask]>
Subject: JOB: Postdoc, SNP analysis, The Netherlands - Re-advertisement
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Please note: the deadline for applications for this position has been =
extended.
=20
_________________________________________________________________________=
=20
Function title : Scientific researcher in applied statistics for SNP =
data analysis
Work location : Center for Human and Clinical Genetics, Leiden
Company : Leiden University Medical Center
_________________________________________________________________________=
FTE: The position is full time for a period of two years.
=20
Available per: 1/11/2005
=20
Company profile:=20
The Center for Human and Clinical Genetics at the Leiden University =
Medical Center (LUMC) participates in several excellent institutes =
including the Centre for Medical Systems Biology (CMSB). By combining =
our vast knowledge on a number of disease areas with the latest research =
technologies including genomics and bioinformatics, researchers aim to =
elucidate the causes of various common diseases. Being part of an active =
group with large experience in genomic and transcriptomic research, the =
successful applicant will be in contact with other cutting-edge projects =
in those areas.=20
=20
Function Description:=20
The Center for Human and Clinical Genetics has implemented technologies =
for the high-throughput measuring of single nucleotide polymorphisms =
(SNPs) to study genomic sequence variation between individuals. These =
studies could help elucidate the molecular backgrounds of genetically =
complex diseases and complex relationships in families for genetic =
counselling. SNP arrays offer a high-resolution coverage of the genome =
that we would like to exploit further to study copy number variation in =
combination with sequence variation. We are looking for an enthusiastic =
scientific researcher who will develop new statistical tools for the =
quantitative analysis of SNP data and apply them to SNP typing studies =
carried out within the CMSB. One of the objectives of this project is =
the development of a biolgist-friendly software tool to analyze and =
integrate SNP data.
=20
Requirements:=20
The successful candidate has a recent PhD degree in statistics or =
bioinformatics and shown interest in multidisciplinary research. He/she =
has relevant working experience in a scientific research setting, a =
proven keen interest to apply statistical methods in genomics research =
and is able to pick up new clinical and biological concepts quickly. =
Advanced command of statistical packages (e.g. R, SAS, S-Plus) and =
scripting skills are essential, and experience in SNP data analysis is =
an advantage. The candidate should be proficient in English (speaking =
and writing), a good communicator, and a strong team player.
=20
Contact information:=20
For informal queries please contact Dr. Judith Boer, Center for Human =
and Clinical Genetics, LUMC, by phone (071-527 6611) or email =
([log in to unmask]). CV and cover letter describing your interests and =
goals including the addresses of 2-3 references should be stated in =
English and sent before September 18 to:
=20
LUMC Divisie 5, Dienst Personeel & Organisatie
Postbus 9503, 2300 RA Leiden
=20
Or sent per e- mail to:
Div5P&[log in to unmask]
=========================================================================
Date: Wed, 31 Aug 2005 12:00:26 +0200
Reply-To: Dieter Vanderelst <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dieter Vanderelst <[log in to unmask]>
Subject: INDSCAL
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Dear All,
The spatial solution provided by the indscal model can not be rotated
arbitrary. I have some general (vague) idea about why this is the case.
But I was wondering whether somebody could explain me more exactly why
the solution can't be rotated. Any resources would be very welcome.
Thank you,
Dieter
=========================================================================
Date: Wed, 31 Aug 2005 11:42:59 +0100
Reply-To: Randy Banks <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Randy Banks <[log in to unmask]>
Subject: CONFERENCE - ASC - Maximising Data Value - UK- Sept 15-16 - Final
Reminder
Comments: To: ASC Announcements <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
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**************************************************************
*** an announcement from The Association for Survey Computing.
*** Apologies for any cross-postings
**************************************************************
All -
Just a brief reminder that ASC's next survey methods conference:
MAXIMISING DATA VALUE. DATA USE & RE-USE
takes place on Sept 15 and 16 at Newlands Park, Bucks.
The conference has been jointly organised with
* The Market Research Society
* The Office for National Statistics
* The Royal Statistical Society
with invited and contributed papers addressing four, related themes:
PROCESS INTEGRATION
Keynote Speaker: KAREN DUNNELL, Director of Surveys and Administrative Sources, ONS.
METHODOLOGY AND SOFTWARE FOR COMPLEX MODELS
Keynote Speaker: NICKY BEST, Imperial College.
MODELS FOR DATA, METADATA AND KNOWLEDGE
Keynote Speaker: ANDREW WESTLAKE, Survey & Statistical Computing.
Session 4. MULTI-MODE AND MULTI-SOURCE SURVEYS
Keynote Speaker: GEORGE TERHANIAN, President, HI Europe.
The full programme is available on our web site, http://www.asc.org.uk, along
with information about the venue, fees and a booking form.
Hope to see you there.
--------------------------------------------------------------------
Please reply to:
Diana Elder, Administrator ([log in to unmask])
ASC, PO Box 60, Chesham, Bucks, UK HP5 3QH
tel/fax: +44 (0)1494 793033
http://www.asc.org.uk
This message has been sent on behalf the ASC by:
Randy Banks ([log in to unmask])
Institute for Social and Economic Research (ISER)
University of Essex, Colchester, UK CO4 3SQ
---------------------------------------------------------------------
=========================================================================
Date: Wed, 31 Aug 2005 12:18:02 +0100
Reply-To: "Mead, Andrew" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Mead, Andrew" <[log in to unmask]>
Subject: MEETING : Proteomics and Metabolomics, November 23rd
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International Biometric Society, British Region
Advance notice of our next major meeting
PROTEOMICS AND METABOLOMICS
Wednesday 23rd November 2005
11am - 5pm
Wellcome Trust Conference Centre, Hinxton, Cambridge
Speakers include: Prof. Ross King (University of Wales, Aberystwyth)
Dr. Maria de Iorio (Imperial College)
Dr. Kevin Brindle (University of Cambridge)
Dr. David Westhead (University of Leeds)
Dr. Nick Monk (University of Sheffield)
There will be a charge for attending this meeting (=A330 for IBS =
members, =A345
for non-members), covering morning coffee, lunch and afternoon tea.
Please note that the meeting will also include the AGM of the IBS =
British
Region.
Further details of the meeting, including a registration form, will =
shortly
be available on the IBS British Region website:
http://www.maths.qmw.ac.uk/~rab/biometrics/british.html
Andrew Mead, M.Sc., CStat
International Biometric Society, British Region Secretary
International Biometric Society, Council Member
International Biometric Society, Co-Chair, Strategic Plan Committee
Warwick HRI
University of Warwick
Wellesbourne
Warwick
CV35 9EF
email: [log in to unmask]
phone: 024 7657 5020
fax: 024 7657 4500
=========================================================================
Date: Wed, 31 Aug 2005 12:58:56 +0100
Reply-To: Kate Walker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kate Walker <[log in to unmask]>
Subject: QUERY: Looking for medical data
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Dear all,
I am developing a model for multiple causes of dropout in longitudinal
medical studies. I am having difficulty finding continuous data where
there is more than one cause of dropout, with this cause recorded for each
subject. I would be most grateful if anyone could let me know of any such
data that is available.
Many thanks,
Kate.
=========================================================================
Date: Wed, 31 Aug 2005 16:33:41 +0100
Reply-To: Jayne Marshall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jayne Marshall <[log in to unmask]>
Subject: Job: Statsistician vacancy - Unipath, Bedford, UK - Permenant
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Content-Transfer-Encoding: quoted-printable
Unipath research, develop and manufacture simple to use diagnostic system=
s,=20
for both consumer home use and professional laboratory use at a purpose=20
built facility in Bedford, employing over 450 people. Our world-leading=20
brands include the Clearblue=AE range of pregnancy and ovulation tests, t=
he=20
Clearplan=AE Easy Fertility Monitor and PERSONA=AE the personal system of=
=20
contraception. The Clearview range of doctors=92 office and hospital=20
diagnostic tests completes our present product range.
Statistician- Competitive salary
Reporting into the Senior Statistician you will be part of a team that pl=
ay=20
a key role in evaluating the success of our new products through the desi=
gn=20
and analysis of both small in-house and large multi-centre clinical trial=
s=20
in Europe and the US. There will also be the opportunity to be involved =
in=20
new product development through statistical work with our forward thinkin=
g=20
Research and Development scientists. The main areas of responsibility wil=
l=20
be:
=95 To review clinical trial protocols and to advise on clinical/consumer=
=20
trial design and statistical aspects of study protocols.
=95 To advise on statistical aspects of product claims and regulatory=20
submissions.
=95 To undertake appropriate statistical analysis and reporting of data f=
rom=20
various sources relating to product support, new product development or=20
regulatory submissions.
=95 To encourage the use of good statistical practice within R&D by advoc=
ating=20
experimental design, appropriate data analysis, interpretation and=20
presentation of results.
=95 To act as statistical consultant to R&D scientists advising on=20
experimental design, statistical analysis and provision of statistical=20
software.
=95 Keeping abreast of applications of statistical techniques and softwar=
e=20
which may be of benefit to Unipath.
Ideal candidates will be educated to degree level or equivalent (min 2:1)=
in=20
statistics or a related discipline, ideally supplemented by an MSc or PhD=
in=20
Statistics, with at least 2 years relevant industrial/medical experience =
in=20
a statistical role. Consideration would be given to graduates who have ha=
d=20
an industrial placement within a medical environment. You will also have=
=20
used SAS for statistical analysis and have the ability to work independen=
tly=20
with proven report writing skills and good oral communication skills.
To apply, please send a full CV, covering letter and salary expectations,=
=20
to=85
HR Department, Unipath, Priory Business Park, Bedford, MK44 3UP.
Telephone: 01234 835000
Email: [log in to unmask]
www.unipath.co.uk
_________________________________________________________________
It's fast, it's easy and it's free. Get MSN Messenger 7.0 today!=20
http://messenger.msn.co.uk
=========================================================================
Date: Wed, 31 Aug 2005 20:30:13 +0100
Reply-To: Patricia Tuckwell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patricia Tuckwell <[log in to unmask]>
Subject: Re: NEW STATISTICIAN ROLE
MIME-Version: 1.0
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Dear Allstaters,
Are you stuck in a rut & looking for a new challenge?
Or are you a Junior Statistician looking for your next Career Step?
If your answer is YES to any of these questions, we would like to hear from
you.
Bio Pharma Resourcing has an EXCITING new Opportunity for a Statistician to
work within our Client's Successful Diagnostic Company.
You will be involved in Evaluation, Analysis and Design of Clinical Trials.
The Successful candidate will be educated to MSc level in Statistics/
Medical Statistics/ Biometry or a related discipline, with at least 2 years
experience working within an industrial /medical environment within a
statistical role.
If you are interested send CV to HYPERLINK
"mailto:[log in to unmask]"[log in to unmask] l
Tricia Tuckwell
0845 838 5139
HYPERLINK "http://www.bpresourcing.co.uk"www.bpresourcing.co.uk
--
No virus found in this outgoing message.
Checked by AVG Anti-Virus.
Version: 7.0.344 / Virus Database: 267.10.17/85 - Release Date: 30/08/2005
=========================================================================
Date: Wed, 31 Aug 2005 18:07:02 -0700
Reply-To: Lisa Solomon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lisa Solomon <[log in to unmask]>
Organization: Salford Systems (www.salford-systems.com)
Subject: Data Mining Conference Program Announced
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
DATA MINING 2006 CONFERENCE sponsored by Salford Systems
San Diego, California: March 29 - March 31, 2006
The Conference will offer Real-World Case Study Presentations including
Cutting Edge Topics: Crime Prevention * Anti-Terrorism * Gambling *
Sports * Video Games * Food & Water Science * Diet Research *
Standardized Testing
There will be special courses available for attendees who are new to Data Mining covering
CART(R) Decision Trees
MARS(R) Modern regression analysis
TreeNet(tm) Jerome Friedman's Multiple Additive Trees
Random Forests(tm) Leo Breiman's Tree Ensembles
See how Data Mining is Used for Business, Biomedial, and Environmental applications. Find out why previous attendees rate our conferences the most informative in the industry.
If you would like more information, please click here:
http://www.salforddatamining.com/program-sd.htm
To be placed on the conference mailing list, please click here:
http://www.salforddatamining.com/2006InfoRequest.php
Best regards,
Lisa Solomon
Ph: (619)543-8880
=========================================================================
Date: Thu, 1 Sep 2005 09:48:41 +0100
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: CONTRACT - Opportunities for Statisticians and Statistical P
rogrammers - Switzerland
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
CONTRACT - Biostatistician - Switzerland
Initial 6 months contract for an experienced Biostatistician with a minimum
of 4 years experience to join a major pharmaceutical. Full details on
application. Start date is ASAP but client will wait for notice periods.
Highly competitive daily rates on offer. Forward your CV to
[log in to unmask] for immediate consideration or call Alan on
020 7 258 8400 for full details.
CONTRACT - Statistical Programmer - Switzerland
Initial 6 months contract for an experienced Statistical Programmer to join
a major pharmaceutical. Minimum 4 years Stats programming experienced within
CRO/Pharma, expert SAS knowledge. Full details on application. Start date as
above is ASAP but client will wait for notice periods. Competitive daily
rates. Forward your CV to [log in to unmask] for immediate
consideration or call Alan on 020 7 258 8400 for full details.
These are both excellent opportunities, very likely to extend beyond 6
months, to join a top 10 pharma and experience life in a beautiful Swiss
city.
Kind regards,
Alan Brophy
SEC Recruitment, London
=========================================================================
Date: Thu, 1 Sep 2005 10:24:11 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB:Contract Biostatistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear Allstat
=20
We have the following requirement for a Statistician for a 6 month
contract in Switzerland
=20
* Responsible for all statistical tasks for assigned clinical
trials in the Cardiovascular, Metabolism therapeutic area. This
includes: protocol writing, analysis planning and reporting, exploratory
analyses, publication support, and statistical consultation.
* Coordinate study tasks with other statisticians and statistical
programmers.
* Ensure timeliness and adequate quality of all statistical
deliverables.
Follow processes and adhere to project standards as well as Health
Authority requirements
=20
* Minimum MSc in statistics
* At least 5 years experience in pharmaceutical development and
clinical research
* Strong statistical skills and knowledge of clinical trials
methodology: experience with protocol development, analysis planning and
reporting of clinical trials
* Knowledge of SAS
Fluent in English, good oral and written communication skills
=20
Rates : 800- 1200 chf per day.
=20
If you would like more information on this role please don't hesitate to
contact me.
=20
=20
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Thu, 1 Sep 2005 10:32:21 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB:SAS programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear Allstat
=20
We also are currently seeking a temporary SAS Programmer for a 6 month
contract.
=20
=20
* Responsible for the input into specifications for analysis
(including derived datasets, listings, tables, graphs) of clinical
trials across Phase II-IV and for project deliverables (SCS and SCE)
* Subsequent timely delivery of high quality tables, listings
and graphs of clinical trials and project deliverables from analysis
plan, including ad-hoc exploratory analyses
* Represent line function within clinical teams
Ensure that documents and specifications are consistent and comply with
company standards
=20
* Demonstrated ability to lead programming aspects of a clinical
trial
* Expert knowledge of SAS, including SAS BASE, Macro, Report,
familiarity with SAS Graph, ODS and SQL desired
* Experience of involvement in project level programming
activities (pooling of data for ISS, ISE), electronic submission
* Good knowledge of clinical trials, statistics
* Good knowledge of ICH GCP issues as they affect reporting
* Fluent in English
* Minimum a BA/BS University degree in Computer Science,
Statistics or related scientific field
* At least 5 years+ in roles as Statistical Programmer
(pharmaceutical company or CRO)
Computer literate
=20
Rates for this role will be in the region of 700-1100 Chf per day.
=20
If you would like further information about this role please don't
hesitate to contact me.
=20
Kind Regards
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Thu, 1 Sep 2005 10:38:13 +0100
Reply-To: "Jonathan, Philip GSUK-GSSC" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Jonathan, Philip GSUK-GSSC" <[log in to unmask]>
Subject: JOB : CONSULTING STATISTICIAN, SHELL, CHESTER (UK)
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The Statistical Consulting team of Shell Global Solutions (UK) provides =
consultancy and technical development in statistics. Based at Cheshire =
Innovation Park (near Chester), working with colleagues in Shell Global =
Solutions, we provide Shell with a broad base of scientific and =
engineering expertise.
If you are a recent graduate in statistics looking for an interesting =
role within a growing, ambitious (but friendly!) team, we'd like to hear =
from you. You will be qualified in statistics to at least first degree =
level, with a continuing interest in developing your technical skills. =
You may have up to 2 years' experience in the industrial application of =
statistics. You will need the ability to interface and negotiate with =
customers at different levels, and to understand their business needs. =
You must be keen to work in multidisciplinary teams with minimal =
supervision and to take an active role in growing our consultancy =
portfolio.
If you think you are the right person for this challenging position, =
please send your full CV to [log in to unmask]
=========================================================================
Date: Thu, 1 Sep 2005 11:13:13 +0100
Reply-To: Zoe Bennett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Organization: Blue Pelican Pharma
Subject: JOB - CONTRACT - Statistician/Biostatistician- Pharmaceutical
Industry
MIME-Version: 1.0
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Dear All,=20
Another contract position is available with my international =
Pharmaceutical
Client in Switzerland.
This role is a 6 month contract starting as soon as possible, with rates =
up
to =A350 per hour.
This position is to work on cardiovascular or Diabetes studies, =
performing
statistical consultation, protocol writing, analysis, planning and =
reporting
as well as liaison and coordination with other stats team members.
Qualifications must include a Masters in Statistics or similar subject, =
4
years of experience in clinical research/pharmaceutical development,
excellent statistical and analytical ability, knowledge of SAS.
This is an English speaking business environment, so no languages are
required, although French and German may be useful.
For more information on the position, or to discuss any other contract =
or
permanent positions, please contact me.
Kind Regards=20
Zoe Bennett=20
Senior Consultant=20
BLUE PELICAN PHARMA=20
Tel: +44 (0) 1580 201616
Fax: +44 (0) 1580 202000
www.bluepelicanpharma.com=20
Pelican House, Gibbs Reed Farm=20
Ticehurst, East Sussex TN5 7HE=20
Blue Pelican Group provide a professional and ethical recruitment =
service.
It is our policy not to distribute any candidate information without =
prior
consent from the candidate.
All information in this email transmission, including financial and
numerical information, is strictly private and confidential, and subject =
to
change, correction and completion. If you have received this email in =
error,
please notify the sender and delete the email and all attachments
immediately. This email (including any attachments) may contain =
confidential
or privileged information or both. If you are not the intended =
recipient,
any reliance on, use, disclosure, dissemination, distribution or copying =
of
this email or attachments is strictly prohibited.=20
We have checked for viruses, but the contents of an attachment may =
still
contain software viruses, which could damage your computer system. We do =
not
accept liability for any damage you sustain as a result of a virus
introduced by this email or any attachment, and you are advised to use
up-to-date virus checking software. We do not guarantee any email
transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance =
with
the Lawful Business Practice Regulations and the Data Protection Act.
Senders of messages shall be taken to consent to the monitoring and
recording of emails addressed to our employees.
=20
=========================================================================
Date: Thu, 1 Sep 2005 11:18:09 +0100
Reply-To: "MacNeill, Stephanie J" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "MacNeill, Stephanie J" <[log in to unmask]>
Subject: JOB: Medical Statistician
MIME-Version: 1.0
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ROYAL BROMPTON
=20
MEDICAL STATISTICIAN
Fixed term two years in the first instance.
Salary: =A325,737 - =A330,753 pa
=20
The Royal Brompton & Harefield NHS Trust is the UK's largest =
post-graduate specialist heart and lung centre. We are a world famous =
organisation with a proud history in the investigation, treatment and =
research of heart and lung disease. From our two sites - in Chelsea, =
London and Harefield, Middlesex - we strive to develop our staff both =
personally and professionally to ensure our patients get the first class =
service they deserve.
=20
A vacancy exists for a suitably qualified Medical Statistician to work =
at the Royal Brompton & Harefield NHS Trust and the National Heart and =
Lung Institute, a Division of the Imperial College School of Medicine. =
Together this leading centre has an international reputation for =
excellence for heart and lung research. The successful candidate will be =
involved in a variety of projects initiated by research active staff on =
two hospital sites, situated at Chelsea and Harefield.
=20
The successful candidate will work within the department of Health =
Services Research but will be focused in supporting the statistical =
needs of clinicians and other research active staff across the Trust and =
NHLI. Within the post there are significant opportunities for teaching =
and research collaboration, with good professional support.
=20
Applicants must have a first degree in Mathematics, Statistics or a =
related subject and ideally an MSc in Medical Statistics. Practical =
experience with SAS or Stata is essential together with knowledge of =
databases and graphics packages.
=20
Informal enquiries can be made by contacting either Professor Martin =
Cowie on 020 7351 8858 or Stephanie Macneill on 020 7351 8397.
=20
Closing date for receipt of applications is: 29 September 2005
=20
Interviews will be held on: 12 October 2005
=20
For an application form and job description, please contact Ginette =
Cariven on 01895 828 755 or alternatively Recruitment Bureau by email on =
[log in to unmask] quoting reference number RB/BR/487.
=20
=========================================================================
Date: Thu, 1 Sep 2005 11:29:14 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Eloisa Ruiz <[log in to unmask]>
Subject: Gambling
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Hi AllStaters
I'm sending out the following email on behalf of a friend who has a new
found interest in Stats through gambling! My expertise on Neural Networks
and Data Mining is very limited.
His email is as follows:
I'm currently working on a spreadsheet that generates odds for 3 events
based on 4 different selection methods, say:
Event: A B C
Method 1 gives: 1.61 2.42 8.86
Method 2 gives: 1.42 3.05 9.50
Method 3 gives: 1.38 2.78 9.98
Method 4 gives: 1.50 2.86 9.23
I've made these numbers up, but in reality, taking reciprocals of the
numbers in each line and adding them together should always sum to 1.
I then get another 'true set' of odds, say:
True values: 1.53 2.92 9.10
I can get this data for several hundred cases, and I want to know what
weighting I should assign to each method, to be able to predict the true
odds. ie., which method is most accurate. I guess it's a neural network
problem to be honest, but I don't have the practical experience in dealing
with them to make it work.
Can anyone help or recommend books on the subject? Also please let me know
if you mind if I send him your email address with any responses, he may
want to contact you in future!
Many thanks
Eloisa Ruiz
GMS Graduate Statistician
GlaxoSmithKline, Cork
[log in to unmask]
Phone: +353 21 4512130
=========================================================================
Date: Thu, 1 Sep 2005 12:14:39 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: Contract Statistician Roles- Mainland Europe.
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear Allstat
=20
I am seeking 2 more Biostatisticians to work on temporary contracts
abroad.
=20
We are seeking people with at least 1 year (ideally 2-3) of
Biostatistics experience to work on either an Osteoporosis, or
Hypertension. The SAP's have already been written so the work will
involve running the analysis programs, analyzing the data and writing
Statistical reports.
=20
The rate for this would be in the region of 400-600 Euros per day.
=20
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Thu, 1 Sep 2005 12:32:05 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: FDTL4 STARS - Free workshop on 8th September
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Dear all,
>
>Please accept my apologies if you receive this message more than once but,
>since you've expressed an interest in the STARS project in the past, I
>thought you might be interested in a workshop we're running.
>
>
>On 8th September 2005 the FDTL4 project STARS (Creation of Statistical
>Resources from Real Datasets) is running a free workshop in Coventry for
>staff who teach statistics to level 1 students or above.
>
>The workshop will illustrate the materials developed via the project and
>show how you can tailor them to your own requirements.
>
>We've been using real data, coupled with actual scenarios, to produce
>worksheets for users of, mainly, Excel, MINITAB and SPSS. The worksheets
>are intended for use by non-specialist, and specialist, statistics staff
>and students.
>
>In addition we've attempted to combat assignment plagiarism by developing
>ways of producing individualised datasets, questions and answers using
>Excel.
>
>The following timetable for the day is envisaged.
>10.30am Registration and refreshments
>11.00am Introduction to STARS, worksheet usage and feedback
>12.30pm Lunch
> 1.30pm Creation of individualised datasets using Excel
> 2.30pm EITHER Creation of individualised OR Talks from:
> questions and answers NAG, MINITAB & SPSS
> using Excel
> 3.30pm Overall feedback, and suggestions for piloting and embedding
> 3.45pm Tea and departure
>
>Please reply (to [log in to unmask], preferably with Workshop and
>Health Interest in the subject) if you'd like to attend the workshop and
>I'll confirm the arrangements nearer the time.
>
>Finally, for anyone able to pilot at least one worksheet with students in
>the term/semester beginning September/October 2005 we'd like to offer a =A3=
50
>voucher (your choice of either M&S or Waterstone's). Those of you who've
>already been offered a =A310 voucher will obviously receive =A350-worth=
instead
>:-) . If you think you'd be interested in piloting please let me know by
>replying to [log in to unmask], preferably with Piloting and Health
>Interest in the subject.
>
>As a matter of interest we're using business, health and psychology
>datasets related to:
>
>Business
>Fast Food Purchasing
>Employment Satisfaction Survey
>Student Debt
>Transport
>Bank of England } At least
>Cadbury-Schweppes} one of these
>
>Health
>Obesity
>Triglyceride
>Breakfast (and its effect on children=92s hunger and calorie consumption)
>Overdose
>IVF
>
>Psychology
>Bullying
>Dyslexia
>Spatial Memory
>Psychology Student Survey
>Smoking Attitudes } At least
>Academic Behavioural Confidence} one of these
>
>
>All the best for now.
>
>Colin.
>
>=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
> Colin James
> Director, STARS Project (http://stars.ac.uk)
>
> Visiting Research Fellow
> Room 419, Armstrong Siddeley Building
> Faculty of Engineering and Computing
> Coventry University
> Priory Street
> Coventry CV1 5FB, UK
>
> Email: [log in to unmask]
> Profile: http://www.cjltd.co.uk/cj.html
>=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
>
>
=========================================================================
Date: Thu, 1 Sep 2005 13:10:05 +0100
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Neighbourhood & Regional Statistics - Statistics User Forum
Annual Conference
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Booking is open for the Statistics User Forum Annual Conference: =
"Neighbourhood & Regional Statistics - informing decisions"
1 November 2005, 09:30 - 17:30 at
The Royal Society, 6 Carlton House Terrace, London SW1Y 5AG
Sponsored by the Statistics Commission
Full rate: =A3150
Concessionary rate: =A3120
(RSS Fellows, members of RSS affiliated User Groups, academics)
** Fee includes lunch, reception, pre-conference papers and =
post-conference record of discussion
The UK Government has followed an active programme of decentralising =
decision-making and the regions go from strength to strength. =
Policy-making now needs to be empowered at the sub-national level. The =
statistical developments being explored at this conference are an =
essential part of that empowerment.
Opening address:=20
John Healey MP (Financial Secretary to the Treasury)
Keynote speakers:=20
Michael Barber (McKinsey & Co, formerly Prime Minister's Delivery Unit)
Christopher Allsopp (New College, Oxford)
Booking and further information:
Web: =
http://www.rss.org.uk/main.asp?group=3D&page=3D1321&event=3D181&month=3D1=
1&year=3D2005&date=3D
Email: [log in to unmask]
Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
Tel: +44 (0) 20 7614 3939
Fax: +44 (0) 20 7614 3905
** The Statistics User Forum is the successor to the long-established =
Statistics User Council. It is administered by the Royal Statistical =
Society, with financial support from the Economic and Social Research =
Council.
=========================================================================
Date: Thu, 1 Sep 2005 14:23:10 +0100
Reply-To: Neal Alexander <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neal Alexander <[log in to unmask]>
Subject: JOBS: modelling and clinical trials of parasitic infections
Comments: cc: Simon Brooker <[log in to unmask]>
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The London School of Hygiene and Tropical Medicine is part of collaborative=
project evaluating a human hookworm vaccine in Brazil. Hookworms are =
intestinal parasites which affect more than 740 million people around the =
world. They cause major problems, particularly in women and young =
children, leading to iron deficiency, anaemia and malnutrition, as well as =
intellectual impairment in children. We are looking for two research =
fellows to contribute to this work: one in modelling and one in clinical =
trials.
=20
RESEARCH FELLOW IN INFECTIOUS DISEASE MODELLING
MODELLING OF IMPACT OF ANTI-PARASITIC VACCINES
=20
Applications are invited for a post-doctoral research fellowship to work =
on mathematical models of infectious disease vaccination. The fellowship =
will focus on the development of models of the transmission and control of =
human hookworm infection, with an emphasis on predicting the impact and =
cost-effectiveness of vaccination relative to chemotherapy. The candidate =
will join a new group within the department working on statistical and =
dynamical models of a variety of infectious diseases. There are opportuniti=
es for collaboration in the School with those involved in laboratory and =
field-based studies. The department offers excellent research facilities, =
including access to high-performance computing, and a friendly and =
stimulating working environment.
We are looking for applicants with a strong background at PhD level in one =
or more of the following areas: epidemiology, statistics, population =
biology, mathematics or theoretical physics. Experience in statistical =
analysis and/or mathematical modelling and computer programming skills =
would be an advantage. Applicants should be able to work independently and =
as a member of a multidisciplinary research team.=20
The appointment will be for 2 years, and will be made on the School's =
Research Fellow R1A scale, according to qualifications and experience =
=A325,403 - =A332,023. =20
For further information and details on how to apply, please contact the =
Personnel Office, London School of Hygiene and Tropical Medicine, Keppel =
Street, London WC1E 7HT (tel: 020 7927 2203 (24hr answer phone) or email =
[log in to unmask]), quoting reference SB2. =20
Interested applicants are invited to contact Dr Simon Brooker (tel: 020 =
7927 2614 or email: [log in to unmask] The closing date for =
applications is Friday 23 September 2005.
=20
RESEARCH FELLOW
CLINICAL TRIAL ASSISTANT
Applications are invited for a research fellow post in a multidisciplinary =
team working on statistical and epidemiological aspects of Phase 1 and 2 =
clinical trials of a human hookworm vaccine in Brazil. The person will =
contribute to the writing of clinical trial protocols, and data analysis, =
under the supervisor of Professor Laura C Rodrigues. The post will be =
based in the Infectious Disease Epidemiology Unit at the London School of =
Hygiene and Tropical Medicine, with occasional travel to Brazil. The unit =
and department offer excellent research facilities and a friendly and =
stimulating working environment.
We are seeking applicants with postgraduate training in statistics or =
epidemiology. Ability to analyze data is essential. Applicants should be =
meticulously organized, and be able to work independently and as a member =
of a multidisciplinary research team.=20
The appointment will be for 2 years, and will be made on the School's =
Research Fellow R1A scale with salary in the range =A325,403 - =A332,023, =
according to qualifications and experience. There are options for also =
pursuing a PhD.=20
For further information and details on how to apply, please contact the =
Personnel Office, London School of Hygiene and Tropical Medicine, Keppel =
Street, London WC1E 7HT (tel: 020 7927 2203 (24hr answer phone) or email =
[log in to unmask]), quoting reference LR5.=20
Interested applicants are invited to contact Professor Laura Rodrigues =
(tel: 0207 927 2027 or email: [log in to unmask]) or Dr Simon =
Brooker (tel: 020 7927 2614 or email: [log in to unmask]). The =
closing date for applications is Friday 23 September 2005.
=========================================================================
Date: Fri, 2 Sep 2005 11:57:43 +0100
Reply-To: james wood <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: james wood <[log in to unmask]>
Subject: Job opportunity
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear all
An exciting opportunity exists for a mathematical modeller or
biostatistician
working in a large BBSRC programme grant funded research team on the=20
epidemiology and control of culicoides transmitted orbvirus infections,=20
particularly Bluetongue.=20
Further details are appended below
James Wood=20
MODELLER/BIOSTATISTICIAN - POST REF. 05P/2033=20
PIRBRIGHT LABORATORY, Institute for Animal Health, Surrey, UK. =20
JOB DESCRIPTION
Main Duties:
Modelling of the epidemiology of bluetongue, in order to estimate the =
risk=20
presented by this disease to UK livestock now and in the future. =20
Work will include:
Participation in the design and operation of UK field studies=20
Data analysis from these studies=20
The development of remotely-sensed and weather-data driven models =
for=20
bluetongue and its vectors=20
Participation in the development of biological models=20
Participation in the development of spatially-explicit =
transmission=20
models and the parameterisation of these models, in order to =
assess=20
current risk and to forecast the effect of climate change=20
This work will require close collaboration with project modelling teams =
at=20
Oxford and Cambridge Universities and field epidemiologists at IAH
Pirbright. =20
Collaboration with colleagues overseas necessitating short term visits=20
may also be necessary.=20
Qualifications and Experience: =20
Essential:=20
PhD in epidemiology or related subject=20
Experience with some of the following: GIS or other modelling, satellite
imagery,=20
statistical analysis, insect vectors, arboviruses=20
Experience of working with limited direct supervision=20
Ability to innovate scientifically=20
Good communication skills=20
Significant self motivation=20
Desirable:=20
Worked or studied as a member of a modelling group=20
Experience of working abroad=20
Ability to work under field conditions.=20
Salary and Conditions of Service
The post is graded at Band 6-PD. Starting salary is =A322,351 to =
=A325,767
depending on qualifications and experience. The appointment is funded =
for 4
years. The pension scheme is analogous to the Civil Service scheme with =
a
nominal contribution from employees. Annual leave is 25 days on =
appointment
plus 10.5 days public and privilege holidays. The Institute has =
subsidised
child care/nursery schemes, staff restaurants and free parking.
-------------------------------------------------------------------------=
---
----
=20
For further details and an application form please contact: =20
The Human Resources Department, Institute for Animal Health, Pirbright
Laboratory, Ash Road, Woking, Surrey, GU24 0NF; Tel: 01483 231004; =
E-mail:
mailto:[log in to unmask]
Please quote reference number 05P/2033
*****************************************
Dr James Wood=20
Director,=20
Cambridge Infectious Diseases Consortium=20
University of Cambridge
Department of Veterinary Medicine=20
Madingley Road Cambridge
CB3 0ES
email: [log in to unmask]
Tel: +44 (1223) 764666
Fax: +44 (1223) 764667
http://www.vet.cam.ac.uk/cidc=20
=========================================================================
Date: Fri, 2 Sep 2005 14:33:14 +0100
Reply-To: Ebenezer Okyere <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ebenezer Okyere <[log in to unmask]>
Subject: bivariate exponential
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear all staters,
I have a bivariate exponential distribution and I need
to simulate data
for this distribution. Can any one on the list be of
help -- give some
guidance on how to go about it, lead me to some
publications or some
codes in "R", Splus or SAS. The distribution is as
follows:
{ exp{-lambda_{1}x-lambda_{2}y -lambda_{3}min(x,y)}}
and
lambda_{1}+lambda_{3} > 0,
lambda_{2}+lambda_{3} > 0 and
lambda_{3}> -min(lambda_{1},lambda_{2})
x and y are positive and the lambdas are parameters
Thanks in advance.
E. Okyere.
ISM HHU Duesseldorf
Germany.
___________________________________________________________
How much free photo storage do you get? Store your holiday
snaps for FREE with Yahoo! Photos http://uk.photos.yahoo.com
=========================================================================
Date: Fri, 2 Sep 2005 16:04:46 +0100
Reply-To: Martin Gibson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Martin Gibson <[log in to unmask]>
Subject: Transactional Problem Solving example
MIME-Version: 1.0
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Dear Allstat,
Does anyone have of or can point me to a transactional problem solving =
case study using a structured approach (i.e., 8D)? I am aware of the =
pizza example in the Memory jogger but I am seeking something else - if =
it exists!
Many thanks
Martin Gibson
=========================================================================
Date: Fri, 2 Sep 2005 17:26:18 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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CONTRACT - SAS Programmer
=20
Salary: circa EURO 65ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
Your responsibility is to run programs and output for data management
and biostatistics for validation of data, for statistical contributions
of integrated study reports and for other programming requests. The
contract will start ASAP for an initial period of 6 months, based within
an easy commute from Amsterdam and requires a candidate with 18 months+
experience of Programming in SAS within the clinical arena. There is a
strong possibility of contract renewal with this organisation.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to copy of your CV quoting the
reference 'grv-3523'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 2 Sep 2005 19:48:41 +0200
Reply-To: Steffen Witte <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Steffen Witte <[log in to unmask]>
Subject: QUERY / QOL, missing data
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Dear allstaters,
in a clinical trial with a quality of life measurement (SF-36) as the
primary endpoint with an expected death rate of 5-10%, how to analyse the
ITT population? How to include the missing values due to death? Consider
them as "failure" - the worst possible quality of life score? Actually, I
planned to analyse the score as normally distributed. (Maybe I should not
do so? - But otherwise I must plan a RCT with clusters with non-normal
maybe even with a nonparametric endpoint?)
What would YOU do?
Best regards,
Steffen
---
Dr. Steffen Witte
Abteilung Medizinische Biometrie & SDGC
INF 305, D-69120 Heidelberg
T: +49-6221-56-4371, F: +49-6221-56-4195
mailto:[log in to unmask]
www.biometrie.uni-heidelberg.de
=========================================================================
Date: Sat, 3 Sep 2005 07:13:31 -0700
Reply-To: Despo Phila <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Despo Phila <[log in to unmask]>
Subject: Effect size from x2 statistic
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Hi!
I have found this formula which says that computes effect size from x2 statistic . Firtly what do you think about it ? Could anyone help me in writing a macro or syntax in SPSS or EXCEL for this formula or does anyone know a free program that calculates the ES using this formula ?
ES= the square root of 4(x2)/N-x2
Thanks
__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail.yahoo.com
=========================================================================
Date: Sat, 3 Sep 2005 17:49:10 +0100
Reply-To: Chris Kershaw <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Kershaw <[log in to unmask]>
Subject: Royal Statistical Society - Social Statistics Section - two talks
on 20 September
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
There will be a Social Statistics Section meeting on 20th September =
starting
at 5pm (Tea 4.30pm) at Royal Statistical Society, 12 Errol Street, =
London,
EC1Y 8LX. This will be given by Richard Cracknell, Head of Social
Statistics, House of Commons Library and is entitled Politicians, =
Parliament
and Statistics. Richard has given this presentation in Cardiff and we =
were
very pleased that he was able to make this very interesting presentation
again at the first of this session's regular programme. Richard will be
discussing where parliamentarians get their statistics from and how they =
use
(and abuse) them. He will also discuss issues for dissemination and
accessibility of statistics that are posed by an increasingly
electronic-only environment and the role that statistics play in having =
a
truly informed democracy.
=20
We have are very pleased to be hosting a special meeting earlier on the =
same
day at 2pm at which Prof. Sonia Catasus Cervera will be discussing =
Social
Research in Cuba. She will discuss the organisation of social research =
in
Cuba in general, and touch on her own research on the development of
demographic trends as affected by the economic and social =
transformations of
the past 50 years in Cuba. She is in Britain at the invitation of the
British Society for Population Studies. This should also prove to be a =
very
interesting presentation.
=20
Both these meeting are open to all and free of charge
For more information please contact:
Rosalyn Harper
[log in to unmask] / Tel: 020 7273 8010
=20
=20
=========================================================================
Date: Sat, 3 Sep 2005 12:56:09 -0400
Reply-To: Jason Osborne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: Looking for authors for chapters on "best practices" in
quantitative methodology
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: quoted-printable
I am looking for people to author chapters in a book on "best practices" =
in quantitative methods for the social sciences-- a very APPLIED and =
practical book. The challenge of each chapter is to present the BEST way =
to do something, why it's better than other methods (if relevant), how to =
do it (examples encouraged), and if possible, an empirical comparison =
between the preferred method of doing something and other methods =
demonstrating its superiority.
=20
Currently, I have 24 chapters on a variety of topics (see list of topics =
we already have authors committing to below). I am happy to discuss =
chapters on anything I do not already have. =20
=20
I'd love to see chapters on:
=20
- best practices in ANOVA (e.g., does it really matter if cell sizes are =
unequal? how do you know if you have intracell outliers? How do you =
interpret interactions? How do you test assumptions? Can you really =
control for initial differences in quasi-experimental design via ANCOVA? =
What are advanced things/techniques people need to know about? ),=20
=20
-some more chapters on different aspects of measurement (e.g., I almost =
had a chapter on modern applications of the multitrait-multimethod matrix, =
but the author had other committments....),=20
=20
-and perhaps a couple more chapters on advanced topics in multiple =
regression (like testing for and interpreting curvilinear effects, =
interactions, how to graph these things out, etc.).
=20
I don't claim to know all the things that researchers need to know in =
order to be the best they can be.... if you have a topic you are interested=
in writing about, email me and we can talk about it. I want this book to =
be a definitive reference on how to do things RIGHT, the best way we know =
how.
=20
FYI: the deadline for submission of an initial draft ms would be 3-4 =
months (e.g., late December, or we can negotiate another submission date =
if that doesn't work) There is at least one publisher interested right =
now and my agent is consulting with other publishers to see if others may =
be interested. I cannot provide details on which publishers might be =
interested at this point, but will happily do so once the contracts are =
finalized.
=20
Thanks in advance,
Jason
=20
(please make sure you reply to me at [log in to unmask], not to the =
list!)
=20
=20
Tentative outline for "best practices" book2. Notes on the use of Data =
Transformations3. The power of outliers4. How to deal with missing =
data5. Four assumptions of multiple regression you should always check6. =
Correcting correlation coefficients correctly7. Effect sizes and =
confidence intervals for effect sizes8. Predicting the right way: Using =
multiple regression to create prediction equations9. Using criterion-refer=
enced assessments for setting standards and making decisions: Some =
conceptual and technical issues.10. History, Philosophy, and applications =
of resampling11. Estimating inter-rater reliability: Assumptions and =
implications of three common approaches12. Replication in field studies13. =
Power analysis14. Logistic regression in the social sciences15. Advanced =
topics in Logistic regression16. An introduction to Item Response Theory =
17. An introduction to Rasch Measurement 18. Four ways to improve your =
Exploratory Factor Analysis.19. Sample size and subject to item ratio in =
principal components analysis.20. Hierarchical Linear Modeling: What it is =
and when researchers should use it.21. Best practices in meta-analysis: =
the case for using HLM22. Measuring accuracy in psychological research.23. =
Best practices in Mixed Methods research24. Summary and ethical implication=
s
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page: http://ced.ncsu.edu/ci/ed_psych.h=
tml
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
=========================================================================
Date: Sat, 3 Sep 2005 18:07:37 -0400
Reply-To: "Alan E. Dunne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Alan E. Dunne" <[log in to unmask]>
Subject: Fw: doubt about exercise
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
----- Original Message -----=20
From: "Alan E. Dunne" <[log in to unmask]>
To: "Rodrigo Briceno" <[log in to unmask]>
Sent: Friday, September 02, 2005 6:27 PM
Subject: Re: doubt about exercise
> With Respect
>
>
> I thought the catch was that the inoculation reduces the chance of
> getting
> flu by 80%, or 0.48, so that the inoculated have a chance of getting si=
ck
of
> 0.12 not 0.2
>
> -but this gives me 0.528 + 0.048 + 0.072 =3D 0. 648
>
>
> Note the textbook answer gives a probability of boh employees not
being
> sick of 0.4048, more than, the 0.4 both Mr Briceno and I took as the
chance
> of the non-inoculated employee not being sick.
>
>
> Yours Sincerely,
> Alan E. Dunne
>
> ----- Original Message -----=20
> From: "Rodrigo Briceno" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Tuesday, August 30, 2005 10:29 AM
> Subject: doubt about exercise
>
>
> Dear co-listers. I was solving some exercises on probability topics, bu=
t
> suddenly a doubt came to me when I tried to solve a problem.
>
>
>
> The problem says that: Suppose that the probability of being sick of fl=
u
> during an epidemic is 0.6. The past experience has showed that certain
serum
> is effective in 80% of the times to avoid a person being sick of flu, i=
f
the
> person is exposed to it. Two people, one inoculated and the other don't
are
> employees of a company. Suppose that they aren't in the same place, the=
y
are
> not in contact with the same people and they can't be infected between
each
> other. What is the probability that at least one of them is affected by
the
> flu?
>
>
>
>
>
> I make the following reasoning:
>
>
>
> Non-inoculated sick, inoculated non-sick: 0.6 X 0.8 =3D 0.48
>
> Non-Inoculated non-sick, inoculated sick: 0.4 X 0.2 =3D 0.08
>
> Both Sick: 0.6 X 0.2 =3D 0.12
>
>
>
> Answer: 0.68. I don't know if the procedure and reasoning are wrong, bu=
t
the
> textbook says that the answer (without explaing how they get it) is
0.5952.
>
> Can somebody provide me advice to this respect?
>
>
>
> Thanks for your kindly cooperation.
>
>
>
>
>
> _________________________________
>
> Rodrigo Brice=F1o
>
> Consultor
>
> Sanigest International
>
> San Jos=E9, Costa Rica
>
> Telf. (506) 291-1200, ext.118
>
> Fax. (506) 232-0830
>
> Cell (506) 357-4535
>
> www.sanigest.com
>
> Apdo. 23-2015 Zapote Costa Rica
>
> __________________________________
>
>
=========================================================================
Date: Sun, 4 Sep 2005 18:07:40 -0400
Reply-To: Michael Schmidt <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Schmidt <[log in to unmask]>
Organization: Michael E. G. Schmidt, PE
Subject: Re: doubt about exercise
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Actually, that should be "doubt about the given answer."
I concur with the other two observed responders but would like to emphasize
the issue that Mr. (Dr.?) Dunne raises, which is the inherent illogic of the
textbook answer. Although I am too far removed from such exercises to be
trustworthy, it seems to me that, if the probability of non-illness of the
noninoculated person is .4, the probability of non-illness in both _cannot_
be greater than .4. Some law of nature that I seem to recall states: p(a and
b) <= p(a). I shall be much obliged to the person who can show this to be
wrong. Or inapplicable to the present exercise.
Respectfully,
Michael
------------------------------
Date: Sat, 3 Sep 2005 18:07:37 -0400
From: "Alan E. Dunne" <[log in to unmask]>
Subject: Fw: doubt about exercise
----- Original Message -----=20
From: "Alan E. Dunne" <[log in to unmask]>
To: "Rodrigo Briceno" <[log in to unmask]>
Sent: Friday, September 02, 2005 6:27 PM
Subject: Re: doubt about exercise
> With Respect
>
>
> I thought the catch was that the inoculation reduces the chance of
> getting flu by 80%, or 0.48, so that the inoculated have a chance of
> getting si=
ck
of
> 0.12 not 0.2
>
> -but this gives me 0.528 + 0.048 + 0.072 =3D 0. 648
>
>
> Note the textbook answer gives a probability of boh employees not
being
> sick of 0.4048, more than, the 0.4 both Mr Briceno and I took as the
chance
> of the non-inoculated employee not being sick.
>
>
> Yours Sincerely,
> Alan E. Dunne
>
> ----- Original Message -----=20
> From: "Rodrigo Briceno" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Tuesday, August 30, 2005 10:29 AM
> Subject: doubt about exercise
>
>
> Dear co-listers. I was solving some exercises on probability topics,
> bu=
t
> suddenly a doubt came to me when I tried to solve a problem.
>
>
>
> The problem says that: Suppose that the probability of being sick of
> fl=
u
> during an epidemic is 0.6. The past experience has showed that certain
serum
> is effective in 80% of the times to avoid a person being sick of flu,
> i=
f
the
> person is exposed to it. Two people, one inoculated and the other
> don't
are
> employees of a company. Suppose that they aren't in the same place,
> the=
y
are
> not in contact with the same people and they can't be infected between
each
> other. What is the probability that at least one of them is affected
> by
the
> flu?
>
>
>
>
>
> I make the following reasoning:
>
>
>
> Non-inoculated sick, inoculated non-sick: 0.6 X 0.8 =3D 0.48
>
> Non-Inoculated non-sick, inoculated sick: 0.4 X 0.2 =3D 0.08
>
> Both Sick: 0.6 X 0.2 =3D 0.12
>
>
>
> Answer: 0.68. I don't know if the procedure and reasoning are wrong,
> bu=
t
the
> textbook says that the answer (without explaing how they get it) is
0.5952.
>
> Can somebody provide me advice to this respect?
>
>
>
> Thanks for your kindly cooperation.
>
>
>
>
>
> _________________________________
>
> Rodrigo Brice=F1o
>
> Consultor
>
> Sanigest International
>
> San Jos=E9, Costa Rica
>
> Telf. (506) 291-1200, ext.118
>
> Fax. (506) 232-0830
>
> Cell (506) 357-4535
>
> www.sanigest.com
>
> Apdo. 23-2015 Zapote Costa Rica
>
> __________________________________
>
>
------------------------------
End of allstat Digest - 2 Sep 2005 to 3 Sep 2005 (#2005-217)
************************************************************
=========================================================================
Date: Mon, 5 Sep 2005 08:24:49 +0100
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Cox regression - goodness of fit
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Hello everyone,
Does anyone know of a statistic which can be used to assess the goodness
of fit of a Cox regression model?
Many thanks,
Kim.
=========================================================================
Date: Mon, 5 Sep 2005 09:31:57 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB:Statistical Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64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=========================================================================
Date: Mon, 5 Sep 2005 11:28:54 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Marketing Analyst - Greater Manchester
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
My Client is a leading manufacturer and distributor of safety equipment=20
based in Lancashire. They are looking for a Market Insight Analyst to help=20
drive their brand forward. You will develop, maintain and publish various=20
reports to enable commercial decisions. Suitable candidates will have a=20
degree in a numerical or statistical discipline at Class 2:1 or above with=20
at least a years Statistical experience and a sound knowledge of Data=20
Modelling Techniques such as CHAID and Regression Analysis. Ideally you=20
will have a knowledge of SAS, SQL, Crystal, Excel, Access and Visual=20
Basic. You will have excellent communication skills and will be able to=20
present your analysis in a non-statistical format. Apply today for an=20
interview!
Location: Greater Manchester
Salary: To =A327K + Bonus + Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8972/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Mon, 5 Sep 2005 04:35:07 -0700
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Astro Workshop
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Please see the attachement about Astro Workshop.
Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around
http://mail.yahoo.com
=========================================================================
Date: Tue, 6 Sep 2005 09:36:24 +0200
Reply-To: "J.P.J.M Peeters" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "J.P.J.M Peeters" <[log in to unmask]>
Subject: JOB: professor assistant position
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Faculty of Economics and Business Administration
Tilburg University is a specialized institute of learning and research, w=
ith
emphasis on social sciences and the humanities. The Faculty of Economics =
and
Business Administration is among the strongest in Europe. It offers BSc
programs in Economics, Business Administration and International Business=
,
Information Management, Econometrics and Operations Research, Fiscal
Economics, Business Studies, and International Economics and Finance, as
well as a wide range of postgraduate programs.
At the Department of Econometrics and Operations Research and the Center =
for
Economic Research (CentER) at Tilburg University, a position is available
for a
Tenure Track Assistant Professor in Statistics / Actuarial Sciences
(vacancy number 300.2005.27)
Information:
The Department of Econometrics and Operations Research carries out a
strongly quantitatively oriented research program, and many of its
approximately 50 staff members are mathematicians. Research directions
include Statistics, Econometrics, Mathematical Finance, Mathematical
Economics, Actuarial Sciences, Game Theory, and Operations Research. The
members of the department contribute to several educational programs offe=
red
by Tilburg University, including the Bachelor=92s program in Econometrics=
and
Operations Research, the Master=92s program in Quantitative Finance and
Actuarial Sciences, and the Master=92s Program in Mathematical Economics =
and
Econometric Methods.
CentER is the research institute of the Faculty of Economics and Business
Administration of Tilburg University. More information about CentER can b=
e
found at: www.center.nl, where you find links to the Faculty and the
University as well. More information about the Department of Econometrics
and Operations Research is at www.uvt.nl/faculties/feb/econometrics.
We Offer:
The assistant professorship is a tenure track position for six years. The
position offers ample opportunities to do research as it carries a light
teaching load (approximately one course per semester). After five years a
tenure decision is made. We offer competitive European salaries. For
researchers from outside the Netherlands there exists the possibility of
applying for a tax-free allowance equal to 30% of their taxable salary. T=
he
university will apply for such a tax treatment. CentER and the department
will provide assistance in finding suitable accommodation. The university
offers very good fringe benefits (it is one of the best non-profit
employers), the possibility to determine your benefits individually throu=
gh
a labour choice model, excellent moving costs reimbursement, etc.
Applications:
Applications should be received not later than October 15, 2005. They sho=
uld
include a curriculum vitae, copies of sample research papers, and, if
applicable, teaching evaluations. Two referees should send letters
appraising the applicant=92s research potential, by the same date.
Applications should be sent to Tilburg University, the Personnel Departme=
nt
FEB, room B136, PO Box 90153, 5000 LE Tilburg, The Netherlands or
[log in to unmask] Please mention the vacancy number 300.2005.27=
in
your application.
For further questions you can contact prof. J.M. (Hans) Schumacher via
telephone: +31-13-4662050, telefax: +31-13-4663280 or email: [log in to unmask]
=========================================================================
Date: Tue, 6 Sep 2005 10:01:07 +0100
Reply-To: "Goda, David F" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Goda, David F" <[log in to unmask]>
Subject: Journals - RSS series A 1970-96
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
> Friends=20
>=20
> The journals listed below are looking for a good home. They may be =
collected from the centre of Wolverhampton, or I can send - or indeed =
deliver - at cost. Unfortunately, the cost of sending them outside =
Britain seems to be disproportionate to their value.
>=20
> Journal of the Royal Statistical Society, series A (general)=20
> Vols 133 (1970) - 159 (1996)=20
Almost complete, 4 odd issues missing. Some covers faded, otherwise in =
very good condition. =20
> Best wishes=20
>=20
> DFG
>=20
> -----------------------------
> David Goda
> SCIT, Univ. of Wolverhampton Phone (01902)321444
> Wulfruna Street Email [log in to unmask]
> Wolverhampton WV1 1SB
>=20
>=20
=========================================================================
Date: Tue, 6 Sep 2005 02:23:40 -0700
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Astro Workshop
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
Sorry Now i send attachment now.
Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
______________________________________________________
Click here to donate to the Hurricane Katrina relief effort.
http://store.yahoo.com/redcross-donate3/
=========================================================================
Date: Tue, 6 Sep 2005 02:30:48 -0700
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Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
__________________________________________________
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Date: Tue, 6 Sep 2005 02:36:30 -0700
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Arindam Gupta
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Date: Tue, 6 Sep 2005 03:12:56 -0700
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Dear Friends.
If I have mean & S.d of 13.26 & 2.8 respectively.
Are the values above give a sense that the variable normal ?
In other words, is there a relation between the value of mean and value of S.d which can say from it that the variable normal or non-normal?
Hope I was clear enough.
Thanks in advance.
Omar
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Date: Tue, 6 Sep 2005 12:03:52 +0100
Reply-To: Doug Altman <[log in to unmask]>
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From: Doug Altman <[log in to unmask]>
Subject: Re: mean & s.d
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You cannot say anything about the shape in this case. Sometimes, however,
normality is unlikely. Specifically, if SD is relatively large compared to
the mean the data are likely to be skewed. For a strictly positive
variable, mean <2SD is a good indicator of non-normality.
Of course this does not work for a variable that can be negative, such as
the change in a variable between two times.
Note too that the SD in a sample may be artificially large because of an
outlier.
In addition, if you see a relation between mean and SD across several
samples this too is a sign of non-normality.
For more detail see
Douglas G Altman and J Martin Bland
Statistics Notes: Detecting skewness from summary information
BMJ 1996;313;1200.
http://bmj.bmjjournals.com/cgi/reprint/313/7066/1200
Doug
At 11:12 06/09/2005, Omar Farook wrote:
>Dear Friends.
>
>
>
>If I have mean & S.d of 13.26 & 2.8 respectively.
>
>Are the values above give a sense that the variable normal ?
>
>In other words, is there a relation between the value of mean and value of
>S.d which can say from it that the variable normal or non-normal?
>
>
>
>Hope I was clear enough.
>
>Thanks in advance.
>
>
>
>Omar
>
>[log in to unmask]
>
>
>
>---------------------------------
> Click here to donate to the Hurricane Katrina relief effort.
_____________________________________________________
** PLEASE NOTE MY NEW ADDRESS **
(email address is unchanged)
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
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Date: Tue, 6 Sep 2005 13:44:51 +0100
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From: Gill Meadows <[log in to unmask]>
Subject: Chair and lectureship in Social Statistics
The new University of Manchester is making a considerable investment
in a number of areas including social statistics. The University is now
advertising a chair and an associated lectureship in social statistics but
also has plans for further large-scale investment in the future.
We hope that the new appointee will lead this process of expansion and
contribute to building a major new centre for excellence in social
statistics.
Details of the post are at
http://www.man.ac.uk/news/vacancies/academic.html#HUM203
Please feel free to circulate this information widely.
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Date: Tue, 6 Sep 2005 14:26:55 +0100
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Subject: Visiting International Fellowship 2005/2006
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=20
Apologies for any cross-posting
=20
Institute of Social Research, University of Surrey
=20
VISITING INTERNATIONAL FELLOWSHIP in social research methods
=20
[http://www.soc.surrey.ac.uk/isr.htm ]
=20
The Institute of Social Research at the University of Surrey, Guildford,
United Kingdom, has established a Visiting International Fellowship to
foster the development of sociological research methods. Between one and
three Fellowships are awarded by competition each year. Applicants for
the Fellowship will be established scholars in social science with a
track record in a field of social research methodology. They will
normally hold, or recently have held, an established academic
appointment in social science. The Fellowship committee regrets that it
cannot consider applications from candidates seeking training, updating
of methodological skills, or who are currently registered for an
undergraduate or graduate degree.
=20
Recent Fellowship recipients have included David De Vaus (La Trobe), Ed
Brent (Missouri), Gary Shank (Duquesne), Elisabetta Ruspini (Padua),
Norman Blaikie (Emeritus, Universiti Sains Malaysia) and Edith de Leeuw
(Utrecht).
=20
The awards are open to those who would value the opportunity to advance
methodological understanding, for example by reflecting on methods used
in previous empirical research, by validating existing or new
methodological procedures, or by reviewing and synthesizing
methodological approaches. 'Methods' may be interpreted widely, to
include, for example, statistical techniques and conversation and
discourse analysis.
=20
Applications from female and ethnic minority candidates are particularly
encouraged.
=20
An honorarium of 2,000 pounds sterling (about 3,000 euros or 3,500 US$)
will be paid (it is expected that award-holders will normally be on paid
leave of absence from their employment). Award holders will be expected
to pay their own travel costs to Guildford and their accommodation and
subsistence for the duration of their award, which should be for one or
more visits with a duration of at least one month in total. Visiting
International Fellows will become honorary Research Fellows of the
University and be entitled to use the University Library and make use of
University facilities. The holder is usually permanently resident
outside the United Kingdom.
=20
The Institute of Social Research of the Department of Sociology at
Surrey provides research expertise and research methods for the
application of social research to contemporary society. It promotes high
methodological standards and new developments in methodology for the
social science research community. ISR is well-known for the work of the
CAQDAS Networking Project on qualitative software, the work of the
Centre for Research on Simulation in the Social Sciences (CRESS) in
social simulation, and the work of the ESRC Social Survey Question Bank
and ESRC Survey Link Scheme, both of which are based in the department.
ISR is also well-known for its work on the secondary analysis of large
data sets and online research methods.
=20
Applications should be sent to Sue Venn, Administrator, Institute of
Social Research, Department of Sociology, University of Surrey
Guildford, GU2 7XH, UK
Tel +44(0)1483 683966
Fax +44(0)1483 689551
Email [log in to unmask]
=20
Applications must be received by 30th September 2005 for visits during
the calendar year 2006. Applications must be made on the application
form posted on the website noted below. Applications may be submitted in
paper form by post or fax, or via e-mail as an attachment in MS Word or
Corel WordPerfect. E-mail submission is preferred. Proposals for
collaborative research with members of the Institute are especially
welcome.
=20
The application form, and more information about the International
Fellowship, the Institute of Social Research, and the Department of
Sociology at the University of Surrey, is available on our www site
http://www.soc.surrey.ac.uk/isr_vif.htm
************************************************************************
*
INSTITUTE OF SOCIAL RESEARCH
Department of Sociology
University of Surrey
Guildford,
Surrey GU2 7XH, UK=20
=20
Joint Directors: Professor Nigel Fielding and Professor Martin Bulmer =20
=20
Associate Director: Professor Roger Tarling. Institute Administrator:
Mrs Sue Venn=20
=20
Tel+44 (0)1483 683966 Fax + 44 (0)1483 689551
email [log in to unmask]
=20
=20
=20
=20
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Date: Tue, 6 Sep 2005 14:21:33 +0100
Reply-To: Alun Owen <[log in to unmask]>
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From: Alun Owen <[log in to unmask]>
Subject: External Examiner for MSc Industrial Data Modelling
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**This email is aimed at members of academic staff at higher education =
institutions - apologies to everyone else**
I'm the course leader for a very successful MSc programme in Industrial =
Data Modelling offered via distance learning at De Montfort University, =
Leicester, UK and we seeking an experienced external examiner for this =
programme, to replace the previous post holder who has recently =
emigrated.
If you are interested and would like further information please can you =
contact me either by email or telephone (see contact details at the end =
of the email) or alternatively there are details about the course at =
http://www.cse.dmu.ac.uk/Courses/MScIDM (please note that we are in the =
process of updating this information since some of the contact details =
there are now out of date).
Many thanks and once again my apologies to those for whom this was not =
relevant.
Regards
Alun
-----------------------------------
Alun Owen
Senior Lecturer
Programme Leader MSc Industrial Data Modelling
De Montfort University
The Gateway
Leicester LE1 9BH
Tel +44 (0)116 2078485
www.dmu.ac.uk
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Date: Tue, 6 Sep 2005 15:39:18 +0100
Reply-To: K F Pearce <[log in to unmask]>
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From: K F Pearce <[log in to unmask]>
Subject: Replies: Cox regression: time dependent covariates: SPSS plots
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Hi everyone,
Many thanks to everyone who replied to my questions regarding Cox
regression on SPSS(see below)
Basically here is the general consensus:
To check the proportional hazards assumption.....if the hazard ratio for
two patients changes through time, the proportional hazard assumption is
invalid. So if we have x_1 as 'sex' (male=3D1, female=3D0), x_2 as
'treatment' (yes=3D1, 0=3Dno) and x_3 as 'history' (yes=3D1, no=3D0) =
then for a
male and a female with treatment =3D 1 and history =3D 1 we would have
h(t) =3D h_o(t) * e^(B_1 + B_2 + B_3) for the male
h(t) =3D h_o(t) * e^(B_2 + B_3) for the female
The baseline h_o(t) is the same for both males and females, the ratio of
their estimated hazard rates across all time points is e^B_1 i.e. for
the proportional hazards assumption to hold, the ratio of the estimated
hazard across time is a constant. Parmar and Machin give a nice example
in their book "Survival Analysis" which shows a log(-log(Survival))plot
to demonstrate that the proportional hazards assumption holds. They have
produced lines for each of the possible combinations of the levels of
their two variables.....x1=3D0,x2=3D0 and x1=3D1,x2=3D0; x1=3D0,x2=3D1 =
and
x1=3D1,x2=3D1. They say that the parallel lines indicate approximately
proportional hazards in the 4 patient groups.
In SPSS we check that the proportional hazards assumption is true using
the "plots" button in the cox regression option and choosing a log(-log)
plot for the 'separate lines' option.
Now to assess if a time dependent variable should be added... say, in
my example above, the plot which tested the proportional assumption for
'treatment' was non parallel / or crossed and hence you thought that
'treatment' was time dependent you could fit the model with terms=20
h(t) =3D h_o(t) * e^(B_1*sex + B_2*treat + B_2*treat*t_cov + =
B_3*history)
After fitting this model (using the TIME program in Cox regression) you
found that the null hypothesis treat*T_cov=3D0 was rejected then the
hazards were not proportional for this variable and treatment is indeed
time dependent and the time dependent term treat*t_cov should be
included in the model.
Stratification is a totally different ball game.....say we stratify by
'sex', we get two different baseline functions...one for male and one
for female. A plot ,log(-log(survival)) against t ,for males and a
similar plot for females (where both male and female patients share the
same values for 'history' and 'treatment') will reveal if the data
should be stratified. Now say if the lines are non parallel, indicating
that stratification is required.....we can split the data and we create
one model for males and one model for females (i.e. different betas for
males and females.
You may still test within each stratum whether hazards non-parallel
(i.e. whether betas are different for OTHER covariates, not for the
stratification variable), and then you may decide to use time-dep
covariates to account for that. It may possibly be that the time
covariate is significant in one stratum and not in the other (say, time
interacts with X for males, but not for females), but there is doubt
whether this will happen frequently. In any case, if you find betas
should be different for different strata, you should split the dataset
and run Cox regression separately for each stratum.
Now the answers to my other questions (in '>'):
>
> I find the SPSS manual a little confusing as regards how to establish
> if a specific effect is constant over time (i.e whether a time=20
> dependent covariate is in existence). The example in the manual I am=20
> reading finds that the data should be stratified by treatment (where=20
> treatment takes the values 0 or 1). It then tries a model
>
> H(t) =3D h_o(t) e^ (B_1 *treat + B_2 *treat*t_cov)
>
> The manual says that "whenever you want to test that hazards are=20
> proportional for different strata, you incorporate the
> time-by- stratification-variable interaction. If the coefficient for=20
> this term is significant then the hazards are not proportional." =20
> Could anyone explain what this means please?
The t_cov is a time dependent covariate you may create with the TIME
PROGRAM command before starting COX REG proper. For the exercise
described in the manual, you do not stratify, but use the stratifying
variable (e.g.
treatment) as another covariate, multiplied by t_cov in this case, to
see whether the effects of time for each treatment describe a different
curve. Time is basically your time variable (e.g. time after surgery),
but it could also be some other function of time, such as log time,
squared time or whatever.
You can also treat the t_cov time-dependent covariate by itself, to see
whether hazards are proportional along time, or the interaction of t_cov
with any of your covariates to see whether time interacts with that
covariate.
In effect, time-dependent covariates are the mechanism through which you
analyze non-proportional hazards in general.
> Finally some books state that the log(-log) plots should be against t;
> some say against log of t. SPSS plots against t.does anyone know the=20
> reason for the descrepency?
It depends on theory. The effect of time elapsed on the hazard may be
constant or decreasing. For instance, the risk of dying for a newborn is
greater in the first few days, and then decreases; so increasing time by
one day has not the same effect when the child is one day old or 30 days
old.
But perhaps increasing time by 20% has the same effect at all times, and
in this case log time is the appropriate measure. Unlike infant
mortality per unit time, which is a decreasing function of time after
birth, the risk of being mugged in the street can reasonably be
conceived of as a constant function of time elapsed since the start of
the study, since that hazard is probably the same at all times per unit
of time.
**************************************
Finally, some references for the assessment of goodness of fit of the
Cox regression model:
"Regression modelling strategies" by Frank Harrell Jr.
Explained randomness in proportional hazards models O'Quigley J, Xu RH,
Stare J STATISTICS IN MEDICINE
24 (3): 479-489 FEB 15 2005
If you are looking for something like R^2 you might find the web site of
the biometricians at the medical university of Vienna helpful
http://www.meduniwien.ac.at/imc/biometrie/index_en.htm
Click on the link to "publications", then for example on the link to the
paper by Schemper and Henderson in Biometrics 56.
Follow the link "back to programs" to find SAS, R and SPLUS programs to
compute the measures of predictive accuracy and explained variation
explained in the aforementioned paper.=20
Once again, thanks for all your help,
Kim
-----Original Message-----
From: K F Pearce=20
Sent: 30 August 2005 10:03
To: [log in to unmask]
Subject: Cox regression: time dependent covariates: SPSS plots
Hello everyone,
I would like to ask a few questions about Cox regression and how to
assess its assumptions on SPSS. Perhaps someone who has carried out Cox
regression can help.
Firstly some background....
1) Background about the Proportional Hazard Assumption
The cumulative hazard function is=20
h(t) =3D h_o(t) * e^(beta_1 x1 + b_2 x2 +.....)
the baseline hazard is h_o(t).
Cumulative Survival function is S(t)=3Dexp(- h(t))
The model is called the "proportional hazards model" because for two
patients, the ratio of their hazards will be constant for all time
points.=20
For example if you had patients with the same age with presence of
characteristic A but different stages of disease, the ratio of the
estimated hazard rates across all time points is constant at e^beta
where the regression coefficient is for the case with stage coded as 1.
According to Paramar and Machin ("Survival Analysis") we could plot the
log(-log) value of the survival function against (log of) time for the
distinct covariate patterns we are dealing with to assess if the
proportional hazard assumption holds. =20
So, if we focus on 'stage', we could check the proportional hazard
assumption was true for this variable in SPSS by using the "plots"
option in SPSS to plot separate log(-log) survival curves/"lines" for
pattern 1) where stage=3D0 and pattern 2) where stage=3D1. We could do
similar plots to check the proportional hazard assumption for presence
and absence of 'characteristic A'. Parallel lines indicate proportional
hazards (Paramar and Machin, p140). Note that the same baseline
function is used to generate the different lines.
2) Background about stratification
We can also establish if the model should be stratified in SPSS by
splitting the data into strata to generate several separate hazard
baseline functions, one for each stratum.
One set of coefficients is generated regardless of stratum. The value
of the hazard functions in both strata are calculated using the same
set of variables e.g. if the data was stratified by 'sex', the hazard
function for those with characteristic A and characteristic B would be
generated for both males and females over all time points.
Again, we examine SPSS's 'log minus log' against t plot to see if the
ratio of the hazard functions for the two patient groups is constant
over time. Parallel lines signify that this is true. If this is the
case, then the variable used to form the strata ('sex' in our example)
can be used in the model and a common baseline hazard function can be
estimated for all of the groups.
Questions:
I find the SPSS manual a little confusing as regards how to establish
if a specific effect is constant over time (i.e whether a time dependent
covariate is in existence). The example in the manual I am reading
finds that the data should be stratified by treatment (where treatment
takes the values 0 or 1). It then tries a model=20
H(t) =3D h_o(t) e^ (B_1 *treat + B_2 *treat*t_cov)
The manual says that "whenever you want to test that hazards are
proportional for different strata, you incorporate the
time-by-stratification-variable interaction. If the coefficient for
this term is significant then the hazards are not proportional." Could
anyone explain what this means please?
Also, I'd like to know if we can assess if a time dependent covariate
should be added by looking at plots? If so, which plots? I would say
that the plots described above (in 1) to assess the proportional hazards
assumption would be the ones to look at as these make use of the index,
beta_x. Non parallel lines would indicate that a predictor depends on
time. Do you agree?
Finally some books state that the log(-log) plots should be against t;
some say against log of t. SPSS plots against t...does anyone know the
reason for the descrepency?
Many thanks again,
All the Best,
Kim.
=========================================================================
Date: Tue, 6 Sep 2005 09:08:30 -0600
Reply-To: Rodrigo Briceno <[log in to unmask]>
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From: Rodrigo Briceno <[log in to unmask]>
Subject: Summary of responses-doubt about exercise
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Dear co-listers. Here you have a summary of all the responses about my =
past
query.
_____________________________________________
Hello,
have you other information concerning the probability to be inoculate? =
My
idea is to use the Bayes theorem and the conditionnal probability. But
whithout the probabiltiy of the exposure P(E)... it's difficult.
Regards,
E.L
__________________________________________
I think you're right if the independence assumption holds.
=20
Abderrahim
___________________________________________
Hi, my answer is different from both:=20
=20
The probability that the person not inoculated being infected is 0.6. If =
he
is not sick (with probability 0.4), then the probability the other =
person is
sick is 0.6 * 0.2 =3D 0.12. Therefore the probability that at least one =
person
is sick is 0.6 + 0.4 * 0.12 =3D 0.648.=20
That's assuming I've understood the question correctly. If the =
probability
that an inoculated person is sick is 0.8, overall, regardless of whether
he's infected, then the overall probability would be 0.6 + 0.4 * 0.2 =3D =
0.68.
=20
Tim
_____________________________________________________________________
=20
Whatever the probability, I don't see how it can be less than 0.6, since
this is the probability that the non-inoculated one gets flu regardless =
of
what happens to the other.
____________________________________
Rodrigo,
I have still another result adding to yours. I'd say there is at least =
one
error in your reasoning (but there might still be one in mine as well):
=20
The probabilities of the inoculated are not correct. The probability for
this one to NOT get sick is 0.4 + 0.6*0.8 =3D 0.88, as he has a 40% =
chance of
not being affected by the flue at all (in that case it doesn't matter
whether or not he is inoculated, he will not get sick at all) and a 60%
chance to be infected, but with 80% chance he is still protected due to =
the
inoculation.
=20
On the other hand, the prob for him to get sick is 0 + 0.6*0.2 =3D 0.12, =
as
there is no chance in case he is not infected at all and a 20% chance in
case he is infected, which occurs with prob =3D 0.6.
=20
So your three individual probabilties would be 0.528 + 0.048 + 0.072 =3D
0.648, which is my solution. I had the same result with two different
approaches over which I will not go into detail for brevity and not to =
cause
any confusion, but this is different from both your result and the =
result
given in the textbook.
=20
Please let me know what other ALLSTATERS wrote and whether they gave a
similar answer or found a way to reproduce the textbook's result.
=20
HTH,
Michael
_________________________________________
It's the same reasoning that you used:
=20
you wrote:
=20
Non-inoculated sick, inoculated non-sick: 0.6 X 0.8 =3D 0.48
=20
Non-Inoculated non-sick, inoculated sick: 0.4 X 0.2 =3D 0.08
=20
Both Sick: 0.6 X 0.2 =3D 0.12
=20
=20
Including my new probabilties for the inoculated, you get
=20
=20
Non-inoculated sick, inoculated non-sick: 0.6 X 0.88 =3D 0.528
=20
Non-Inoculated non-sick, inoculated sick: 0.4 X 0.12 =3D 0.048
=20
Both Sick: 0.6 X 0.12 =3D 0.072
=20
=20
Regards, Michael
________________________
I think this is a bad problem.
It is not clearly stated.
The solution is wrong.
=20
You (in my view correctly) read the first sentence of the problem to =
mean
that for a not inoculated person the probability of getting flu is
0.6 . It immediately follows that the probability of this person and/or =
any
other person getting flu is AT LEAST 0.6 .
So the answer 0.5952 is wrong.
=20
The problem is not clearly stated. I would have liked to know what is =
the
probability of being exposed during an epidemic.
If I assume it is 100%, like you did, I agree with the outcome of your
calculation as a normal common-sense interpretation of the text. Even =
then I
would have preferred a clearer problem text, something like "without
inoculation, 60% fall ill, of the inoculated, 20% fall ill"=20
where the denominator of the percent is not in doubt. Because the =
present
text leaves me guessing ... perhaps they meant that there was 80%
effectiveness among the 60% that would have fallen ill?
=20
But if the exposure rate among the whole population is 100% anyway, then
what about the whole condition "Suppose that they aren=3D92t in the same
place, they are not in contact with the same people and they can=3D92t =
be
infected between each other" . Then this is superfluous (superFLUous ;-) =
).
=20
Regards,
Peter Das
Netherlands
_____________________________________
With Respect
=20
=20
I thought the catch was that the inoculation reduces the chance of
getting flu by 80%, or 0.48, so that the inoculated have a chance of =
getting
sick of
0.12 not 0.2
=20
-but this gives me 0.528 + 0.048 + 0.072 =3D 0. 648
=20
=20
Note the textbook answer gives a probability of boh employees not =
being
sick of 0.4048, more than, the 0.4 both Mr Briceno and I took as the =
chance
of the non-inoculated employee not being sick.
=20
=20
Yours Sincerely,
Alan E. Dunne
________________________________
Actually, that should be "doubt about the given answer."
=20
I concur with the other two observed responders but would like to =
emphasize
the issue that Mr. (Dr.?) Dunne raises, which is the inherent illogic of =
the
textbook answer. Although I am too far removed from such exercises to be
trustworthy, it seems to me that, if the probability of non-illness of =
the
noninoculated person is .4, the probability of non-illness in both =
_cannot_
be greater than .4. Some law of nature that I seem to recall states: p(a =
and
b) <=3D p(a). I shall be much obliged to the person who can show this to =
be
wrong. Or inapplicable to the present exercise.
=20
Respectfully,
=20
Michael
____________________________
=20
=20
Regards
=20
Rodrigo Brice=F1o
=========================================================================
Date: Tue, 6 Sep 2005 17:22:27 +0100
Reply-To: Sue Richards <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sue Richards <[log in to unmask]>
Subject: JOB: statistician at CTSU, Oxford
Mime-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: Quoted-printable
University of Oxford
Medical Research Council (MRC)
CLINICAL TRIAL SERVICE UNIT
& EPIDEMIOLOGICAL STUDIES UNIT (CTSU)
MEDICAL STATISTICIAN/RESEARCH OFFICER
MRC Band 4: =A324,746 to =A330,945 p.a.
CTSU is a major international research institute working on determining th=
e
causes of cancer and heart disease and assessing the effectiveness of
treatments. CTSU helps to design, organise, administer and analyse nationa=
l
and international randomised trials in cancer and heart disease, and perfo=
rms
meta-analyses of trials using data on each individual patient.
An additional statistician is required to join a friendly team working on =
cancer
trials and meta-analyses. The work is varied and includes many projects
involving the integration of laboratory data with the main trial data, whi=
ch
provide information used in the design of future trials. For some diseases=
treatments are complex and the meta-analysis work requires careful statist=
ical
interpretation.
An MSc in medical statistics or equivalent is essential. Previous experien=
ce of
using statistical packages such as SAS or Stata is important, as well as t=
he
ability to write clear reports and to communicate results to collaborating=
clinicians. This post offers the opportunity to develop skills in applied =
medical
statistics, particularly survival analysis and meta-analysis.
Benefits include generous holidays and membership of the MRC's final
pension scheme. For further details and an application form see
http://www.ctsu.ox.ac.uk/~jobs/ or contact the Personnel Officer, Clinical=
Trial
Service Unit, Richard Doll Building, Old Road Campus, Roosevelt Drive,
Oxford OX3 7LF, tel. 01865 743881, [log in to unmask] quoting reference=
05/MRC3/SR. The closing date for applications is 30 September 2005.
[log in to unmask]
Tel: 01865-743863
Fax: 01865-743985
=========================================================================
Date: Tue, 6 Sep 2005 14:30:48 -0400
Reply-To: "Meucci, Attilio" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Meucci, Attilio" <[log in to unmask]>
Subject: t-cumulants
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: quoted-printable
Hi,
Does anyone know the expression of - or a reference for - the cumulants
of the t distribution=3F
Thank you,
Attilio
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Date: Tue, 6 Sep 2005 23:27:54 -0700
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Astro Workshop
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National Workshop
On
Statistical Analysis of Astronomical and
Astrophysical Data
December 21-23, 2005
Jointly organized by
Inter University Centre for Astronomy and
Astrophysics Pune
and
Department of Statistics Calcutta University
An introductory workshop on Statistical Analysis of
Astronomical and Astrophysical data will be held in
the Department of Statistics, Calcutta University
during December 21-23, 2005.
Interested persons from the fields of Mathematics,
Physics and Statistics may forward their applications
with short biodata (indicating name, gender, address,
affiliation,Present status, Food habit, Accommodation
required or not) to
Prof. Ajit Kembhavi or Dr. Asis Kr Chattopadhyay
IUCAA Department of Statistics
Post Bag 4, Ganeshkhind, Calcutta University
Pune 411 007 India 35Ballygunge Circular Road
E-mail:[log in to unmask] Kolkata 700 019 India
E-mail: [log in to unmask]
NB. There is no registration fee. Local hospitality
will be provided. Limited fund is available for travel
support.The last date for receiving application is
October 30, 2005
Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
__________________________________________________
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=========================================================================
Date: Wed, 7 Sep 2005 09:33:17 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Consumer Insight Analyst
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
My client works with consumers, companies and individuals throughout the=20
food and grocery chain to ensure they are providing information, research=20
and best practice to help companies grow their business and develop their=20
people. They are looking for a Consumer Insight Analyst to join their team=20
where you will be designing, conducting and analysing focus groups,=20
accompanied shops and other qualitative research outputs.=20
You will also be producing outputs from the research projects, whether=20
this is writing in the monthly subscription reports or a bespoke=20
powerpoint presentation to a client. You will have a degree in a=20
numerical, statistical or econometrics discipline at Class 2:1 or above=20
with upwards of 4 years experience in a similar role, ideally with=20
knowledge of the key issues which effect the food and grocery industry.=20
A knowledge of SAS, SPSS, S-PLUS or other Statistical Package is of great=20
interest along with Statistical Techniques such as Regression Analysis,=20
Segmentation Analysis, Clustering Analysis or similar is required. You=20
will have excellent communication skills and be able to present your=20
analysis in a non-technical format. Apply today for an interview!=20
Location: Hertfordshire
Salary: =A340K + car + excellent benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8974/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 7 Sep 2005 09:35:00 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Senior Analyst required!
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
My client works with consumers, companies and individuals throughout the=20
food and grocery chain to ensure they are providing information, research=20
and best practice to help companies grow their business and develop their=20
people. They are looking for a Senior Analyst where you will be=20
researching and writing business reports to keep the food and grocery=20
industry informed and help key people shape decisions. As a Retail Analyst=20
on their UK programme you will gain insight in to the food and grocery=20
industry in a way you never believed possible. You will network at the=20
highest level and manage projects to deliver your own objectives. You will=20
have a degree in a numerical, statistical or econometrics discipline at=20
Class 2:1 or above with upwards of 4 years experience in a Project=20
Manager, Retail Analyst role or similar, ideally with knowledge of the key=20
issues which effect the food and grocery industry. A knowledge of SAS,=20
SPSS, S-PLUS or other Statistical Package is of great interest along with=20
Statistical Techniques such as Regression Analysis, Segmentation Analysis,=20
Clustering Analysis or similar is required. You will have excellent=20
communication skills and be able to present your analysis in a non-
technical format. If you enjoy a challenge, love variety and working to=20
deadlines then apply here!=20
Location: Hertfordshire
Salary: =A340K + car + excellent benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8975/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 7 Sep 2005 09:57:38 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW CONTRACT VACANCY: SAS Clinical Programmer - European based (6
months++)
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstaters,
please find attached the latest contract vacancy for you to review;
TITLE: SAS Clinical Programmer
PURPOSE: To create programs and output for data management and biostatistics
for validation of data, for non statistical contributions of integrated
study reports and for other programming requests. Create data sets for
statistical analysis.
ROLE: Provide data output that correctly and accurately reflects data in
database according to reporting plan, develop validated standard programs
for general use, create standard structures for databases, provide SAS data
sets for statistical analysis and reports, develop customised programs for
single use and provide solutions for ad-hoc requests, support SAS users
within the company Europe wide & develop and improve programming guidelines
for Clinical Programmers /check compliance to these guidelines.
LOCATION: Mainland Europe
CONTRACT LENGTH: 6 months++
START DATE: ASAP, but they will wait for notice
RATE: Dependant on experience
If you are interested in this role please get in contact ASAP, if you are
not available / not interested but know someone who might be, please feel
free to pass my details forward.
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Wed, 7 Sep 2005 10:00:23 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW CONTRACT VACANCY: Principle Statistician (1 year UK based)
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstaters,
please find below details of the latest statistics contract vacancy;
TITLE: Principle Statistician
ROLE: A minimum of an M.S. - Statistics is required. Two to five years
statistical consulting experience, preferably in a laboratory science
environment is required. Strong statistics background with a good working
knowledge of linear, nonlinear, and multivariate statistics required. Other
desirable attributes include: Several years statistical experience
consulting and collaborating in a scientific environment, preferably with
pharmaceutical experience. Ability to balance many projects and clients
simultaneously. This problem-solver will be capable of technically
addressing unique statistical problems and possess the ability to provide
clear and technically sound, well-communicated guidance to non-statistician
clients. Pharmaceutical / biotechnology industry experience in assay
validation, quality control, process optimisation and validation, design of
experiments and pharmacokinetics required. Knowledge of appropriate
regulatory agency regulations and guidelines. Good team player -
contributing to project team goals and interacts with other statisticians at
other sites. The successful candidate will provide statistical support to
non-clinical areas of R&D, especially in the area of toxicology. Collaborate
with scientists to plan meaningful experimental studies, statistically
analyse the results of those and other studies and communicate the results.
Develop / deliver statistical training modules to meet the needs of the
scientific community.
CONTRACT LENGTH: 1 year minimum
RATE: Dependant on experience
START DATE: ASAP, but they will wait up to two months for the right
candidate
LOCATION: UK based
If you are interested in this role please get in contact ASAP, if you are
not available / not interested but know someone who might be, please feel
free to pass my details forward.
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Wed, 7 Sep 2005 10:09:21 +0100
Reply-To: "Balding, David J" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Balding, David J" <[log in to unmask]>
Subject: JOB: computational statistics applied in population genomics
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Imperial College London
St Mary's Campus Paddington
POST-DOCTORAL RESEARCH ASSOCIATE
Computational Statistics in Population Genomics
Salary =A322,870-=A329,090 inclusive of London Allowance
This appointment is for three years, starting 1 October 2005 (later by
agreement)
The post is funded by an EPSRC grant aimed at developing and applying
computational statistics methods for exploiting the large new datasets
that are now arising in population genomics. Recently, several
promising new methods have arisen that replace calculation of the
likelihood function by a simulation-based approximation, either in a
rejection- or importance-sampling setting, or within Markov Chain
Monte Carlo. This is especially useful when there are a lot of data
and models that are complex yet easy to simulate from. This situation
arises in population genomics, in which genome-wide datasets from
humans and other organisms are now routinely being collected, and the
simulations involve some or all of the demographic history of the
underlying population. The post-holder will have opportunities to
explore other application areas, for example in infectious disease
epidemiology.
The postholder's main tasks will be to develop and test new
statistical methods, guided by the project leader Professor David
Balding, in the Department of Epidemiology and Public Health at the St
Mary's, Paddington, campus of Imperial College, see =
www.icbiostatistics.org.uk. =20
S/he will also work closely with Dr Mark Beaumont, of the School of =
Animal and
Microbial Sciences at the University of Reading, who is a collaborator
on the project and will be supervising a PhD student investigating
novel applications of the methodology developed by the postholder.
The successful applicant will have a PhD in computational statistics
or related field (statistics, mathematics, bioinformatics, population
genetics, computer science). The level of appointment will be
commensurate with skills and relevant research experience.
Further details and an application form can be obtained from
http://www.imperial.ac.uk/employment alternatively write to the
Recruitment Assistant, Human Resources Division, Medical School
Building, Imperial College London, St Mary's campus, Norfolk Place,
London W2 1PG, quoting reference: MJ105/05.
Closing date: Tuesday 27 September 2005
=20
=========================================================================
Date: Wed, 7 Sep 2005 02:52:11 -0700
Reply-To: Omar Farook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Omar Farook <[log in to unmask]>
Subject: multiple regression analysis
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Dear Friends.
I have a multiple regression analysis with the figures below.
Sample size =12.
R2 79%.
adjusted R2 41.4%.
because of the small sample used , statisticians suggest to report the adjusted R2 instead of R2 because with a small sample R2 value tends to be rather optimistic, i.e. overestimation of the true value in the population.
Are they leading me to the correct way?
I will be very appreciate if you support your answers with some references.
thanks in advance
Omar.
[log in to unmask]
---------------------------------
Click here to donate to the Hurricane Katrina relief effort.
=========================================================================
Date: Wed, 7 Sep 2005 11:50:16 +0100
Reply-To: Martyn Byng <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Martyn Byng <[log in to unmask]>
Subject: Reference to article / book about presenting statistics
MIME-Version: 1.0
Content-Type: text/plain
Hi,
Does anyone have any references for guidelines on tabulating statistics.
I am primarily thinking of advice along the lines of "it is easier to make
comparison across columns than between rows".
Thanks
Martyn
________________________________________________________________________
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Date: Wed, 7 Sep 2005 06:30:22 -0500
Reply-To: "Suzanne M. Leal" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Suzanne M. Leal" <[log in to unmask]>
Subject: Advanced Gene Mapping Course - Rockefeller
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Advanced Gene Mapping/Linkage Course
The Rockefeller University, New York
Monday through Friday, December 12-16, 2005
An advanced linkage course will be held in New York from Monday through
Friday December 12-16, 2005. The cost of the 5-day course is $100
(supported by a grant from the National Human Genome Research Institute).
This fee covers tuition and course related expenses (handouts, etc.) but
not room and board.
The maximum number of participants is 20. The course will take place in
the teaching room of the Weiss Building at The Rockefeller University,
which is equipped with desktop PCs. The course is wheel chair accessible.
Emphasis in this course is on the analysis of complex disease traits. It
will include theory as well as practical exercises. The exercises will be
carried out using a variety of computer programs. TOPICS include: sib
pair analysis (quantitative and qualitative traits); non-parametric method
for analyzing extended family pedigree data; error detection in pedigree
data; association studies - population and family based; construction of
haplotypes, linkage disequilibrium, evaluating power and significance
levels for genetic studies and variance components analysis. The
instructors for the course are: Goncalo Abecasis, Laura Almasy, David
Clayton, Heather Cordell and Suzanne Leal.
Six travel stipends of $1,200 each are available to eligible participants
from U.S. institutions.
For additional information, course schedule and application please visit
the course website at:
http://linkage.rockefeller.edu/suzanne/advanced_course_dec05.html
=========================================================================
Date: Wed, 7 Sep 2005 17:29:05 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patrick Kelly <[log in to unmask]>
Subject: One-day symposium: The analysis of repeated binary and ordinal
data in clinical trials
Comments: To: "Anzstat (E-mail)" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1";
reply-type=original
Content-Transfer-Encoding: quoted-printable
Apologies for cross-posting.
One-day Symposium:
The analysis of repeated binary and ordinal data in clinical trials
Wednesday 2 November 2005
Medical and Pharmaceutical Statistics Research Unit
The University of Reading, UK
Speakers:
Kim Bolland (Senior Research Fellow, The University of Reading)
Mike Kenward (Professor of Biostatistics, London School of Hygiene and=20
Tropical Medicine)
Gordon Murray (Professor of Medical Statistics, University of Edinburgh)
Bart Spiessens (Biostatistician, GlaxoSmithKline Biologicals, Belgium)
Summary:
This one-day symposium examines different statistical methods that can be=
=20
used to analyse repeated binary or ordinal data. The meeting will start w=
ith=20
an introduction of the issues faced with analysing such data in clinical=20
trials. An overview of the different methods that are currently available=
=20
will be given. The introduction will be followed by presentations concern=
ing=20
specific methods, such as the subject-specific model, the Generalised=20
Estimating equations (GEE) model, and use of a sliding dichotomy. Plenty =
of=20
time will be allocated to questions and discussion throughout the day.
The symposium will be of interest to statisticians who would like to lear=
n=20
about repeated binary or ordinal data for the first time, or who are alre=
ady=20
working with these types of data.
Registration:
=A375 (academic rate =A335)
Includes lunch and refreshments
For further details:
Visit www.rdg.ac.uk/mps and click on the link to "Symposium"
or
contact Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240,
Earley Gate,
Reading RG6 6FN, UK
Tel: +44 118 378 6662
Fax: +44 118 975 3169
e-mail: [log in to unmask]
=========================================================================
Date: Wed, 7 Sep 2005 17:29:05 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patrick Kelly <[log in to unmask]>
Subject: One-day symposium: The analysis of repeated binary and ordinal
data in clinical trials
Comments: To: "Anzstat (E-mail)" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1";
reply-type=original
Content-Transfer-Encoding: quoted-printable
Apologies for cross-posting.
One-day Symposium:
The analysis of repeated binary and ordinal data in clinical trials
Wednesday 2 November 2005
Medical and Pharmaceutical Statistics Research Unit
The University of Reading, UK
Speakers:
Kim Bolland (Senior Research Fellow, The University of Reading)
Mike Kenward (Professor of Biostatistics, London School of Hygiene and=20
Tropical Medicine)
Gordon Murray (Professor of Medical Statistics, University of Edinburgh)
Bart Spiessens (Biostatistician, GlaxoSmithKline Biologicals, Belgium)
Summary:
This one-day symposium examines different statistical methods that can be=
=20
used to analyse repeated binary or ordinal data. The meeting will start w=
ith=20
an introduction of the issues faced with analysing such data in clinical=20
trials. An overview of the different methods that are currently available=
=20
will be given. The introduction will be followed by presentations concern=
ing=20
specific methods, such as the subject-specific model, the Generalised=20
Estimating equations (GEE) model, and use of a sliding dichotomy. Plenty =
of=20
time will be allocated to questions and discussion throughout the day.
The symposium will be of interest to statisticians who would like to lear=
n=20
about repeated binary or ordinal data for the first time, or who are alre=
ady=20
working with these types of data.
Registration:
=A375 (academic rate =A335)
Includes lunch and refreshments
For further details:
Visit www.rdg.ac.uk/mps and click on the link to "Symposium"
or
contact Barbara Dodds
MPS Rese
______________________________________________________________________
This email has been scanned by the MessageLabs Email Security System.
For more information please visit http://www.messagelabs.com/email=20
______________________________________________________________________
=========================================================================
Date: Thu, 8 Sep 2005 09:50:36 +0100
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: RSS CPD Workshops - Applied Multilevel Modelling - 5 & 6 October
2005
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
There are still a few places on the:
> APPLIED MULTILEVEL MODELLING WORKSHOPS
>=20
> The Royal Statistical Society=20
> 12 Errol Street, London, EC1Y 8LX
>=20
> Wednesday 5 October 2005 (09.30 - 18.00 hrs)=20
> and
> Thursday 6 October 2005 (09.30 -18.00 hrs)=20
>=20
> The Royal Statistical Society will be running an Applied Multilevel =
Modelling workshop on Wednesday 5 October 2005 and will repeat the same =
workshop on Thursday 6 October 2005. N.B. These are two separate, =
stand-alone 1-day workshops. Participants are invited to attend on =
either 5 or 6 October 2005.=20
>=20
> The aim of this workshop is to introduce the basic theory, general =
techniques and applications of multilevel models. Participants should =
have a sound knowledge of regression analysis and experience of using =
statistical modelling software. The latest release of the MLwiN =
software, version 2.1, will be used.=20
>=20
> Both workshops are held under the auspices of the Royal Statistical =
Society and will be led by Professor Harvey Goldstein and Dr. Fiona =
Steele, University of Bristol.=20
>=20
> Preliminary timetable:
> 09.30 - 10.00 Registration (refreshments)=20
> 10.00 - 10.30 Introduction to multilevel modelling
> 10.30 - 11.00 Random intercept, random slope models and residual =
estimates
> 11.00 - 11.15 Break (refreshments)=20
> 11.15 - 12.00 Repeated measures and multivariate data models
> 12.00 - 13.00 Generalised linear (discrete response) multilevel =
models
> 13.00 - 14.00 Lunch
> 14.00 - 14.30 MCMC (Markov Chain Monte Carlo) introduction
> 14.30 - 15.00 MCMC estimates for multilevel models
> 15.00 - 15.45 Bootstrapping for multilevel data
> 15.45 - 16.15 Break (refreshments)=20
> 16.15 - 17.00 Non hierarchical multilevel models I: =
Cross-classifications=20
> 17.00 - 17.45 Non hierarchical multilevel models II: Multiple =
membership structures=20
> 17.45 - 18.00 Resume and general discussion=20
>=20
> The workshop fee is as follows:=20
>=20
>=20
> =A3275 for non RSS fellows (non-academic) =A3190 for non RSS fellows =
(academic)
> =A3235 for RSS fellows (non-academic) =A3135 for RSS fellows =
(academic)
> =A3210 for CStats (non-academic) =A3120 for CStats (academic)=20
>=20
>=20
> The CStat rate applies to MIS, FIS and GradStat. All cited fees =
include lunch, teas and coffees. =20
>=20
> N.B. Workshop participants are entitled to purchase MLwiN at the =
discounted rate of =A3440: (excluding VAT). Academics are entitled to an =
academic discount of 40% on this price.
>=20
> Places will be allocated on a first-requested-first-allocated basis. =
Application forms are available at http://www.rss.org.uk/cpd (see =
information on CPD opportunities) or on request from Debra Hurcomb, =
Theme Manager, Education at the RSS on Tel: 020 7614 3934/e-mail: =
[log in to unmask] Thank you in advance.=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
=========================================================================
Date: Thu, 8 Sep 2005 12:41:48 +0100
Reply-To: "Kulinskaya, Elena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kulinskaya, Elena" <[log in to unmask]>
Subject: JOB: statistical consultant, Imperial College London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Statistical Consultant=20
(Statistical Advisory Service, www.ic.ac.uk/stathelp)
Faculty of Medicine
=A326,120 - =A333,330 per annum (inclusive of London Allowance)
The mission of the Statistical Advisory Service of Imperial College is =
to enhance the quality of research within the college by providing =
excellent statistical advice to research staff and students throughout =
the college.
This new post represents an expansion of the Service, following its =
successful inauguration during early 2004. We are now seeking a new =
consultant to work with the Director and two existing statistical =
consultants. Suitable candidates will have strong experience in applied =
statistics, in addition to communication and problem-solving skills. =
Preference will be given to applicants with expertise in the statistical =
analysis of data generated by contemporary computer-intensive =
investigative methods in genomics and related fields, including one or =
more of large-scale SNP or DNA sequence data, micro-arrays, proteomics =
and metabonomics.=20
The appointment will be for two years in the first instance, though =
further extension is expected.
To obtain an application form and further details go to =
www.imperial.ac.uk/employment/administrative, Alternatively write to the =
Recruitment Assistant, Human Resources Division, Imperial College, Royal =
Brompton Campus, Dovehouse Street, London SW3 6LY quoting reference =
number RJ46-05.=20
Closing date: 7 October 2005
For informal enquiries please contact Dr Elena Kulinskaya, =
[log in to unmask]
=========================================================================
Date: Thu, 8 Sep 2005 15:09:12 +0100
Reply-To: David Firth <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Firth <[log in to unmask]>
Subject: SEMINAR: at Warwick, Cristiano Varin on Composite Likelihood
Mime-Version: 1.0 (Apple Message framework v622)
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University of Warwick CRiSM / Dept of Statistics
and
ESRC National Centre for Research Methods, Lancaster-Warwick node
SEMINAR
--
Monday 19 September, 2pm
Dr CRISTIANO VARIN (Padua)
"Composite Marginal Likelihood Inference"
In a number of applications, the presence of large sets of correlated
data or the specification of complex models make unfeasible the use of
the likelihood function, since too computationally demanding. One
possibility is to avoid ordinary likelihood methods, or Bayesian
strategies, and to adopt simpler pseudolikelihoods, like those
belonging to the composite likelihood class. A composite likelihood
consists in a combination of valid likelihood objects typically related
to small subsets of data. It has good theoretical properties and it
behaves well in many challenging applications. Examples include spatial
statistics, multivariate survival analysis, generalized linear mixed
models, frailty models, genetics.
In this talk, I will discuss the main properties of composite marginal
likelihoods, like the pairwise likelihood and its extensions. Time
series applications will be considered.
--
All welcome. See http://www.warwick.ac.uk/go/crism/news/seminars for
more information.
=========================================================================
Date: Thu, 8 Sep 2005 16:41:37 +0100
Reply-To: "S Gillman, Social Medicine" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "S Gillman, Social Medicine" <[log in to unmask]>
Subject: Short Courses - University of Bristol
MIME-Version: 1.0
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Dear All
We have now published our 2005/06 courses. Please have a look on the site
for all statistics related courses:
http://www.epi.bris.ac.uk/shortc/shortc.htm
We have an Introduction to Stata course running on 29-30th September with a
limited number of places left. If you are interested please let me know
asap.
Kind regards
Sarah Gillman
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
=========================================================================
Date: Thu, 8 Sep 2005 16:50:51 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Courses, October 2005
MIME-Version: 1.0
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We are re-announcing three courses, which are scheduled to take place in
October 2005. Summary information is given below. For more detailed
information and registration forms please see http://www.ssc.rdg.ac.uk
providing your address and/or fax number or email
[log in to unmask]
***Fitting General Linear Models***
Date: 10-11 October 2005. Duration: 2 days. Price: 540 GBP. (Fee of =A31=
250
for attending this course and Analysis of Mixed Models (10-14 October
2005)).
General Linear Models (GLMs) form a unified underlying theory that covers
simple and multiple linear regression techniques and general analysis of
variance procedures for balanced and unbalanced data. An essential featu=
re
is the use of a normally distributed residual or error term.
This course will briefly present the theory of general linear models and
discuss their application and interpretation in problems of agriculture,
biological and medical sciences and in pharmaceutical work. Many example=
s
will be used to illustrate a wide range of GLMs. Practical sessions, bas=
ed
on SAS or GenStat, will help participants understand the ideas involved.
***Analysis of Mixed Models***
Dates: 12-14 October 2005. Duration: 3 days. Price: 810 GBP. (Fee of 125=
0
GBP for attending this course together with Fitting General Linear Models
(10-14 October 2005)).
Mixed Models have both fixed and random effects. Such models arise when
treatments are a random selection from a wider group and when data are
collected from the multi-strata structure with different levels of
variability.
Practical situations where such experimental data arise are many. For
example, in a clinical trial to evaluate the effectiveness of two drugs, =
the
drugs may be administered to patients from a random selection of hospital=
s
with a view to generalising the conclusions to patients from all hospital=
s.
In environmental studies, random locations within randomly selected sites
may be measured for soil and environmental characteristics. Models for s=
uch
situations will be fitted using the SAS MIXED procedure. Interpretation =
of
MIXED output will be covered in lectures and computer practical sessions.
***Introduction to Survival Analysis***
Date: 17-19 October 2005. Duration: 3 days. Price: 840 GBP (includes
textbook).
Survival data arise in a literal form from trials concerning
life-threatening conditions, but the methodology can also be applied to
other waiting times such as the duration of pain relief. This course
discusses both the design and analysis of clinical trials in which respon=
se
variable is a survival time.
During lectures the statistical package SAS will be used to illustrate th=
e
methodologies, and in practical sessions participants will analyse and
report on the results of a simulated clinical trial. Considerable emphas=
is
is placed on practical work and the interpretation of models, but some
underlying theory will also be explained as appropriate.
*************************************************************************=
***
Please note that courses may not run if fewer than six people have
registered three weeks before the course is scheduled to take place.
*************************************************************************=
***
Valerie Walker
Short Course Administrator
Statistical Services Centre
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Thu, 8 Sep 2005 17:01:51 +0100
Reply-To: "Kulinskaya, Elena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kulinskaya, Elena" <[log in to unmask]>
Subject: short courses in statistics at Imperial College
MIME-Version: 1.0
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Dear All
We have the 5-day program of SPSS-based courses in statistics running on =
19-23rd September with a=20
limited number of places left.=20
The programme encompasses the introduction and the=A0intermediate =
courses in statistics using the SPSS. It is possible to take the entire =
course, the introduction part only or the intermediate part only.
If you are interested please let me know ASAP.
All our courses in statistics and statistical software (SPSS, STATA, =
MATLAB) are on our website:
http://www3.imperial.ac.uk/portal/page?_pageid=3D43,66121&_dad=3Dportalli=
ve&_schema=3DPORTALLIVE
Kind regards,
Elena Kulinskaya
[log in to unmask]
=========================================================================
Date: Thu, 8 Sep 2005 17:39:44 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: FW: JOB: CONTRACT STATISTICIAN
Comments: To: "[log in to unmask]" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT STATISTICIAN
=20
Salary: GBP 45ph, DOE=20
=20
Business Type: Biotechnology Company, Clinical Research Organisation,
Contract Research Organisation, Drug Development Company, Healthcare
Company, Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Interim/Temporary=20
Location: United Kingdom=20
=20
Background:=20
=20
My client has an opening for an experienced statistician to work within
a Global Pharmaceutical for an initial six month period. Candidates
require 5-6 years industry experience working in the pharmaceutical/CRO
arena, reporting clinical trials. A post graduate degree would be
preferable. Immediate availability would be an advantage but not
essential.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent.=20
=20
To apply, please reply with an up to date CV attached quoting the
reference 'grv-2771'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=20
=========================================================================
Date: Thu, 8 Sep 2005 17:44:19 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: FW: JOB: CONTRACT: SAS Programmer
Comments: To: "[log in to unmask]" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: SAS Programmer
=20
Salary: EURO circa 65ph, DOE=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
Working within a biostatistics team of 12 reporting direct to the Head
of department, you will be required to work on assigned projects
alongside the lead statistician. My client is a full service CRO so a
broad range of therapeutics and phases would be preferable. Candidates
must have 2+ yrs in a clinical programming position with expertise in
working with SAS. Fluency in English is essential. The contract will be
for an initial 12 months.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3581'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 9 Sep 2005 00:43:43 +0100
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: stats course in Livorno, Italy
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Apologies for cross-posting.
We would like to announce a 5-day statistics course in Livorno, Italy
Course material is based on:
"The Analysis of Ecological Data", by Zuur, AF, Ieno, EN. and Smith, GM.
(Forthcoming). 700 p.
When: Monday 24 October until Friday 28 October 2005
Where: C.I.B.M. (Centro Interuniversitario di Biologia Marina) and
A.R.P.A.T. (Agenzia Regionale per la Protezione
Course: "Analysing Biological and Environmental Data -Using Univariate
Analysis and Multivariate Time Series Analysis -".
Open to: Anyone.
Main topics:
-GLM & GAM (plus an intro how GAM can be used for time series; GAMM)
-Multivariate time series analysis (common trends, dynamic factor analysis,
etc.)
Course flyer: www.brodgar.com
Price: 600 Euro per student and 800 Euro per non-student. There is no
further tax.
Kind regards,
Alain
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: [log in to unmask]
URL: www.highstat.com
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate analysis
and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and multivariate
time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software
=========================================================================
Date: Fri, 9 Sep 2005 08:47:14 +0100
Reply-To: Kevin Glazebrook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Glazebrook <[log in to unmask]>
Subject: new contact details
Comments: cc: [log in to unmask]
MIME-Version: 1.0
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Dear Colleagues,
This is an efficient way of letting as many of my friends and colleagues know
that, as from September 21, I shall be at Lancaster University where I will be
affililiated to two departments, namely
Mathematics and Statistics,
and
Management Science.
I am advised that my new e-mail address is very likely to be
[log in to unmask] but in any event e-mail will be automatically
forwarded from Edinburgh.
Best wishes, Kevin Glazebrook
=========================================================================
Date: Fri, 9 Sep 2005 09:36:48 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Courses October 2005
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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We are re-announcing two courses, which are scheduled to take place in
October 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or
email [log in to unmask]
A Review of Basic Statistics
^^^^^^^^^^^^^^^^^^^^^^^
Dates: 3-4 October 2005. Duration: 2 days. Price: 460GBP (Fee of 690
GBP for attending this course together with Regression Analysis: A Hands-
on Approach (3-5 October)).
This course builds up the basic ideas of statistics systematically and
quickly. It provides an introduction to methods of summarising and
presenting data, estimation, confidence intervals and hypothesis testing.
Mathematical details will be kept to a minimum. A wide choice of
statistical software is available for practical work.
Regression Analysis: A Hands-on Approach
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 5 October 2005. Duration: 1 day. Price: 245GBP.
(Fee of 690GBP for attending this course together with A Review of Basic
Statistics (3-5 October)).
Regression is a powerful technique for studying relationships between
quantitative variables. Summarising relationships by the most appropriate
equation (modelling) is very quick when using a statistical package. It is
also easy to progress from basic models to more complex situations, such as
comparison of regressions.
This course gives a practical introduction to regression techniques.
Valerie J Walker
Short Courses & SIAC e-learning Administrator
Statistical Services Centre
School of Biological Sciences
The University of Reading
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Fri, 9 Sep 2005 09:46:29 +0100
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: CAMBRIDGE STATISTICS DISCUSSION GROUP
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Tuesday 4th October 2005 7:15 for 7:45
Large Lecture Theatre,
Cognition and Brain Sciences Unit,
Chaucer Road, Cambridge
Bayesian methods for Population Ecology
Steve Brooks
Statistical Laboratory
University of Cambridge
Abstract:
The Bayesian revolution has been slow to take off in the ecological
literature, but there are many advantages to adopting these powerful new
statistical methods. In this talk we will highlight some of the important
ecological issues that have been addressed using Bayesian computational
techniques and highlight the advantages and challenges in using them.
The talk will be illustrated by a number of cases studies incorporating
recent and current research.
Speaker:
Steve graduated in mathematics at Bristol in 1991 before taking a Masters
degree in Statistics at the University of Kent. He stayed on at Kent
for a year as a Research Assistant, under the supervision of Professor Byron
Morgan. During that year (1992-93) Steve helped set up The Minitab Macro
Library and produced a number of papers.
After leaving Kent, he joined the Statistical Laboratory at the University of
Cambridge. There he studied for a PhD on Markov Chain Monte Carlo Methods,
under the supervision of Prof. Gareth Roberts. Whilst at Cambridge, he wrote a
couple of papers on MCMC. Since graduating, Steve has been a member of
the Statistics Groups at Bristol and Surrey universities and is now back
at the Statistical Laboratory in Cambridge. In 1999 Steve was awarded the
Royal Statistical Society's Research prize.
Research interests focus upon the development and application of
computationally intensive methods in Statistics. Application areas include
archaeology, biology, ecology, epidemiology, economics and engineering.
Annual General Meeting: Steve's talk will be preceded by a brief
Annual General Meeting.
Directions: Chaucer Road is off Trumpington Road - if you are heading
away from the city centre it is the first right after the junction
with Brooklands Avenue. Number 15 is at the end on the left and is a
large Victorian House with a more modern extension to its right.
The entrance is in the porch located in the middle of the older section on
the left as you come in and is accessed by ascending a few steps from the
car park. Cars may be parked there. The outside door will be locked at 7:45.
Arrivals after 7:45 may gain admittance admittance by contacting the
secretary on 07761769436.
Next Meeting:
30th November - Joe Perry, Suzanne Clark (Rothamstead) & Peter Rothery (CEH)
on 'Design of experiments and analysis of data concerning GM crops'.
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 5-45pm. Feel free to join them.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;
E-mail [log in to unmask]
FOR SECURITY PURPOSES COULD ANYONE INTENDING TO ATTEND THE MEETING PLEASE
LET PETER WATSON KNOW.
=========================================================================
Date: Fri, 9 Sep 2005 12:02:43 +0100
Reply-To: "Bonellie, Sandra" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Bonellie, Sandra" <[log in to unmask]>
Subject: JOB: Research Assistant
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Napier University
Business School, Centre for Mathematics and Statistics
Research Assistant
1 Year Fixed Term Contract
Salary: =A319.461 - =A324,821
Applications are invited for a one-year research assistant post funded by=
=20the Chief Scientists Office to assist with the statistical analysis of=
=20data on a project investigating the changing influences of maternal so=
cial deprivation and fetal gender on pregnancy outcomes in Scotland =
=20 =20
You will have a post-graduate qualification in statistics with appropriat=
e analytical skills and proven ability to present reports. A good command=
=20of SAS programming is essential.
For further information please contact Dr Sandra Bonellie=20
Telephone 0131 455 2474
Email [log in to unmask]
For Application forms and further particulars please contact
Myra Blair telephone 0131 455 4301
Email [log in to unmask]
This message is intended for the addressee(s) only and should not be read=
, copied or disclosed to anyone else outwith the University without the p=
ermission of the sender.
It is your responsibility to ensure that this message and any attachments=
=20are scanned for viruses or other defects. Napier University does not a=
ccept liability for any loss
or damage which may result from this email or any attachment, or for erro=
rs or omissions arising after it was sent. Email is not a secure medium. =
Email entering the=20
University's system is subject to routine monitoring and filtering by the=
=20University.=20
=========================================================================
Date: Fri, 9 Sep 2005 14:28:34 +0100
Reply-To: Gillian Sinclair <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gillian Sinclair <[log in to unmask]>
Subject: NCeSS Fellowships available
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Apologies for Cross Posting
ESRC National Centre for e-Social Science (NCeSS) Visiting Research=20
Fellowships Scheme Announced
The NCeSS hub hosts a programme of visiting research fellowships in e-
social science. The scheme allows scholars to make an extended visit to=20
the NCeSS hub at the University of Manchester to explore how e-science=20
might benefit their own social science research. Fellows have the=20
assistance of the NCeSS hub team of social scientists, computer scientists=20
and Manchester Computing specialist support staff to advise them in=20
complementing the NCeSS research programme by investigating how Grid=20
technologies might provide new approaches to addressing their social=20
science research questions.
Please note that this scheme is open to both UK and international=20
applicants.
See http://www.ncess.ac.uk/research/fellowships/ for more details and how=20
to apply.
Second International Conference on e-Social Science, 28th =96 30th June 2006=
This conference will be held in Manchester, UK and will follow on from=20
this years very successful event. More details will follow shortly=20
regarding paper submissions etc. Please subscribe to our mailing list=20
(http://www.ncess.ac.uk/newsletter/) if you would like to be kept up to=20
date with conference news.
In the mean time the proceedings from the 2005 conference are available=20
from our website http://www.ncess.ac.uk/events/conference/programme/
Agenda Setting Workshop on Social Simulation
There will an ASW on Social Simulation on the 26th of October at the=20
University of Manchester. Further details can be found on our website at:=20
http://www.ncess.ac.uk/events/agenda/
Dr Gillian Sinclair
Programme Manager
ESRC National Centre for e-Social Science=20
University of Manchester=20
Dover Street Building=20
Dover Street=20
Manchester
M13 9PL
UK
Email: [log in to unmask]
Web: http://www.ncess.ac.uk
=========================================================================
Date: Fri, 9 Sep 2005 15:27:24 +0100
Reply-To: Goran Peskir <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Goran Peskir <[log in to unmask]>
Subject: Positions in Statistics
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Please bring the following two positions to the attention of anyone
who might be interested:
--> Chair in Statistics
-------------------
--> Lecturer/Senior Lecturer in Statistics
--------------------------------------
School of Mathematics, the University of Manchester.
---------------------------------------------------
For details see http://www.man.ac.uk/news/vacancies/academic.html#EPS200.
=========================================================================
Date: Fri, 9 Sep 2005 16:17:25 +0100
Reply-To: Dr Anthony Robinson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dr Anthony Robinson <[log in to unmask]>
Subject: Job: Lectureship in Probability
There is an opportunity for a fixed-term (5 years) Lectureship in
Probability in the Department of Mathematical Sciences at the University of
Bath, UK.
Details may be found at:
http://www.jobs.ac.uk/jobfiles/PV520
=========================================================================
Date: Fri, 9 Sep 2005 17:34:53 +0100
Reply-To: George Vernon <[log in to unmask]>
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<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Senior Statistician
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Senior Statistician
=20
Salary: GBP circa 45ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
You will be required to write the statistical section for all related
protocols. As well as writing the statistical analysis plans into study
design and sample size estimation. You may also take the responsibility
for the reporting of clinical trials, including tables, figures, listing
programming and analysis. Candidates require 4+ years in a Clinical
statistics position with knowledge of SAS. My client will wait for
notice periods if required.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-4672'.
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 9 Sep 2005 17:32:37 +0100
Reply-To: Andy Hart <[log in to unmask]>
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From: Andy Hart <[log in to unmask]>
Organization: Central Science Laboratory
Subject: JOB - Senior Quantitative Risk Analyst =?windows-1252?Q?=96?= Ec
o/Health
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: quoted-printable
Senior=20Quantitative=20Risk=20Analyst=20=96=20Assessing=20Ecological=20an=
d=20Health=20Risks
The=20Central=20Science=20Laboratory=20(CSL)=20is=20an=20Executive=20Agenc=
y=20of=20the=20UK=20
Department=20for=20Environment,=20Food=20and=20Rural=20Affairs=20(DEFRA).=20=
The=20Agency=20
provides=20policy=20advice=20and=20technical=20support=20underpinned=20by=20=
high=20quality=20
R&D=20to=20help=20DEFRA=20and=20other=20customers=20safeguard=20food=20sup=
plies,=20protect=20
consumers=20and=20the=20environment.
CSL=20is=20at=20the=20forefront=20of=20developing=20probabilistic=20method=
s=20for=20
assessing=20environmental=20risks=20of=20pesticide=20use=20in=20Europe=20a=
nd=20is=20rapidly=20
applying=20similar=20approaches=20in=20other=20areas=20of=20its=20work,=20=
from=20wildlife=20
management=20to=20food=20safety.=20We=20now=20require=20a=20Senior=20Risk=20=
Analyst=20to=20lead=20
and=20carry=20out=20quantitative=20(or=20probabilistic)=20risk=20assessmen=
ts,=20
estimating=20levels=20of=20risk=20to=20human=20health=20and/or=20the=20env=
ironment=20from=20
chemicals=20and=20other=20stressors=20including=20quantification=20of=20va=
riability=20
and=20uncertainty.=20You=20will=20also=20be=20required=20to=20identify=20o=
pportunities,=20
network=20with=20potential=20customers,=20and=20prepare=20detailed=20proje=
ct=20proposals=20
in=20the=20human=20and/or=20environmental=20areas.
This=20is=20a=20permanent=20post=20at=20CSL=20Band=205,=20based=20in=20the=
=20Risk=20Analysis=20Team=20
at=20CSL=92s=20world-class=20laboratory=20facilities=20in=20a=20rural=20se=
tting=20near=20York,=20
UK.=20CSL=20is=20an=20Equal=20Opportunities=20Employer.=20We=20operate=20f=
lexible=20working=20
practices=20and=20the=20York=20site=20includes=20various=20staff=20facilit=
ies.
A=20degree,=20or=20equivalent=20qualification,=20plus=20a=20post-graduate=20=
degree=20(MSc,=20
Diploma=20or=20PhD)=20is=20required=20in=20a=20relevant=20subject=20such=20=
as=20statistics,=20
mathematics=20or=20science=20with=20a=20strong=20statistics/mathematics=20=
component=20
and=20at=20least=20three=20years=20experience=20in=20the=20application=20o=
f=20statistics=20or=20
mathematics=20in=20a=20relevant=20science=20area.=20Candidates=20without=20=
this=20level=20of=20
qualification=20will=20need=20a=20degree=20plus=20a=20minimum=20of=20six=20=
years=20relevant=20
experience.=20Experience=20in=20quantitative=20risk=20analysis=20in=20the=20=
fields=20of=20
environmental=20science=20and/or=20food=20safety=20is=20also=20essential,=20=
as=20is=20
experience=20in=20the=20use=20of=20relevant=20statistical=20methods=20and=20=
software.
For=20an=20application=20pack=20call=20+44=201904=20462302=20or=20email=20=
[log in to unmask]
Further=20information=20and=20an=20application=20form=20are=20also=20avail=
able=20on=20the=20
CSL=20Internet=20site=20at=20www.csl.gov.uk.=20For=20technical=20queries=20=
about=20the=20job=20
contact=20Andy=20Hart=20([log in to unmask]).
Closing=20date=20for=20applications=20is=2029=20September=202005.
The=20original=20of=20this=20email=20was=20virus=20scanned=20by=20the=20En=
ergis=20GSi=20Messagelabs=20service.=20On=20leaving=20the=20GSi=20this=20e=
mail=20was=20certified=20virus-free
=========================================================================
Date: Sat, 10 Sep 2005 15:12:57 +0100
Reply-To: Brandon Whitcher <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Brandon Whitcher <[log in to unmask]>
Subject: Job: Magnetic Resonance Image Modeller,
GlaxoSmithKline (multiple positions)
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A new UK-based research imaging centre, realising a bold idea
GlaxoSmithKline is partnering with Imperial College (University of London)
and the UK Medical Research Council to develop a new Clinical Imaging Centre=
(CIC) on the Hammersmith Hospital site in West London. This unique
partnership between academic scientists and the pharmaceutical industry has
been forged to develop and implement novel strategies for applying imaging
to better understand mechanisms of disease and therefore aid drug developmen=
t.
The main purpose of this job is to develop and apply
quantitative/statistical modelling techniques to GSK imaging studies to
order to inform drug development decisions and strategy.=20
The Mission
- To use the most advanced imaging tools to better define disease, identify
and measure drug targets locally within human tissues and organs.
- To find new ways to get safer and more effective medicines to patients
faster than has ever been possible before.
The Method
o Create a multi-disciplinary, intellectually vibrant and open scientific
environment in the heart of one of the UK's leading medical schools.
o Resource it as the most complete and modern clinical MRI, PET and optical
imaging laboratory in Europe.
o Support imaging with a strong radiochemistry facility linked to
GlaxoSmithKline=92s full compound library.
o Provide dedicated biology and image analysis laboratories, as well as
psychophysical testing areas.
As an Image Modeller you will
- Develop novel image analysis methodology and apply it to GSK imaging
studies to derive quantitative imaging endpoints.
- Implement novel methodologies in software in order to deliver quantitative=
analyses of GSK imaging data.
- Take a lead role in the design of imaging study protocols, including the
definition of analysis plans, to ensure proper experimental design and
appropriate analysis of the imaging data.
- Provide critical evaluation of quantitative summaries from imaging studies=
in order to present the quantitative results in the appropriate biological
context.
- Interact with staff from all disciplines working at the centre and across
therapeutic areas in the company.
- Publish image analysis research, both internally through writing reports
and giving presentations and externally through publications in high-quality=
scientific journals and presentations at international conferences.=20
Requirements
- PhD in a quantitative field (MSc with 3+ years of experience will also be
considered).
- Programming experience and proven ability to implement methodology in
relevant languages; e.g., C/C+, Fortran, Matlab, IDL, R/S.
- Experience in image analysis is preferred.
- Knowledge of MRI or PET is preferred.
If you want to be a part of a new, dynamic industrial-academic venture, then=
this could provide the rewarding career step you have been looking for! If
interested, please visit www.gsk.com/careers/gsk_frame-uk.htm and apply to
Req ID 27536. Do not respond via email.
----------
Brandon
Brandon Whitcher, PhD
Clinical Imaging Scientist
Translational Medicine & Genetics
GlaxoSmithKline
Greenford
United Kingdom
=========================================================================
Date: Mon, 12 Sep 2005 08:33:14 +0300
Reply-To: Joanna Moschandreas <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Joanna Moschandreas <[log in to unmask]>
Organization: University of Crete
Subject: QUERY: Semiometry
If anyone knows where I could find details about "Semiometry" (used in
psychology to measure emotional reaction to words(?)), please let me know.
I would be very grateful for any info on this topic.
Thanks,
Joanna
=========================================================================
Date: Mon, 12 Sep 2005 09:58:01 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: chi-square
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Content-Type: text/plain; charset="US-ASCII"
Hi,
I've always assumed that if I collapsed 2 or more rows/columns of an r X s
contingency table, the p value of the Pearson chi-square statistic will
only get larger, not smaller. Is this in fact always true?
Tim
=========================================================================
Date: Mon, 12 Sep 2005 09:57:42 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Miguel Goncalves <[log in to unmask]>
Subject: JOB: STATISTICAL OFFICER ? FOOD STANDARDS AGENCY
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STATISTICAL=20OFFICER=20?=20FOOD=20STANDARDS=20AGENCY
Fixed-term=20contract:=20ideally=20starting=20November=202005=20until=20Au=
gust=202006
SALARY:=20From=20=A320,000=20(pay=20award=20pending).
Central=20London
Food=20is=20one=20of=20the=20fastest=20moving=20consumer=20issues=20in=20t=
he=20UK.=20BSE,=20GM=20foods,
food=20labelling=20and=20organic=20foods=20are=20just=20some=20of=20the=20=
recent=20headline
stories.=20The=20Food=20Standards=20Agency=20is=20at=20the=20forefront=20o=
f=20protecting=20public
health.
Our=20Statistics=20Branch=20helps=20us=20discharge=20our=20statutory=20obl=
igation=20to
provide=20evidence-based=20policy.=20Statistical=20briefing=20and=20advice=
=20has=20a
critical=20role=20to=20play=20in=20helping=20to=20develop=20the=20Agency's=
=20policy=20responses
to=20identified=20risks=20and=20public=20concerns=20with=20regard=20to=20f=
ood=20safety=20and
standards.
You=20will=20be=20involved=20in=20providing=20and=20interpreting=20statist=
ical=20information
to=20underpin=20FSA=20policy.=20You=20will=20advise=20on=20the=20design,=20=
commissioning=20and
management=20of=20surveys=20to=20estimate=20nutritional=20content=20of=20f=
ood=20and=20monitor
foodborne=20chemicals;=20advise=20policy=20colleagues=20on=20statistical=20=
aspects=20of
external=20proposals=20for=20and=20results=20from=20Agency-funded=20resear=
ch=20projects;
provide=20ad=20hoc=20data=20analysis=20and=20advice=20on=20statistical=20m=
ethods=20to=20policy
colleagues.=20=20A=20statistician=20with=20a=20good=20degree=20in=20statis=
tics,=20mathematics,
or=20closely=20related=20discipline,=20your=20skills=20will=20include=20an=
=20appreciation=20of
fundamental=20aspects=20of=20good=20survey=20design,=20analysis=20and=20pr=
esentation=20of
results;=20and=20an=20aptitude=20for=20data=20handling=20and=20statistical=
=20computing.
We=20offer=202.5=20days=20paid=20leave=20per=20month=20and=20additional=20=
public=20and=20privilege
holidays.
To=20apply,=20please=20send=20us=20your=20CV=20and=20a=20covering=20letter=
=20stating=20your
suitability=20for=20the=20post=20by=20Friday=2023=20September=202005=20to:=
Miguel=20Gon=E7alves
Food=20Standards=20Agency
Aviation=20House
Room=20211c
125=20Kingsway
London=20WC2B=206NH
Or=20via=20email=20to:[log in to unmask]
For=20an=20information=20pack=20or=20an=20informal=20chat=20about=20the=20=
post=20please=20contact
Miguel=20Gon=E7alves=20on=20020=207276=208217=20or=20Clifton=20Gay=20on=20=
020=207276=208657.
The=20Food=20Standards=20Agency=20is=20an=20equal=20opportunities=20employ=
er=20and=20we=20are
committed=20to=20recruit=20a=20more=20diverse=20workforce=20that=20reflect=
s=20the=20people=20we
serve.=20We=20operate=20a=20Guaranteed=20Interview=20Scheme=20for=20people=
=20with
disabilities=20who=20meet=20the=20minimum=20published=20criteria.
Food=20Standards=20Agency=20(FSA)
For=20the=20latest=20food=20news=20and=20information=20visit=20=20www.food=
.gov.uk
This=20email=20and=20any=20attachments=20are=20intended=20for=20the=20name=
d=20recipient=20only.=20=20Unauthorised=20use,=20disclosure,=20storage=20o=
r=20copying=20is=20not=20permitted.=20=20If=20you=20have=20received=20this=
=20email=20in=20error,=20please=20destroy=20all=20copies=20and=20inform=20=
the=20sender=20immediately=20by=20return=20email.=20=20
The=20original=20of=20this=20email=20was=20scanned=20for=20viruses=20by=20=
the=20Government=20Secure=20Intranet=20(GSI)=20virus=20scanning=20service=20=
supplied=20exclusively=20by=20Energis=20in=20partnership=20with=20MessageL=
abs=20and=20on=20leaving=20the=20GSI=20this=20email=20was=20certified=20vi=
rus-free.=20=20However=20you=20should=20always=20use=20your=20own=20virus-=
scanning=20software=20to=20ensure=20mail=20and=20attachments=20are=20safe=20=
to=20open.=20=20
Communications=20on=20the=20FSA's=20computer=20systems=20may=20be=20monito=
red=20and/or=20recorded=20to=20secure=20effective=20operation=20of=20the=20=
system=20and=20for=20other=20lawful=20purposes.
=========================================================================
Date: Mon, 12 Sep 2005 10:17:10 +0100
Reply-To: Evan Kontopantelis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Evan Kontopantelis <[log in to unmask]>
Subject: finite population correction for reliability
Hello all.
I m trying to compute reliability scores for a dataset with nested variables
(i.e. questions within informants within organizations). The formula I am
using is:
P = var(org)/(var(org)+var(inf)/nj+var(e)/nj*K)
where
var(org): est organizational variance
var(inf): est informants within organizations variance
var(e): est error components of variance
nj: number of informants in org j (not number of people in the org)
K: number of questions asked
It does not seem logical to assume that we get the same reliability from 2
organizations with 5 informants each, when (for example) one employs 3 times
more people than the other. Does anybody know of a version of finite
population correction I can use?
If I use this formula (I made it up it's not a standard one)...
P = var(org)/(var(org)+var(inf)/nj*fpc+var(e)/nj*K*fpc)
(where fpc = sqrt(Nj-nj/Nj-1)and Nj: the number of people in organization j)
...I get a reliability score of 100%, if everybody in the organization is an
informant. This isn't acceptable either (or is it?)
Any ideas?
Thanks
Evan
=========================================================================
Date: Mon, 12 Sep 2005 10:52:45 +0100
Reply-To: Martyn Byng <[log in to unmask]>
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<[log in to unmask]>
From: Martyn Byng <[log in to unmask]>
Subject: Re: Reference to article / book about presenting statistics
MIME-Version: 1.0
Content-Type: text/plain
Thank you to everyone who replied to my query about references for
information on presenting statistics. Here is a summary of the different
references (in no particular order).
Martyn
<http://www.plainfigures.com/resources.html>
http://www.plainfigures.com/resources.html
<http://www.askoxford.com/betterwriting/osa/numberstablesandcharts/>
http://www.askoxford.com/betterwriting/osa/numberstablesandcharts/
<http://lilt.ilstu.edu/gmklass/pos138/datadisplay/goodtables.htm>
http://lilt.ilstu.edu/gmklass/pos138/datadisplay/goodtables.htm
<http://gsociology.icaap.org/methods/presenting.htm>
http://gsociology.icaap.org/methods/presenting.htm
<http://www.stat.fi/tk/tt/laatuatilastoissa/lm021200/pe_en.html>
http://www.stat.fi/tk/tt/laatuatilastoissa/lm021200/pe_en.html
<http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471101354.html>
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471101354.html
The Local Government Data Unit - Wales has produced a reference document on
'Presenting Data' that you may find useful. You can access it on our
website <http://www.dataunitwales.gov.uk/> www.dataunitwales.gov.uk , go
to 'support services' on the top bar, then 'supporting improvement', then
click on 'good practice guides' and finally, 'presenting data'. Chapter 3
is probably most relevant to you. (
<http://www.dataunitwales.gov.uk/eng/Project.asp?nc=FSNR&id=1175>
http://www.dataunitwales.gov.uk/eng/Project.asp?nc=FSNR&id=1175)
<http://www.edwardtufte.com/> www.edwardtufte.com
"The Visual Display of Quantitative
Information" by Edward Tufte. Graphics Press, 1983. Published in USA
"How to Lie With Statistics" by Darrell Huff,Irving Geis
"Plain figures" published by the Stationery Office [ISBN 0-11-702039-7] is
the standard reference
"Plain Figures" by Myra Chapman
Articles by Andrew Ehrenberg in the American Statistician
Ryder, K (1995) Guidelines for the presentation of numerical tables.
Research in Veterinary Science. 58, 1-4
Ehrenberg, Data reduction, Wiley 1975.
TUFTE, E, R., (1983) "The Visual Display of Quantitative Information".
Cheshire, Connecticut, Graphics Press.
Try 'Element of Statistics'. I do not remember the authors now but it
was the textbook for the Open Universtity.
Andrew S.C. Ehrenberg, especially the books called Data Reduction and Primer
in (or should that be "of"?) Data Reduction, both of which were published by
Wiley round about 1975-80. He also had an article in series A of the RSS
Journal, perhaps mid-1980s.
Title: Presenting Numbers, Tables and Charts
Authors: Sally Bigwood and Melissa Spore Publishers: Oxford University Press
ISBN: 0198607229
van Belle's "Statistical reules of thumb" has a nice chapter on the
different ways to present data.
'The problem of numeracy' from London Business school, by ASC Ehrenberg in
their 'Best professional practice' series. Also Ehrenburg, A primer in data
reduction Wiley is good on some of this.
________________________________________________________________________
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=========================================================================
Date: Mon, 12 Sep 2005 11:53:02 +0100
Reply-To: Max Blumberg <[log in to unmask]>
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<[log in to unmask]>
From: Max Blumberg <[log in to unmask]>
Subject: Cluster analysis for multivariate outlier identification?
MIME-Version: 1.0
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Hi
Can anyone please offer any advice, techniques or references for using
cluster analysis for identifying outliers in multivariate data?
The reason I am looking is that I have collected my data over the Internet
(1300 participants providing five NEO personality scales, 12 marital
satisfaction scales and one conflict scale). But at least one participant
has suggested that he has responded randomly and misleadingly. I therefore
wish to try and remove such cases.
Normal outlier detection is not effective as it is the multivariate cases
that cause the most trouble. Someone suggested that cluster analysis (a new
technique for me) would be effective for this.
Many thanks
Max
=========================================================================
Date: Mon, 12 Sep 2005 14:29:01 +0100
Reply-To: Richard Boys <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Richard Boys <[log in to unmask]>
Organization: University of Newcastle upon Tyne
Subject: JOB: Postdoc in Statistics at Newcastle, UK
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
POSTDOCTORAL RESEARCH POSITION IN STATISTICAL BIOINFORMATICS
A post-doctoral research position is available for 27 months to work
on an exciting multi-disciplinary research problem spanning systems
biology, statistical bioinformatics and computing science. The
ComparaGRID project is funded by the BBSRC Bioinformatics and
e-Science Programme II for a period of three years and started in
January 2005. The position is available from the end of September 2005
and arises due to the current postholder moving to a lectureship at
Lancaster University. Applicants should have (or be near to
completing) a PhD in Statistics, Mathematical Modelling, Computational
Biology or a related discipline. Knowledge of some of Bayesian
statistics, computational statistics, MCMC, software development,
GRID/web services, systems biology, molecular biology and genetics
would be advantageous, but training and support will be available as
required. The appointee will work primarily with Prof RJ Boys, Dr DJ
Wilkinson and Dr M Bhattacharjee (Lancaster) and be based in the
School of Mathematics & Statistics, joining active research groups in
Bayesian statistics and statistical bioinformatics. They will also
enjoy stimulating interaction with other bioinformatics and biological
modelling groups at Newcastle, especially the groups within the School
of Computing Science and the School of Clinical Medical Sciences.
Further information regarding the project can be obtained from the
project website
http://www.comparagrid.org/
The further particulars and application procedure can be found at
http://www.ncl.ac.uk/math/research/statistics/bioinformatics/job.htm
Informal enquiries and applications should be directed to
Prof Richard Boys, Tel: +44 (0)191 222 7297 (direct line),
Fax: +44 (0)191 222 8020, Email: [log in to unmask]
Depending on experience and qualifications, salary will be on the RA1A
scale: GBP 19,460 - GBP 25,699 per annum.
Closing Date: Friday, 30th September 2005
=========================================================================
Date: Mon, 12 Sep 2005 14:49:21 +0100
Reply-To: Patrick Kelly <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patrick Kelly <[log in to unmask]>
Subject: Short courses @ The University of Reading, UK, 24-28 October 2005
Comments: To: "Anzstat (E-mail)" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Re-announcement of short-course being offered by the Medical and =
Pharmaceutical Statistics Research Unit at The University of Reading UK, =
for the week beginning 24 October 2005:
1. Dose-escalation Procedures in Phase I Clinical Trials (2 days)
2. Analysis of Multiple Failure Time Data Arising from Clinical Trials =
(2 days)
3. Data and Safety Monitoring Board Workshop (1 day)
Details are given below
or
visit www.rdg.ac.uk/mps/mps_home/courses/scheduled_c.htm
or=20
contact Barbara Dodds
MPS Research Unit
The University of Reading
PO Box 240, Earley Gate
Reading, RG6 6FN
Tel: +44 118 378 6662
e-mail: [log in to unmask]
*************************************************************
Dose-escalation Procedures in Phase I Clinical Trials
*************************************************************
Date: 24-25 October 2005
Presenters: Professor John Whitehead and Dr Yinghui Zhou
Audience: =20
This course is intended for statisticians and clinical pharmacologists =
working in early phase drug development in pharmaceutical companies and =
public sector medical research institutes.
Description:
Phase I clinical trials conducted to find appropriate doses for use in =
later phase studies employ pre-specified guidelines. These determine =
what dose to administer to the next subject or group of subjects. =
Recent research by statisticians has led to the development of new =
dose-escalation schemes with the potential for increasing efficiency and =
safety. So far these schemes have been implemented to a limited extent =
in trials of cancer drugs, and hardly at all in other therapeutic areas.
The objectives of this course are to introduce the new procedures and =
their underlying principles, to demonstrate software for their =
implementation and to show how these and older procedures can be =
evaluated using simulation. Applications to oncology trials and to =
studies in other therapeutic areas are discussed, and designs for =
healthy volunteer studies with pharmacokinetic endpoints are presented. =
The intention is to stimulate discussion about whether and in what form =
the new procedures are of practical utility. In addition to lectures, =
there will be practical sessions and group discussions.
Programme:
* Conventional dose-escalation procedures
* The Continual Reassessment Method
* Bayesian dose-escalation procedures
* Healthy volunteer studies
* Simultaneous monitoring of benefit and toxicity
* Software for dose-escalation
*************************************************************************=
**
Analysis of Multiple Failure Time Data Arising from Clinical Trials
*************************************************************************=
**
Date: 26-27 October 2005
Presenters: Dr Patrick Kelly and Professor Anne Whitehead=20
Description:
Statistical methods have recently been developed for the analysis of =
multiple failure time data. Such data can arise in a variety of ways. =
Sometimes analyses based on two endpoints, such as time to disease =
progression and time to death, are to be combined. Recurrent event data =
are observations of times at which patients suffer repeated events such =
as epileptic seizures, asthma attacks or coronary events. Competing =
risks data arise when considering various potential causes of death or =
forms of incapacity that can follow from a certain condition. Clustered =
survival data, which arise, for example, from multicentre trials, can =
also be considered as a form of multiple failure time data.
Examples of such data will be examined, and the objectives of their =
analysis discussed. Methods, such as frailty models, and the robust =
approach due to Wei, Lin and Weissfeld will be introduced and =
illustrated. The software available for implementing these methods will =
be described and participants will take part in hands-on computer =
practicals.
Although the course will begin with a brief review, it will be assumed =
that participants are familiar with simple univariate survival =
techniques.
Programme:
* Examples of multiple failure time problems
* Review of survival methods
* Combining survival endpoints
* Frailty models for correlated survival data
* Models for recurrent event data
* Competing risks models
****************************************************=20
Data and Safety Monitoring Board Workshop
****************************************************
Date: 28 October 2005 =20
Presenter: Dr Sue Todd
Guest Presenter: Dr Julian Bion
Reader in Intensive Care Medicine
Queen Elizabeth Hospital, Birmingham
Audience:
This Workshop is designed for people who serve on Data and Safety =
Monitoring Boards, people who organise them, and people involved in =
preparing adverse event and statistical reports for them.
Description:
Data and Safety Monitoring Boards (DSMBs) are a common feature of =
long-term clinical studies in life-threatening conditions. This =
Workshop describes the remit and composition of DSMBs, and how their =
work relates to other parties involved in the study, such as the =
sponsor, the study project team, the investigators, the Steering =
Committee and the data management centre. The importance of pre-trial =
preparation by the DSMB is stressed. Consideration is given to the =
nature and purpose of safety and efficacy data reports presented to the =
DSMB, and the balance between the timeliness and the accuracy of the =
data available is discussed. Statistical problems inherent in =
repeatedly making multiple treatment comparisons are highlighted, and =
formal stopping guidelines based on repeated safety analyses are =
presented. The role of the DSMB in trials with pre-specified interim =
efficacy analyses will be discussed.
The Workshop is structured around group discussions of realistic =
scenarios of the type faced by DSMBs.
Programme:
* Role and composition of a DSMB
* Confidentiality and blindness
* Presentation of safety reports
* Formal stopping rules for safety
* Interim efficacy analyses and sequential designs
**************
Course fees=20
**************
For 6 or more weeks prior to commencement of the course:
1 Day 2 Days
Students =A3180 =A3360
Sponsors/Public =A3225 =A3450
sector/Academic
Other =A3255 =A3510
Less than 6 weeks=20
prior to course =A3300 =A3600
The course fee includes all supporting documentation, refreshments and =
lunches. For a course running more than one day, dinner is included on =
the first evening.
=========================================================================
Date: Mon, 12 Sep 2005 15:28:36 +0100
Reply-To: Michael Griffiths <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Griffiths <[log in to unmask]>
Subject: Re: Cochran's C cumulative distribution function
Mime-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Dear all,
I am trying to write a Microsoft Excel function that will check for =
outlying within-group variance using the Cochran's C test. What I would =
like to do is to compute the p-value associated with the Cochran's =
statistics ratio. Could someone therefore please tell me what the =
Cochran's C cumulative distribution function is. I have searched Google =
and other engines but o no avail.=20
Thanks
Mike Griffiths
Michael Griffiths, Ph.D.
Chemometrician
Training, Quality and Statistics Group
LGC Limited
Queens Road
Teddington
Middlesex, TW11 0LY, UK
Tel: +44 (0)20 8943 7352
Fax: +44 (0)20 8943 2767
e-mail: [log in to unmask]
>>> Max Blumberg <[log in to unmask]> 09/12/05 11:53 am >>>
Hi
=20
Can anyone please offer any advice, techniques or references for using
cluster analysis for identifying outliers in multivariate data?=20
=20
The reason I am looking is that I have collected my data over the Internet
(1300 participants providing five NEO personality scales, 12 marital
satisfaction scales and one conflict scale). But at least one participant
has suggested that he has responded randomly and misleadingly. I therefore
wish to try and remove such cases.=20
=20
Normal outlier detection is not effective as it is the multivariate cases
that cause the most trouble. Someone suggested that cluster analysis (a =
new
technique for me) would be effective for this.
=20
Many thanks
=20
Max
*******************************************************************
This email and any attachments are confidential. Any use, copying or
disclosure other than by the intended recipient is unauthorised. If
you have received this message in error, please notify the sender
immediately via +44(0)20 8943 7000 or notify [log in to unmask]
and delete this message and any copies from your computer and network.
LGC Limited. Registered in England 2991879.
Registered office: Queens Road, Teddington, Middlesex, TW11 0LY, UK
=========================================================================
Date: Mon, 12 Sep 2005 16:45:28 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: Fisher's exact test vs Chi-square
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
I have heard that people favour the Pearson's Chi-square over Fisher's
exact test because the latter is more conservative. Some people therefore
only use Fisher's exact test when some of the expected counts are too
small. But nowadays we can quite easily calculate the exact p-value based
on the Pearson statistic, provided it's not a huge table (SPSS can do it).
Is there any place for Fisher's exact test then?
Tim
=========================================================================
Date: Mon, 12 Sep 2005 17:14:10 +0100
Reply-To: "Lyne, Andrew" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Lyne, Andrew" <[log in to unmask]>
Subject: JOB: Principal Statistician, Shire R&D, Basingstoke, UK
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Shire=20would=20like=20to=20recruit=20a=20medical=20statistician=20with=20=
4=20years=20experience,=20gained=20in=20a=20CRO=20or=20pharmaceutical=20co=
mpany.
To=20find=20out=20more=20about=20this=20permanent=20opportunity,=20and=20S=
hire,=20please=20reply=20to=20this=20email=20with=20a=20brief=20summary=20=
of=20your=20education=20and=20experience.
Kind=20regards,
Andrew=20Lyne
This=20email=20and=20any=20files=20transmitted=20with=20it=20are=20confide=
ntial=20and
may=20be=20legally=20privileged=20and=20are=20intended=20solely=20for=20th=
e=20use=20of
the=20individual=20or=20entity=20to=20whom=20they=20are=20addressed.=20If=20=
you=20are=20
not=20the=20intended=20recipient=20please=20note=20that=20any=20disclosure=
,=20
distribution,=20or=20copying=20of=20this=20email=20is=20strictly=20prohibi=
ted=20and=20may=20
be=20unlawful.=20=20If=20received=20in=20error,=20please=20delete=20this=20=
email=20and=20any=20
attachments=20and=20confirm=20this=20to=20the=20sender.
www.shire.com
=========================================================================
Date: Mon, 12 Sep 2005 17:43:00 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: SAS Programmer
=20
Salary: GBP 40ph=20
=20
Business Type: Contract Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client has 2 signed off contracts within there Biostatistics
departments for freelance specialist to work on 6 month assignments.
Working with a particular therapeutic area on predominately phase III
trials candidates will require 3+ years industry experience with
previous SAS Programming knowledge. Contracts are due to start in
October.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3719'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 12 Sep 2005 17:45:03 +0100
Reply-To: Denise Howel <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Denise Howel <[log in to unmask]>
Subject: JOB: Lecturer/Research Fellow in Medical Statistics,
University of Newcastle upon Tyne
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
=20
LECTURER/RESEARCH FELLOW in Medical Statistics
In conjunction with the Clinical Research Centre, to contribute to =
statistical aspects of clinical studies from design through to analysis =
and reporting. You will organise and contribute to the provision of =
statistical support to postgraduate students within the Faculty as well =
as pursue medical statistics research related to projects running =
through the CRC. Applicants should have a postgraduate qualification in =
statistics. Those applying at the lecturer grade should demonstrate a =
good record in research and teaching and the ability to communicate well =
with both statistical and non-statistical colleagues. Applicants at =
Research Fellow grade should demonstrate a clear potential for =
developing these skills.=20
Salary will be Lecturer Grade A (=A323,643 - =A327,116); Lecturer Grade =
B (=A327,989 - =A335,883) or Research Associate Grade (=A322,507 - =
=A329,128).
For an informal discussion please contact Dr Janine Gray (tel +44(0)191 =
222 7897 e-mail [log in to unmask], or Ms Denise Howel (tel +44(0)191 =
222 7381/5370 e-mail [log in to unmask]).
Job Ref: A372A
Further particulars and an employment record form can be downloaded from =
the website http://www.ncl.ac.uk/vacancies/
=========================================================================
Date: Mon, 12 Sep 2005 17:48:44 +0100
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Permanent statistical appointments within the pharmaceutical
industry
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Dear AllStat,
=20
Please find below details of permanent appointments SEC are currently
recruiting for across the UK and Europe:
=20
Senior Project Biostatistician - London
Remuneration: =C2=A335-50,000p.a plus bonus and benefits
This appointment is for an experienced and motivated statistical
professional to join a world leading pharmaceutical organisation based =
in
London. In this role you will act as an independent member of global
interdisciplinary project teams working within CNS, Anti-Infectives and
Oncology indications and across Phases I-IV. As a Senior =
Biostatistician you
will act as the primary contact for Oncology projects and will be =
involved
in high-level decision making, on both the study and project level. =
This
opportunity offers real scope, where variety and challenge will become =
a
normal part of your day-to-day work. Essential for this position is a
minimum of 5 years experience within CRO or Pharma but more important =
is a
demonstrable experience as lead Statistician across the project =
lifecycle,
ideally spanning Phase I-IV. Oncology experience is highly advantageous =
as
this will be the focus area of the position. A minimum of an MSc in
Statistics and strong SAS skills are important. Strong team-working,
leadership and communication skills are, of course, essential.
=20
Statistical SAS Programmer =E2=80=93 France
Salary: =E2=82=AC30,000 - 40,000p.a plus bonus and benefits
SAS Statistical Programmer with a minimum of 1 years experience sought =
to
join a major international pharmaceutical organisation based within
well-appointed offices in the North East of France, close to the
French/German Border. You will be involved in reporting clinical trials
using SAS software whilst working closely with the Lead Statistician on
major projects. Essential for this position is 1 minimum of 1 years
experience using SAS (SAS/Base, SAS/Macro, SAS/Graph, SAS/Stat) within =
the
pharmaceutical industry and a minimum of a good BSc in Statistics, =
Computing
or Mathematics. Also essential is a strong command of the spoken French
language. In return you will join a leading international organisation =
and
receive a highly competitive salary and benefits package, excellent =
training
and a commitment to your continuous career development.
=20
Associate Director, Biostatistics - South East UK
Salary: c.45k plus bonus and benefits
We are recruiting a senior statistical professional to take up the
appointment of Associate Director, Biostatistics within a leading
pharmaceutical company based in the South East of the UK. The =
appointment is
excellent opportunity to take on a Senior Project Statistician position =
with
some management responsibility within a market-leading pharma. You will
participate in all activities related to all statistical aspects of =
drug
development. You will contribute to clinical program design and =
regulatory
strategy. You will be involved in both clinical and post marketing
activities. In addition you will hold responsibilities in the =
supervision of
staff within the Biostatistics team. Essential for this position is a
minimum of 5 years relevant experience, an MSc in Statistics / Medical
Statistics and ideally a PhD qualification. You will be familiar and
confident with complex statistical methods and your ability to apply =
them to
all phases of clinical trials. Excellent SAS programming skills are
important. Strong leadership, team working and communication skills =
are, of
course, essential. In return for your services you will receive an
excellent basic salary, annual bonus and a comprehensive benefits =
package.
In addition you will have the opportunity to build on your project
statistics experience and further develop your managerial qualities.
=20
Statisticians / Senior Statisticians - London
Salary: =C2=A325,000 - 45,000p.a plus bonus and benefits
We are seeking experienced Statisticians to join one of the worlds =
leading
research-based pharmaceutical companies. You will be appointed within =
their
early phase or phase II/III teams and the positions can be located in =
either
West or North East London. You will work within dynamic international
interdisciplinary teams assigned to important therapeutic areas and be
instrumental in the development of new medicines. In a fast-paced
environment, as a vital part of a team of energetic, busy, professional
Statisticians and Programmers, you will be contributing to every aspect =
of
the design and analysis of trials of compounds in phases I or phase =
II/III
of their clinical development. On offer are highly competitive =
salaries,
benefits, training and development, and a commitment to the continuous
development of your technical skills and competencies. Essential is an =
MSc
or PhD in Statistics and at least 2 years experience within a CRO or
Pharmaceutical organisation. Experience within Early Phase or Phase =
II/III
clinical development is highly advantageous. A good knowledge of SAS is =
also
essential.
=20
Biostatistician / Senior Biostatistician =E2=80=93 Belgium
Salary: =E2=82=AC40,000 - 70,000p.a plus bonus and benefits
SEC are recruiting a Biostatistician with 2+ years experience to join a =
=E2=80=98Top
10=E2=80=99 global pharmaceutical company based in Belgium. Working =
within busy,
dynamic interdisciplinary teams you will be responsible for providing
statistical expertise in the design, planning, conduct, analysis and
reporting of major clinical studies and global development programs =
within
CNS, Ant-infectives and GI therapeutic areas. Additionally you will =
help
register drugs at the FDA, EMEA and other regulatory agencies worldwide =
and
developing statistical programs as necessary to perform analyses, =
prepare
data displays, verify data accuracy and validity. This position is open =
to
any professional with the minimum academic and experience requirements, =
the
level of the position will be shaped around the experience level of the
successful candidate. To be successful in securing this position you =
will
require 2+ years experience as a Biostatistician within a CRO or
Pharmaceutical company and a minimum MSc in Medical Statistics, =
Statistics
or a related discipline. SAS programming skills are important, strong =
team
working and communication skills are, of course, essential. Fluency in =
the
English language is also essential, French language skills are an =
advantage.
With regards to technical experience late phase is a distinct =
advantage, as
is experience working within the above therapeutic areas. This leading
company offer unparalled opportunities for personal development and =
career
growth including opportunities for PhD study and secondment to work in =
the
US. The company also offers excellent starting salaries, full =
relocation
assistance and regular pay reviews.
=20
Senior Biostatistician - Ireland
Salary: =E2=82=AC40,000 - 65,000p.a plus bonus and benefits
A leading drug development company has a requirement for experienced
Biostatisticians with 2+ years experience in the application of =
statistics
to clinical trials to join their team in a period of significant growth =
and
opportunity. Working on diverse projects at both the phase and =
therapeutic
indication level you will receive real autonomy from day one and have
responsibility for the complete project lifecycle on assigned studies. =
You
will work closely with Lead Statistical Programmers and other internal
departments developing SAP=E2=80=99s, conducting interim and final =
analyses and
producing clinical study reports. You will also have the opportunity to =
be
involved in client meetings and business development activities. =
Essential:
2-5 years experience of Biostatistics within CRO or Pharma. Minimum BSc
Statistics or relevant discipline. Strong communication skills and =
ability
to work well within a team and under your own direction. Line =
management /
Team leading experience would be an advantage. On offer is an excellent
salary and benefits package and an opportunity to fast track your =
career
within Biostatistics.
=20
For full details of these positions and further appointments for
Statisticians and Statistical Programmers across the UK and Europe call =
Alan
on 020 7 255 66 00.
=20
Kind regards,
=20
Alan Brophy
SEC Recruitment, London
020 7 255 66 00
=20
=========================================================================
Date: Mon, 12 Sep 2005 18:01:59 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Biostatistics Manager-UK
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstaters,
=20
Please=20find=20below=20our=20latest=20Statistics=20vacancy:.
=20
Biostatistics=20Manager
=20
Business=20Type:=20Biopharmaceutical=20Company,=20Biotechnology=20Company,=
Clinical=20Research=20Organisation,=20Contract=20Research=20Organisation,
Pharmaceutical=20Company=20
Job=20Type:=20Data=20Management/Statistics=20
Position=20type:=20Permanent=20
Location:=20United=20Kingdom=20
=20=20
Background:=20
=20=20
My=20client=20is=20actively=20looking=20for=20a=20Biostatistics=20Manager=20=
who=20will=20be
responsible=20for=20the=20design=20and=20analysis=20of=20data=20from=20the=
=20Clinical
Operating=20Areas=20including=20the=20Phase=20II-IV=20monitoring=20offices=
.=20You=20will
be=20responsible=20for=20the=20co-ordination,=20delegation=20of=20tasks=20=
and=20scheduling
of=20all=20statistical=20activities=20within=20the=20department.=20You=20w=
ill=20be
responsible=20for=20the=20management=20and=20development=20of=2015=20stati=
sticians,
future=20resources=20and=20of=20business=20interests=20for=20the=20statist=
ics=20group
under=20his/her=20direction.=20
=20=20
Primary=20Duties:=20
=20=20
To=20act=20as=20Project=20Manager=20for=20projects=20relating=20to=20the=20=
data=20management
and=20statistical=20analysis=20of=20Phase=20I/IV=20clinical=20and=20non-cl=
inical
studies.=20To=20liaise=20with=20Sponsors=20as=20to=20their=20requirements=20=
for
statistical=20analysis,=20data=20management,=20reporting=20and=20data=20tr=
ansfer.=20To
ensure=20that=20studies=20keep=20to=20the=20assigned=20schedule=20and=20th=
at=20sponsors=20are
kept=20fully=20informed=20as=20to=20the=20status=20of=20their=20studies.=20=
To=20undertake=20the
design,=20analysis,=20interpretation=20and=20reporting=20of=20both=20clini=
cal=20and
non-clinical=20studies.=20To=20provide=20expertise=20in=20the=20design=20a=
nd=20analysis=20of
both=20clinical=20and=20non-clinical=20studies.=20To=20attend=20meetings=20=
with=20clients
and/or=20regulatory=20authorities=20as=20a=20statistical=20expert.=20
=20=20
Qualifications:=20
=20=20
MSc=20in=20Statistics=20or=20Mathematics=20*=206=20years=20work=20experien=
ce=20of=20clinical
trials=20within=20a=20senior=20statistician=20position=20*=202=20years=20l=
ine=20management
experience=20*=20Proven=20project=20management=20skills,=20ability=20to=20=
meet
conflicting=20deadlines=20*=20Proven=20organisation=20skills,=20including=20=
workload
scheduling=20*=20Excellent=20communication=20and=20presentation=20skills,=20=
with
experience=20of=20communicating=20complicated=20statistical=20information=20=
*=20Proven
ability=20to=20problem=20solve=20*=20Excellent=20interpersonal=20skills=20=
*=20Proven=20SAS
skills=20*=20Good=20MS=20Office=20skills,=20particularly=20MS=20Word=20and=
=20MS=20Excel=20*
Excellent=20attention=20to=20detail=20
=20
Please=20reply=20with=20an=20up=20to=20date=20CV=20or=20contact=20me=20to=20=
discuss=20in=20more
detail.=20
=20
James=20Harvard=20Pharma=20is=20a=20specialist=20recruitment=20company=20d=
edicated=20to
the=20pharmaceutical=20industry.
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
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Web:=20www.jamesharvard.com
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______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
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______________________________________________________________________
=========================================================================
Date: Mon, 12 Sep 2005 21:01:28 +0200
Reply-To: Goran Granath <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Goran Granath <[log in to unmask]>
Subject: Problems in clinical trial
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
Dear all,
We have a considerable problem with dropouts, if you can call them so. - A=
=20
clinical trial is being conducted where one half is treated in the=20
traditional way with medication and the the other half is treated by a new=
=20
surgical method. Apparently the new, surgical, method is very popular among=
=20
the patients as, after half time, almost 50% wanted to stop medication and=
=20
get surgery instead. The problem is that the medication group becomes far=20
too small but for ethical reasons it seems difficult to deny surgery.
Anybody experienced something like this before?
Thank you in advance
G=F6ran Granath
Goran 'Joe' Granath, PhD Phone: +46-18-30 16 67
Ariadne Exploration AB E-mail: [log in to unmask]
Malma Ringv=E4g 1
S-756 45 Uppsala
Sweden=20
=========================================================================
Date: Mon, 12 Sep 2005 16:02:22 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rossi Hassad <[log in to unmask]>
Subject: FINAL NOTICE - Teaching Statistics in the Health and Behavioral
Sciences
Comments: To: [log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Dear Colleagues:
Please assist me with this survey, which is aimed at developing an instrument to measure instructors? attitudes toward the teaching of introductory statistics in the health and behavioral sciences (undergraduate level). The instrument is available at: www.courtpoint.com/survey, and the average completion time is 7(seven) minutes.
In addition to contributing to the development of the teaching of introductory statistics, your participation will give you a chance to win one of three $100 (one hundred dollar) cash awards which may be used toward professional development.
A big thank you to all those who have participated, and my regrets if you have received multiple notices about this survey. Please circulate to other faculty members, and encourage them to participate. I am counting on your support.
Sincerely,
Rossi A. Hassad, MPH, PhD
Assistant Professor, Division of Behavioral Sciences,
Mercy College, New York
=========================================================================
Date: Mon, 12 Sep 2005 16:06:15 -0400
Reply-To: Teddy Seidenfeld <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Teddy Seidenfeld <[log in to unmask]>
Subject: Tenure track job opening at Carnegie Mellon University
In-Reply-To: <[log in to unmask] local>
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Dear Allstaters,
Below is a job notice from the Philosophy Department at Carnegie Mellon
University. I urge those of you who know a recent Ph.D student with
research interests that overlap any one of the three broad areas enumerated
in this notice to encourage her/him to apply. The Philosophy faculty at
CMU hold degrees from a variety of different disciplines, not just in
Philosophy, and we intend to keep up this commitment to serious
interdisciplinary research in Philosophy.
Cordially,
Teddy Seidenfeld
-----------------------------------------------------------------------------------------------------------------------
Carnegie Mellon University. The Department of Philosophy invites
applications for one tenure track position beginning September 1, 2006.
Responsibilities: exemplary research and publication, teaching four
courses per year, and graduate student supervision.
Rank: open, with preference to hire at the assistant professor level.
Area: open, with preference for candidates specializing in:
(a) ethics, social or political philosophy,
(b) natural language interpretation,
or (c) cognitive or brain science.
In keeping with the Department's commitment to original,
rigorous,interdisciplinary research, strong preference will be given to
candidates who fruitfully apply computational, analytical, logical or
experimental methods to significant philosophical and/or scientific
problems. A demonstrated ability to collaborate in research with experts
in the candidate's area of application is also encouraged. Philosophically
motivated and informed applicants from relevant areas outside of philosophy
will be considered. The Department particularly encourages applications
from women and members of under-represented minorities.
The deadline for applications is December 1, 2005. Please send cover
letter, CV, three letters of recommendation, and a writing sample to: Kevin
T. Kelly; Search Committee Chair; Department of Philosophy; Carnegie Mellon
University; 5000 Forbes Avenue; Pittsburgh, Pennsylvania 15213-3890. USA
Carnegie Mellon is an equal opportunity, affirmative action employer with
particular interest in identifying women and minority applicants for
faculty positions.
=========================================================================
Date: Mon, 12 Sep 2005 21:08:50 +0100
Reply-To: Mike Procter <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mike Procter <[log in to unmask]>
Subject: Re: QUERY: Semiometry
Comments: To: Joanna Moschandreas <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1";
reply-type=original
Content-Transfer-Encoding: 7bit
Probably not the same, but Ogden and the Soviet neurologist Luria did
something similar they called semantic differential. If you can't find a
reference get back to me.
----- Original Message -----
From: "Joanna Moschandreas" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Monday, September 12, 2005 6:33 AM
Subject: QUERY: Semiometry
> If anyone knows where I could find details about "Semiometry" (used in
> psychology to measure emotional reaction to words(?)), please let me know.
>
> I would be very grateful for any info on this topic.
>
> Thanks,
> Joanna
>
=========================================================================
Date: Tue, 13 Sep 2005 09:40:58 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Optimise your Credit Risk and SAS skills for a Credit Risk
Analyst role
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
An exciting opportunity has arisen for someone with previous credit=20
experience with SAS. My Client one of the UK=92s leading financial=20
institutions is looking for a Credit Risk Analyst to join their Modelling=20
and Analytics team. As the company evolves and expands globally your role=20
will become ever increasingly more important. With proficient skills in=20
SAS and a good understanding of banking/credit objectives your skills will=20
become paramount to the success of the company. =20
You will be responsible for a range of risk projects covering both credit=20
cards and personal loans and your statistical knowledge will be used to=20
enhance data-driven decision-making within the organisation. =20
A degree in a numerical, statistical or econometric discipline at class=20
2:1 or above is desired. Knowledge of Statistical Packages such as SAS, S-
Plus or C++ are desired along with Time Series, Regression, Probability=20
Analysis or similar. Having an eye for detail is essential as you will be=20
required to communicate technical statistical ideas in layman=92s terms. To=
=20
arrange an interview call today!
Location: Scotland
Salary: Up to =A330K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8980/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Tue, 13 Sep 2005 09:43:45 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Bright Market Analyst with SAS - Yorkshire
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
My client, a major player in the Financial Services industry is looking=20
for bright and enthusiastic individuals to join their Analysis Team. You=20
will a degree in a numerical or statistical discipline at Class 2:1 or=20
above with a minimum of 6 months work experience in an analytical or=20
research role with SAS. Statistical Packages such as SAS, SPSS and S-Plus=20
are also of interest, particularly SAS.=20
There will be substantial training and support to ensure that any=20
development needs are fulfilled. Good communication skills and team work=20
skills are a must, along with a positive attitude. This role will suit a=20
graduate with a relevant work placement ideally with knowledge of SAS or=20
someone who is looking to make their first move into finance early on in=20
their career. Apply today to take the next step!
Location: Yorkshire
Salary: =A321K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8978/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Tue, 13 Sep 2005 10:23:52 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Lewis <[log in to unmask]>
Subject: JOB - Permanent - Statistician/Biostatistician- Pharmaceutical
Industry, South East
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Dear All
Permanent Statistician role based North of the M25
The CIRS (Chiltern Integrated Resourcing Solutions) department of Chiltern
International acts in a similar way to that of a staffing solutions
provider. The department is currently seeking a Statistician to work for
our client based at their Global Headquarters in the South East of
England, North of the M25. Reporting into the Senior Statistician you
will be part of a team that play a key role in evaluating the success of
our new products through the design and analysis of both small in-house
and large multi-centre clinical trials in Europe and the US.
Ideal candidates will be educated to degree level or equivalent (min 2:1)
in statistics or a related discipline, ideally supplemented by an MSc or
PhD in Statistics, with at least 2 years relevant industrial/medical
experience in a statistical role. Consideration would be given to
graduates who have had an industrial placement within a medical
environment. You will also have used SAS for statistical analysis and
have the ability to work independently with proven report writing skills
and good oral communication skills.
If you are interested in finding out more about this role please contact
me.
Kind Regards
Peter Lewis BA MREC
Resourcing Manager
CIRS (Chiltern Integrated Resourcing Solutions)
Chiltern International
171 Bath Road
Slough, Berkshire
SL1 4AA
Direct Line: +44 (0) 1753 216727
Fax: +44 (0) 1753 511116
Mobile: +44 (0) 7931 537232
E-mail: [log in to unmask]
Website www.chiltern.com
______________________________________
IMPORTANT NOTICE
The information in this e-mail and any attached files is CONFIDENTIAL and
may be legally privileged or prohibited from disclosure and unauthorised
use. The views of the author may not necessarily reflect those of the
Company. It is intended solely for the addressee, or the employee or
agent responsible for delivering such materials to the addressee. If you
have received this message in error please return it to the sender then
delete the e-mail and destroy any copies of it. At present the integrity
of e-mail across the Internet cannot be guaranteed and messages sent via
this medium are potentially at risk.
=========================================================================
Date: Tue, 13 Sep 2005 11:51:45 +0100
Reply-To: Terry Flynn <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Terry Flynn <[log in to unmask]>
Subject: 4 Year funded PhD Studentship. MRC HSRC - Bristol
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
Content-Transfer-Encoding: 7bit
Content-Disposition: inline
Apologies for any cross-posting
----------------------------------
MRC HSRC; BRISTOL,UK. FOUR-YEAR PhD STUDENTSHIP IN HEALTH SERVICES RESEARCH
THIS IS A RE-ADVERTISEMENT WITH NEW CLOSING DATE.
PREVIOUS APPLICANTS FOR THE POSITION NEED NOT APPLY.
PLEASE NOTE THAT ONLY EU CITIZENS ARE ELIGIBLE FOR FUNDING - please check
HSRC website for full conditions of eligibility
START JANUARY 2006
Closing date for applications is 31st October 2005
PROJECT TITLE:
"Using Stated Preference Discrete Choice Modelling to Determine Preferences
for Treatment of Prostate Cancer."
YOU SHOULD HAVE:
* A degree in either:
1. Economics (or an area of applied economics) or
2. Psychology or
3. Statistics
* Excellent quantitative skills and enthusiasm for developing methods from
other disciplines.
DESIRABLE, BUT NOT ESSENTIAL ARE:
* MSc in area that utilises quantitative methods in either:
1. Preference elicitation (e.g. health/environmental/transport economics)
or
2. Outcomes research (e.g. health psychology or medical statistics)
* Interest in / experience of health sector
Funding is for four years and offers excellent opportunities for integrated
training and personal development. The post is ideal for either a person
with knowledge of discrete choice experiments / conjoint analysis who
wishes to move into health services research or a more general quantitative
health researcher who wishes to develop novel methods.
The PhD Project
Prostate cancer is a serious health problem, with 15,000 new cases every
year in the UK, and over 8,000 deaths. However, there is insufficient
knowledge about outcomes of the main treatments available. The ProtecT
study is a randomised controlled trial (RCT) to compare surgery (radical
prostatectomy), radiotherapy (radical conformal) and active monitoring
(monitoring with regular check-ups) in men aged 50-69 years old. The
principal outcomes of interest are general health, quality of life,
prostate cancer development, treatment outcome, length of life, and costs.
Full data on most outcomes will not be available for many years and it is
possible that no one treatment is unequivocally better than the others for
all outcomes of interest to patients. Furthermore, individual (or subgroups
of) patients may exhibit different preferences for outcomes. It is
therefore important to estimate the utility associated with important
aspects of treatment and establish how it varies across individuals. Stated
preference discrete choice modelling (SPDCM), (also called discrete choice
experiments and related to conjoint analysis), can address these issues by
enabling calculation of utilities for the characteristics of the three
treatments.
The work will involve a discrete choice experiment and will focus
particularly on methodological issues associated with SPDCM at the design
and analysis stages. The method of best-worst scaling (BWS) is the subject
of considerable research by the programme as a whole, given its desirable
statistical and cognitive properties. The PhD will benefit from this work
and enhance it by investigating the scope of BWS for estimating
interactions and patient-level preferences. Such data will be invaluable in
influencing policy and ensuring better individualisation of care.
Closing date for applications is 31st October 2005
For an informal discussion, please contact Terry Flynn,
[log in to unmask] or Joanna Coast, [log in to unmask]
For further details / application form, please contact the HSRC office 0117
928 7262 or email:- [log in to unmask], quoting ref: FLY01-05
All information and project details are available on our website:
http://www.hsrc.ac.uk
------------------------------
_______________________________________________________________
Terry N Flynn, PhD
Research Fellow,
MRC Health Services Research Collaboration,
Dept Social Medicine, University of Bristol,
Canynge Hall, Whiteladies Road,
Bristol BS8 2PR
Tel: +44 (0)117 928 7375
[log in to unmask]
http://www.hsrc.ac.uk/Contact/ext_staff_files/Terry_webpage.htm
_______________________________________________________________
=========================================================================
Date: Tue, 13 Sep 2005 11:59:30 +0100
Reply-To: Medical Stats Advice <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Medical Stats Advice <[log in to unmask]>
Organization: The University of Manchester, UK
Subject: Seminar
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
ROYAL STATISTICAL
SOCIETY
MANCHESTER LOCAL GROUP
A joint meeting with the Manchester Biostatistics
group on the theme
Bioinformatics
Wednesday 12th October 2005
NICK FIELLER
Gene Expression and Annotation
This talk will cover the statistical analysis of various forms of
oligonucleotide microarrays, involving very high dimensional data
with limited numbers of observations and poor replication, using
=91annotation=92 (information on the genes which could play a dual role
in the analysis), and citations relating genes to a Medical Subject
Heading.
TOM NYE
Uncovering evolutionary history: new methods for inferring
phylogenies
Evolutionary relationships between species can be represented by
a phylogenetic tree, and there are a range of different statistical
methods available for inferring the phylogeny of a set of species
given their DNA sequences. We present an introduction to this
area and look in more detail at a new distance-matrix method.
MAGNUS RATTRAY
Propagating Measurement Uncertainty in Microarray Data
Analysis
Microarrays, e.g. oligonucleotide arrays. can be used to
simultaneously measure the concentration of many species of
RNA molecules within a sample derived from a tissue of interest,
but with many sources of experimental uncertainty and noise. In
this talk I will discuss approaches for dealing with this uncertainty.
Venue:MANDEC (Manchester Dental
Education Centre) Higher Cambridge
Street, Manchester.
Time:2.00pm - 5.00pm (tea will be served
about mid-afternoon)
ALL ARE MOST WELCOME TO ATTEND!
Please e-mail Wendy Lamb ([log in to unmask]) if you will
be attending.
MedStats
Tel: 275 5764
=========================================================================
Date: Tue, 13 Sep 2005 12:17:37 +0100
Reply-To: "Lisles C A (SoCS)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Lisles C A (SoCS)" <[log in to unmask]>
Subject: Query: Edited Electoral Registers - changes in sample bias
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
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Dear AllStat list members,
I am trying to find out if anyone has done any work to look at the
differences between obtaining a sample from the edited as opposed to the
complete electoral register.
I am interested to know about any potential population bias, for
example, are some population groups less, or more, likely to remove
themselves from the edited register.
I have searched for articles on this matter (little success), and
contacted ONS, who told me that for them, this problem does not exist,
since, as a Govt. department they still have access to the complete
electoral register!
Any comments or suggesttions would be appreciated.
With best wishes, Cathy
Cathy Lisles
Research Assistant
Health Economics Research Unit
School of Care Sciences
University of Glamorgan
Pontypridd
Wales
CF37 1DL
Tel: 01443 483834
=========================================================================
Date: Tue, 13 Sep 2005 12:41:42 +0100
Reply-To: Andrea Manca <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrea Manca <[log in to unmask]>
Subject: MRC HSRC 4-year PhD Studentships in Economic Evaluation
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
*****APOLOGIES FOR CROSS POSTING*******
MRC HSRC FOUR-YEAR PhD STUDENTSHIPS IN ECONOMIC EVALUATION=20
START January 2006
Two studentships are now available with the MRC Health Services Research
Collaboration, based at the Centre for Health Economics, University of
York.
PROJECT TITLES:
1. 'The Optimal Development and Efficient Regulation of Health Care
Technologies: The Role of Value of Information Analysis.' (CLA01-05) 2.
'Methods for Integrating Irreversibility and Uncertainty into the
Economic Evaluation of Health Care Technologies.'(PAL01-05)
YOU SHOULD HAVE:
=A7 For either project - a masters degree in Economics, Health Economics
or in a quantitative discipline such as Statistics, Operations Research
or Epidemiology
DESIRABLE, BUT NOT ESSENTIAL ARE:
=A7 Skills in decision analysis and Bayesian statistics (1 and 2) =A7
Methods used in the economic evaluation of health care (1 and 2) =A7
Knowledge of clinical epidemiology (1 and 2) =A7 An understanding of
alternative regimes for the regulation of health technologies (1) =A7
Knowledge of the economics of industrial organisation / regulation (1) =
=A7
An understanding of investment theory and/or financial economics (2) =A7
Dynamic programming (2)
Funding is for four years and offers excellent opportunities for
integrated training and personal development.
Closing date for applications is 31st October 2005
NB Studentships are available to EU candidates or those who have been
granted UK citizenship.
For an informal discussion, please contact Karl Claxton [log in to unmask]
(CLA01-05) or Stephen Palmer [log in to unmask] (PAL01-05)
=20
For further details / application form, please contact the HSRC office
0117 928 7262 or email:- [log in to unmask], quoting refs:
CLA01-05 or PAL01-05
All information and project details are available via our website:
www.hsrc.ac. <http://www.hsrc.ac.uk> uk. Further details about the
Centre of Health Economics can be found at www.york.ac.uk/inst/che.
_________________________________________________________
Dr. Andrea Manca
Wellcome Trust Training Fellow in Health Services Research=20
Centre for Health Economics
ALCUIN A Block - A/116
University of York
York, UK
YO10 5DD
=20
Tel: +44 (0)1904 321430
Fax: +44 (0)1904 321402
E-mail: [log in to unmask]
=20
Home page =20
http://www.york.ac.uk/inst/che/manca.htm
Personal home page
http://myprofile.cos.com/am126
CHE Economic Evaluation Seminars Programme
http://www.york.ac.uk/inst/che/seminars.htm
_________________________________________________________
=========================================================================
Date: Tue, 13 Sep 2005 14:17:15 +0100
Reply-To: Tristan Barnfather <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: Job: Head of Statistics and Programming
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Hello,
I am currently working on the following exciting vacancy;
Head of Statistics and Programming
South East
Permanent
Up to =A365k=20
This is an excellent opportunity to take overall management of a Statistics
and Programming Group of approx 40 employees. You will be responsible for
training and development, resource management, and project delivery. On
occasion you will work closely with the Operational Director in contract
management, negotiating budgets and managing scope of projects.=20
This role requires that you will have an MSc in Medical statistics or
equivalent, with 10 years+ experience in a CRO or pharmaceutical
environment, including experience of group management.
You will have prior experience in client liaison and budget control, with
the ability to prioritise and manage multiple tasks. You will have excellent
leadership skills being able to drive the department forward.
For further information please contact me using he details below
Many thanks
Tristan
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask] =20
www.srginteresource.com =20
**********************************************************************
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are addressed. If you have received this email in error please notify
the system manager.
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Date: Tue, 13 Sep 2005 14:20:10 +0100
Reply-To: Tristan Barnfather <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: Job: SAS Programmer x5
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
SAS Programmer x5
South East
Contract or Permanent
Up to =A340 p/h or up to =A345k
In this role your main responsibilities will be to provide SAS programming
expertise in the production of analyses, tabulations, graphics and listings
from clinical trial data. You will also contribute to the preparation of the
statistical analysis plans and prepare, document and test required programs
and procedures. You will ensure analysis data and programming code meet
regulatory and company standards and are consistently structured to permit
efficient programming and reporting.
To be successful in this role you will have at least a BSc in Computing,
Statistics or equivalent with a minimum of 3 years hands-on SAS programming
experience. Excellent knowledge of SAS, SQL and Unix is a must with prior
experience of training and mentoring of others in this field an advantage.
For further information regards these positions please contact me using the
details below.
Many thanks
Tristan
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask] =20
www.srginteresource.com =20
**********************************************************************
This email and any files transmitted with it are confidential and
intended solely for the use of the individual or entity to whom they
are addressed. If you have received this email in error please notify
the system manager.
This footnote also confirms that this email message has been swept by
MIMEsweeper for the presence of computer viruses.
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=========================================================================
Date: Tue, 13 Sep 2005 15:03:33 +0100
Reply-To: "MacNeill, Stephanie J" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "MacNeill, Stephanie J" <[log in to unmask]>
Subject: JOB: Medical statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
NOTE: This post was originally advertised on Allstat on 1 September. The =
telephone number listed for Ginette Cariven was incorrect in the =
original advert and has since been changed.
=20
ROYAL BROMPTON
=20
MEDICAL STATISTICIAN
Fixed term two years in the first instance.
Salary: =A325,737 - =A330,753 pa
=20
The Royal Brompton & Harefield NHS Trust is the UK's largest =
post-graduate specialist heart and lung centre. We are a world famous =
organisation with a proud history in the investigation, treatment and =
research of heart and lung disease. From our two sites - in Chelsea, =
London and Harefield, Middlesex - we strive to develop our staff both =
personally and professionally to ensure our patients get the first class =
service they deserve.
=20
A vacancy exists for a suitably qualified Medical Statistician to work =
at the Royal Brompton & Harefield NHS Trust and the National Heart and =
Lung Institute, a Division of the Imperial College School of Medicine. =
Together this leading centre has an international reputation for =
excellence for heart and lung research. The successful candidate will be =
involved in a variety of projects initiated by research active staff on =
two hospital sites, situated at Chelsea and Harefield.
=20
The successful candidate will work within the department of Health =
Services Research but will be focused in supporting the statistical =
needs of clinicians and other research active staff across the Trust and =
NHLI. Within the post there are significant opportunities for teaching =
and research collaboration, with good professional support.
=20
Applicants must have a first degree in Mathematics, Statistics or a =
related subject and ideally an MSc in Medical Statistics. Practical =
experience with SAS or Stata is essential together with knowledge of =
databases and graphics packages.
=20
Informal enquiries can be made by contacting either Professor Martin =
Cowie on 020 7351 8858 or Stephanie Macneill on 020 7351 8397.
=20
Closing date for receipt of applications is: 29 September 2005
=20
Interviews will be held on: 12 October 2005
=20
For an application form and job description, please contact Ginette =
Cariven on 01895 828 754 or alternatively Recruitment Bureau by email on =
[log in to unmask] quoting reference number RB/BR/487.
=========================================================================
Date: Tue, 13 Sep 2005 16:17:14 +0100
Reply-To: Alan Girling <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Girling <[log in to unmask]>
Subject: Chair In Health Statistics
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
University of Birmingham=20
School of Medicine
Division Of Primary Care,
Public & Occupational Health
Chair In Health Statistics
Applicants are sought for a new University Chair of Health Statistics
in the Medical School. The Chair has been established in order to
enable the School to strengthen teaching and research and to
provide leadership for the many statisticians already employed within
the School. The new Chair will have a role in developing teaching
and he/she will have a superb opportunity to build an international
reputation as a leading researcher and exponent of health statistics.
This post is a cornerstone of the University's ambitious plans to
develop Birmingham as a premier centre for statistics, recognising
that this subject is an essential underpinning discipline on biological
and health research and practice.
Further particulars and the procedure for application may be
obtained from Personnel Services, University of Birmingham,
Edgbaston, Birmingham B15 2TT; email:
[log in to unmask] tel: +44 (0)121 415 8116;
fax: +44 (0)121 414 7043;
web: www.personnel.bham.ac.uk/vacancies
Please quote reference number M38086.
Closing date for applications is 7 October 2005.
A University of Fairness and Diversity.
Work-Life Balance Award Winner 2003 and 2004.
=========================================================================
Date: Tue, 13 Sep 2005 17:11:37 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Senior Statistician
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Senior Statistician
=20
Salary: GBP 35k - 45k=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: United Kingdom - East Anglia=20
=20
Background:=20
=20
Providing statistical evaluation and reports for inclusion into Clinical
trial reports. Production and review of Statistical Analysis Plans.
Contributing to and Peer review of statistical programming. Contributing
to the company's development of new systems, methods and SOPs.=20
=20
Qualifications:=20
=20
Experiences in SPlus, SAS v6.12 and 8 and SPS. Experience of Phases I -
IV of Clinical Development. Knowledge of phamocokinetic analysis an
advantage.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'CI-3962'.=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask]
<mailto:[log in to unmask]> =20
=20
=20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Tue, 13 Sep 2005 17:31:18 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Manager of Statistics
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Content-Transfer-Encoding: quoted-printable
Manager of Statistics
Salary: GBP 45k - 65k
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent
Location: United Kingdom - East Anglia=20
=20
Background:
=20
Provide a high level of theoretical and practical leadership to the
biostatistics group, which provides statistical support for Phase I to
IV studies. Have a broad experience of medical statistics, preferably in
the pharmaceutical industry. Raise the profile of statistics at the
company such that it is recognised by clients and competitors as a
benchmark service. Manage workloads and resources to achieve timely and
accurate production of deliverables. Organise the group structure to
best achieve objectives. Develop the biostatistics group's working
standards through SOPs, training and influence.
=20
Primary Duties:
=20
To act as a project statistician as appropriate contributing to study
design, sample size calculations, programming and statistical sections
of protocols. To be responsible for the recruitment, management and
development of team leaders. To contribute to an open management
culture.
=20
To apply, reply with an up to date copy of your CV quoting the
reference CI-3962
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask]
<mailto:[log in to unmask]> =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Tue, 13 Sep 2005 17:46:39 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
Statistician
=20
Salary: GBP 25k=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom=20
=20
Background:=20
=20
Review clinical trial protocols and advise on clinical/consumer trial
design and statistical aspects of study protocols. Advise on statistical
aspects of product claims and regulatory submissions. Undertake
appropriate statistical analysis and reporting of data from various
sources relating to product support, new product development or
regulatory submissions. Act as statistical consultant to scientists
advising on experimental design, statistical analysis and provision of
statistical software.=20
=20
Qualifications:=20
=20
A degree or equivalent in statistics or a related discipline ideally
supplemented by an MSc or PhD in statistics. Familiarity with the use of
SAS for statistical analysis and data handling. At least 2 years
relevant industrial/medical experience in a statistical consultancy
role.=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Wed, 14 Sep 2005 02:22:55 -0400
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Senior Analyst, Ph.D., 13 years of experience
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
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Worked for Visa, Wells Fargo, InfoSpace, CNET, NBC Internet, Cambridge
University (postdoc), Data Shaping Solutions.
Industries: Finance, Internet, Search Engines, Fraud detection, Risk
Management, Portfolio Optimization, Business Intelligence, Market Research,
Statistical Litigation.
Expertise: Clustering, Decision Trees, CHAID, Logistic Regression,
Discriminate Analysis, Predictive Modeling, Six Sigmas, Time Series, Boosted
Trees, Path Analysis, Design of Experiments, Artificial Intelligence,
Machine Learning, Knowledge Discovery, Text Mining, Customer Profiling, Data
Mining, Survey Analysis, Query Intelligence.
Software / Languages: SAS (Stat/Macros, SAS/Access), SPlus, R, SQL, C, Perl,
UNIX, Oracle, Sybase, Windows XP.
How to find candidates with a similar background? By placing an ad on the
most visited statistical web site (according to Alexa.com):
http://www.datashaping.com/jobs.shtml
Cost: $150 per ad (30 days), including a one-time publication in our job
e-mail alert newsletter reaching 1,200+ job seekers with quantitative
background.
=========================================================================
Date: Wed, 14 Sep 2005 10:02:34 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: Re: Fisher's exact test vs Chi-square
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi,
I've received several replies to my previous post, but none of them
claimed to give an authoritative view on which statistic is best for use
in general contingency tables. But I suddenly remembered that one crucial
difference between Pearson's Chi-square and all the others is that only
Pearson's does not assume fixed marginals.
Now it also happened that in answer to one of my previous questions, Prof
David Cox gave me an email saying that in fact there is a living debate as
to whether or not margins should be fixed. The details of this debate I
don't know, but seems to be largely philosophical. I haven't heard the
case for fixing the margins, but I have heard one reason for not fixing
it. Howell (Statistical Methods for Psychology) said that in most cases
when we collect data, we don't fix the margins, so why should we when we
analyse the data? This seems convincing to me, but then the problem is
there is no statistic available, as far as I know, to deal with the case
when there are small counts.
Anyone would like to continue the discussion?
Tim
=========================================================================
Date: Wed, 14 Sep 2005 10:55:28 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: MSc by Research =?iso-8859-1?Q?=96?= Statistical
Competencies in the NHS, UNIVERSITY OF GLASGOW,
Department of Statistics.
Comments: cc: [log in to unmask]
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
MSc by Research =96 Statistical Competencies in the NHS
Background
NHS Scotland Information Services Division (ISD) is one of the largest=20
employers of statistical staff in the public sector in Scotland. A new pay=
=20
system, Agenda for Change, is about to be introduced. Career progression=20
for statisticians and other public health intelligence professionals will=20
be made explicitly dependent on demonstrating specific knowledge and=20
skills, both statistical and managerial.
There is an opportunity for an MSc student to work with ISD to profile the=
=20
current competency of staff, develop a training needs assessment for=20
statistical modules to support Agenda for Change, identify the educational=
=20
and training provision currently available to ISD staff, and highlight gaps=
=20
in this provision.
Scope of Research
1. to review the relevant literature on statistical consultancy=
=20
and draw up a list of the statistical competencies (theoretical and applied=
=20
statistics, computational skills, communication skills) that a practising=20
statistician requires to develop
2. to help develop a mapping of statistical competencies against=
=20
bands on the new pay structure
3. to develop a survey instrument to establish the current=20
competency of staff
4. to administer the survey instrument and analyse the results
5. to survey current training provision, formal and informal, in=
=20
terms of:
aims and learning outcomes
statistical competencies addressed in the syllabus
teaching and learning styles
assessment methods
6. to highlight gaps in the current training provision
Supervisor
The supervisor for this postgraduate studentship is John McColl, Reader in=
=20
Teaching, Learning and Assessment, Department of Statistics.
Stipend
This MSc by research will be funded for one academic year, beginning 1=20
October 2005. A stipend of =A312,000 will be paid to the student and full=
=20
home fees will also be met.
The Department of Statistics
The Department of Statistics of the University of Glasgow is one of the=20
largest statistical groups in the UK and achieved a 5 rating in the last=20
Research Assessment Exercise. The research interests of the Department=20
cover both modern statistical methods and applications of statistics in a=20
wide variety of collaborative projects with colleagues in many other=20
disciplines. The department includes a large and supportive postgraduate=20
community.
Application
Applicants should already have gained a First or Second Class Honours=20
degree in Statistics or a subject (e.g. Psychology) with a substantial=20
statistical component. Anyone interested in applying is asked to contact=20
Mr. McColl at the Department of Statistics, University of Glasgow, Glasgow=
=20
G12 8QQ, (Tel) 0141 330 4749, (FAX) 0141 330 4814, or by e-mail at=20
<mailto:[log in to unmask]>[log in to unmask]
=========================================================================
Date: Wed, 14 Sep 2005 11:58:24 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: PhD studentship,
Bayesian networks for knowledge discovery and collaborative
filtering.
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
I have been asked to forward this to the list.
Please reply to the details given and not to me.
>A PhD studentship is available for a project on:
>
>Bayesian networks for knowledge discovery and collaborative
>filtering. EPSRC CASE studentship (see new eligibility criteria below)
>
>
>A PhD studentship is available for three years to develop and evaluate
>graphical models
>for collaborative filtering. Probabilistic recommender systems capable of
>hidden variables
>underpinning preference, choice and purchase behaviour will be developed
>within
>the Bayesian
>belief networks framework. The project will involve close interaction with
>industrial sponsors
>and will be supervised by Professor Paulo Lisboa at the school of
>Computing and
>Mathematical
>Sciences - Liverpool John Moores University and Dr. Wael El-Deredy at
>School of
>Psychological
>Sciences, University of Manchester. The successful candidates will receive an
>enhanced
>EPSRC stipend.
>
>Eligible candidates* wishing to apply should send by email a supporting
>statement together with a
>CV containing names and addresses of two referees by the closing date of
>Monday
>24th September 2005.
>
>* Candidates must satisfy the EPSRC eligibility requirements: Recent changes
>to the criteria have
>opened full CASE studentship funding to EU nationals with residence in the UK
>for at least 3 years,
>which now include periods of stay for the purpose of higher education.
>
>
>For further information and applying contact Professor PJG Lisboa
>email: [log in to unmask], tel. 0151 231 2225
=========================================================================
Date: Wed, 14 Sep 2005 12:04:35 +0100
Reply-To: ALEXANDER MANU <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: ALEXANDER MANU <[log in to unmask]>
Subject: Re: Job: PhD studentship,
Bayesian networks for knowledge discovery and collaborative
filtering.
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: 7bit
Content-Disposition: inline
my email address is changing to [log in to unmask] I will be happy
if the administrator will make these changes or if i could be directed
on how to effect that. thanks
>>> Andrew McMullan <[log in to unmask]> 09/14/05 11:58 am >>>
I have been asked to forward this to the list.
Please reply to the details given and not to me.
>A PhD studentship is available for a project on:
>
>Bayesian networks for knowledge discovery and collaborative
>filtering. EPSRC CASE studentship (see new eligibility criteria
below)
>
>
>A PhD studentship is available for three years to develop and
evaluate
>graphical models
>for collaborative filtering. Probabilistic recommender systems
capable of
>hidden variables
>underpinning preference, choice and purchase behaviour will be
developed
>within
>the Bayesian
>belief networks framework. The project will involve close interaction
with
>industrial sponsors
>and will be supervised by Professor Paulo Lisboa at the school of
>Computing and
>Mathematical
>Sciences - Liverpool John Moores University and Dr. Wael El-Deredy at
>School of
>Psychological
>Sciences, University of Manchester. The successful candidates will
receive an
>enhanced
>EPSRC stipend.
>
>Eligible candidates* wishing to apply should send by email a
supporting
>statement together with a
>CV containing names and addresses of two referees by the closing date
of
>Monday
>24th September 2005.
>
>* Candidates must satisfy the EPSRC eligibility requirements: Recent
changes
>to the criteria have
>opened full CASE studentship funding to EU nationals with residence in
the UK
>for at least 3 years,
>which now include periods of stay for the purpose of higher
education.
>
>
>For further information and applying contact Professor PJG Lisboa
>email: [log in to unmask], tel. 0151 231 2225
=========================================================================
Date: Wed, 14 Sep 2005 13:36:28 +0100
Reply-To: Jake Ansell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Ansell <[log in to unmask]>
Subject: Conf: 4th Edinburgh Risk Conference 29th - 31st March 2006
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Content-type: text/plain; charset=ISO-8859-1
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4th Edinburgh Risk Conference
RISK: Analysis, Assessment and Management
Management School Edinburgh University 29th =96 31st
March 2006
Risk is persuasive entering into daily life in a myriad of forms. A
range of tools for the analysis and assessment of risk have been
developed across a wide range of subject areas =96 corporate finance,
economics, engineering, environmental studies, mathematics,
philosophy, sociology, management and political science. The
management of risk is an important aspect of Finance, Insurance,
Engineering, Transport, Health and Environmental Sciences.
Papers have covered previously Aerospace, Chemistry, Defence
Industries, Environment, Finance, Insurance, Marine, Medicine,
Railways, Transport and Weather.
The Conference will have invited and contributed papers as well as
workshops. All accepted papers will appear in the Conference
Proceedings.
Organising Committee
Professor Chris Adcock (Sheffield University), Professor John
Andrews (Loughborough University), Dr Jake Ansell, (Edinburgh
University) Professor Frank Coolen (Durham University), Dr
Michael Phillips (Leicester University), Dr Alison Smart
(Manchester Business School), Professor L Thomas (University of
Southampton), Dr Peter Moles (Edinburgh University), Professor
Lesley Walls (University of Strathclyde)
Conference Administrator: Nicola Jackson
Communication Address: Dr Jake Ansell, Risk Conference,
Management School, William Robertson Building, 50 George
Square, Edinburgh University, EH8 9JY.
Tel No 0131 650 3806, Fax 0131 668 3053, e-mail
[log in to unmask]
Social Programme
There will be a welcome reception on the evening of 29th March
2006 and conference dinner on 30th March 2006.
Accommodation
Accommodation will be in standard or en-suite University
residences, or alternatively information on hotels and guest-houses
can be provided.
Submission of Papers
Acceptance of contributed papers will be on the basis of a single
A4-page abstract which must reach the local organisers by 15th
November 2005.
They should be sent either to e-mail [log in to unmask] or
alternative on 3.5-inch disk to Dr Jake Ansell at the conference
address.
Authors will be notified by e-mail by 15th December 2005 of
acceptance and final full paper should be sent by 15th February
2006.
Conference Fees (VAT Exempt)
Conference fee covers includes finger buffet on 29th March 2006,
coffee/tea and lunch on 30th and 31st March 2006 and Conference
Dinner on 30th March 2006.
Conference fee
Academic and RSS Fellows: =A3210
Non-Academics: =A3250
Research Students: =A3165
Residential fee (Bed & Breakfast at Pollock Halls, The University
of Ediburgh for nights of 29th and 30th March 2006)
Standard =A358
En-suite =A390
Late Registration fee for applications received later than 1st March.
All payments must be made before the Conference (unless
otherwise arranged with Conference Administrator). Payments
may be made by cheque or by cash by 1st March 2006 to avoid late
registration fee. All payments to be made in pounds sterling.
4th Edinburgh Risk Conference
RISK: Analysis, Assessment and Management
Management School Edinburgh University 29th =96 31st
March 2006
APPLICATION FORM
To be returned to Dr Jake Ansell, Management School, William Robertson
Building, University of Edinburgh, 50 George Square, Edinburgh, EH8 9JY,
Fax 0131 668 3053, e-mail: [log in to unmask]
SURNAME .....................FORENAME ....................................=
..TITLE.............
JOB TITLE =85=85=85=85=85=85=85=85=85=85=85
ORGANISATION (including full address)
..........................................................................=
....................................................
..........................................................................=
....................................................
..........................................................................=
....................................................
..........................................................................=
....................................................
.ADDRESS FOR CORRESPONDENCE (if different from above)
..........................................................................=
....................................................
..........................................................................=
....................................................
TEL No =85=85=85=85=85=85=85=85. FAX No ..............................E-M=
AIL
Please tick your requirements and complete the total cost:
=A3
Conference Fee
...........
Residential Fee (Bed and Breakfast for 29th and 30th March) ...........
Late Registration Fee .
Total Cost
...........
Payment Enclosed
Invoice Required
SPECIAL DIETARY REQUIREMENTS
............................................................
SIGNATURE ................................................................=
...........DATE ...........
PAYMENT: All cheques should be made payable to =91The University of
Edinburgh=92 and sent to Dr Jake Ansell at above address.
=========================================================================
Date: Wed, 14 Sep 2005 15:53:38 +0100
Reply-To: Angela Wood <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Angela Wood <[log in to unmask]>
Subject: MRC-BSU SEMINAR SERIES - autumn term
MRC BIOSTATISTICS UNIT SEMINAR SERIES - autumn term
(For a full list of seminars and abstracts please see
www.mrc-bsu.cam.ac.uk/BSUsite/Education/seminars.shtml)
Fri 16th September, 2:30pm
Multiple imputation: ready for everyday use?
Professor John Carlin
University of Melbourne & Murdoch Children's Research Institute
Mon 19th September, 11am-12:30pm
Evidence synthesis of competing interventions when there is inconsistency in
how effectiveness outcomes are measured across studies.
Dr Nicola Cooper
Leicester University
AND
Exploring the effect of patient characteristics on effectiveness using a
combination of individual subject and aggregate level data in
an evidence synthesis.
Dr Alex Sutton
Leicester University
25th October
Title: TBA
Dr Ernst Wit
University of Glasgow
8th November
Title: TBA
Professor Louise Ryan
Harvard University
22nd November
Title: TBA
Professor Peter Diggle
Department of Mathematics and Statistics, Lancaster University
****************************************************************
The seminars starts at 2:30pm (unless stated otherwise) in the Large
Seminar, Room, 1st Floor Institute of Public Health, University Forvie Site,
Robinson Way, Cambridge. Tea and coffee are served afterwards. All are
welcome to attend.
=========================================================================
Date: Wed, 14 Sep 2005 16:02:58 +0100
Reply-To: Christine Hockley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Christine Hockley <[log in to unmask]>
Subject: Head of Trials
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I have been asked to circulate the following job advert:-
=20
Head of Trials at the National Perinatal Epidemiology Unit, Oxford
This innovative post is ideal for a self-motivated statistician or =
trialist with strong statistical skills and with skills in effective =
leadership who has experience of working in clinical trials.=20
For more details please see:-=20
http://www.npeu.ox.ac.uk/jobs=20
=========================================================================
Date: Wed, 14 Sep 2005 10:38:38 -0500
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Statistics List
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Dear All,
Is there an equivalent Statistics list to ALLSTAT in the US? I did a
search but could not locate one. Apparently most schools in the US
have their own list. Am I correct?
Raphael
=========================================================================
Date: Wed, 14 Sep 2005 16:45:04 +0100
Reply-To: "Raab, Gillian" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Raab, Gillian" <[log in to unmask]>
Subject: PEAS web site on how to analyse surveys
MIME-Version: 1.0
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The PEAS web site is an ESRC sponsored project to help researchers to
analyse
complex surveys. It contains sections on survey design and software and
a set of six exemplars to illustrate how designs affect survey
properties and to illustrate the use of packages (R,SAS, STATA, SPSS)
for analysing complex surveys. Almost all of the exemplars are taken
from Scottish surveys.
The web reference is=20
http://www.napier.ac.uk/depts/fhls/peas/
We hope that the members of ALLSTAT may find it useful. We have done our
best to check it all but, inevitably, there may still be some things not
working or not clear, so we would still welcome feedback. Please send
any comments/corrections to me Gillian Raab ([log in to unmask])=20
Apologies for any cross-postings.
Professor Gillian Raab
School of Community Health
Napier University
tel 0131 455 5357
fax 455 5359
=20
This message is intended for the addressee(s) only and should not be read=
, copied or disclosed to anyone else outwith the University without the p=
ermission of the sender.
It is your responsibility to ensure that this message and any attachments=
=20are scanned for viruses or other defects. Napier University does not a=
ccept liability for any loss
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Date: Wed, 14 Sep 2005 16:51:25 +0100
Reply-To: "K.J.Mcconway" <[log in to unmask]>
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From: "K.J.Mcconway" <[log in to unmask]>
Subject: Prospective case-control studies
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Dear all,
This may not be the place to be asking the following, but I don't know a =
better place...
I was taught, or learned by osmosis or something, that a case-control =
study to investigate risk factors for a disease or condition is an =
observational study where the participants are selected according to =
their disease status (a group, the cases, that have the disease, and a =
group of arguably comparable controls, that don't have the disease). =
Then information would be somehow acquired on whether (or to what =
degree) the cases and controls had been exposed to some potential risk =
factor or factors, and the exposure in the cases and controls would be =
compared and appropriate conclusions. Since we're almost always looking =
for risk factors that might plausibly have a causal influence on the =
disease, and since cause is supposed to operate forwards in time, the =
exposure to risk would have operated before the disease status of the =
participants was determined. So the position was always, or almost =
always, that you would somehow (from medical records, or recall, or =
whatever) be getting information about exposure to risk that occurred =
some time in the past, which would make the study retrospective.
There might arguably be exceptions to this --- I can think of a study (I =
forget the reference) on the effect of maternal diet on congenital =
neural tube defects, where the cases were affected infants, and the =
controls were unaffected infants, and the 'risk factor' recorded was the =
mothers' current diet, i.e. the diet after the disease status was =
established. I can see an argument, perhaps, for saying such a study is =
not retrospective, but then again I can still see an argument that it =
is, because nobody is presumably suggesting that a mother's diet now =
could cause her child, born last year, to have a neural tube defect, and =
current diet was thus really being used as a proxy for the mother's diet =
before and during the affected pregnancy.=20
However, I now see more and more references in the literature to =
'prospective case-control studies', and it worries me that I do not =
understand what this term means (and that I am thus not able to tell my =
students). If I look up studies that claim to be prospective =
case-control studies, several of them seem simply to be mislabelled --- =
they are investigating the effect of a risk factor, that happens to be =
the presence of some disease, on the presence or absence of some other =
disease or endpoint, so they are really prospective cohort studies, and =
the fact that the cohort is defined in terms of the presence or absence =
of the first disease is a red herring, it's still a cohort study. Others =
do seem really to be case-control studies, and I infer that the basis =
for classifying them as prospective is perhaps that the participants' =
status in relation to the potential risk factor is established after =
their status as a case or control has been ascertained. However, that =
seems to depend on what one considers as the time of 'ascertainment' of =
their exposure. In a case-control study, you can't in one sense =
ascertain exposure to risk until after you know who the participants =
are, so in that sense the ascertainment always occurs after the =
ascertainment of case or control status. But that would make all =
case-control studies prospective. On the other hand, some authors seem =
to distinguish between, say, a study in which the exposure to risk is =
ascertained from existing medical records (which would make it =
retrospective, because the records existed before the case-control =
status was determined, even if nobody had written or looked at the =
records in that sense until after the case-control status was =
ascertained), and a study where the exposure to risk is determined, say, =
by asking the cases and controls (or their relatives) about their =
exposures in the past (which would make it prospective, if I understand =
these authors right). Clearly there is a potentially useful distinction =
between these two kinds of case-control study, in that the first is far =
less subject to obvious kinds of recall bias than is the second. But on =
the other hand, some authors seem to be applying 'retrospective' and =
'prospective' the other way round, unless I've misunderstood them. I =
cannot find a clear definition of a prospective (or for that matter a =
retrospective, in this kind of sense) case-control study in my brief =
searches of the Web and the literature. (I can find several people =
saying that there's no such thing as a prospective case-control study, =
which is what I myself would have said until recently.)
Can someone who knows more than I do about this possibly tell me what =
they think the position is?
Regards,
Kevin
---------------------------
Kevin McConway
Senior Lecturer in Statistics
Department of Statistics
The Open University
Walton Hall
Milton Keynes MK7 6AA, UK
Phone: +44-1908-653676
Fax:=A0=A0=A0=A0=A0 +44-1908-655515
email:=A0=A0 [log in to unmask]
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Date: Wed, 14 Sep 2005 17:29:49 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: Biometrics Projects Manager
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Biometrics Projects Manager
=20
Salary: GBP 40 - 50 p/hour=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South=20
=20
Background:=20
=20
Conduct CRO evaluations and make recommendations for contract placement.
Manage and monitor all Biometrics activities being carried out. Support
non-clinical development in providing statistical advice and
consultancy. Develop in-house statistics processes and procedures.=20
=20
Qualifications:=20
=20
Working knowledge of SAS. Collaborative team orientated approach.
Excellent organisational skills. MSc in Statistics. Working knowledge of
early clinical development would be a distinct advantage.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
=20
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George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
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Date: Wed, 14 Sep 2005 18:42:25 +0100
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Subject: remove me from the list please
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Dear=20Sir/Madam,
=20
Can=20you=20please=20take=20me=20out=20from=20this=20email=20list=20so=20t=
hat=20I=20don't=20receive=20any=20more=20emails.
Thank=20you=20in=20advance,
Rallou=20Perperidou=20([log in to unmask])
This=20email=20has=20been=20scanned=20for=20all=20viruses=20by=20the=20Mes=
sageLabs=20Email
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Date: Wed, 14 Sep 2005 19:16:18 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
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From: Mark O'Brien <[log in to unmask]>
Subject: JOB-Statistician-Pharma Client in the South East
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Dear=20Allstaters,
=20
Here=20is=20our=20latest=20job=20vacancy=20in=20the=20South=20East
=20
Statistician
=20
Salary:=20Excellent=20Salary=20Package=20
=20
Business=20Type:=20Pharmaceutical=20Company=20
Job=20Type:=20Data=20Management/Statistics=20
Position=20type:=20Permanent=20
Location:=20United=20Kingdom=20
=20=20
Background:=20
=20=20
My=20client=20is=20currently=20looking=20for=20a=20Statistician=20to=20joi=
n=20their
expanding=20Biometrics=20group=20in=20the=20South=20East.=20You=20will=20b=
e=20required=20to
provide=20statistical=20input=20and=20expertise=20to=20study=20and=20proje=
ct=20team.
Provide=20input=20to=20international=20clinical=20development=20plans,=20i=
n
co-operation=20with=20the=20International=20Clinical=20Team=20
=20=20
Primary=20Duties:=20
=20=20
Provide=20input=20to=20international=20clinical=20development=20plans,=20i=
n
co-operation=20with=20the=20International=20Clinical=20Team=20*=20As=20a=20=
member=20of=20the
International=20Clinical=20Team,=20bring=20statistical=20expertise=20to=20=
the=20design,
analysis=20and=20reporting=20of=20clinical=20trials=20phases=20I=20to=20IV=
=20*=20Provide=20input
in=20protocol=20development=20*=20Prepare=20statistical=20analysis=20plan=20=
*=20Report
clinical=20studies=20*=20Advance=20in-house=20reporting=20software=20*=20P=
rovide=20general
consultation=20and=20training=20to=20clinical=20development=20staff=20Othe=
r
distinguishing=20features:=20The=20Statistician=20will=20be=20an=20indepen=
dent=20member
of=20the=20study=20team=20working=20in=20CNS=20and=20Anti-infectives,=20an=
d=20will=20work=20on
drugs=20from=20Phase=20I=20-=20IV=20in=20studies=20run=20Europe,=20US=20an=
d=20Japan.=20The
Statistician=20will=20become=20an=20independent=20member=20of=20the=20proj=
ect=20team=20with
project=20responsibilities=20and=20decision-making=20capabilities.=20
=20=20
Qualifications:=20
=20=20
Approximately=203=20years=20relevant=20experience=20within=20Pharmaceutica=
l=20industry
or=20CRO=20*=20Must=20have=20good=20technical=20skills=20*=20Up-to-date=20=
knowledge=20in
statistical=20concepts,=20methods,=20and=20techniques=20*=20International
development=20team=20experience=20is=20advantageous=20*=20Experience=20in=20=
SAS=20/
Statistical=20programming=20
=20
Please=20reply=20with=20an=20up=20to=20date=20CV=20or=20contact=20me=20to=20=
discuss=20in=20more
detail.=20
=20
James=20Harvard=20Pharma=20is=20a=20specialist=20recruitment=20company=20d=
edicated=20to
the=20pharmaceutical=20industry.
=20
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
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il=20
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=========================================================================
Date: Thu, 15 Sep 2005 08:06:28 +0100
Reply-To: "Jon Heron (ALSPAC)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Jon Heron (ALSPAC)" <[log in to unmask]>
Subject: [QUERY] A question about interactions
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Dear all,
it has always been my belief that one could not fit an interaction term in
a regression model unless both main effects were present.
However, I discovered yesterday that Stata permitted
(indeed had a specific command for) the inclusion of an interaction between
a factor and a continuous variable with the factor's main effect.
When is such a model appropriate?
I typically use interactions to test for gender differences in
the effect of a covariate on a binary outcome - is it always appropriate
to include the gender main effect in this case?
many thanks
Jon
--------------------------------------------------
Jon Heron, PhD
Research Statistician
Avon Longitudinal Study of Parents and Children
[log in to unmask]
=========================================================================
Date: Thu, 15 Sep 2005 10:47:46 +0100
Reply-To: Jayne Green <[log in to unmask]>
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From: Jayne Green <[log in to unmask]>
Subject: Research Associate Post - Department of Public Health and Primary
Care, University of Cambridge
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PLEASE REPLY TO THE CONTACT IN THE ADVERTISEMENT BELOW=20
University of Cambridge
Department of Public Health and Primary Care
Research Associate in the Population Impact of Mild Cognitive =
Impairment
=A319460-=A329217 per annum
Limit of tenure - Two years from start date=20
Applications are invited for the above post. The post-holder will have =
a
science or numeracy first degree. A higher degree, either awarded or =
due
for completion, in a numerate subject is desirable. Demonstrable
statistical analysis expertise including use of regression techniques =
is
required together with knowledge of scientific literature searching,
preferably with review experience. Excellent verbal, written and
interpersonal communication skills are also required.
The post-holder will be expected to work in collaboration with others =
as
well as independently in his/her area of expertise and will be =
responsible
for one discrete research area. The research will involve detailed =
analysis
of data collected by the MRC Cognitive Function and Ageing Study. The
research involves investigating mild cognitive impairment in a =
population
setting. The grant has principal investigators in Cambridge and =
Newcastle
and the post-holder will be expected to travel and work in Newcastle =
for
short periods during the grant period.=20
Further Particulars may be obtained from Mrs Val Shadrack, Department =
of
Public Health and Primary Care, Institute of Public Health, University
Forvie Site, Robinson Way, Cambridge, CB2 2SR (tel: (01223) 330321; =
email:
[log in to unmask] <mailto:[log in to unmask]>) or =
can be
viewed at www.iph.cam.ac.uk <http://www.iph.cam.ac.uk> and to whom
applications (including a full CV) should be sent (3 copies), together =
with
Form PD18 (available from =
www.admin.cam.ac.uk/offices/personnel/forms/pd18/
<http://www.admin.cam.ac.uk/offices/personnel/forms/pd18/>). Closing =
date:
27 September 2005. Interviews will be held week beginning 3 October =
2005.
The University of Cambridge offers a range of benefits including =
attractive
pension schemes, professional development, family friendly policies, =
health
and welfare provision and staff discounts. The University is committed =
to
equality of opportunity.
=========================================================================
Date: Thu, 15 Sep 2005 12:45:32 +0200
Reply-To: "Jose M. Bernardo" <[log in to unmask]>
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<[log in to unmask]>
From: "Jose M. Bernardo" <[log in to unmask]>
Subject: Valencia / ISBA Eighth World Meeting on Bayesian Statistics
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Valencia / ISBA Eighth World Meeting on Bayesian Statistics
June 1st-June 7th, 2006
Benidorm (Alicante), Spain
http://www.uv.es/valenciameeting
The scientific programme will include:
(i)=A0 A set of 20 invited plenary thirty minute talks, followed by a
discussion initiated by an invited discussant; these will take place in=20=
the mornings.
(ii) A set 32 twenty minutes plenary contributed oral presentations
selected by the ISBA Conference Programme Committee, which=A0 will take=20=
place in the afternoons.
(iii) A set of plenary poster sessions, the seminal means of=20
communication of research by conference participants, which will take=20
place in the evenings.
The Conference will be preceded by a=A0 one-day set of tutorials,=20
intended to provide a short review
of the main ideas in Bayesian Statistics. The tutorials will be=20
delivered by members of the
Conference Programme Committee and will take place through Thursday=20
June 1st.
Call for ISBA oral presentations
ISBA is organizing a limited number=A0 of contributed oral =
presentations.=20
A total of 32 such presentations will be scheduled, each of 25 minutes=20=
duration (20 minutes talk, 5 minutes for discussion).
Anyone interested in giving an oral presentation is invited to submit=20
an abstract of no more than three pages (including references),=20
accompanied by one additional page listing no more than five relevant=20
published references by the author/s. Any additional pages will not be=20=
considered.
Submissions should be made via email to <[log in to unmask]>.
Please use the header AbstractName where Name is the first author's=20
name. Attach the abstract and accompanying page as .ps, .pdf or .doc=20
files.
Abstracts will be accepted between 1st September and 30th October 2005.=20=
No late submissions will be accepted. The ISBA Conference Programme=20
Committee will review and vote on the submissions during November, and=20=
the list of selected presentations will be available on the conference=20=
website by 15th December 2005.
The ISBA Conference Programme Committee comprises the following: Kerrie=20=
Mengersen (Australia, co-chair), Peter Mueller (USA, co-chair), Herbie=20=
Lee (USA, co-chair Finance), Jose Bernardo (Spain, past Chair; Valencia=20=
Programme Committee), Subashis Ghosal (USA), Paolo Giudici (Italy),=20
Merlise Clyde (USA), Yanan Fan (Australia), Judith Rousseau (France),=20
Cathy Chen (Taiwan), Richard Arnold (New Zealand), Paul Mostert (South=20=
Africa), Robert Wolpert (USA), Josemar Rodrigues (Brazil), Jiangsheng=20
Yu (China), Antonietta Mira (Italy), Mark Steel (UK), Fabrizio Ruggeri=20=
(Italy).
----------------------------------------------------
Prof. Dr. Jose M. Bernardo
Dept. Estadistica, Fac Matematicas
46100-Burjassot, Valencia, Spain
Tel and Fax +34.96.3643560 (direct)
Tel +34.96.3643087, Fax +34.96.3643258 (office)
www.uv.es/bernardo <[log in to unmask]>
----------------------------------------------------=
=========================================================================
Date: Thu, 15 Sep 2005 13:41:08 +0100
Reply-To: "Khayat, Etienne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Khayat, Etienne" <[log in to unmask]>
Subject: probability/computational problem
MIME-Version: 1.0
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Hi,
I would really appreciate any help concerning this subject.
I am trying to solve a problem using probabilistic reasoning. This involves
combinatorial formulas to check the number of events that can occur and the
probability of occurrence of everyone of those events. The number of
possible events has turned out to be huge, in fact in the order of 10^26 (^
= power). I have to revisit every one of those possible events to calculate
its probability of occurrence. I have coded this on a PC using C++ language,
but it will take ages to finish computing using normal loops (we are talking
months). Is there any software that computes probabilistic cases with huge
computational cases. Any other suggestions to get around this problem would
be appreciated.
Many thanks
Etienne
------
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Date: Thu, 15 Sep 2005 15:12:48 -0000
Reply-To: Alastair H Leyland <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alastair H Leyland <[log in to unmask]>
Organization: MRC
Subject: JOB: Temporary data analyst (P/T), Glasgow
Comments: To: multilevel <[log in to unmask]>
MIME-Version: 1.0
content-type: text/plain; charset="iso-8859-1"
content-transfer-encoding: quoted-printable
This is an exciting opportunity for someone with a degree in statistics or a
related discipline to gain valuable experience in a team of applied
statisticians undertaking a programme of research “Measuring health,
variations in health and determinants of health”, in a leading health
research establishment funded by the Scottish Executive Health Department. The
salary will be between =A324,746 and =A326,292 pro rata.
For further details and an application form please write to the MRC Social and
Public Health Sciences Unit, 4 Lilybank Gardens, Glasgow G12 8RZ, quoting ref
AL, e-mail [log in to unmask] or visit our website www.msoc-mrc.gla.ac.uk
The closing is 30 September 2005.
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Alastair H Leyland
MRC Social and Public Health Sciences Unit, University of Glasgow
4 Lilybank Gardens, Glasgow G12 8RZ, Scotland, U.K.
Tel: +44 (0)141 357 7504 Fax: +44 (0)141 337 2389
Email: [log in to unmask]
Web: http://www.msoc-mrc.gla.ac.uk
=========================================================================
Date: Thu, 15 Sep 2005 15:49:47 +0100
Reply-To: Jamie Burnett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jamie Burnett <[log in to unmask]>
Subject: Query - Distance matrix calculation in Hierachial cluster analysis
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Hi,=20can=20anyone=20help?
I=20am=20trying=20to=20run=20Wards=20hierarchical=20cluster=20analysis=20o=
n=20a=20set=20of
binary=20variables=20using=20Jaccards=20coefficient=20as=20a=20measure=20o=
f=20similarity,
however=20SPSS=20is=20failing=20to=20run=20the=20clustering=20because=20it=
=20is=20saying=20there
are=20too=20many=20missing=20distances=20in=20the=20proximity=20matrix?
Warnings
WEIGHT=20command=20is=20currently=20in=20effect.=20This=20command=20is=20i=
gnored=20by
CLUSTER.
The=20squared=20Euclidean=20measure=20should=20be=20used=20when=20the=20CE=
NTROID,=20MEDIAN,
or=20WARD=20cluster=20method=20is=20requested.
The=20proximity=20matrix=20contains=20too=20many=20missing=20distances.=20=
CLUSTER
procedure=20cannot=20continue.
This=20command=20is=20not=20executed.
Can=20anyone=20tell=20me=20why=20this=20would=20be=20the=20case?=20We=20th=
ought=20that=20it=20might
be=20because=20there=20weren't=20many=20respondents=20who=20shared=20the=20=
trait=20of
interest=20or=20indeed=20have=20the=20trait=20of=20interest=20so=20we=20wo=
uld=20end=20up=20with=20a
denominator=20=3D=200?=20
=20=20=20Jaccard's=20coefficient=20=3D=20=20a=20/=20(a=20+=20b=20+=20c),=20=
=09so=20a+b+c=20=3D=200.
Based=20on=20the=20table=20below
=09=09=09Respondent=202
Respondent=20=091=091=09=090
=09=091=09a=09=09b
=09=090=09c=09=09d
Thanks
Jamie
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D
Disclaimer
This=20e-mail=20is=20confidential=20and=20intended=20solely=20for=20the=20=
use=20of=20the
individual=20to=20whom=20it=20is=20addressed.=20Any=20views=20or=20opinion=
s=20presented=20are
solely=20those=20of=20the=20author=20and=20do=20not=20necessarily=20repres=
ent=20those=20of
MORI=20Limited.=20
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you=20have
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Date: Thu, 15 Sep 2005 16:18:54 +0100
Reply-To: Allan Reese AFH CEFAS <[log in to unmask]>
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<[log in to unmask]>
From: Allan Reese AFH CEFAS <[log in to unmask]>
Subject: Comment on Jaccard coefficient
Comments: To: Jamie Burnett <[log in to unmask]>
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By coincidence, I wrote on ENVSTAT earlier this week about Jaccard's =
coefficient. As ENVSTAT is far smaller and less active than ALLSTAT, =
I'll reproduce the message.
Regarding Jamie's query, the Jaccard coefficient is either not =
appropriate or is being miscalculated, since it reduces to the ratio of =
shared to total traits and the denominator would be zero only if neither =
object demonstrated any trait of interest. I also note the "weights in =
force" warning, which might indicate data had been omitted in =
calculating the similarities before getting to the CLUSTER command. =
General advice with SPSS: change the stupid default that commands are =
not written into the output.
[From ENVSTAT 12/9/05]
I was just asked about similarity coefficients and found 100+ hits on =
Google for ("coefficients of similarity" Jaccard). As similarity =
formulae should be symmetrical, I immediately smelled a rat when seeing =
formulae like this (copied from a PDF of a journal paper:
According to Hellawell (1978) and Magurran (1988), three coefficients =
for comparing community species lists are commonly used, namely Jaccard =
(1912), Kulezynski (1928), and S=F8renson (1948). These indices each =
have a scale, which ranges from 0 =3D no association, to 1 =3D maximum =
association. The indices are:
Jaccard (1912): J =3D c/a + b - c [ c being common species, a and b =
being numbers of species at each site ]
... [but compare to what Jamie wrote!!]
That formula is nonsensical but was repeated on several other web pages. =
Another ref gave
J =3D c / (c + N1+ N2)
which still does not ring true if N1 and N2 are (as stated) the numbers =
of species at each site.
A third ref, by three Indian computer scientists, gave:
Ji =3D x11 / ( x11 + x10 + x01 ) [Subscript indicating present at =
one or both sites]
which at last makes sense, because a similarity measure should only have =
values between 0 and 1 (identical). The subscripts indicate items in =
common or ONLY at ONE site.
I do not recall any previous experience of seeing such slap-dash =
representation of formulae. The few results quoted in the first paper =
suggested they had not used the formula as shown, but might have used c =
/(a+b-c). It is then "obvious" - perhaps - that the denominator is the =
total number (t) of species at *either* site, so the coefficient is the =
ratio of common species to total species.
I'm now wondering whether Jaccard's coefficient is termed a qualitative =
measure because it does not use abundance measures, but only =
presence/absence, or because it does not allow for the sample size. Two =
sites (c=3D3 t=3D4) are rated more similar than another two (c=3D70 =
t=3D100) whereas the much larger diversity would allow for more rare =
species.
Allan Reese
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_____________________________________________________________________
Homepage for envstat list: http://www.jiscmail.ac.uk/files/envstat =20
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]]On Behalf Of Jamie Burnett
Sent: 15 September 2005 15:50
To: [log in to unmask]
Subject: Query - Distance matrix calculation in Hierachial cluster
analysis
Hi, can anyone help?
I am trying to run Wards hierarchical cluster analysis on a set of
binary variables using Jaccards coefficient as a measure of similarity,
however SPSS is failing to run the clustering because it is saying there
are too many missing distances in the proximity matrix?
Warnings
WEIGHT command is currently in effect. This command is ignored by
CLUSTER.
The squared Euclidean measure should be used when the CENTROID, MEDIAN,
or WARD cluster method is requested.
The proximity matrix contains too many missing distances. CLUSTER
procedure cannot continue.
This command is not executed.
Can anyone tell me why this would be the case? We thought that it might
be because there weren't many respondents who shared the trait of
interest or indeed have the trait of interest so we would end up with a
denominator =3D 0?=20
Jaccard's coefficient =3D a / (a + b + c), so a+b+c =3D 0.
Based on the table below
Respondent 2
Respondent 1 1 0
1 a b
0 c d
Thanks
Jamie
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D
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Date: Thu, 15 Sep 2005 16:24:22 +0100
Reply-To: Simon Ellis <[log in to unmask]>
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From: Simon Ellis <[log in to unmask]>
Subject: JOB:Biostatistician- Germany
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Dear Allstat
=20
We are currently seeking a Senior Biostatistician for a major
pharmaceutical company in Germany.
=20
Candidates should have at least 3 years experience performing
statistical trial analysis of phase II-IV clinical trials. =20
The ideal person will also have experience of oncology trials.
=20
This is an opportunity to develop a career within a major drug company
with a progressive policy towards personal development.
=20
If this could potentially interest you please contact me for further
information.
=20
Kind Regards
=20
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
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Date: Thu, 15 Sep 2005 17:04:28 +0100
Reply-To: [log in to unmask]
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From: Helen Brown <[log in to unmask]>
Subject: Senior Statistician NHS QIS Glasgow
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Please see advert below for part-time senior statistician post (fixed ter=
m).
We are a national body, working with health care professionals and the pu=
blic to
improve the quality of health services in Scotland.
Senior Statistician (Part Time)
One year fixed term contract/possible secondment opportunity
=A346,300 to =A350,080 pro rata (Clinical Scientist Grade C - under revie=
w)
Glasgow based (Ref: GS21/AS)
The post requires you to provide statistical input to a range of NHS QIS =
work
aimed at improving the quality of healthcare delivered by NHSScotland. Y=
ou
will be responsible for the assessment of clinical effectiveness and mode=
lling
cost-effectiveness. Statistical advice may also be required during the
production of guidance, standards and guidelines, or during the assessm=
ent of
clinical outcome indicators or clinical audit.
Educated to degree level in mathematics or statistics, preferably with a
postgraduate / professional qualification or demonstrable ability to
statistically model complex information. In addition to proven ability in
secondary research, you will have extensive understanding of the design a=
nd
analysis of primary research combined with a pragmatic and creative appro=
ach to
problem solving. Familiarity with the structure of the health service in
Scotland, clinical datasets and health economics would be an advantage.
Closing date: Monday 10 October 2005 @ noon
Please note: CV=92s will not be accepted without completed application fo=
rms
Committed to equal opportunities.
For an information pack to be sent electronically, email
[log in to unmask] quoting the reference number on the subj=
ect
line or contact HR Unit, NHS Quality Improvement Scotland, Edinburgh Offi=
ce,
Elliott House, 8-10 Hillside Crescent, Edinburgh EH7 5EA.
www.nhshealthquallity.org
NHS QIS is subject to review under Agenda for Change, NHSScotland Pay
Modernisation. Therefore Terms and Conditions outlined may be subject to
change. NHS QIS Head Office is to relocate to the eastern half of Glasgow=
by
May 2007, which will become the new base.
=========================================================================
Date: Thu, 15 Sep 2005 17:34:46 +0100
Reply-To: George Vernon <[log in to unmask]>
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<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: CONTRACT: SAS Programmer
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=20
CONTRACT: SAS Programmer
Salary: GBP 30k, DOE =20
=20
Business Type: Contract Research Organisation =20
Position type: Interim/Temporary =20
Location: Switzerland=20
=20
Background: =20
=20
My client has a vacancy for a SAS Programmer for 6 months. The contract
will start ASAP for an initial period of 6 months. The role can be based
from Paris or Basel and requires a candidate with 18 months+ experience
of Programming in SAS within the clinical arena. There is a strong
possibility of contract renewal with this organisation. =20
=20
Additional Information: =20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. =20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-3030'. =20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
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the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
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Date: Thu, 15 Sep 2005 18:19:47 +0100
Reply-To: Chris Tracey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Tracey <[log in to unmask]>
Subject: Extending a truncated probability distribution ()
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Fellow Allstaters
I've a query which I hope you might be able to help me with. The query refers
to the following two data series:
Series 1 Series 2
TIME 1 6.70% 5.90%
TIME 2 1.40% 1.70%
TIME 3 1.90% 1.60%
TIME 4 2.50% 1.40%
TIME 5 2.30% 1.90%
TIME 6 2.40% 1.80%
TIME 7 2.40% 2.20%
TIME 8 2.70% 1.70%
TIME 9 3.30% 1.80%
TIME 10 4.30% 1.80%
TIME 11 4.60% 2.30%
TIME 12 6.30% 2.00%
TIME 13 58.40% 2.10%
TIME 14 2.10%
TIME 15 2.20%
TIME 16 2.80%
TIME 17 2.90%
TIME 18 4.00%
TIME 19 4.10%
TIME 20 4.70%
TIME 21 47.90%
The series show the proportion of people who receive an insurance or social
security benefit for particular lengths of time. For the first series the
benefit is time-limited to 13 week. The second series shows what happened to
the proportions when the time limit was extended to 21 weeks.
My question relates to whether we can use these two time-series to model
extending the time limit further (say by another 8 weeks). If you eyeball the
two data series you see that the probability distributions are very similar i.e
the proportions are very low (after the first week), increase slowly up to the
week before the time-limit with the final week containing the largest group :
however the proportions for any given week are usually lower in the second
series because of the longer time-limit:
My question is what would be the best statistical technique to identify the
relationship between the two time-series with a view to modelling the impact of
extending the time-limit by a further 8 weeks.
Thanks in advance for your help.
Chris
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Date: Fri, 16 Sep 2005 08:12:13 +0100
Reply-To: "Schofield J.M." <[log in to unmask]>
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From: "Schofield J.M." <[log in to unmask]>
Subject: SHORT COURSE UK
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SHORT COURSE
Survey Data Analysis I:
Introducing Descriptive and Inferential Statistics
Dr Gabriele B. Durrant
9, 10, 11 November 2005
University of Newcastle upon Tyne
Course Objectives:
To develop an understanding of the basic principles of statistical =
analysis.
To enable participants to employ appropriate methods of presenting data =
in research reports and papers.
Course Content:
Overview
Review of descriptive statistics
Confidence intervals for means and proportions
Setting up and testing hypotheses
Tests of statistical significance
Two sample tests for means and proportions
One-way analysis of variance
Association in tables
The course will include workshop sessions so that participants can work =
through practical exercises, and computer practicals using SPSS for =
Windows and real survey data. =20
Fee:=20
=A3400 (includes course materials, lunches and morning and afternoon =
tea, but not accommodation which is to be arranged by the participant). =
Because of ESRC support, a number of bursaries are available which =
reduce the fee to =A3120 - applicants must be UK registered students, UK =
academic staff or ESRC-funded researchers. =20
Location:
The course will be held at the University of Newcastle upon Tyne. =20
Duration:=20
The course will begin with coffee and registration at 09.30 a.m. on =
Wednesday,=20
9 November and end at 14.30 p.m. on Friday, 11 November. On Friday =
afternoon there will be an opportunity for participants to discuss with =
the instructor how to analyse their own data.
For more information please contact:
Jane Schofield
[log in to unmask]
--=20
Jane Schofield
Southampton Statistical Sciences Research Institute
University of Southampton
[log in to unmask]
Tel: +44 (0) 2380 595376
=20
=========================================================================
Date: Fri, 16 Sep 2005 08:41:42 +0100
Reply-To: Roger Massey <[log in to unmask]>
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<[log in to unmask]>
From: Roger Massey <[log in to unmask]>
Subject: Statistical Consultant Vacancy, London
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Statistical Career Vacancy, London To =A330K
Working within the general insurance actuarial practice of a major
consultancy this position offers varied R&D work together with client
exposure. Their open plan office environment is located on the South bank
of the Thames with views over the city.
Candidates should have a PHD or be able to demonstrate equivalent high
academic standard, self motivated with ideally some commercial experience.
The team is young but experienced, sociable and supportive. Given the R&D
nature of the role there is the potential for working from home 2 to 3 days
a week and the possibility for developing outside of a pure statistician
role.
This is a permanent role which provides an environment in which it is
possible to devlop a career path that is tailored to the needs of the
individual. It is an excellent opportunity for the right individual.
If you fit the bill and would like to receive the full role description=20
please get in touch.
Contact: Roger Massey BSc MBA FIA
Managing Director
The Actuarial Recruitment Company
e-mail: [log in to unmask] or call on 01908 501423 (anytime)
=========================================================================
Date: Fri, 16 Sep 2005 11:43:25 +0100
Reply-To: Elizabeth Hensor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Elizabeth Hensor <[log in to unmask]>
Subject: QUERY: use of Stuart-Maxwell test
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Dear Allstatters,
I was recently involved in a study looking at the performance of two
methods of assessment in relation to an existing 'gold standard', where
the outcome of interest is hernia (judged to be present/absent). I
calculated exact agreement, sensitivity, specificity, positive
predictive value, and negative predictive value. I have all of these
measures for each of the two methods under scrutiny, relative to the
gold standard. The specificity and positive predictive values of the two
methods were identical. The sensitivities of the two methods, and their
negative predictive values, differed so I wanted to statistically
compare each pair of proportions. I originally used z-tests, but one
reviewer has pointed out that the measures I'm calculating for each
method are not independent. He/she suggests a Stuart-Maxwell test. This
is unfamiliar to me but from what I've read it seems similar to the
McNemar test. I'm struggling slightly because one needs to create a k x
k table (in this case 2 x 2) to run the test. This is possible for the
sensitivity data (proportion of true positives identified as such),
because the numbers of patients in the table is fixed (the number
assessed by the gold standard method to have a hernia present). My 2 x 2
table includes only these patients, and the cells are created by the
disagreements between the two methods of assessment under investigation.
However, in the case of negative predictive value (proportion of test
negatives that are truly negative), the numbers of patients are not
fixed because each of the methods under scrutiny has judged a different
number of patients to be test-negative. How can I construct a 2 x 2
table here? Am I missing something obvious? I have found an online
calculator that compares these measures - it says it uses the
Chi-squared distribution with one degree of freedom but doesn't go into
detail (http://www.son.wisc.edu/rdsu/stat_routines/contrast.html) -
however I don't like relying on undocumented online calculators. If you
have any suggestions as to how I should compare sensitivity and NPV
between two different methods of assessment I'd be very grateful for
your responses.
Thanks,
Liz Hensor
=20
Dr Elizabeth M A Hensor PhD
Data Analyst
Academic Unit of Musculoskeletal and Rehabilitation Medicine
36 Clarendon Road
Leeds=20
West Yorkshire
LS2 9NZ
Tel: +44 (0) 113 3434944
Fax: +44 (0) 113 2430366
[log in to unmask]
=20
=========================================================================
Date: Fri, 16 Sep 2005 14:45:46 +0100
Reply-To: "Richard E. Chandler" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Richard E. Chandler" <[log in to unmask]>
Subject: ANNOUNCE: RSS/IBS meeting on climate change impacts
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
With apologies for cross-postings:
The ROYAL STATISTICAL SOCIETY - ENVIRONMENTAL STATISTICS SECTION
and INTERNATIONAL BIOMETRIC SOCIETY - BRITISH REGION
are holding a joint meeting entitled
CLIMATE CHANGE IMPACTS
on MONDAY 17TH OCTOBER 2005, 11am - 5.30pm
at The Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX
SUMMARY: Under the influence of increasing greenhouse gases we expect the
climate to change over the next century. How will a changing climate impact
our lives? This meeting will address this issue and will look at effects on
health, agriculture, fisheries and flooding. Speakers include Sari Kovats
(LSHTM), Chris Thomas (University of Durham), Goetz Richter (Rothamsted
Research), Allan Reese (CEFAS) and Nick Reynard (CEH Wallingford).
Abstracts for the talks are not yet available, but will be placed on both
the RSS ESS website (http://www.rss.org.uk/main.asp?page=2193)and the
IBS-BR website (http://www.maths.qmw.ac.uk/~rab/biometrics/meet.html) in
due course.
No pre-registration is required.
=====================================================================
Richard E. Chandler
^^^^^^^^^^^^^^^^^^^
Room 135, Dept of Statistical Science, University College London,
1-19 Torrington Place, London WC1E 6BT, UK
Tel: +44 (0)20 7679 1880 Fax: +44 (0)20 7383 4703
Internet: http://www.ucl.ac.uk/Stats (department)
http://www.homepages.ucl.ac.uk/~ucakarc (personal)
email: [log in to unmask]
---------------------------------------------------------------------
=========================================================================
Date: Fri, 16 Sep 2005 16:01:46 +0100
Reply-To: Alan Brophy <[log in to unmask]>
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<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Contract Statistician - UK
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Dear Allstat,
=20
Contract Statistician - South East UK
=20
Assignment: 12 month contract for experienced Statistician
=20
Requirements: 4+ years experience on clinical trials, Strong SAS =
Skills,
Strong technical Stats knowledge
=20
Start Date: ASAP - But will wait for notice periods
=20
Rates: c=A340/hour - Dependent on experience
=20
Location: South East UK
=20
Call Alan On 020 7 255 66 00 for full details
=20
Please feel free to forward this to any colleagues who may be =
interested in
this position.
=20
Kind regards,
=20
Alan Brophy
SEC Recruitment, London
0207 255 66 00
=========================================================================
Date: Fri, 16 Sep 2005 17:42:46 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Associate Director, Biostatistics
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Associate Director, Biostatistics
=20
Salary: GBP 45K + excellent package=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
Contributes to clinical development strategy. Assists in the
developments of study CRFs and provides randomisation schedule for
clinical trials. Assists with study implementation, including database
design, variable name assignments, and edit specifications. Generates
programs and SAS macros to produce ready-to-use tables, graphs, listings
and appendices. Writes the statistical methodology section(s) of study
reports. Interacts with appropriate personnel (internally and at the CRO
level) to endure proper construction of derived SAS datasets needed for
the analysis of clinical trials and relevant CTD components. Represents
the sponsor for statistical issues in communications with regulatory
authorities. Develop SAPs. Produces formal overviews. Writes statistical
sections of regulatory documents.=20
=20
Qualifications:=20
=20
M.S in biostatistics or closely relates field is required. Ph.D in
biostatistics or closely related field is preferred. 5 years of relevant
pharmaceutical development experience. Familiarity with complex
statistical methods that apply to all phases of clinical trials. Strong
SAS programming skills - a clear understanding of computerised data
structures and knowledgeable in windows based computer systems and
applications.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please complete the online application or contact us for
further information. Please quote reference 'grv3913'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask]
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take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Sat, 17 Sep 2005 10:19:25 +0200
Reply-To: Lola Ugarte <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lola Ugarte <[log in to unmask]>
Subject: Inetrnational Workshop on Spatio-Temporal Modelling
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Dear friends,
This message is to let you know about the following workshop:
INTERNATIONAL WORKSHOP ON SPATIO-TEMPORAL MODELLING (METMA3)
Dates: 27th, 28th and 29th of September 2006
Place: Pamplona, Spain
E-mail: [log in to unmask]
Web site: http:// www.unavarra.es/metma3/
Sincerely.
Lola Ugarte
Chair of the Organizing Committee
=========================================================================
Date: Mon, 19 Sep 2005 09:45:24 +0100
Reply-To: Jonny Steel <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonny Steel <[log in to unmask]>
Subject: Job Vacancy - Biostatistician
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Content-Transfer-Encoding: quoted-printable
>=20BIOSTATISTICIAN
>=20
>=20To=20=A332,000=20+=20Benefits=20Package=09West=20Yorkshire
>=20
>=20Our=20client=20is=20the=20world>=20'>=20s=20most=20broadly=20based=20m=
anufacturer=20of=20healthcare=20products=20servicing=20in=20excess=20of=20=
150=20countries=20in=20pharmaceutical,=20consumer,=20medical=20device=20an=
d=20diagnostic=20markets.=20=20
>=20
>=20Reporting=20to=20the=20Technical=20System=20Manager,=20this=20dynamic=20=
and=20challenging=20opportunity=20has=20arisen=20to=20provide=20statistica=
l=20expertise=20(study,=20design,=20same=20size=20calculation,=20statistic=
al=20reports=20etc)=20and=20support=20to=20Research=20&=20Development=20an=
d=20other=20Departments,=20as=20a=20key=20member=20of=20the=20Internationa=
l=20Clinical=20Research=20Team.=20=20Extensive=20liaison=20will=20be=20req=
uired,=20both=20internally=20and=20externally.
>=20
>=20Educated=20to=20degree=20level=20(or=20equivalent)=20in=20Statistics,=20=
Biomedical=20Statistics=20or=20similar,=20you=20will=20be=20ideally=20able=
=20to=20demonstrate=20a=20minimum=2012=20months=20experience=20within=20th=
e=20Medical=20Device=20or=20Pharmaceutical=20industry=20and=20will=20be=20=
familiar=20with=20relational=20database=20and=20SAS=20or=20SPSS=20statisti=
cal=20analysis=20software.=20=20A=20straight=20graduate=20will=20be=20cons=
idered=20with=20a=20degree=20in=20Medical=20Statistics.=20Well-developed=20=
communication,=20presentation=20and=20organisational=20skills=20will=20be=20=
crucial=20to=20your=20success=20in=20the=20role.
>=20
>=20An=20attractive=20remuneration=20package,=20including=20relocation=20a=
ssistance=20(where=20appropriate),=20reflects=20the=20importance=20of=20th=
is=20role.
>=20
>=20Please=20reply,=20in=20the=20first=20instance=20with=20full=20curricul=
um=20vitae,=20quoting=20RCBS=20in=20the=20subject=20field,=20to:=20=20jonn=
[log in to unmask],=20or=20to=20Jonny=20Steel,=20Quantica=20Search=20=
&=20Selection,=20Quantica=20House,=20Lowfields,=20Elland,=20Halifax,=20Wes=
t=20Yorkshire=20HX5=209DF.=20=20Tel:=2001422=20370011.=20=20Visit=20our=20=
website:=20www.quantica.co.uk
>=20
>=20
>=20Jonny=20Steel
>=20Recruitment=20Advisor
>=20
>=20QUANTICA=20search=20&=20selection
>=20Tel:=2001422=20370011
>=20Mob:=20See=20business=20card
>=20http://www.quantica.co.uk
>=20mailto:[log in to unmask]
>=20
>=20Our=20business=20grows=20through=20referrals,
>=20please=20feel=20free=20to=20forward=20my=20e-mail
>=20address=20to=20your=20colleagues.
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
>=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Mon, 19 Sep 2005 10:56:10 +0100
Reply-To: Gill Meadows <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gill Meadows <[log in to unmask]>
Subject: 2004 Annual Population Survey
The Annual Population Survey is a major new survey of approximately 65,000
achieved household interviews each year. Key topics in the survey include
education, employment, health and ethnicity. The survey is deposited with
ESDS in two forms:
(1) As a dataset available under a special licence that contains
considerable detail, including local authority identifiers:
www.data-archive.ac.uk/findingData/apsTitles.asp
(2) As a dataset available under the usual ESDS End User Licence that
contains less detail. This dataset is currently being prepared for release.
A brief description of the difference between the files is available at
http://www.esds.ac.uk/government/aps/index.asp
If you think you may require the special licence dataset you should read the
access conditions carefully
(http://www.data-archive.ac.uk/orderingdata/specialLicence.asp) to check
whether you meet the specified criteria. It is essential to be able to
demonstrate why you need the additional detail only available under a
special licence.
It is also important to read the Guide to good practice: micro data handling
and security (www.esds.ac.uk/news/microDataHandlingand Security.pdf) that
explains how to meet the security conditions required for data disseminated
under a special licence.
=========================================================================
Date: Mon, 19 Sep 2005 14:09:04 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
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Dear Allstaters,
Please find below information on the forthcoming RSS Leeds/Bradford
Local Group Meeting. Further details can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Tuesday 11 October, 2.30pm, Lecture Theatre X, Worsley
Building, University of Leeds (tea from 2pm)
Joint meeting with Medical Section
Environmental Epidemiology
Speakers to include:
Patrick Sanders (Health Protection Agency, Birmingham)
The public health impact of landfill waste sites
Richard Feltbower and Samuel Manda (University of Leeds)
Detecting similarities in the spatial distribution of childhood leukemia
and type 1 diabetes using Bayesian smoothing.
Christopher Robertson and Christina Yap (University of Strathclyde)
The Long Term Effects of Environmental Pollution on Cause Specific
Mortality in Scotland
=========================================================================
Date: Mon, 19 Sep 2005 14:18:44 +0100
Reply-To: Elizabeth Hensor <[log in to unmask]>
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<[log in to unmask]>
From: Elizabeth Hensor <[log in to unmask]>
Subject: SUMMARY: Use of Stuart-Maxwell test
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Dear all,
I received some very helpful responses to my original query, which I
include below. A couple of you suggested ROC curve comparison, which
might have been an option if my sample size hadn't been so small, and if
there had been a higher proportion of patients who were judged 'normal'
by the gold standard (neither was possible due to the nature of the
study, which used surgical outcome as the gold standard so the design
was ethically constrained). A few of you enlightened me as to the nature
of the Stuart-Maxwell test, in that it is the same as McNemar's test
when applied to 2 x 2 tables, but can be extended to k x k tables. Susan
Mallett provided me with a reference she had found, which promised to
help me statistically compare PPV and NPV, but the amount of effort and
time it would have required to implement seemed disproportionate to the
value of the information (and would probably not have been feasible
within the journal response window). Robert Newcombe kindly provided me
with an excellent Excel spreadsheet that exactly met my needs with
regards to simultaneously comparing the sensitivities and specificities
of my two methods of assessment, by providing confidence intervals for
the differences. I have therefore opted for using Stuart-Maxwell tests
to assess whether, for example, the findings of test A differ
significantly from those of the gold standard, where the outcome has
more than two levels. I have used McNemar's test to compare the
sensitivities and specificities of tests A and B (each relative to the
gold standard), where the outcome is binary, and have provided 95%
confidence intervals for the differences between them. I have described
PPV and NPV for each test, and provided confidence intervals, but have
not compared the values using any particular statistical test. Thanks to
everyone who responded - you all helped immensely.
Liz
Summary of original query:
I was recently involved in a study looking at the performance of two
methods of assessment in relation to an existing 'gold standard', where
the outcome of interest is hernia (judged to be present/absent). The
specificity and positive predictive values of the two methods were
identical. The sensitivities of the two methods, and their negative
predictive values, differed so I wanted to statistically compare each
pair of proportions. I originally used z-tests, but one reviewer has
pointed out that the measures I'm calculating for each method are not
independent. He/she suggests a Stuart-Maxwell test. This is unfamiliar
to me but from what I've read it seems similar to the McNemar test. I'm
struggling slightly because one needs to create a k x k table (in this
case 2 x 2) to run the test. In the case of negative predictive value
(proportion of test negatives that are truly negative), the numbers of
patients are not fixed because each of the methods under scrutiny has
judged a different number of patients to be test-negative. How can I
construct a 2 x 2 table here? If you have any suggestions as to how I
should compare sensitivity, specificity, PPV and NPV between two
different methods of assessment I'd be very grateful for your responses.
Responses:
1. From Susan Mallett: I've recently been doing this - comparing 2
diagnostic tests against each other to a reference test.
Comparing sensitivities I used a 2 x 2 table of test 1 against test 2
which includes only disease positive persons (judged by the reference
test). I then used a standard comparison of proportions. Similarly for
specificity, this is a separate set of persons, the disease negative (by
the reference test) - with a similar 2 x 2 table of test 1 against test
2.
Comparing PPV and NPV is much harder. I found a very useful reference.
Leisenring, Alonzo, Pepe 2000 Biometrics vol 56 pp345. This paper
explains the problem of the correlation and how to analyse the data.
It's not easy. In my case a comparison of NPV and PPV was not that
important, so I haven't actually done the method suggested.
2. From Robert Newcombe [[log in to unmask]]: The Stuart-Maxwell
test is simply the extension of the McNemar test to a meaningfully
square (i.e. same marginal categories) k * k table. So no added value
in doing so. Besides, you should be concerned re effect sizes and
confidence limits, not just p-values.
I'm attaching two spreadsheets. CIPROPORTION.XLS obtains CIs for
proportions and their differences. The third block deals with the
paired difference case, and can be used to compare sensitivity between
the two tests A and B in relation to the gold standard G. Similarly,
you can compare specificity. These are the basic quantities - I
wouldn't bother comparing PPVs, or NPVs, between the two tests, and
certainly don't calculate "exact agreement" (aka "overall accuracy"),
which depends too crucially on casemix. But, of course, you would like
to compare sensitivity and specificity of A and B simultaneously, in
terms of their ability to predict G. I have developed the spreadsheet
SESPPAIRED.xls to do just this. For a full explanation please see
Newcombe RG. Simultaneous comparison of sensitivity and specificity of
two
tests in the paired design: straightforward graphical approach.
Statistics in Medicine 2001, 20, 907-915.
3. From Rosemary Tate: Just a thought - as I'm not at all an expert on
this - but have you thought of testing the two ROC curves to see which
gives the best AUC?=20
This compares the performance of two or more tests and if they are
significantly different.=20
I know stata has routine to do this - rocfit I think. But there is also
an online free package for doing it - can't remember what it is called.
4. From Martin Bland: This test compares the distribution of two
categorical variables in matched samples. My free DOS program Clinstat
does it. It does not take ordering of categories into account. The
references are:=20
Stuart, A. (1955) A test for homogeneity of the marginal distributions
in a two-way classification. /Biometrika/ *42* p412.
Maxwell, A.E. (1970) Comparing the classification of subjects by two
independent judges. /British Journal of Psychiatry/ *116* p651-5.
For two sensitivities you need only the McNemar, because the
denominators are the same people, those who are positive on the gold
standard.
For NPV, as you say, you have a problem. I can't see how you would use
this test for NPVs.
5. From Zoann Nugent: Can't you compare the whole result of both tests
by comparing their ROC curves?
6. From Martin Holt: When k=3D2, the Stuart-Maxwell test gives the same
result as McNemar's test. Also, it pays no attention to the ordering,
i.e. your scale could be nominal or ordinal, you'd get the same result.
Rather negative help, I'm sorry, but I thought I'd pass it on.
7. From Philip McShane: It seems to me that you are overlooking the
relations between these estimates, which impose constraints. Therefore
testing differences on all 4 is somewhat meaningless. You would be
better doing McNemar's test on the whole lot. I think the only way you
can get the results you say is if the number of positive results differs
between the methods.
Dr Elizabeth M A Hensor PhD
Data Analyst
Academic Unit of Musculoskeletal and Rehabilitation Medicine
36 Clarendon Road
Leeds=20
West Yorkshire
LS2 9NZ
Tel: +44 (0) 113 3434944
Fax: +44 (0) 113 2430366
[log in to unmask]
=========================================================================
Date: Mon, 19 Sep 2005 15:03:20 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Christian Farinetto <[log in to unmask]>
Subject: sas prgraming ressources
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Dear Allstaters,
I am asked to teach an introductory course on SAS programing in the near future
to postgraduates.
Could somebody give me details on available (preferably free) ressources on this
topic? I am also be interested on material concerning simulation of stochastic
processes using SAS.
Many thanks in advance.
Dr. Christian Farinetto.
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Date: Mon, 19 Sep 2005 16:56:14 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Sample size calculations for multivariate analyses
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Dear allstaters
I would be most interested to learn of any suitable formulae which can be used to perform restrospective statistical power calculations based on adjusted odds ratios and sample sizes from a binary logistic regression analysis. Presumably, the recognized formulae used with univariate odds ratios and known sample sizes to calculate statistical power will not work here.
Also, I have an analogous query with respect to the adjusted relative risks obtained from a Cox regression analysis.
Thank you for your interest.
Best wishes
Margaret
---------------------------------
How much free photo storage do you get? Store your holiday snaps for FREE with Yahoo! Photos. Get Yahoo! Photos
=========================================================================
Date: Mon, 19 Sep 2005 16:52:11 +0100
Reply-To: Charles Clement <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Charles Clement <[log in to unmask]>
Subject: JOB: Senior Sampling Manager - North West London
MIME-Version: 1.0
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Senior Sampling Manager - Ipsos UK
The Role
Ipsos UK, one of the largest market research agencies in the UK, is looking
for a Senior Sampling Manager to lead its team of sampling executives.
Your responsibilities will include the construction of random probability
and stratified samples for Ipsos UK's high profile face to face surveys
across the UK. You will also provide sample to our growing CATI centre on a
range of different surveys.
The role has as much potential as you do. You will be advising on software
required and also be expected to use your sampling knowledge to suggest
improvements to existing methods and processes used on existing surveys.
You will also maintain all the geo-demographic databases used for sampling.
The Requirements
You will have a sound base in sampling theory complemented with extensive
experience of sampling in practice, probably in a market research
environment. You will be an experienced programmer in a variety of
languages and statistical software packages and will be able to set up
sampling systems by yourself as well as coaching and supervising junior
members of the team in both sampling and programming.
You will have excellent communication skills and be able to work closely
with all the other operational functions to ensure the smooth and efficient
running of all surveys.
You will receive a competitive salary and an outstanding range of flexible
benefits. To apply, please send your CV and a brief covering letter to
Charles Clement at the following address: [log in to unmask]
> Charles Clement
> Human Resources Executive
>
> T +44 20 8861 8151
> F +44 20 8515-3440
> E [log in to unmask]
> W www.ipsos-uk.com
>
> Ipsos UK ...understanding people
>
> Kings House, Kymberley Road, Harrow, HA1 1PT
>
>
### This e-mail and all attachments it may contain is confidential and
intended solely for the use of the individual to whom it is addressed. Any
views or opinions presented are solely those of the author and do not
necessarily represent those of Ipsos UK and its associated companies. If you
are not the intended recipient, be advised that you have received this
e-mail in error and that any use, dissemination, printing, forwarding or
copying of this e-mail is strictly prohibited. Please contact the sender if
you have received this e-mail in error. ###
=========================================================================
Date: Mon, 19 Sep 2005 17:28:55 +0100
Reply-To: Alistair Murray <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alistair Murray <[log in to unmask]>
Subject: JOB Senior Statistician, Central Science Lab, York, UK
MIME-Version: 1.0
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Senior Statistician (permanent) from =A325,981
Reference: CSP 2933
Background
The Central Science Laboratory (CSL) =96 see www.csl.gov.uk =96 is an Execut=
ive
Agency of the UK Department for Environment, Food & Rural Affairs (Defra =96=
www.defra.gov.uk)). The Agency provides policy advice and technical support=
underpinned by high quality R&D to help Defra, and other customers,
safeguard food supplies, protect consumers and the environment. We have a
strong emphasis on statistics and modelling in our work. CSL is located
just outside the attractive university town of York (North Yorkshire, UK) in=
modern purpose-built accommodation on a pleasant landscaped site.=20
(Information on York is available from http://www.thisisyork.co.uk/ and many=
other web sites.)
The recently expanded Statistics and Informatics Team consists of eleven
staff providing statistical, Data Management, GIS and (bio)informatics
services to staff throughout CSL. Statistical support across the whole of
CSL is managed from within the Wildlife Ecology & Management Group. There
is a further statistician in the Wildlife Disease Ecology group based in
Gloucestershire. Statistical expertise is needed in all aspects of CSL's
scientific work, with areas such as vertebrate ecology, agricultural pests
and diseases, food science and microbiology making particularly heavy
demands. Statistics is a key skill and the post holder will have the
opportunity to play a crucial role in projects that often have significant
impact in public affairs. Most of the work relates to the design and
analysis of experiments and surveys. Some statistical research may be
needed to develop novel methods of analysis for particular areas of work.=20
There will be opportunities for further training and Continuing Professional=
Development (CSL is an =91Investor in People=92 =96 see
http://www.investorsinpeople.co.uk/IIP/Web/default.htm ).
The Job
Duties include reviewing and providing input to research proposals,
designing studies, advising scientists on statistical methods and analysing
and reporting data. Applications cover a wide range of science areas such
as ecology, applied biology and food science. The post holder will be also
required to provide general statistics and statistical computing support for=
the York site. The post holder will help manage the work of other
statisticians, help co-ordinate statistical services throughout the
organisation and assume some responsibilities for managing the statistical
elements of scientific projects. It is likely that the post holder will
become the primary consultant for the Environmental Biology Group at CSL
(see the CSL web site for more information on the science portfolio of this
group.)
Qualifications and Experience
A degree, or equivalent qualification, in statistics or mathematics or a
degree in a relevant science subject with a strong statistics/mathematics
component and a post-graduate degree (MSc, Diploma or PhD) in statistics or
its applications is required. Candidates without this level of
qualification will need at least six years relevant experience. You must
also be able to demonstrate experience of statistical consultancy,
preferably in agricultural, ecological or applied biological research and
the ability to communicate statistical ideas to non-statisticians. Good
computing skills and a high level of expertise in a statistics package -
e.g. GenStat, MINITAB, SPSS or R are also essential.
Highly self-motivated, you will have excellent interpersonal skills and be
able to manage statistical work and liase with customers.=20
To be eligible for employment with the UK Civil Service you need to be a UK
national, Commonwealth Citizen, a British Protected person, a national of
state in the European Economic Area and certain non EEA family members.
CSL is an Equal Opportunities Employer and we operate flexible working
practices.
Salary will depend on relevant experience you can bring to the job.
To Apply
For an application pack call 01904 462302, quoting reference CSP2933 or
email [log in to unmask] Further information and an application form are also
available on the CSL Internet site at
www.csl.gov.uk/aboutcsl/jobs/vacancies.cfm. Full details of the post are at=
http://www.csl.gov.uk/aboutcsl/jobs/pdf/2933.pdf .
Closing date for applications is 29 September 2005.
To discuss this opportunity informally please call the Team Leader, Alistair=
Murray, on +44 (0)1904 462092.
=========================================================================
Date: Mon, 19 Sep 2005 18:02:13 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Head of Biostatistics
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Head of Biostatistics
=20
Salary: Circa EURO 100k=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Permanent=20
Location: Europe=20
=20
Background:=20
=20
A major pharmaceutical client requires a Global Head Biostatistics to be
responsible for the strategic, operational and scientific and management
of the Biostatistics Department with a specific therapeutic area.
Heading a team split over various sites candidates require experience of
international management as well as significant knowledge in clinical
trial methodology. A PhD in a relevant field would be preferable with
extensive experience in the clinical arena. Please apply for full
details of client, location and job spec.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-3987'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 19 Sep 2005 18:04:02 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Biostatistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Biostatistician
=20
Salary: 80k euros=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: Germany=20
=20
Background:=20
=20
Prepares and performs statistical analysis on all relevant projects for
clients and staff. Designs, develops, modifies and evaluates the
technical data and infrastructure to expedite and evaluate analysis and
reporting of clinical and pre-clinical studies. Performs statistical
analysis and interprets results. Builds and maintains strategic
relations with customer groups.=20
=20
Qualifications:=20
=20
MS degree in Statistics or Biostatistics required. PhD in Statistics or
Biostatistics preferred. Substantial pharmaceutical industry related
environment is required.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply quoting the reference grv-2297
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 19 Sep 2005 22:01:02 +0100
Reply-To: Sandra Eldridge <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sandra Eldridge <[log in to unmask]>
Subject: training
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Two non-statisticians with some statistics training have been asking me =
about further training courses on cluster analysis.=20
1. Does anyone know about such a course coming up in the near future?
2. Does anyone know anything about the online courses at statistics.com?
Thanks
sandra=20
Sandra Eldridge
Centre for Health Sciences
Queen Mary, University of London
2 Newark Street
Whitechapel
E1 2AT
telephone: 020 7882 2519
fax: 020 7882 2552
=========================================================================
Date: Tue, 20 Sep 2005 10:45:38 +0400
Reply-To: Rajesh Gunesh <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rajesh Gunesh <[log in to unmask]>
Organization: DCDM Business School
Subject: Evaluation of lecturers/faciltators
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear All,
I was just wondering if you could help me on this one...I =
work as a lecturer in a (private-sector) business school. We've been =
trying to design a lecturer evaluation questionnaire (by students). Do =
you happen to know, by any chance, where I could retrieve/download an =
example of such a questionnaire? Thanks a lot for your help.
Best regards,
Raj.
-------------------------------------------------------------------------=
-------------------------------------
The depth of our friendship lies in our differences.
-------------------------------------------------------------------------=
-------------------------------------
Author: Raj
=========================================================================
Date: Tue, 20 Sep 2005 10:28:51 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Deborah Kester <[log in to unmask]>
Subject: JOB: Post Doctoral Level Research Position at Leading London
Hedge Fund
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Man Investments, the world's largest hedge fund manager and part of Man
Group plc, a leading FTSE100 company, invites applications from
post-doctoral level candidates in quantitative finance or the
statistical, mathematical or applied sciences for a permanent position
in its London based AHL Research group.=20
=20
Man Investments provides a dynamic working environment in the fast-paced
world of alternative investment management with ample opportunities for
personal development. Intelligence and creativity are highly valued as
the individual motivation and professionalism of our people plays a
critical role in our success.
=20
AHL has a long history of profitably trading the global financial and
commodity markets using a model-based purely systematic approach and
currently manages investments of over US$11B. The role will involve the
development and management of our in-house systematic trading system,
the design of quantitative models for examining and optimising our
investment portfolio, the day-to-day monitoring of risk and the analysis
of financial market data.
=20
This opportunity is ideal for a self-motivated dynamic individual who is
able to think past efficient market theories, has interests in
quantitative modelling and trading, and seeks a challenging responsible
position with opportunities to contribute to the expansion, development
and practice of the business.=20
=20
=20
Requirements
* Degree and doctorate in quantitative finance or a
statistical/mathematical/scientific discipline
=20
* Proven independent research ability together with considerable
scientific computing experience
=20
* Excellent verbal and written communication skills
=20
* Experience of statistical or mathematical modelling and data analysis
=20
* Basic knowledge/understanding of financial derivative markets
=20
* Familiarity with Unix and one or more of Matlab, Splus, R and C/C++
would be advantageous
=20
=20
Applications
Closing date for applications is 30th September 2005. =20
=20
Please refer to vacancy reference 698 in the Man Investments careers
section of the Man Group website (http://www.mangroupplc.com
<http://www.mangroupplc.com/> ) for further details.
=20
Please email your application letter, CV and completed skills sheet
(available from the website) to [log in to unmask]
=20
Applications which do not include a completed skills sheet will not be
considered.
=20
=20
=20
------------------------------------------------------------------------
-------------------------
Deborah Kester
HR Business Partner
=20
Man Investments Ltd
Sugar Quay
Lower Thames Street
London EC3R 6DU
Direct Tel +44 20 7144 3134
Direct Fax +44 20 7144 2313
=20
[log in to unmask]
www.maninvestments.com <http://www.maninvestments.com> =20
=20
A member of the Man Group
Man Investments Ltd is authorised and regulated by the Financial
Services Authority
Registered in England No. 2093429
=20
**********************************************************************
Any information in this communication which is confidential must not
be disclosed to others without our consent. Such consent is not required
where the information is publicly available and intended for onward
distribution. If the information is confidential and if you are not the
intended recipient, you are not authorised to and must not disclose,
copy, distribute, or retain this message or any part of it. You are
requested to return this message to the sender immediately.
Due to the electronic nature of e-mail, there is a risk that the
information contained in this message has been modified.=20
Consequently Man Investments can accept no responsibility or
liability as to the completeness or accuracy of the information.
Visit us at: www.maninvestments.com
**********************************************************************
=========================================================================
Date: Tue, 20 Sep 2005 10:39:53 +0100
Reply-To: "Eames Margaret (5GK) PHI-BedsHerts"
<[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Eames Margaret (5GK) PHI-BedsHerts"
<[log in to unmask]>
Subject: Local RSS Herts & Beds October Meeting
MIME-Version: 1.0
Content-Type: text/plain
Date: Wednesday 12 October 2005
Time: 6.30 pm
Place: Room G05, Bedfordshire & Hertfordshire SHA, Tonman
House, 63-77 Victoria Street, St Albans, Herts AL1 3ER
Tea: 6.00 pm
Title: "Child Health: Are children really fat in
Bedfordshire & Hertfordshire?"
MARGARET EAMES, Head of Beds & Herts Public Health Intelligence for the NHS
"The Public Health White Paper "Choosing Health" in Nov 2004 highlighted
childhood obesity as a priority issue, following results from the Health
Survey for England. This study utilised routine local school nurse height
and weight measurements of children aged five in 1998 and 2002 from all
state primary schools in Beds and Herts. The analysis of this data (32,265
children) has enabled the identification of "hotspots obesity" and those
with recent significant increases in body mass index, to facilitate local
intervention projects targeted at places of most need."
Meeting contact: Margaret Eames Email:
<mailto:[log in to unmask]>
[log in to unmask] or
Pat Williams (PA) Email: <mailto:[log in to unmask]>
[log in to unmask]
Margaret Eames
Head of Public Health Intelligence
Bedfordshire and Hertfordshire Health Authority
Charter House,
Parkway, Welwyn Garden City,
Herts AL8 6JL
tel: 01707- 361282
fax: 01707- 361293 Secretary 01707-390855 x2451
This is an official email from an NHS organisation for the intended
recipient only and should be treated as strictly private and confidential
for NHS business ONLY, unless otherwise stated. If you are not the intended
recipient, please inform me of the address error, but delete the message and
any attachments.
Thank you kindly.
=========================================================================
Date: Tue, 20 Sep 2005 11:18:21 +0100
Reply-To: leah li <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: leah li <[log in to unmask]>
Subject: JOB: Institute of Child Health, University College London
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
UCL INSTITUTE OF CHILD HEALTH
In partnership with Great Ormond Street Hospital for Children NHS Trust
Centre for Paediatric Epidemiology and Biostatistics
Statistician / Research Fellow
Applicants are invited to join a multidisciplinary team to work on a=20
project investigating influences on obesity and associated disease=20
outcomes. The work is based on the rich longitudinal data available in the=
=20
1958 cohort, which has multiple ages of follow-up in childhood (birth and=20
ages 7, 11, 16 yr) and in adulthood (23, 33, 42, 44 yr). New data are=20
available from a 44yr biomedical survey. Information was also collected on=
=20
children of the cohort.
The post offers an excellent opportunity to explore and apply statistical=20
methods for longitudinal and family data, in relation to an important=20
public health issue. Analyses will focus on how influences on obesity have=
=20
changed across generations, and on whether the impact on cardiovascular=20
disease risk of weight gain and obesity has also changed.
The successful applicant will have a postgraduate qualification (or=20
equivalent) in one of the following: statistics, epidemiology, nutrition,=20
public health, or another subject relevant to this research. It is expected=
=20
that applicants will have good working knowledge of statistical methods and=
=20
packages (e.g. SAS, STATA). Experience of analysis of large datasets and of=
=20
working within biostatistics or epidemiology is desirable.
This full-time position is for three years starting as soon as possible.=20
Starting salary will be on the Research Fellow salary scale (=A324,689 per=
=20
annum inclusive of London Weighting).
Informal enquiries may be made to Prof Chris Power on 020 7905 2106=20
(<mailto:[log in to unmask]>[log in to unmask]) or Dr Leah Li on 020=
=20
7813 8393 (<mailto:[log in to unmask]>[log in to unmask]).
A job description and application details can be obtained by referring to=20
our web site=20
<http://www.ich.ucl.ac.uk/ich/html/humanresources/jobs.html>http://www.ich.u=
cl.ac.uk/ich/html/humanresources/jobs.html.=20
Alternatively, you may wish to email=20
<mailto:[log in to unmask]>[log in to unmask] or send a=20
stamped, self-addressed A4 envelope to Human Resources Department,=20
Institute of Child Health, 30 Guilford Street, London WC1N 1EH. Please=20
quote job reference CFL/05/47.
Closing date for applications is Monday 10th October 2005 by 5pm.
Interview dates are likely to be held on 19th or 21st October 2005.
Any offer of employment will be subject to a satisfactory criminal records=
=20
check.
UCL Taking Action for Equality
=========================================================================
Date: Tue, 20 Sep 2005 14:53:23 +0100
Reply-To: Marian Scott <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Marian Scott <[log in to unmask]>
Organization: Dept of Statistics
Subject: jobs in Glasgow Statistics
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
Dear Colleagues,
Statistical Vacancies at Glasgow University
--------------------------------
Applications are invited for two positions at the Department of Statistics,
University of Glasgow:
Lecturership in Statistics:
Applicants for this post may have research interests in any area of
Statistics and should have, or expect to obtain shortly, a PhD or
equivalent qualification. A commitment to enhancing the strong research
profile of the Department is essential. Applicants will also be required to
contribute to the teaching programme of the Department.
For further details go to :
http://www.gla.ac.uk/services/humanresources/recruit/14oct_11633.htm
RCUK Research Fellowship (five year post) in Statistical Methodology
Applicants for this post should have a commitment to enhancing the
strong research profile of the Department and are expected to pursue a
research programme in statistical methodology (with biostatistical
applications).
For further details, go to
http://www.gla.ac.uk/services/humanresources/recruit/14oct_11634.htm
The closing date for applications for both positions is 28th October 2005.
Informal enquires can be addressed to Professor Marian Scott
([log in to unmask]).
See also http://www.stats.gla.ac.uk/ for information on the Statistics
Department.
======================================================
Professor Marian Scott [log in to unmask]
Department of Statistics www.stats.gla.ac.uk/~marian
University of Glasgow Phone: +44(0) 141 330 5125
Glasgow G12 8QW Fax: +44(0) 141 330 4814
======================================================
=========================================================================
Date: Tue, 20 Sep 2005 16:40:03 +0100
Reply-To: Lawrence Hay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lawrence Hay <[log in to unmask]>
Subject: New Job role:Job Title: Contract Programmer with
SAS=?ISO-8859-1?Q?=AE?= Web Report Studio - Berkshire (Ref.
FW-10487)
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Job Title: Contract Programmer with SAS=AE Web Report Studio - Berkshire =20
(Ref. FW-10487)
Location / Area: UK South / UK South-East / Basingstoke / near Reading /=20
Berkshire
Summary of Role: This is a contract role for a SAS=AE Base 9 Programmer=20
with SAS=AE ETL, SAS=AE Information Map and Web Report Studio experience, to=
=20
be based near Reading / Berkshire for three months in the first instance,=20
with potential to extend. =20
Company Info: Respected and recognised as a household name, our Client is=20
highly regarded as a British institution. Established in 1905, they are=20
the most trusted and largest motoring organisation in the UK, with some=20
3,300 highly trained road patrols and 15 million customers nationwide. =20
They have more than 100 motoring products and services, from helping you=20
to get from A to B, to organising your motoring finances to buying a new=20
or second-hand car. Career opportunities are normally available only=20
internally. =20
Benefits: As an 'Investors in People' Award-winner, our Client takes its=20
career development programme very seriously. Induction programme on=20
joining covering customer service skills plus product and systems=20
knowledge. Regular on-the-job coaching and training. Wide range of=20
learning resources provided. Sponsorship for higher qualifications=20
possible, either academic or vocational. =20
Job Role: Reporting to the Senior Insight Analyst, you will be primarily=20
responsible for:
=95 Customer analysis supporting business decision-making and tactical=20
delivery
=95 Analytical input supporting the development of customer and=20
marketing strategies and product development
=95 Supporting ad hoc analyses to meet specific business needs
=95 Data analysis to deliver actionable customer intelligence=20
efficiently
=95 Working with business units to provide detailed understanding of=20
customer base
=95 Quantifying market research analysis
=95 Utilising statistical models to aid understanding of customer=20
risk, value and behaviour
=95 Ensuring effective use of model scores and flags in marketing=20
campaigns
=95 Identifying data quality issues and data structure improvements
=95 Project management of detailed analysis programmes
=95 Working with key agencies, affinity partners and other parties to=20
support customer analysis programmes
Essential Requirements: =20
SAS=AE programming experience including all of the following:
Base SAS=AE 9
SAS=AE ETL
SAS=AE Information Map
SAS=AE Web Report Studio=20
Unique Benefits: This is a prime opportunity for a numerate Analyst /=20
Programmer to join one of the UK's most respected national organisations=20
in a rarely publicised vacancy, with attractive prospects for continuing=20
professional development in Programming skills. =20
Lawrence Hay=20
Fforde
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
=20
www.fforde-management.com
=========================================================================
Date: Tue, 20 Sep 2005 16:46:52 +0100
Reply-To: Lawrence Hay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lawrence Hay <[log in to unmask]>
Subject: Job Title: Insight Analyst / SAS=?ISO-8859-1?Q?=AE?= PROGRAMMER
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Job Title: Insight Analyst / SAS=AE PROGRAMMER (Ref.10446)
Location / Area: UK South-East - Farnborough, Hampshire
Summary of Role: This is a rare and valuable opportunity for a SAS=AE=20
Programmer / Analyst to join a well-established, large scale British=20
organisation with excellent career development opportunites. To be based=20
in Farnborough, Hampshire in the first instance, starting as soon as=20
possible.
Information on Client: Respected and recognised as a household name, our=20
Client is highly regarded as a British institution. Established in 1905,=20
they are the largest and most trusted motoring organisation in the UK,=20
with some 3,300 highly trained road patrols and 15 million customers=20
nationwide. They have more than 100 motoring products and services, from=20
helping you to get from A to B, to organising your motoring finances to=20
buying a new or second-hand car. Career opportunities are normally=20
available only internally. =20
Benefits: As an 'Investors in People' Award-winner, our Client takes its=20
career development programme very seriously. Induction programme on=20
joining covering customer service skills plus product and systems=20
knowledge. Regular on-the-job coaching and training. Wide range of=20
learning resources provided. Sponsorship for higher qualifications=20
possible, either academic or vocational. =20
Job Role: Reporting to the Senior Insight Analyst, you will be primarily=20
responsible for:
=B7 Customer analysis supporting business decision-making and tactical=20
delivery
=B7 Analytical input supporting the development of customer and=20
marketing strategies and product development
=B7 Supporting ad hoc analyses to meet specific business needs
=B7 Data analysis to deliver actionable customer intelligence=20
efficiently
=B7 Working with business units to provide detailed understanding of=20
customer base
=B7 Quantifying market research analysis
=B7 Utilising statistical models to aid understanding of customer=20
risk, value and behaviour
=B7 Ensuring effective use of model scores and flags in marketing=20
campaigns
=B7 Identifying data quality issues and data structure improvements
=B7 Project management of detailed analysis programmes
=B7 Working with key agencies, affinity partners and other parties to=20
support customer analysis programmes
Minimum Requirements:=20
=B7 +1-2 years' SAS programming experience with a relevant=20
undergraduate degree
=B7 Proven utilisation of data mining and statistical techniques=20
including SAS/Base and SAS/Stats
=B7 Proven track record in delivery of actionable customer intelligence
=B7 Excellent numeracy skills
=B7 Highly literate in MS Office and data mining software
=B7 Good data interpretation skills
=B7 Good communication and influencing skills
=B7 Good planning skills
=B7 Ability to work under pressure to tight deadlines
Flexibility to relocate essential=20
Unique Benefits: This is a prime opportunity for a numerate Analyst /=20
Programmer to join a young, dynamic team at one of the UK's most respected=20
national organisations in a rarely publicised vacancy, with attractive=20
prospects for continuing professional development in IT. =20
Keywords: SAS Programmer / SAS / Statistical Analyst Programmer /=20
Statistical Analyst / Statistical Programmer / Statistics / Mathematics /=20
Statistical Software / Data Mining / Data Interpretation / Data analysis /=20
Data Quality / Data Structure
If you think you fit the bill, email your CV to: Lawrence@fforde-
management.com, speak to: Lawrence on (0044) (0)1273 722366 or write to us=20
at Curtis House, 34 Third Avenue, Hove BN3 2PD Fax: (0)44 (0)1273 325350. =20
If you prefer a different kind of role, call for a confidential chat about=20
your personal career needs. =20
Fforde prides itself on a glowing reputation within the recruitment=20
industry, a close-knit team and a high quality personalised service=20
dedicated to intelligent delivery. Explore this website for a peek at all=20
our enticing job opportunities. =20
www.fforde-management.com
=========================================================================
Date: Tue, 20 Sep 2005 16:55:23 +0100
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Senior Business Analyst
Dear All,
Datatech has the following requirement,
Senior Business Analyst London to 35K plus benefits
You will play a key business-planning role for a well-known transportation
company.
Being a dynamic and enthusiastic individual, you will have a major impact
on business strategy.
Whilst managing a small team of analysts you will also have a high degree
of interaction with other divisions.
Ideally you are educated to degree level in a numerate or business subject
and have a proven background in OR techniques and demand forecasting. A
background in the transportation industry would be a clear advantage.
This would suit someone who has an entrepreneurial nature and the desire to
succeed in this constantly evolving organisation.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
Tel: 01256 314 660
Fax: 01256 314 669
Email: [log in to unmask]
=========================================================================
Date: Tue, 20 Sep 2005 17:28:42 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS Programmer
Comments: To: "[log in to unmask]" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
CONTRACT - SAS Programmer
=20
Salary: circa EURO 65ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
Your responsibility is to run programs and output for data management
and biostatistics for validation of data, for statistical contributions
of integrated study reports and for other programming requests. The
contract will start ASAP for an initial period of 6 months, based within
an easy commute from Amsterdam and requires a candidate with 18 months+
experience of Programming in SAS within the clinical arena. There is a
strong possibility of contract renewal with this organisation.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to copy of your CV quoting the
reference 'grv-3523'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Tue, 20 Sep 2005 17:45:43 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Statisticians use your skills for Customer Intelligence
Analysis
Hello all,
Working for a reputable name in the finance industry you will play an
important function in analysing customer information to produce
intelligence reports. Your role will become vital to the Customer and
Profiling team whose function is to develop and communicate a
comprehensive understanding of consumer behaviour and their financial
services needs.
Your excellent communication skills will be invaluable as the ability to
communicate complex analysis in a non-technical way will form part of your
everyday role. You will use your numerate degree and upwards of 2 years
commercial experience to analyse large datasets on a regular basis.
You should have experience of data mining, customer segmentation and
predictive modelling. Therefore knowledge of SAS or SQL are necessary
requirements and experience of using GIS tools such Mapinfo would be a
valuable asset. Call today to arrange an interview!
Location: North West. This role is commutable from Manchester, Chester,
Macclesfield, Stockport & Staffordshire.
Salary: Up to 30k depending on experience
To apply or for more information:
Call and / or send your C.V to: [log in to unmask]
Please quote ref: AS/8989/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/Jobsearch.aspx
Kind Regards
Alison Stacey
Corporate Recruiter
=========================================================================
Date: Wed, 21 Sep 2005 09:12:34 +0100
Reply-To: "Bland, M." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Bland, M." <[log in to unmask]>
Organization: University of York
Subject: QUERY: Centre effects in multi-centre clinical trials
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
I have been asked whether I know of a reference giving the views of
medical statisticians looking at centre effects in multi-centred
clinical trials. Does anybody have any suggestions?
Many thanks.
Martin
--
***************************************************
J. Martin Bland
Prof. of Health Statistics
Dept. of Health Sciences
Seebohm Rowntree Building Area 2
University of York
Heslington
York YO10 5DD
Email: [log in to unmask]
Phone: 01904 321334
Fax: 01904 321382
Web site: http://www-users.york.ac.uk/~mb55/
***************************************************
=========================================================================
Date: Wed, 21 Sep 2005 10:32:38 +0100
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: SPSS USERS MEETING 2005 reminder
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
(apologies for any cross postings)
ASSESS: SPSS USERS" GROUP, THE 19th ANNUAL USERS' MEETING
FRIDAY 11TH NOVEMBER 2005
DEPARTMENT OF HEALTH SCIENCES
UNIVERSITY OF YORK, YORK
ASSESS is an independent user group for SPSS, a computer package for analysing
and presenting data. It is run by users, for users and is completely independent
of manufacturers of the software. The meeting is open to all users of SPSS and
to anyone interested in SPSS.
Come along to:
* hear SPSS users talk about applications,the problems and solutions
* hear the latest news from SPSS UK staff about product developments,
and put your questions to them
* question a panel of experts about particular problems
* exchange ideas with other SPSS users
* plan for an even better user group.
The Department of Health Sciences is in the Seebohm Rowntree Building on York
University campus located in Heslington, 2 miles to the south-east of the city
centre. It takes 10-15 minutes in a taxi from the railway station. Buses also
go to the University (See http://www.york.gov.uk/roads/bus/). University Parking
and location details are at http://www.york.ac.uk/np/maps/. Accommodation
is bookable via tourist information on (01904) 621756 or (01904) 554455.
THE PROVISIONAL PROGRAMME**
* Welcome and introduction to meeting
* SPSS company and product news; SPSS software demonstrations
* Ordered logistic regression Using PLUM
by Venkata Putcha, Thames Cancer Registry
* Issues in using SPSS in an educational research environment
by Ian Schagen, National Foundation for Education Research
* The use of SPSS in Market Research: segmentation and profiling of customers
by Kate Grayson, Statistics by Design
* Common SPSS procedures on health and medical data
by Elizabeth Wiredu, Edgehill College
* Lovely lucid logistics: the analysis and graphic presentation of
effects of nominal and metric variables on binary outcomes
by Diana Kornbrot, University of Hertfordshire
* Users" Question Time and Clinic
* Annual General Meeting of ASSESS.
Registration and coffee will start at 10am. Papers and other events will run
from 10.30am to about 5.10pm. Coffee, lunch and afternoon tea are included
in the registration fee. A timetable will be e-mailed to delegates in advance
of the meeting.
______________________
** The titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
ASSESS : SPSS USERS' GROUP
Friday 11th November 2005, Dept. Health Sciences, University of York
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received. Payment possible by BACS. Details on request.
Name: ______________________________ Tel: ____________________
Email: ______________________________ Fax: ____________________
Job Title: ___________________________________
Organization: ___________________________________
Address: ___________________________________________________
___________________________________________________
_______________________ Postcode _______________
Strike out the sections which do not apply to you, or otherwise amend as
appropriate:
INDIVIDUAL BOOKING. Please reserve a place for me, at a cost of 45 GBP.
CORPORATE BOOKING. (Enter the appropriate amounts)
Please reserve ______ places, at a cost of _____GBP (45 GBP for the first
person and 40 GBP for each subsequent person).
Names of attendees : 1. _______________________________________
(for badges) 2. _______________________________________
3. _______________________________________
4. _______________________________________
5. _______________________________________
STUDENT (POST-GRADUATE) BOOKING. (Enclose photocopied evidence of status
for 2005-2006 academic year). Please reserve for me one of the student
places, at a cost of 25 GBP.
Specify vegetarian or other dietary requirements, if any:
________________________________________________________________
Cheque or official order enclosed for _______GBP
For official orders please also give here the number and address for invoicing:
________________________________________________________________
________________________________________________________________
________________________________________________________________
Return completed forms to: Peter Watson, MRC Cognition and Brain
Sciences Unit, 15 Chaucer Road, Cambridge, CB2 2EF.
Telephone enquiries about bookings: 01223 355294 x801 (has an answerphone)
E-mail enquiries about bookings: [log in to unmask]
(important: put "ASSESS" in the Subject field)
=========================================================================
Date: Wed, 21 Sep 2005 10:45:15 +0100
Reply-To: "CfI - Charlett, Andre" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "CfI - Charlett, Andre" <[log in to unmask]>
Subject: JOB: Health Protection Agency, London
Comments: cc: "CfI - Kephalas, Maria" <[log in to unmask]>
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset="iso-8859-1"
Health Protection Agency Colindale, NW London=0D=0A=0D=0AJob title: Senior=
Statistician=0D=0A=0D=0ADivision: Centre for Infections=0D=0A=0D=0AUnit:=
Statistics, Modelling and Bioinformatics=0D=0A=0D=0ASalary: =A33=
4,291-=A336,951 (inclusive of London weighting) =0D=0A=0D=0AHours: 37=
=2E5=0D=0A=0D=0ARef: 649S018=0D=0A=0D=0AThe Health Protection Agency=
(HPA) is an independent body that protects the=0D=0Ahealth and well-being =
of everyone in England and Wales=2E The Agency plays a=0D=0Acritical role i=
n protecting people from infectious diseases and in=0D=0Apreventing harm wh=
en hazards involving chemicals, poisons or radiation=0D=0Aoccur=2E We also =
prepare for new and emerging threats, such as a bio-terrorist=0D=0Aattack o=
r virulent new strains of pathogen=2E=0D=0A=0D=0AThe Statistics Unit is see=
king to recruit a Senior Statistician, to be based=0D=0Aat the Centre for I=
nfections, Colindale=2E The post will have particular=0D=0Aresponsibility f=
or statistical input to the healthcare associated infections=0D=0Aand antim=
icrobial resistance surveillance and R&D activities=2E It is=0D=0Aestimated=
that at any one time 9% of all inpatients have an infection=0D=0Aacquired =
whilst in hospital=2E The considerable impact on the patient of these=0D=0A=
infections and the financial and operational impact on the health service=
=0D=0Ahave resulted in the very high profile of this area of work and the h=
igh=0D=0Alevel demand for quality and timely information=2E =0D=0A=0D=0ATh=
is post will provide high quality statistical expertise and leadership=0D=
=0Ainto the Healthcare-Associated Infection & Antimicrobial Resistance=0D=
=0ADepartment's varied surveillance and research activities that are ultima=
tely=0D=0Aaimed at preventing these infections=2E This includes the nationa=
l MRSA,=0D=0AClostridium difficile, and surgical site infection surveillanc=
e schemes=2E=0D=0AHe/she will also be expected to contribute to the general=
work of the=0D=0AStatistics Unit and to collaborate with the mathematical =
modellers working=0D=0Aon healthcare-associated infection and antimicrobial=
resistance projects=2E=0D=0A=0D=0AThe ideal candidate will have a good Mat=
hematics or Statistics first degree=0D=0Aand an appropriate postgraduate qu=
alification=2E He/she will have a=0D=0Apublication record and at least five=
years relevant experience as a=0D=0Astatistician in a medical field=2E=0D=
=0A=0D=0AThere are over 30 statisticians, mathematical modellers and=0D=0Ab=
ioinformaticians working in the department where this post will be based,=
=0D=0Awho are working on a wide range of infectious disease problems=2E The=
=0D=0Apost-holder will be working in collaboration with national and intern=
ational=0D=0Aepidemiological and microbiological experts=2E =0D=0AThe Cent=
re for Infections at Colindale, NW London is an internationally=0D=0Arenown=
ed centre of excellence for expertise, reference and research,=0D=0Asurveil=
lance and epidemiology in relation to micro-organisms that affect=0D=0Ahuma=
n health=2E The modern purpose built centre is well equipped and staffed=
=0D=0Aand provides excellent Library, Occupational Health and Refectory=0D=
=0Afacilities=2E There is also a Nursery on Site=2E=0D=0A=0D=0AFor an appl=
ication form and job description please apply by email to=0D=0Acfi=2Evacanc=
ies@hpa=2Eorg=2Euk <mailto:cfipersonnel@hpa=2Eorg=2Euk> or by enclosing a=
=0D=0Alarge s=2Ea=2Ee=2E to Human Resources, Centre for Infections, 61 Coli=
ndale Avenue,=0D=0ALondon NW9 5EQ=2E=0D=0A=0D=0AClosing date: 7th October=
2005=0D=0AIn line with other NHS employers, this post is subject to a term=
s and=0D=0Aconditions review (Agenda for Change) =0D=0AThe Health Protectio=
n Agency is an equal opportunities employer=2E=0D=0AFor other employment op=
portunities, visit our website www=2Ehpa=2Eorg=2Euk=0D=0A<http://www=2Ehpa=
=2Eorg=2Euk>=0D=0A=0D=0A-----------------------------------------=0D=0A****=
*******************************************************************=0D=0A**=
*=0D=0AThe information contained in the EMail and any attachments is=0D=0Ac=
onfidential and intended solely and for the attention and use of the=0D=0An=
amed addressee(s)=2E It may not be disclosed to any other person without=0D=
=0Athe express authority of the HPA, or the intended recipient, or both=2E=
=0D=0AIf you are not the intended recipient, you must not disclose, copy,=
=0D=0Adistribute or retain this message or any part of it=2E This footnote =
also=0D=0Aconfirms that this EMail has been swept for computer viruses, but=
=0D=0Aplease re-sweep any attachments before opening or saving=2E=0D=0AHTTP=
://www=2EHPA=2Eorg=2Euk *************************************************=
=0D=0A*************************=0D=0A
=========================================================================
Date: Wed, 21 Sep 2005 10:45:24 +0100
Reply-To: "CfI - Charlett, Andre" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "CfI - Charlett, Andre" <[log in to unmask]>
Subject: JOB: Health Protection Agency, London
Comments: cc: "CfI - Kephalas, Maria" <[log in to unmask]>
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset="iso-8859-1"
Health Protection Agency Colindale, NW London=0D=0A=0D=0AJob title: Statist=
ician / Mathematical Modeller=0D=0A=0D=0ADivision: Centre for Infections=
=0D=0A=0D=0AUnit: Statistics, Modelling and Bioinformatics=0D=0A =0D=
=0ASalary: =A330,673-33,038 (inclusive of London weighting)=0D=0A=0D=0AD=
uration: 3 years' fixed term=0D=0A=0D=0AHours: 37=2E5 hours per week =
=0D=0A=0D=0AReference No: 648S027=0D=0A=0D=0AThe Health Protection Ag=
ency (HPA) is an independent body that protects the=0D=0Ahealth and well-be=
ing of everyone in England and Wales=2E The Agency plays a=0D=0Acritical r=
ole in protecting people from infectious diseases and in=0D=0Apreventing ha=
rm when hazards involving chemicals, poisons or radiation=0D=0Aoccur=2E We =
also prepare for new and emerging threats, such as a bio-terrorist=0D=0Aatt=
ack or virulent new strains of pathogen=2E=0D=0A=0D=0AWe are seeking to app=
oint an experienced statistician/mathematical modeller=0D=0Ato develop and =
apply statistical and mathematical tools for real-time=0D=0Aforecasting of =
pandemic influenza and epidemics of other respiratory=0D=0Ainfections, such=
as SARS=2E This high-profile project will contribute to=0D=0Anational and =
international decision-making in the event of a pandemic=2E The=0D=0Apost w=
ill involve integrating national surveillance data from a range of=0D=0Asou=
rces, including hospitalisations, deaths, GP consultations and laboratory=
=0D=0Areports, to provide an overall view of the course of the epidemic=2E =
The post=0D=0Ainvolves a range of complex and original scientific work and =
requires a high=0D=0Adegree of personal motivation=2E The ideal candidate w=
ill have a good=0D=0AMathematics or Statistics first degree and an appropri=
ate postgraduate=0D=0Aqualification=2E He/she will have a publication recor=
d and at least three=0D=0Ayears relevant experience=2E Knowledge of stochas=
tic processes and Bayesian=0D=0Amethods would be a distinct advantage=2E Ex=
perience of programming is=0D=0Aessential=2E =0D=0A=0D=0AThere are over 30 =
statisticians, mathematical modellers and bioinformatics=0D=0Ascientists wo=
rking in the department where this post will be based, who are=0D=0Aworking=
on a wide range of infectious disease problems=2E The post-holder will=0D=
=0Aalso be working in collaboration with national and international=0D=0Aep=
idemiological and microbiological experts=2E =0D=0AThe Centre for Infectio=
ns at Colindale, NW London is an internationally=0D=0Arenowned centre of ex=
cellence for expertise, reference and research,=0D=0Asurveillance and epide=
miology in relation to micro-organisms that affect=0D=0Ahuman health=2E Th=
e modern purpose built centre is well equipped and staffed=0D=0Aand provide=
s excellent Library, Occupational Health and Refectory=0D=0Afacilities=2E =
There is also a Nursery on Site=2E=0D=0A=0D=0ATo apply please email cfi=2Ev=
acancies@hpa=2Eorg=2Euk=0D=0A<mailto:cfipersonnel@hpa=2Eorg=2Euk> or by enc=
losing a large s=2Ea=2Ee=2E to Human=0D=0AResources, Centre for Infections,=
61 Colindale Avenue, London NW9 5EQ=2E=0D=0A=0D=0A=0D=0AClosing date: 7t=
h October 2005=0D=0A=0D=0AIn line with other NHS employers, this post is su=
bject to a terms and=0D=0Aconditions review (Agenda for Change) =0D=0AThe H=
ealth Protection Agency is an equal opportunities employer=2E=0D=0AFor othe=
r employment opportunities, visit our website www=2Ehpa=2Eorg=2Euk=0D=0A<ht=
tp://www=2Ehpa=2Eorg=2Euk> =0D=0A=0D=0A------------------------------------=
-----=0D=0A****************************************************************=
*******=0D=0A***=0D=0AThe information contained in the EMail and any attach=
ments is=0D=0Aconfidential and intended solely and for the attention and us=
e of the=0D=0Anamed addressee(s)=2E It may not be disclosed to any other pe=
rson without=0D=0Athe express authority of the HPA, or the intended recipie=
nt, or both=2E=0D=0AIf you are not the intended recipient, you must not dis=
close, copy,=0D=0Adistribute or retain this message or any part of it=2E Th=
is footnote also=0D=0Aconfirms that this EMail has been swept for computer =
viruses, but=0D=0Aplease re-sweep any attachments before opening or saving=
=2E=0D=0AHTTP://www=2EHPA=2Eorg=2Euk **************************************=
***********=0D=0A*************************=0D=0A
=========================================================================
Date: Wed, 21 Sep 2005 10:47:23 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Credit Risk Analysts develop your skills in the up and coming
area of Fraud Strategy
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello all,
A fantastic opportunity has arisen for someone with an analytical=20
background in credit. Your role will be building and testing of models,=20
including credit scorecards, refining where appropriate and validating=20
data to ensure best results. Therefore an understanding of modelling=20
techniques, including those used in scorecard development and evaluation=20
would greatly aid your application.=20
Your communication skills will become paramount as you will need to=20
communicate key issues within reports. Your ability to problem solve=20
coupled with your highly analytical nature will make you the ideal=20
candidate. Knowledge or experience of using Fraud systems such as Falcon=20
would be advantageous.=20
You should have upwards of 2 years commercial experience in an analytical=20
role ideally in a CRM environment. This client deals with millions of=20
customers so handling large datasets should not deter you. Use of=20
statistical software such as SAS, S-PLUS, S+, Statistica or SPSS would be=20
advantageous, and knowledge of SQL or Access will be of particular=20
interest to our client. =20
Location: North West - commutable from areas such as Stockport,=20
Macclesfield, Chester, Manchester, Derbyshire, Shropshire, Staffordshire.
Salary: to =A330k depending on experience
To apply or for more information:=20
Call and / or send CV to: [log in to unmask]
Please quote ref: AS/8988/SB in the subject line.
Visit us at http://www.corporate-recruiter.co.uk/Jobsearch.aspx
Kind Regards
Alison Stacey
Corporate Recruiter
0207 861 9987
=========================================================================
Date: Wed, 21 Sep 2005 15:19:43 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: e-Recruit at Glaxo Smith Kline <[log in to unmask]>
Subject: JOB: Project (Principle) Statistician GlaxoSmithKline Weybridge,
Southeast England
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
Project (Principle) Statistician GlaxoSmithKline
Weybridge, Southeast England
At GlaxoSmithKline we are currently offering an exciting opportunity for=20
an experienced Clinical Trials Statistician to take on a permanent,=20
project based role within our Futures Group of our Consumer Healthcare R&D =
facility in Weybridge, Surrey.
The Candidate:=20
BSc/MSc in Biostats, Statistics or related discipline.=20
7-10 Yrs experience as a statistician supporting clinical trials in Pharma =
or Consumer Healthcare or related Industry.=20
Ability to work effectively in a team; strong written and oral=20
communication skills.=20
Proficiency in SAS would be advantageous.
Details:
Account management responsibility for allocated Future Group.=20
Participate in project teams to provide statistical input to project=20
development plans and interaction with respect to project planning.=20
Represent BDM on project teams and coordinate BDM project related=20
activities=20
Make study design recommendations and prepare sample size calculations for =
outline protocols.=20
Prepare statistical section for clinical study protocols.=20
Generate the randomization schedules for clinical trials in accordance=20
with protocols.=20
Provide input to the design of case report forms and review edit check=20
specifications.=20
Preparation of statistical analysis plans.=20
Interact with statistical programmers regarding programming requirements.=20
Perform statistical analysis.=20
Validation/QC of other statisticians analysis.=20
Prepare the statistical section of topline and final study reports.=20
Present and discuss results with internal/external bodies as required.=20
Review clinical protocols and final study reports.
GSK Ref: 25879
To Apply:
At GlaxoSmithKline we provide a supportive working environment, and a=20
range of development challenges and opportunities. We also offer=20
competitive benefits and compensation packages designed to attract and to=20
retain the very best.
For confidential consideration and efficient processing, please apply=20
online ? providing an indication of basic salary requirements - at:=20
http://careers.peopleclick.com/client=5Fgsk/BU1/External=5FPages=5FUK/newca=
ndidate.asp?Source=3DALL&JobID=3D=20
77907
Please only apply by clicking on this link or by cutting and pasting it=20
into your web browser.
Thank you for taking the time and effort to apply for this role. Please=20
note that we will only contact you again if you are invited to interview.=20
All data processed in accordance with the provisions of the Data=20
Protection Act.=20
GSK is proud to promote an open culture, encouraging people to be=20
themselves and giving their ideas a chance to flourish. GSK is an equal=20
opportunity employer. To enable GSK to meet it's commitment as a two ticks =
employer please let us know if you have a disability.
=========================================================================
Date: Wed, 21 Sep 2005 15:24:25 +0100
Reply-To: Lee Moynes <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lee Moynes <[log in to unmask]>
Subject: JOB: Statistician - Permanent / part time - Berkshire
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
JOB: Statistician
=20
SALARY: Negotiable
=20
POSITION TYPE: Permanent (Part time, around 2 days per week)
=20
LOCATION: Berkshire=20
=20
JOB PROFILE:
=20
Responsibilities:
Produce Tables, Figures and Listings and reports for Clinical Studies
Produce ad-hoc programs throughout a study
Develop Statistical Analysis Plans
Ensure Study deadlines are met
Liaise with Clients on statistical issues
=20
Additional tasks:
Assist with Data management programming as necessary
Help develop Statistical and Data Management processing tools
=20
Requirements:
Experienced Statistician, capable of working under own initiative
Minimum of three years experience
=20
ABOUT KEY PEOPLE:=20
Key People is recognised by industry analysts as the leader in providing
customer value recruitment consulting. We bring together the three key
areas of sales, marketing and customer service, to provide
comprehensive, customer-driven solutions.=20
We integrate teams of qualified sales, management and Pharmaceutical /
Healthcare consultants, with extensive consulting and industry
experience, who can help you improve the effectiveness of your
recruitment issues.
=20
HOW TO APPLY:
=20
To apply for the above role or to find out more details on this role or
many other similar roles that Key People have available do feel free to
contact Lee Moynes by any of the following means.
=20
=20
Kind regards,
=20
=20
Lee Moynes
Business Manager - Biostatistics & SAS Programming
Key People Pharmaceutical Ltd | Adelaide House | Adelaide Street | St.
Albans | Hertfordshire | AL3 5BE
Tel: +44 (0)1727 817 628 (dir) | Tel: +44 (0)1727 811 634 (switchboard)
| Mobile: +44(0)7714 089 303 |Fax: +44 (0)1727 856 594
Website: www.keypeople.co.uk
<blocked::BLOCKED::http://www.keypeople.co.uk/>=20
Email: [log in to unmask] <mailto:[log in to unmask]> =20
The information in this e-mail is confidential and may be privileged. If
you are not the intended recipient of this e-mail and have received it
in error, please notify the sender by replying with 'received in error'
as the subject and then delete it from your mailbox. Key People shall
not be liable for any losses as a result of any harmful attachment or
content within the message. Whilst all reasonable care has been taken to
ensure that the information contained in this e-mail is correct, no
warranty is given and you should be aware it may be incomplete, out of
date or incorrect. It is therefore essential that you verify all such
information with us before taking any action in reliance upon it.
=20
=========================================================================
Date: Wed, 21 Sep 2005 11:39:36 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: Two online courses in data mining
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
Dr. Anthony Babinec, President of AB Analytics and previously Director of=20
Advanced Products Marketing at SPSS, will present two online courses in=20
data mining at statistics.com, each running from October 7 =96 November=20
4. Participants can ask questions and exchange comments with Dr. Babinec=20
via a private discussion board throughout the period.
1. =93Data Mining =96 Unsupervised Techniques=94 covers key unsupervised=20
learning techniques used in data mining =96 association rules, principal=20
components analysis, and clustering. This is a hands-on course that=20
includes an integration of supervised and unsupervised learning techniques.
2. =93Rule Induction=94 course covers two main machine-learning approaches=
to=20
generating, or =93discovering,=94 useful rules that describe the data in=
large=20
databases. Association learning (producing =93association rules=94 =96 if=
you=20
bought =93x=94, you may also like =93y=94) will be considered, looking at=
the=20
industry standard method: APRIORI. As noted above, this is an=20
unsupervised technique. The course also covers two decision tree methods =
=96=20
C4.5 and CHAID. Both are supervised machine learning processes in which=20
classification rules are generated from data in which the class of each=20
record is known (fraud/not-fraud; purchaser/not-purchaser, etc.). The=20
rules can then be applied to similar data in which the class is not known.
There is some overlap in coverage between the two courses; #1 is broader=20
and more attentive to the larger data mining context, #2 is deeper and pays=
=20
greater attention to the algorithms. A tuition discount of 50% is=20
available for =93Rule Induction=94 if you take both courses at the same=
time:=20
use the coupon code =93RULES=94 (or =93RULESA=94 for academic pricing) when=
signing=20
up online.
As with all online courses at statistics.com, there are no set hours when=20
you must be online, and you can interact with the instructor over a period=
=20
of 4 weeks via a private discussion board. We estimate you will need about=
=20
10 hours per week.
For details and=20
registration: http://www.statistics.com/content/courses/datamining.html
Peter Bruce
statistics.com
The leading provider of online professional development in statistics
[log in to unmask]
703-522-5410=20
=========================================================================
Date: Wed, 21 Sep 2005 18:27:39 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Principal Statistician-Permanent
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstaters,
=20
Here=20is=20our=20latest=20Stats=20role=20in=20the=20South=20East.=20Feel=20=
free=20to=20contact=20me=20to=20discuss=20the=20position=20further.
=20
Principal=20Statistician
=20
Salary:=20Excellent=20Salary=20Package=20and=20Benefits=20
=20
Business=20Type:=20Biopharmaceutical=20Company,=20Biotechnology=20Company,=
=20Contract=20Research=20Organisation,=20Pharmaceutical=20Company=20
Job=20Type:=20Data=20Management/Statistics=20
Position=20type:=20Permanent=20
Location:=20United=20Kingdom=20
=20=20
Background:=20
=20=20
My=20client=20is=20actively=20looking=20for=20a=20Principal=20Statistician=
=20with=20at=20least=205-7=20years=BF=20experience=20in=20the=20pharmaceut=
ical=20industry.=20You=20will=20be=20involved=20in=20close=20liaison=20wit=
h=20our=20customers=20and=20in-house=20team=20of=20Data=20Managers,=20Stat=
isticians=20and=20Medical=20Writers.=20You=20will=20be=20responsible=20for=
=20managing=20the=20production=20of=20analysis=20plans,=20analysis=20of=20=
clinical=20trial=20data=20and=20the=20production=20of=20statistical=20tabl=
es,=20figures=20and=20reports=20for=20our=20clients.=20In=20addition=20you=
=20will=20be=20responsible=20for=20providing=20advice=20to=20our=20clients=
=20on=20study=20design=20and=20statistical=20regulatory=20issues=20coverin=
g=20a=20varied=20range=20of=20studies=20in=20different=20therapeutic=20are=
as.=20
=20=20
Qualifications:=20
=20=20
Ideal=20candidates=20will=20be=20ambitious=20and=20enthusiastic.=20You=20s=
hould=20hold=20an=20MSc=20in=20Statistics=20or=20an=20equivalent=20qualifi=
cation,=20with=20statistical=20experience=20gained=20within=20the=20pharma=
ceutical=20industry.=20Knowledge=20of=20SAS=AE=20is=20essential.=20
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
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urity=20System.
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=========================================================================
Date: Thu, 22 Sep 2005 00:21:01 -0700
Reply-To: Omar Farook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Omar Farook <[log in to unmask]>
Subject: PPT- Control Chart
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear Friends,
Good Morning.
I have been asked to create a PPT of "Control Chart".
Any ideas about the key points (agenda) that should be included in the PPT?
Thanks in advance.
Omar
[log in to unmask]
---------------------------------
Yahoo! for Good
Click here to donate to the Hurricane Katrina relief effort.
=========================================================================
Date: Thu, 22 Sep 2005 09:36:57 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Statistician for Business Analytics Role in New Department
=?ISO-8859-1?Q?=96_(International_Finance)_=96?= LONDON
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
NOW is an exciting time to join the analytics department of my client, a=20
leading name in international finance. The department is relatively new, so =
you will be rolling your sleeves up to do whatever needs doing =96 from data=
=20
mining and data manipulation through to data analytics and statistical=20
model building.
Work will involve strong knowledge of SAS and SQL as well as the ability to =
thrive in a fast-paced, ever evolving environment. Able to work with little =
supervision you will take responsibility for pre-agreed deliverables, which =
will involve consulting and presenting to business heads, providing them=20
with actionable information to enable accurate business decisioning.=20
To be considered you will need upwards of 12 months statistical analysis=20
experience following graduation in a numerical degree. Call today to find=20
out more about how you can take my client and your career on to the next=20
level.
Location: London
Package: to mid-=A330=92s + financial company benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8990/DJ in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx=20
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Thu, 22 Sep 2005 09:49:55 +0100
Reply-To: Carol Coupland <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carol Coupland <[log in to unmask]>
Subject: JOB: Research Statistician, University of Nottingham
Mime-Version: 1.0
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Research Statistician (Fixed-term)
School of Community Health Sciences
Division of Primary Care
Centre for Population Sciences - QRESEARCH
University of Nottingham
Applications are invited for the above post working with senior academics i=
n the Centre for Population Sciences, Institute for Clinical Research. The=
Centre for Population Sciences hosts a major new clinical database, called=
QRESEARCH, which is derived from the clinical computer records of patients=
in general practices in England and Wales. This gives it enormous potenti=
al as a resource for research purposes. The successful candidate will unde=
rtake analyses and also provide statistical advice across a broad range of =
projects. The Research Statistician will be supported by a wider group of =
medical statisticians within the Medical School.
Essential requirements include a postgraduate degree in medical statistics =
or equivalent discipline, a good level of general research skills, knowledg=
e of statistical methods, experience of using statistical analysis software=
packages (preferably Stata) and experience of undertaking statistical anal=
yses in large datasets.
Salary will be within the range =A322,507 - =A329,128 per annum, depending =
on qualifications and experience. This full-time post is available immedia=
tely, will be offered on a fixed-term contract for a period of two years an=
d is open to job share/part-time candidates.
Informal enquiries may be addressed to Professor J Hippisley-Cox, Email: Ju=
[log in to unmask] or Dr C Coupland, Email: Carol.Coupland@=
Nottingham.ac.uk.
Further details and application forms are available on the WWW at: http://w=
ww.nottingham.ac.uk/hr/vacancies/other.html or from the Human Resources Dep=
artment, The University of Nottingham, King's Meadow Campus, Lenton Lane, N=
ottingham, NG7 2NA. Please quote VJF/634. Closing date: 6 October 2005.
---------------------------------------------------------------------------=
------------
Dr Carol Coupland
Division of Primary Care
School of Community Health Sciences
Floor 13, Tower Building,
University of Nottingham
Nottingham NG7 2RD
Tel: 0115 8466916 (or ext.66916)
Fax: 0115 8466904
email: [log in to unmask]
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 22 Sep 2005 10:16:13 +0100
Reply-To: Nicky Welton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nicky Welton <[log in to unmask]>
Subject: PhD Studentship (re-advertised)
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Content-Type: text/plain; charset=ISO-8859-1
MRC HSRC
FOUR-YEAR PhD STUDENTSHIP IN HEALTH SERVICES RESEARCH
START January 2006
A studentship is now available with the MRC Health Services Research=20
Collaboration, based at the Department of Social Medicine, University of=20
Bristol.
PROJECT TITLE:
=91Multiple Outcome Evidence Synthesis for Decision Making.=92
YOU SHOULD HAVE:
=A7 A good first degree or MSc in a maths-based subject.
DESIRABLE BUT NOT ESSENTIAL ARE:
=A7 Masters degree in an area of applied statistics, or in a health /=20
psychology or related subject.
=A7 Experience in medical, psychological or biological applications.
=A7 Experience with WinBUGS and S-Plus/R.
=A7 Knowledge of Bayesian theory and methods.
=A7 General programming skills.
Funding is for four years and offers excellent opportunities for integrated =
training and personal development.
Closing date for applications is 31st October 2005
PLEASE NOTE THAT ONLY EU CITIZENS ARE ELIGIBLE FOR FUNDING - please check=20
HSRC website for full conditions of eligibility
For further details / application form, please contact the HSRC office 0117 =
928 7262 or email:- [log in to unmask], quoting ref: WEL01-05
All information and project details are available on our website:=20
www.hsrc.ac.uk
For an informal discussion, please contact Nicky Welton,=20
[log in to unmask]
=========================================================================
Date: Thu, 22 Sep 2005 11:32:38 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: multiple testing
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi all,
When I learnt statistics, I learnt that if you are going to test more than
once in your experiment, you should adjust for multiple testing, usually
by means of a Bonferroni correction. However, having actually done
statistics for psychiatric research for a year, I found that in practice,
one can't really do it. That's because in the work that I do, people
generally want to test many things in a single paper, not to mention the
quality control tests such as testing for age difference at baseline. I'm
sure other medical statisticians will no doubt have seen one of these
papers littered all over with p-values.
My question is: How have more experienced medical statisticians come to
terms with this? We usually collect massive amount of information per
project. Each score will have sub-scores, and sub-scores are made up of
individual questions. Are individual questions really not of interest? But
if we look at each individual question separately then no doubt we'll end
up with a plethora of tests per paper. After all, is there really no value
in fishing for significant results? If we don't do this, how are we going
to discover something new?
Thanks for any comments.
Tim
=========================================================================
Date: Thu, 22 Sep 2005 14:43:56 +0100
Reply-To: Carol Coupland <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carol Coupland <[log in to unmask]>
Subject: QUERY: confidence interval around rate of recurrent events
Mime-Version: 1.0
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I am wanting to calculate confidence intervals around annual rates where th=
e events (gp consultations)
are recurrent, and also clustered by practice.
I'd appreciate advice on ways of doing this (ideally using Stata).
Thanks
Carol Coupland
---------------------------------------------------------------------------=
------------
Dr Carol Coupland
Division of Primary Care
School of Community Health Sciences
Floor 13, Tower Building,
University of Nottingham
Nottingham NG7 2RD
Tel: 0115 8466916 (or ext.66916)
Fax: 0115 8466904
email: [log in to unmask]
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 22 Sep 2005 14:51:22 +0100
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Competing risks modelling - survival analysis
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Hello everyone,
I was wondering if anyone who has had experience of 'survival analysis'
knows of any clear references which talk about modelling when there are
"competing risks"? This is often referred to as a 'cumulative incidence
procedure'. =20
I am very interested in this as standard methods of survival analysis
are inadequate when the outcome of interest is unobserved due to
occurrence of a competing event. For example, in the case of calcuating
"relapse" probability, relapse may not be observed because the patient
has died in remission.
I would be most grateful for any good, clear references (especially
books) which deal with this topic.
Many thanks,
Kim.
=========================================================================
Date: Thu, 22 Sep 2005 15:04:14 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW CONTRACT VACANCIES: 3 x Statistical Programmers (Pharmacokine
tic & Pharmacodynamic Support) - 1 year contracts UK based.
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstaters,
please find attached the 3 latest contract vacancies,
TITLE: 3 x Statistical Programmers - Pharmacokinetic & Pharmacodynamic
Support
ROLE: Will provide expertise, standardisation, methods and processes for the
development and completion of derived datasets for the clinical PK/PD. The
programmer will offer dedicated support to the clinical PK/PD group for all
phase of studies that will provide standardised datasets to be used to
conduct PK analysis. The programmer may assist with the development of new
areas of work, establishing a generic solution. The programmer may provide
training, support and guidance to local and global colleagues.
SKILLS: Minimum 3 years SAS experience, Macro programming experience,
Pharmaceutical Reporting experience, Excellent communication skills,
Excellent analytical skills, Ability to work independently, as part of a
group and ask questions, S-Plus experience (essential for one of the
positions - desired for others) & Experience of ETL from a variety of data
sources - (essential for one of the positions - desired for others)
Desirable; Experience with PK data or a Statistics background - desired
RATE: Dependant on Experience
LOCATION: South East - UK
START DATE: ASAP, but they will wait up to 8 weeks for notice periods / the
right candidate.
CONTRACT LENGTH: 12 months renewable contracts
If you are interested in these contracts, please get in contact ASAP. If you
are not interested / not available but know someone who would be interested
by this, please feel free to pass my details forward...
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
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printing or copying of this e-mail is strictly prohibited. While every
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responsibility for the loss of business or damage caused arising from this
email.
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=========================================================================
Date: Thu, 22 Sep 2005 15:10:21 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: 3 X Statistical Programmer-12 month Contract-South East
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstaters,
=20
Please=20find=20below=20our=20latest=20contract=20vacancy.=20Please=20cont=
act=20to=20discuss
the=20role=20in=20more=20detail.
=20
Contract=20Statistical=20Programmers-12=20months
=20
Business=20Type:=20Pharmaceutical=20Company=20
Job=20Type:=20Data=20Management/Statistics=20
Position=20type:=20Contract=20
Location:=20United=20Kingdom=20
=20=20
Background:=20
=20=20
My=20client=20is=20actively=20looking=20for=203=20Statistical=20Programmer=
s=20who=20will
provide=20expertise,=20standardization,=20methods=20and=20processes=20for=20=
the
development=20and=20completion=20of=20derived=20datasets=20for=20the=20cli=
nical=20PK/PD
group=20
=20=20
Primary=20Duties:=20
=20=20
Contributing=20to=20overall=20clinical=20summaries=20as=20needed.=20Provid=
ing=20datasets
for=20outsourcing=20to=20CROs=20as=20needed=20Completing=20QC=20&=20docume=
ntation=20to
support=20programming=20deliveries=20Provide=20programming=20support=20for=
=20PK/PD
modeling=20and=20simulation=20in=20compliance=20with=20relevant=20SOPs=20a=
nd=20WPs=20
=20=20
Qualifications:=20
=20=20
Minimum=203=20years=20SAS=20experience=20Macro=20programming=20experience=20=
-=20essential
Pharmaceutical=20Reporting=20experience=20Excellent=20communication=20skil=
ls=20-
verbal=20and=20written=20Excellent=20analytical=20skills=20
=20
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Thu, 22 Sep 2005 15:31:32 +0100
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: SP SEMINAR:Wednesday 28th September
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Content-Transfer-Encoding: 7bit
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Review of reinforced random walks and processes
Stanislav Volkov University of Bristol
Wednesday, 28th September 2005, 2pm
The Whittaker Room (211)
Abstract:
Reinforced processes are stochastic processes (discrete or continuous time)
on graphs which exhibit "homesick" behavior, namely the like visit the
"places" the have already visited. I will describe various reinforced
random processes and their surprising properties, and outline the results
achieved in this area. A special consideration will be given to the
processes for which I have made a contribution, namely vertex-reinforced
random walks on graphs (Ann Prob 99, 01) Continuous time vertex-reinforced
jump processes (PTRF 02, 04) Excited random walk on trees (EJP, 03) OK
Corral (JTP, 03)
The talk is partly based on collaborations with Burgess Davis, Robin
Pemantle, and Sir John Kingman.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Thu, 22 Sep 2005 17:18:50 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Statistical Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Statistical Programmer
=20
Salary: CHF100 p/hour=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Switzerland=20
=20
Background:=20
=20
Responsible for the inpute specifications for analysis of clinical
trials and for project deliverables. Subsequent timely delivery of high
quality tables, listings and graphs of clinical trials. Represent line
function within clinical teams. Ensure that documents and specifications
are consistent and comply with company standards.=20
=20
Qualifications:=20
=20
Expert knowledge of SAS. Demonstrated ability to lead programming
aspects of clinical trial. Computer literate. Fluent in English. Good
knowledge of clinical trials, statistics. A BA/BSc (minimum) degree in
Computer Science, Statistics or related scientific field. At least 5
years in roles as Statistical Programmer (pharmaceutical or CRO).=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
grv-3078'.=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask]
<mailto:[log in to unmask]> =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Thu, 22 Sep 2005 17:37:50 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Head of Biostatistics, Modelling and Simulation
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
Head of Biostatistics, Modelling and Simulation
=20
Salary: 115k euros=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: Germany=20
=20
Background:=20
=20
Serve as a member of the development organisation and play a key pivotal
role in supporting other development functions with his/her team to
improve the efficiency and effectiveness of its clinical research plans
and projects toward commercialisation of higher value therapeutics. This
position has broad responsibility for Phases I-IV clinical trials. Lead
and manage an international team of statisticians in the company;
provide membership to the international clinical teams, assuring
statistical expertise to the design, analysis and reporting of clinical
programs and trials.=20
=20
Qualifications:=20
=20
Ph.D in Statistics or Mathematics with at least 10 years of relevant
experience in the field of clinical trials, at least 4 years of which
should be in a significant statistical leadership role within a large
pharmaceutical or biotechnology company, preferably with a global
setting. Strong expertise in clinical trials methodology; proven ability
to develop and implement innovative programs and processes and the
demonstrated ability to build productive relationships and teams
internally and externally.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an update CV quoting the reference
grv-3347'.=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Thu, 22 Sep 2005 20:02:58 +0100
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: Stats course in the UK with special guest instructor
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Apologies for cross-posting
We would like to announce a 5-day course in Newburgh, UK with guest
instructor: Prof. Ian T. Jolliffe
-Various of these modules are also being taught on a European MSc and UK MSc.
-Course material is based on: Zuur, A.F., Ieno, E.N., and Smith, G.M.
(Forthcoming). The Analysis of Ecological Data.
When: Monday 22 May until Friday 26 May 2006.
Where: Ythan hotel, Newburgh, Aberdeenshire, UK
Course: "Analysing Biological and Environmental Data -Using Multivariate
Analysis -".
This is a special course with Prof. Ian Jolliffe as guest lecture. He is
author of the book 'Principal Component Analysis' published in 2002, which
is probably the most comprehensive text on this subject! He has co-authored
two other books and has over 70 other publications. The other instructors
are Dr. Alain F. Zuur and Dr. Elena Ieno.
The main subject of the course in principal component analysis, but we will
also discuss related methods as redundancy analysis, db-RDA
transformations, correspondence analysis, canonical correspondence analysis
and discriminant analysis.
Open to: Anyone. This is a non-technical course for biologist.
Price: 500 GBP for students and 600 GBP per non-student. Prices are
excluding 17.5% VAT. The fee includes coffee and tea, course material and a
1-year license for Brodgar. Early booking is recommended.
Further details: www.brodgar.com
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate analysis
and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and multivariate
time series analysis
Brodgar complies with R GNU GPL license
=========================================================================
Date: Fri, 23 Sep 2005 09:39:52 +0800
Reply-To: Philip Yu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Philip Yu <[log in to unmask]>
Subject: [Conference] The 5th IASC Asian Conference on Statistical
Computing (IascAsian05)
MIME-Version: 1.0
Content-Type: text/plain; charset="ks_c_5601-1987"
Content-Transfer-Encoding: quoted-printable
Call for Papers (Reminder)
The 5th IASC Asian Conference on Statistical Computing (IascAsian05)
15-17 December 2005, Hong Kong
=20
Dear Sir/Madam,
=20
Greetings from IascAsian05.
=20
We are pleased to announce that the captioned conference (IascAsian05) =
will be held in Hong Kong, 15-17 December 2005.
=20
Call for papers: Papers both applied and theoretical, are invited for =
presentation at the conference. Please send a soft copy of the abstract =
to us, preferably by email, on or before October 1, 2005. The deadline =
for submission of full papers (optional) to the conference proceedings =
is October 15, 2005. The papers will not be refereed.
Online Registration: Please be noted that registration has to be done =
online. Payment can be made by credit card (online), international =
money order or cheque.
Social Function (Optional): A Peak Tower + Dinner on December 17, =
Evening has been arranged.=20
Hotels and Air Tickets : There will be a lot of activities held in Hong =
Kong in mid of December, for example, the WTO Meeting. Participants are =
strongly advised to book a hotel room and the air ticket as early as =
possible.
Best Student Paper Awards: Students who submit full papers will be =
considered for the award. Each selected student will be given a =
certificate and a cash price. Colleagues can encourage your students to =
participate in the event.
=20
Keynote Speakers: We are proud to announce that the renowned =
statisticians will deliver keynote speeches at IascAsian05 meeting.
=20
* Professor Peter Hall
* Professor Tze-Leung Lai=20
=20
Workshops: We have also arranged two workshops (including in the =
registration fee) for conference participants to join. =20
=20
For more details of the conference, see
http://www.hku.hk/statistics/IascAsian05
=20
We look forward to meeting you in December 2005.
=20
Best wishes,
=20
Wing K. Fung (Conference Chairman)
Jae Chang Lee (Conference Co-Chair)
Yutaka Tanaka (Conference Co-Chair)
The 5th IASC Asian Conference on Statistical Computing (IascAsian05)
E-mail : [log in to unmask]
Tel. : (852) 2859 2467; Fax : (852) 2858 9041 =20
Home Page: http://www.hku.hk/statistics/IascAsian05/
=========================================================================
Date: Fri, 23 Sep 2005 09:56:42 +0100
Reply-To: Koen Mintiens <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Koen Mintiens <[log in to unmask]>
Subject: Job: BIOSTATISTICIAN in Brussels, Belgiuim
Dear all,
The Veterinary and Agrochemical Research Centre (VAR) in Brussels offers a
position for a Biostatistician.
For more information please consult the VAR website:
http://www.var.fgov.be/jobs_eng.php
Best regards,
Koen Mintiens
=========================================================================
Date: Fri, 23 Sep 2005 10:55:01 +0100
Reply-To: "Bland, M." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Bland, M." <[log in to unmask]>
Organization: University of York
Subject: Replies to query: multicentre clinical trials
Comments: To: "Torgerson, David" <[log in to unmask]>
MIME-Version: 1.0
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<>Many thanks to all who replied to my query about multicentre clinical
trials. I summarise the answers below.
<>My original query was this: <>I have been asked whether I know of a
reference giving the views of medical statisticians looking at centre
effects in multi-centred clinical trials. Does anybody have any suggestions?
From Ly-Mee Yu
Here is the one I can think of:
<>Localio AR, et al. Adjustment for center in multicenter studies: an
overview. Ann Intern Med 2001; 135: 112-23
From Anna Passera:
<>My university friend, Matthew Jones has carried out a PhD project on
this subject in collaboration with GSK. And has since published a paper
with other authors. Even though I work at GSK, my knowledge about this
subject is entirely from Matthew Jones.
Here is the reference to the paper:
<>Fedorov V., Jones B., Jones C.M. and Zhigljavsky A.A - Estimation of
the treatment difference in multicenter trials, Journal of
Biopharmaceutical Statistics, Volume 14, Number 4, 1037 - 1063, 2004.
And he has also given me permission to send on his PHd project to you if
you require it.
From Andrea Manca:
<> We have explored this issue in the context of trial-based
cost-effectiveness analysis (there are some useful references at the
back of our manuscript):
<>Manca A,Rice N,Sculpher MJ,Briggs AH,Assessing Generalisability By
Location in Trial-based Cost-effectiveness Analysis: the Use of
Multilevel Models.. Health Economics. 14(5):471-85. May 2005.
<>The above is a methodological paper, but I have implemented the ideas
outlined in as part of the CEA of the UKBEAM trial:
BEAM Trial Investigators,UK Back pain Exercise And Manipulation (UKBEAM)
randomised trial: cost-effectiveness of physical treatments for back
pain in primary care. British Medical Journal. 329(7479):1381-1386. 10
Dec 2004.
<>In terms of analytical work on the clinical effectiveness side, Chris
Roberts has published something specific to "health professional effect"
rather than "centre", I think this was<>
Roberts C. The implication of variation in outcome between health care
professionals for the design and analysis of randomised controlled
trials. Statistics in Medicine 1999;18:2605-2615. <>
Other interesting references include <>
Localio AR, Berlin JA, Ten Have TR, Kimmel SE. Adjustment for center in
multicenter studies: an overview. Annals of Internal Medicine
2001;135:112-123. <>
Skene AM, Wakefield JC. Hierarchical models for multicentre binary
response studies. Statistics in Medicine 1990;9:919-29.
From Doug Altman:
The following may be useful:
A series of papers in J Clin Epidemiol:
Within trial variation--a false trail? Altman DG J Clin Epidemiol. 1998
Apr;51(4):301-3.
Comment in: J Clin Epidemiol. 1998 Apr;51(4):297-9.
<>Comment on:
J Clin Epidemiol. 1997 Jul;50(7):749-51.
J Clin Epidemiol. 1997 Jul;50(7):753-5.
ALSO:
<>Stat Methods Med Res. 2005 Jun;14(3):205-48. The design of multicentre
trials. Fedorov V, Jones B. <>
J Biopharm Stat. 2004 Nov;14(4):1037-63. Estimation of the treatment
difference in multicenter trials. Fedorov V, Jones B, Jones M,
Zhigljavsky A.
<>
J Dent Res. 2004;83 Spec No C:C119-21. Related Articles, Links Methods
for pooling results from multi-center studies. Worthington H. Free at
http://jdr.iadrjournals.org/cgi/reprint/83/suppl_1/C119 <>
Ann Intern Med. 2001 Jul 17;135(2):112-23. Adjustments for center in
multicenter studies: an overview. Localio AR, Berlin JA, Ten Have TR,
Kimmel SE. <>
Thanks to all.
Martin
--
***************************************************
J. Martin Bland
Prof. of Health Statistics
Dept. of Health Sciences
Seebohm Rowntree Building Area 2
University of York
Heslington
York YO10 5DD
Email: [log in to unmask]
Phone: 01904 321334
Fax: 01904 321382
Web site: http://www-users.york.ac.uk/~mb55/
***************************************************
=========================================================================
Date: Fri, 23 Sep 2005 11:17:05 +0100
Reply-To: Andrea Jorgensen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrea Jorgensen <[log in to unmask]>
Subject: Job: Lecturer/Senior Lecturer in Medical Statistics, Liverpool
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Potential applicants are welcome to contact and/or visit beforehand.
THE UNIVERSITY OF LIVERPOOL
CENTRE FOR MEDICAL STATISTICS AND HEALTH EVALUATION
& CR-UK LIVERPOOL CANCER TRIALS UNIT
LECTURER/SENIOR LECTURER IN MEDICAL STATISTICS
Initial salary within the range =A325,633 - =A349,115 pa
The CR-UK Liverpool Cancer Trials Unit (LCTU) is committed to building upon =
its success in the coordination of national and international cancer trials =
for which we have developed particular expertise.
This post is to strengthen the statistical aspects of the work undertaken=20
within the LCTU. The postholder will collaborate with senior researchers in =
planning new projects including grant applications and develop a personal=20
programme of methodological and/or applied research.
The post-holders should have an MSc or PhD in medical or applied=20
statistics, be able to work independently as well as part of a team, and=20
have effective interpersonal skills.
Enquiries to Professor Paula Williamson on 0151-794-4760, email:=20
[log in to unmask], or Professor John Neoptolemos, on 0151-706-4175, email:=20
[log in to unmask]
Closing Date: 30th November
Further particulars and details of the application procedure should be=20
requested from the Director of Personnel, The University of Liverpool,=20
Liverpool l69 3BX on 0151 794 2210 (24 hr answerphone) email:=20
[log in to unmask] or are available online at=20
http://www.liv.ac.uk/university/jobs.html
COMMITTED TO EQUAL OPPORTUNITIES
=========================================================================
Date: Fri, 23 Sep 2005 16:17:07 +0100
Reply-To: Justin Fenty <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Justin Fenty <[log in to unmask]>
Subject: Job: Research Statistician
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Dear Allstat-ers
I have been asked to post this to the list. If you are interested please re=
ply to the contacts below:
*****************************
School of Community Health Sciences
Division of Primary Care
Centre for Population Sciences - QRESEARCH
=20
Research Statistician (Fixed-term)
=20
Applications are invited for the above post working with senior academics in
the Centre for Population Sciences, Institute for Clinical Research. The
Centre for Population Sciences hosts a major new clinical database, called
QRESEARCH, which is derived from the clinical computer records of patients
in general practices in England and Wales. This gives it enormous potential
as a resource for research purposes. The successful candidate will
undertake analysis and also provide statistical advice across a broad range
of projects. The Research Statistician will be supported by a wider group
of medical statisticians within the Medical School.
=20
Essential requirements include a postgraduate degree in medical statistics
or equivalent discipline, a good level of general research skills, knowledge
of statistical methods, experience of using statistical analysis software
packages (preferably Stata) and experience of undertaking statistical
analyses in large datasets.
=20
Salary will be within the range =A322,507 - =A329,128 per annum, depending =
on
qualifications and experience. This full-time post is available
immediately, will be offered on a fixed-term contract for a period of two
years and is open to job share/part-time candidates.
=20
Informal enquiries may be addressed to Professor J Hippisley-Cox, Email:
[log in to unmask] or Dr C Coupland, Email:
[log in to unmask]
=20
Further details and application forms are available on the WWW at:
http://www.nottingham.ac.uk/hr/vacancies/other.html or from the Human
Resources Department, The University of Nottingham, King's Meadow Campus,
Lenton Lane, Nottingham, NG7 2NA. Please quote VJF/634. Closing date: 6
October 2005.
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Fri, 23 Sep 2005 17:16:31 +0100
Reply-To: Bruce Hunt <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Bruce Hunt <[log in to unmask]>
Subject: JOB: Statistician - Market Research
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Senior Statistical Executive
Location: Warkwickshire
Salary: To =A335K base + flexi-benefits
Ref: G1417
Senior Statistical Executive for a leading market research agency to =
help their clients maximise the equity, performance and health of their =
brands. You must have a degree (and preferable a MSc/PhD) in statistics, =
econometrics or similar; advanced Excel; 4+ years experience; and skills =
in time series/regression analysis using statistics software. =
Advertising and price modelling experience; knowledge of SPSS or VB, and =
client-facing skills would be useful.
You will be conducting and reporting on econometric analyses carried out =
on behalf of "blue chip" clients. This will entail taking responsibility =
for the client's modelling needs; examining the effects of advertising, =
pricing, promotion and other factors in order to inform decision-making =
and provide input for client's marketing strategy. You will give input =
into the sales modelling approach for each project; generate meaningful =
insights from the data and provide value-added service to clients. You =
will ensure that the appropriate recommendations are communicated to the =
client; keep up-to-date with the company's methodologies and R&D =
initiatives; and also be involved in the analysis of large scale survey =
projects.
For further details please contact: Bruce Hunt on 01235-203921 or email =
your details to:
[log in to unmask]
Bruce Hunt Associates Ltd
=========================================================================
Date: Fri, 23 Sep 2005 17:20:12 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB - Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Statistician
=20
Salary: GBP 25-30k=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom=20
=20
Background:=20
=20
As a Statistician, you would provide a vital contribution to our
company. You would be responsible for writing analysis plans, analysing
data and writing statistical reports. you would also have the
opportunity to support our senior personnel in providing a full and
varied consultancy service to our clients on all aspects of statistics.=20
=20
Qualifications:=20
=20
You should hold an MSc in Statistics or an equivalent qualification,
with 12 months of statistical experience gained within the
pharmaceutical industry. Knowledge of SAS is essential. You will be
expected to enhance your technical, inter personal and project
management skills.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-40111'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Sun, 25 Sep 2005 16:23:55 +0100
Reply-To: Langdon W B <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Langdon W B <[log in to unmask]>
Subject: online paper on Drug Discovery, Design and Development
Comments: cc: [log in to unmask]
In-Reply-To: Your message of "Tue, 20 Sep 2005 08:10:34 -0000."
<[log in to unmask]>
Just to let you know Steven and I have a paper which
discusses statistics and machine learning in the
pharmaceutical industry at the current Internet conference
(WSC10 is open until 7 October).
"Advances in the Application of Machine Learning Techniques in
Drug Discovery, Design and Development"
S J Barrett (GlaxoSmithKline) and W B Langdon
Abstract
Pharmaceutical discovery and development is a cascade of extremely
complex and costly research encompassing many facets from:
therapeutic target identification and bioinformatics study,
candidate drug discovery and optimisation to pre-clinical
organism-level evaluations and beyond to extensive clinical trials
assessing effectiveness and safety of new medicines. Machine
learning, in particular support vector machines SVM, particle swarm
optimisation PSO and genetic programming GP, is increasingly used.
WSC10 is a free online conference.
You need to register, eg via
http://www.cranfield.ac.uk/wsc10/
first. Then go to "Design".
http://isxp1010c.sims.cranfield.ac.uk/Papers/paper196.pdf
142 Kbytes
http://isxp1010c.sims.cranfield.ac.uk/Presentations/presentation196.pdf
slides (1Mbyte)
We would welcome any comments or discussion points via the
"View/Post messages" button below the article.
Bill
=========================================================================
Date: Sun, 25 Sep 2005 21:39:24 +0100
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: boxplot, p-p and q-q plot
MIME-Version: 1.0
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hi,
I have following two questions.
1. how to conclude about normality of data (i.e. the data following normal distribution or not) from its boxplot?
2. is there any difference between p-p plot and q-q plot?
thanks in advance.
with regards.
madan gopal kundu
*************************Address separator*******************************************************
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web. http://www.freewebs.com/madanstata
*****************************************************************************************************
---------------------------------
Yahoo! India Matrimony: Find your partner now.
=========================================================================
Date: Sun, 25 Sep 2005 15:03:06 -0700
Reply-To: Raya Feldman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raya Feldman <[log in to unmask]>
Subject: open level position at UC Santa Barbara
Comments: cc: Juliana Espinosa <[log in to unmask]>
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Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
OPEN LEVEL POSITION AT UNIVERSITY OF CALIFORNIA SANTA BARBARA
The Department of Statistics and Applied Probability invites applications
for an open level position in Stochastic Analysis
(particularly Mathematical Finance), starting July 1, 2006.
Qualifications: research and teaching excellence and PhD in
Statistics, Mathematics, or relevant field.
To apply submit resume, statement of research and teaching objectives, the
American Mathematical Society Cover Sheet (available online at
http://www.ams.org), and have four letters of reference sent (at least one
of which is directed towards teaching). Materials should either be
submitted electronically via http://www.mathjobs.org or sent to:
Search Committee
Department of Statistics and Applied Probability
University of California
Santa Barbara, CA 93106-3110 USA
Screening begins December 10, 2005. We will consider applications until
the position is filled. Candidates who can contribute
to the diversity and excellence of the academic community through
research, teaching and service are particularly encouraged to apply.
An EO/AA employer.
=========================================================================
Date: Sun, 25 Sep 2005 22:08:26 -0400
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Comparing more than two means
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Dear All,
What statistical methods are presently available to compare more than two m=
eans?
Thank you all!
Raphael
=========================================================================
Date: Sun, 25 Sep 2005 22:35:52 -0400
Reply-To: John Sorkin <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Sorkin <[log in to unmask]>
Subject: Re: Comparing more than two means
Comments: To: [log in to unmask]
Mime-Version: 1.0
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Raphael,
I suggest you explore ANOVA.
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC and
University of Maryland School of Medicine Claude Pepper OAIC
University of Maryland School of Medicine
Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
410-605-7119
NOTE NEW EMAIL ADDRESS:
[log in to unmask]
>>> Raphael Fraser <[log in to unmask]> 9/25/2005 10:08:26 PM
>>>
Dear All,
What statistical methods are presently available to compare more than
two means?
Thank you all!
Raphael
=========================================================================
Date: Mon, 26 Sep 2005 07:56:10 +0100
Reply-To: Neil H Spencer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neil H Spencer <[log in to unmask]>
Subject: One-Day Courses in Statistics: University of Hertfordshire
Comments: To: [log in to unmask],
[log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask], [log in to unmask]
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The University of Hertfordshire's Statistical Services and Consultancy =
Unit
is pleased to be able to offer places on one-day courses in Statistics =
this
coming Autumn/Spring.
"Getting Started with Stats": Weds 19th October, 25th January
"Comparing Groups": Weds 2nd November, 8th February
"Relationships in Data": Weds 23rd November, 25th January
"Survey Design and Sample Size": Weds 7th December, 8th March
For further details of these (and other) courses, please see below and =
at
http://www.herts.ac.uk/business/centres/sscu
(click on "Short Courses" at the web site)
GETTING STARTED WITH STATS
This course is aimed at all who need to learn about the very basics of
analysing and presenting statistical data. No prior knowledge of
statistics is assumed. Anyone who needs to deal with data in their
work should be able to participate fully.
COMPARING GROUPS
This course is aimed at all who have groups in their data that need to
be compared and contrasted, whether the data come from a survey,
experiment or elsewhere, and covers topics in hypothesis testing.
RELATIONSHIPS IN DATA
This course is aimed at all who need to examine their data for
relationships that may or may not exist, whether the data come from
a survey, experiment or elsewhere, and covers the topics of simple
and multiple regression.
SURVEY DESIGN AND SAMPLE SIZE
This course is aimed at all who need to design surveys, covering the
topics of good survey design, sample size determination and power.
Details of fees, discounts, etc. are available by clicking on "Short
Courses" at the web site
http://www.herts.ac.uk/business/centres/sscu.
If you have any questions about our courses or any other service we
offer, please contact me.
Dr Neil H. Spencer
Director of Statistical Services and Consultancy Unit
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit
Business School, University of Hertfordshire,
de Havilland Campus, Hatfield,
Hertfordshire, AL10 9AB, U.K.
Statistical Services and Consultancy Unit Contact Details:
Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/centres/sscu
Personal Contact Details:
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/staff_public/nhspencer_public
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
=========================================================================
Date: Mon, 26 Sep 2005 08:17:44 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Principle Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Principle Statistician
=20
Salary: GBP 45 - 50k=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: United Kingdom=20
=20
Background:=20
=20
Our Statistics group provide support across all phases of clinical
trials. Working as a Principal Statistician you will be involved in
close liaison with our customers and in house team of Data Managers,
Statisticians and Medical Writers. You will be responsible for managing
the production of analysis plans, analysis of clinical trial data and
the production of statistical tables, figures and reports for our
clients. In addition you will be responsible for providing advice to our
clients on study design and statistical regulatory issues covering a
varied range of studies in different therapeutic areas.=20
=20
Qualifications:=20
=20
You will be ambitious and enthusiastic. You should hold an MSc in
Statistics or an equivalent qualification. 7 years experience gained
within the pharmaceutical industry. Knowledge of SAS is essential.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please complete the online application or contact us for
further information. Please quote reference 'CI-40113'.=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
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Date: Mon, 26 Sep 2005 08:58:00 +0100
Reply-To: Adrian Roberts <[log in to unmask]>
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From: Adrian Roberts <[log in to unmask]>
Subject: QUERY: Modelling Quantitative PCR
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Has anyone experience they are willing to share of statistical modelling
of real-time quantitative polymerase chain reaction (PCR) for measuring
DNA concentrations? In particular, I am interested in its behaviour when
the concentration is very low or even zero.
Thanks
Adrian Roberts
=========================================================================
Date: Mon, 26 Sep 2005 09:16:26 +0100
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From: Robert Newcombe <[log in to unmask]>
Subject: REFERENCE - equilateral triangle to display trinomial
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I vaguely recall seeing some reference to the use of an equilateral triangle as
a geometrcal representation for any three proportions p1, p2 and p3 adding to 1,
and perhaps also a vaguely (won't be exactly) elliptical confidence region for
the point representing (p1, p2, p3). Could someone please send me the reference
for this?
Thanks.
Robert G. Newcombe PhD CStat FFPH
Professor of Medical Statistics
Wales College of Medicine
Cardiff University
Heath Park
Cardiff CF14 4XN
Phone 029 2074 2329
Fax 029 2074 2898
http://www.cardiff.ac.uk/medicine/epidemiology_statistics/research/statistics/newcombe.htm
=========================================================================
Date: Mon, 26 Sep 2005 10:07:42 +0100
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From: Timothy Mak <[log in to unmask]>
Subject: SUMMARY: multiple testing
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Hi Allstat,
The response to my question exceeded my expectation. While different
authors offered different advice/opinions, what is clear is that this
question is a contentious one. In particular, I want to highlight the two
late replies given by Blaise Egan and Duncan Hedderly, which I think
address my concern best. Both of the articles favoured the view that no
multiple testing procedure is needed for the usual type of epidemiological
research, but do look at the response to the BMJ article which argued that
statisical adjustments are mandatory!
I think that the issue may be less complicated than it seems if we
considered the background of the authors. Epidemiologists tend to favour
not using these multiple testing procedures, while clinical trialists tend
to favour them. Epidemiologists tend to ask many loosely related questions
in a study and therefore using multiple testing procedures does tend to
add to the confusion by somehow suggesting that they are all under one
experiment, while clinical trialists usually have one major goal in mind
in a study, and using multiple comparison procedures helps to reduce false
positives when such results are used for clinical decisions.
Lastly if one do decide to adjust for multiple testing, there now seems to
be clear, better alternatives than Bonferroni correction. I haven't had
time to read about the False Discovery Rate, or the Holm method, but the
references are here if you want to look further.
Thanks again to all who responded. Given below is my original query
followed by all relevant answers.
Original query:
When I learnt statistics, I learnt that if you are going to test more than
once in your experiment, you should adjust for multiple testing, usually
by means of a Bonferroni correction. However, having actually done
statistics for psychiatric research for a year, I found that in practice,
one can't really do it. That's because in the work that I do, people
generally want to test many things in a single paper, not to mention the
quality control tests such as testing for age difference at baseline. I'm
sure other medical statisticians will no doubt have seen one of these
papers littered all over with p-values.
My question is: How have more experienced medical statisticians come to
terms with this? We usually collect massive amount of information per
project. Each score will have sub-scores, and sub-scores are made up of
individual questions. Are individual questions really not of interest? But
if we look at each individual question separately then no doubt we'll end
up with a plethora of tests per paper. After all, is there really no value
in fishing for significant results? If we don't do this, how are we going
to discover something new?
Thanks for any comments.
******************************
Michael meyners:
in brief, you might want to use the False Discovery Rate (FDR). To start
with, see Benjamini & Hochberg, J R Stat Soc B, 57, 1995, 289-300. Also,
you might want to browse a little through the literature for the analysis
of gene expression data, as they have a similar problem as well (I'd say
that their hypotheses are less "dependend" than yours might be, but it
might give you some ideas, though).
*********************
Allan Reese:
I used to deal with many student surveys, generally in social science or
education. The advice I offered was that individual questions were
generally not of interest for testing as the questionnaire had been
designed with groups of related questions and often an expectation of
observing certain interactions. P-values should therefore be interpreted
in relation to what the researcher expected (an informal Bayesian
approach) and patterns of p-values should be looked for. In particular,
since most student studies have small samples subject to biases of
accessibility, having a set of questions that showed non-significant
effects but all in the expected direction should *not* be reported simply
as "no significant effects were found". In practice, I observed that
effects were generally nowhere near significance or were highly
significant even for the small (generally about 100 cases) samples. I
attributed this to the influence of researchers' prior knowledge - ie they
were demonstrating effects they anticipated, not looking at random for
correlations.
It seems to me that statistics should more commonly be presented as used
in two contexts: (1) exploratory, where a set of data is examined for
pattern and a reasonable question is to ask how often one is being mislead
by chance coincidences, and (2) as a quality assurance technique for
measurements in the known presence of variation. Researchers too often
assume that ideas relevant to the latter (sample size, power) can be
arbitrarily applied to the former.
A final thought is to suggest that too many papers stop short at the
p-value. Authors should be coerced to take the next step and explain
*what* the (significant) effect is and *why* it is important. That would,
for example, put many claims of relative risk into clinical perspective.
**********************
Roger Newson:
The issue of multiple comparisons is a fast-moving field at this point in
the early 21st century, and there is no consensus regarding the best
approach, even amongst statisticians. However, I have written a paper on
the subject in The Stata Journal, summarizing other people's thoughts and
adding a few of my own, and have implemented a few multiple-test
procedures
in Stata (Newson, 2003). A preprint of this reference can be downloaded
from my website, where you can also download a presentation on the subject
that I gave at the 2003 UK Stata User Meeting.
********************
Tzippy:
The newest method is the Binyamini's and Hochberg's False Detection Rate
(FDR)
It controls the percentage of false significances in a scenario, rather
than
the alpha for each test.
Sas's Proc Multtest gives several options for multiple testing, that are
less conservative than Bonferroni.
*********************
Allan White:
I, too, am concerned about this. One glaring discrepancy has been
bothering
me for some time. If we conduct a one-way ANOVA which yields a significant
F value, we often follow it up with a Tukey test for all possible pairwise
comparisons. This gives p values which are adjusted to allow for the fact
that we are doing a number of tests, so that the experiment-wise p value
is at the desired level. That is fair enough. However, this is in marked
contrast to what is typically done when we do, say, a 4-way ANOVA, which
yields 15 effects (4 main effects, 6 2-way interactions, 4 3-way
interactions
and a 4-way interaction). The p values for each of these effects is NEVER
adjusted for the fact that we are looking at 15 effects, i.e. we are
giving
ourselves 15 chances of finding something significant!
However, in spite of the inconsistencies that we have noted, the problem
of multiple tests is real enough. In the example that I just quoted, the
chances of getting one of more 15 effects significant at a nominal 5 per
cent level is approximately 50:50. We really need to be far more rigorous
and consistent in dealing with this type of problem than we currently are.
Nevertheless, you do have a point about the legitimacy of "fishing
expeditions". If we are too rigorous in correcting p values for multiple
tests, then we run the risk of missing something which is really there.
One solution that occurs to me (but which I have never seen used in
practice)
is to split the data set in two on a random basis and to carry out the
same analysis on each half of the data. The chances are that only effects
that are really there will appear as significant in both analyses. Effects
that are significant in one half as a result of pure chance will only
rarely
be significant in the other half. Of course, there is a loss of power in
splitting your data in two in this way but, with a large dataset, this may
matter a lot less than the benefit gained.
**********************
Sue Richards:
I think the basic principle we work to is:
1. Pre-sepcify, before looking at the data, a limited set of 'primary'
analyses.
Hopefully these are not too many, and if clearly stated, then results can
be
viewed bearing in mind the multiplicity of tests.
2. All other analyses should be regarded as 'hypothesis generating' only.
In
papers, it should be made clear what tests are done, again so that
multiple
testing can be born in mind.
There remains the problem of over-interpretation by those who do not
understand the issue, and we all need to add 'health warnings'.
The most frequent problem is not what is reported, but the lack of detail
on
what has been done and NOT reported, meaing that we are unaware of the
multiple testing.
***********************
Blaise Egan:
I suggest you read this excellent discussion in the British Medical
Journal
http://bmj.bmjjournals.com/cgi/content/full/316/7139/1236?view=full&pmid=955
3006
**********************
Duncan Hedderly:
I probably worry about this less than I ought. You might find the
articles by Schulz & Grimes in the Lancet (2005, vol 365, pp1591-95 and
pp1657-61) interesting
=========================================================================
Date: Mon, 26 Sep 2005 14:10:57 +0200
Reply-To: "Berger Martijn (STAT)" <[log in to unmask]>
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From: "Berger Martijn (STAT)" <[log in to unmask]>
Subject: JOB: Assistent professor at University of Maastricht,
The Netherlands
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________________________________________________________________
Vacancy: Assistant professor Biostatistics/ Medical statistics
University of Maastricht, The Netherlands
________________________________________________________________
The University of Maastricht is the youngest university in the =
Netherlands and currently has about 12,000 students and more than 3,000 =
employees. The University has seven faculties, Arts & culture, Economics =
& Business and Administration, General Sciences, Health Sciences, Law, =
Medicine and Psychology. The University Maastricht also has =
international programs, like the University College Maastricht, which is =
a broad bachelor program.
The Department Methodology and Statistics of the University of =
Maastricht, The Netherlands, invites applications for an assistant =
professorship:
Assistant professor in Biostatistics/Medical Statistics (1.0 fte, f/m)
Tasks:
The Department Methodology and Statistics teaches elementary and =
advanced courses in statistical methods and research methods to =
Bachelor, Master and PhD. students in the Health Sciences, Medicine and =
Psychology. The research of the Department focuses on optimal design and =
analysis of longitudinal studies with random effect and multilevel =
models.
The assistant professor will be mainly responsible for education, =
research and consultation in the Faculty of Medicine.=20
Requirements:
We are looking for applicants who have a PhD. in Biostatistics or any =
other applied statistics field, such as biometrics, psychometrics with a =
research track in design or analysis of medical and health science =
studies and publications in international journals. We expect the =
candidate to be committed to excellent and innovative teaching. =
Applications from women and minorities are encouraged.
Salary:
We offer in principle a full time tenured position (universitair docent =
2=94 position UFO profile), with a review after two years. Salary =
amounts to a maximum =88 4605, salary scale 12.
Information and application:
Information can be obtained from Prof. dr. Martijn P.F. Berger, Chair of =
the Department Methodology and Statistics, Maastricht University, P.O. =
Box 616, 6200 MD Maastricht, The Netherlands. E-mail: =
[log in to unmask]
Please send your application with CV to Prof. dr. Martijn P.F. Berger, =
Department Methodology and Statistics, Maastricht University, P.O. Box =
616, 6200 MD Maastricht, The Netherlands.
Applications close October 30th, 2004
=========================================================================
Date: Mon, 26 Sep 2005 15:10:24 +0100
Reply-To: Morven Leese <[log in to unmask]>
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From: Morven Leese <[log in to unmask]>
Subject: JOB: Institute of Psychiatry London
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The following job advertisement will shortly be appearing in the Guardian.
Anyone interested is invited to contact me for further information on the
email address below.
-----------------------------------------
Medical Statistician / Data Manager
Health Services Research Department, Institute of Psychiatry
Duties will include managing and analysing data sets, providing advice to
colleagues on statistical methods and data management, helping to run short
courses and assisting with the preparation of bids for funding and writing
articles for publication.
Required qualifications are a postgraduate degree in medical statistics or
equivalent and knowledge of SPSS. Knowledge of Stata and previous work
experience are preferable but not essential. The post would suit someone
recently qualified at postgraduate level who would like to gain a wide range
of experience. Training would be available where necessary and the
postholder would be encouraged to take on complete projects over time as
part of their career development.
The post is full time for an initial period of 2 years, with the possibility
of extension, commencing as soon as possible. The salary will be on the RA1B
scale (=A321,783- =A323,963 pa, inclusive of =A32,323 pa London Allowance).
For further information please send an SAE quoting ref number 05/R25 to the
Personnel Office, Institute of Psychiatry, De Crespigny Park, London SE5
8AF, or e-mail [log in to unmask] Applications, in the form of a CV
with the names of two referees, should be sent to the same address. Closing
date for applications is 18 October 2005. Interviews will be held in
October.
Only candidates shortlisted for interview will be contacted.
Equality of opportunity is College policy
--------------------------------------------
Morven Leese
Statistician
PO29,Health Services Research Department
The David Goldberg Centre
Institute of Psychiatry
De Crespigny Park
Denmark Hill
London SE5 8AF
Tel: +44 (0) 20 7848 0710
Fax: +44 (0) 20 7277 1462
[log in to unmask]
www.iop.kcl.ac.uk
Please use the box number when writing
=========================================================================
Date: Mon, 26 Sep 2005 11:35:17 -0400
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From: Jose Pinheiro <[log in to unmask]>
Subject: Announcement: ASA Stat. Computing and Stat. Graphics 2006 Student
Paper competition
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The Statistical Computing and Statistical Graphics Sections of the ASA
are co-sponsoring a student paper competition on the topics of
Statistical Computing and Statistical Graphics. Students are
encouraged to submit a paper in one of these areas, which might be
original methodological research, some novel computing or graphical
application in statistics, or any other suitable contribution (for
example, a software-related project). The selected winners will
present their papers in a topic-contributed session at the 2006 Joint
Statistical Meetings. The Sections will pay registration fees for the
winners as well as a substantial allowance for transportation to the
meetings and lodging. Enclosed below is the full text of the award=20
announcement.
More details can be found at the Stat. Computing Section website at
http://www.statcomputing.org.=20
Best Regards,
--Jos=E9 Pinheiro
Awards Chair
ASA Statistical Computing Section
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Stati=
stical Computing and Statistical Graphics Sections
American Statistical Association
Student Paper Competition 2006
The Statistical Computing and Statistical Graphics Sections of the ASA
are co-sponsoring a student paper competition on the topics of
Statistical Computing and Statistical Graphics. Students are
encouraged to submit a paper in one of these areas, which might be
original methodological research, some novel computing or graphical
application in statistics, or any other suitable contribution (for
example, a software-related project). The selected winners will
present their papers in a topic-contributed session at the 2006 Joint
Statistical Meetings. The Sections will pay registration fees for the
winners as well as a substantial allowance for transportation to the
meetings and lodging (which in most cases covers these expenses
completely).
Anyone who is a student (graduate or undergraduate) on or after
September 1, 2005 is eligible to participate. An entry must include
an abstract, a six page manuscript (including figures, tables and
references), a C.V., and a letter from a faculty member familiar with
the student's work. The applicant must be the first author of the
paper. The faculty letter must include a verification of the
applicant's student status and, in the case of joint authorship,
should indicate what fraction of the contribution is attributable to
the applicant. We prefer that electronic submissions of papers be in
Postscript or PDF. All materials must be in English.
All application materials MUST BE RECEIVED by 5:00 PM EST, Monday,
December 19, 2005 at the address below. They will be reviewed by the
Student Paper Competition Award committee of the Statistical Computing
and Graphics Sections. The selection criteria used by the committee
will include innovation and significance of the contribution. Award
announcements will be made in late January, 2006.
Additional important information on the competition can be accessed on
the website of the Statistical Computing Section,
www.statcomputing.org. A current pointer to the website is available
from the ASA website at www.amstat.org. Inquiries and application
materials should be emailed or mailed to:
Student Paper Competition
c/o Dr. Jos=E9 Pinheiro=20
Biostatistics, Novartis Pharmaceuticals=20
One Health Plaza, Room 419/2115=20
East Hanover, NJ 07936
[log in to unmask]
=========================================================================
Date: Mon, 26 Sep 2005 16:55:38 +0100
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From: Michael Griffiths <[log in to unmask]>
Subject: Interesting Poisson question
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Dear AllStat,
If we take the Poisson ~ and calculate the maximum likelihood estimate for =
lamdba as xbar, if we now wish to estimate for lambda, taking into account =
that Var(X) =3D lambda, another unbiased estimate. Does anyone have any =
idea what that estimate might look like?
Thanks in advance as always
Mike Griffiths
=20
Michael Griffiths, Ph.D.
Chemometrician
Training, Quality and Statistics Group
LGC Limited
Queens Road
Teddington
Middlesex, TW11 0LY, UK
Tel: +44 (0)20 8943 7352
Fax: +44 (0)20 8943 2767
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Date: Mon, 26 Sep 2005 18:08:43 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: VACANCY : Biostatistics - Team Leader
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Biostatistics - Team Leader
=20
Salary: GBP 50k=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: United Kingdom - South=20
=20
Background:=20
=20
Perform a project management and supervisory function within the
biostatistics department. Oversee the statistical and programming
aspects of clinical trials from design, through analysis and reporting,
acting as the lead on multiple projects. Supervise a team of
statisticians and/or statistical programmers, organising workload across
the team and report project status to management. To represent the
Biostatistics department within the company and with interactions with
client companies and regulatory agencies.=20
=20
Qualifications:=20
=20
Strong knowledge of statistical principles and strong statistical
skills; or knowledge of statistical principles and strong relevant SAS
programming skills. SAS programming skills and understanding of database
structures. Good organisational skills across multiple projects,
managing own and team workloads. The ability to adapt and adjust to
changing priorities. Excellent written and verbal communication skills.
Confident and competent in representing department/company to
internal/external clients. Ability to work in a multi-disciplinary team
setting. Demonstrated initiative, motivation and problem solving skills.
Positive attitude and the ability to organise a team, work well with
others. Evidence of strong supervisory and mentoring skills, as shown
through leadership of multiple projects and team members.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-2038'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
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=20
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the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
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=========================================================================
Date: Mon, 26 Sep 2005 18:09:53 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: VACANCY: Biometry Manager
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Biometry Manager
=20
Salary: 80k euros=20
=20
Business Type: Medical Devices Company=20
=20
Position type: Permanent=20
Location: Belgium=20
=20
Background:=20
=20
Provide regional focus and leadership to CRM departments, specifically
the various clinical functions regarding their clinical information
technology infrastructure and application needs. Responsibly for
managing the design, development, modification and evaluation of a
technical infrastructure to expedite the operation and evaluation of
clinical trials. Manages the design and monitors the statistical
analysis and develops tracking systems to determine the efficiency of
clinical trials. Manages the evaluation and design of clinical data
statistics. The incumbent serves a business partner to the US CRM
clinical department/various functions anticipating system and
application needs and develops the strategies for deployment. Manages
and develops the human resources within the assigned areas. Manages a
team of employees and contractors and has responsibility for performance
and development of employees.=20
=20
Qualifications:=20
=20
Bachelor's degree in a related field. Experience within clinical IT and
data systems. Broad business knowledge and experience. Broad knowledge
of systems and/or applications development technologies. Strong
knowledge of multiple technologies. 6-9 years of experience in the
development and support of business systems and /or applications. Broad
business experience. 3-5 years of project leadership experience. 3-5
years management experience. Demonstrated leadership skills. Solid
influence management. Strong decision making abilities. Excellent
problem solving skills. Skilled at developing policy and strategy.
Strong communication skills. Fluent in English.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the
reference'grv-3957'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
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=========================================================================
Date: Mon, 26 Sep 2005 16:42:26 -0400
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Rossi Hassad <[log in to unmask]>
Subject: LAST CHANCE TO PARTICIPATE - Teaching Statistics in the Health &
Behavioral Sciences
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Dear Colleagues:
Please assist me with this survey, which is aimed at developing an instrument to measure instructors? attitudes toward the teaching of introductory statistics in the health and behavioral sciences (undergraduate level). The instrument is available at: www.courtpoint.com/survey, and the average completion time is 7(seven) minutes.
In addition to contributing to the development of the teaching of introductory statistics, your participation (FULLY COMPLETED QUESTIONNAIRE) will give you a chance to win one of three $100 (one hundred dollar) cash awards which may be used toward professional development.
A big thank you to all those who have participated, and my regrets if you have received multiple notices about this survey. Please circulate to your colleagues, and encourage them to participate. I am counting on your support.
Sincerely,
Rossi A. Hassad, MPH, PhD
Assistant Professor, Division of Behavioral Sciences,
Mercy College, New York
=========================================================================
Date: Tue, 27 Sep 2005 11:02:32 +0300
Reply-To: Cristian Gatu <[log in to unmask]>
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From: Cristian Gatu <[log in to unmask]>
Organization: University of Neuchatel
Subject: Computational Statistics and Data Analysis
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3rd IASC world conference on
Computational Statistics & Data Analysis
Amathus Beach Hotel, Limassol, Cyprus, 28-31 October, 2005
URL: http://www.csdassn.org/europe/csda2005/
CALL FOR PARTICIPATION.
The programme of the 3rd IASC world conference on
Computational Statistics & Data Analysis is available.
There are 400+ presentations and approximately 500 participants.
Further details can be found at the conference's web site.
Cristian Gatu,
Local Organizing Committee, IASC-CSDA Conference
=========================================================================
Date: Tue, 27 Sep 2005 10:27:49 +0100
Reply-To: Peter Diggle <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Diggle <[log in to unmask]>
Subject: Research Assistant Post at Lancaster
LANCASTER UNIVERSITY
DEPARTMENT OF MATHEMATICS AND STATISTICS
RESEARCH ASSOCIATE IN STATISTICAL BIOINFORMATICS
This position is to contribute to a collaborative research project between
the Lancaster Statistics Group and the School of Biological Sciences at
Liverpool University. The appointee will be supervised by Prof. Peter Diggle
(Lancaster), but will also maintain regular contact with the project leader,
Dr Steve Paterson (Liverpool).
THE DEPARTMENT. The Lancaster Statistics Group is one of the strongest and
largest in the UK (RAE Grade 6*) with an emphasis on the development and
application of methodology motivated by substantive applications, and
particular strengths in spatial and longitudinal statistics, statistical
genetics and computationally intensive statistical methods. The group
includes about 30 research students and research associates (see
http://www.maths.lancs.ac.uk).
THE RESEARCH PROGRAMME. The overall aim of the research is to further our
understanding of the ecological and evolutionary consequences of nematode
infections of vertebrates. Lancaster is providing statistical input both to
the design of biological experiments and in the analysis of the resulting data.
The primary focus of the post-holder will be to apply cutting-edge
statistical methods to analyse gene expression microarray data arising from
experiments conducted by Dr Paterson and colleagues. The appointee will also
be encouraged to develop their research ideas in statistial bioinformatics
alongside the more applied aspects of the project.
The position is available for a two-year period, with start-date negotiable
on or after April 2006.
THE APPLICANT. Applicants should have a higher degree in statistics, a
commitment to collaborative research and either a track-record or clear
potential for research in statistics. Previous experience of analysing gene
expression data, and background knowledge of statistical genetics, would be
useful but are not essential.
SALARY. The appointment will be made on the RA1A scale, currently 20,044 to
30,002 pounds per year. Initial salary will depend on the age and experience
of the appointee.
APPLICATION PROCEDURE. To apply or receive further information online,
please visit the web-site http://www.lancs.ac.uk/depts/personnel/jobs
Alternatively, telephone Personnel Services, quoting reference A553,on
answer-phone 01524 846549. Informal inquiries can be made to ProfPeter
Diggle ([log in to unmask]).
CLOSING DATE. Friday 28 October
=========================================================================
Date: Tue, 27 Sep 2005 11:44:44 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Senior Analyst (Data Analysis),
National Patient Safety Agency
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Apologies for any cross posting
>
>The National Patient Safety Agency is a Special Health Authority that=20
>oversees many aspects of patient safety from the design of hospitals to=20
>the performance of individual staff. We aim to promote an open and fair=20
>culture in the NHS, encouraging all healthcare staff to report incidents=20
>without undue fear of personal reprimand. Where mistakes are made or=20
>problems arise, we initiate preventative methods so that patient safety is=
=20
>continually improved.
>
>We have established a Department of Epidemiology and Research, led by=20
>Professor Richard Thomson, which includes a statistics team and a Patient=
=20
>Safety Observatory.
>
>Senior Analyst (Data Analysis)
>=A326,793 - =A335,575 p.a. inc. London Ref: 908-130
>
>Your key responsibility will be to identify patterns and trends in NPSA=20
>data of patient safety incidents. You will also provide high quality input=
=20
>into the public reports on data sources including the National Reporting=20
>and Learning System, and produce reports summarising analyses performed.=20
>This will include contributing to the Patient Safety Observatory - for the=
=20
>surveillance and monitoring of patient safety incidents.
>
>Liaising closely with clinical and research colleagues will call for=20
>first-rate communication and presentation skills, both written and oral.=20
>You must be able to work flexibly, on your own initiative, and often to=20
>tight deadlines in a politically sensitive environment. Together with a=20
>degree or equivalent in a numeric or social science discipline, you should=
=20
>have a relevant postgraduate qualification and at least three years=92=20
>experience working with large datasets and a wide range of data sources.
>
>For further details and to apply, please visit our website:=20
><http://www.npsa.nhs.uk/>www.npsa.nhs.uk
>
>For further queries, please contact Human Resources on 020 7927 9328 or=20
>email: <mailto:[log in to unmask]>[log in to unmask] Closing date:=20
>13th October 2005.
>
>
>
>Professor Richard Thomson
>Director of Epidemiology and Research
>National Patient Safety Agency
>4-8 Maple Street
>London
>W1T 5HD
>Tel +44 (0) 207 927 9359
>Fax +44 (0) 207 927 9501
>
>www.npsa.nhs.uk
>
=========================================================================
Date: Tue, 27 Sep 2005 11:52:39 +0100
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Introduction to Excel VBA
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Course: Introduction to Excel VBA
Duration: 2 days
Venue: London
Dates: 10th and 11th November 2005
Cost: 495 pounds plus VAT per delegate
Bookings are now being taken for the above course.
This course is aimed at current users of Excel who wish to learn how to
automate repetitive spreadsheet tasks using Visual Basic for
Applications (VBA), in order to save vast amounts of time and
consequently save money. Delegates need no prior programming knowledge
to benefit from the course and by the end of the course should be able
to build customised tools and applications within Excel. The course is
extremely hands-on and interactive, and delegates learn by doing. The
last part of the course is dedicated to project work, where the
delegates can utilise the skills developed over the course in
work-related applications.
Statisticians, data analysts and other specialists from wide-ranging
organisations (such as universities, technology and pharmaceutical
companies, schools, local / central government and financial
institutions to name but a few) have already benefited from attending
previous deliveries of the course and are now applying the skills learnt
on the course in their own workplaces. Testimonials from former
delegates can be provided if required.
To book a place (or places) on the course, or for further information,
please do not hesitate to contact me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Tue, 27 Sep 2005 13:39:08 +0100
Reply-To: Oarabile Molaodi <[log in to unmask]>
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<[log in to unmask]>
From: Oarabile Molaodi <[log in to unmask]>
Subject: Producing bayesian empirical estimates
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I'm doing disease mapping and I'm trying to produce the epirical bayes
estimates based on the lognormal model. Is there a way this can be done
in R or any other software?
thanks
Oarabile
=========================================================================
Date: Tue, 27 Sep 2005 15:05:39 +0200
Reply-To: Goran Granath <[log in to unmask]>
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<[log in to unmask]>
From: Goran Granath <[log in to unmask]>
Subject: Fwd: Problems in clinical trial
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Hi,
I recieved a few answers to my question about clinical trials:
From Phil Mc Shane:
I think you have to treat that as an endpoint, not a dropout.
What is this wonderful surgical treatment anyway?
From Dave Andrae:
You may check into the oncology literature. New oncology treatments,
sugical, chemotherapy, or other, tend to plan around the issue you are
seeing. That is, that denial of the new therapy is avoided by designing
a single-arm study and comparing results against historical controls.
These types of studies, however, are typically used to plan for large
randomized double-blind or placebo controlled trials (ie, Phase III
type).
A lot will depend on where the research program is in its development
and the overall goals of the current trial.
From Sue Richards:
If the method is new and there is a lack of information on its=
effectiveness,
although it might theoretically be better, then it would be ethical to deny
surgery. If the trial is ethical, then it must be true that there is doubt=
=20
about
whether surgery is better. If this was a new drug, rather than a procedure,=
it
would not be allowed to be used until tested. However, if the politics does=
=20
not
allow the withholding of surgery, then the only option might be to think of=
=20
the
trial as a comparison of 'early' versus 'delayed' surgery. Whether this is=
=20
worth
doing will depend on the details of your particular trial.
From Vicky Ryan:
I am about to embark on a similar trial where standard tmt is compared with=
=20
a prophylactic antibiotic which has no down sides and hence we may have=20
similar problems - we may not even get patients in the trial with proper=20
informed consent!
--------------
Thak you all! I will now sort this out together with the medical staff.=20
About the surgical method which Phil was interested in: - I have to=20
ask, and come back to you.
Yours sincerely
G=F6ran Granath
My original question:
>Date: Mon, 12 Sep 2005 21:01:28 +0200
>To: [log in to unmask]
>From: Goran Granath <[log in to unmask]>
>Subject: Problems in clinical trial
>
>Dear all,
>
>We have a considerable problem with dropouts, if you can call them so. - A=
=20
>clinical trial is being conducted where one half is treated in the=20
>traditional way with medication and the the other half is treated by a new=
=20
>surgical method. Apparently the new, surgical, method is very popular=20
>among the patients as, after half time, almost 50% wanted to stop=20
>medication and get surgery instead. The problem is that the medication=20
>group becomes far too small but for ethical reasons it seems difficult to=
=20
>deny surgery.
>Anybody experienced something like this before?
>
>Thank you in advance
>
>G=F6ran Granath
>
>Goran 'Joe' Granath, PhD Phone: +46-18-30 16 67
>Ariadne Exploration AB E-mail: [log in to unmask]
>Malma Ringv=E4g 1
>S-756 45 Uppsala
>Sweden
Goran 'Joe' Granath, PhD Phone: +46-18-30 16 67
Ariadne Exploration AB E-mail: [log in to unmask]
Malma Ringv=E4g 1
S-756 45 Uppsala
Sweden=20
=========================================================================
Date: Tue, 27 Sep 2005 14:13:11 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
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<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Statistical Epidemiologist-South East
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Dear=20Allstaters,
My=20client=20is=20actively=20looking=20for=20a=20Statistical=20Epidemiolo=
gist=20to
support=20their=20clinical=20team.=20=20The=20role=20will=20work=20across=20=
the=20group=20on
multiple=20projects.=20=20The=20first=20major=20project=20will=20involve=20=
data=20analysis
and=20statistical=20support=20for=20a=20large=20medical=20data=20warehouse=
=20for=20national
and=20International=20data=20that=20is=20to=20be=20built.=20=20In=20the=20=
first=20instance=20you
will=20be=20analyzing=20existing=20data=20to=20make=20recommendations=20on=
=20suitability,
quality=20and=20value=20to=20the=20healthcare=20sector.=20=20You=20will=20=
be=20guiding=20both
technical=20and=20marketing=20teams=20as=20well=20as=20working=20with=20in=
dividual
healthcare=20clients.=20
You=20will=20also=20be=20required=20to=20assist=20in=20study=20design=20an=
d=20data=20analysis
for=20outcome=20management,=20compliance=20and=20disease=20management=20pr=
ogrammes.=20
Particular=20duties=20and=20responsibilities=20will=20include:=20
1.=09Working=20on=20existing=20large=20data=20sets=20to=20address=20questi=
ons=20of
quality,=20validity=20and=20value=20to=20healthcare=20organisations;=20
2.=09Advising=20on=20study=20design=20and=20data=20analysis=20for=20curren=
t=20and
research=20studies=20within=20Outcome=20Technologies,=20including=20observ=
ational
studies,=20outcome=20programmes,=20and=20potentially=20randomised=20contro=
lled
trials;=20
3.=09Identify=20opportunities=20to=20write=20research=20papers=20in=20coll=
aboration
with=20internal=20staff=20and=20external=20academic=20units.=20
You=20will=20be=20the=20lead=20statistical=20resource=20within=20the=20org=
anisation,
working=20with=20doctors,=20project=20managers=20and=20technical=20resourc=
es.
Qualifications
Applicants=20must=20have=20formal=20training=20in=20statistics=20and=20epi=
demiology.
Experience=20working=20on=20large=20healthcare=20databases=20is=20essentia=
l.=20=20The
ability=20to=20write=20clearly=20and=20elegantly=20are=20important.=20=20E=
xcellent
communication=20and=20organisational=20skills=20and=20the=20ability=20to=20=
work
effectively=20in=20a=20team=20are=20essential=20qualities=20required=20of=20=
applicants.=20
If=20you=20are=20interested=20in=20hearing=20more=20about=20this=20role=20=
please=20contact=20me
directly=20to=20discuss=20your=20application.
James=20Harvard=20is=20a=20specialist=20recruitment=20agency=20dedicated=20=
to=20the
pharmaceutical=20industry
=20
=20
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Tue, 27 Sep 2005 14:53:29 +0100
Reply-To: "Mead, Andrew" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Mead, Andrew" <[log in to unmask]>
Subject: MEETING: Post-Genomics - Proteomics and Metabolomics: November 23
rd, Cambridge
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International Biometric Society, British Region
Annual General Meeting and 209th Ordinary Meeting
Post-Genomics : Proteomics and Metabolomics
Wednesday 23rd November 2005, 11am - 5pm
Wellcome Trust Conference Centre, Hinxton, Cambridge
Full details of this meeting are now available at:
http://www.maths.qmw.ac.uk/~rab/biometrics/postgen.html
The programme includes:
The Robot Scientist Project
Ross King (The University of Wales, Aberystwyth)
Statistical Methods in Metabolomics
Maria de Iorio (Imperial College, London)
Mathematical models as tools to probe interaction networks
Nick Monk (University of Sheffield)
Metabonomics: the challenge of modelling metabolic interactions,
processes and diseases in comples systems
Elaine Holmes (Imperial College, London)
Detecting genotype changes in yeast, tumours and mice using
NMR-based metabolomics
Kevin Brindle (University of Cambridge)
Systems biology for parasites: metabolic networks and pathway
expression
David Westhead (University of Leeds)
Abstracts for all papers are available at the above web address.
Advance registration for this meeting is essential. Registration costs =
=A330
for members of the International Biometric society and =A345 for =
non-members.
Registration includes coffee, a 2-course buffet lunch and tea.
Registration forms, which need to be received together with payment by
November 7th, are available at:
http://www.maths.qmw.ac.uk/~rab/biometrics/reg1105.pdf
Andrew Mead, M.Sc., CStat
International Biometric Society, British Region Secretary
International Biometric Society, Council Member
International Biometric Society, Co-Chair, Strategic Plan Committee
Warwick HRI
University of Warwick
Wellesbourne
Warwick
CV35 9EF
email: [log in to unmask]
phone: 024 7657 5020
fax: 024 7657 4500
=========================================================================
Date: Tue, 27 Sep 2005 16:23:54 +0100
Reply-To: "Shaw, Karsten" <[log in to unmask]>
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<[log in to unmask]>
From: "Shaw, Karsten" <[log in to unmask]>
Subject: Z or t tests on indexed data
MIME-Version: 1.0
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Dear allstat,
I am trying to test for evidence of a statistically significant difference
between two indexed numbers.
It is further complicated by the fact that the nominator of the index is
also a function of the denominator.
More exactly, the index is awareness of a product divided by the average
awareness of all similar products. Is it possible to test for a
statistically significant change in this value, if it were measured
repeatedly across time? If so, how?
Many thanks in advance,
Karsten
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=========================================================================
Date: Tue, 27 Sep 2005 16:48:05 +0100
Reply-To: David Cairns <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Cairns <[log in to unmask]>
Subject: JOB: Post Doc in Genetic Epidemiology, Leeds, UK
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PLEASE DIRECT ENQUIRIES TO CONTACTS IN MAIN BODY OF
MESSAGE.
The Univeristy of Leeds
Cancer Research UK Clinical Centre
St James=92s University Hospital
Post Doctoral Research Fellow in Genetic Epidemiology
Applications are sought for the post of Post Doctoral Research Fellow
in the Melanoma Group of the Genetic Epidemiology Division of the
CR-UK Clinical Centre at Leeds, to develop risk algorithms for
melanoma. This post is funded by a Network of Excellence (NoE)
grant, from the European Commission. The grant was obtained by the
Melanoma Genetics Consortium, GenoMEL (see www.genomel.org) to
provide administrative support for the consortium and fund a series of
research projects. The NoE will be funded from Dec 1st and this post
will be available from this date for three years.
The project on which you will work is suitable for someone with a
strong quantitative background such as a PhD in statistics or
epidemiology. The aim of the project is to use in-house and published
data to estimate the risk of melanoma associated with genetic,
phenotypic and environmental risk factors and to design a risk
algorithm for melanoma which can be translated into a web-based tool
for risk prediction for the use of clinicians and the general public.
Research 1A (=A319,460 - =A329,128 p.a.)
The University is introducing a new reward framework which will
facilitate the recruitment, retention and motivation of world class staff.
Informal enquiries to Professor Julia Newton-Bishop, tel: 0113 206
4668, email: [log in to unmask] or Professor Tim Bishop
on 0113 206 4573 or [log in to unmask]
To apply online visit www.leeds.ac.uk and click on =91jobs=92. Applicatio=
n
packs from Mrs Sharon Collins, tel 0113 206 6949, email
[log in to unmask]
Job ref 317011 Closing date 21 October 2005
=========================================================================
Date: Tue, 27 Sep 2005 20:15:31 +0100
Reply-To: Fen Scott <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Data Analysis using Excel PivotTable Reports
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Course: Data Analysis using Excel PivotTable Reports
Duration: 1 Day
Venues and Dates: London (15 Nov), Birmingham (24 Nov), Newcastle
upon Tyne (1 Dec) and London (8 Dec)
Cost: 275 pounds plus VAT per delegate
Bookings are now being taken for the above course.
This one day course is aimed at current users of Excel who wish to learn
how to utilise one of the most powerful yet user-friendly tools within
Excel in order to analyse data, namely PivotTable reporting.
PivotTable reports are interactive tables which summarise large amounts
of data very quickly into tabular reports, the structure of which is
defined by the user. Once created, PivotTable reports are extremely easy
to modify and format.
This course is designed to take the delegate from the basics of
PivotTable report creation through to more advanced topics. No previous
knowledge of PivotTable reporting is assumed and by the end of the
course, the delegate should be confident in building standard and
customised PivotTable reports. The course is very hands on and
interactive. The delegate works through a number of set tasks and
exercises related to each specific topic. The atmosphere during the
course is relaxed and friendly.
This is what some of the previous delegates on the course have said:
"Excellent presentation...exactly what we need to move forward with
tracking out data".
"The course was excellent, the tutor was approachable and very patient".
"Excellent course, extremely useful and very well delivered".
"I'm absolutely amazed that I'd never heard of PivotTables as they are
so useful".
"Very informative and I feel like I've learnt a lot".
"Fabulous, thank you".
To book a place (or places) on the course, or for further information,
please do not hesitate to contact me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original. Any other use of the
email by you is prohibited.
=========================================================================
Date: Tue, 27 Sep 2005 20:17:33 +0100
Reply-To: Fen Scott <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Introduction to Excel VBA
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Course: Introduction to Excel VBA
Duration: 2 days
Venue: Newcastle upon Tyne
Date: 17/18 November
Cost: 495 pounds plus VAT per delegate
Bookings are now being taken for the above course.
This course is aimed at current users of Excel who wish to learn how to
automate repetitive spreadsheet tasks using Visual Basic for
Applications (VBA), in order to save vast amounts of time and
consequently save money. Delegates need no prior programming knowledge
to benefit from the course and by the end of the course should be able
to build customised tools and applications within Excel. The course is
extremely hands-on and interactive, and delegates learn by doing. The
last part of the course is dedicated to project work, where the
delegates can utilise the skills developed over the course in
work-related applications.
Statisticians, data analysts and other specialists from wide-ranging
organisations (such as universities, technology and pharmaceutical
companies, schools, local / central government and financial
institutions to name but a few) have already benefited from attending
previous deliveries of the course and are now applying the skills learnt
on the course in their own workplaces. Testimonials from former
delegates can be provided if required.
To book a place (or places) on the course, or for further information,
please do not hesitate to contact me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Tue, 27 Sep 2005 20:23:03 +0100
Reply-To: Fen Scott <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Charting Data with Excel PivotChart Reports
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Course: Charting Data with Excel PivotChart Reports
Duration: 1 Day
Venues and Dates: London (16 Nov), Birmingham (25 Nov), Newcastle
upon Tyne (2 Dec) and London (9 Dec)
Cost: 275 pounds plus VAT per delegate
Bookings are now being taken for the above course.
This new course is aimed at Excel users who are familiar with and
confident in creating PivotTable Reports and who wish to learn how to
create PivotChart Reports in Excel.
PivotChart reports are interactive charts which summarise large amounts
of data very quickly into graphical reports, the structure of which is
defined by the user. Once created, PivotChart reports are extremely easy
to modify and format.
This course is designed to take the delegate from the basics of
PivotChart report creation through to more advanced topics. No previous
knowledge of PivotChart reporting is assumed, though a working knowledge
of PivotTable reporting is a prerequisite for attendance on the course.
By the end of the course, the delegate should be confident in building
standard and customised PivotChart reports. The course is very hands on
and interactive. The delegate works through a number of set tasks and
exercises related to each specific topic. The atmosphere during the
course is relaxed and friendly.
To book a place (or places) on the course, or for further information,
please do not hesitate to contact me.
Best wishes,
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Statistical Consultant
IntrepiData
0191 478 2671
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Date: Tue, 27 Sep 2005 20:41:17 +0100
Reply-To: Steve Ferris <[log in to unmask]>
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From: Steve Ferris <[log in to unmask]>
Subject: JOB: Statistician in Market Research - South Oxfordshire
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Statistician in Market Research
The MMR Group is a dynamic and highly successful full service market
research company specialising in conducting consumer and sensory
research on behalf of some of the world's leading blue chip companies.
The group consists of mmr research worldwide Ltd (which also includes a
US office), Healthcare Research Worldwide Ltd, Qubiq-online and UKFS
Ltd. (UK fieldwork company). The group currently employs over 60 staff,
4 of whom are statisticians and has a combined turnover of approximately
GBP 10M.
Due to our growing success, we are seeking to increase the resources of
our Data Analysis department with the employment of a statistician.
As a statistician across the MMR group you would be fully involved with
project work from the inception of the project to its completion. The
work is extremely varied and challenging providing the opportunity to
use and develop a wide range of statistical and mathematical tools. You
will work closely with the research team and will also have the
opportunity to deliver study results to our clients. Good communication
skills are therefore essential.
You will have an MSc in Statistics/Biometry or a BSc with a minimum of
75% statistics and 2-3 years work experience in a statistical
discipline. You will have experience of a variety of statistical
techniques, preferably including multivariate analysis, experimental
design and statistical modelling. You will also be highly computer
literate with skills in Excel and statistical software (ideally SAS).
We offer a competitive salary and excellent benefits package as well as
the opportunity for exciting career progression.
For further information about the post or the Company please contact (in
the first instance) the Head of Statistics, Steve Ferris, tel : 01491
822506, email : [log in to unmask]
To apply please send your CV and covering letter by post to Julie
Woodward, MMR Research Worldwide, Wallingford House, High Street,
Wallingford, OX10 0DB, or by email to [log in to unmask]
Steve Ferris
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t: + 44 (0) 1491 824999
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Date: Tue, 27 Sep 2005 15:29:25 -0700
Reply-To: richard bowyer <[log in to unmask]>
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From: richard bowyer <[log in to unmask]>
Subject: Query: correlation of function of 2 rvs
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Hi All,
If I have 2 random variables X and Y, it there an expression for corr( Y/X,
X) or corr( Y/X, Y)?
where Y/X is the ratio
Many thanks
Regards,
Richard
=========================================================================
Date: Wed, 28 Sep 2005 09:02:01 +0100
Reply-To: Robert Newcombe <[log in to unmask]>
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From: Robert Newcombe <[log in to unmask]>
Subject: Re: equilateral triangle to display trinomial
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In response to Peter Das's request to summarise to the list, I got 13 replies in
total.
Most pointed to Aitchison, either The statistical analysis of compositional
data, JRSS B, 44, p139 or "The Statistical Analysis of Compositional Data",
Chapman and Hall, 1986. I dug out the JRSS B article, which relates to
proportional composition when variables are continuous (with examples of
geology), which wasn't what I needed.
For my purposes, the most helpful observation was by Tim Cole
<[log in to unmask]>:
Anthony Edwards talked about this in his book "Likelihood" (CUP 1972). On page
140 there is such a triangle with a confidence interval ellipse for the
frequencies p, q and r of the A, B and O blood group genes.
Other responses:
I have just finished reading one of our Master's student's disserattaion who
uses this method. He cites Vacher, Journal of Geoscience 53(3) 324-333. He has
also written a SAS macro to make these plots that I expect he would be happy to
let you have access to. I am copying this to him.
David Ramsay & Gillian Raab <[log in to unmask]>
Soil studies use triangular graphs for the proportions of clay, silt & sand,
see:
http://www.teachingkate.org/dirt.htm
While doing a web search for this I found a reference to the following which
must be applying a similar technique to socio-demographic data: DORLING, D.,
Johnston, R.J. and Pattie, C.J. (1996), Representing, exploring and analysing
electoral change using triangular graphs, Environment and Planning A, 28,
979-998. I'd be interested to find (free!) software for these graphs as I
would like to plot tenure
for areas by owner occupiers, public & private renters.
<[log in to unmask]>
It's called various things - 'ternary diagram' 'triangular diagram' etc. There
is a STATA ado file to draw them created by Nicolas Cox at Durham (not the
confidence region)
Denise Howel <[log in to unmask]>
There were a couple of references in the ASA magazine "Chance". Wainer, H.
(1995), 8,1,48-54 and Allen, T. (2002), 15,3, 29-35. I believe you can now
access at least some of the papers online. Perhaps you might find what you're
looking for in the references listed there.
<[log in to unmask]>
According to Michael Friendly, this can be traced to the 13th century. Nothing
much then seems to have happened until the m 19th century, when Moebius picked
up the idea. LLull, R. (1274-1283). Artifitium electionis personarum. Biblioteca
Apostolica Vaticana, Cod. Vat. lat. 9332, f. 11r-12v. There are many accessible
references using names such as trilinear plots. There is a rich vein of
literature in the journal
_Mathematical Geology_. Closer to you, they are often used in genetics.
Nick Cox <[log in to unmask]>
David Clayton, almost certainly in Applied Statistics. Have been used to plot %
of votes for 3 party elections.
<[log in to unmask]>
----------------------------------------------------------------------------
Robert G. Newcombe PhD CStat FFPH
Professor of Medical Statistics
Wales College of Medicine
Cardiff University
Heath Park
Cardiff CF14 4XN
Phone 029 2074 2329
Fax 029 2074 2898
http://www.cardiff.ac.uk/medicine/epidemiology_statistics/research/statistics/newcombe.htm
>>> P Das <[log in to unmask]> 27/09/05 21:02:46 >>>
I first saw this representation of a trinomial used in geology
(description of composition of petroleum from different sources) in a
Dutch-language book "De methodes der graphische voorstelling" [Methods
of Graphical Representation] by B.G. Escher, 1934.
I used it in presenting statistical results, often to the bewilderment
of outsiders. So I switched back to just plotting p1 and p2 on
rectangular axes, which is difficult enough to grasp for many.
The confidence region is new for me. Can't think how this could be
elliptical. I would expect it to be symmetrical in p1, p2 and p3. (That
is not necessarily circular.)
Please summarize to the list or to me!
My original query 26/9/2005:
> I vaguely recall seeing some reference to the use of an equilateral
> triangle as
> a geometrcal representation for any three proportions p1, p2 and p3
> adding to 1,
> and perhaps also a vaguely (won't be exactly) elliptical confidence
> region for
> the point representing (p1, p2, p3). Could someone please send me the
> reference
> for this?
=========================================================================
Date: Wed, 28 Sep 2005 10:06:55 +0100
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Subject: ANNOUNCE: CAMBRIDGE STATISTICS DISCUSSION GROUP reminder
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CAMBRIDGE STATISTICS DISCUSSION GROUP MEETING (REMINDER)
Tuesday 4th October 2005 7:15 for 7:45
Large Lecture Theatre,
Cognition and Brain Sciences Unit,
Chaucer Road, Cambridge
Bayesian methods for Population Ecology
Steve Brooks
Statistical Laboratory
University of Cambridge
Abstract:
The Bayesian revolution has been slow to take off in the ecological
literature, but there are many advantages to adopting these powerful new
statistical methods. In this talk we will highlight some of the important
ecological issues that have been addressed using Bayesian computational
techniques and highlight the advantages and challenges in using them.
The talk will be illustrated by a number of cases studies incorporating
recent and current research.
Speaker:
Steve graduated in mathematics at Bristol in 1991 before taking a Masters
degree in Statistics at the University of Kent. He stayed on at Kent
for a year as a Research Assistant, under the supervision of Professor Byron
Morgan. During that year (1992-93) Steve helped set up The Minitab Macro
Library and produced a number of papers.
After leaving Kent, he joined the Statistical Laboratory at the University of
Cambridge. There he studied for a PhD on Markov Chain Monte Carlo Methods,
under the supervision of Prof. Gareth Roberts. Whilst at Cambridge, he wrote a
couple of papers on MCMC. Since graduating, Steve has been a member of
the Statistics Groups at Bristol and Surrey universities and is now back
at the Statistical Laboratory in Cambridge. In 1999 Steve was awarded the
Royal Statistical Society's Research prize.
Research interests focus upon the development and application of
computationally intensive methods in Statistics. Application areas include
archaeology, biology, ecology, epidemiology, economics and engineering.
Annual General Meeting: Steve's talk will be preceded by a brief
Annual General Meeting.
Directions: Chaucer Road is off Trumpington Road - if you are heading
away from the city centre it is the first right after the junction
with Brooklands Avenue. Number 15 is at the end on the left and is a
large Victorian House with a more modern extension to its right.
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car park. Cars may be parked there. The outside door will be locked at 7:45.
Arrivals after 7:45 may gain admittance admittance by contacting the
secretary on 07761769436.
Next Meeting:
30th November - Joe Perry, Suzanne Clark (Rothamstead) & Peter Rothery (CEH)
on 'Design of experiments and analysis of data concerning GM crops'.
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 5-45pm. Feel free to join them.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;
E-mail [log in to unmask]
FOR SECURITY PURPOSES COULD ANYONE INTENDING TO ATTEND THE MEETING PLEASE
LET PETER WATSON KNOW.
=========================================================================
Date: Wed, 28 Sep 2005 10:11:57 +0100
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Subject: JOB: Senior statistician, MRC Clinical Trials Unit, London
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MRC Clinical Trials Unit, Cancer Group
Vacancy for a Senior Statistician - Salary c =A339k p.a. inc.
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priorities.
You will take day-to-day responsibility for the CTU teams (trial managers,=20
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analysis of a programme of multi-centre clinical trials and related=20
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will be expected to play an active part in the National Cancer Research=20
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trials, and be instrumental in the design of such trials. An active=20
interest in methodological research would be valuable and encouraged.
The successful candidate is likely to have a post-graduate qualification in =
medical statistics and at least 5 years experience in the design and=20
conduct of clinical trials and epidemiological studies, preferably in=20
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Salary is dependent on previous experience and includes Location Allowance=20
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For informal discussions please contact Professor Mahesh Parmar on Tel: 020 =
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=========================================================================
Date: Wed, 28 Sep 2005 11:18:04 +0100
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From: "Jon Heron (ALSPAC)" <[log in to unmask]>
Subject: [QUERY] A question about interactions - RESPONSES
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Dear all,
thanks for all the replies to my recent email.
Please find below a repeat of the original query, and a list of anonymised
replies.
Oh, and sorry about the typo that totally altered the interpretation of the
second paragraph (this has been corrected below). Fortunately, this
didn't
appear to put people off as I certainly got my money's worth!!
>
> Dear all,
>
>
> it has always been my belief that one could not fit an interaction term in
> a regression model unless both main effects were present.
>
> However, I discovered yesterday that Stata permitted
>(indeed had a specific command for) the inclusion of an interaction between
> a factor and a continuous variable withOUT the factor's main effect.
>
> When is such a model appropriate?
>
> I typically use interactions to test for gender differences in
> the effect of a covariate on a binary outcome - is it always appropriate
> to include the gender main effect in this case?
>
It is often said that you shouldn't include interaction terms without the
main effects, and much software does not allow it explicitly.
However, given 2 or more variables it is always possible to re-parametrise
in an infinity of ways, and some of those will correspond to the
'interaction term' (X*Y or whatever).
I think the important question is what is the best way of expressing the
effects in your data set, and does it have a natural interpretation?
For instance I was looking at a data set relating to transplants and among
the variables of interest are sex of donor and recipient. I can define
variables for each, and their interaction, but ended up with a combination
variable (F into M) which accounted for most of the effect of them.
An alternative view (which I again think is too dogmatic) is that main
effects have no meaning in the presence of an interaction so presumably one
should fit that first!
I was taught that it is fine to enter interactions without main effects.
Entering both interactions and main effects is the most flexible way to do
things....you are allowing intercepts and slopes to differ for your
variables. Entering interactions without main effects forces one of these
to be a certain value by design. This should only be done if you have some
reason/hypothesis behind it.
An example I was given was....
Let's say you have age and gender in the model and you put age and an
age*gender interaction in there. This will force the intercepts of the
lines for the two genders to be the same. This could be done if for some
reason you only want to look at one gender, for example (the one which you
would give the underlying value of '1', the other you would give '0').
The issue has been very well discussed by
John Nelder in various places, including
McCullagh and Nelder's text on GLMs and an article
in the American Statistician on the so-called
inheritance principle. The main question, it
appears to me, is what the science of the problem
leads you to think is going on near the origin of
predictor space.
For what it's worth, it seems to me that most of
the time an interaction term should not be fitted
in the absence of main effects.
Main effects are *present* by definition, but they may have zero
values (in which case some people might loosely describe them as
not present). Likewise interactions!
Anyway, your situation is easily resolved by considering the
meaning of "interaction". The interaction between two factors
(A,B say) is defined as the effect, on the effect of A, of changing
the level of B (or vice versa).
It's easy to exhibit examples where everything is happening in the
interaction, i.e. both main effects are zero, but the interaction
is not. E.g. A and B are two factors at levels (aA), (bB), and
the mean response in each of the four cases (ab), (aB), (Ab), (AB)
is as follows:
(b) (B)
(a) 5.0 10.0
(A) 10.0 5.0
Here the effect of A is zero, since the mean is 7.5 for both (a)
and (A); similarly for B. But within (b) the effect of A is
10.0-5.0 = +5.0, while within (B) it is 5.0 - 10.0 = -5.0, so the
interaction between A and B is -10.0. Similarly if you look at the
effect on B of changing the level of A!
> When is such a model appropriate?
If you're asking "when can one have a model in which one forces
the value of one 'main effect' to be zero (or both)?" then the
above example illustrates a possibility -- if you had prior
reason to believe that in the population being sampled the
effect of A was zero (and perhaps also B), then you would improve
the precision of estimation of the AxB interaction by forcing
the fit to make this/these zero, so that you were estimating only
the interaction.
Such models are rarely sensible, but they sometimes are. David
Rindskopf has several articles
on nonstandard log linear models, and there may be others, as well.
e.g
Rindskopf 1990. Nonstandard log-linear models. Psychological
Bulletin 108 150-162
1999 Some hazards of using nonstandard log-linear
models, and how to avoid them
Pshychological Methods 4 339-347
Do you mean fitting the model:
Y = b1(X1) + b12(X1*X2)
as opposed to:
Y = b1X1 + b2(X2) + b12(X1*X2)
?
Modelling both is readily possible within the statistical packages I've
worked in (SAS, SPSS, MINITAB, R), but I've seen many expressing that
the first model is a bad idea (cf, Response Surface Methodology, Myers
& Montgomery, 1995 [newer edition in 2001 I think]). I believe the idea
to incorporate all elements of an interaction in the model is called
the sparcity of effect principle and the basic logic is that it is
unlikely that a higher-order effect will exist in absence of the
corresponding lower-order effect.
Were you to have lines which should go thru the origin (or any fixed
point), but which might have different slopes for diffreent subgroups you
might want to fit the Group*Continuous term without the Group term (which
would allow each line to have different intercepts)
But in general I'd say you're right
You can represent such a model (in the Wilkinson-Rogers notation for
interaction used by GenStat, R and S-Plus) as
y ~ 1 + x + x.f
where y is the response, x the explanatory variate, f the factor, and 1 a
constant term. The model corresponds to a relationship where x is expected
to have a linear effect on y with different rates for the levels of f, with
no effect of f on y when x is zero. For example, if x is dose and f is
formulation of a drug, you might hypothesize that the effect of the drug on
some response measure might be of this form. There are, of course, many
situations where it would make no sense to assume no effect of a factor
apart from on the slope of the regression.
There is no difficulty with this model with respect to the marginality
rules put forward by John Nelder. These outlaw models that exclude a term
marginal to another, but the definition of marginality relates only to the
categorical constituents of the terms. Whereas f is marginal to f.g where g
is another factor, f is not marginal to f.x. However, x is marginal to x.f
in the same way as 1 is marginal to f. So the model
y ~ 1 + x.f
would violate the marginality rules, unless you interpret the interaction
term differently (which is what is done automatically in software such as
GenStat).
A good example of this sort of model can be found in McCullagh and
Nelder's book on generalised linear models page 96. The data consists of
the
concentration of ascorbic acid in beans over time stored at different
temperatures. There's an assumption that a single load of beans was divided
into 3 lots and stored at the diferent temperatures. This means the mean
concentration at time zero should be the same, but there is evidence that
the
decay rates are different for nthe 3 temperatures. Hence a model with
common intercept but different gradients.
I'm not sure what models you are considering exactly. However, I assume you
asking whether it makes sense for the "ith" linear predictor l(i) to be of
one of the following two forms (here f(i) is the level of factor f on case
i, and x(i) is the value of the continuous variable x on case i, a is a
parameter, a(j) and b(j) are parameters for level j of factor f):
l(i)=a+b(f(i))x(i) (i.e. constant term + factor*variate interaction only)
or
l(i)=a(f(i))+b(f(i))x(i) (i.e. factor main effect + factor*variate
interaction ).
Both these models make sense for the linear predictors (the first merely
says the "regression" lines have the same intercepts but different slopes).
However, where the lines do in fact differ I would expect the intercepts to
differ as well as in the second form above (which I think is the model you
say STATA is fitting). A third possibility, arguably more common than the
first, is to have different intercepts but common slopes, i.e.
l(i) =a(f(i))+b x(i) .
Here b is the common slope.
Jon
--------------------------------------------------
Jon Heron, PhD
Research Statistician
Avon Longitudinal Study of Parents and Children
[log in to unmask]
=========================================================================
Date: Wed, 28 Sep 2005 12:23:36 +0100
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From: Timothy Mak <[log in to unmask]>
Subject: logistic regression with empty cells
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Hi,
I have a multi-centre longitudinal dataset, and basically I want to
compare group1 and group2 on a binary variable. I would also like to know
whether the relationship differ across sites (4 sites). In one site, there
is no positive outcome for all periods in group1. As a result I can't run
my usual GEE. Either I remove that site altogether, or I do something
else.
I wonder, is it acceptable to add 1 or 2 observations to that site, so
that I can carry on with the analysis? For that group in that site, I have
only 14 subjects (around 3 to 4 longitudinal obs each).
Is there a rough rule which says that if you have n>something, it would be
ok to do something like this?
Thanks.
Tim
=========================================================================
Date: Wed, 28 Sep 2005 14:17:39 +0100
Reply-To: ed juszczak <[log in to unmask]>
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From: ed juszczak <[log in to unmask]>
Subject: COURSE: Randomised Controlled Trials: a guide to RCT design,
conduct, analysis, interpretation & reporting
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Please forward this message to anyone that you think might be interested
and post it on your notice board.
Many thanks in advance.
Randomised Controlled Trials course: a practical guide to RCT design,
conduct, analysis, interpretation & reporting
Running from 27th to 31st March 2006 at Oriel College, Oxford.
This 5-day course is co-organised by Prof. Doug Altman, Director of the
Centre for Statistics in Medicine (CSM) and Ed Juszczak (senior medical
statistician, CSM) in collaboration with Prof Mike Clarke, (Director) UK
Cochrane Centre; Prof John Geddes, (Director) Centre for Evidence-Based
Mental Health; Dr Peter Brocklehurst, (Director) National Perinatal
Epidemiology Unit; Prof Paul Glasziou, (Director) Centre for Evidence-Based
Medicine and Dr Pat Yudkin, Reader in Medical Statistics, University of Oxford.
The aim of the course is to equip the participants with an appreciation of
the knowledge and practical skills required to design, analyse, interpret,
report and critique a randomised controlled trial. The course will adopt an
innovative, multi-disciplinary approach, integrating clinical epidemiology
with biostatistics. The teaching will adopt a mixture of styles, including
didactic and highly interactive sessions and will use problem-based
learning with the aim of solving learner-identified problems in the design,
analysis, interpretation, reporting and critique of randomised trials. The
course is NOT intended to serve as an introduction to medical statistics
itself.
The course is aimed at individuals interested in furthering their knowledge
of trial methodology or persons planning or actively involved in trials.
Applications are invited from clinical and non-clinical researchers and
other professionals allied to medicine.
Requests for an application form or further information should be made to:
Tracy Edwards
Centre for Statistics in Medicine
Wolfson College
Linton Road
Oxford, OX2 6UD
UK.
.....................................................................
Tel: +44(0)1865 284402
Fax: +44(0)1865 284424
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Alternatively, you can download a flyer or an application form by visiting
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Date: Wed, 28 Sep 2005 14:21:34 GMT0
Reply-To: Patricia Crowley <[log in to unmask]>
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From: Patricia Crowley <[log in to unmask]>
Organization: Epidemiology & Public Health, UCL
Subject: Conference 14/10/05 Society & Health - Tackling Inequalities
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Society & Health - Tackling Inequalities
UCL International Institute for Society & Health
Launch Conference on 14 -15 October 2005.
www.ucl.ac.uk/iish
Topics include: -
Maternal Health & Child Survival
Cultural Dimensions of Health Inequalities
Ageing and Health
Economics and Well Being
Workshops:
Maternal and Child Health
Migration and Health
Ageing and Health
Violence and Conflict
International and local speakers.
Please see the following website www.ucl.ac.uk/iish for the full
PROGRAMME and REGISTRATION FORM. No fee, but registrations is
essential and spaces are limited.
The launch will be followed by an address by Dr Jong-Wook Lee,
Director-General of the World Health Organisation (WHO) on 'Turning
the tide: tackling the human resource crisis'. See
(http://www.ihmec.ucl.ac.uk/events/Lee/Leedetails.htm) for
registration for this event on Friday evening.
Patricia Crowley
UCL International Institute for Society & Health
=========================================================================
Date: Wed, 28 Sep 2005 15:00:45 +0100
Reply-To: Nick Cox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nick Cox <[log in to unmask]>
Subject: Re: [QUERY] A question about interactions - RESPONSES
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Presumably by accident, this summary omits a comment=20
included in my own reply about Stata:
In the case of Stata, your comment is misrepresentation
insofar as it might lead to the impression
that Stata in some sense encourages this=20
kind of model. You don't name the command,=20
but this is not a fair summary of -xi- if that=20
is what you have in mind. Stata neither encourages=20
nor discourages this practice: the user decides
what model to fit.=20
Nick=20
[log in to unmask]
Jon Heron (ALSPAC)
=20
> thanks for all the replies to my recent email.
> Please find below a repeat of the original query, and a list=20
> of anonymised
> replies.
=========================================================================
Date: Wed, 28 Sep 2005 15:07:21 +0100
Reply-To: Jonathan Sterne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonathan Sterne <[log in to unmask]>
Subject: JOB: Lecturer in Cancer Epidemiology, Bristol
Comments: cc: richardm <[log in to unmask]>
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Lecturer in Cancer Epidemiology, Department of Social Medicine, University
of Bristol
We are seeking to appoint a lecturer in cancer epidemiology in the
Department of Social Medicine, a leading lifecourse and genetic
epidemiology research centre with a 5* grading in RAE 2001
(www.epi.bris.ac.uk). The lecturer will be encouraged to develop their own
research programme and will undertake some departmental teaching. The
lecturer will work with another lecturer and senior staff to extend
existing programmes and develop innovative multi- and inter-disciplinary
approaches to cancer prevention and treatment.
Successful candidates will be graduates with training and experience in
epidemiological research and a relevant postgraduate qualification,
preferably a PhD. An interest in cancer epidemiology will be essential.
The research will investigate the epidemiology of cancer using life-course
and genetic epidemiology approaches, particularly exploring issues of
cancer aetiology in existing cohort studies and developing new preventative
and therapeutic interventions. Informal enquiries to Dr Richard Martin
(0117 928 7321, [log in to unmask]).
Application will be by letter and CV. Further information available from
[log in to unmask] or by post: University of Bristol, Personnel
Services (EO), Senate House, Tyndall Avenue, Bristol BS8 1TH, quoting
reference number 11605. Closing date 14th October 2005.
=========================================================================
Date: Wed, 28 Sep 2005 16:16:16 +0100
Reply-To: Bruce Hunt <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Bruce Hunt <[log in to unmask]>
Subject: JOB: Statistician - Market Research
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Senior Statistical Executive
Location: Warkwickshire
Salary: To GBP 35K base + flexi-benefits
Ref: G1417
Senior Statistical Executive for a leading market research agency to =
help their clients maximise the equity, performance and health of their =
brands. You must have a degree (and preferable a MSc/PhD) in statistics, =
econometrics or similar; advanced Excel; 4+ years experience; and skills =
in time series/regression analysis using statistics software. =
Advertising and price modelling experience; knowledge of SPSS or VB, and =
client-facing skills would be useful.
You will be conducting and reporting on econometric analyses carried out =
on behalf of "blue chip" clients. This will entail taking responsibility =
for the client's modelling needs; examining the effects of advertising, =
pricing, promotion and other factors in order to inform decision-making =
and provide input for client's marketing strategy. You will give input =
into the sales modelling approach for each project; generate meaningful =
insights from the data and provide value-added service to clients. You =
will ensure that the appropriate recommendations are communicated to the =
client; keep up-to-date with the company's methodologies and R&D =
initiatives; and also be involved in the analysis of large scale survey =
projects.
For further details please contact: Bruce Hunt on 01235-203921 or email =
your details to:
[log in to unmask]
Bruce Hunt Associates Ltd
=========================================================================
Date: Wed, 28 Sep 2005 16:16:33 +0100
Reply-To: "Kulinskaya, Elena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kulinskaya, Elena" <[log in to unmask]>
Subject: binary logistic regression with one-off outcome and longitudinal
predictors
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Dear all,
=20
Does anyone know what is the best way to fit this sort of model?
In standard longitudinal GLMM the response is longitudinal, here
response is a diagnosis.
=20
Covariates are measured at differing times and differing number of
times per subject.
=20
Many thanks,
=20
Elena Kulinskaya
[log in to unmask]
=20
=20
=========================================================================
Date: Wed, 28 Sep 2005 16:24:26 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB: SAS Team Leader
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ICgwKSAxNzI3IDgxMTYzNA0KDQpGYXguICs0NCAoMCkgMTcyNyA4NTY1OTQNCg0Kc2VsbGlzQGtl
eXBlb3BsZS5jby51aw0KDQp3d3cua2V5cGVvcGxlLmNvLnVrDQoNCiANCg0KIA0KDQo=
=========================================================================
Date: Wed, 28 Sep 2005 17:20:02 +0200
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Celia Barberousse <[log in to unmask]>
Subject: Sample size calculation for Matched case control study
MIME-Version: 1.0
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Is there anyone who have experiences in Matched case control study (ratio
1:5)?
I try to validate sample size calculation SAS programs:
one use PROC NLMIXED - which permit to take into account the
match between case and control. I used PROC PHREG and observe
same Odds ratio but confidence interval are always shift to
higher values (biased?). Is someone have information on the
difference observed? Which is the best way if we plan to
perform a conditional logistic regression?
the other use PROC LOGISTIC - which do not permit to take into
account the match between case and control but which is
currently used to calculate OR et estimate sample sizes. Is
that conservative enough?
Thanks
C=E9lia
The information contained in this message is confidential and is intended=
for the addressee(s) only. This information may also be legally=
privileged. If you have received this message in error or there are any=
problems please notify the originator immediately.
The unauthorized use, disclosure, copying or alteration of this message is=
strictly forbidden. GlaxoSmithKline Biologicals s.a. will not be liable=
for direct, special, indirect or consequential damages arising from=
alteration of the contents of this message by a third party or as a result=
of any virus being passed on.
=========================================================================
Date: Wed, 28 Sep 2005 16:31:38 +0100
Reply-To: Patrick FitzGerald <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patrick FitzGerald <[log in to unmask]>
Subject: JOB: Statistician/senior statistician - health economics
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Position: Statistician/Senior Statistician
Location: Hammersmith, London, UK
Salary: Competitive salary and bonus package
Organisation: M-TAG Limited (a division of IMS Health)
M-TAG is a leading consultancy specialising in health economics and=20
outcomes research, covering the key disciplines of health economics,=20
epidemiology, critical review and biostatistics. We are part of a growing=20
international network of offices as a division of IMS Health to provide=20
high quality services for our clients. We are currently looking to employ=20
a statistician in our London office as an integral member of our team.=20
Statistician/Senior Statistician
A statistician is required to provide statistical support to our health=20
economics and outcomes research teams. Primary tasks involve the conduct=20
of statistical analyses of clinical trial and survey data, as well as=20
other data related to health economics projects and epidemiology. Tasks=20
associated with survey design, in particular discrete choice study design,=20
are also carried out. The role also includes some project management and=20
advising colleagues on statistical matters, depending on experience.
The applicant should possess a degree in mathematics, statistics or a=20
relevant degree with a substantial statistics component, and at least 2=20
years of experience employed as a statistician, or in an equivalent=20
position. A relevant Masters qualification or higher would be desirable.=20
The applicant should have experience in analysis of large and/or complex=20
data sets, and in the use of statistical analysis packages =96 STATA is=20
preferred, training will be provided if required. Computer programming=20
skills in C/C++ or a similar language will be highly regarded. Good=20
communications skills and ability to work as part of a team are essential.
For further information about this position, please contact Dr Patrick=20
FitzGerald.=20
The position offers a competitive salary and bonus benefits, according to=20
qualifications and experience.
To learn more about M-TAG Ltd please visit our website at www.m-tag.net
To apply, please send (preferably by e-mail) a covering letter and a copy=20
of your current CV to:
Tanya Murphy
Office Manager
M-TAG Limited (Division of IMS Health)
Level 3, Lee House
109 Hammersmith Road
London, W14 OQH.
E-mail: [log in to unmask]
Closing date: Friday 28th October 2005
=========================================================================
Date: Wed, 28 Sep 2005 16:51:44 +0100
Reply-To: IT Staff Rachel Dunne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: IT Staff Rachel Dunne <[log in to unmask]>
Subject: JOB: Data Mining Analyst, Dublin
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Vacancy: Data Mining Analyst
Location: Dublin, Ireland=20
An exciting, innovative software company are seeking a customer facing =
high-level Data Mining Analyst with at least 3 years commercial =
experience to fill a permanent role within their team. They are =
constantly called upon by our customers to carry out in-depth data =
analysis / data mining work, especially in the areas of telecoms, =
finance and utility industries. The product that they are developing is =
using an interesting combination of sociological analysis and =
mathematics.
Responsibilities:=20
=B7 application of statistical and data mining techniques to business =
problems
=B7 building and scoring suites of propensity models
=B7 provision of insights and development of strategies for campaign =
management
=B7 customer segmentation=20
Qualifications=20
a.. Experience working with industry leading data mining tools=20
b.. Beneficial but not mandatory: SPSS Clementine or IBM Intelligent =
Miner.=20
c.. Proven ability to deliver strategic business results using data =
mining.=20
d.. In-depth understanding of marketing and marketing strategies=20
e.. Ability to understand and deliver on customer expectations.
f.. At least 3 years commercial experience
g.. Exposure to telecomms, financial and/or utilities industries. =20
Young, dynamic company! Excellent salary and benefits!=20
For further details please contact: Rachel Dunne on 00353 87 900 2177 or =
email your details to [log in to unmask]
Rachel Dunne (B.Soc.Sc. M.A.)
IT Recruitment Specialist
-----------------------------------------------------------------------
IT Staff Ltd, Horsefield, Newcastle, Co. Wicklow
(A Division of CSL Search and Selection)
t: 01 2811000 f: 01 2811342 m: 087 900 2177
[log in to unmask] www.itstaff.ie
-----------------------------------------------------------------------
=========================================================================
Date: Wed, 28 Sep 2005 17:04:17 +0100
Reply-To: IT Staff Rachel Dunne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: IT Staff Rachel Dunne <[log in to unmask]>
Subject: JOB: Senior Data Analyst
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JOB: Senior Data Analyst (PhD with 5 years+ commercial experience)
Location: Dublin, Ireland
European leading provider of financial crime solutions to the global =
financial services industry, is looking to further increase its =
Professional Services team.=20
Their solutions enable organizations to detect and combat financial =
crime, reducing their operational losses, and addressing the industry's =
ever-changing compliance and regulatory requirements. They provide a =
portfolio of financial crime solutions, which include products for =
Anti-Money Laundering, Fraud Detection & Prevention and Name Matching.=20
They currently have a vacancy for a Senior Data Analyst in their Dublin =
Office. Working within the Professional Services Group, this individual =
will take the lead role within a project team for the successful =
delivery of analytical assignments using leading edge data-mining and =
analysis technologies in a fast growing and dynamic environment.=20
He/she will be commercially aware and have the necessary client facing =
skills to be comfortable in supporting business development activities =
such as client presentations and workshops.=20
Responsibilities=20
a.. Derive maximum value and return on investment through the =
derivation of actionable business insights from the analytical and =
related business intelligence solutions they design and deploy.=20
b.. Play a lead role in the delivery of analytical solutions to =
Clients as well as driving improvements and efficiencies into the =
standardized processes used by the company in the delivery of analytical =
assignments.=20
c.. Support consultancy and sales efforts with knowledge of data =
analysis, statistics and analytical methods. The person would be =
required to deal with senior levels and statistical experts in the =
customer organisation, and be comfortable in defending his/her position =
and challenging the ideas of others.=20
d.. Work with the Engineering team to develop further the analytical =
capabilities of their product line in the areas of financial crime =
detection and prevention and marketing automation.=20
Essential Requirements=20
a.. At least five years experience in an applied commercial advanced =
data analysis environment. In-depth knowledge and understanding of =
contemporary predictive modelling techniques, approaches to customer =
segmentation, link analysis, modelling automation and marketing =
optimisation would be an important asset.=20
b.. Strong background in financial services preferably in marketing =
and credit card marketing=20
c.. Master's or PhD in economics, econometrics, statistics, =
mathematics, or business studies. (Other degrees with extensive applied =
application experience are welcomed and encouraged).=20
d.. Excellent interpersonal skills and an 'ability to think on his/her =
feet', ability to engage and to effectively communicate with both the =
business and analytical community.=20
e.. Able to show a highly developed appreciation and proven experience =
of the application of data analysis techniques to commercial situations =
and be skilled in a number of statistical techniques=20
f.. Strong business appreciation well capable of translating =
analytical results into business insights for Client organisations to =
act upon i.e. seeing the "so what" factor which translates analysis =
results into actionable business insights for the Customer.=20
g.. Relevant experience of leading delivery work of analytical =
solutions within a project team.=20
h.. Ability to take on projects and see them through to completion.=20
Familiarity with Data Warehouses and other structured data =
repositories.
a.. Desire to learn new data analysis tools and techniques and to work =
as part of a delivery focused multi- disciplined, multi-sector team.=20
Desirable=20
a.. In-depth experience with at least one business sector such as =
banking (preferred), telecommunications or insurance and have a deep =
understanding of the data models associated with these sectors.=20
b.. Experience in using industry standard packages such as SPSS, SAS, =
Unica etc.=20
c.. Skilled in techniques such as multiple linear regression, tree =
analysis, neural nets, case based reasoning and their application to =
real-world business problems.=20
d.. Experience of working with the Data Warehouse team Familiarity =
with data warehousing.=20
e.. Willingness to travel is required.=20
For more info, please contact Rachel at 00353 87 900 2177 or email cv to =
[log in to unmask]
Kind regards,
=20
Rachel Dunne (B.Soc.Sc. M.A.)
IT Recruitment Specialist
-----------------------------------------------------------------------
IT Staff Ltd, Horsefield, Newcastle, Co. Wicklow
(A Division of CSL Search and Selection)
t: 01 2811000 f: 01 2811342 m: 087 900 2177
[log in to unmask] www.itstaff.ie
-----------------------------------------------------------------------
=========================================================================
Date: Wed, 28 Sep 2005 17:35:01 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB:3 X Safety Data Analysts - 12 month contract- Europe
MIME-Version: 1.0
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Dear=20Allstat,
=20
My=20client=20is=20actively=20looking=20for=203=20Safety=20Data=20Analysts=
=20to=20support=20the
Clinical=20Pharmacologists=20and=20Statisticians=20in=20the=20preparation=20=
of=20data=20in
required=20formats.=20This=20would=20normally=20be=20from=20Excel=20spread=
sheets=20into
SAS=20datasets=20or=20other=20formats=20as=20requested.=20The=20level=20of=
=20SAS=20programming
is=20not=20extensive=20but=20it=20is=20important=20to=20have=20some=20expe=
rience.=20Graduates
with=20a=20good=20degree=20and=20one=20year=20of=20work=20experience=20in=20=
a=20pharmaceutical
environment=20will=20also=20be=20considered.
=20
Successful=20candidates=20should=20have=20a=20relevant=20statistics,=20num=
erate=20or
scientific=20degree=20together=20with=20some=20experience=20of=20SAS,=20an=
=20interest=20in
data,=20attention=20to=20detail=20and=20quality=20as=20well=20as=20experie=
nce=20in=20or
exposure=20to=20a=20pharmaceutical=20working=20environment.=20Fluency=20in=
=20written=20and
spoken=20English=20is=20essential.
=20
If=20you=20are=20interested=20in=20hearing=20more=20about=20this=20role=20=
please=20contact=20me
directly=20to=20discuss=20your=20application=20and=20suitability=20for=20t=
he=20position.
James=20Harvard=20is=20a=20specialist=20recruitment=20agency=20dedicated=20=
to=20the
pharmaceutical=20industry
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Wed, 28 Sep 2005 17:32:05 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Tests for linear trend in survival analysis
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Dear all
I would value some advice on the apparent difference between the Chi-square test for a linear trend (as provided under the SPSS crosstabs option when such a trend is detected) and the linear trend test forthcoming from a Kaplan Meier analysis on SPSS.
I wish to test for the monotonicity of a relationship for mortalities and note that the two tests produce different p-values. The latter of these two tests may be selected as the 'linear tend for factor levels' option in SPSS only once one has selected the log-rank test option. If these tests are truly different, could someone kindly provide me with a reference for the 'log-rank test for a linear trend' and recommend which is the better when looking for a monotonic relationship in conjunction with a Kaplan Meier analysis. I am aware that the Chi-square test for a linear trend is referred to in published work as having being used for this purpose but if there is a better option, I would like to learn about it. Further, it would appear that the 'log-rank test for a linear trend' carries the assumption of equal 'distance' between levels but I am not aware that this is an assumption for the other test.
Sorry if there is no such thing as a 'log-rank test for a linear trend' but I am taking SPSS as read.
Many thanks
Best wishes
Margaret
---------------------------------
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=========================================================================
Date: Wed, 28 Sep 2005 17:48:42 +0100
Reply-To: Peter Docherty <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Docherty <[log in to unmask]>
Organization: ThinkAnalytics
Subject: JOB: Statistician / Data Mining Analyst in Glasgow-based Software
Company ThinkAnalytics
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Statistician / Data Mining Analyst
=20
ThinkAnalytics (www.thinkanalytics.com), a private rapidly growing =
UK-based
company, has an immediate opening for a senior statistician / data =
mining
analyst.
=20
The successful candidate will conduct data mining & statistical =
analyses,
build predictive models, and deliver customer-focussed presentations on =
the
results. The role requires the candidate to lead data mining analysis,
develop and nurture client relationships and apply statistical analysis =
in a
variety of client projects. It is also important to communicate the =
results
of complex analysis in a clear and concise way, explaining complex =
issues in
everyday terms.
=20
The successful applicant will be confident handling large amounts of =
data
and will ideally have a background in SAS/SPSS programming, data mining,
statistics, data manipulation, writing database queries, spreadsheet =
design
and use. You will be a highly organised individual capable of handling
multiple tasks simultaneously.
=20
You should be able to proactively identify and specify enhancements to
statistical modelling and data mining techniques. Experience in =
prototyping
and implementing the latest data mining/machine learning algorithms is =
also
an advantage.
=20
This position requires interaction with the company's Product =
Management,
Development, Professional Services, Operations, and Sales groups, in
addition to client presentations, therefore strong verbal and written
communication skills are a must. Travel will also be required to a =
variety
of UK, European, North American and worldwide locations.
=20
This is an excellent opportunity for an ambitious individual to have a
rewarding and challenging career in a fast growing organisation. A =
highly
competitive salary will be offered, commensurate with your experience.
=20
Requirements (Experience / Skills)
=20
- Higher degree (Masters/PhD) in quantitative field (i.e. Statistics,
Engineering, Computer Science, etc.) an advantage
- Strong experience in statistics packages (e.g. SAS, SPSS, Matlab, R,
S-Plus)
- Good programming skills a plus (Java experience an advantage)
- Experience working with massive data sets
- Strong SQL skills, e.g. Oracle, DB2, SQL Server, Teradata.
- 4+ years of relevant work experience
- Experience with commercial consulting
- The ability to take initiative and work autonomously while at the same
time contributing to team objectives
- Strong written and verbal communication skills
=20
Contact Information
Peter Docherty
[log in to unmask]
ThinkAnalytics
=20
ThinkAnalytics is an Equal Opportunity Employer.
=20
=========================================================================
Date: Thu, 29 Sep 2005 12:15:30 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Senior Statistician-Sussex
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Dear=20Allstat,
=20
My=20client=20is=20actively=20looking=20for=20a=20Senior=20Statistician=20=
with=20at=20least
five=20years'=20experience=20working=20as=20a=20statistician=20in=20the=20=
field=20of
clinical=20drug=20development=20in=20a=20pharmaceutical=20setting.=20You=20=
will=20provide
statistical=20input=20to=20the=20clinical=20development=20process=20by=20a=
pplying=20your
statistical=20expertise=20to=20the=20design=20and=20analysis=20of=20clinic=
al=20trials=20and
regulatory=20dossier.=20You=20will=20ensure=20high=20scientific=20standard=
s=20for
studies=20and=20continuously=20strive=20for=20innovative=20solutions.=20Th=
at=20means
using=20the=20full=20resources=20of=20a=20large=20international=20team=20o=
f=20statisticians
and=20world-class=20internal=20as=20well=20as=20external=20consultants.=20=
You=20will
perform=20exploratory=20analyses=20of=20data=20as=20appropriate=20and=20yo=
u=20must=20have
the=20drive=20and=20determination=20to=20produce=20results=20-=20often=20t=
o=20tight
deadlines.=20Minimum=20requirements=20An=20MSc=20in=20statistics=20with=20=
5=20years
experience=20or=20PhD=20in=20statistics=20with=20at=20least=20three=20year=
s'=20experience.
Strong=20statistical=20skills=20Good=20oral=20and=20written=20communicatio=
n=20skills
Sound=20knowledge=20of=20the=20relevant=20methodology,=20including=20desig=
ning
clinical=20trials=20and=20using=20SAS=20to=20perform=20analyses.=20Familia=
rity=20with
regulatory=20guidelines=20and=20good=20clinical=20practice.=20The=20abilit=
y=20to
communicate=20statistical=20concepts=20and=20information=20to=20non-statis=
ticians.
=20
This=20is=20a=20permanent=20position=20based=20in=20Sussex.
If=20you=20are=20interested=20in=20hearing=20more=20about=20this=20role=20=
please=20contact=20me
directly=20to=20discuss=20your=20application.
James=20Harvard=20is=20a=20specialist=20recruitment=20agency=20dedicated=20=
to=20the
pharmaceutical=20industry
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Thu, 29 Sep 2005 12:26:16 +0100
Reply-To: Allan Reese AFH CEFAS <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Allan Reese AFH CEFAS <[log in to unmask]>
Subject: Rider to: A question about interactions
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Jon Heron wrote in his original query:
> I discovered yesterday that Stata permitted
>(indeed had a specific command for) the inclusion of an interaction between
> a factor and a continuous variable withOUT the factor's main effect.
Nick Cox surmised this was the xi command (interaction expansion), a very p=
owerful feature of the Stata language. Having followed the allstat exchange=
s, I've just been disconcerted to get a series of messages while using Stat=
a to fit a GLM. I duly included main effects:
xi: glm npos year i.location i.location*year , family(binomial samplen)
and got a series of warnings=20
note: _Ilocation_3 dropped due to collinearity
note: _Ilocation_4 dropped due to collinearity
note: _Ilocation_2 dropped due to collinearity
note: year dropped due to collinearity
but all the main effect and interaction parameters were reported! The reas=
on is that Stata's default *is* to include all interactions and main effect=
s, so
xi: glm npos i.location*year , family(binomial samplen)
is sufficient and would appear to meet general approval as a starting point.
The notation Jon refers to would be i.location|year, which would fit a sepa=
rate slope for each location but a common intercept.
Allan
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Date: Thu, 29 Sep 2005 12:54:00 +0100
Reply-To: "[log in to unmask]" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: JOB: Senior Statisticians Home Counties
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Dear Allstat
We have vacancies for 2 senior statisticians within pharmaceutical organisations, based in the Home
Counties to the West of London. For both positions you will serve as a core project team member to
co-ordinate and manage all statistical project activities. As Project Statistician, you will liaise
directly with the project team members regarding statistical issues and will be responsible for the
quality of the key project deliverables. You may be asked to provide statistical input during
protocol and CRF development and will also prepare statistical analysis plans, review statistical
analyses and report output, and prepare key portions of the clinical study/statistical reports. For
both opportunities, you should have at least 4 years experience as a statistician within clinical
research, and should have an MSc. in statistics.
Please send in your CV for consideration to [log in to unmask]
We have more details and other opportunities for SAS Programmers and Statisticians on our website,
http://www.primoriscs.co.uk
Regards
----=_NextPart_000_000B_888432E5.C7674ECD--
=========================================================================
Date: Thu, 29 Sep 2005 13:16:03 +0100
Reply-To: Richard Kells <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Richard Kells <[log in to unmask]>
Subject: STATISTICS COURSES at Imperial College London, until December 2005
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An Introduction to Matlab
Wednesday 02 & Wednesday 09 November 2005
2.00 - 5.00pm.
An Introduction to Statistics Using SPSS
Wednesday 16 & Wednesday 23 November 2005
1.30 - 4.30pm.
An Introduction to Statistics Using Stata
Wednesday 30 November & Wednesday 07 December 2005
1.30 - 5.00pm.
All courses are spread over 2 half days. The cost for each course is=20
=A3150.00.
The location for each course is: Imperial College London, South Kensington=20
Campus: Room 410, Huxley Building, South Kensington Campus, London SW7 2AZ.
For further information please contact Richard on 0207 594 3856 or=20
[log in to unmask]
Alternatively an application form and accompanying course outline can be=20
downloaded from our web-site:
http://www3.imperial.ac.uk/portal/page?
_pageid=3D43,1&_dad=3Dportallive&_schema=3DPORTALLIVE
=========================================================================
Date: Thu, 29 Sep 2005 15:40:01 +0300
Reply-To: Cristian Gatu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cristian Gatu <[log in to unmask]>
Organization: University of Neuchatel
Subject: CSDA Special Issue on STATISTICS FOR FUNCTIONAL DATA
Comments: To: [log in to unmask]
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---------------
Call for papers
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Special Issue on
STATISTICS FOR FUNCTIONAL DATA
http://www.elsevier.nl/locate/csda
In the recent past years, many scientific fields in which applied
statistics is involved are recording continuous/functional
data. Basically, the scope of disciplines for which such
functional data (or curves data) may appear is covering as well
medicine, econometrics, environmetrics, biostatistics, geophysics,
chemometrics, etc.
It is therefore a real challenge for the statistical community to
develop new tools able to deal with such a functional data context. This
challenge has both theoretical and applied implications.
The aim of this special issue is to present a scope of papers
covering foundations, methodology and applications in functional data
statistical analysis. Papers in the following topics will be
particularly welcome:
-> linear and generalized linear models for functional data;
-> nonparametric modelling for functional regression
-> bootstrapping functional data
-> learning with functional data (boosting, bagging,neural
networks....)
-> classification/discrimination of functional data;
-> testing hypothesis and model selection;
The Methodological domain to be investigated may encompass both
exploratory and inferential techniques. Invitation to submitting
is also extended to original applications. The papers submitted to
the special issue must have a computational or data analytic
component in order to be considered for publication.
Authors should submit their papers to the special issue editors.
The papers must contain original unpublished work that is not being
submitted for publication elsewhere. Manuscripts submitted to
this special issue will be refereed according to standard procedures
for Computational Statistics and Data Analysis. Information about the
journal can be found at http://www.elsevier.com/locate/csda
The DEADLINE for submissions is December 15, 2005
The editorial process is expected to proceed rapidly thereafter.
Submission electronically is encouraged. Please e-mail a postscript or
PDF file of your manuscript to one of the special issue editors:
Wenceslao Gonzalez Manteiga
Departamento de Estadstica e Investigacin Operativa
University of Santiago de Compostela
15782, Santiago de Compostela
Spain
E-mail: [log in to unmask]
Philippe Vieu
Laboratoire Statistique et Probabilites
Universite Paul Sabatier
118 route de Narbonne
31062 Toulouse
France
E-mail: [log in to unmask]
=========================================================================
Date: Thu, 29 Sep 2005 14:39:03 +0100
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: job: SAS Data Analyst
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Dear Allstat
=20
We are currently seeking several SAS Data Analysts to assist =
Statisticians in the production of SAS Datasets from other sources. =
(mainly excel files)
=20
You will need some SAS programming knowledge including Proc Print, Proc =
SQL, Proc Report etc.
You will also need some experience in the pharmaceutical industry =
probably as a data manager or a SAS programmer.
=20
This will be a 1 year contract to start in November.
=20
The rate will be in the region of =A335-40 per hour.
=20
This contract is on the mainland of Europe.
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Thu, 29 Sep 2005 15:36:17 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: Forecasting Analyst Vacancy 12 month secondment - Waitrose
BRACKNELL
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We are currently seeking a Forecasting Analyst (12 month secondment).
The efficient running of a profitable food retailer crucially depends on
how well it organises the distribution of products to its branches.
Waitrose is currently undertaking a key project into Branch Demand
Forecasting, which will enable branches to more efficiently manage any
event that impacts on the ordering system. As a statistician with a
minimum 2:2 degree in statistics, you will ideally have at least 2 years
work experience in statistical analysis. This role will challenge you to
work with the Forecasting Manager to build models, investigate problems and
report back to the commercial Managers with the critical insights you have
gained from your statistical analysis. SAS software experience is
desirable, but confidence with statistical software is a must.
Pay : =A328000 - =A337000 per annum
*********************************************************************
Notice: This email is confidential and may contain copyright material=20
of the John Lewis Partnership. If you are not the intended recipient,=20
please notify us immediately and delete all copies of this message. =20
(Please note that it is your responsibility to scan this message for viruse=
s).
Email to and from the John Lewis Partnership is automatically
monitored for operational and lawful business reasons.
*********************************************************************
John Lewis plc Registered in England 233462
Registered office 171 Victoria Street London SW1E 5NN=09
=20
Websites: http://www.johnlewis.com http://www.waitrose.com
http://www.johnlewispartnership.co.uk
=========================================================================
Date: Thu, 29 Sep 2005 16:41:56 +0100
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
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SENIOR SURVEY STATISTICIAN / RESEARCH DIRECTOR
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Senior Statistician or Research Director . The post=20
would involve work in the areas of sample design and weighting,=20
methodological experimentation, and survey data analysis and reporting.=20
There will also be opportunities for teaching.
Candidates for the post would be expected to have a degree in statistics,=20
social statistics or a closely related discipline and/or Chartered=20
Statistician status, and at least three years of relevant professional=20
experience of survey statistics. This includes experience gained in=20
academia, government, other public sector, and voluntary sector or market=20
research settings. We would expect at least five years of experience for an=
=20
appointment at Research Director level. Candidates would also be expected=20
to be familiar with SPSS, Stata or a similar statistical package.
The post is based at NatCen=92s head office in London EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A325,000 - =A334,000 for a Senior Statistician and in excess of=20
=A334,000 for a Research Director.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, Personnel Administrator, NatCen, 35 Northampton Square, London EC1V=
=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Friday 21 October 2005.
______________________________________
Kevin Pickering
Head of Statistics
Survey Methods Unit
National Centre for Social Research
35 Northampton Square
London EC1V 0AX UK
Tel. 020 7549 9565
Fax. 020 7250 1524
http://www.natcen.ac.uk/
Email policy www.natcen.ac.uk/email.htm
Company limited by guarantee. Reg No: 4392418
Charity No: 1091768
=========================================================================
Date: Thu, 29 Sep 2005 16:42:11 +0100
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
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SURVEY STATISTICIAN
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Survey Statistician. The post would involve work in=20
the areas of sample design and weighting, methodological experimentation,=20
and survey data analysis and reporting. There will also be opportunities=20
for teaching.
Candidates for the post would be expected to have a degree in statistics,=20
social statistics or a closely related discipline and/or Chartered=20
Statistician status. Some professional experience of survey statistics=20
would be preferred, but not required. This includes experience gained in=20
academia, government, other public sector, and voluntary sector or market=20
research settings. Candidates would also be expected to be familiar with=20
SPSS, Stata or a similar statistical package.
The post is based at NatCen=92s head office in London EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A319,000 - =A325,000.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, Personnel Administrator, NatCen, 35 Northampton Square, London EC1V=
=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Friday 21 October 2005.
______________________________________
Kevin Pickering
Head of Statistics
Survey Methods Unit
National Centre for Social Research
35 Northampton Square
London EC1V 0AX UK
Tel. 020 7549 9565
Fax. 020 7250 1524
http://www.natcen.ac.uk/
Email policy www.natcen.ac.uk/email.htm
Company limited by guarantee. Reg No: 4392418
Charity No: 1091768
=========================================================================
Date: Thu, 29 Sep 2005 17:47:40 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB - Principal Statistician
MIME-Version: 1.0
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=20
Principal Statistician
=20
Salary: up to GBP50k=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom=20
=20
Background:=20
=20
Support epidemiological research and protocol development across a
variety of therapeutic areas by providing expert statistical strategy
and advice on study design. Advise on the statistical analyses of
epidemiological studies. Advise on the use of software tools for
analysis especially for complex or novel methodologies. Consult on the
interpretation of analyses and support the development of manuscripts.
Monitor the statistical and epidemiological literature for new
analytical methods that may offer compelling advantages over existing
techniques. Contribute to the company status as leader in the
development of epidemiological methods. Interact with regulators and
regulatory statisticians on epidemiological issues.=20
=20
Primary Duties:=20
=20
You will have the ability to understand methodologic issues relating to
longitudinal observational databases. Familiarity with principles of
epidemiologic study design as well as analytical methods used in
epidemiologic research will be required as will strong statistical
skills and the ability to review the statistical and epidemiological
literature to identify appropriate methodology to meet customer needs.
You will have experience of meta-analyses and data-mining.=20
=20
Qualifications:=20
=20
You will have the ability to develop credibility with colleagues in
epidemiology to challenge and influence decisions. Balance priorities
and deal with multiple tasks through good personal organisation.
Understand new therapeutic areas quickly. Work with colleagues in UK, US
and other regions. Resolve problems through resourceful use of
information and contacts. Statistical programming skills in SAS, STATA,
SPlus and other packages. Work independently.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Thu, 29 Sep 2005 20:00:21 +0100
Reply-To: Chris Kershaw <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Kershaw <[log in to unmask]>
Subject: Next RSS Social Statistics Meeting - 11 October - Arrestee and
Offending, Crime and Justice surveys
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Royal Statistical Society=20
=20
Meeting of the Social Statistics Section 11 October 2005
=20
Methodological Issues and Results from the Arrestee Survey and =
Offending,
Crime and Justice Survey
=20
The Arrestee Survey is a nationally representative survey of individuals
aged 17 or over at the first point of entry into the Criminal Justice
System, namely at arrest. The survey has been running continuously since
September 2003. The Arrestee Survey collects information on reason for
arrest, self-reported offending, drug and alcohol use, drugs supply and
treatment. The talk will centre on the challenges associated with
undertaking such a survey and the methodology employed to meet these. In
addition, if available, the emerging key findings from the first year of =
the
survey will be discussed.
=20
The Offending, Crime and Justice Survey (OCJS) is the national =
longitudinal
self-report offending survey for England and Wales. The survey, covering
people living in private households, was first conducted in 2003 and =
will be
repeated annually until 2006. The focus is on young people aged 10 to =
25.
The main aims are to collect information on the extent of offending,
anti-social behaviour and drug use among young people and examine the =
impact
various risk and protective factors have on pathways into and out of
delinquency. The talk will focus on the methodological challenges and
present some of the key findings from the 2003 survey.
=20
Speakers:
The speakers will be Debbie Wilson (OCJS), Clare Sharp (OCJS) and =
Natalie
Owen (AS) from the Home Office Research, Development and Statistics =
(RDS)
with Richard Boreham (NatCen) and Steve Pudney (University of Essex). =
Chair
Chris Kershaw
=20
Date & Time:
=20
Tuesday 11 October 2005, 5:00 PM (Tea from 4:30)
=20
Place:
=20
RSS, 12 Errol Street, London EC1Y 8LX
=20
Admission:
=20
The meeting is open to all and free of charge
=20
For more information please contact:
Rosalyn Harper
[log in to unmask] / Tel: 020 7273 8010
=========================================================================
Date: Thu, 29 Sep 2005 17:03:08 -0700
Reply-To: richard bowyer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: richard bowyer <[log in to unmask]>
Subject: Query: Ratio of 2 random variables
Mime-Version: 1.0
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Hi All,
Does anyone have a formula or reference for the bias of Var(Z), where Z=Y/X,
Y and X are random variables?
I have the formulae for E(Z) and Var(Z) and Bias(Z) using the Taylor series
approx. I was wondering about the bias of var(Z)?
Many Thanks,
Richard.
=========================================================================
Date: Fri, 30 Sep 2005 08:49:19 +0000
Reply-To: Michael Waller <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Waller <[log in to unmask]>
Subject: Job - Statisitician ICR Sutton
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SECTION OF CANCER GENETICS
Statistician
The Institute of Cancer Research is at the forefront of international can=
cer=20
research and, with the Royal Marsden NHS Trust, forms the largest=20
comprehensive cancer centre in Europe. The Section of Cancer Genetics has=
an=20
international reputation for its work on understanding inherited=20
susceptibility to a number of tumours. The section has close links with t=
he=20
Section of Epidemiology within the ICR and with Cancer Epidemiology at th=
e=20
London School of Hygiene and Tropical Medicine. Applications are invited=
=20
for this new 2-year Cancer Research UK post to work on genetic=20
susceptibility to cancer.
We require an enthusiastic and self-motivated individual to join our=20
expanding statistical genetics group. The successful candidate will=20
contribute to ongoing studies as well as to the design and analysis of ne=
w=20
projects. Applicants must have: a higher degree in statistics or equivale=
nt=20
qualification; experience in a research environment; good organisational =
and=20
interpersonal skills; self motivation, the capacity to work in a team and=
=20
the ability to produce reports to deadlines. Previous experience of genet=
ics=20
would be useful but is not essential.
The starting salary will be in the range of =A323,619 to =A333,416 per an=
num=20
inclusive. Salary will be commensurate with qualifications and experience=
.=20
The post is initially funded for 2 years and there will be the possibilit=
y=20
of renewal, subject to future grant applications.
Informal enquiries are welcome and can be made to Richard Houlston (tel:=20
0208 722 4175; e-mail: [log in to unmask]). Please Note - this em=
ail=20
address is for enquiries only and CVs must be submitted in line with the=20
instructions below.
To apply, please send two copies of your CV including the names and=20
addresses of two referees, to the HR Office, The Institute of Cancer=20
Research, 123 Old Brompton Road, London SW7 3RP quoting reference number=20
HAD50-2. For a job description and person specification please visit our=20
website at www.icr.ac.uk/jobs.html. Alternatively you may call our 24 hou=
r=20
recruitment line on 020 7153 5475.
Closing date for applications: Friday 14th October 2005
=========================================================================
Date: Fri, 30 Sep 2005 02:41:24 -0700
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: Query: Data Fusion
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear All,
I have a question regarding data fusion. Suppose I try
to fuse two datasets based on nearest distance between
the common variables, will there be a problem if the
distribution of the common variables are not same?
For Eg,
Dataset A has the following variables,
Y X1 X2
and dataset B has the following variables,
Z X1 X2.
If I try to fuse the two datasets A and B based on the
nearest distance using the Eucledian distance as a
measure of proximity, how correct will my results be
if the distributions of X1 and X2 in the two datasets
are different.
Indrajit
Indrajit Sen Gupta
Business Analyst
Mu Sigma Business Solutions Pvt Ltd
#21/1-1, Nawab Towers
Cunningham Road
Bangalore 560 052, India
Tel: +91 80 5123 2551
Fax: +91 80 5123 8853
Mob: +91 98807 54816
[log in to unmask]
www.mu-sigma.com
__________________________________
Yahoo! Mail - PC Magazine Editors' Choice 2005
http://mail.yahoo.com
=========================================================================
Date: Fri, 30 Sep 2005 10:53:25 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: PhD opportunity University of Surrey
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Food Standards Agency (FSA) Postgraduate Scholarship Scheme PhD studentship
>
>The Postgraduate Medical School (PGMS) at the University of Surrey, in=20
>collaboration with the Food Standards Agency (FSA), invites applications=20
>for an FSA PhD studentship on a project to develop dose-response models to=
=20
>characterize low dose effects of chemicals and mixtures. The studentship=20
>is available for 3 years and will cover fees and maintenance. The tax-free=
=20
>maintenance allowance is at the level of =A312,000 pounds per year.
>
>Please note that you must satisfy certain UK residency requirements to be=
=20
>eligible for the full grant. EU nationals may be eligible for a =91fees=20
>only=92 award. See full details on student eligibility in Annex 2 of the=
FSA=20
>guidance notes=20
>(<http://www.food.gov.uk/multimedia/pdfs/pgssguidenotessep05.pdf>http://www=
.food.gov.uk/multimedia/pdfs/pgssguidenotessep05.pdf).=20
>
>
>The aim of the project is:
>
>=B7 to develop experimental designs which optimize the=20
>characterization of dose-response relationships in various possible model=
=20
>systems =B7 to develop experimental designs which quantified the=20
>degrees of synergy arising in the investigation of mixtures in various in=
=20
>vitro systems =B7 to develop mathematical models linking the=20
>dose-response relationships identified and quantified using the different=
=20
>model systems such as transcriptomics and proteomics.
>
>The student would be located within the Postgraduate Medical School (PGMS)=
=20
>with close links to other departments within the University such as the=20
>School of Biomedical and Molecular Science (SBMS) and the School of=20
>Engineering and Physical Sciences (SEPS). In particular close links will=20
>be maintained with SBMS. The PGMS and SBMS received a 5* grade for a joint=
=20
>submission in the last RAE assessment and have active research programmes,=
=20
>such as in pharmacoepidemiology, toxicology and bioinformatics, relevant=20
>to the student=92s project. Both Schools have large numbers of postgraduate=
=20
>students, well-developed formal training programmes and arrangements for=20
>the skilled supervision of research students.
>
>Interested candidates can contact either: Dr David P. Lovell (=20
>[log in to unmask]) ) or Dr Nick Plant ([log in to unmask]
><<mailto:[log in to unmask]>mailto:[log in to unmask]>) for further=20
>details.
>
>Application procedure:
>
>Interested candidates who are highly motivated, who hold or are expecting=
=20
>to gain a first or upper second class degree in statistics, mathematics,=20
>related subject or biology with an appreciable quantitative component or=20
>hold a relevant masters degree should send a completed application form=20
>(available from the University of Surrey website:=20
><<http://portal.surrey.ac.uk/pgstudy/research.pdf>http://portal.surrey.ac.u=
k/pgstudy/research.pdf>=20
>with guidance notes at=20
><<http://portal.surrey.ac.uk/pgstudy/guidanceresearch.pdf>http://portal.sur=
rey.ac.uk/pgstudy/guidanceresearch.pdf>=20
>) together with a CV and a covering letter to Dr David Lovell, PGMS,=20
>University of Surrey, Daphne Jackson Road, Manor Park, Guildford,GU2 7WG.=
=20
>Electronic applications may be emailed to [log in to unmask]
><<mailto:[log in to unmask]>mailto:[log in to unmask]>. Completed=20
>applications must reach the University of Surrey by 31st October 2005.
=========================================================================
Date: Fri, 30 Sep 2005 11:27:44 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job Role from Natalie Fforde MSc/PhD Graduates UP to Senior
level roles
We are currently recruiting all levels of Clinical Statisticians and SAS
programmers for a prestigious Pharmaceutical Client based in the UK and
Switzerland
If you are a new MSc / PhD up to a Global Head of Statistics , Fforde
would be interested in discussing this exciting project with you
Natalie has over 17 years recruitment experience and she has been working
with Statisticians for the last 6 years , so you can be assured of a high
quality of service and confidentiality
Please contact Natalie or Chris Brown , Fforde's Manager of the Statistics
and programming division for more information
Kind Regards
=========================================================================
Date: Fri, 30 Sep 2005 11:33:22 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: Fforde Managements Contact Details
Sorry !:
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
=========================================================================
Date: Fri, 30 Sep 2005 12:02:01 +0100
Reply-To: Jane Hutton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jane Hutton <[log in to unmask]>
Subject: QUERY: Sheffield's definition of plagiarism
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Dear Colleagues
I recognise that decisions by university management are not necessarily
supported by all academic staff.
Medical statisticians are familiar with being left off grant applications
and papers.
What do you think of Sheffield University's apparent definition of
plagiarism? See today's Times Higher, pg 8. Apparently, if three people
write a grant proposal, two people are free to submit it without any
reference to the other (main) author.
Even if I were the lesser author on a joint authored manuscript, I would
not expect the main author to submit in her own name alone.
I wonder whether Sheffield University will now complain about my
'distributing information, including a Times Higher article'? That
appears to be a reason for the recent suspension of Dr Blumsohn, the
academic who complained about plagiarism three years ago.
regards
Jane
Prof J L Hutton Department of Statistics
Chairman The University of Warwick
Email: [log in to unmask] Coventry
Tel: 024 7652 8357 CV4 7AL
Fax: 024 7652 4532 United Kingdom
=========================================================================
Date: Fri, 30 Sep 2005 12:23:25 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
Dear Allstaters,
A reminder about our forthcoming meeting, joint with the medical
section. Further details can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Tuesday 11 October, 2.30pm, Lecture Theatre X, Worsley
Building, University of Leeds (tea from 2pm)
Joint meeting with Medical Section
Environmental Epidemiology
Speakers to include:
Patrick Sanders (Health Protection Agency, Birmingham)
The public health impact of landfill waste sites
Richard Feltbower and Samuel Manda (University of Leeds)
Detecting similarities in the spatial distribution of childhood leukemia
and type 1 diabetes using Bayesian smoothing.
Christopher Robertson and Christina Yap (University of Strathclyde)
The Long Term Effects of Environmental Pollution on Cause Specific
Mortality in Scotland
=========================================================================
Date: Fri, 30 Sep 2005 12:34:24 +0100
Reply-To: "Best, Nicky G" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Best, Nicky G" <[log in to unmask]>
Subject: JOB: RA in Biostatistics (Bayesian disease mapping),
Imperial College London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Imperial College London=20
Division of Epidemiology, Public Health and Primary Care
=20
Research Associate in Biostatistics
=A322,870-=A333,330 inclusive of London allowance
=20
This is an exciting opportunity for an ambitious post-doc with a PhD in =
statistics or a related quantitative subject and who is looking to =
develop their career as an applied statistician within a research =
environment. You will join an internationally-renowned Biostatistics =
group within the Department of Epidemiology and Public Health at =
Imperial which is at the cutting edge of applications and developments =
in Bayesian hierarchical modelling, spatial statistics, and statistical =
methods in epidemiology, genetics and social science. The project, which =
is funded by the Thames Cancer Registry, will involve the development =
and application of Bayesian disease mapping techniques to the analysis =
of small area variations in cancer risk in the SE of England, with a =
view to producing a cancer atlas book.
=20
You will have a PhD in statistics or equivalent work experience, and =
experience in analysing relatively large datasets using some of the =
major statistical packages, and in the use of modern statistical =
modelling techniques such as Bayesian hierarchical models and spatial =
statistics. The post is for one year in the first instance. The starting =
salary will be in the range =A322,870-=A333,330, inclusive of London =
allowance.=20
=20
To obtain an application form and further details, go to: =
http://www.imperial.ac.uk/employment/research/index.htm =
<http://www.imperial.ac.uk/employment/research/index.htm> and search on =
closing date (note - the information relating to this post will not be =
available on this web page until the beginning of October). =
Alternatively, write to the Recruitment Assistant, Human Resources =
Division, Imperial College London, St Mary's Campus, Norfolk Place, =
London W2 1PG, quoting reference MJ 114/05
=20
Closing date: 21 October 2005
=20
Valuing diversity and committed to equality of opportunity.
=20
=20
Dr Nicky Best=20
Reader in Statistics and Epidemiology=20
Department of Epidemiology and Public Health=20
Imperial College Faculty of Medicine=20
St Mary's Campus=20
Norfolk Place=20
London W2 1PG=20
Tel +44 (0)20 7594 3320=20
Fax +44 (0)20 7402 2150=20
website (dept) http://www1.imperial.ac.uk/med/people/n.best.html =
<http://www1.imperial.ac.uk/med/people/n.best.html> =20
website (group) http://www.icbiostatistics.org.uk =
<http://www.icbiostatistics.org.uk/> =20
=20
=20
=========================================================================
Date: Fri, 30 Sep 2005 09:16:50 -0400
Reply-To: Jason Osborne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: Re: QUERY: Sheffield's definition of plagiarism
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: quoted-printable
The American Psychological Association and (I think) the American Medical =
Association, as well as other professional organizations have attempted to =
put out guidelines regarding what rises to the level of authorship and =
what does not.
=20
As a fellow methodologist/statistician who leads a team of faculty, =
postdoc, and graduate and undergraduate students on a multi-year grant, I =
am very aware of this issue. OUr criterion for authorship is to err on =
the side of inclusion, which costs nothing, rather than risk exclusion, =
which costs everything. =20
=20
Thus, we list authors who have contributed substantially to each product.
=20
I have also recently had the experience of spending a great deal of time =
helping two colleagues write a large (> $5 million dollars) grant, only =
to be completely left out. No authorship credit, no inclusion in the =
budget, etc. That HURT a great deal. It really would not make a =
difference professionally, as I have enough to do on my own, and I already =
have tenure, but it HURT because I felt used and deceived. And it felt =
unethical. Those two would never have gotten (what is currently the =
largest grant in the history of this college) the grant without my help, =
but now they are perceived as having engineered the feat by themselves.
=20
So, my bias is from the point of ethics, if someone has contributed to a =
paper, or presentation to the level that that paper or presentation could =
not have been written without them (e.g., like my graduate students who =
spend their existence gathering and entering data, but not necessarily =
writing it up) then I attempt to include them as co-authors. =20
=20
I will also say that I think it is PARTICULARLY important that faculty be =
careful about dealing with their students, who are (a) not in a position =
of power with regards to determining rewards like this, (b) not experienced=
in the norms and culture of research, and ( c ) at a point in their =
careers where authorship is probably most important to be ethically =
handled.
=20
I will, finally, say that little research these days is done in a vacuum-- =
the norm is team and group research, as it is in many fields (in physics, =
for examples, it is the norm to have up to a dozen co-authors of a paper). =
It is unethical to deny authorship, and it is ALSO unethical to award =
authoship if a person did NOT fundamentally contribute to a paper/project.
=20
If you haven't hit DELETE by now, thank you for attending to my ravings.
=20
Jason
=20
=20
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page: http://ced.ncsu.edu/ci/ed_psych.h=
tml
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
>>> Jane Hutton <[log in to unmask]> 09/30/05 7:02 AM >>>
Dear Colleagues
I recognise that decisions by university management are not necessarily
supported by all academic staff.
Medical statisticians are familiar with being left off grant applications
and papers.
What do you think of Sheffield University's apparent definition of
plagiarism? See today's Times Higher, pg 8. Apparently, if three people
write a grant proposal, two people are free to submit it without any
reference to the other (main) author.
Even if I were the lesser author on a joint authored manuscript, I would
not expect the main author to submit in her own name alone.
I wonder whether Sheffield University will now complain about my
'distributing information, including a Times Higher article'? That
appears to be a reason for the recent suspension of Dr Blumsohn, the
academic who complained about plagiarism three years ago.
regards
Jane
Prof J L Hutton Department of Statistics
Chairman The University of Warwick
Email: [log in to unmask] Coventry
Tel: 024 7652 8357 CV4 7AL
Fax: 024 7652 4532 United Kingdom
=========================================================================
Date: Fri, 30 Sep 2005 17:12:11 +0100
Reply-To: Max Blumberg <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Max Blumberg <[log in to unmask]>
Subject: Data cleaning and multivariate outliers?
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Hi
I have 1100 cases where participants completed an internet survey and
wondered whether anyone could advise how to use SPSS to detect:
1. Multivariate outliers
2. Repeating patterns of data
Many thanks in advance
Max
=========================================================================
Date: Fri, 30 Sep 2005 17:39:38 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: Job: Associate Director of Biometrics
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Associate Director of Biometrics
=20
Salary: GBP 55,000, DOE=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
Leadership responsibilities with overall responsibility for delivering
local Biostatistics and Statistical Programming services while
maintaining optimal department processes and overseeing implementation
of excellent project-specific strategies.=20
=20
Primary Duties:=20
=20
Please contact me to receive a detailed spec and information on company
and location.=20
=20
Qualifications:=20
=20
Minimum of eight years of relevant work experience with at least four
years supervisory experience to include biostatistics or statistical
programming. Demonstrated skill for management of multi-functional group
within a geographic region. Good financial analytical skills=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting
reference 'grv-4045'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 30 Sep 2005 20:55:48 +0100
Reply-To: Doug Altman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: Re: QUERY: Sheffield's definition of plagiarism
Comments: To: Jane Hutton <[log in to unmask]>
In-Reply-To: <[log in to unmask]
.ac.uk>
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Plagiarism is defined by the World Association of Medical editors (WAME) as
follows:
>"Plagiarism is the use of others' published and unpublished ideas or words
>(or other intellectual property) without attribution or permission, and
>presenting them as new and original rather than derived from an existing
>source. The intent and effect of plagiarism is to mislead the reader as to
>the contributions of the plagiarizer. This applies whether the ideas or
>words are taken from abstracts, research grant applications, Institutional
>Review Board applications, or unpublished or published manuscripts in any
>publication format (print or electronic).
>
>Plagiarism is scientific misconduct and should be addressed as such."
[http://www.wame.org/pubethicrecom.htm#plagiarism]
What you describe meets this description and thus if true is completely
unacceptable. On the face of it, based only on the article, I find the
judgment that such behaviour was OK extremely surprising, to put it in its
most favourable light.
Doug
At 12:02 30/09/2005, Jane Hutton wrote:
>Dear Colleagues
>
>I recognise that decisions by university management are not necessarily
>supported by all academic staff.
>
>Medical statisticians are familiar with being left off grant applications
>and papers.
>
>What do you think of Sheffield University's apparent definition of
>plagiarism? See today's Times Higher, pg 8. Apparently, if three people
>write a grant proposal, two people are free to submit it without any
>reference to the other (main) author.
>
>Even if I were the lesser author on a joint authored manuscript, I would
>not expect the main author to submit in her own name alone.
>
>I wonder whether Sheffield University will now complain about my
>'distributing information, including a Times Higher article'? That
>appears to be a reason for the recent suspension of Dr Blumsohn, the
>academic who complained about plagiarism three years ago.
>
>regards
>Jane
>
>Prof J L Hutton Department of Statistics
>Chairman The University of Warwick
>Email: [log in to unmask] Coventry
>Tel: 024 7652 8357 CV4 7AL
>Fax: 024 7652 4532 United Kingdom
_____________________________________________________
** PLEASE NOTE MY NEW ADDRESS **
(email address is unchanged)
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
=========================================================================
Date: Sat, 1 Oct 2005 09:59:05 +0100
Reply-To: Brandon Whitcher <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Brandon Whitcher <[log in to unmask]>
Subject: JOB: Magnetic Resonance Imaging Modeller/Analyst,
GlaxoSmithKline (multiple positions)
A new UK-based research imaging centre, realising a bold idea
GlaxoSmithKline is partnering with Imperial College (University of London)
and the UK Medical Research Council to develop a new Clinical Imaging Centre
(CIC) on the Hammersmith Hospital site in West London, headed by Dr. Paul
Matthews. This unique partnership between academic scientists and the
pharmaceutical industry has been forged to develop and implement novel
strategies for applying imaging to better understand mechanisms of disease
and therefore aid drug development.
The main purpose of this job is to develop and apply
quantitative/statistical modelling techniques to GSK imaging studies to
order to inform drug development decisions and strategy.
The Mission
- To use the most advanced imaging tools to better define disease, identify
and measure drug targets locally within human tissues and organs.
- To find new ways to get safer and more effective medicines to patients
faster than has ever been possible before.
The Method
o Create a multi-disciplinary, intellectually vibrant and open scientific
environment in the heart of one of the UK's leading medical schools.
o Resource it as the most complete and modern clinical MRI, PET and optical
imaging laboratory in Europe.
o Support imaging with a strong radiochemistry facility linked to
GlaxoSmithKline's full compound library.
o Provide dedicated biology and image analysis laboratories, as well as
psychophysical testing areas.
As an Image Modeller you will
- Develop novel image analysis methodology and apply it to GSK imaging
studies to derive quantitative imaging endpoints.
- Implement novel methodologies in software in order to deliver quantitative
analyses of GSK imaging data.
- Take a lead role in the design of imaging study protocols, including the
definition of analysis plans, to ensure proper experimental design and
appropriate analysis of the imaging data.
- Provide critical evaluation of quantitative summaries from imaging studies
in order to present the quantitative results in the appropriate biological
context.
- Interact with staff from all disciplines working at the centre and across
therapeutic areas in the company.
- Publish image analysis research, both internally through writing reports
and giving presentations and externally through publications in high-quality
scientific journals and presentations at international conferences.
Requirements
- PhD in a quantitative field (MSc with 3+ years of experience will also be
considered).
- Programming experience and proven ability to implement methodology in
relevant languages; e.g., C/C++, Fortran, Matlab, IDL, R/S.
- Experience in image analysis is preferred.
- Knowledge of MRI or PET is preferred.
- Experience with time series analysis, spatial statistics, Bayesian
statistics, or functional data analysis a plus.
If you want to be a part of a new, dynamic industrial-academic venture, then
this could provide the rewarding career step you have been looking for! If
interested, please visit www.gsk.com/careers/gsk_frame-uk.htm and apply to
Req ID 27536. Do not respond via email.
=========================================================================
Date: Sat, 1 Oct 2005 09:53:16 -0400
Reply-To: Jason Osborne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: Re: QUERY: Sheffield's definition of plagiarism
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable
Dear colleagues:
=20
Yes, since many of us are methodologists, we have experienced the same
thing-- being taken for granted or forgotten when it's authorship or
grant time.
=20
*BUT*
=20
It does not have to continue. After I was screwed out of the 5 million
dollar grant I helped write, I made it a policy to discuss authorship
and soforth right at the beginning when I am talking with someone about
working on a project with them... even if it is a student. If I am
going to make a substantial contribution to the project (and that
includes running or supervising analyses) then I tell them up front I
expect authorship credit on products arising from my work. When I'm on
student committees, which can be quite demanding on one's time, I
discuss the same thing.
=20
If I am helping to write a grant I talk about my role in the project
and budget.=20
=20
If you do that, 99% of these problems will be eliminated, and
colleagues will understand the ethics of authorship better. And if you
have these conversations and the issue still arises, you have grounds
for complaint.
=20
J
=20
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page:=20
http://ced.ncsu.edu/ci/ed_psych.html
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
>>> (H=F6=E9=F4=E9 =E5=E3=E5=E3 =F9=E5=E7=E8 <[log in to unmask]> 10/0=
1/05 4:01 AM >>>
Hi
I guess were in the same club.
Ive been left out of proposals, articles ect.
Tzippy
----- Original Message -----=20
From: "Jason Osborne" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, September 30, 2005 3:16 PM
Subject: Re: QUERY: Sheffield's definition of plagiarism
The American Psychological Association and (I think) the American
Medical
Association, as well as other professional organizations have attempted
to
put out guidelines regarding what rises to the level of authorship and
what
does not.
As a fellow methodologist/statistician who leads a team of faculty,
postdoc,
and graduate and undergraduate students on a multi-year grant, I am
very
aware of this issue. OUr criterion for authorship is to err on the
side of
inclusion, which costs nothing, rather than risk exclusion, which
costs
everything.
Thus, we list authors who have contributed substantially to each
product.
I have also recently had the experience of spending a great deal of
time
helping two colleagues write a large (> $5 million dollars) grant,
only to
be completely left out. No authorship credit, no inclusion in the
budget,
etc. That HURT a great deal. It really would not make a difference
professionally, as I have enough to do on my own, and I already have
tenure,
but it HURT because I felt used and deceived. And it felt unethical.=20
Those
two would never have gotten (what is currently the largest grant in
the
history of this college) the grant without my help, but now they are
perceived as having engineered the feat by themselves.
So, my bias is from the point of ethics, if someone has contributed to
a
paper, or presentation to the level that that paper or presentation
could
not have been written without them (e.g., like my graduate students
who
spend their existence gathering and entering data, but not necessarily
writing it up) then I attempt to include them as co-authors.
I will also say that I think it is PARTICULARLY important that faculty
be
careful about dealing with their students, who are (a) not in a
position of
power with regards to determining rewards like this, (b) not
experienced in
the norms and culture of research, and ( c ) at a point in their
careers
where authorship is probably most important to be ethically handled.
I will, finally, say that little research these days is done in a
vacuum--=20
the norm is team and group research, as it is in many fields (in
physics,
for examples, it is the norm to have up to a dozen co-authors of a
paper).
It is unethical to deny authorship, and it is ALSO unethical to award
authoship if a person did NOT fundamentally contribute to a
paper/project.
If you haven't hit DELETE by now, thank you for attending to my
ravings.
Jason
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page:
http://ced.ncsu.edu/ci/ed_psych.html
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
>>> Jane Hutton <[log in to unmask]> 09/30/05 7:02 AM >>>
Dear Colleagues
I recognise that decisions by university management are not
necessarily
supported by all academic staff.
Medical statisticians are familiar with being left off grant
applications
and papers.
What do you think of Sheffield University's apparent definition of
plagiarism? See today's Times Higher, pg 8. Apparently, if three
people
write a grant proposal, two people are free to submit it without any
reference to the other (main) author.
Even if I were the lesser author on a joint authored manuscript, I
would
not expect the main author to submit in her own name alone.
I wonder whether Sheffield University will now complain about my
'distributing information, including a Times Higher article'? That
appears to be a reason for the recent suspension of Dr Blumsohn, the
academic who complained about plagiarism three years ago.
regards
Jane
Prof J L Hutton Department of Statistics
Chairman The University of Warwick
Email: [log in to unmask] Coventry
Tel: 024 7652 8357 CV4 7AL
Fax: 024 7652 4532 United Kingdom
=========================================================================
Date: Mon, 3 Oct 2005 09:40:43 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Associate Director, Biometrics-South East
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
Please=20find=20below=20our=20latest=20permanent=20vacancy=20in=20the=20So=
uth=20East.=20For
more=20information=20please=20contact=20me=20to=20discuss=20the=20position=
=20in=20more
detail.
Associate=20Director,=20Biometrics
=20
Business=20Type:=20Clinical=20Research=20Organisation,=20Contract=20Resear=
ch
Organisation=20
Job=20Type:=20Data=20Management/Statistics=20
Position=20type:=20Permanent=20
Location:=20United=20Kingdom=20
=20=20
Background:=20
=20=20
My=20client=20is=20actively=20looking=20for=20an=20Associate=20Director=20=
of=20Biometrics
with=20overall=20responsibility=20for=20delivering=20local=20Biostatistics=
=20and
Statistical=20Programming=20services=20while=20maintaining=20optimal=20dep=
artment
processes=20and=20overseeing=20implementation=20of=20excellent=20project-s=
pecific
strategies=20
=20=20
Primary=20Duties:=20
=20=20
*=20Develop=20and=20implement=20short-term=20strategies=20to=20improve=20B=
iometrics
efficiencies=20locally=20*=20Collaborate=20with=20Senior=20Biometrics=20Le=
adership=20on
the=20development=20and=20implementation=20of=20long=20term=20strategies=20=
to=20improve
Biometrics=20efficiency=20regionally=20and=20globally=20
=20=20
Qualifications:=20
=20=20
*=20Minimum=20of=20eight=20(8)=20years=20of=20relevant=20work=20experience=
=20with=20at=20least
four=20years=20supervisory=20experience=20to=20include=20biostatistics=20o=
r
statistical=20programming=20*=20Demonstrated=20skill=20for=20management=20=
of
multi-functional=20group=20within=20a=20geographic=20region=20*=20Excellen=
t=20planning
and=20organizational=20skills=20including=20the=20skills=20necessary=20for=
implementing=20strategic,=20operationally-driven=20changes=20
=20
James=20Harvard=20is=20a=20specialist=20recruitment=20company=20dedicated=20=
to=20the
pharmaceutical=20industry.
=20
Kind=20Regards
Mark=20O'Brien
=20
=20
Direct=20Dial:=20=20=20020=207269=205006
Mobile:=20=20=20=20=20=20=20=20=2007921=20176225
Email:[log in to unmask]
Switchboard:=20=20020=207269=205000
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20Fax=20:=20=20020=207269=205009
Web:=20www.jamesharvard.com
=20
=20
=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
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il=20
______________________________________________________________________
=========================================================================
Date: Mon, 3 Oct 2005 11:05:40 +0100
Reply-To: "J.Zhang" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "J.Zhang" <[log in to unmask]>
Subject: Kent Stat-seminar Programme: Autumn Term 2005
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
UNIVERSITY OF KENT
Institute of Mathematics, Statistics and Actuarial Science
Statistics Seminar Programme: Autumn Term 2005
The seminars will be held on Thursdays at 2 pm in the Mathematics Lecture
Theatre, located on the ground floor of the Institute of Mathematics,
Statistics and Actuarial Science unless otherwise stated. Tea will be
available afterwards. All are welcome.
October 13 Professor Richard Law (University of York)
Spatio-temporal dynamics in plant populations and communities.
October 20 Dr Jian Qing Shi (University of Newcastle upon Tyne)
Gaussian process functional regression modelling for batch data.
October 27 Dr Paul Fearnhead (University of Lancaster)
Bayesian inference for multiple changepoint problems.
November 3 Dr Peter Neal (UMIST)
Epidemics and small world networks.
November 10 Dr Frank Dudbridge (MRC Biostatistics Unit, Cambridge)
Association analysis in nuclear families with missing genotypes.
November 17 Dr Omiros Papaspiliopoulos (University of Lancaster)
Exact simulation and estimation of diffusion processes
December 8 Dr William Browne (University of Nottingham)
Classification of SELDI-TOF data using principal components analysis,
Bayesian MCMC modelling and a deterministic 'hump' finding algorithm.
Further information is available from Jian Zhang, Institute of
Mathematics,
Statistics and Acturial Science, Cornwallis Building, University of Kent,
Canterbury, Kent CT2 7NF (Tel: 01227 823661; Email: [log in to unmask]) or
Web: http://www.kent.ac.uk/ims/research/groups/statistics/seminars.htm
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
Jian Zhang
Institute of Maths, Statistics and Actuarial Sci.
University of Kent at Canterbury
Kent CT2 7NF
UK
Tel: +44 1227 82 3661
Fax: +44 1227 82 7932
E-mail: [log in to unmask]
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
=========================================================================
Date: Mon, 3 Oct 2005 11:20:19 +0100
Reply-To: "Olhede, Sofia C" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Olhede, Sofia C" <[log in to unmask]>
Subject: Imperial College London Autumn Seminars
MIME-Version: 1.0
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Imperial College London
Department of Mathematics, Statistics Section:
=20
Statistics Seminar Programme: Autumn Term 2005
=20
The seminars will be held on Fridays at 2 or 3 pm in 139 Huxley =
building, located in the basement (http://www.ma.ic.ac.uk/findus.php ). =
Tea will be available during the break between/after the talks. All are =
welcome.
=20
October 14th 3-4 pm Dr Howard Grubb (Barclays Capital) Prediction =
intervals for long lead-time forecasting of strongly trending data - =
application to air passenger demand
4.30-5.30 pm Dr Jim Griffin (Department of Statistics, University of =
Warwick) Bayesian Nonparametric Modelling of Time Series
=20
October 21st 2-3 pm Ajay Jasra (Department of Mathematics, Imperial =
College London) Sequential Monte Carlo methods
October 28th 2-3 pm Professor Bernard Picinbono (L'universit=E9 =
Paris-Sud et =E0 Sup=E9lec) Singular Random Signals
=20
November 18th 2-3 pm Dr Stuart Barber (Department of Statistics, =
University of Leeds) Credible Bayesian wavelet shrinkage=20
3.30-4.30 pm Dr Andrew Garrett ()
=20
December 9th 2-3 pm Dr Rui Paolo (Department of Mathematics, University =
of Bristol) Default priors for Gaussian processes=20
3.30-4.30 pm Professor Peter Green (Department of Mathematics, =
University of Bristol) Aligning and matching configurations of points
Kind regards
Sofia Olhede
=20
Dr Sofia Olhede
Lecturer in Statistics
=20
Department of Mathematics
Imperial College London
SW7 2AZ London
UK
=20
Tel:+44 (0) 20 7594 8568
http://www.ma.imperial.ac.uk/~sco=20
=20
=20
=20
=20
=========================================================================
Date: Mon, 3 Oct 2005 11:32:15 +0100
Reply-To: William Browne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: William Browne <[log in to unmask]>
Subject: Statistics and Probability seminars at the University of
Nottingham Autumn 2005
Mime-Version: 1.0
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Dear All,
Please find details of the statistics seminars for the Autumn term 2005 at =
the University of Nottingham.
For this term the seminars will be in Maths/Physics room C27 at the usual t=
ime of 4pm on Thursdays.=20
Details of all talks including abstract are available at http://www.maths.n=
ott.ac.uk/seminars/Statistics.html=20
To summarise we have=20
Thursday 13th October David Firth (University of Warwick)=20
Working with over-parameterized models=20=20
Thursday 27th October Anders Skrondal (London School of Economics)=20
Multilevel and latent variable modeling of nominal responses=20=20
Thursday 3rd November RSS East Midlands Local Group: Brandon Whitcher (Gla=
xoSmithKline)=20
Diffusion Tensor Imaging: Directional Data from Magnetic Resonance Imaging=
=20=20
Thursday 10th November Kent Eskridge (University of Nebraska)=20
Designing Conjoint Choice Experiments Using Confounded Factorial Designs.=
=20=20
Thursday 24th November Pauline Coolen Schrijner (University of Durham)=20
Quasi-Stationary distributions for birth-death processes with killing=20
and
Frank Coolen (University of Durham)=20
Nonparametric predictive comparison of groups of data=20=20
Thursday 1st December Peter Green (University of Bristol)=20
Aligning and matching configurations of points=20
Regards,
Bill Browne.
Dr William Browne work phone : (0115) 9514940=20
Lecturer in Statistics home phone : (0115) 9392239
Mathematical Sciences mobile : (0779) 1577701=20
University of Nottingham=20=20=20=20=20=20=20=20=20=20
University Park E-mail : [log in to unmask]
c.uk=20
Nottingham NG7 2RD=20
web: http://www.maths.nott.ac.uk/htbin-local/staff.info?pmzwjb=20
web (MLwiN): http://multilevel.ioe.ac.uk/=20
web (Publ.): http://www.maths.nott.ac.uk/personal/pmzwjb/bill.html
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Mon, 3 Oct 2005 14:43:04 +0100
Reply-To: leah li <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: leah li <[log in to unmask]>
Subject: JOB: Statistician/research fellow (Institute of Child Health, UCL)
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UCL INSTITUTE OF CHILD HEALTH
In partnership with Great Ormond Street Hospital for Children NHS Trust
Centre for Paediatric Epidemiology and Biostatistics
Statistician / Research Fellow
Applicants are invited to join a multidisciplinary team to work on a=20
project investigating influences on obesity and associated disease=20
outcomes. The work is based on the rich longitudinal data available in the=
=20
1958 cohort, which has multiple ages of follow-up in childhood (birth and=20
ages 7, 11, 16 yr) and in adulthood (23, 33, 42, 44 yr). New data are=20
available from a 44yr biomedical survey. Information was also collected on=
=20
children of the cohort.
The post offers an excellent opportunity to explore and apply statistical=20
methods for longitudinal and family data, in relation to an important=20
public health issue. Analyses will focus on how influences on obesity have=
=20
changed across generations, and on whether the impact on cardiovascular=20
disease risk of weight gain and obesity has also changed.
The successful applicant will have a postgraduate qualification (or=20
equivalent) in one of the following: statistics, epidemiology, nutrition,=20
public health, or another subject relevant to this research. It is expected=
=20
that applicants will have good working knowledge of statistical methods and=
=20
packages (e.g. SAS, STATA). Experience of analysis of large datasets and of=
=20
working within biostatistics or epidemiology is desirable.
This full-time position is for three years starting as soon as possible.=20
Starting salary will be on the Research Fellow salary scale (=A324,689 per=
=20
annum inclusive of London Weighting).
Informal enquiries may be made to Prof Chris Power on 020 7905 2106=20
(<mailto:[log in to unmask]>[log in to unmask]) or Dr Leah Li on 020=
=20
7813 8393 (<mailto:[log in to unmask]>[log in to unmask]).
A job description and application details can be obtained by referring to=20
our web site=20
<http://www.ich.ucl.ac.uk/ich/html/humanresources/jobs.html>http://www.ich.u=
cl.ac.uk/ich/html/humanresources/jobs.html.=20
Alternatively, you may wish to email=20
<mailto:[log in to unmask]>[log in to unmask] or send a=20
stamped, self-addressed A4 envelope to Human Resources Department,=20
Institute of Child Health, 30 Guilford Street, London WC1N 1EH. Please=20
quote job reference CFL/05/47.
Closing date for applications is Monday 10th October 2005 by 5pm.
Interview dates are likely to be held on 19th or 21st October 2005.
Any offer of employment will be subject to a satisfactory criminal records=
=20
check.
UCL Taking Action for Equality
=========================================================================
Date: Mon, 3 Oct 2005 18:24:33 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Senior Biostatistician II
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
Senior Biostatistician II
=20
Salary: GBP 32 - 42k=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom=20
=20
Background:=20
=20
Co ordinate and develop analysis plans. Advise DM with respect to
database design, validation checks and key data. Set and maintain
professional statistical and programming standards. Perform expert
review of statistical outputs. Understand regulatory statistical
guidelines/development. Assist in the proactive recruitment of new
staff. Identify new business opportunities for existing customers.
Understand scope of work and provide revised costs. Ensure project
milestones are met to agreed timelines. Perform broad project management
role for a single study.=20
=20
Primary Duties:=20
=20
When mutually agreed work at customer sites on occasions. Induct new
staff. Maintain project files in a timely and appropriate manner.
Authorise project expenses. Perform other such duties as are reasonable
requested by line management.=20
=20
Qualifications:=20
=20
BSc or Msc with at least 5 years experience.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
Please quote reference attaching an up to date CV 'CI-4055'.=20
=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask]
<mailto:[log in to unmask]> =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Mon, 3 Oct 2005 18:29:54 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Statistical Consultant
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: Statistical Consultant
=20
Salary: GBP 40-45ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a Statistical expert with 5+yrs experience in the
clinical sector to join a small team on CNS projects. The role will be
of an initial 12 months. Please contact me for full details for full
details on client role and location.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date CV quoting the reference 'grv-4051'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 3 Oct 2005 18:31:09 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Associate Director of Biostatistics
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Associate Director of Biostatistics
=20
Salary: GBP50-60k=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: United Kingdom - South=20
=20
Background:=20
=20
Local responsibility for creating and implementing training plans for
Biometrics. Local responsibility for ensuring performance management,
assignment of objectives and the training and development of staff.
Collaborate on development, implementation and maintenance of
performance and quality metrics. Local oversight of Biometrics vendors.=20
=20
Primary Duties:=20
=20
Establish and implements operational objectives. Collaborate with Senior
Biometrics Leadership on the development and implementation of long term
strategies. Review and approve promotions and salary reviews for staff.
Communicate company and departmental policies. Review resource needs.
Ensure revenue and operating margin performance. Establish and maintain
client relationships. Support business development and implementation of
global standard Biometrics processes. Mentor supervisory staff.=20
=20
Qualifications:=20
=20
University degree is required. Fluent in English, both written and
verbal. Strong presentation skills. Thorough knowledge of effective
biostatistics or statistical programming practices. Demonstrated ability
to inspire effective teamwork. Strong managerial and interpersonal
skills. Full understanding of the roles within the department.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date CV quoting the reference 'CI-4045'.=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] <mailto:[log in to unmask]>
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Mon, 3 Oct 2005 18:32:05 +0100
Reply-To: "J.Zhang" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "J.Zhang" <[log in to unmask]>
Subject: A change in Kent-Seminar programme
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
The seminar of Dr Frank Dudbridge on Nov 10 has been rescheduled to Nov
24.
Cheers.
Jian Zhang
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
Institute of Maths, Statistics and Actuarial Sci.
University of Kent at Canterbury
Kent CT2 7NF
UK
Tel: +44 1227 82 3661
Fax: +44 1227 82 7932
E-mail: [log in to unmask]
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
=========================================================================
Date: Tue, 4 Oct 2005 09:55:26 +0100
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: CAMBRIDGE STATISTICS DISCUSSION GROUP MEETING Tonight
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FINAL REMINDER:
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Tuesday 4th October 2005 7:15 for 7:45
Large Lecture Theatre,
Cognition and Brain Sciences Unit,
Chaucer Road, Cambridge
Bayesian methods for Population Ecology
Steve Brooks
Statistical Laboratory
University of Cambridge
Abstract:
The Bayesian revolution has been slow to take off in the ecological
literature, but there are many advantages to adopting these powerful new
statistical methods. In this talk we will highlight some of the important
ecological issues that have been addressed using Bayesian computational
techniques and highlight the advantages and challenges in using them.
The talk will be illustrated by a number of cases studies incorporating
recent and current research.
Speaker:
Steve graduated in mathematics at Bristol in 1991 before taking a Masters
degree in Statistics at the University of Kent. He stayed on at Kent
for a year as a Research Assistant, under the supervision of Professor Byron
Morgan. During that year (1992-93) Steve helped set up The Minitab Macro
Library and produced a number of papers.
After leaving Kent, he joined the Statistical Laboratory at the University of
Cambridge. There he studied for a PhD on Markov Chain Monte Carlo Methods,
under the supervision of Prof. Gareth Roberts. Whilst at Cambridge, he wrote a
couple of papers on MCMC. Since graduating, Steve has been a member of
the Statistics Groups at Bristol and Surrey universities and is now back
at the Statistical Laboratory in Cambridge. In 1999 Steve was awarded the
Royal Statistical Society's Research prize.
Research interests focus upon the development and application of
computationally intensive methods in Statistics. Application areas include
archaeology, biology, ecology, epidemiology, economics and engineering.
Annual General Meeting: Steve's talk will be preceded by a brief
Annual General Meeting.
Directions: Chaucer Road is off Trumpington Road - if you are heading
away from the city centre it is the first right after the junction
with Brooklands Avenue. Number 15 is at the end on the left and is a
large Victorian House with a more modern extension to its right.
The entrance is in the porch located in the middle of the older section on
the left as you come in and is accessed by ascending a few steps from the
car park. Cars may be parked there. The outside door will be locked at 7:45.
Arrivals after 7:45 may gain admittance admittance by contacting the
secretary on 07761769436.
Next Meeting:
30th November - Joe Perry, Suzanne Clark (Rothamstead) & Peter Rothery (CEH)
on 'Design of experiments and analysis of data concerning GM crops'.
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 5-45pm. Feel free to join them.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;
E-mail [log in to unmask]
FOR SECURITY PURPOSES COULD ANYONE INTENDING TO ATTEND THE MEETING PLEASE
LET PETER WATSON KNOW.
=========================================================================
Date: Tue, 4 Oct 2005 10:29:28 +0100
Reply-To: A T Prevost <[log in to unmask]>
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<[log in to unmask]>
From: A T Prevost <[log in to unmask]>
Subject: CONFERENCE
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This is sent on behalf of the conference committee. Contact details are
given at the bottom of this message.
CONFERENCE
'Behavioural Medicine: Can it help improve health and health care?'
The UK Society of Behavioural Medicine
Thursday 3 November 2005 at the Kings Fund Conference Centre, London
Calling all clinicians, public health physicians, epidemiologists, =
health
psychologists, medical sociologists, health economists and =
statisticians
interested in behavioural medicine!
Behavioural Medicine is an interdisciplinary field concerned with:
* The development and integration of environmental, behavioural and
biomedical knowledge relevant to health and disease=20
* The application of this knowledge to prevention, treatment and
rehabilitation=20
UK SBM brings together for the first time in the UK the broad range of
disciplines that contribute to achieving these broad objectives. This
conference will include:
DISCUSSION AND DEBATE
"Thirty years of behavioural medicine and this is all you can offer me" =
Dr
Mike Chester (Director, National Refractory Angina Centre at Liverpool) =
in
conversation with Professor Bob Lewin (Clinical Psychologist and =
Professor
of Rehabilitation, University of York); chaired by Dr Roger Boyle CBE,
National Director of Heart Disease.
"The impact of the New Contract for General Practitioners: Can =
incentivising
cats help herding?" Alan Maynard (Professor of Health Economics, =
University
of York) in debate with Professor Martin Roland (Director, National =
Primary
Care Research & Development Centre)
INTERACTIVE WORKSHOPS
Public health and health promotion
* Determinants of health behaviour: an epidemiological perspective
* Implementing computerised tailored interventions for smoking =
cessation in
primary care
Chronic disease management
* Concordance, compliance and adherence in medicine taking
* New approaches to studying adherence behaviour in chronic illness
* Managing pre-diabetes and promoting lifestyle change in pre-diabetic
patients
Professional practice and organisation of care
* Conducting theory based process evaluations alongside randomised
controlled trials of professional behaviour change interventions
Advancing theory
* Behaviour change interventions: Developing a classification system
=A350 for members of the UK SBM and students; =A370 for non-members
To reserve a place email Nicola Anthony at [log in to unmask] =
A
downloadable booking form is available from our website: =
www.uksbm.org.uk
=========================================================================
Date: Tue, 4 Oct 2005 10:52:08 +0100
Reply-To: Medical Stats Advice <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Medical Stats Advice <[log in to unmask]>
Organization: The University of Manchester, UK
Subject: Seminar Reminder
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ROYAL STATISTICAL
SOCIETY
MANCHESTER LOCAL GROUP
A joint meeting with the Manchester Biostatistics
group on the theme
Bioinformatics
Wednesday 12th October 2005
NICK FIELLER
Gene Expression and Annotation
This talk will cover the statistical analysis of various forms of oligonu=
cleotide
microarrays, involving very high dimensional data with limited numbers of=
observations and poor replication, using =91annotation=92 (information on=
the genes
which could play a dual role in the analysis), and citations relating gen=
es to a
Medical Subject Heading.
TOM NYE
Uncovering evolutionary history: new methods for inferring
phylogenies
Evolutionary relationships between species can be represented by a
phylogenetic tree, and there are a range of different statistical methods=
available for inferring the phylogeny of a set of species given their DNA=
sequences. We present an introduction to this area and look in more detai=
l at a
new distance-matrix method.
MAGNUS RATTRAY
Propagating Measurement Uncertainty in Microarray Data Analysis
Microarrays, e.g. oligonucleotide arrays. can be used to simultaneously
measure the concentration of many species of RNA molecules within a sampl=
e
derived from a tissue of interest, but with many sources of experimental
uncertainty and noise. In this talk I will discuss approaches for dealing=
with this
uncertainty.
Venue: MANDEC (Manchester Dental Education Centre)
Higher Cambridge Street, Manchester.
Time: 2.00pm - 5.00pm (tea will be served about mid-
afternoon)
ALL ARE MOST WELCOME TO ATTEND!
Please e-mail Wendy Lamb ([log in to unmask]) if you will be
attending.
=========================================================================
Date: Tue, 4 Oct 2005 11:20:24 +0100
Reply-To: Claus Mayer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Claus Mayer <[log in to unmask]>
Subject: REMINDER: RSS Local Highlands Seminar, Adam Butler, Tomorrow!
Comments: To: "[log in to unmask]" <[log in to unmask]>
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Dear all!
The RSS Highlands Local Group would like to invite you for its first
meeting 2005/2006 (details are given below).
Regards,
Claus (RSS HLG Secretary)
-------------------------------------------------------------------------------------------------------------------
TITLE: Extreme value theory, climate change and coastal flood risk
SPEAKER: Adam Butler (Biomathematics & Statistics Scotland, Edinburgh)
DATE: Wednesday 5/10/2005
TIME: 4:00 pm (Tea from 3:30 pm)
VENUE: Grampian Room, Macaulay Institute, Craigiebuckler, Aberdeen
(maps on http://www.macaulay.ac.uk/contact/index.html)
ABSTRACT:
A number of scientific studies have suggested that climate change may be
altering the frequency and magnitude of storms in the North Atlantic.
Severe floods along the coastlines of the North Sea are typically
associated with storm surges, so that any change in storm behaviour
could be expected to have an impact upon coastal flood risk.
We have used novel statistical models from the area of extreme value
theory to analyse trends in storm surge levels over the past fifty
years, and in this talk we give a broad overview of both the statistical
methods and the oceanographic findings. We will assume no prior
knowledge of extreme value theory, and will attempt throughout to
demonstrate the wider applicability of extreme value methods within the
environmental sciences.
--
***********************************************************************************
Claus-D. Mayer | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: [log in to unmask]
Rowett Research Institute | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
***********************************************************************************
=========================================================================
Date: Tue, 4 Oct 2005 12:22:47 +0100
Reply-To: "Hutchinson, Sharon" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Hutchinson, Sharon" <[log in to unmask]>
Subject: JOB: Statistician at Health Protection Scotland in Glasgow
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STATISTICIAN / INFORMATION ANALYST
=A326,271 - =A330,733=20
Fixed term or secondment for 2 years
Health Protection Scotland is committed to work in partnership with other=
s,
to protect the Scottish public from being exposed to hazards which damage=
their health, and to limit any impact on health when such exposures occur=
=2E
The Blood Borne Virus and Sexually Transmitted Infection (BBV&STI) Sectio=
n
provides expert advice and support on all aspects of BBV and STI work in
NHSScotland and provides the necessary surveillance systems for the
monitoring of BBVs.
The BBV&STI Section are seeking to recruit an Information
Analyst/Statistician to work on a 2 year project which will involve the
development of models to (i) estimate the cost of the current and future
heathcare burden associated with the Hepatitis C virus (HCV) in Scotland =
and
(ii) determine the cost-effectiveness of different HCV screening approach=
es,
designed to detect infected persons most in need of antiviral therapy. Th=
is
high-profile project will inform those planning and delivering HCV servic=
es
with a comprehensive appreciation of Scotland's burden of HCV-related
disease, including the relative cost-effectiveness of different approache=
s
to identifying, and then managing, infected persons.
The ideal candidate will have a good Mathematics or Statistics first degr=
ee.
A PhD or equivalent research experience in a relevant field of study is
essential. The postholder must have experience of implementing research
projects in a relevant subject area along with highly developed programmi=
ng
and analytical skills. Experience of preparing and presenting reports/pap=
ers
for publication is essential. Experience in infectious disease epidemiolo=
gy
and/or economic analysis would be an advantage.=20
For an informal discussion about the post, please telephone Sharon
Hutchinson on 0141 300 1138.
An Application Pack and Job Description is available from the HR Departme=
nt
at HPS, Clifton House, Clifton Place, Glasgow by calling 0141 300 1197 (2=
4
hours) or by emailing [log in to unmask]
<mailto:[log in to unmask]>.=20
Please quote reference: HPS 23A. Closing date: Friday 21st October 2005=
=2E
Please note CVs will not be accepted. =20
_________________________________________________________________=20
NHS National Services Scotland Disclaimer=20
The information contained in this message may be confidential or=20
legally privileged and is intended for the addressee only. If you have=20=
received this message in error or there are any problems please notify th=
e=20
originator immediately. The unauthorised use, disclosure, copying or=20
alteration of this message is strictly forbidden.=20
_________________________________________________________________=20
=========================================================================
Date: Tue, 4 Oct 2005 13:41:45 +0100
Reply-To: "Maynard, Trevor" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Maynard, Trevor" <[log in to unmask]>
Subject: QUERY What software do you use.
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This is my first posting to the mailing list. I hope I havent broken
any rules! Your help with the question below would be appreciated.
In 2004, GIRO (The General Insurance Research Organisation, of the
Institute and Faculty of Actuaries) established a Working Party titled
"A Maths Toolkit for Actuaries". James Orr and Trevor Maynard worked on
this group and produced a "Part I" paper for the 2005 GIRO conference,
with the intention of produced a "Part II" update paper in October.
In this respect We have been considering the training of Fellows and the
means by which their technical knowledge and effectiveness can be kept
up to date and enhanced. We believe that there are many interesting and
powerful software packages available today, such as the freeware package
"R", which many Fellows may not be aware of and which could help them in
their working life.
As you subscibe to this statistical mail service we are hoping you make
use of such software day to day and we should therefore be most grateful
if you could take a few minutes to answer the following question.
QUESTION: What are the main software packages that you use? Please
include a short description, if it is not a mainstream package; an
internet link would be very useful!
Please could you email me with your response.
Thanks,
Trevor
--
Trevor Maynard
Actuary
Lloyd's Loss Modelling
Telephone +44 (0)20 7327 6141
www.lloyds.com <http://www.lloyds.com/>
************LNSCNTMCS01***************************************************
The information in this E-Mail and in any attachments is CONFIDENTIAL and may be privileged. If you are NOT the intended recipient, please destroy this message and notify the sender immediately. You should NOT retain, copy or use this E-mail for any purpose, nor disclose all or any part of its contents to any other person or persons.
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Lloyd's may monitor the content of E-mails sent and received via its
network for viruses or unauthorised use and for other lawful
business purposes."
Lloyd's is authorised under the Financial Services and Markets Act 2000
********************************************************************************
=========================================================================
Date: Tue, 4 Oct 2005 17:00:00 +0100
Reply-To: Trevor Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Trevor Sweeting <[log in to unmask]>
Subject: ANNOUNCE: RSS October Ordinary Meeting
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Ordinary meeting of the Royal Statistical Society organized by the
Research Section
Wednesday, October 12th, 2005 at 5pm (tea from 4:30pm)
Venue: Royal Statistical Society, 12 Errol St, London WC1Y 8LX
A. Beskos, O. Papaspiliopoulos, G. O. Roberts and P. Fearnhead
(Lancaster University)
Exact and computationally efficient likelihood-based estimation for
discretely observed diffusion processes
The objective of this paper is to present a novel methodology for
likelihood-based inference for discretely observed diffusions. We
propose Monte Carlo methods, which build on recent advances on the exact
simulation of diffusions, for performing maximum likelihood and Bayesian
estimation.
You can download/view a PDF copy of this paper at
http://www.rss.org.uk/main.asp?page=1836
--------------------------------------------
Professor Trevor J Sweeting
Department of Statistical Science,
University College London,
Gower Street,
London, WC1E 6BT
U.K.
Tel. No. +44 (0)20 7679 1865
Fax: +44 (0)20 7383 4703
Email: [log in to unmask]
World-Wide Web: http://www.ucl.ac.uk/Stats/
=========================================================================
Date: Tue, 4 Oct 2005 12:49:55 -0400
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: Design of Clinical Trials (online course)
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Dr. Vance Berger will present his online short course =93Clinical Trial=20
Design=94 Oct. 21 =96 Nov. 18 at statistics.com.
This course covers the essential concepts required to design rigorous=20
randomized trials so as to ensure valid treatment comparisons. The nature=20
and objectives of randomization are discussed, as are masking, allocation=20
concealment, blocking, stratification, dynamic randomization, and the=20
various types of selection bias that can arise. In addition, we cover=20
analysis techniques that can be used to salvage reliable treatment=20
comparisons even if some of these selection biases are detected. These=20
methods are more advanced, and involve adaptations of the propensity score.
Dr. Berger, the author of Selection Bias and Covariate Imbalances in=20
Randomized Clinical Trials (John Wiley and Sons, 2005), serves on the=20
adjunct faculty of the University of Maryland Baltimore County. He has also=
=20
taught in the past at Rutgers University and the Johns Hopkins University=20
School of Public Health, and has served as an FDA reviewer for over four=20
years.
There are no set hours when you must be online, and you can interact with=20
the instructor over a period of 4 weeks via a private discussion board. We=
=20
estimate you will need about 10 hours per week. Registration and=20
details: =
http://www.statistics.com/content/courses/clinicaltrials/index.html .
Peter Bruce
=========================================================================
Date: Tue, 4 Oct 2005 13:45:39 -0400
Reply-To: "Alan E. Dunne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Alan E. Dunne" <[log in to unmask]>
Subject: Query: Including division-by-zero ratios in calculation
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With Respect
I am comparing two measurements of one set of items(cases). Two =
sample members are not processed by the computer because one of the =
measurements, which is a ratio, has a "division by zero" value for them. =
This does make them the extreme values at one end of this measurement, =
and they are also the two most extreme values at one end on the other =
measurement. Excluding them may therefore lead to underestimating the =
correlation between the two measurements.
I am using StatsDirect.
Any suggestions?
Yours Truly,
Alan E. Dunne
=========================================================================
Date: Tue, 4 Oct 2005 20:44:55 +0100
Reply-To: Jeremy Miles <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jeremy Miles <[log in to unmask]>
Subject: ANNOUNCE: Brit Psych Soc Maths Stats & Computing Conference
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British Psychological Society
Mathematical, Statistical and Computing Section
Annual Meeting and AGM
10 December 2005
Attendance Free - All Welcome
BPS London Offices, 33 John Street, London, WC1N 2AT
Scientific Meeting
The Scientific Meeting will commence at 10.30 am, followed by the Annual
General Meeting. Each research presentation will be allocated 30
minutes, including questions.
Call For Papers
Submissions for papers are invited for this Scientific Meeting. Papers,
representing both theoretical and substantive applications, are welcome.
Closing date for submissions is 18 November 2005.
Papers should be submitted to: Prof. Brendan Bunting, School of
Psychology, University of Ulster, Magee Campus, Northland Road,
Londonderry, BT487JL.
Tel: 02871 375295. email: [log in to unmask]
Location and Travel
The BPS London Office is located in Central London within easy reach of
mainline stations. A map and directions can be obtained from:
http://www.bps.org.uk/the-society/maps/maps_home.cfm
AGM
The Mathematical, Statistical and Computing Section AGM will be held at
4.30pm.
--
Jeremy Miles
mailto:[log in to unmask] http://www-users.york.ac.uk/~jnvm1/
Dept of Health Sciences (Area 4), University of York, York, YO10 5DD
Phone: 01904 321375 Mobile: 07941 228018 Fax 01904 321320
=========================================================================
Date: Wed, 5 Oct 2005 10:50:18 +1300
Reply-To: Paul Barrett <[log in to unmask]>
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<[log in to unmask]>
From: Paul Barrett <[log in to unmask]>
Subject: Testing non-nested regression Rsquares
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Hello
Does anyone have a reference or simple formula for a test of significance
for examining the improvement in Rsquare fit between say a simple linear
regression and a break-point (segmented) regression? I am assuming this is
a non-nested regression problem and so not suited to the usual F-ratio test
for nested regressions?
Thanks .. Paul
_________________________________________________________________
Paul Barrett Tel: +64 (0)9-373-7599 x82143 Mob: 021-415625
Adjunct Professor of Psychometrics, University of Auckland, NZ
Adjunct Assoc. Prof. of Psychology, University of Canterbury, NZ
email: [log in to unmask]
[log in to unmask]
[log in to unmask]
web: www.pbarrett.net
=========================================================================
Date: Wed, 5 Oct 2005 10:40:53 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Job: Senior Statistical Analyst with CHAID required in West
Yorkshire!
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Hello All,
Our client, a rapidly growing Marketing Insight Consultancy company based=20
in Leeds is seeking a Senior Statistical Consultant to play a vital role=20
in managing and conducting analysis on their major research projects.=20
You will have a degree in a Statistical, Economic or Numerical discipline=20
at grade 2:1 or above with a minimum of 3 years experience working as a=20
Marketing Analyst, Senior Analyst or Statistical Consultant. Experience=20
using SAS, SPSS, S-Plus or other Statistical Packages are desirable along=20
with a good working knowledge of Statistical Techniques such as CHAID,=20
Conjoint, Segmentation Analysis or Regression Modelling.=20
This is an exciting opportunity for someone looking to take the next step=20
in their career or someone who seeks a new challenge. Excellent=20
communication skills are essential as you will be presenting your findings=20
to external clients. To work alongside some of the brightest Analytical=20
minds in UK insight apply here! Salary =A335K plus excellent benefits.
Location: West Yorkshire
Salary: =A335K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/8964/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 5 Oct 2005 16:41:39 +0300
Reply-To: Kari Auranen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kari Auranen <[log in to unmask]>
Subject: JOBS (Reminder): Two posts in infectious disease
modelling/biostatistics
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REMINDER: TWO SENIOR POSTS IN INFECTIOUS DISEASE MODELLING/BIOSTATISTICS
National Public Health Institute (KTL), Finland
A new collaborative "PneumoCarr" project between eight leading research
groups of pneumococcal infections will begin in the autumn 2005.
The project is funded by the Grand Challenges in Global Health
initiative
and co-ordinated by the Department of Vaccines at the National Public
Health
Institute (KTL), Helsinki, Finland.
The project aims to develop and validate models on pneumococcal
colonisation and vaccination effects, based on the extensive
longitudinal
data sets gathered by the research partners. The ultimate goal of the
project is to establish measurement of colonisation as a central
component
in evaluating the clinical effectiveness of pneumococcal conjugate
vaccines and vaccination programs. This requires up-to-date modelling
of data on pneumococcal carriage and immuno-responses to carriage.
We have a vacancy for a senior biostatistician/infectious disease
modeller
to work in the PneumoCarr project. The role of the senior researcher is
to promote,
coordinate and conduct research during the 5-year project. The project
offers researchers with broad range of methodologies a unique
opportunity
to combine extensive data sets, data analysis and infectious disease
modelling. Methods in Bayesian data analysis will be employed and
developed in the project. In addition to the senior researcher,
the team will include three other statisticians and the overall
scientific team at KTL, Helsinki.
We are looking for a senior researcher, with experience in the analysis
of
infectious disease data and/or modelling of infectious diseases,
experience of
working with large datasets, familiarity with public health and
epidemiology
and a proven track record in publications in relevant areas. The
appointment
will be up to five years, with monthly salaries 2416 - 4290 euros (+
pension
and health insurances), depending on qualifications and experience.
The work should be started as soon as possible in the spring term of
2006.
Applications should be sent to KTL by mail (National Public Health
Institute, Kirjaamo, Mannerheimintie 166, 00300 Helsinki, Finland) or by
e-mail ([log in to unmask]), with reference "GC/KTL". The application
should
contain at least a brief introduction to the applicant, a CV (max 3
pages)
and a list of publications. The closing date for the applications is
15 December 2005. Further information is available from
[log in to unmask]
or [log in to unmask]
KTL reserves the right to make no appointment or to fill the
position by invitation at any stage.
=========================================================================
Date: Wed, 5 Oct 2005 08:38:37 -0500
Reply-To: "Dunnigan, Keith" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Dunnigan, Keith" <[log in to unmask]>
Subject: FW: Reference for Samp Size forTOST bioequiv in a parallel design
MIME-Version: 1.0
Content-Type: text/plain
> Hi all,
>
> I wondered if someone could give me a reference for a sample size
> calculation?
>
> I am doing a standard bioequivalence using the TOST (log transformed
> data), but the design in this case will be a simple one period parallel
> study rather than the standard two period crossover usually used for
> bioequivalence.
>
> Thanks so much for any help!
>
> Keith Dunnigan
> Statistician
> Tyco Healthcare / Mallinckrodt
=========================================================================
Date: Wed, 5 Oct 2005 16:11:40 +0100
Reply-To: PETER HUDSON <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: PETER HUDSON <[log in to unmask]>
Subject: Non-parametric sample-size calculation
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Dear Allstat
According to published data, the median concentration of a substance in =
blood was 306, with first and 3rd quartiles 207 and 423. The raw data =
are not published. We hypothesise that this concentration will double =
in a particular condition. How many patients & controls do we need? We =
would plan on using a Mann-Whitney test. The median is not equidistant =
between quartiles, so I don't know whether it's a good idea to =
guesstimate a mean & standard deviation, do a standard power calculation =
and inflate the sample size according to the asymptotic relative =
efficiency of the Mann Whitney.
Best wishes
Peter Hudson
Dr. Peter R. Hudson
Dept. of Biochemistry
Maelor Hospital
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Tel 01978 725867
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Date: Wed, 5 Oct 2005 16:19:16 +0100
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
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From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Conference: Measuring Government outputs and productivity
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Measuring government outputs and productivity=20
One-day Conference (jointly organised by the RSS and NIESR)
03 November 2005
09:30 - 16:45 (Registration includes lunch and refreshments)=20
At the Royal Statistical Society, 12 Errol St, London EC1Y 8LX =20
=20
Sir Tony Atkinson has recently made wide-ranging recommendations on the
measurement in the National Accounts of the output and productivity of
the public services. The purpose of this conference, organised jointly
with NIESR, is to discuss these recommendations, to examine the
methodological and practical challenges to measuring government output
and productivity, and to explore promising directions for future work.=20
=20
The Conference is likely to be of interest to government statisticians
and economists, to researchers with an interest in public service
performance, and to policy makers and commentators concerned with public
service accountability.=20
Talks include:=20
=20
Welcome and introduction TIM HOLT (RSS President)=20
Overview of recommendations SIR TONY ATKINSON=20
Recent developments at ONS JOE GRICE (ONS)=20
Measuring outputs: methodological issues MARTIN WEALE (NIESR)=20
Valuing what citizens want from public services using discrete choice
experiments MANDY RYAN (University of Aberdeen)=20
Measuring the value of life CAM DONALDSON (University of
Newcastle)=20
Measuring health output ANDY STREET (University of York)
Measuring criminal justice output STEPHEN ALMOND (Home
Office)=20
Measuring social services output ANNE NETTEN (University of Kent)
International perspectives on measuring government performance PETER
SCHERER (OECD)=20
A registration form can be downloaded from
http://www.rss.org.uk/main.asp?group=3D&page=3D1321&event=3D182&month=3D1=
1&year=3D
2005&date=3D
Details of the recommendations on measuring public service productivity
can be found at
www.statistics.gov.uk/about/data/methodology/specific/PublicSector/atkin
son/default.asp=20
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
Join the Royal Statistical Society today. For more details go to
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=========================================================================
Date: Wed, 5 Oct 2005 17:40:50 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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From: Margaret MacDougall <[log in to unmask]>
Subject: Multiple comparisons tests
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Can anyone kindly advise me on the appropriate use of post-hoc multiple comparisons tests in SPSS to go alongside any of the following tests:
a) the Kruskal-Wallis test
and
b) Friedman's test
Also, if anyone can advise on good references to consult for deciding on which multiple comparisons tests are suitable for different study designs, I would be most grateful. Much of the web-based material which I have consulted omits to discuss whether it is a parametric or a non-parametric test which has been already carried out and whether that test is for a within-subjects or a between-subjects ANOVA.
Many thanks
Best wishes
Margaret
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Date: Wed, 5 Oct 2005 17:55:01 +0100
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From: George Vernon <[log in to unmask]>
Subject: JOB: Biostatistician III
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Biostatistician III
=20
Salary: 30k-35k euros=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: Ireland=20
=20
Background:=20
=20
Perform protocol development/sample size calculations and protocol/CRF
review. Prepare randomisation schema. Develop analysis plans. Perform
data review & statistical analyses. Co-ordinate and produce tables,
listings and figures. Perform independent QC. Write statistical sections
for integrated reports. Advise DM with respect to database design,
validation checks and key data.=20
=20
Qualifications:=20
=20
MSc with two years of relevant experience or BSc with three years of
relevant experience.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
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To apply, please complete the online application or contact us for
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Date: Thu, 6 Oct 2005 09:50:34 +1300
Reply-To: Paul Barrett <[log in to unmask]>
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From: Paul Barrett <[log in to unmask]>
Subject: Testing Competing Regression Models
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Hello again
Many, many thanks to all who responded to my request yesterday .. With the
subject title: "Testing non-nested regression Rsquares". I received about
10 responses in all - which is impressive.
Short answer is that the problem as defined might indeed be conceived of as
a nested regression issue, along with the secondary proposition that the
AIC or BIC information indices might also be worth using in this context,
and the third suggestion to use a bootstrap approach to develop empirical
thresholds for significance.
I've posted some of the key replies below which elaborate on each of these
approaches: I've not posted names etc. in order to assure confidentiality
...
One book I found most useful - in fact absolutely riveting frankly - was:
Burnham, K.P. and Anderson, D.R. (2003) Model Selection and Multimodel
Inference: A Practical Information-Theoretic Approach 2nd Edition. New
York: Springer. ISBN: 0-387-95364-7
-Reply #1-
This actually a "nonlinear" regression problem, so I'm not surprised at the
confusion. My research field, so I've done this alot, esp with
econometrics application, where it is popular. Are you using SAS/
Here's the model, where K is the unknown transition point,
for X < K, E(Y) = b0 + b1*X
for X > K, E(Y) = g0 + g1*X, where g0 = b0 + (b1 - g1)*K
That's the Full model.
The Reduced model is just a line (E(Y) = b0 + b1*X),
then put the SSE's into the usual formula.
The Full model has 4 unknown parameters, the reduced one has just two.
-Reply #2-
A simple linear regression is indeed nested in a split-line or break-point
regression:
1. E(y) = a + b.x
2. E(y) = a + b.x + c.x.(x>d), where d is the break-point, and c is the
change in slope
Thus the MS associated with the difference, divided by the residual MS,
should have an F statistic with (2, r) d.f., where r is the number of
residual d.f.
-Reply #3-
So long as the predictor (X) variable is the same, I think the break-point
model can be considered a more elaborate version of the simple regression
(or the simple regression is the same as a breakpoint regrssion where the
gradients in the two segments are constrained to be the same); the break
point model has added one or two extra parameters (one if the location of
the breakpoint is fixed, two if you are estimating it from the data)
For comparing non-nested regression models you can use the Adjusted
R-square, Akaike's Information Criterion (AIC), or Mallow's Cp (Hmm, what
would be a good reference? Draper & Smith, Applied Regression Analysis,
Wiley, covers Cp and Adjusted R-Square) Not sure if there are any formal
*tests* for these or not.
-Reply #4-
I'm not so sure this is non-nested. If the slopes of all the line segments
are the same then the break-point model becomes the same as the linear
regression model. Therefore it's nested, surely? Slightly more tricky is
the change in df but i guess 2 per break-point if you're allowing x as well
as y position of the break-point(s) to be fitted to the data.
-Reply #5-
I think that the answer will depend very much on the form of the second
model, if the first is -- as in your example -- the simpler. Standard
properties of tests (eg LR tests) will not apply in the context of a
break-point (segmented) regression, assuming that the break-point parameter
is estimated. (If given, then standard Rsquare applies because the model
can be fit as linear regression with an added covariate.)A general approach
would be to use a bootstrap evaluation of significance, essentially
simulating data from the null fitted model.
-Reply #6-
This is not possible for separate families of hypotheses.
See the paper
Williams, D.A. -1970 -Discriminating between regression models to
determine the pattern of enzyme syntheses in synchronous cell cultures.
Biometrics 28, 23-32
It deals with your problem using what is now called parametric bootstrap.
For a review and recente refences in nonnested models look
Separated families of hypotheses, vol 7 of Encyclopedia of Biostatistics
pg 4881-4886
Once again, many thanks to all who responded ...
Regards .. Paul
_________________________________________________________________
Paul Barrett Tel: +64 (0)9-373-7599 x82143 Mob: 021-415625
Adjunct Professor of Psychometrics, University of Auckland, NZ
Adjunct Assoc. Prof. of Psychology, University of Canterbury, NZ
email: [log in to unmask]
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web: www.pbarrett.net
=========================================================================
Date: Thu, 6 Oct 2005 12:35:14 +0100
Reply-To: Colin Aitken <[log in to unmask]>
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From: Colin Aitken <[log in to unmask]>
Subject: JOB - forensic statistics, Edinburgh University
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RESEARCH POST IN FORENSIC STATISTICS, THE UNIVERSITY OF EDINBURGH.
Applications are invited for a post-doctoral research post in forensic=20
statistics within the School of Mathematics, and as part of the Joseph=20
Bell Centre for Forensic Statistics and Legal Reasoning, to research and=20
develop robust procedures for the evaluation of evidence for=20
multivariate models with different structures in addition to continuous=20
variables and in the absence of population data. Applicants should have=20
a good Honours degree in a mathematical subject and a PhD in statistics=20
or related subjects. The post is funded by the EPSRC programme in=20
=91Technologies for crime prevention and detection=92 with Professor C.G.=
G.=20
Aitken as the Principal Investigator and Mr. Burkhard Schafer (Law) as=20
co-investigator. The research will be in collaboration with Forensic=20
Alliance, an independent UK supplier of forensic solutions.
Because of the resignation of a research assistant on another forensic=20
statistics project, there is also a vacancy for a nine-month position.=20
Applicants for the 22-month position may also be considered for the=20
nine-month position if they wish.
Informal enquiries about the position may be made to Professor C.G.G=20
Aitken: telephone 0131 650 4877, fax 0131 650 6553 or e-mail=20
[log in to unmask]
Fixed term:* *22 months (available from 1^st January 2006)
Salary:* *=A321,640 p.a. (under review)
Closing date: * *28th October 2005
Further information about the post and the School is available at=20
http://www.maths.ed.ac.uk <http://www.maths.ed.ac.uk/> (click on =93Job=20
vacancies=94 for further details about the position and online applicatio=
n=20
procedures). Alternatively, phone the recruitment line 0131 650 2511.
Please quote reference 3005096.
Please bring this opportunity to the attention of anyone whom you think=20
may be interested.
Colin Aitken.
--=20
C.G.G. Aitken,
School of Mathematics, Phone: (0)131 650 4877
The King's Buildings, Fax: (0)131 650 6553
The University of Edinburgh, EH9 3JZ. E-mail: [log in to unmask]
Scotland. http://www.maths.ed.ac.uk/~cgga
=========================================================================
Date: Thu, 6 Oct 2005 15:09:27 +0100
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From: Andrew McMullan <[log in to unmask]>
Subject: Announce: Day Break Courses
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>The Mathematics, Statistics and OR network of the Higher Education Academy=
=20
>is about to set up the fourth years=92 programme of Day Break Courses:=20
>wide-ranging half-day and full-day regional courses and workshops for=20
>University staff in Mathematics, Statistics and OR, for research=20
>scientists and for postgraduate students =96 with the aims of
>
>
> * reinforcing basic technical knowledge and skills;
> * bringing new research developments into teaching;
> * improving classroom practice and technique.
>
>About 15 courses have been offered over the first three years in various=20
>parts of the country. Most have been on statistical themes and have=20
>covered such topics as multivariate analysis, statistics for finance,=20
>decision analysis, VLEs, time series, medical statistics, service courses=
=20
>in statistics, teaching statistics with R, Bayesian methods, regression=20
>diagnostics, forensic statistics, mathematics research in teaching etc.=20
>Details can be found at=20
><http://mathstore.ac.uk/daybreak/>http://mathstore.ac.uk/daybreak/
>We envisage that the emphasis will still be on statistics courses but we=20
>are always ready to respond to interests and needs across the range of=20
>Mathematics, Statistics and OR.
>
>For the coming year we are adopting a new approach.
>
>Instead of us announcing a programme, we are asking you to tell us
>
>=B7 What you want to know about =96 for its own sake, for=
professional=20
>development or to aid your teaching
>
>=B7 Where you want the course to be held
>
>=B7 How many of your colleagues might also sign up for your=
suggested=20
>courses.
>
>Please let us have your views by 14 th October as a reply to this email.
>
>Vic Barnett & Brad Payne HEA MSOR Network
>
>Email:=20
><mailto:[log in to unmask]>[log in to unmask] Phone:=20
>0115 848 8410
>
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Date: Thu, 6 Oct 2005 15:11:09 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
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From: Andrew McMullan <[log in to unmask]>
Subject: Job: job opportunity modelling RA/SRA
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Apologies for cross posting
>
>Research Associate/Senior Research Associate
>
>Based in the School of Population & Health Sciences a research associate
>is required to work on a programme of decision making and risk
>communication research within the Public Health and the Economics of
>Safety, Health, Environment and Risk Research Groups (PHRG/ESHER). You
>will need to be qualified to Doctoral level or with equivalent research
>experience. This is an excellent opportunity for a researcher with
>interests and skills in quantitative modelling skills, demonstrable
>skills in writing for publication and a capacity to work independently
>leading research grant applications. The duration of the post will be
>for 24 months in the first instance. The post is offered full-time.
>Informal approaches can be made to Professor Richard Thomson
>[log in to unmask] or to Professor Cam Donaldson.
>[log in to unmask] Information about the School can be found at
>www.ncl.ac.uk /pahs. Further details can be found at:
>www.ncl.ac.uk/vacancies/research
>
>
>Closing date:18 November 2005.
>
>
>
>Job Ref: A467R
>
>To apply, please send a CV, covering letter and completed employment
>record form to Mrs Pat Barker, School of Population and Health Sciences,
>4th Floor, William Leech Building, The Medical School, Framlington
>Place, Newcastle upon Tyne, NE2 4HH.
>
>
>Richard Thomson
>Professor of Epidemiology and Public Health
>School of Population and Health Sciences
>Medical School
>Framlington Place
>Newcastle upon Tyne
>NE2 4HH
>Tel +44 (0)191 222 8760
>Fax +44 (0)191 222 8211
>Web site http://www.ncl.ac.uk/pahs/
>UK QIP Web site http://www.ncl.ac.uk/qip/
=========================================================================
Date: Thu, 6 Oct 2005 16:22:07 +0100
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From: Simon Clarke <[log in to unmask]>
Subject: Analysis of quota sampled surveys
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I am looking for some advise on how to analyse data from several repeat
surveys that collected the data using a quota sampling approach.
To get a concept of precision within a probability sample you would
obviously get the confidence intervals based on sampling errors taking into
consideration stratification or Primary sampling units if this was not a
simple random sample. The methodology would extend to testing differences
between surveys/trend tests. However, theoretically or practically how
would you undertake such analyses if the data you had was collected via
quota sampling.
Could you use some bootstrapping technique to produce some type of
confidence intervals. If so how would you extend this to testing
differences between two surveys.
I would be interesting to know what happens in practice. I note that
opinion poll results have levels of confidence attached to some estimates
but I can't remember any reported statistical analyses of these that looked
at changes across time, although I may have just not be interested at the
time.
All thoughts greatly received and if there sufficient they will be
summarised and posted back to the list. However, responses will be treated
in strictest confidence if required.
Looking forward to your replies,
Simon
Dr Simon Clarke
Epidemiology and Medical Statistics Unit
Health and Safety Executive
Room 243A Magdalen House
Stanley Precinct
Bootle
Merseyside L20 3QZ
Tel: +44 (0)151 9513832
Fax: +44 (0)151 9514703
E-mail: [log in to unmask]
Most of our statistics are available online
http://www.hse.gov.uk/statistics/index.htm
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Date: Thu, 6 Oct 2005 17:26:07 +0100
Reply-To: Ken Spencer <[log in to unmask]>
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From: Ken Spencer <[log in to unmask]>
Subject: dichotomous variables in spss regression analysis
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I am using a number of word variables (word frequency; number of =
phonemes
etc.) to predict word reading difficulty for young children (measured as =
the
number of children in a class who can read/spell a word; I use the =
zscore
transformation as the dependent variable).=20
The words can be classified as having one-to-one correspondence for =
sound
and symbol (e.g. "and"; "long") or as containing complex =
symbols/graphemes
("though": 2 phonemes made up of a digraph[th] and a quadgraph[ough]).=20
Complex words are classified as having (1) or not (0) for 3 dichotomous
categories (di-, tri-, quad- graph) The presence of a di-, tri- or quad-
graph has a dramatic effect on word difficulty, but within the 150 words
that the pupils are reading there are relatively few tri- or quad- =
graphs.
4 questions:
1. does the number of cases (relative to the total number of cases, 150 =
in
this study) in a dichotomous category matter (I can't find any reference =
to
this in the stats books I use): there are 3 quadgraphs, 15 trigraphs, 40
digraphs, and the rest are 1-to-1.
2. I am using zscores for the dependent variable: does it make sense to
quote the unstandardised B values rather than standardised betas?
3. Do beta values make any sense at all for a dichotomous variable?
4. Is this the kind of question I can put to this list???
Thanks to those of you who have taken the trouble to read this.
Ken S.
Dr Ken Spencer
Centre for Educational Studies
Institute for Learning
Hull University
Cottingham Road
HULL HU6 7RX
Tel: +44 (0)1482 46 5954=20
=========================================================================
Date: Thu, 6 Oct 2005 17:41:28 +0100
Reply-To: kenneth spencer <[log in to unmask]>
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From: kenneth spencer <[log in to unmask]>
Subject: dichotomous variables in spss regression analysis: my email
address
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Date: Fri, 7 Oct 2005 10:08:33 +0100
Reply-To: "Schofield J.M." <[log in to unmask]>
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From: "Schofield J.M." <[log in to unmask]>
Subject: SHORT COURSE UK
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Courses in Applied Social Surveys
Essentials of Survey Design and Implementation
(excluding Questionnaire Design as this is a separate course)
Dr Pamela Campanelli
7, 8, 9 December 2005, University of Southampton
CASS is a Programme of Short Courses run by the Southampton Statistical
Sciences Research Institute (S3RI) at the University of Southampton=20
Supported by the Economic and Social Research Council (ESRC)
Course Objectives:
To enable participants to understand the integrated processes of
designing and conducting quantitative survey research projects.
To give participants experience of grappling with problems in the design
of surveys.
To make participants aware of the main sources of error in the survey
process and ways of detecting, controlling and minimising such error.
Course Content:
The course will cover the quantitative survey process from initial
design to data processing (excluding the design of questionnaires which
will be covered in a separate course). Topics covered include:
Selecting a mode of data collection (e.g., face-to-face, telephone,
postal, e-mail, web).
The role of the interviewer and how to do quantitative interviewing.
Implementing and monitoring self-completion surveys.
Calculating a response rate and other issues in survey nonresponse.
Basic principles of survey sampling and an introduction to weighting.
Principles of manual coding and editing of survey data, computer editing
and preparing data for analysis.
Sources of error in survey data, ways of assessing them and ways of
minimising error.
Planning and management of surveys, relations with stakeholders in the
sponsored survey process, issues in survey ethics.=20
The course will have two strands. The first will consider the survey
literature and the theoretical underpinnings of survey research. The
second will examine survey research from a more informal and practical
perspective. It will involve group discussions and tutored workshops
and focus on those aspects of survey implementation that are often not
taught in formal courses. =20
Target Audience:
The course is aimed at researchers, research managers and research
students, including those who intend to design and execute quantitative
surveys, those who specify and commission such surveys and those who
analyse survey data and desire to understand the processes through which
such data are generated, the errors to which they are prone and the
meaning of survey "data quality".
Location:
The course will be held at the Social Statistics Research Centre,
University of Southampton. =20
Duration:=20
Students will be expected to attend at the University of Southampton on
7, 8, 9 December. =20
For further details please contact Jane Schofield
E-mail: [log in to unmask]
Telephone: 02380 595376
--=20
Jane Schofield
Southampton Statistical Sciences Research Institute
University of Southampton
[log in to unmask]
Tel: +44 (0) 2380 595376
=20
=========================================================================
Date: Fri, 7 Oct 2005 10:09:09 +0100
Reply-To: Dave Woods <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dave Woods <[log in to unmask]>
Subject: CONFERENCE: DEMA2006
Designed Experiments: Recent Advances in Methods and Applications
7-10 September 2006
Southampton, UK
http://www.doe.soton.ac.uk/dema2006
DEMA2006 aims to bring together researchers and practitioners for the
interchange of new ideas on the design and analysis of experiments. The
conference will emphasise both methodology and important application
areas and will include invited talks, contributed talks and poster
presentations.
The conference will begin on Thursday 7th September with registration
and a social gathering and will close on Sunday 10th September at about 5pm.
Scientific Programme
The scientific programme currently includes invited presentations from
over 20 leading researchers from around the world. Abstracts for
contributed talks and posters are encouraged, particularly from early
career researchers and PhD students. Abstracts should be submitted
online via http://www.doe.soton.ac.uk/dema_contributed.php before 14
April 2006. The scientific advisory committee will consider the
abstracts and make a selection for oral presentation. Authors will be
notified of the outcome by 1 June 2006.
The Scientific Advisory Committee is
Susan Lewis (Chair, University of Southampton)
Kathryn Chaloner (University of Iowa)
Angela Dean (Ohio-State University)
Byron Jones (Pfizer UK)
David Woods (University of Southampton)
Henry Wynn (London School of Economics)
Early Career Scholarships
A limited number of scholarships is available to provide a modest
contribution to conference expenses for early career researchers (PhD
students and researchers within 3 years of obtaining a PhD) who
contribute a poster or talk. These will be awarded on the basis of a
submitted abstract and a curriculum vitae. The deadline for applications is
14 April 2006. Applicants will be notified of the outcome by 1 June 2006.
Conference Venue
Southampton is a busy maritime city on the south coast of England. The
conference will be held at the Hilton Hotel which is less than 4 miles
from the city centre. A special accommodation rate has been agreed with
the hotel which includes bed, breakfast and dinner for the three days of
the conference. Full details are available at the conference website.
Accommodation at the conference venue is limited and therefore early
registration is encouraged; online registration is available at the
conference website.
Important Dates
Early registration closes: 25 March 2006
Deadline for contributed abstracts: 14 April 2006
Deadline for applications for early career scholarships: 14 April 2006
Conference dates: 7-10 September 2006
Conference organisers
Susan Lewis and David Woods
Southampton Statistical Sciences Research Institute
University of Southampton
Southampton
SO17 1BJ
UK
[log in to unmask]
http://www.doe.soton.ac.uk/dema2006
=========================================================================
Date: Fri, 7 Oct 2005 10:08:12 +0100
Reply-To: "HARPER, Caroline" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "HARPER, Caroline" <[log in to unmask]>
Subject: Job: Assistant Statistician, National Audit Office, London
Comments: cc: "CORALLO, Daniela" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
>=20Assistant=20Statistician=20(=A325=20-30k)
>=20The=20National=20Audit=20Office=20is=20Central=20Government>=20'>=20s=20=
external=20auditor.=20=20Our=20Value=20for=20Money=20work=20includes=20rep=
orting=20to=20Parliament=20on=20the=20economy,=20efficiency=20and=20effect=
iveness=20achieved=20by=20the=20bodies=20we=20audit,=20and=20our=20reports=
=20are=20used=20as=20the=20basis=20of=20hearings=20by=20the=20House=20of=20=
Commons>=20'>=20=20Committee=20of=20Public=20Accounts.
>=20The=20Value=20for=20Money=20(VFM)=20Development=20team=20at=20the=20NA=
O=20provides=20guidance,=20support=20and=20training=20on=20the=20technical=
=20aspects=20of=20VFM=20audit=20to=20staff=20working=20on=20VFM=20studies=20=
across=20all=20areas=20of=20government=20activity,=20as=20well=20as=20over=
seeing=20the=20quality=20assurance=20of=20this=20work=20and=20providing=20=
senior=20management=20support=20on=20technical=20VFM=20issues=20and=20VFM=20=
policy=20and=20strategy.=20This=20new=20post=20offers=20a=20unique=20oppor=
tunity=20to=20contribute=20to=20our=20work=20across=20a=20wide=20range=20o=
f=20government=20activity.=20=20As=20a=20member=20of=20the=20VFM=20Develop=
ment=20Team,=20you=20will=20carry=20out=20data=20analysis=20for=20VFM=20st=
udies,=20assist=20in=20developing=20and=20organising=20training=20courses=20=
in=20statistics=20and=20quantitative=20techniques=20and=20contribute=20to=20=
on-going=20methodological=20and=20developmental=20work.=20
>=20
>=20You=20will=20have=20a=20first=20degree=20in=20statistics=20or=20mathem=
atics=20(and/or=20a=20higher=20degree=20in=20a=20discipline=20with=20subst=
antial=20statistical=20content)=20and=20experience=20in=20applying=20stati=
stical=20and/or=20operational=20research=20techniques=20to=20the=20analysi=
s=20of=20data=20in=20the=20social=20sciences.=20In=20return=20we=20offer=20=
a=20competitive=20salary=20(negotiable=20according=20to=20qualifications=20=
and=20experience),=20final=20salary=20pension=20and=20generous=20leave=20a=
llowance.=20(The=20position=20is=20initially=20offered=20on=20a=20two=20ye=
ar=20fixed-term=20contract=20with=20the=20possibility=20of=20extension=20o=
r=20permanence=20thereafter.)=20=20
>=20
>=20Further=20details=20are=20available=20on=20our=20website=20at=20www.na=
o.org.uk.=20=20For=20an=20informal=20discussion=20about=20the=20post,=20pl=
ease=20contact=20Daniela=20Corallo=20(020=207798=205378;=20email:=20Daniel=
[log in to unmask]).=20=20To=20apply=20please=20email=20your=20CV=20=
with=20a=20covering=20letter=20quoting=20the=20reference=20number=20(ref:=20=
6062)[log in to unmask]
.uk=20by=20Friday=2021st=20October=202005.
>=20
>=20
>=20
>=20Caroline=20Harper
>=20Head=20of=20VFM=20Statistics=20and=20Quality=20Assurance
>=20National=20Audit=20Office
>=20157=20-=20197=20Buckingham=20Palace=20Road
>=20Victoria=20SW1W=209SP=20
>=20
>=20Tel:=200207=20798=207171
>=20Fax:=200207=20798=207749
>=20Email:[log in to unmask]
>=20www.nao.org.uk
>=20
>=20
The=20information=20contained=20in=20this=20email,=20and=20any=20files=20t=
ransmitted=20with=20it,=20is=20intended=20only=20for=20the=20individual=20=
or=20entity=20to=20whom=20it=20is=20addressed.
Such=20information=20may=20be=20confidential=20and=20privileged,=20and=20n=
o=20mistake=20in=20transmission=20is=20intended=20to=20waive=20or=20compro=
mise=20such=20privilege.
If=20you=20have=20received=20the=20email=20in=20error,=20please=20notify=20=
the=20NAO's=20Post=20Master=20at=20mailto:[log in to unmask]
This=20footnote=20also=20confirms=20that=20this=20email=20message=20has=20=
been=20swept=20for=20the=20presence=20of=20computer=20viruses.
Please=20visit=20our=20website=20at=20www.nao.org.uk
The=20original=20of=20this=20email=20was=20scanned=20for=20viruses=20by=20=
the=20Government=20Secure=20Intranet=20(GSi)=20virus=20scanning=20service=20=
supplied=20exclusively=20by=20Energis=20in=20partnership=20with=20MessageL=
abs.
On=20leaving=20the=20GSi=20this=20email=20was=20certified=20virus-free
=========================================================================
Date: Fri, 7 Oct 2005 12:59:18 +0100
Reply-To: Richard Feltbower <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Richard Feltbower <[log in to unmask]>
Subject: JOB: Medical Statistician - University of Leeds
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Medical Statistician - Job ref 317015=20
University of Leeds
Leeds Institute for Genetics, Health and Therapeutics, Centre for =
Epidemiology and Biostatistics
This full time post is available from January 2006 for a fixed term of =
18 months to join an enthusiastic and motivated team of researchers in =
the Paediatric Epidemiology Group. You will work to develop novel =
census-based measures of population mixing and community characteristics =
in close collaboration with researchers at St Andrews University. Duties =
will include collection and validation of data; linking disease counts =
across small geographical areas with relevant census data; perform =
statistical analysis; write up results in medical and statistical =
journals, attend and present at UK and international scientific =
meetings.=20
A degree in a relevant subject (maths, statistics), advanced techniques =
in statistics, experience of one or more statistical packages (Stat, =
SAS, SPSS), and experience in Microsoft Word and databases (Access) are =
essential, together with the ability to write up results in report and =
academic publication form, be self motivated and work under own =
initiative, and able to prioritise and co-ordinate workloads to tight =
deadlines. A postgraduate qualification or relevant experience in =
medical statistics or epidemiology, knowledge of the UK decennial =
Census, and experience of developing computational models is desirable.
Research IA (=A319,460 - =A323,643 p.a.)=20
Application packs are also available from Sarah Skinner; Centre for =
Epidemiology and Biostatistics, tel 0113 343 7646 email =
[log in to unmask]
Further details about the post can be obtained from the University of =
Leeds website http://wwwnotes2.leeds.ac.uk/jobs/unijob.nsf/Jobs or by =
contacting Richard Feltbower: tel 0113 343 4841 email =
[log in to unmask]
Job ref 317015. Closing date 28 October 2005. Interviews to be held on 8 =
November 2005.
---------------------------------------------------------
Richard Feltbower
Paediatric Epidemiology Group
Centre for Epidemiology & Biostatistics
University of Leeds
30-32 Hyde Terrace
Leeds LS2 9LN
Tel +44 (0)113 343 4841
Fax +44 (0)113 343 4877
www.leeds.ac.uk/medicine/peg
=========================================================================
Date: Fri, 7 Oct 2005 13:09:19 +0100
Reply-To: Fiona Steele <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fiona Steele <[log in to unmask]>
Subject: ANNOUNCE: RSS Social Statistics meeting
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Content-Disposition: inline
Apologies for cross-posting.
RSS SOCIAL STATISTICS MEETING ON EVENT HISTORY ANALYSIS
Date and time: Tuesday 13 December 2005, 5pm (tea from 4.30pm)
Venue: 12 Errol Street, London EC1Y 8LX=20
Admission: The meeting is open to all and free of charge
PROGRAMME
Jane Elliott (Centre for Longitudinal Studies, Institute of Education)
"The value of event history techniques for understanding social processes:
modelling women=92s employment behaviour"
Andrew Pickles (Centre for Census and Survey Research and School of
Epidemiology and Health Science, University of Manchester)
"Random effects and latent variables in event history analysis: measurement
error, multivariate events and endogeneity"
Arnstein Aassve (Institute for Social and Economic Research, University of
Essex)
"Modelling multiple event histories"
Abstracts are not yet available, but will be placed on the RSS Social
Statistics webpage (<http://www.rss.org.uk/main.asp?page=3D1367>) in due
course.=20
----------------------
Dr Fiona Steele
Reader in Social Statistics
Centre for Multilevel Modelling, Graduate School of Education
University of Bristol
35 Berkeley Square
Bristol BS8 1JA
UK
Email: [log in to unmask]
Phone: 0117 928 7045
Fax: 0117 925 1537
=========================================================================
Date: Fri, 7 Oct 2005 15:52:33 +0100
Reply-To: Goran Peskir <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Goran Peskir <[log in to unmask]>
Subject: Positions in Statistics
MIME-Version: 1.0
Content-Type: text/plain;charset=iso-8859-15
Content-Transfer-Encoding: 8bit
Please bring the following two positions to the attention of anyone
who might be interested:
--> Chair in Statistics
-------------------
--> Lecturer/Senior Lecturer in Statistics
--------------------------------------
School of Mathematics, the University of Manchester.
---------------------------------------------------
For details see http://www.man.ac.uk/news/vacancies/academic.html#EPS200.
=========================================================================
Date: Fri, 7 Oct 2005 15:54:23 +0100
Reply-To: Goran Peskir <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Goran Peskir <[log in to unmask]>
Subject: School and Symposium on Optimal Stopping with Applications
MIME-Version: 1.0
Content-Type: text/plain;charset=iso-8859-15
Content-Transfer-Encoding: 8bit
FIRST ANNOUNCEMENT
We are pleased to announce the very first large-scale international
scientific event devoted exclusively to Optimal Stopping and its
Applications. A School followed by a Symposium covering the dates
17th - 27th January 2006 hosted by Manchester University with a full
spectrum of presentations spanning 50 years of expertise, including
honorary distinguished lectures to be given by J. Laurie Snell and
Eugene B. Dynkin.
Please visit the following website and register as early as possible
as places are limited:
http://www.maths.man.ac.uk/optimal_stopping
Applications from Ph.D. students and young researchers are also
strongly encouraged.
=========================================================================
Date: Fri, 7 Oct 2005 16:10:03 +0100
Reply-To: Zoe Bennett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Subject: JOB- Statistician, Pharmaceutical Company
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Dear All,=20
=20
My client in the south east is looking for a Clinical Statistician, with =
experience of working in the pharmaceutical industry.=20
Ideally you will have at least 4 years of experience of working on =
Clinical Trials, ideally within a Pharmaceutical company, although =
candidates with non industry research experience will also be =
considered. Candidates educated to PhD level will be considered with =
less experience.=20
=20
The role will be to provide statistical input to the clinical =
development process. You will be analysing clinical trials and their =
design, and working alongside a large team on a truly international =
basis. This is a fantastic company, offering an amazing package, and =
excellent salaries. Relocation assistance will be offered for the right =
candidate.=20
The ideal candidate will be driven and have excellent communication =
skills. You will have thorough knowledge of the Pharmaceutical =
industry, and be ready to take the next step to drive your career =
forward.=20
=20
Please call me for more information.=20
=20
Kind Regards=20
Zo=EB Bennett
Senior Consultant
BLUE PELICAN PHARMA=20
http://www.bluepelicanpharma.com <http://www.bluepelicanpharma.com/>=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
Pelican House, Gibbs Reed Farm, Ticehurst, East Sussex TN5 7HE
Blue Pelican Group provide a professional and ethical recruitment =
service. It is our policy not to
distribute any candidate information without prior consent from the =
candidate.
All information in this email transmission, including financial and =
numerical information, is strictly private and=20
confidential, and subject to change, correction and completion. If you =
have received this email in error, please=20
notify the sender and delete the email and all attachments immediately. =
This email (including any attachments)=20
may contain confidential or privileged information or both. If you are =
not the intended recipient, any reliance on,=20
use, disclosure, dissemination, distribution or copying of this email or =
attachments is strictly prohibited.=20
We have checked for viruses, but the contents of an attachment may still =
contain software viruses which could=20
damage your computer system. We do not accept liability for any damage =
you sustain as a result of a virus=20
introduced by this email or any attachment, and you are advised to use =
up-to-date virus checking software.=20
We do not guarantee any email transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance =
with the Lawful Business Practice=20
Regulations and the Data Protection Act. Senders of messages shall be =
taken to consent to the monitoring=20
and recording of emails addressed to our employees.
=20
=20
=20
=20
=20
=========================================================================
Date: Fri, 7 Oct 2005 15:28:25 +0000
Reply-To: Malcolm Morrissey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Malcolm Morrissey <[log in to unmask]>
Subject: JOB: Statistician/Senior Statistician - ClinPhone Ltd
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Content-Transfer-Encoding: quoted-printable
Statistician/Senior Statistician - Job ref STA1R
Join a vibrant, fast-growing company, that=92s a fun place to work
ClinPhone is the largest clinical technology organisation in the world an=
d=20
has developed applications for over 300 pharmaceutical and biotechnology=20
companies. We have recently been awarded two Queen's Awards for Enterpris=
e -=20
the UK=92s most prestigious commercial awards of its kind.
Going from strength to strength, expansion creates this additional role f=
or=20
a Statistician/Senior Statistician to join our Statistics and Product=20
Support Service Group. Primarily you=92ll be providing internal and exte=
rnal=20
consultancy advice on randomisation and medication management schemes for=
=20
use in clinical trials managed by telephone Interactive Voice Response=20
systems or their web equivalent. It=92s busy and diverse, and you can ex=
pect=20
to be involved with around 75 studies every year, with many requiring=20
creative thinking and innovative solutions. Some studies will also=20
necessitate simulation work to investigate optimal randomisation and=20
medication management schemes while other projects will include data=20
transfers, interim data analyses, questionnaire validation and data minin=
g. =20
There will also be the opportunity to work on individual research project=
s=20
related to the core business.
Although no prior expertise in these areas is required, you must have a g=
ood=20
understanding of the role and the importance of randomisation in clinical=
=20
trials. In addition to a sound knowledge of statistical theory and good S=
AS=20
programming skills, you must have excellent interpersonal and organisatio=
nal=20
skills as there will be frequent client contact on many projects working=20
within tight timeframes. Industry or clinical trial experience would be =
a=20
distinct advantage but applicants with other relevant experience should a=
lso=20
apply.
We offer:
=95 an attractive starting salary (dependant on skills and experience)
=95 annual salary review
=95 discretionary bonus scheme
=95 group pension scheme
=95 subsidised membership of local gym facilities
=95 support and encouragement for professional and personal development
Please send your full cv and covering letter, quoting reference STA1R, to=
=20
the HR Department, ClinPhone Group Limited, Lady Bay House, Meadow Grove,=
=20
Nottingham NG2 3HF or email [log in to unmask]
Closing date 31st October 2005.
-------------------------------------------------------------------------=
-----------------------------------------------------------
Malcolm Morrissey
Statistics and Product Support Service Group,
ClinPhone Ltd,
Lady Bay House,
Meadow Grove,
Nottingham,
NG2 3HF,
United Kingdom
www.clinphone.com
=========================================================================
Date: Fri, 7 Oct 2005 16:36:28 +0100
Reply-To: Allan Reese AFH CEFAS <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Allan Reese AFH CEFAS <[log in to unmask]>
Subject: Jobs get better ...
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
My client in the south east is looking for a Clinical Statistician
...
The ideal candidate will be driven
First time I've seen a chauffeur as part of the package.=20
***************************************************************************=
********
This email and any attachments are intended for the named recipient only. =
Its unauthorised use, distribution, disclosure, storage or copying is not p=
ermitted. If you have received it in error, please destroy all copies and =
notify the sender. In messages of a non-business nature, the views and opi=
nions expressed are the author's own and do not necessarily reflect those o=
f the organisation from which it is sent. All emails may be subject to mon=
itoring.
***************************************************************************=
********
=========================================================================
Date: Fri, 7 Oct 2005 11:59:17 -0700
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: New Birthday Calendar
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
Hi
I'm setting up a birthday calendar and need your help. Just click the link below and enter your birthday details.
http://www.birthdayalarm.com/bd2/54768763a188727041b787225326c287787308d969
This is a great way of wishing people in their birthday even if you are in too distance from your beloved one.
Wishing your great response.
Thanks
Madan
=========================================================================
Date: Fri, 7 Oct 2005 15:55:27 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Darryl Bertolucci <[log in to unmask]>
Subject: Whoops
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Hello,
I just filled in Madan's birthday information and now somebody else is me
:).
That didn't really happen.
I've been a member for about a year and, although, I've been tempted to
post an answer I have not as yet. Nor have I posted a query. That will
change. I find the list members to be wonderful and (most) questions
received very interesting and educational. I especially enjoy it when folks
take the time to summarize the answers they have gotten to a particular
query.
I've worked in drug/alcohol abuse, HIV/AIDS and, now aviation. I use
SAS and R (really super for a great many apps and it's free). I'm
certainly no expert in R, but would recommend that people look into it if
they haven't already. Keep in mind that it is a continuous work in
progress....with new packages being added as people have tested them. The
book "Modern Applied Statistics with S" by Venables and Ripley is
recommended. Yes "S" not "R", but R is covered quite well. Also, Dr. Ripley
is a member of the R listserv.
Have a great weekend!
Darryl
Darryl Bertolucci
Statistician
Statistics and Forecast Branch
Office of Aviation Policy and Plans
Federal Aviation Administration
----- Forwarded by Darryl Bertolucci/AWA/FAA on 10/07/2005 03:31 PM -----
Madan Kundu
<[log in to unmask]
CO.IN> To
[log in to unmask]
Sent by: A cc
UK-based
worldwide e-mail Subject
broadcast system New Birthday Calendar
mailing list
<allstat@JISCMAIL
.AC.UK>
10/07/2005 02:59
PM
Please respond to
Madan Kundu
<[log in to unmask]
CO.IN>
Hi
I'm setting up a birthday calendar and need your help. Just click the link
below and enter your birthday details.
http://www.birthdayalarm.com/bd2/54768763a188727041b787225326c287787308d969
This is a great way of wishing people in their birthday even if you are in
too distance from your beloved one.
Wishing your great response.
Thanks
Madan
=========================================================================
Date: Sun, 9 Oct 2005 14:40:53 -0400
Reply-To: Isaac Dialsingh <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Isaac Dialsingh <[log in to unmask]>
Subject: Re: Biostatistics notes
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Hello,
A few years ago I came across a set of biostatistics notes written by a =
Dutch Biostatistician? Does anyone know of any university site that =
has such notes in the netherkands?
Isaac
=========================================================================
Date: Sun, 9 Oct 2005 20:39:01 +0100
Reply-To: Patricia Crowley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patricia Crowley <[log in to unmask]>
Subject: Public seminar. Well-being & Misery. 14 Oct 6pm London
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Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
International Health and Medical Education Centre/Lancet Lecture 2005
Professor Daniel Kahneman
'Progress in the Study of Well-Being'
=20
Friday 14 October 2005
=20
Lecture
6-7.30pm, Logan Hall, Institute of Education, 20 Bedford Way, London =
WC1H OAL
=20
Reception
7.45-9pm, Jeffrey Hall, Institute of Education
RSVP: [log in to unmask]
This year the annual IHMEC/Lancet lecture will be given by Professor =
Daniel Kahneman. An interdisciplinary conversation has been held for =
several decades, concerning the nature of well-being, approaches to its =
measurement, its relation to health and its distribution across social =
classes and over continents. The pace of this conversation has picked up =
considerably in recent years and its main character has changed as =
economists joined it. The lecture will present a view of the main issues =
that are currently debated and describe some recent developments in the =
measurement of well-being and misery.
Following the lecture there will be a discussion between Professor =
Kahneman and Dr Richard Horton, Editor of the Lancet, exploring the =
international health dimensions of Daniel Kahneman's research.
Professor Kahneman is Professor of Public Affairs at the Woodrow Wilson =
School of Public and International Affairs at Princeton University. He =
was awarded the 2002 Nobel Prize in economic sciences for "having =
integrated insights from psychological research into economic science, =
especially concerning human judgment and decision making under =
uncertainty".
Kahneman's work, it's said, has laid the foundation for a new field of =
research by discovering how human judgment may take shortcuts that =
systematically depart from basic principles of probability.
The lecture will be followed by a drinks reception and poster =
presentation in the Jeffrey Hall, Institute of Education.
=20
Request for posters
The post-lecture poster presentation will showcase work being done on =
global health by students and academics at UCL and elsewhere, research =
institutes, NGOs and others. We would be extremely happy to hear from =
you if you would like to publicise your work by having a poster at the =
presentation. The poster boards we will be using are 4' by 4'. If you =
would like to submit a poster, please contact Lorna Richardson (below) =
by Friday 1 October.
=20
If you would like to reserve a place at the lecture, please contact =
Jennifer Aves-Elliott in the=20
UCL Development & Corporate Communications Office
Email [log in to unmask]
Tel +44 (0) 20 7679 9737 (internal x.09737)
=20
If you have any questions about the lecture, or would like to submit a =
poster, please contact Lorna Richardson at IHMEC
Email [log in to unmask]
Tel +44 (0) 20 7288 3169
http://www.ihmec.ucl.ac.uk/events/Lee/Leedetails.htm
=20
A confirmation of your booking and a map will be sent to you via email =
(or post if you do not have an email address) approximately one week =
prior to the event.
=20
=20
=========================================================================
Date: Mon, 10 Oct 2005 09:04:05 +1300
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Norman W.H. Mason" <[log in to unmask]>
Subject: Unsubscribe
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Hello,
could you please unsubscribe me.
cheers,
Norman.
Norman Mason
Botany Department
University of Otago
P.O. Box 56
Dunedin
New Zealand
e-mail [log in to unmask]
ph 479-9065
fax 479-7583
=========================================================================
Date: Sun, 9 Oct 2005 16:02:49 -0700
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Dawn E. Holmes" <[log in to unmask]>
Subject: CONFERENCE
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KES'2006
10th Anniversary!
International Conference on
Knowledge-Based & Intelligent Information & Engineering Systems
Bournemouth International Conference Centre, U.K.
9, 10 & 11 October 2006
http://kes2006.kesinternational.org
KES International Conference Series
Welcome! For ten years KES has been organising conferences for the
Intelligent Systems community. We are pleased to celebrate a decade of
KES conferences with the announcement of KES2006, the tenth
International Conference in Knowledge Based and Intelligent
Information and Engineering Systems. KES2006 will be jointly
organised by the Universities of Brighton and Bournemouth and held in
the Bournemouth International Conference Centre on the South Coast of
the United Kingdom. The conference will consist of keynote talks and
paper presentations, invited sessions and workshops, on the
applications and theory of Intelligent Systems and related areas. It
will provide excellent opportunities for the presentation of
interesting new research results, and discussion about them, leading
to knowledge transfer and the synergetic generation of new ideas.
The scope of the conference includes the following topics:-
Generic Topics of Interest: Knowledge-Based Systems, Expert Systems,
Neural Networks, Fuzzy Techniques and Systems, Genetic Algorithms and
Evolutionary Computing, Hybrid Intelligent Systems, Intelligent Agents
and Multi-Agent Systems, Knowledge Discovery and Data Mining, Machine
Learning, Cognitive Modelling, Knowledge Representation and
Management, Planning, Spatial & Temporal Reasoning, Knowledge
Acquisition.
Intelligent Applications: Industrial Control and Monitoring,
Fault Diagnosis, Robotics, Image Processing, Machine & Computer
Vision, Medical & Diagnostic Systems, Financial & Stock Market
Monitoring and Prediction, Speech Processing and Synthesis, Natural
Language Processing, Environmental Monitoring, Power Electronics &
Drives, High Voltage Systems, Engine Control and Vehicle
Applications; Signal Processing; Wavelets.
Emerging Intelligent Technologies: Context-aware and Affective
(Emotional) Computing, Mobile Computing and Systems, Business
Intelligence Systems, Human-centered Computing, User-profiling,
Evolvable Hardware, DNA Computing, Artificial Life, Bioinformatics
using Intelligent & Machine Learning Techniques, Intelligent Tutoring
Systems, Artificial Intelligence and the Internet, Information Agents
on the Internet, E-commerce/E-business and E-learning, Intelligent
Information Retrieval, Intelligent Web Mining & Applications,
Intelligent User Interfaces, Virtual Reality & Multi-Media
Intelligent Information Systems.
CALL FOR PAPERS
Papers are invited from prospective authors with interests in the
indicated conference topics and related areas of application. All
contributions should be original and not published elsewhere or
submitted for publication during the review period. Please see the web
site for details of the required paper format. To ensure high
quality, all papers must be submitted using the PROSE online system,
and will be thoroughly reviewed by the KES2006 Programme Committee.
The conference proceedings will be published by a major publisher.
Extended versions of selected papers will be considered for
publication in the KES Journal
http://www.kesinternational.org/journal/.
Authors will be limited to one paper per registration.
CALL FOR SUBJECT CHAIRS
Specialists in technical areas within the scope of the conference are
invited to apply to be Subject Chairs at KES2006, taking
responsibility for overseeing the paper review process within their
domain of expertise. Please contact the KES2006 Secretariat
outlining your experience and area of expertise if you would like to
contribute to the organisation of KES2006 as a Subject Chair.
CALL FOR INVITED SESSIONS
Scientists, engineers and researchers who would like to organise an
invited session of 5/6 papers, or a parallel workshop of a half or
full day, on some topic falling within the scope of the conference
are
invited to contact the KES Secretariat enclosing the title and content
of the proposed session. We also welcome suggestions for other
activities that will appeal to our delegates.
DEADLINES
General Sessions
Submission of papers: 1 February 2006
Notification of acceptance: 1 April 2006
Final papers to be received by: 1 May 2006
Invited Sessions
Proposals for Invited Sessions / Workshops: 1 February 2006
Session Chair sets Invited Session the interim deadlines.
Final papers for Invited Session musts be received by: 1 May 2006
All presenting authors must register with payment by 1 June 2006 for
their papers to appear in the proceedings
KES2006 General Chairs:
B.Gabrys, University of Bournemouth, UK and
R.J.Howlett, University of Brighton, UK
Invited Sessions Chair: L.C.Jain, University of South Australia
KES2006 is part of the KES International Conference Series, Chairs
L.C.Jain and R.J.Howlett
Web Site: http://kes2006.kesinternational.org
Email Enquiries: [log in to unmask]
=========================================================================
Date: Mon, 10 Oct 2005 08:04:15 +0100
Reply-To: Dimitris Bagavos <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dimitris Bagavos <[log in to unmask]>
Subject: Job: Ph.D. in Econometrics/Statistics
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Ph.D. in Econometrics/Statistics
Accenture Marketing Sciences (AMS) offering applies econometric modeling=20
and Marketing Sciences to drive top-line revenue growth, and optimize=20
marketing mix spending strategies through category stimulation and=20
increased market share. The offering can identify opportunities for=20
maximizing the return on marketing investment and consequently improve a=20
client=92s revenue, share and profit performance significantly.=20
AMS has a new and exciting initiative for 2005, to develop an Athens based=20
market modeling resource centre.=20
AMS is looking for outstanding people:
=95 With a Ph.D. in Econometrics, Statistics or Mathematics (with sound=20
time series and/or statistical background)
=95 The candidates will be responsible for statistical modeling, data=20
management and report writing.
=95 Part of this position will be to supervise groups of analysts=20
working on multinational projects=20
=95 SAS programming skills will be considered as an asset
=95 The candidates should be flexible in traveling abroad to=20
participate in client meetings
=95 Working experience is not a prerequisite
We offer competitive compensation, comprehensive training programs, a=20
stimulating working environment and excellent career advancement=20
opportunities.=20
All applications will be treated in full confidence. Please, send your CV=20
in English to:
Mr. Sotiris Drinias [log in to unmask]
=========================================================================
Date: Mon, 10 Oct 2005 08:44:28 +0100
Reply-To: honey vincent valle <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: honey vincent valle <[log in to unmask]>
Subject: biostatistics data for nursing students
Content-Disposition: inline
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MIME-Version: 1.0
Hello to all in the List,
May I request for data in biostatistics especiaLLY FOR nursing students? I =
need data for a chi square test and 2-way tables for probability computatio=
n. Thanks in advance....Pls email me privately. If you know of a website o=
n these data, kindly inform me....Thanks again.
Sincerely,
Honey V. V. Valle
Univewrsity of Southern MIndanao
Kabacan, Cotabato
Philippines
--=20
_______________________________________________
Surf the Web in a faster, safer and easier way:
Download Opera 8 at http://www.opera.com
Powered by Outblaze
=========================================================================
Date: Mon, 10 Oct 2005 10:16:52 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
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Content-Transfer-Encoding: 7bit
Dear Allstaters,
Please note there has been a slight change to the timings for tomorrow's
meeting. We will now start at 2pm, with a tea break 2.50-3.20pm. Thus
the order of speakers will be:
2pm - 2.45pm Patrick Sanders
The Public Health Impact of Landfill Waste Sites
2.50pm - 3.20pm Tea break
3.20pm - 4.05pm Richard Feltbower and Samuel Manda
Detecting Similarities in the Spatial Distribution of Childhood
Leukaemia and Type 1 Diabetes using Bayesian Smoothing
4.10pm - 4.55pm Chris Robertson and Christina Yap
The Long Term Effects of Environmental Pollution on Cause Specific
Mortality in Scotland
Further details, abstracts etc. can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
All welcome!
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Tuesday 11 October, 2pm, Lecture Theatre X, Worsley
Building, University of Leeds (tea from 2.50-3.20pm)
Joint meeting with Medical Section
Environmental Epidemiology
Speakers to include:
Patrick Sanders (Health Protection Agency, Birmingham)
The public health impact of landfill waste sites
Richard Feltbower and Samuel Manda (University of Leeds)
Detecting similarities in the spatial distribution of childhood
leukaemia
and type 1 diabetes using Bayesian smoothing.
Christopher Robertson and Christina Yap (University of Strathclyde)
The Long Term Effects of Environmental Pollution on Cause Specific
Mortality in Scotland
=========================================================================
Date: Mon, 10 Oct 2005 12:39:03 +0100
Reply-To: Roger W Humphry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roger W Humphry <[log in to unmask]>
Organization: SAC
Subject: ANNOUNCE:course-quatnitative risk - Inverness, 28 Nov 05
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
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To ALLSTAT subscribers.
The 3 day course "An Introduction to Quantitative Risk
Analysis" is being held in Inverness on the days 28-30 November
2005. Run by Vose Consulting.
For more details and to book places please visit:
http://www.risk-modelling.com/training_csch.htm
Roger Humphry
*******
Introduction to Quantitative Risk Analysis
Course description
This 3-day Introduction to Quantitative Risk Analysis course will cover
the basic principles of risk assessments
and describe where quantitative risk analysis fits in the risk analysis
process. It briefly looks at resource, strategy
and communication issues that management faces and focuses on the
most important risk modeling principles
and methods. The course will also get the participants comfortable with
risk analysis modeling environments (in
this case @RISK with Excel, but the lessons apply equally well to other
modeling environments). In addition, the
course will cover essential probability and statistics theory and various
stochastic processes.
Who should attend?
Anyone in science, business and government with an interest in
quantitative risk analysis such as professionals
and researchers doing animal health and food safety, business risk
analysis, human epidemiology, engineering and
project risk analysis. While some of the examples will tend to be
veterinary epidemiology oriented, they are just
examples that can easily be adapted in other areas.
Location and Dates
Location: Inverness, Scotland (course venue will be announced at the
latest 3 weeks before the course start)
Dates: Monday, November 28th =93 Wednesday, November 30th
Format: From 9am =93 5pm; minimum of 10 and maximum of 18
participants
Costs: =A3675 with a 10% discount if you register and pay before October 2=
1st,
2005. Course fee includes lunch, tea,
coffee etc. but does not include accommodation, breakfast or evening meal.
Registration and more information
For more information, visit the course website at http://www.risk-
modelling.com/training_iqra.htm.
Teaching philosophy
This course aims to help participants understand rather than just learn
the steps to do a risk analysis. This can
only be achieved in a relaxed, informal and interactive environment using
plenty of examples and hands-on
exercises where students apply and adapt what they have learned.
ModelAssist
ModelAssist from Vose Consulting is a comprehensive risk analysis
training and reference software tool.
ModelAssist Advanced for @RISK provides an in-depth explanation of
many risk analysis concepts, techniques
and methods and will therefore certainly greatly complements the
modeling issues discussed during this course.
It is particularly helpful as a reference for participants of the material=
that
has been presented during the course.
ModelAssist will be available to participants at a reduced price (a 50%
discount off the regular price).
=========================================================================
Date: Mon, 10 Oct 2005 13:03:52 +0100
Reply-To: "Fisher, Alison (MBWAR st)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Fisher, Alison (MBWAR st)" <[log in to unmask]>
Subject: Incomplete designs
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
I have a problem where I have 14 items and each respondent i=
Hi,=0D=0A=0D=0AI have a problem where I have 14 items and each respondent i=
s to be=0D=0Ashown 7=0D=0A=0D=0AIf I calculate the combination needed for a=
complete bolck design I get=0D=0A3432. Unfortunantely this isn't practica=
l.=0D=0A=0D=0ACould anyone provide me with guidance in being able to create=
a design=0D=0Awith a smaller sample size (i.e. say less than 500) and how =
I go about=0D=0Acreating it=3F=0D=0A=0D=0AI get this sort of problem once e=
very few year, can anyone recommend a=0D=0Agood book that I could use as a =
reference in the future=3F=0D=0A=0D=0AThank you for your help=0D=0A=0D=0AAl=
ison=0D=0A=0D=0A=0D=0A=0D=0A=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=20=0D=0AThis email is confidential and in=
tended solely for the use of the=20=0D=0Aindividual or organisation to whom=
it is addressed. Any opinions or=20=0D=0Aadvice presented are solely those=
of the author and do not necessarily=20=0D=0Arepresent those of the Millwa=
rd Brown Group of Companies. If you are=20=0D=0Anot the intended recipient=
of this email, you should not copy, modify,=20=0D=0Adistribute or take any=
action in reliance on it. If you have received=20=0D=0Athis email in error=
please notify the sender and delete this email=20=0D=0Afrom your system. A=
lthough this email has been checked for viruses=20=0D=0A and other defects,=
no responsibility can be accepted for any loss or=20=0D=0Adamage arising f=
rom its receipt or use.=20=0D=0A=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=20=0D=0A
=========================================================================
Date: Mon, 10 Oct 2005 17:02:38 +0100
Reply-To: Michael Griffiths <[log in to unmask]>
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<[log in to unmask]>
From: Michael Griffiths <[log in to unmask]>
Subject: Help Group (RSS Examinations)
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Dear all,
Firstly please forgive the everyone e-mail, but it is the quickest manner =
in which to get the reponses that I require. For those who are following =
any of the Royal Statistical Society examinations (Ord. Cert. Higher Cert. =
or Grad. Dip.) I am trying to set up a help group whereby we can send =
questions/answers to fellow students. If you are interested in subscribing =
to this please would you e-mail me directly on
[log in to unmask] I feel that this would be beneficial not only =
to those who take part, but also to the allstat list in general as it =
would remove I'm sure quite a few pleas for help that are connected either =
with coursework or pending examinations!!
Thanks for your time, and once again my apologies to this list for the =
everyone e-mail
Mike Griffiths
Michael Griffiths, Ph.D.
Chemometrician
Training, Quality and Statistics Group
LGC Limited
Queens Road
Teddington
Middlesex, TW11 0LY, UK
Tel: +44 (0)20 8943 7352
Fax: +44 (0)20 8943 2767
e-mail: [log in to unmask]
*******************************************************************
This email and any attachments are confidential. Any use, copying or
disclosure other than by the intended recipient is unauthorised. If
you have received this message in error, please notify the sender
immediately via +44(0)20 8943 7000 or notify [log in to unmask]
and delete this message and any copies from your computer and network.
LGC Limited. Registered in England 2991879.
Registered office: Queens Road, Teddington, Middlesex, TW11 0LY, UK
=========================================================================
Date: Mon, 10 Oct 2005 18:43:40 +0100
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: Sign Language & Statistics
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I wonder if anyone has had experience of teaching statistics=20
to severely/profoundly deaf students using British Sign Language=20
(in addition to a note taker) either at undergraduate or especially=20
at postgraduate level or knows of someone who has?
I'll summarise & post any replies I get.
Many thanks,
Keith.
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Mon, 10 Oct 2005 19:48:00 +0100
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Query about outlier
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hi,
Can anybody kindly tell me the difference between "extreme observations", "outliers" and "influential observation".
Thanks in advance.
with regards,
Madan
*************************Address separator*******************************************************
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web. http://www.freewebs.com/madanstata
*****************************************************************************************************
---------------------------------
Yahoo! India Matrimony: Find your partner now.
=========================================================================
Date: Tue, 11 Oct 2005 10:18:01 +0100
Reply-To: "Newby, Martin" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Newby, Martin" <[log in to unmask]>
Subject: Re: Sign Language & Statistics
Comments: To: "Abrams, Prof K.R." <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear Keith,
I have no such experience, but City University does have (The only, I =
think) department specilizing in sign language. Perhaps you could get =
some help there. The person to contact is Bencie Woll.
Details below.
=20
Department of Language and Communication Science=20
Bencie Woll=20
Professor of Sign Language and Deaf Studies=20
email [log in to unmask]
phone 020 7040 8354=20
Good luck,
Martin Newby
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
To: [log in to unmask]
Sent: 10/10/2005 18:43
Subject: Sign Language & Statistics
I wonder if anyone has had experience of teaching statistics=20
to severely/profoundly deaf students using British Sign Language=20
(in addition to a note taker) either at undergraduate or especially=20
at postgraduate level or knows of someone who has?
I'll summarise & post any replies I get.
Many thanks,
Keith.
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Tue, 11 Oct 2005 10:36:09 +0100
Reply-To: Robert Hills <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Robert Hills <[log in to unmask]>
Subject: Research Methods Course, November 2005.
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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I have been asked to forward this to the list: please direct all queries
to Gail Green ([log in to unmask])
=20
=20
University of Birmingham Clinical Trials Unit
Research Methods for Clinical Trials 14-16th November 2006
=20
The course will consist of a series of talks and workshops that will
concentrate on the practicalities of developing and running a randomised
clinical trial. The course is designed to appeal to a broad audience
ranging from those who have little experience in clinical trials to
those who wish to widen their knowledge of the conduct of such trials.=20
More information, including course programme and booking form, can be
found at http://www.bctu.bham.ac.uk/researchmethods/
=20
Link to course programme
http://www.bctu.bham.ac.uk/researchmethods/programme.htm
Background
There is a need to train existing and potential clinical researchers in
the design, management, analysis and interpretation of randomised
clinical trials. The Birmingham Clinical Trials Unit has established a
course in research methods for clinical trials which is designed to help
researchers apply the most effective practical methods to answer key
problems in clinical and other health care.
Curriculum
The course will consist of a series of talks and workshops that will
concentrate on the practicalities of developing and running a randomised
clinical trial. Subjects covered include:
- Choosing the question: systematic reviews and meta-analysis
- Trial design: large simple trials and other designs
- Statistical analysis for non-statisticians
- Protocol development
- Practical procedures for running a trial
- Computerised trial management
- Critical appraisal of published work
- Quality of life studies
- Health economics
- Research Governance considerations
- Funding and research costs
This course has been accredited with 18 CPD points (6 points per day).
Certificates will be issued on the final day of the course.
Who Should Attend
The course is designed to appeal to a broad audience ranging from those
who have little experience in clinical trials to those who wish to widen
their knowledge of the conduct of such trials. Attendance would be
appropriate for:
Clinical researchers who are planning or running a clinical trial.
Medical staff involved in clinical trials who are interested in
expanding their knowledge.
Trial administrators/ research nurses/ others who wish to expand their
knowledge of clinical trial methodology.
=========================================================================
Date: Tue, 11 Oct 2005 16:25:07 +0100
Reply-To: David Spiegelhalter <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Spiegelhalter <[log in to unmask]>
Subject: Course: Bayesian analysis, MCMC and WinBUGS
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
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Apologies for any cross-posting
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Course:
Bayesian analysis, MCMC and WinBUGS
MRC Biostatistics Unit Cambridge
8th - 9th December 2005
Instructors: Dr David Spiegelhalter and Dr Nicky Best
See http://www.mrc-bsu.cam.ac.uk/bayescourse/
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Day 1 - Introductory: to introduce participants to the use of Bayesian=20
methods, Markov chain Monte Carlo, and their application in WinBUGS
Day 2 - More advanced: to show how a range of increasingly complex=20
models can be fitted in WinBUGS, illustrate methods for model criticism,=20
model comparison and assessing sensitivity to prior distributions, and=20
how to (a) call WinBUGS from R and (b) run BUGS from within R.
Target audience:
Statisticians working in any application area, with familiarity of=20
classical methods such as generalised linear and random-effects modelling.
No experience of Bayesian methods or specialist software will be assumed=20
for Day 1. If only attending Day 2 then basic familiarity with Bayesian=20
methods and WinBUGS will be assumed
Faculty:
Dr David Spiegelhalter MRC Biostatistics Unit, Cambridge
Dr Nicky Best Imperial College, London
The costs are:
One Day Two Days
Student =A360 =A3100
Public sector =A3120 =A3200
Commercial =A3240 =A3400
Places strictly limited - you are recommended to register as soon as=20
possible
Full details: http://www.mrc-bsu.cam.ac.uk/bayescourse/
=========================================================================
Date: Tue, 11 Oct 2005 17:04:06 +0100
Reply-To: Trevor Sweeting <[log in to unmask]>
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<[log in to unmask]>
From: Trevor Sweeting <[log in to unmask]>
Subject: ANNOUNCE: REMINDER RSS Ordinary Meeting
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****REMINDER - THIS WEDNESDAY****
Ordinary meeting of the Royal Statistical Society organized by the
Research Section
Wednesday, October 12th, 2005 at 5pm (tea from 4:30pm)
Venue: Royal Statistical Society, 12 Errol St, London WC1Y 8LX
A. Beskos, O. Papaspiliopoulos, G. O. Roberts and P. Fearnhead
(Lancaster University)
Exact and computationally efficient likelihood-based estimation for
discretely observed diffusion processes
The objective of this paper is to present a novel methodology for
likelihood-based inference for discretely observed diffusions. We
propose Monte Carlo methods, which build on recent advances on the exact
simulation of diffusions, for performing maximum likelihood and Bayesian
estimation.
You can download/view a PDF copy of this paper at
http://www.rss.org.uk/main.asp?page=1836
Trevor Sweeting
=========================================================================
Date: Tue, 11 Oct 2005 13:29:17 -0400
Reply-To: Mariathas Judes Tagore <[log in to unmask]>
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From: Mariathas Judes Tagore <[log in to unmask]>
Subject: Help
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Hi,
Can you help me how to solve this problem?
If P(0<= x <=a) = 1 show that var(x)<= a^2/4.
Thank you
Judes
__________________________________________________________
Find your next car at http://autos.yahoo.ca
=========================================================================
Date: Tue, 11 Oct 2005 14:01:10 -0400
Reply-To: Vincent Granville <[log in to unmask]>
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From: Vincent Granville <[log in to unmask]>
Subject: Re: Help
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Variance is maximum when P(X=0) = P(X=a) = 1/2. In that case, Var(X) =
a^2/4.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
Mariathas Judes Tagore writes:
> Hi,
> Can you help me how to solve this problem?
> If P(0<= x <=a) = 1 show that var(x)<= a^2/4.
>
> Thank you
> Judes
>
>
>
=========================================================================
Date: Tue, 11 Oct 2005 21:21:42 +0100
Reply-To: Serguei Foss <[log in to unmask]>
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From: Serguei Foss <[log in to unmask]>
Subject: question of Mariathas Judes Tagore
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---------------------------- Original Message ----------------------------
Subject: Re: [Fwd: Re: Help]
From: "Vsevolod Shneer" <[log in to unmask]>
Date: Tue, October 11, 2005 8:20 pm
--------------------------------------------------------------------------
Clearly, it is sufficient to consider the case a=1 (otherwise take y=x/a).
Then, since 0 <= X <= 1, we have
Var(X) = EX^2 - (EX)^2 <= EX - (EX)^2 = EX (1 - EX) <= 1/4.
>
>
> Mariathas Judes Tagore writes:
>
> > Hi,
> > Can you help me how to solve this problem?
> > If P(0<= x <=a) = 1 show that var(x)<= a^2/4.
> >
> > Thank you
> > Judes
> >
> >
> >
>
=========================================================================
Date: Wed, 12 Oct 2005 07:59:28 +0100
Reply-To: Fen Scott <[log in to unmask]>
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From: Fen Scott <[log in to unmask]>
Subject: Course Reminder: Introduction to Excel VBA, London
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Course: Introduction to Excel VBA
Venue: London or Newcastle upon Tyne
Duration: 2 days
Dates: 10/11 November (London), 17/18 November (Newcastle upon Tyne)
Cost: 495 pounds plus VAT per delegate
This 2 day training course is aimed at current users of Excel who wish
to learn how to automate manual repetitive spreadsheet tasks by
utilising Excel's built in programming language, Visual Basic for
Applications (VBA).
Delegates need no prior programming knowledge to benefit from the course
and by the end of the course should be able to build customised
applications within Excel.
The course uses a hands-on approach throughout the two days, and the
atmosphere is a relaxed and friendly one.
Using Excel VBA, hours, days or even weeks can be saved by changing
long-hand manual spreadsheet processes into fast "click-of-a-button" VBA
procedures.
Visit www.intrepidata.co.uk for further details.
All of the courses delivered by IntrepiData can be run at alternative
venues to those shown on our web-site. Courses can also be delivered
on-site at your own training venue, or on a one-to-one basis, if
required. If you are interested in any of these options, please call me
on the number shown to discuss in further detail.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
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Date: Wed, 12 Oct 2005 08:05:25 +0100
Reply-To: Fen Scott <[log in to unmask]>
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From: Fen Scott <[log in to unmask]>
Subject: Course Reminder: Data Analysis using Excel PivotTable Reports
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Course: Data Analysis using Excel PivotTable Reports
Venue: London, Birmingham or Newcastle upon Tyne
Duration: 1 day
Dates: 15/11 and 8/12 (London), 24/11 (Birmingham), 1/12 (Newcastle)
Cost: 275 pounds plus VAT per delegate
This one day course is aimed at current users of Excel who wish to learn
how to manipulate one of the most powerful yet user-friendly tools
within Excel, namely PivotTable reporting.
PivotTable reports are interactive tables which summarise large amounts
of data very quickly into tabular reports, the structure of which is
defined by the user. Once created, PivotTable reports are extremely easy
to modify and format.
This course is designed to take the delegate from the basics of
PivotTable report creation through to more advanced topics such as
creating Custom Groupings and Displaying as Percentages.
No previous knowledge of PivotTable reporting is assumed and by the end
of the course, the delegate should be confident in building standard and
customised PivotTable reports.
The course is very hands on and interactive. The delegate works through
a number of set tasks and exercises related to each specific topic. The
atmosphere during the course is relaxed and friendly.
Visit www.intrepidata.co.uk for further details.
All of the courses delivered by IntrepiData can be run at alternative
venues to those shown on our web-site. Courses can also be delivered
on-site at your own training venue, or on a one-to-one basis, if
required. If you are interested in any of these options, please call me
on the number shown to discuss in further detail.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
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Date: Wed, 12 Oct 2005 08:09:16 +0100
Reply-To: Fen Scott <[log in to unmask]>
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From: Fen Scott <[log in to unmask]>
Subject: Course Reminder: Charting Data with Excel PivotChart Reports
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Course: Charting Data with Excel PivotChart Reports
Venue: London, Birmingham or Newcastle upon Tyne
Duration: 1 day
Dates: 16/11 and 9/12 (London), 25/11 (Birmingham), 2/12 (Newcastle)
Cost: 275 pounds plus VAT per delegate
This course is aimed at current Excel users who are familiar with and
confident in creating PivotTable Reports and who wish to learn how to
create PivotChart Reports in Excel. PivotChart Reports are graphical
depictions of data held in PivotTable Reports. They are interactive
charts which summarise large amounts of data very quickly into graphical
reports, the structure of which is defined by the user. Once created,
PivotChart Reports are extremely easy to customise.
This course is designed to take the delegate from the basics of
PivotChart Report creation through to more advanced topics and tricks.
No previous knowledge of PivotChart Reporting is assumed (though a
working knowledge of PivotTable Reporting is required) and by the end of
the course, the delegate should be confident in building standard and
customised PivotChart reports.
Visit www.intrepidata.co.uk for further details.
All of the courses delivered by IntrepiData can be run at alternative
venues to those shown on our web-site. Courses can also be delivered
on-site at your own training venue, or on a one-to-one basis, if
required. If you are interested in any of these options, please call me
on the number shown to discuss in further detail.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
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Date: Wed, 12 Oct 2005 09:20:48 +0100
Reply-To: Alison Stacey <[log in to unmask]>
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From: Alison Stacey <[log in to unmask]>
Subject: JOB: Senior Operational Research Analyst required by leading
Consumer Retailer
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Hello All,
Our client one of the UK=92s leading retailers is seeking a number of Senior=
=20
Analyst to join their insight team. You should be familiar with broad=20
range of statistical techniques: such as modelling, forecasting and GIS=20
analysis. You will be providing a number of functions including the=20
exploration and analysis of customer behaviour.=20
The analysis will be looking at the trends in customer spending and=20
forecasting predictions on how this may impact on future spending. You=20
should have a degree in a statistical discipline. To be part of this=20
friendly and dynamic team you must have excellent interpersonal skills to=20
blend in with their team=92s ethos. You will also need to demonstrate=20
strong team leadership skills.=20
A sound understanding of SAS and SQL will be beneficial to your=20
application. The role may include some travel therefore a valid driving=20
license would be an advantage.
Location: Commutable from Hertfordshire, London, Buckinghamshire, Essex=20
and Bedfordshire
Salary: Negotiable up to c.45K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9003/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 12 Oct 2005 09:26:53 +0100
Reply-To: Alison Stacey <[log in to unmask]>
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From: Alison Stacey <[log in to unmask]>
Subject: JOB: Graduate wanted for Global Market Research agency
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Morning All,
Are you a fresh graduate in a statistical subject? Our client seeks=20
someone with a strong personality to join their expanding team. Your=20
function as a Statistician will be to perform analysis on a variety of=20
market research data. The company analyses advertising for a number of=20
large multi national companies.=20
You will have some exposure to external clients therefore, personality is=20
key to this role and you should have excellent interpersonal skills.=20
Ideally you will have had a 1 year placement in the industry as a=20
Statistician using Statistical Packages such as SAS, SPSS, S-PLUS or=20
similar. You will be able to demonstrate knowledge of a variety of=20
statistical techniques such as correlation, correspondence, regression and=20
segmentation.
Location: Commutable from: Coventry, Warwick, Birmingham, Redditch, Oxford=20
and Leamington=20
Salary: Negotiable up to c.=A322K + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9000/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 12 Oct 2005 09:58:55 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
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From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Contract Statistician-Switzerland
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Dear=20Allstat,
I=20have=20a=20brand=20new=20requirement=20from=20one=20of=20the=20leading=
=20research=20based=20pharmaceutical=20companies=20in=20the=20world.=20The=
y=20are=20currently=20looking=20for=20a=20Statistician=20with=205=20years=20=
experience=20in=20pharma=20development=20and=20clinical=20research.=20You=20=
will=20be=20responsible=20for=20all=20statistical=20tasks=20for=20assigned=
=20clinical=20trials=20in=20the=20Bone=20and=20Arthritis=20therapeutic=20a=
rea.=20This=20includes=20protocol=20writing,=20analysis=20planning=20and=20=
reporting,=20exploratory=20analyses,=20publication=20support=20and=20stati=
stical=20consultation.=20It=20is=20an=20English=20speaking=20environment.
This=20is=20a=206=20month=20contract=20starting=20in=20November/December.=20=
Please=20contact=20me=20to=20discuss=20the=20role=20in=20more=20detail.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com=20<http://www.jamesharvard.com/>=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
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il=20
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=========================================================================
Date: Wed, 12 Oct 2005 10:58:00 +0100
Reply-To: Mark S Gilthorpe <[log in to unmask]>
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From: Mark S Gilthorpe <[log in to unmask]>
Subject: JOB: Lecturer in Epidemiology - UNVERSITY OF LEEDS, UK
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PLEASE DO NOT RESPOND TO POSTER - see below for contact details
Lecturer in Epidemiology - UNVERSITY OF LEEDS
Faculty of Medicine and Health, within the Leeds Institute of Genetics,
Health and Therapeutics (LIGHT)
The post-holder will undertake research into cancer epidemiology as part =
of
the Cancer Epidemiology Group, headed by Professor David Forman within =
the
Centre for Epidemiology and Biostatistics.=20
The Centre comprises several high profile epidemiology groups =
integrating
cutting edge laboratory and population-based research, especially within
genomics and proteomics. The Centre is one research grouping within =
LIGHT
and collaboration is encouraged both within the Institute and across =
other
Institutes in the Faculty. Teaching duties constitute no more than 50% =
of
the role and will involve the teaching of epidemiology to medical =
students
with main responsibility for an integrated core unit in the second-year =
of
the MBChB programme. Close working with the teaching team is of =
paramount
importance.
Lecturer A/B (=A323,634 - =A335,883 p.a.) depending upon experience and
qualifications.
The University is introducing a new reward framework which will =
facilitate
the recruitment, retention and motivation of world class staff. Under =
the
new structure the minimum Lecturer A salary point will be =A326,401 plus =
cost
of living increases.
Informal enquiries to Dr Robert West tel: 0113 343 7612 e-mail:
[log in to unmask] regarding teaching and Professor David Forman tel: =
0113
392 4309 e-mail: [log in to unmask] regarding research. To apply =
online
please visit http://www.leeds.ac.uk and click on =91jobs=92. Application =
packs
are also available via email [log in to unmask] or tel: 0113 =
343
5771.
Job ref 313012 Closing date 28 October 2005
Proposed date of interviews 7 November 2005
We welcome applications from all sections of the community.
Textphone for deaf applicants only 0113 343 4353.
All information is available in alternative formats =96 please contact =
0113
343 4146.
=========================================================================
Date: Wed, 12 Oct 2005 06:12:31 -0400
Reply-To: Mariathas Judes Tagore <[log in to unmask]>
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From: Mariathas Judes Tagore <[log in to unmask]>
Subject: Thank you
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Hi There,
Thank you very much for your help.
I want to solve another problem.
If X is a continuous random variable having
distribution F show that,
a. F(X) is uniformly distributed over(0,1)
b. If U is uniform (0,1) random variable, then
F^{-1}(U) has distribution F, where F^{-1} is that
value of y such that F(y)=x.
Thank you
Judes.
__________________________________________________________
Find your next car at http://autos.yahoo.ca
=========================================================================
Date: Wed, 12 Oct 2005 11:44:50 +0100
Reply-To: Matthew Inglis <[log in to unmask]>
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From: Matthew Inglis <[log in to unmask]>
Subject: QUERY: Fisher's (Freeman-Halton) exact test
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Hello
I'm hoping someone will be able to answer a fairly straightforward
question about using Fisher's Exact Test on a general r x c
contingency table. I believe some people call this test the Fisher-
Freeman-Halton exact test.
The SPSS Exact Tests module only gives me a value for two-tailed
exact significance. I want one-tailed. Can I simply divide my p-value
by 2 in the normal way?
I'm asking this as I know that, for the normal 2x2 Fisher's Exact
Test, you cannot. But, for the 2x2 case SPSS is kind enough to
provide you with both 1-tailed and 2-tailed values.
If I cannot divide by 2, what methods do I have available to obtain a
one-tailed test?
Thanks in advance for your help
Matthew.
=========================================================================
Date: Wed, 12 Oct 2005 14:03:32 +0200
Reply-To: "Berger Martijn (STAT)" <[log in to unmask]>
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From: "Berger Martijn (STAT)" <[log in to unmask]>
Subject: JOB: Assistant professor BIOSTATISTICS at University of
Maastricht, The Netherlands
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SECOND CORRECTED ANNOUNCEMENT
________________________________________________________________
Vacancy: Assistant professor Biostatistics/Medical Statistics
University of Maastricht, The Netherlands
________________________________________________________________
The University of Maastricht is the youngest university in the =
Netherlands and currently has about 12,000 students and more than 3,000 =
employees. The University has seven faculties, Arts & culture, Economics =
& Business and Administration, General Sciences, Health Sciences, Law, =
Medicine and Psychology. The University Maastricht also has =
international programs, like the University College Maastricht, which is =
a broad bachelor program.
The Department Methodology and Statistics of the University of =
Maastricht, The Netherlands, invites applications for an assistant =
professorship:
Assistant professor in Biostatistics/Medical Statistics (1.0 fte, f/m)
Tasks:
The Department Methodology and Statistics teaches elementary and =
advanced courses in statistical methods and research methods to =
Bachelor, Master and PhD. students in the Health Sciences, Medicine and =
Psychology. The research of the Department focuses on optimal design and =
analysis of longitudinal studies with random effect and multilevel =
models.
The assistant professor will be mainly responsible for the education, =
research and consultation in the Faculty of Medicine.=20
Requirements:
We are looking for applicants who have a PhD. in Biostatistics or any =
other applied statistics field, such as biometrics, psychometrics with a =
research track in design or analysis of medical and health science =
studies and publications in international journals. We expect the =
candidate to be committed to excellent and innovative teaching. =
Applications from women and minorities are encouraged.
Salary:
We offer in principle a full time tenured position (universitair docent =
2=94 position UFO profile), with a review after two years. Salary =
amounts to a maximum =88 4605, salary scale 12.
Information and application:
Information can be obtained from Prof. dr. Martijn P.F. Berger, Chair of =
the Department Methodology and Statistics, Maastricht University, P.O. =
Box 616, 6200 MD Maastricht, The Netherlands. E-mail: =
[log in to unmask]
Please send your application with CV to Prof. dr. Martijn P.F. Berger, =
Department Methodology and Statistics, Maastricht University, P.O. Box =
616, 6200 MD Maastricht, The Netherlands.
Applications close October 30th, 2005
=========================================================================
Date: Wed, 12 Oct 2005 15:52:38 +0300
Reply-To: "Anon." <[log in to unmask]>
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From: "Anon." <[log in to unmask]>
Organization: Helsinki University
Subject: IceBUGS: BUGS users meeting
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(apologies for cross-posting, and please pass this on to anyone you=20
think might be interested)
FIRST ANNOUNCEMENT
IceBUGS: A Workshop about the development and use of the BUGS programme=20
Tv=C3=A4rminne Zoological Station, University of Helsinki, Finland Friday=
=20
10th - Monday 13th February 2005
We would like to invite you to IceBUGS, the first BUGS users group=20
meeting, on 10th-13th February 2006. The aim of this workshop is to=20
bring together people working with and on BUGS, providing a platform=20
for BUGS users and developers to discuss and exchange ideas about using=20
BUGS in data analysis. The workshop will consist of both oral and=20
poster session, as well as discussion session where BUGS experts can=20
discuss your problems, and suggest solutions. We are planning for=20
about 30 particiants, so the meeting will be fairly small and informal.
The following speakers have already confirmed their attendence: David=20
Spiegelhalter (UK), Nicky Best (UK), Martyn Plummer (France), Brad=20
Carlin (USA) and Andrew Thomas (Finland).
The meeting will be held at Tv=C3=A4rminne Zoological Station, just over=20
100km from Helsinki. There will also be the oppoprtunity to have a=20
proper Finnish sauna, and a dip in an ice hole (well, if there is any ic=
e).
The Dates: Friday 10th - Monday 13th February 2006
The Place: Tv=C3=A4rminne Zoological Station, Hanko, Finland
(http://luoto.tvarminne.helsinki.fi/english/index.htm)
Fees: 200 EUR (includes transport between Helsinki and the Zoological=20
Station and all accommodation and meals. A few single rooms are=20
available for 30 EUR extra)
If you are interested in attending, please email Bob O'Hara=20
([log in to unmask]), and if you wish to present a talk or poster, give=20
a provisional title (we will let you change it later, for now we just=20
want to have an idea about your subject).
I hope we'll see you in February!
--=20
Bob O'Hara
Dept. of Mathematics and Statistics
P.O. Box 68 (Gustaf H=C3=A4llstr=C3=B6min katu 2b)
FIN-00014 University of Helsinki
Finland
Telephone: +358-9-191 51479
Mobile: +358 50 599 0540
Fax: +358-9-191 51400
WWW: http://www.RNI.Helsinki.FI/~boh/
Journal of Negative Results - EEB: http://www.jnr-eeb.org
=========================================================================
Date: Wed, 12 Oct 2005 14:05:43 +0100
Reply-To: "Jon Heron (ALSPAC)" <[log in to unmask]>
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From: "Jon Heron (ALSPAC)" <[log in to unmask]>
Subject: [QUERY] Power calc for a 5-level exposure
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Dear all,
I've just had a complicated power-calc dumped on me for an urgent grant
- hurrah!!
Risk of outcome in population = 20%
Sample = 10,000
Exposure = 5-levels, let's assume that they're all equal groups to keep
it simple.
They're interested in finding any difference between the 5 groups
but I guess I would need to make assumptions about 4 effect sizes
before I could begin to think about calculating the power
I'm pretty stuck. Can I just reduce this to a problem with
binary exposure at 50:50 with only 4,000 cases in the sample?
Many thanks
Jon
--------------------------------------------------
Jon Heron, PhD
Research Statistician
Avon Longitudinal Study of Parents and Children
[log in to unmask]
=========================================================================
Date: Wed, 12 Oct 2005 14:18:41 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: URGENT CONTRACT - BIOSTATISTICAN
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=20
=20
Salary: CHF 120 ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Switzerland=20
=20
Background:=20
=20
My client requires a biostatistician with 4+ years experience in
pharmaceutical development to take responsibility for statistical tasks
for a specific therapeutic area. This includes protocol writing,
analysis planning programming and reporting and statistical
consultation. Candidates must ideally be available for a start within 4
weeks speak fluent English and have good knowledge of SAS.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv4107'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 12 Oct 2005 15:13:51 +0100
Reply-To: Jake Jackson-Smith <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Jackson-Smith <[log in to unmask]>
Subject: Employment Offered: Global Pharma seeks Statistician with
exposure to M&S (Pennsylvania, USA)
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Our client is a major, globla Pharma company that now has need for a
statistician with modelling and simulation skills to work under the
direction of the leader of the M&S area, and to contribute to
methodological development in Phase I biostatics.
Job Duties include:
1. Provide direct project support in M&S, including statistical analysis
and reports, communication with clients in the interpretation and use of
M&S methods and results
2. Help the Biostat M&S leader to develop strong interfaces with clients
and managers, including training course and contributing to the
implementation of end-user tools consistently with the global strategy
developed by the Biostatistics Department
3. Perform technical research for PK or clinical Phase 1 related issues
as needed
4. Help in providing statistical support to clinical
pharmacology/pharmacokinetics, population PK and PK/PD analysis.
Requirements include:
1. Excellent knowledge of statistics, including statistical modeling and
exploratory analysis, ideally in the pharmaceutical industry applied in
clinical development.
2. Firm grasp of linear and nonlinear mixed effect modeling.
Understanding of Bayesian methodology would be advantageous.
3. Ability to program data presentations, using programs such as SAS,
command line programming in R/S-PLUS, NONMEM, and/or WinBUGS.
4. Demonstrated ability to manage multiple projects, and collaborate
with clients
5. Excellent communication skills
6. A strong team focus
7. A desire to develop
If you feel that this role could offer you an opportunity to develop and
grow
please email me with a copy of your most recent CV/Resume in order to
initiate the application process.
Jake Jackson-Smith
Prinicapal Consultant
[log in to unmask]
=========================================================================
Date: Wed, 12 Oct 2005 10:17:33 -0400
Reply-To: Jason Osborne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: Re: Thank you
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: quoted-printable
Judes, forgive my cinicism, but it seems like you are asking the listserv =
to do your homework for you. =20
=20
Clearly, this is not a list for homework assistance.
=20
=20
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page: http://ced.ncsu.edu/ci/ed_psych.h=
tml
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
>>> Mariathas Judes Tagore <[log in to unmask]> 10/12/05 6:12 AM >>>
Hi There,
Thank you very much for your help.
I want to solve another problem.
If X is a continuous random variable having
distribution F show that,
a. F(X) is uniformly distributed over(0,1)
b. If U is uniform (0,1) random variable, then=20
F^{-1}(U) has distribution F, where F^{-1} is that
value of y such that F(y)=3Dx.
Thank you
Judes.
=20
=20
=20
__________________________________________________________=20
Find your next car at http://autos.yahoo.ca
=========================================================================
Date: Wed, 12 Oct 2005 15:26:52 +0100
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Senior Statistician (Clinical Scientist Grade B 14-16)
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
I have been asked to forward this to the list.
Please reply to the details given and not to me.
Job Reference: 092LCL
Job Title: Senior Statistician (Clinical Scientist Grade B 14-16)
Hospital: Southmead Hospital
Location: Education Research & Development
Salary: =A328,920 - =A331279 pa
Hours: full time
Closing Date: 10 November 2005
An experienced medical statistician is required to take responsibility for=
=20
providing high quality statistical advisory services, support and training=
=20
for clinical researchers in acute care in North Bristol NHS Trust and for=20
primary care and mental health Trusts in the North Bristol geographic area.=
=20
The post holder will also work occasionally with the Senior Statistician at=
=20
the other local Acute NHS Trust (United Bristol Healthcare Trust (UBHT)),=20
or cover for this statistician during holidays and other beaks or when=20
workload or specialist expertise requires this to ensure a full and=20
accessible statistics service across all Bristol Healthcare Trusts.
For informal enquiries please contact Nicola Coe on 0117 959 5386; or=20
email: [log in to unmask]
Please visit our website to apply on line; or phone (0117) 9596065
=========================================================================
Date: Wed, 12 Oct 2005 15:53:33 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter F. Chapman" <[log in to unmask]>
Subject: Job: Syngenta, Jealott's Hill, Berkshire
Comments: cc: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
This job advert will appear in the next issue of New Scientist.
Peter Chapman
Syngenta, Jealott's Hill
Syngenta is the leader in crop protection and the third largest seeds
business worldwide, with sales in 2004 of around US$7.3 billion. We are =
a
young company for the 21st century, yet we have years of innovation =
behind
us. This is your chance to join a team of more than 19,000 people in =
over 90
countries, all of whom are committed to helping farmers feed the world =
today
and tomorrow. Come and help us grow.
Statistician
=A322,500 - =A328,000
Jealott's Hill, Bracknell, Berks
Our Biometrics Group advises on experimental design and provides =
non-routine
statistical analysis for a diverse range of areas across the business. =
An
integral member of the Group, you will conduct statistical analysis of =
key
data sets arising from lab, glasshouse and field studies, drawing =
meaningful
conclusions and reporting your findings.
You will need an MSc or similar level qualification in applied =
statistics,
and an aptitude for extracting useful information from real data in an
accurate, effective and timely manner. Experience of using SAS, and of
applying statistics in the design and analysis of scientific =
experiments
would be a distinct advantage.
To apply, please send a full CV to: HR Central Support, Syngenta, =
Jealott's
Hill International Research Centre, Bracknell, Berkshire RG42 6EY, =
quoting
ref:JHB&L/8 or email: [log in to unmask] Closing date: 31th
October 2005.
=========================================================================
Date: Wed, 12 Oct 2005 16:18:55 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Keith Briggs <[log in to unmask]>
Subject: Re: Thank you
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Mariathas Judes Tagore <[log in to unmask]> wrote:
>Hi There,
>Thank you very much for your help.
>I want to solve another problem.
>If X is a continuous random variable having
>distribution F show that,
>a. F(X) is uniformly distributed over(0,1)
>b. If U is uniform (0,1) random variable, then=20
>F^{-1}(U) has distribution F, where F^{-1} is that
>value of y such that F(y)=3Dx.
As I was not busy today, I thought I would generate a model solution
to this problem. Please submit the exact solution below to your =
professor.
Keith =20
Suppose a random numbers of equal width has a density=20
curve must be equal width has a continuous distributed over an integral. =
Then the following: 1: The Uniform Distribution F show that, a. F(X) is=20
uniform Distribution. Since the probability of being over(0,1) random =
variable=20
X may take all values which represented by the height across the random=20
variable is equal to 0, since any interval and 0 height of outcomes A,=20
P(A), is defined over an interval of numbers of equal to 0, since any =
interval=20
determines the area under the area under the curve is equal to 1. A =
curve=20
must be equal probability of outcomes A, P(A), is defined over an =
interval=20
of values which represented by the curve must satisfy the curve, which=20
may take all x) 2: The probability of being observing any interval =
determines=20
the area under a curve (in advanced mathematics, this is known as an =
equal=20
width has no negative values over an interval of number of values which=20
may take all x) 2: The curve. A curve. Then the probability of being =
over(0,1)=20
random numbers (a,b) has no negative values. Instead, it is defined over =
an interval of number generator acting observed, the area above A and is =
represents is known as a continuous random numbers (a,b) has an equal =
probability=20
that, a. F(X) is uniformly distribution p(x), must satisfy the height =
elsewhere.=20
Since the interval of numbers. Then the area under a curve. Then the =
interval=20
of number of values over(0,1) b. If U is uniform Distribution. Since the =
curve. The curve meeting observing distribution. Since the curve (in =
advanced=20
mathematics, this is known as a density curve. The curve. The total area =
under the probability of being observed, the area under the height of =
the=20
number generator acting over an interval of numbers (a,b) has an =
interval=20
and under the area under a curve. The Uniformly distribution is a =
rectangle,=20
with constant height elsewhere F^{-1}(U) has a continuous random =
variable=20
is equal to 1. A continuous distribution F, where F^{-1}(U) has =
distribution=20
A random numbers (a,b) has a continuous distribution is a rectangle, =
with=20
constant height elsewhere F^{-1}(U) has an interval of values, and 0 =
height=20
of observed, the curve (in advanced mathematics, this is known as an =
equal=20
to 1, the area above A and 0 height across the curve. The curve, which=20
may take all x) 2: The curve must satisfy the height of the interval of=20
values, and is represents is known as an equal probability of being over =
an interval determines the following. A random variable has a density =
curve must satisfy the length of numbers of values (p(x), must be equal =
probability curve.=20
The Uniformly distributed over an interval of number of value is known =
as a=20
density of values, and under a curve describing observed, the =
probability that X is represented by the interval area under the curve. =
A constant height across the integral).=20
Then F^{-1}(U) has an equal probability of number generator acting over=20
an equal to 1, the length of being observed, the curve. The probability=20
of number generator all x) 2: Then F^{-1}(U) has no negative values =
(p(x),=20
must be equal width has an equal to be assumed by the interval of equal=20
to be assumed by the set of observed, the following: 1: The Uniform =
Distribution=20
F, which represented over(0,1) b. If U is equal width has not defined at =
specific values. Instead, it is infinite. Suppose a random numbers of =
observed,=20
the random variable, the height across that values (p(x) > 0 for acting=20
distribution F show that value of the curve meeting the curve is known=20
as a constant height across that X.
=========================================================================
Date: Wed, 12 Oct 2005 17:13:22 +0100
Reply-To: Nik Foad <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nik Foad <[log in to unmask]>
Subject: JOB: Statistical Education Consultant, SAS, Marlow
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
SAS Business Intelligence seeks Education Consultants.
SAS is one of the world's 10 largest independent software vendors and is =
the largest privately held Software Company.=20
Founded in 1976 by president Dr Jim Goodnight and executive vice =
president, John Sall, the company has grown from a single office with =
just four employees to a company with more than 9,000 employees.
We are currently looking for Education Consultants to join our renowned =
training centre.
The main purpose of this role is to conduct SAS training courses and =
workshops at SAS training centres and customer sites with the aim of =
maximising the customers use and knowledge of SAS software. It is =
envisaged that you will be of degree calibre in a statistical field and =
will have experience of delivering training courses to a wide range of =
delegates. We will also consider recent graduates who have experience of =
statistics and SAS products. You will be based out of our head office in =
Marlow and the basic salary for this role will be =A328,000 with a =
=A35,000 car allowance as well as bonus and the benefits associated with =
working for one of the worlds leading companies.
How To Apply:=20
You can apply for this by sending your CV to Stefan McLachlan at: =
[log in to unmask]
Nik Foad
Recruitment Manager
> SAS UK & Ireland
Mobile: + 44 (0)7946 436 294
> Telephone:+ 44 (0)1628 490 577
Facsimile: + 44 (0)1628 404 349
[log in to unmask]
> www.sas.com/uk
>=20
> SAS... The Power to Know
>=20
>=20
>=20
=========================================================================
Date: Wed, 12 Oct 2005 17:22:59 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Calling all Credit Analysts at all levels
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear All,
Do you want to be a part of something new and exciting? A fantastic=20
opportunity has arisen for Credit Analysts of all levels. Based in the=20
Yorkshire my client is looking to build a new team of credit analysts to=20
aid him in the decision making of his newly appointed role. =20
He seeks vibrant and enthusiastic Credit Analysts to develop various areas=20
of the business. Your role may be working on the development of new=20
customers, customer management or arrears management. =20
You will have had a background in credit or similar environment.=20
Experience of using Statistical Techniques such as Regression, Times=20
Series Analysis and Model Building will aid your application. As this is=20
a relatively new team you should have good communication and excellent=20
interpersonal skills to fit in with the ethos of this team. =20
For the more senior role you will need to demonstrate your leadership=20
qualities gained in previous roles. Hard work and talent will be rewarded=20
financially.
Commutable from areas such as: Leeds, Bradford, Haworth, Huddersfield.
Suitability: Job would suit a degree holder in Statistics, Mathematics,=20
Economics or Econometrics with at least a years work experience.=20
Salary: Negotiable up to =A340k + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9006/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=20
=========================================================================
Date: Wed, 12 Oct 2005 17:25:32 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Pricing Analyst for Senior Statistical role
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
Working for one of the leading Energy Groups in Europe and the UK you will=20
be responsible for a small team of analysts. You will have a wide range=20
of analytical skills and will be able to apply them to a variety of=20
responsibilities looking at risk and cost assessment.=20
Your responsibilities may involve pricing of policies or designing and=20
maintaining current pricing models. You will have had a number of years=20
experience preferably within the energy industry on the commercial side=20
although statisticians from a finance or insurance pricing background will=20
be considered. Although someone with a PhD in a numerical discipline will=20
also be considered for the role.
Commutable from areas such as: Leeds, Bradford, Haworth, Huddersfield.
Suitability: Job would suit a degree holder in Statistics, Mathematics,=20
Economics or Econometrics with at least 3 years work experience. =20
Salary: Negotiable up to =A335k + Bonus + Excellent Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9005/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Thu, 13 Oct 2005 08:19:43 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Senior Statistician
=20
Salary: GBP 38000 -42000=20
=20
Business Type: Biotechnology Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: United Kingdom - East Anglia=20
=20
Background:=20
=20
Responsible for statistical programming and analysis. Responsible for
statistical methodology. Responsible for reporting of statistical
results=20
=20
Primary Duties:=20
=20
As a Senior Statistician you would provide a vital contribution to our
company. You would be responsible for writing analysis plans, analysing
data and writing statistical reports. You would also have the
opportunity to support out senior personnel in providing a full and
varied service to our clients on all aspects of statistics.=20
=20
Qualifications:=20
=20
At least 4 years experience. An Msc in Statistics or an equivalent
qualification. Knowledge of SAS.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply quoting the reference 'CI-10101'.=20
=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask]
<mailto:[log in to unmask]> =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Thu, 13 Oct 2005 08:31:48 +0100
Reply-To: "Olhede, Sofia C" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Olhede, Sofia C" <[log in to unmask]>
Subject: Seminar on the 28th of October at Imperial College - CANCELLED
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear All,
I am very sorry to announce that due to ill health of the speaker, the
seminar scheduled for the 28th of October at the Statistics Section at
Imperial College London `Singular Random Signals' has been cancelled.
=20
Kind regards
Sofia
=20
Dr Sofia Olhede
Lecturer in Statistics
=20
Department of Mathematics
Imperial College London
SW7 2AZ London
UK
=20
Tel:+44 (0) 20 7594 8568
http://www.ma.imperial.ac.uk/~sco=20
=20
=20
=20
=20
=========================================================================
Date: Thu, 13 Oct 2005 11:41:02 +0100
Reply-To: Medical Stats Advice <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Medical Stats Advice <[log in to unmask]>
Organization: The University of Manchester, UK
Subject: JOB ADVERT: L/SL IN BIOSTATISTCS, U.MANCHESTER
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
LECTURER/SENIOR LECTURER IN BIOSTATISTICS
BIOSTATISTICS GROUP, DIVISION OF EPIDEMIOLOGY &
HEALTH SCIENCES, UNIVERSITY OF MANCHESTER
Applications are invited from medical statisticians for the post of
Lecturer or Senior Lecturer in Biostatistics in the Biostatistics
Group (Head: Professor Graham Dunn). The appointee will play a
leading role in the development of statistical collaboration and
support within the Division's Arthritis Research Campaign Epidemiology Unit
(Head of ARC Unit and the Division: Professor Alan Silman), where
they will be expected to develop, adapt, and evaluate statistical
methodologies for the analysis of complex longitudinal observational
studies in arthritis epidemiology.
Further details can be found on the University's web site:
www.manchester.ac.uk/vacancies
Closing date 11th November 2005
=========================================================================
Date: Thu, 13 Oct 2005 12:46:35 +0100
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: CONTRACT - Biostatistician
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
CONTRACT - Statistician - Switzerland
SEC are recruiting Statisticians for an excellent contract assignment with
one of the worlds leading research led pharmaceutical companies.
The assignment will be across study phases within the Arthritis and Bone
therapeutic area for an initial 6 months. Responsibilities on the assignment
will be wide and varied across the statistical project lifecycle. There is a
strong possibility of contract extension on this assignment.
Essential for this position is a minimum MSc Statistics, at least 4 years
experience as a Statistician within pharmaceutical development, Strong
statistical skills and knowledge of clinical trial methodology. Experience
with protocol development, analysis planning and reporting of clinical
trials, Strong SAS knowledge and a fluency of the English language. Strong
team working and communication skills are of course essential.
In return you will receive an excellent daily rate (1000-1200 chf/day) and
the opportunity to work and live in a beautiful Swiss city as you build your
professional resume with one of the worlds leading pharmaceutical companies.
SEC are a specialist recruitment company working within the Pharmaceutical,
Biotech and CRO industries. If you are interested to learn more about
further appointments within Biostatistics or Statistical Programming across
the UK and Mainland Europe contact Alan on 020 7 255 6600 for a confidential
discussion.
Alan Brophy
SEC Recruitment, London
Tel: 00 44 (0)207 255 6600
<http://www.secrecruitment.com>
=========================================================================
Date: Thu, 13 Oct 2005 13:08:45 +0100
Reply-To: "[log in to unmask]" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: JOB: Contract Biostatistician - Berkshire UK
MIME-Version: 1.0
Content-Type: multipart/mixed;
boundary="--=_NextPart_000_000B_C74E7FE3.A8FD4D22"
This is a multi-part message in MIME format.
----=_NextPart_000_000B_C74E7FE3.A8FD4D22
Content-type: text/plain; charset="US-ASCII"
Dear Allstaters,
Our client, a leading biotechnology company based in Berkshire, urgently seeks a biostatistician
for a 6 month contract. You will be involved in a variety of activities as they head towards a
regulatory submission in the US and Europe in the early part of next year. We will be especially
keen to hear from someone with ISS/ISE experience.
If you are interested in this position, please contact us at [log in to unmask] for more
details.
For other positions see www.primoriscs.co.uk.
Primoris Contract Solutions Ltd
Tel: 07092 150054
Fax: 07902 150052
[log in to unmask]
----=_NextPart_000_000B_C74E7FE3.A8FD4D22--
=========================================================================
Date: Thu, 13 Oct 2005 17:37:07 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: CONTRACT: Statistical Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: Statistical Programmer
=20
Salary: GBP 35-40ph=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client has an opportunity for a Statistical Programmer with 3+ years
experience to work in a fast paced team for an initial 3 months.
Interviews will ideally be within 5 working days with the assignment to
start before the end of the month.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv-4119'.=20
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George Vernon
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Date: Thu, 13 Oct 2005 17:52:23 +0100
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Subject: JOB: Statistical Programmer - Home working
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Statistical Programmer - Home working
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My client has two open positions for programmers within their
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Date: Thu, 13 Oct 2005 18:00:35 +0100
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Subject: Armitage Lecture + workshop - Thursday 10th November 2005
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"LOUISE RYAN IS TO GIVE OUR THIRD ARMITAGE LECTURE, PRECEDED BY WORKSHOP*
THURSDAY 10TH NOVEMBER
Dear Colleague
You are invited to attend our annual lecture and/or workshop. Please see=20
our programme below. There is no cost but if you are planning to come=20
please e-mail me at
[log in to unmask]
indicating whether you will be attending:
the workshop only
the lecture only
both workshop and lecture
Places will be awarded on a first come first served basis.
Margaret Cowling
WORKSHOP:
Evidence Synthesis and Hierarchical Models:
11:30 =96 13:00
An Introduction to the Issues.
David Spiegelhalter, MRC Biostatistics Unit
Case Studies in Genomics and Epidemiology: Bayesian Hierarchical Models=20
for Data Integration.
Sylvia Richardson, Imperial College
13:00-14:00
LUNCH
14:00- 15:00
Challenges in the Synthesis of Gene-Disease Association Studies
Julian Higgins, MRC Biostatistics Unit
Missing Data Mechanisms in Hierarchical Models
Ian White, MRC Biostatistics Unit
To be followed by:
15:00
TEA
15:30 THE THIRD ARMITAGE LECTURE
Synthesising Data from Multiple Sources. Application to methyl mercury=20
and IQ
Louise Ryan, Harvard University
Venue: Max Perutz Lecture Theatre, MRC Laboratory of Molecular Biology,=20
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(adjacent to Addenbrooke's Hospital)
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=========================================================================
Date: Thu, 13 Oct 2005 19:39:50 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Query re html coding for sample mean
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I would be most grateful for suggestions on how best to code the conventional symbol for the sample mean (which I am taking to be a small x with a bar immediately above it) in the language of html.
At present, I am using the following approach:
<style type="text/css">
#overline {text-decoration: overline}
</style>
<div id=overline>x,</div>
However, this tends to give a rather make-shift result, as the 'overline' tends to sit rather aloof from the x. Moreover, the character is forced onto a new line and therefore is not embedded in my sentence as wished.
I have consulted several good html books and discovered that whilst listings of characters and codes are made for many characters including latin letters with circumflexes, the character I am after is not represented.
I am learning html almost from scratch and expect that a more experienced user could offer some code which has worked for them in the past.
An alternative approach would be to capture as an image the result of creating my desired character using an MS Word equation editor. However, this seems a little far fetched for just one character.
Thank you in advance for your suggestions.
Best wishes
Margaret
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Date: Thu, 13 Oct 2005 20:47:38 +0100
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Dear Allstaters,
Our client, a leading pharmaceutical company based in Belgium, urgently =
seeks a biostatistician for a 6 month contract. You will be involved in =
a variety of activities, including input into trial design and protocol =
development, statistical analysis plans, statistical analysis =
programming, input into clinical study reports. This will be in the CNS =
therapeutic area.=20
You should have 7 years experience as a statistician in the =
pharmaceutical industry with at least an MSc qualification in =
statistics.
=20
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Date: Fri, 14 Oct 2005 01:11:46 +0100
Reply-To: Ted Harding <[log in to unmask]>
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From: Ted Harding <[log in to unmask]>
Subject: Re: Query re html coding for sample mean
Comments: To: Margaret MacDougall <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
Content-Type: text/plain; charset=iso-8859-1
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On 13-Oct-05 Margaret MacDougall wrote:
> I would be most grateful for suggestions on how best to code the
> conventional symbol for the sample mean (which I am taking to be a
> small x with a bar immediately above it) in the language of html.
> =20
> At present, I am using the following approach:
> =20
> <style type=3D"text/css">
>#overline {text-decoration: overline}
> </style>
> <div id=3Doverline>x,</div>
> =20
> However, this tends to give a rather make-shift result, as the
> 'overline' tends to sit rather aloof from the x. Moreover, the
> character is forced onto a new line and therefore is not embedded in my
> sentence as wished. =20
> =20
> I have consulted several good html books and discovered that whilst
> listings of characters and codes are made for many characters including
> latin letters with circumflexes, the character I am after is not
> represented.=20
> =20
> I am learning html almost from scratch and expect that a more
> experienced user could offer some code which has worked for them in the
> past. =20
> =20
> An alternative approach would be to capture as an image the result of
> creating my desired character using an MS Word equation editor.
> However, this seems a little far fetched for just one character.
> =20
> Thank you in advance for your suggestions.
I don't think you can! I'm no expert on HTML either (and if there
are any experts out there we'd love to be put right).
I've looked around a bit. There seems to be a consensus that
you can't do much in the way of mathematical notation in
standard HTML.
The nearest I've found -- which will only work in special
circumstances -- used a "proposed" extension to HTML called
"MATHML".
The syntax given there was
<MATH><ABOVE>x</ABOVE></MATH>
with the caveat "Unfortunately most of the existing browsers do
not recognize the <MATH> tags, so you just get an x. The same
effect can be achieved in non<MATH> enabled browsers using a
<TABLE> construction; i.e.
<TABLE><TH>_<BR>x</TH></TABLE>
which gives [display of x-bar on a separate line]"
See http://www2.sjsu.edu/faculty/watkins/html.htm
On my browsers (mozilla, firefox) the MATH did not work, and
the TABLE method put the x-bar on a new line, with the bar a
little too far above the x (just as described by Margaret).
I suspect, however, that the Opera browser does recognise MATH.
That's still no good, however, for people who don't use it!
The accented characters which are available in HTML at least
include those given as single entities in standard extended
ASCII character sets, such as iso-8859-1 which I'm using now,
and which your mail reader should render correctly, such as
=E1 =C0 =E5 =E7 =EA =EF =F8 =FC (only a selection) along with some stand=
-alone
accents.
These correspond to single ASCII codes and are not composed as
composite characters. Combinations of letter and accent which
are not amongst those available (e.g. above) in the character
set do not exist in HTML.
So, unless it's already a standard single character, you
cannot get it in HTML. In particular (apart from what may be
possible using <MATH>...</MATH>) you can't instruct HTML to
place an arbitrary mark as an "accent" to some other mark.
So, although the requisite stand-alone accent is available
in the iso-8859-1 set at position 175, the "macron" accent
(=AF), and you can indeed get it displayed in HTML by entering
¯
in your HTML, you can't as far as I can see instruct HTML
to display an "x" and then put a "¯" above it.
I agree that using Word + Equation Editor to get a bitmap
that you can import is overkill. And I'm personally no
admirer of the Equation Editor anyway. (Haven't we been
here before, and exactly on the "x-bar" topic? I recall that
pre-MedStats exchanges on this between Martin, John and me
about this were what first got us acquainted!)
Despite all this, I have two practical suggestions.
The first, for something as simple as x-bar, is simply to
write "x-bar". This will be readily understood, especially
if you initially explain that "x-bar stands for an x with a
bar over it; unfortunately this cannot be represented in
HTML so I'll just call it 'x-bar'".
The second is where you have occasion to use more than the
occasional mathematical symbol so that you need the reader
to see proper mathematical notation.
For web purposes, the ideal format for this is PDF. The
PDF display software Acrobat Reader is freely available
for most computer platforms from the Adobe website
http://www.adobe.com
So you just put a link to a PDF file in your web page,
and if the person reading it has installed Acrobat Reader
then they can see it exactly as you intended, and also
print it out. Again, the can download and save the PDF
file, so can readily refer to it later. Nowadays I assume
that nearly everyone has Acrobat Reader available so I have
no qualms about sending them PDF files.
The main issue for this suggestion is creating the file
in PDF format in the first place.
You might use Word (with Equation Editor) to create a Word
document which displays the mathematics more or less as
you want it.
<ASIDE>People who want it really right, however, will use
software intended for formatting to precise typesetting
standards, such as TeX/LaTeX and groff which are both free,
and available for Windows and Unixoid systems, and commercial
products such as McKichan's "Scientific Word", which also
claims to be able to export the results directly to HTML
"with mathematics exported as graphics or as MathML."
For LaTeX and groff too there is the possibility to do it
this way, using embedded graphics for equations (e.g. a
program called LaTeX2HTML, which is another free program).
The advantage of using software which incorporates this
approach is that the user, while preparing the document,
simply types in whatever makes it look right on screen.
Then the ecporting to HTML is a single operation, and the
software takes care of embedding the graphics when required.
However, for the real thing the PDF route is the way to go.
There is no limit to the complexity of what can be represented
in PDF, and no limit to the precision with which it can be
represented. (Whether the software you used to create it can
match this, however, is another question).</ASIDE>
Suppose, then, that you have a suitable Word document.
I've heard (though not experienced) that recent versions of
Word can export to PDF (or there's a converter).
However, if not (or not in your case), then you can print
to file using one of the PostScript printer drivers
(e.g. Apple LaserPlus).
Now you have to convert the PostScript file to PDF. Adobe's
commercial Acrobat Distiller will do this (and is the "industry
standard" since both PostScript and PDF are Adobe's creations).
Free options include ghostscript (whose ps2pdf utility
does the job) and somewhat more refined programs which
are specialised for the job such as Frank Siegert's
PStill.
The resulting PDF file will display the mathematics as
well as (but probably no better than) it appeared in your
original Word document.
Hoping this helps -- and is not too discouraging!
Ted.
--------------------------------------------------------------------
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Date: 14-Oct-05 Time: 01:11:39
------------------------------ XFMail ------------------------------
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Date: Fri, 14 Oct 2005 01:24:33 +0100
Reply-To: Ted Harding <[log in to unmask]>
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<[log in to unmask]>
From: Ted Harding <[log in to unmask]>
Subject: [Apology] RE: Query re html coding for sample mean
In-Reply-To: <[log in to unmask]>
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Sorry, I did not intend to reply to the list. It was an oversight.
Best wishes to all,
Ted.
--------------------------------------------------------------------
E-Mail: (Ted Harding) <[log in to unmask]>
Fax-to-email: +44 (0)870 094 0861
Date: 14-Oct-05 Time: 01:23:53
------------------------------ XFMail ------------------------------
=========================================================================
Date: Fri, 14 Oct 2005 08:22:17 +0100
Reply-To: Marian Scott <[log in to unmask]>
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<[log in to unmask]>
From: Marian Scott <[log in to unmask]>
Organization: Dept of Statistics
Subject: jobs in Glasgow Statistics- reminder
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Content-type: text/plain; charset=US-ASCII
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Dear Colleagues,
> Statistical Vacancies at Glasgow University
--------------------------------
Applications are invited for two positions at the Department of
Statistics, University of Glasgow:
Lecturership in Statistics:
Applicants for this post may have research interests in any area of
Statistics and should have, or expect to obtain shortly, a PhD or
equivalent qualification. A commitment to enhancing the strong
research profile of the Department is essential. Applicants will also
be required to contribute to the teaching programme of the
Department.
For further details go to :
http://www.gla.ac.uk/services/humanresources/recruit/14oct_11633.htm
RCUK Research Fellowship (five year post) in Statistical Methodology
Applicants for this post should have a commitment to enhancing the
strong research profile of the Department and are expected to pursue
a research programme in statistical methodology (with biostatistical
applications).
The Fellow will be guaranteed a permanent academic position within the
University following the end of the 5-year award and subject to the
successful completion of the probationary period.
For further details, go to
http://www.gla.ac.uk/services/humanresources/recruit/14oct_11634.htm
The closing date for applications for both positions is 28th October
2005.
Informal enquires can be addressed to Professor Marian Scott
([log in to unmask]).
See also http://www.stats.gla.ac.uk/ for information on the
Statistics Department.
======================================================
Professor Marian Scott [log in to unmask]
Department of Statistics www.stats.gla.ac.uk/~marian
University of Glasgow Phone: +44(0) 141 330 5125
Glasgow G12 8QW Fax: +44(0) 141 330 4814
======================================================
=========================================================================
Date: Fri, 14 Oct 2005 10:05:36 +0100
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: Keith Briggs <[log in to unmask]>
Subject: Re: Query re html coding for sample mean
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
The official list of characters available in html is at:
http://www.w3.org/TR/html4/sgml/entities.html#h-24.3
It seems that overline exists only as an independent character.
A natural solution is unicode which has combining diacriticals:
http://www.unicode.org/charts/PDF/U0300.pdf
Therefore, this should work:
<meta CONTENT=3D"text/html CHARSET=3DUTF-8">
xİ <!-- should be x overline -->
but I find it is not supported on my browser.
Never use MS Word equation editor. It produces very poor quality =
typesetting.
If you want to use an image, tex2im produces far better results and is =
much easier to use:
http://www.nought.de/tex2im.php
For example, the command "tex2im '\overline{x}'" produces =
http://keithbriggs.info/xbar.png.
Keith
Dr. Keith M. Briggs
Senior Mathematician, Complexity Research
Mobility Research Centre, BT
http://keithbriggs.info/
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]]On Behalf Of Margaret MacDougall
Sent: 13 October 2005 19:40
To: [log in to unmask]
Subject: Query re html coding for sample mean
I would be most grateful for suggestions on how best to code the =
conventional symbol for the sample mean (which I am taking to be a small =
x with a bar immediately above it) in the language of html.
=20
At present, I am using the following approach:
=20
<style type=3D"text/css">
#overline {text-decoration: overline}
</style>
<div id=3Doverline>x,</div>
=20
However, this tends to give a rather make-shift result, as the =
'overline' tends to sit rather aloof from the x. Moreover, the character =
is forced onto a new line and therefore is not embedded in my sentence =
as wished. =20
=20
I have consulted several good html books and discovered that whilst =
listings of characters and codes are made for many characters including =
latin letters with circumflexes, the character I am after is not =
represented.=20
=20
I am learning html almost from scratch and expect that a more =
experienced user could offer some code which has worked for them in the =
past. =20
=20
An alternative approach would be to capture as an image the result of =
creating my desired character using an MS Word equation editor. However, =
this seems a little far fetched for just one character.
=20
Thank you in advance for your suggestions.
=20
Best wishes
Margaret
=========================================================================
Date: Fri, 14 Oct 2005 12:35:46 +0100
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar: An elementary introduction to monotone transportation
MIME-Version: 1.0
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
An elementary introduction to monotone transportation
Professor Keith Ball,Department of Mathematics, University College, London.
Wednesday, 19th October 2005, 2pm
The Whittaker Room (211)
Abstract:
The transportation problem of Monge asks what is the most efficient way to
move a pile of sand into a hole of the same volume? In this talk I will
start by describing the particularly attractive solution, discovered by
Brenier, in the case that the cost of moving sand is proportional to the
square of the distance moved. The rest of the talk will explain why this
transportation is extremely useful in geometry.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 14 Oct 2005 07:36:31 -0400
Reply-To: "Pyke, Stephen" <[log in to unmask]>
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From: "Pyke, Stephen" <[log in to unmask]>
Subject: ANNOUNCE: PSI 1-day scientific meeting -- 18 October 2005
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Repeat of Previous Announcement -- still some places left
Challenges in the Design and Analysis of
Non-inferiority and Equivalence Trials
Leading professionals from industry, regulatory and academia will =
present a
range of interesting and topical issues, which will aid statisticians =
in the
design and understanding of non-inferiority and equivalence trials
Tuesday 18th October 2005
Venue
Royal Statistical Society
12 Errol St
London EC1Y 8LX
10.00 - 10.30 Registration
10.30 - 11.15 Establishing non-inferiority: An overview
11.15 - 11.40 Coffee
11.40 - 12.20 Points to consider on the choice of non-inferiority =
margin
12.20 - 13.00 Switching between non-inferiority and superiority-What =
are
the issues?
13.00 - 14.00 Lunch
14.00 - 14.40 Design and analysis of non-inferiority studies - a =
practical
illustration
14.40 - 15.20 Differing approaches in non-inferiority trial design
analysis between US and EU
15.20 - 15.50 Coffee
15.50 - 16.30 Non-inferiority trials in cardiology - a personal
perspective
16.30 - 17.10 How can we provide evidence to support assay sensitivity
17.10 Meeting Closes
Registration Costs=20
Fee includes lunch & refreshments
PSI Members =A3160 + VAT
Non-Members =A3175 + VAT
Contact
Alison Houghton
Tel: +44 (0)1625 267880 ext 228
Fax: +44 (0)1625 267879 =20
[log in to unmask]
PSI Executive Office
Resources for Associations
South Park Road, Macclesfield
SK11 6SH, UK
On line registration and Payment is now possible using Credit Card via =
the
Website: www.psiweb.org
=========================================================================
Date: Fri, 14 Oct 2005 07:45:06 -0400
Reply-To: "Pyke, Stephen" <[log in to unmask]>
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From: "Pyke, Stephen" <[log in to unmask]>
Subject: ANNOUNCE: PSI 1-day scientific meeting -- 6 December 2005
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Issues and Challenges in the CNS Therapeutic Area
This meeting will feature presentations by statisticians and clinicians
from a variety of backgrounds and will address issues across a range of
CNS indications.
Tuesday 6th December 2005
Venue
Browns Courtrooms
82 - 84 St Martin's Lane
Covent Garden
London WC2N 4AA
09.30 - 10.00 Registration
10.00 - 10.40 Challenges for clinical trials in epilepsy
10.40 - 11.20 An adaptive design to characterise the dose
response curve in the neuropathic pain area
11.20 - 11.40 Coffee=20
11.40 - 12.20 Design issues in movement disorder trials
12.20 - 13.00 Validation of a rating scale for a subjective
measure of symptomatology in a neurology indication
13.00 - 14.00 Lunch
14.00 - 14.40 Where does it hurt and by how much? Can Functional
Magnetic Resonance Imaging (fMRI) help?=20
14.40 - 15.20 Pitfalls in current and future clinical trials in
dementia
15.20 - 15.40 Coffee=20
15.40 - 16.20 Dose finding in SSRIs
=20
16.20 Meeting Closes
Meeting abstracts available at www.psiweb.org
Registration Costs=20
Fee includes lunch & refreshments
Registration before 12th September 2005
PSI Members =A3110 + VAT
Non-Members =A3125 + VAT
Registration on or after 12th September 2005
PSI Members =A3160 + VAT
Non-Members =A3175 + VAT
Contact
Alison Houghton
Tel: +44 (0)1625 267880 ext 228
Fax: +44 (0)1625 267879 =20
[log in to unmask]
PSI Executive Office
Resources for Associations
South Park Road,
Macclesfield SK11 6SH, UK
On line registration and payment is now possible using Credit Card via =
the
Website: www.psiweb.org
=========================================================================
Date: Fri, 14 Oct 2005 12:57:09 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
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<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Value of binary logistic regression in medical research
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I would be most appreciative for any recommendations for good journal
articles (ideally medically related) which explain the purpose of binary logistic regression in a cross-sectional study. The motivation for my query derives from my observing some confusion regarding usage of the notions 'predictive'
and 'causal' with reference to the factors involved. I have read some
recommendations to drop the notion 'predictive' and stick to the notion
of 'association between factor and outcome'. However, I am tempted to
believe that this was due to a confusion between the notions of
'predictive' and 'causal'. I would therefore value being able to
appeal to a lucid paper that settles the confusion 'once and for all'.
It would be good also if this query stimulated some informative
discussion or if necessary, debate.
Apologies for cross-posting
Regards
Margaret
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Date: Fri, 14 Oct 2005 13:41:19 +0100
Reply-To: Matz David <[log in to unmask]>
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From: Matz David <[log in to unmask]>
Subject: FW: Advert:- Head of Asylum Statistics (A-Stats),
Immigration Res earch and Statistics Service, Home Office
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Everyone
=20
I=20will=20be=20moving=20on=20shortly.=20The=20advert=20for=20my=20post=20=
=20(see=20details=20below=20or
link
http://jobs.guardian.co.uk/browse/government/central-government/vacancy-10=
22
838-3.html
<http://jobs.guardian.co.uk/browse/government/central-government/vacancy-1=
02
2838-3.html>=20)=20
may=20be=20of=20interest=20to=20people=20you=20are=20aware=20of.=20If=20yo=
u=20follow=20the=20link=20to=20the
actual=20newspaper=20advert=20(see=20below=20or=20from=20the=20link),=20yo=
u'll=20see=20there=20are
also=20two=20posts=20in=20Home=20Office=20working=20on=20UK=20crime=20stat=
istics,=20which=20may=20also
be=20of=20interest=20to=20people=20you=20know.
=20
Please=20do=20feel=20free=20to=20forward=20to=20others.
=20
Hope=20that=20this=20helps.
=20
Regards
=20
=20
David=20Matz
Head=20of=20Asylum=20Statistics=20(A-Stats)
Immigration=20Research=20and=20Statistics=20Service
Home=20Office
020=208760=208361
=20
[ps=20location=20is=20Croydon,=20not=20Central=20London=20as=20inadvertent=
ly=20listed=20on=20the
Guardian's=20website]
=20
=20
Head=20of=20Asylum=20Statistics=20Section
=20[link=20to=20newspaper=20job=20advert=20=20http://jobs.guardian.co.uk/p=
df/1022838-3.pdf
<http://jobs.guardian.co.uk/pdf/1022838-3.pdf>=20]=20=20
Organisation:=20Home=20Office=20
Location:=20Croydon,=20London
Salary:=20=A338,556=20-=20=A352,277=20plus=20benefits=20
Date=20posted:=2011=20Oct=2005=20
Closing=20date:=2026=20Oct=2005=20
=20
Job=20description
Home=20Office
BUILDING=20A=20SAFE,=20JUST=20AND=20TOLERANT=20SOCIETY
COUNTING=20ON=20A=20SAFE,=20JUST=20AND=20TOLERANT=20SOCIETY
G7=20STATISTICIANS
=A338,556=20-=20=A352,277=20PLUS=20UP=20TO=20=A32,600=20LONDON=20LOCATION
ALLOWANCE=20(PAY=20AWARD=20PENDING)
Use=20your=20talent=20with=20numbers=20to=20make=20a=20difference=20in=20a=
=20new=20way.=20By=20building
and=20modernising=20the=20statistical=20framework=20within=20the=20Home=20=
Office=20your
efforts=20will=20be=20realised=20with=20national=20impact.=20As=20you=20pr=
oduce=20and=20analyse
statistics=20from=20a=20range=20of=20sources,=20you'll=20work=20with=20ind=
ividuals=20and
organisations=20towards=20creating=20a=20safe,=20just=20and=20tolerant=20s=
ociety.
Specifically,=20you=20may=20target=20and=20reduce=20crime=20and=20the=20fe=
ar=20of=20crime,=20or=20you
may=20contribute=20to=20the=20management=20of=20immigration=20in=20the=20i=
nterests=20of
Britain's=20security,=20economic=20growth=20and=20social=20stability.=20Yo=
u=20may=20help
educate=20the=20public=20on=20their=20real=20risks=20of=20crime,=20as=20re=
ported=20by=20the=20British
Crime=20Survey.=20You=20may=20also=20produce=20high=20profile=20National=20=
Statistics=20in=20the
areas=20of=20crime=20or=20immigration,=20to=20provide=20essential=20data=20=
for=20policy=20and
operations=20in=20these=20areas.
You'll=20be=20responsible=20for=20your=20own=20team,=20so=20you'll=20build=
=20upon=20your=20already
strong=20management=20abilities.=20Communication=20skills=20should=20also=20=
be=20sharp=20for
presenting=20information=20clearly=20to=20policy=20makers=20and=20Minister=
s.=20Taking
initiative=20as=20a=20creative=20problem=20solver=20will=20be=20important=20=
in=20modernising
statistical=20systems=20overall.
These=20are=20high-level=20roles=20and=20call=20for=20candidates=20with=20=
a=20first-=20or
second-class=20degree.=20Four=20years'=20related=20experience=20is=20desir=
able=20too.=20You
may=20already=20be=20working=20for=20another=20Government=20department,=20=
which=20will=20also
help=20ease=20your=20transition=20into=20the=20role.=20If=20you're=20up=20=
for=20the=20challenge,
we're=20sure=20you'll=20be=20pleased=20with=20how=20your=20skills=20can=20=
make=20a=20difference.
Quoting=20reference=2044581.
THE=20HOME=20OFFICE=20IS=20COMMITTED=20TO=20A=20POLICY=20OF=20EQUAL=20OPPO=
RTUNITY=20FOR=20ALL=20STAFF
AND=20WE=20WILL=20NOT=20DISCRIMINATE=20ON=20GROUNDS=20OF=20GENDER,=20ETHNI=
C=20ORIGIN,
DISABILITY,=20SEXUAL=20ORIENTATION,=20FAITH=20OR=20ANY=20OTHER=20FACTOR=20=
IRRELEVANT=20TO=20A
PERSON'S=20WORK.
-=20POSITIVE=20ABOUT=20DISABLED=20PEOPLE
INVESTOR=20IN=20PEOPLE
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http://jobs.guardian.co.uk/browse/government/central-government/vacancy-10=
22
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<http://jobs.guardian.co.uk/browse/government/central-government/vacancy-1=
02
2838-3.html>=20
=20
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=20they=20are=20addressed.I
=20f=20you=20have=20received=20this=20email=20in=20error=20please=20return=
=20it=20to=20the=20address=20
it=20came=20from=20telling=20them=20it=20is=20not=20for=20you=20and=20then=
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Date: Fri, 14 Oct 2005 08:20:57 -0700
Reply-To: Babak Oskooei <[log in to unmask]>
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<[log in to unmask]>
From: Babak Oskooei <[log in to unmask]>
Subject: Re: Model building in different disciplines
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Dear All,
Criteria for building models
I have a question which might encompass broad
community involved in statistics. My question is about
criteria used in building multivariate statistical
models in different disciplines (to name some
Economics, Physics, Meteorology, Psychology and
Agriculture).
My question is mainly concerned with assessing
prognostic ability of multivariate models and how it
is assessed in these disciplines (for example,
measures for selecting the best set of prognostic
variables or measures for evaluating the accuracy of
predictions in each of these scientific fields).
I am familiar with measures like R-squared, C index,
Cp and some other common measures but I am interested
to know if any particular measure is used/developed
specifically in these disciplines.
Any comment is very much appreciated.
Best regards
Babak Oskooei
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Date: Fri, 14 Oct 2005 17:33:20 +0100
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: Contract Biostatistician - Working from home
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Contract Biostatistician - Working from home
=20
Salary: GBP 40-50ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Europe=20
=20
Background:=20
=20
My client requires a statistical expert to join there team of an initial
6 month period. The contract will run from the beginning of November and
has the possibility of extension. There is the capacity to operate a
majority of the contract from home, with only a few day required on site
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clinical statistics position.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
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=20
To apply, reply with an up to date CV quoting 'grv-4118'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
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e: [log in to unmask] =20
=20
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Date: Fri, 14 Oct 2005 19:58:10 +0200
Reply-To: =?iso-8859-8-i?B?9un06SDl4+XjIPnl5+g=?= <[log in to unmask]>
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<[log in to unmask]>
From: =?iso-8859-8-i?B?9un06SDl4+XjIPnl5+g=?= <[log in to unmask]>
Subject: BMJ article
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There is an article published in the BMJ (allstat does'nt accept =
attachments, sorry) on left handedness and risk of breast cancer.
It recalls an article that was published a number of years ago in the =
NEJM claiming that left-handed people had a shorter life expectancy.
The result in the breast cancer study is valid only for pre-menopausal =
women with normal BMI.
I don't claim to be an expert, but might this be a case of analyzing =
sub-samples until the (0.05) jackpot is hit?
If enough tests on a large cohort are run, something is bound to turn =
up.
Comments anyone?
Tzippy
=========================================================================
Date: Fri, 14 Oct 2005 11:57:39 -0700
Reply-To: Mary Swinson <[log in to unmask]>
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From: Mary Swinson <[log in to unmask]>
Subject: Query - Book recommendation Bayes
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Dear Allstat,
I have a passing knowledge of Bayes and am looking for a basic book on
the practical application of Bayesian methods, complete with the theory
and examples. In particular as an alternative to traditional hypothesis
testing.
Any recommendations would be most welcome.
Thanks
Mary.
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Date: Sat, 15 Oct 2005 10:01:32 +0100
Reply-To: Doug Altman <[log in to unmask]>
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<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: Re: MEDSTATS: Cancer and handedness
Comments: To: [log in to unmask]
Comments: cc: [log in to unmask], [log in to unmask]
In-Reply-To: <00a901c5d0f8$36badd50$0200000a@zipi>
Mime-Version: 1.0
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With respect I think you should take care when trying to assess one paper=20
in an area when you are admittedly not an expert.
Both the infamous NEJM letter (it was not a peer reviewed paper) and the=20
EJC paper you just found are seriously flawed (see my published letter=20
regarding the latter).
I also question the simultaneous posting of emails to 3 lists.
That said, the epidemiological literature is full of such studies, where=20
one may certainly wonder what degree of selection went on - both selection=
=20
within the study (eg reporting only a subset of subgroup analyses) and=20
across studies (notably non-publication of 'uninteresting findings). the=20
fact that the authors find some plausible explanation is generally of low=20
value in my opinion.
The following recent paper is highly relevant in this context:
Ioannidis JP.
Why most published research findings are false.
PLoS Med. 2005 Aug;2(8):e124.
which is freely available at
http://medicine.plosjournals.org/archive/1549-1676/2/8/pdf/10.1371_journal.p=
med.0020124-L.pdf
Doug
At 20:48 14/10/2005, =3D?iso-8859-8-i?B?9un06SDl4+XjIPnl5+g=3D?=3D wrote:
>I followed a suggestion to search for articles linking right-handeness to=
=20
>cancer. Look what I found:
> From Tzippy
>
>Research Papers
>
>Epidemiologic correlates of breast cancer laterality (Sweden)
>
>Anders Ekbom1, 2 [], Hans-Olov Adami1, 2, Dimitrios Trichopoulos2, Mats=
=20
>Lambe1, 3, Chung-cheng Hsieh2 and Jan Pont=E9n4
>(1) Cancer Epidemiology Unit, University Hospital, S-751 85 Uppsala,=
Sweden
>(2) Department of Epidemiology, Harvard School of Public Health, Boston,=
USA
>(3) Department of Social Medicine, University Hospital, Uppsala, Sweden
>(4) Department of Pathology, University Hospital, Uppsala, Sweden
>
>Received: 2 May 1994 Accepted: 27 June 1994
>Abstract Breast cancer laterality was studied in relation to age in=20
>80,784 cases of invasive and 3,835 cases of pre-invasive breast cancer in=
=20
>women and 548 cases of invasive breast cancer in men reported to the=20
>Swedish Cancer Registry, 1970=9689. In a subset of 11,274 women with=20
>invasive disease, data on parity were available through the Swedish=20
>Fertility Registry. Laterality also was evaluated in relation to age and=20
>reproductive variables in 3,986 cases from an international study from the=
=20
>1960s. The overall incidence of pre-invasive and invasive cancer was=20
>higher in the left than in the right breast among both women and men. The=
=20
>excess incidence of invasive cancer in the left breast was evident only=20
>after the age of 45 years in women; a similar phenomenon may exist with=20
>pre-invasive disease in women and in men. The age-dependent laterality=20
>pattern did not appear to be confounded by menopausal status. Among women=
=20
>younger than 45 years, nulliparity, right handedness, and late age at=20
>menarche was associated with a somewhat higher incidence of cancer in the=
=20
>right breast. The laterality findings are likely to be due to factors=20
>operating early in the carcinogenic process, perhaps at the pre-initiation=
=20
>stage.
>
>
_____________________________________________________
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
=========================================================================
Date: Sat, 15 Oct 2005 12:43:10 +0100
Reply-To: Doug Altman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: Re: MEDSTATS: Cancer and handedness
Comments: To: [log in to unmask]
Comments: cc: [log in to unmask], [log in to unmask]
In-Reply-To: <00a901c5d0f8$36badd50$0200000a@zipi>
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
My apologies. The published letter I referred to was about a different=20
Swedish study in a different journal a few years earlier. I have not read=20
the paper by Ekbom et al, and cannot comment on it.
(BTW, The reference of that article is Cancer Causes Control. 1994=20
Nov;5(6):510-6. )
I note that a search for "cancer AND handedness" on PubMed gives 871 hits.=
=20
the recent paper should not be viewed in isolation.
Doug
At 20:48 14/10/2005, =3D?iso-8859-8-i?B?9un06SDl4+XjIPnl5+g=3D?=3D wrote:
>I followed a suggestion to search for articles linking right-handeness to=
=20
>cancer. Look what I found:
> From Tzippy
>
>Research Papers
>
>Epidemiologic correlates of breast cancer laterality (Sweden)
>
>Anders Ekbom1, 2 [], Hans-Olov Adami1, 2, Dimitrios Trichopoulos2, Mats=
=20
>Lambe1, 3, Chung-cheng Hsieh2 and Jan Pont=E9n4
>(1) Cancer Epidemiology Unit, University Hospital, S-751 85 Uppsala,=
Sweden
>(2) Department of Epidemiology, Harvard School of Public Health, Boston,=
USA
>(3) Department of Social Medicine, University Hospital, Uppsala, Sweden
>(4) Department of Pathology, University Hospital, Uppsala, Sweden
>
>Received: 2 May 1994 Accepted: 27 June 1994
>Abstract Breast cancer laterality was studied in relation to age in=20
>80,784 cases of invasive and 3,835 cases of pre-invasive breast cancer in=
=20
>women and 548 cases of invasive breast cancer in men reported to the=20
>Swedish Cancer Registry, 1970=9689. In a subset of 11,274 women with=20
>invasive disease, data on parity were available through the Swedish=20
>Fertility Registry. Laterality also was evaluated in relation to age and=20
>reproductive variables in 3,986 cases from an international study from the=
=20
>1960s. The overall incidence of pre-invasive and invasive cancer was=20
>higher in the left than in the right breast among both women and men. The=
=20
>excess incidence of invasive cancer in the left breast was evident only=20
>after the age of 45 years in women; a similar phenomenon may exist with=20
>pre-invasive disease in women and in men. The age-dependent laterality=20
>pattern did not appear to be confounded by menopausal status. Among women=
=20
>younger than 45 years, nulliparity, right handedness, and late age at=20
>menarche was associated with a somewhat higher incidence of cancer in the=
=20
>right breast. The laterality findings are likely to be due to factors=20
>operating early in the carcinogenic process, perhaps at the pre-initiation=
=20
>stage.
>
>
_____________________________________________________
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
=========================================================================
Date: Sat, 15 Oct 2005 13:37:24 +0100
Reply-To: Chris Kershaw <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Kershaw <[log in to unmask]>
Subject: Joint Royal Statistical Society and Social Research Association
lecture on Public Confidence in Official Statistics - 15 November
2005
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Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Royal Statistical Society Social Statistics Section
and the Social Research Association
=20
15 November 2005, 5.00pm, at the Royal Statistical Society (tea from =
4.30pm)
=20
The 2005 Cathie Marsh Memorial Lecture
=20
Public Confidence in Official Statistics=20
=20
Each year, the government spends millions of pounds producing official
statistics. But do policy actors and the public understand and trust
official statistics and what are the implications of a lack of trust for
policy debates? These are some of the issues that will be raised at this
year's annual Cathie Marsh Memorial lecture.
=20
Mike Hughes (Director of the National Statistics and Planning Group, =
ONS)
will talk about recent ONS research, outlining the genesis of the work, =
the
methods used, what the results have told us about trust in official
statistics and the issues raised by the research. Suzanne Hall, (Qual
HotHouse team, MORI) will talk about the results of a recent qualitative
study with key opinion formers, addressing the reasons for a growing
mistrust in government statistics and ways in which it could be =
combatted.
The final speaker is Simon Briscoe (Economics Editor, Financial Times),
author of the recently published 'Britain in Numbers: The Essential
Statistics'. =20
=20
Alison Park from the National Centre for Social Research and co-director =
of
the British Social Attitudes since 1994 will be the discussant for the
presentations. David Rhind, Chairman of the Statistics Commission and =
Vice
Chancellor of City University, will chair this exciting and informative
event.=20
=20
The lecture will take place at the Royal Statistical Society =
headquarters,
12 Errol Street, London, EC1Y 8LX (see
http://www.rss.org.uk/about/direction.html for a map and directions). It
starts with tea/coffee at 4:30pm, and ends with a drinks reception at
7:00pm, kindly sponsored by BMRB International. There is no charge for =
this
event, however demand for places is expected to be high. It is strongly
recommended that you register in advance either by email =
[log in to unmask]
or by phone 020 7638 8998.
=20
=20
The Royal Statistical Society and Social Research Association look =
forward
to welcoming you.
Sponsored by BMRB
=========================================================================
Date: Mon, 17 Oct 2005 10:36:00 +0100
Reply-To: Roger W Humphry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roger W Humphry <[log in to unmask]>
Organization: SAC
Subject: ANNOUNCE: Course Reminder-Risk Analysis, Scotland
Comments: cc: huybert Groenendaal <[log in to unmask]>
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
Dear Colleagues,
please be reminded of this opportunity to take a course in Quantitative Ri=
sk
Analysis at a reasonable price in Inverness. The 3 day course will
be on 28-30 November. Price is =A3675 (and a 10% discount if
booked before the end of this week - 21st October).
It is run by Vose Consulting - a US
company. The course will be very relevant to
individuals involved in statistics, risk modelling, risk analysis.
For more details please visit the vose
web-site:
http://www.risk-modelling.com/training_iqra.htm
Yours Sincerely,
Roger Humphry
=========================================================================
Date: Mon, 17 Oct 2005 12:15:27 +0100
Reply-To: John Whittington <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Whittington <[log in to unmask]>
Subject: Re: MEDSTATS: Re: Cancer and handedness
Comments: To: [log in to unmask]
Comments: cc: [log in to unmask], [log in to unmask]
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
At 10:01 15/10/05 +0100, Doug Altman wrote (in small part):
>That said, the epidemiological literature is full of such studies, where
>one may certainly wonder what degree of selection went on - both selection
>within the study (eg reporting only a subset of subgroup analyses) and
>across studies (notably non-publication of 'uninteresting findings).
Indeed, but as Ted has pointed out, it's rather difficult to see why either
of those types of selection would result in bias of published findings
towards either left- or right-handedness. If a review/meta-analysis of
published results did seem to suggest a result in one direction or the
other, then I think there would definitely be 'a case to answer'.
It is obviously very easy to dismiss any such findings as 'far
fetched'. However, as for 'plausible explanations', it's not that hard to
believe that handedness might influence the 'laterality' (right or left
breast) of breast cancer - and if there were morbility/mortality
differences between cancers of the right and left breasts (again, far from
impossible, because of anatomical considerations of venous and lymphatic
drainage) that could, I suppose, lead to a relationship between handedness
and morbidity/mortality. If we were talking, say, about cervical cancer, I
would be far less inclined to entertain the possibility of 'plausible
explanations'.
Kind Regards,
John
----------------------------------------------------------------
Dr John Whittington, Voice: +44 (0) 1296 730225
Mediscience Services Fax: +44 (0) 1296 738893
Twyford Manor, Twyford, E-mail: [log in to unmask]
Buckingham MK18 4EL, UK [log in to unmask]
----------------------------------------------------------------
=========================================================================
Date: Mon, 17 Oct 2005 12:25:02 +0100
Reply-To: John Whittington <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Whittington <[log in to unmask]>
Subject: Apologies Re: MEDSTATS: Re: Cancer and handedness
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
My apologies for having unintentionally sent copies of my recent MedStats
posting (in response to a posting by Doug Altman) to the Allstat and
Scifraud lists. I had not noticed that Doug addressed his posting to 3
lists simultaneously, and my mail client's 'Reply to All' feature did the rest!
Kind Regards,
John
----------------------------------------------------------------
Dr John Whittington, Voice: +44 (0) 1296 730225
Mediscience Services Fax: +44 (0) 1296 738893
Twyford Manor, Twyford, E-mail: [log in to unmask]
Buckingham MK18 4EL, UK [log in to unmask]
----------------------------------------------------------------
=========================================================================
Date: Mon, 17 Oct 2005 13:12:05 +0100
Reply-To: Tristan Barnfather <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: JOB: Epidemiology Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
My client is looking for an Epidemiology Programmer to be based on site in
the South East for an initial 6 month contract.
Main responsibilities will be;
* Collaborate with research teams in conducting epidemiological studies
utilizing large national/international cross-sectional and longitudinal
healthcare databases.
* Provide statistical programming, database management and systems analysis
support and consultation for epidemiologic database research projects
relating to disease natural history, burden of illness and drug safety.
* Investigate, evaluate and apply new methods, technologies and tools for
efficient accessing, processing, management, analysis and communication of
observational research data.
* Develop, implement and maintain standards for computer program development
and validation, and for data storage, quality and reporting.
You will have excellent SAS and SQL skills with at least 2 years pharma/CRO
experience.
Please contact me using the number below for further information.
Many thanks
Tristan
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask]
www.srginteresource.com
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Date: Mon, 17 Oct 2005 14:21:23 +0100
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: SPSS USERS MEETING 2005 REMINDER
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
DEADLINE FOR BOOKING IS THURSDAY 3RD NOVEMBER 2005
ASSESS: SPSS USERS" GROUP, 19th ANNUAL MEETING
FRIDAY 11TH NOVEMBER 2005
ALCUIN RESEARCH RESOURCE CENTRE AUDITORIUM
UNIVERSITY OF YORK, YORK
ASSESS is an independent user group for SPSS, a computer package for analysing
and presenting data. It is run by users, for users and is completely independent
of manufacturers of the software. The meeting is open to all users of SPSS and
to anyone interested in SPSS.
Come along to:
* hear SPSS users talk about applications,the problems and solutions
* hear the latest news from SPSS UK staff about product developments,
and put your questions to them
* question a panel of experts about particular problems
* exchange ideas with other SPSS users
* plan for an even better user group.
The venue is the Alcuin Research Resource Centre (ARRC) on York University campus located in
Heslington, 2 miles to the south-east of the city centre. It takes 10-15 minutes in a
taxi from the railway station. Buses also go to the University
(See http://www.york.gov.uk/roads/bus/). University Parking and location details are at
http://www.york.ac.uk/np/maps/. Accommodation is bookable via tourist information on
(01904) 621756 or (01904) 554455.
THE PROVISIONAL PROGRAMME**
* Welcome and introduction to meeting
* SPSS company and product news; SPSS software demonstrations
* Ordered logistic regression Using PLUM
by Venkata Putcha, Thames Cancer Registry
* Issues in using SPSS in an educational research environment
by Ian Schagen, National Foundation for Education Research
* The use of SPSS in Market Research: segmentation and profiling of customers
by Kate Grayson, Statistics by Design
* Common SPSS procedures on health and medical data
by Elizabeth Wiredu, Edgehill College
* Lovely lucid logistics: the analysis and graphic presentation of
effects of nominal and metric variables on binary outcomes
by Diana Kornbrot, University of Hertfordshire
* Users" Question Time and Clinic
* Annual General Meeting of ASSESS.
Registration and coffee will start at 9-45am. Papers and other events will run
from 10.15am to about 5.10pm. Coffee, lunch and afternoon tea are included
in the registration fee. A timetable will be e-mailed to delegates in advance
of the meeting.
______________________
** The titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
ASSESS : SPSS USERS' GROUP
Friday 11th November 2005, ARRC auditorium, University of York
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received. Payment possible by BACS. Details on request.
Name: ______________________________ Tel: ____________________
Email: ______________________________ Fax: ____________________
Job Title: ___________________________________
Organization: ___________________________________
Address: ___________________________________________________
___________________________________________________
_______________________ Postcode _______________
Strike out the sections which do not apply to you, or otherwise amend as
appropriate:
INDIVIDUAL BOOKING. Please reserve a place for me, at a cost of 45 GBP.
CORPORATE BOOKING. (Enter the appropriate amounts)
Please reserve ______ places, at a cost of _____GBP (45 GBP for the first
person and 40 GBP for each subsequent person).
Names of attendees : 1. _______________________________________
(for badges) 2. _______________________________________
3. _______________________________________
4. _______________________________________
5. _______________________________________
STUDENT (POST-GRADUATE) BOOKING. (Enclose photocopied evidence of status
for 2005-2006 academic year). Please reserve for me one of the student
places, at a cost of 25 GBP.
Specify vegetarian or other dietary requirements, if any:
________________________________________________________________
Cheque or official order enclosed for _______GBP
For official orders please also give here the number and address for invoicing:
________________________________________________________________
________________________________________________________________
________________________________________________________________
Return completed forms to: Peter Watson, MRC Cognition and Brain
Sciences Unit, 15 Chaucer Road, Cambridge, CB2 2EF.
Telephone enquiries about bookings: 01223 355294 x801 (has an answerphone)
E-mail enquiries about bookings: [log in to unmask]
(important: put "ASSESS" in the Subject field)
=========================================================================
Date: Mon, 17 Oct 2005 14:33:00 +0100
Reply-To: Chris Ladroue <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Ladroue <[log in to unmask]>
Subject: Re: Query re html coding for sample mean
Comments: To: Margaret MacDougall <[log in to unmask]>
On Thu, 13 Oct 2005 19:39:50 +0100, Margaret MacDougall wrote:
>I would be most grateful for suggestions on how best to code the
conventional symbol for the sample mean (which I am taking to be a small x
with a bar immediately above it) in the language of html.
> (...)
>An alternative approach would be to capture as an image the result of
creating my desired character using an MS Word equation editor. However,
this seems a little far fetched for just one character.
Hi,
Probably overkill for that particular query but when I need to write maths
in html, I use a very useful cgi called mimeTeX:
http://www.forkosh.com/mimetex.html
Once installed, you simply write the LaTeX code as you usually would, and
the picture is generated on the fly. You can also leave it in the cache
(better if the page receives a lot of hits).
It's fairly easy to install and doesn't require TeX. Just ask your sysadmin
if you're having difficulties. The page also refers to other solutions.
Hope it helps,
Chris
--
Christophe Ladroue, Research Assistant
St George's Hospital Medical School(London) / University of Sussex
http://www.informatics.sussex.ac.uk/users/chrisla
=========================================================================
Date: Mon, 17 Oct 2005 14:39:52 +0100
Reply-To: Zoe Bennett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Subject: JOB: SPSS Analytical Contractor required for Leading DM Agency
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
=20
SPSS contractor required for leading Direct Marketing agency based in =
London. =20
=20
You will have excellent analytical skills with knowledge of SPSS. You =
must have a good understanding of statistical techniques including =
regression and cluster analysis. =20
=20
The contract is for an initial 3 months with the possibility of the role =
going permanent dependent on the level of work.=20
=20
Rates are circa =A3240 per day=20
=20
Please apply to the details below (rather than replying to this email).
=20
Best Regards,=20
=20
Nick Edwards
Head of Direct Marketing Recruitment
=20
[log in to unmask] =
<mailto:[log in to unmask]>=20
BLUE PELICAN GROUP=20
=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
http://www.bluepelicangroup.com/ <http://www.bluepelicangroup.com/>=20
Pelican House, Gibbs Reed Farm,
Ticehurst, East Sussex TN5 7HE
=20
=20
=20
Blue Pelican Group provide a professional and ethical recruitment =
service. It is our policy not to
distribute any candidate information without prior consent from the =
candidate.
All information in this email transmission, including financial and =
numerical information, is strictly private and=20
confidential, and subject to change, correction and completion. If you =
have received this email in error, please notify the sender and delete =
the email and all attachments immediately. This email (including any =
attachments) may contain confidential or privileged information or both. =
If you are not the intended recipient, any reliance on, use, disclosure, =
dissemination, distribution or copying of this email or attachments is =
strictly prohibited.=20
=20
We have checked for viruses, but the contents of an attachment may still =
contain software viruses which could damage your computer system. We do =
not accept liability for any damage you sustain as a result of a virus =
introduced by this email or any attachment, and you are advised to use =
up-to-date virus checking software. We do not guarantee any email =
transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance =
with the Lawful Business Practice Regulations and the Data Protection =
Act. Senders of messages shall be taken to consent to the monitoring and =
recording of emails addressed to our employees.
=========================================================================
Date: Mon, 17 Oct 2005 16:57:33 +0100
Reply-To: "Peter Ring - Co-Ordinator @EMPHO" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter Ring - Co-Ordinator @EMPHO" <[log in to unmask]>
Subject: JOBS - Public Health Analysts at EMPHO
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
EAST MIDLANDS PUBLIC HEALTH OBSERVATORY
=20
Public Health Analyst posts
=20
(1) Trainee Analyst (=A317,714-=A321,549) - Ref: 595-244-05C
(2) Analyst (=A321,549-=A325,212) - Ref: 595-245-05C
(3) Senior Analyst (c=A330,000) - Ref: 595-246-05C
(All posts are subject to Agenda for Change job evaluation)
=20
HOURS: Full time: 37=BD hours (secondments and part time applicants =
will be considered)
Temporary up to two years in the first instance
Opportunity for funded postgraduate study
=20
Following an expansion of our work programme in response to "Choosing =
Health" we are looking to appoint to new public health analyst posts at =
the East Midlands Public Health Observatory (EMPHO) based near =
Mansfield. The postholder(s) will provide analytical support to NHS and =
other organisations working to improve health and reduce health =
inequalities in the East Midlands.
=20
For the analyst and senior analyst posts, you will be a graduate with =
highly developed self-management, team working and communication skills, =
and a firm base of knowledge and skills in data management, analysis and =
interpretation. Working with an existing team of experienced analysts =
you will have extensive opportunities to further develop your knowledge =
and skills. These posts are eligible for supported career training and =
development.
=20
The trainee analyst post (currently shared with North Derbyshire PCTs) =
has the opportunity to enrol for a fully funded Master of Public Health =
or similar relevant course.
=20
The successful postholders will have opportunities to work closely with =
PCTs and other NHS organisations or local authorities in the East =
Midlands through work placement or secondment.
=20
For an informal discussion about these posts, please EMPHO on 01623 =
812069
=20
Applications can be made via NHS jobs at http://www.jobs.nhs.uk =
<http://www.jobs.nhs.uk> or telephone 01623 812069 or e-mail =
[log in to unmask] <mailto:[log in to unmask]> for an =
application pack. Please indicate which post you would like to apply =
for. =20
EMPHO website: www.empho.org.uk <http://www.empho.org.uk/>=20
=20
Successful candidates may be required to apply for a Criminal Records =
Bureau check.=20
The PCT is working towards being completely smoke free by 2006
We are committed to equality of opportunity and diversity in employment. =
Applications are welcomed from all sectors of the community and we aim =
to recruit a diverse workforce that reflects the people we serve.
CLOSING DATE: Friday 4th November 2005=20
INTERVIEW DATE: week commencing 14th November 2005 =20
=========================================================================
Date: Mon, 17 Oct 2005 17:49:31 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - STATISTICAL PROGRAMMER
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - STATISTICAL PROGRAMMER
=20
Salary: GBP 40ph=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
I have an opening for 3-6 months for a Statistical Programmer to offer
technical expertise in SAS v9 as well as assistance with project work on
phase III studies. This will also involve application development to
restructure their system to allow remote working. Candidates will
require 5+ years within a clinical biostatistics environment with
experience of SAS v9.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting reference
'grv-4119'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 17 Oct 2005 18:29:05 +0100
Reply-To: "Macfarlane, Alison" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Macfarlane, Alison" <[log in to unmask]>
Subject: Health statistics users group email list - message from new
listowner
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
If you are a member of the Health Statistics Users Group jiscmail list =
HSUG, but haven't had any news for some time, there may be a reason for =
this. The original list-owner left her job, but didn't resign and pass =
the task on to someone else. The Committee has now passed this task on =
to me. On examining the membership list, I found a number of people had =
email addresses at now-defunct NHS bodies and old email addresses for =
some people who I know have changed their jobs. So if you are a member =
but didn't get my previous message, sent to the hsug list, you might =
like to consider joining again.=20
This is also an invitation to new people to join. We are now part of the =
Statistics Users Forum and are planning a new programme of meetings and =
activities and a new web site. All you have to do join the email list is =
send the following message.
subscribe hsug [your name]
to [log in to unmask]
To find out more about our past acitivities, go to =
http://www.hsug.org.uk At present this takes you to the user area on the =
ONS web site, but it will be pointed elsewhere in the not too distant =
future.
Alison Macfarlane
Alison Macfarlane
Department of Midwifery
City University
24 Chiswell Street
London EC1Y 4TY
Phone (0) (44) 207 040 5832
Fax (0) (44) 207 040 5866
Email [log in to unmask]
=========================================================================
Date: Mon, 17 Oct 2005 19:27:13 -0400
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: QUERY: Survival Analysis
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Dear All,
I am modelling time to onset of a particular disease with three
covariates x1, x2, x3 and the interaction x1*x3 using Survival
Analysis. All the covariates except x1 was significant during
univariate analysis but was kept in the model due to its importance
based on other research. In the final model: HR =3D
exp(b1x1+b2x2+b3x3+b4x1*x3) only x1 was not significant where HR is
hazard ratio. Any suggestions on where to go from here? Since x1*x3 is
significant and x1 was not, How does one handle such a situation?
Raphael
=========================================================================
Date: Tue, 18 Oct 2005 16:34:03 +0930
Reply-To: Chris Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brien <[log in to unmask]>
Subject: JOB: Lecturer (Mathematics and Statistics) at University of South
Australia
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Please do not reply to me - see the web site below for how to enquire
Apologies for cross-posting
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3DJob
advertisement=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Lecturer: Level B Continuing
Total Remuneration Package: $70K - $83K
School of Mathematics and Statistics, University of South Australia
An outstanding teacher of financial mathematics and/or statistics is
required for the School of Mathematics and Statistics.
The School has a strong research program under the umbrella of the
Centre for Industrial and Applied Mathematics (CIAM) and is involved in
three CRCs. It also delivers two undergraduate programs, an Honours
program and a Masters in Quantitative Finance by coursework. In addition
to this, the School provides service teaching and is establishing the
University-wide Statistical Consulting and Research Service.
The successful applicant will be expected to have a PhD in Financial
Mathematics, Actuarial Mathematics or Statistics, and a record of
research in one or more of these areas. They will contribute to the
undergraduate teaching program, including service teaching, research and
statistical consulting activities and to curriculum and program
development.=20
Job applications close 5pm Friday November 18 2005.
All further details, contacts and criteria for this position are now
available by visiting our website at:
http://www.unisa.edu.au/hrm/careers/default.asp
=20
The University is an Equal Opportunity Employer.
Employer of Choice for Women.
People of Aboriginal Australian and Torres Strait Islander cultural and
linguistic background are encouraged to apply.
=========================================================================
Date: Tue, 18 Oct 2005 10:51:33 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Epidemiology Data Analyst
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Job Title : Data Analyst - Epidemiology (Ref. 10559)
Location/Area : Harlow / Essex / North East London / North London /=20
London area / London region / Greater London / London/ Southeast.
Type : Contract
Salary : Negotiable
Start Date : ASAP
This is a great opportunity for a data analyst/epidemiologist to work for=20
one of the biggest pharmaceutical companies in the World, and where=20
professionalism and high standards are recognised and rewarded.
Our client, a leading research-based Pharmaceutical company is looking for=20
a Data Analyst to collaborate with research teams in conducting=20
epidemiological studies utilizing large national/international cross-
sectional and longitudinal healthcare databases. Provide statistical=20
programming, database management and systems analysis support and=20
consultation for epidemiologic database research projects relating to=20
disease natural history, burden of illness and drug safety. Investigate,=20
evaluate and apply new methods, technologies and tools for efficient=20
accessing, processing, management, analysis and communication of=20
observational research data. Develop, implement and maintain standards for=20
computer program development and validation, and for data storage, quality=20
and reporting.
Minimum Requirements:
=B7 BSc or above in Mathematical subject.
=B7 Good knowledge of Epidemiology.
=B7 More than 1 year experience in data analysis.
=B7 Experience in Clinical trial prefer, but not essential.
=B7 Strong SAS skills.
=B7 Good team player.
Key Word : Statistician, Statistics, Statistical Analyst, Statistical=20
Analysis epidemiology, epidemiologist, SAS.
Fforde specialises in the supply of staff within the Pharmaceutical, CRO=20
and Biotechnology sectors. =20
www.fforde-management.com
Email your CV to: [log in to unmask]
Speak to: Den on 01273 722366
Or write to us at Curtis House, 34 Third Avenue, Hove BN3 2PD
=========================================================================
Date: Tue, 18 Oct 2005 11:26:05 +0100
Reply-To: "Morris, Sherry" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Morris, Sherry" <[log in to unmask]>
Subject: JOB: Research Assistant/Associate in Epidemiology/Statics at
Imperial College London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
=20
IMPERIAL COLLEGE LONDON
=20
FACULTY OF MEDICINE
Division of Epidemiology, Public Health and Primary Care
Department of Primary Care and Social Medicine
=20
Research Assistant/Associate in Epidemiology/Statistics
Salaries =
including London Allowance: =A322,870-=A325,430 (Research Assistant) =
=A322,870- =A333,330 (Research Associate)=20
=20
Project title: Explaining variation in mortality and other outcomes =
between healthcare providers
=20
This is an exciting opportunity for an individual with at least an MSc =
in epidemiology or statistics, looking to develop their career as a =
health services researcher. You will work on the analysis of health =
service and other data and the development of measures of quality in =
healthcare provision. You will also contribute to the presentation of =
results. The postholder will work in a small team supervised by Dr Paul =
Aylin, Clinical Senior Lecturer in Epidemiology and Public Health, and =
accountable to Sir Brian Jarman, Emeritus Professor of General Practice =
and Professor Azeem Majeed, Head of Department. The post is funded by Dr =
Foster Ltd, a company specialising in the production of reports on =
health service performance. The research team are based in premises on =
Westbourne Grove, London W2. =20
=20
You will have an MSc, preferably a PhD, appropriate research experience, =
and excellent computing and statistical skills. Experience in using SAS =
is essential.
=20
The appointment is full-time for one year in the first instance, =
starting as soon as possible. Appointment to the particular grade will =
depend upon qualifications and experience.
=20
Informal enquiries welcome. Please contact Dr Paul Aylin (07739 =
344491).
=20
For an application form and job description please visit =
http://www.imperial.ac.uk/employment/research/index.htm
=20
Alternatively, please write to the address below.
=20
Please send your application form, CV and response to the Person =
Specification to the Recruitment Assistant, Human Resources, Faculty of =
Medicine, Imperial College London, Charing Cross Campus, Reynolds =
Building, St Dunstan's Road, London W6 8RP quoting Ref=20
CJ 97 05. Please note that an application form must accompany all =
applications.
=20
=20
Closing date: 15 November 2005
=20
Valuing diversity and committed to equality of opportunity
=20
=20
=20
=20
=20
=========================================================================
Date: Tue, 18 Oct 2005 13:06:44 +0100
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Invitation to Royal Statistical Society Awards Celebration,
London - Friday 4 November 2005 (p.m.)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
ATTENTION ALL GRADUATE STATISTICIANS (GRADSTATS) AND CHARTERED =
STATISTICIANS (CSTATS) - WE LOOK FORWARD TO HEARING FROM YOU BY RETURN.=20
This is an invitation to attend the Society's first Awards Celebration =
on Friday 4 November 2005 at the Royal Statistical Society, 12 Errol =
Street, London EC1Y 8LX (nearest underground stations: Barbican, =
Liverpool Street Station, Moorgate and Old Street). If you have not =
already advised us that you will be attending, we very much hope that =
you will be able to join us.=20
The event will enable us to welcome the increasing number of Graduate =
Statisticians and students completing the Graduate Diploma and RSSCSE =
Certificate in Teaching Statistics to the 'professional community'. We =
would also like to show our appreciation of and admiration for your hard =
work and success to date. =20
All GradStats are invited to the event. Those of you who have, this =
year, achieved GradStat status or successfully completed the Graduate =
Diploma or the RSSCSE Certificate will be able to receive your =
certificates officially at the Awards Ceremony. There will also be =
wrap-around activities for everyone. These will now include a talk by =
Nicky Best who was awarded the Society's Guy Medal in Bronze last year. =
We hope that there will be stands run by CPD training providers. The =
afternoon will culminate in a reception and the chance to celebrate your =
success and progress with a glass of wine (or two!) to the sounds of =
jazz musicians from the Guildhall School of Music (see the programme =
below). =20
There will also be opportunities to learn more about how the Society =
might be able to help with your professional statistical development and =
to tell us what services you might like.=20
Please do join us, either individually or with a guest: perhaps your =
partner or your employer (a colleague in your organisation who supports =
your CPD and who would be interested in learning more about what it =
means to be a professional statistician). We do, of course, understand =
that it might be impractical for those of you who are based overseas to =
come, but you would be extremely welcome if you are able to arrange your =
affairs so as to be in the UK at around that time.=20
This invitation is also, of course, warmly extended to all Chartered =
Statisticians who we would very much encourage to attend. GradStats will =
be keen to talk to those of you who have already achieved professional =
status and there will be natural opportunities during the course of the =
programme for GradStats and CStats to network with each other.=20
We intend this to be a lively event and one which everybody who attends =
will find beneficial and enjoy. If you would like to attend - and we =
hope that you will - please let us know by completing and returning the =
registration form which can be downloaded from our website: =
http://www.rss.org.uk/docs/CPD_-_Awards%20Celebration%202005%20Acceptance=
%20Form.doc.
We really look forward to seeing you there.
Debra
Debra Hurcomb=20
Theme Manager, Education
Careers & CPD
Tel: 020 7614 3934/Fax: 020 7614 3905
PROGRAMME
1430 hrs Registration=20
Time to visit CPD market place=20
1530 hrs Welcome and introduction to event,=20
Tim Holt, President, The Royal Statistical =
Society=20
1535 hrs CPD update and feedback on GradStat survey led by Janet =
Dougharty, Chair, Professional Affairs Committee=09
1600 hrs "The Inquiring Mind of the Statistician - Harold Shipman and =
Bristol Royal Infirmary cases", a talk by Nicky Best, awarded the Guy =
Medal in Bronze, 2004
1620 hrs Awards Ceremony
1645 - 1715 hrs Break/Refreshments (further time to visit CPD market =
place)=20
1715 hrs Reception including the Anthony Strong Duo
=========================================================================
Date: Tue, 18 Oct 2005 05:54:10 -0700
Reply-To: Lisa Solomon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Lisa Solomon <[log in to unmask]>
Organization: Salford Systems (www.salford-systems.com)
Subject: Data Mining Conference, Southern California, March 2006
MIME-Version: 1.0
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SALFORD SYSTEMS DATA MINING CONFERENCE 2006
San Diego, California, March 29-31, 2006
Focusing on the Contributions of Data Mining to Solving Real-World
Challenges
Business, Biomedical and Environmental Real-World Case Study Presentations
TOPICS INCLUDE:
Credit Risk Modeling; Targeted Marketing and Campaign Optimization; New
Methods for Personalization; Analytical CRM; Fraud Detection; Military
Applications; Crime Analysis; Drug Discovery; Data Analysis Related to
Insurance, Epidemiology, Clinical Medicine, Proteomics and Genomics,
Mass Spectrometry and Demographic Data; Tools for "Tall and Wide" Data
State-of-the-Art Research from Leading Academic Institutions
**A Commemoration and Celebration of the Lifetime Achievements of Data
Mining Visionary and World-Renowned Statistician Leo Breiman
PRE-CONFERENCE TRAINING
Sharpen your expertise!
In-depth courses available for attendees who are new to data mining.
REGISTER NOW!
http://www.salforddatamining.com/docs/regform06.pdf
CONFERENCE PROGRAM:
http://www.salforddatamining.com/program-sd.htm
GREAT NETWORKING OPPORTUNITY
Attendees at Prior Conferences Included:
The International Monetary Fund, Barnes and Noble, Pfizer, Union Bank,
Wells Fargo, Ciphergen, Stanford Linear Accelerator, Johns Hopkins
Medical School, UC Berkeley, Cold Spring Harbor Laboratory, Novartis,
Columbia University School of Public Health, Harvard Medical School,
HSBC, International Steel Group(Bethlehem Steel), Cap Gemini, AT&T
Labs-Research, PricewaterhouseCoopers
Sincerely,
Lisa Solomon
=========================================================================
Date: Tue, 18 Oct 2005 18:19:14 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: BIOSTATISTICIAN
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: BIOSTATISTICIAN
=20
Salary: GBP 45ph=20
=20
Business Type: Healthcare Company=20
=20
Position type: Contract=20
Location: United Kingdom - East Anglia=20
=20
Background:=20
=20
Acting as the project statistician you will be responsible for the
design, analysis and reporting trials for FDA submission, offer
statistical consultancy and support for R&D and marketing departments
and assist with recruitment, training and mentoring of a junior
statistician. The role is to start ASAP and will run on a 3 month
rolling contract model.=20
=20
Primary Duties:=20
=20
Study design, production of randomisation schedules, sample size
calculations, development of analyses plans for protocols, statistical
analysis, combined clinical/statistical report writing (using in-text
tables) and ad hoc advice on statistical methodology to
non-statisticians.=20
=20
Qualifications:=20
=20
An MSc in statistics with 3+ years industry experience. Knowledge of SAS
is essential. Candidates that are available immediately will be
preferable.=20
=20
To apply, please reply with an up to date CV quoting reference
'grv-4141'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Tue, 18 Oct 2005 19:53:30 -0700
Reply-To: Elena Stanghellini <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Elena Stanghellini <[log in to unmask]>
Subject: Announcement: Workshop on quantitative finance
MIME-Version: 1.0
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Dear all,
I have been asked by a collegue to forward this
to the list. Please make enquiry to Stefano Herzel at
[log in to unmask]
and not to me. Thanks, Elena
-----------------------------------------------
Dear colleague,
I have appended below a short announcement of a Workshop on Quantitative
Finance that will be held in Perugia (Italy) on January 26th and 27th 2006
Please forward this announcement to anyone that you think might be
interested.
For further details please see the conference website at
http://diec.ec.unipg.it/finanza2006/
Yours sincerely,
Stefano Herzel
University of Perugia
WORKSHOP on QUANTITATIVE FINANCE
January 26-27, 2006
University of Perugia (Italy)
The present one is the seventh edition of an increasingly
successful initiative the aim of which is to set a common forum of ideas
and discussions among researchers and practicioners interested in
finance. While the previous editions of the workshop
had been mostly addressed to a national audience, this
year we wish to particularly encourage an international
participation.
We welcome contributions from any of the following subjects:
Mathematical Finance
Financial Economics
Computational Finance
Econometrics and Statistics of Financial Markets
Corporate Finance
Papers (even in preliminary form) should be submitted before December
12, 2005.
Notification of acceptance will be received by January 6, 2006.
Each accepted paper will be assigned to a discussant.
The deadline for Registration is January 13, 2006 (There is no
participation fee).
E-mail: [log in to unmask]
For further information, please visit the web-site
http://diec.ec.unipg.it/finanza2006/
SCIENTIFIC COMMITTEE
Damiano Brigo, Marco Frittelli, Andrea Gamba, Stefano Herzel, Elisa
Luciano, Carlo Mari, Giovanna Nicodano, Fabio Trojani
ORGANIZING COMMITTE
Flavio Angelini, Sara Biagini, Silvia Centanni, Roberto
Ferulano, Gianna Fig=E0-Talamanca, Stefano Herzel.
=========================================================================
Date: Wed, 19 Oct 2005 07:30:52 +0200
Reply-To: "BXC (Bendix Carstensen)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "BXC (Bendix Carstensen)" <[log in to unmask]>
Subject: Re: QUERY: Survival Analysis
Comments: To: Raphael Fraser <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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It does not in general make sense to eliminate a main effect
and keep an interaction in the model. This is vilolating the
"principle of marginality".
A very good exposition of this and other probelems related to
linear models can be found in Bill Venables paper
"Exegeses on linear models" to be found on:
http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.pdf
Best
Bendix Carstensen
----------------------
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Niels Steensens Vej 2
DK-2820 Gentofte
Denmark
tel: +45 44 43 87 38
mob: +45 30 75 87 38
fax: +45 44 43 07 06
[log in to unmask]
www.biostat.ku.dk/~bxc
----------------------
> -----Original Message-----
> From: A UK-based worldwide e-mail broadcast system mailing=20
> list [mailto:[log in to unmask]] On Behalf Of Raphael Fraser
> Sent: Tuesday, October 18, 2005 1:27 AM
> To: [log in to unmask]
> Subject: QUERY: Survival Analysis
>=20
>=20
> Dear All,
>=20
> I am modelling time to onset of a particular disease with=20
> three covariates x1, x2, x3 and the interaction x1*x3 using=20
> Survival Analysis. All the covariates except x1 was=20
> significant during univariate analysis but was kept in the=20
> model due to its importance based on other research. In the=20
> final model: HR =3D
> exp(b1x1+b2x2+b3x3+b4x1*x3) only x1 was not significant where=20
> HR is hazard ratio. Any suggestions on where to go from here?=20
> Since x1*x3 is significant and x1 was not, How does one=20
> handle such a situation?
>=20
> Raphael
>=20
=========================================================================
Date: Wed, 19 Oct 2005 10:47:56 +0100
Reply-To: Rebecca CANNINGS <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rebecca CANNINGS <[log in to unmask]>
Subject: Seminar: RSS South Wales Local Group
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The next seminar of the South Wales local group of the RSS is on Wednesday 16th
November at 5:00pm (4:30pm for tea) at the Cinema, Welsh Assembly Building,
Cathays Park, Cardiff.
Linear regression with errors in both variables; a problem solved
J. W. Gillard, T. C. Iles (Cardiff University)
Abstract
Many experimental procedures involve fitting a straight line to a set of
bivariate data (x,y). Standard linear regression could fit this line, but it
assumes that measurement error is only associated with one variable - x or y. In
many situations, the scatter about the true line will be caused by measurement
error in both variables. Here, standard linear regression estimators for the
line are biased and should be avoided.
This talk will consider how to fit a linear regression when there are errors in
both variables. This is commonly known as errors in variables modelling. An
example using AFP data (used to detect Down's syndrome) will motivate the
talk. A maximum likelihood approach will be briefly outlined, but an alternative
approach using the method of moments will take centre stage. This alternative
approach has a number of distinct advantages, all of which will be outlined
during the talk. Details will be given during the talk of a method of approach
in fitting lines where both variables are subject to measurement error. These
guidelines have been specifically devised for practitioners.
The seminar will be preceded by an AGM.
The December meeting will be on Wednesday 14th at the Conference Room, Local
Government Data Unit-Wales, 8 Column Walk, Cardiff at 5pm (4.30 tea).
The speaker will be Andrew Garrett (Quintiles): "Switching between superiority
and non-inferiority in the clinical trial setting - ensuring a coherent
approach".
All are welcome to both meetings.
Rebecca Cannings-John
Statistician
Cardiff University
Department of General Practice
Room 2F 15
Cardigan House
Wales College of Medicine
Heath Park
Cardiff
CF14 4XN
Tel: 029 2074 5105
www.uwcm.ac.uk/study/medicine/general_practice
=========================================================================
Date: Wed, 19 Oct 2005 11:11:46 +0100
Reply-To: Peter Green <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Green <[log in to unmask]>
Subject: JOB Lectureship at Bristol
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The University of Bristol invites applications for a permanent
lectureship in statistics (in place of Christophe Andrieu who has
been awarded an EPSRC Advanced Research Fellowship). We would
welcome candidates with research interests in any branch of
statistics or applied probability. Academic staff in the 6*-rated
Statistics Group are expected and encouraged to carry out research
and teaching to an excellent standard. The Department of Mathematics
is one of the leading centres for research and teaching in
mathematical sciences in the UK, and offers a stimulating and
friendly environment with first-rate facilities.
Further details and procedure for application:
https://www.bris.ac.uk/boris/jobs/ads?ID=43755
General information about Statistics at Bristol:
http://www.stats.bris.ac.uk/
Contact for informal enquiries, not answered at these webpages:
Prof P J Green [log in to unmask] Tel. +44 (0)117 928 7967
Closing date for applications: 1 December 2005
=========================================================================
Date: Wed, 19 Oct 2005 12:39:05 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: query: Fitting models with heterogenous variances
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi,
How can I fit a model with heterogenous variances in STATA (Other software
welcome)? Say my data were collected in four countries, and my dependent
variable has different variances for each country.
Thanks,
Tim
=========================================================================
Date: Wed, 19 Oct 2005 08:16:52 -0400
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Probability Theory Text Books
MIME-Version: 1.0
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Dear All,
I am a math graduate (B.Sc.) who would appreciate any suggestions of
good Probability Theory text books that are suitable for self study at
the undergraduate and graduate level. I heard Albert Shiryaev text is
very good. Is this so?
Thanks in advance.
=========================================================================
Date: Wed, 19 Oct 2005 13:33:09 +0100
Reply-To: Abderrahim Oulhaj <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Abderrahim Oulhaj <[log in to unmask]>
Subject: Problem in discussion lists
MIME-Version: 1.0
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Dear All,=20
I have had a problem when I tried to subscribe to the following =
statistical discussion lists=20
http://www.stattransfer.com/lists.html
The problem arised when I sent e-mail to confirm my subscription .... it =
said: =20
"A message that you sent could not be delivered to one or more of its
recipients. This is a permanent error. The following address(es) failed:
"
=20
Thank you for any help,
Abderrahim
=========================================================================
Date: Wed, 19 Oct 2005 14:13:55 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Rogers <[log in to unmask]>
Subject: JOB: Medical Statistician (Bristol)
MIME-Version: 1.0
Content-Type: Text/Plain; CHARSET="ISO-8859-1"
Content-Transfer-Encoding: quoted-printable
Research Assistant in Medical Statistics (vacancy ref. 11694)
Bristol Heart Institute, University of Bristol are seeking an applied=20
medical statistician to join our clinical research team to work on a=20
project evaluating the modernisation of information technology in the=20
NHS. A strong interest in health technology assessment would be an=20
advantage, but candidates with experience in other medical disciplines=20
will be considered. You will be a graduate with a postgraduate degree=20
(MSc or PhD) in statistics or a related subject.=20
Your primary duties will be to lead the analysis of data collected=20
routinely by participating Trusts (mainly controlled time series), the=20
presentation and interpretation of the results and drafting of the=20
findings of these analyses for reports and for publication. Salary=20
will be commensurate with qualifications and experience. This post is=20
tenable from 1st December 2005 for one year, in the first instance.=20
Informal enquiries are encouraged and should be made to Dr Barney=20
Reeves after 31 October (0117 928 3143; e-mail=20
[log in to unmask]).
If successful, you may be appointed either on a fixed term or a=20
permanent contract depending on the extent of your previous relevant=20
research experience. Further information can be found at
http://www.bristol.ac.uk/personnel/ftc/
Grade : Grade 1A Salary : =A320,044- =A325,699
Contact: (Cardiac, Anaesthetic and Radiological Sciences)
Dr B Reeves
E-mail: [log in to unmask] Tel: 0117 928 3143
Closing Date : 10 November 2005
Interview Date : 18 November 2005
Timescale of Appointment(s) -
Contract : Fixed Term Contract one year
Further details and an application form can be found at
https://www.bris.ac.uk/boris/jobs/ads?ID=3D43516 Alternatively you can
telephone (0117) 954 6947, minicom (0117) 928 8894 or =20
E-Mail [log in to unmask] (stating postal address ONLY), quoting=20
reference number 11694.
The closing date for applications is 9.00am, 10 November 2005
An Equal Opportunities Employer.
=========================================================================
Date: Wed, 19 Oct 2005 16:05:29 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Courses Oct/Nov. 2005
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We are announcing three courses, which are scheduled to take place in
November & December 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number, or =
email
[log in to unmask]
Design and Analysis of Experiments
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Dates: 7-9 November 2005. Duration: 3 days. Price: 690 GBP.
Conducting cost-effectiveness experiments based on good design =
principles is
fundamental to many areas of scientific research. In this course
participants will learn to use resources efficiently and to plan
well-designed
experiments, so as to obtain clear results and a high degree of =
precision.
During the course the concepts and principles of good experimental =
design
will be discussed, together with associated data analysis methods. =
Computer
based practicals with a choice from GenStat, MINITAB, SAS and SPSS will =
be
used to analyse data from different types of experiments. Much emphasis
will be placed on interpretation of computer output to help answer =
questions
posed by research objectives.
A Review of Basic Statistics
^^^^^^^^^^^^^^^^^^^^^^^^^^^
Dates: 29-30 November 2005. Duration: 2 days. Price: 460 GBP.
This course builds up the basic ideas of statistics systematically and
quickly. It provides an introduction to methods of summarising and
presenting data, estimation, confidence intervals and hypothesis =
testing.
Mathematical details will be kept to a minimum. A wide choice of
statistical software is available for practical work.
What Sample Size Do I Need?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 1 December 2005. Duration: 1 day. 245 GBP.
This is a common problem and should be given due consideration in any
research proposal, as an inadequate sample size invariably leads to =
wasted
resources. This course aims to give a practical introduction to sample =
size
determination in the context of some commonly used significance tests.
Practical work will be based around the statistical computing package
MINITAB, exploiting its module on sample size determination, and the =
more
specialised packages, nQuery Advisor and PASS. Formulae and algebraic
notation will be kept to a minimum.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Wed, 19 Oct 2005 16:32:18 +0100
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: Fw: SSC Short Courses Nov/Dec. 2005
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Reason for posting this twice is that the previous Subject heading was =
incorrect. Subject: should read - SSC Short Courses Nov/Dec. 2005. =20
We are announcing three courses, which are scheduled to take place in
November & December 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number, or =
email
[log in to unmask]
Design and Analysis of Experiments
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Dates: 7-9 November 2005. Duration: 3 days. Price: 690 GBP.
Conducting cost-effectiveness experiments based on good design =
principles is
fundamental to many areas of scientific research. In this course
participants will learn to use resources efficiently and to plan
well-designed
experiments, so as to obtain clear results and a high degree of =
precision.
During the course the concepts and principles of good experimental =
design
will be discussed, together with associated data analysis methods. =
Computer
based practicals with a choice from GenStat, MINITAB, SAS and SPSS will =
be
used to analyse data from different types of experiments. Much emphasis
will be placed on interpretation of computer output to help answer =
questions
posed by research objectives.
A Review of Basic Statistics
^^^^^^^^^^^^^^^^^^^^^^^^^^^
Dates: 29-30 November 2005. Duration: 2 days. Price: 460 GBP.
This course builds up the basic ideas of statistics systematically and
quickly. It provides an introduction to methods of summarising and
presenting data, estimation, confidence intervals and hypothesis =
testing.
Mathematical details will be kept to a minimum. A wide choice of
statistical software is available for practical work.
What Sample Size Do I Need?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 1 December 2005. Duration: 1 day. 245 GBP.
This is a common problem and should be given due consideration in any
research proposal, as an inadequate sample size invariably leads to =
wasted
resources. This course aims to give a practical introduction to sample =
size
determination in the context of some commonly used significance tests.
Practical work will be based around the statistical computing package
MINITAB, exploiting its module on sample size determination, and the =
more
specialised packages, nQuery Advisor and PASS. Formulae and algebraic
notation will be kept to a minimum.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Wed, 19 Oct 2005 23:57:27 +0100
Reply-To: Natalie Tarry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Tarry <[log in to unmask]>
Subject: Statistics in Insurance?
In-Reply-To: <011d01c5d4c2$4afc9ba0$8fc1e186@SNPC43>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
Dear Allstaters
Is anyone aware of any courses or seminars which are specifically about the
use of statistics in the Insurance industry?
Many thanks in advance
Natalie Tarry
=========================================================================
Date: Thu, 20 Oct 2005 08:36:02 +0200
Reply-To: Ornulf Borgan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ornulf Borgan <[log in to unmask]>
Subject: PhD grant offered in Oslo
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A PH.D FELLOWSHIP in statistics/statistical genomics is available at the Department of
Mathematics, Division of Statistics, University of Oslo, Norway. For details see
http://www.admin.uio.no/opa/ledige-stillinger/pdhfellowshipMathematics18648.html
Deadline for applications is November 8th, 2005.
Ornulf Borgan
--
Ornulf Borgan
Department of Mathematics
University of Oslo
P.O.Box 1053 Blindern
N-0316 Oslo, Norway
=========================================================================
Date: Thu, 20 Oct 2005 10:50:19 +0200
Reply-To: Carsten Wiuf <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carsten Wiuf <[log in to unmask]>
Subject: JOB: 3 yr position in Aarhus Denmark
MIME-Version: 1.0
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Open 3 year position: Bioinformatic specialist for microarray studies
We are a leading European research group in the microarray area. We are
based in Aarhus Denmark and count 35 people working in a new hospital
facility with very good facilities and state of the art equipment.
We have a position for three years for bioinformatic analysis of microarrays
with main emphasis on exon array data. These arrays generate data from all
human exons and provide information on the potential splicing of RNA leading
to new protein forms. We need a person with a mathematical/statistical
background having expertise and experience in the use of "R" and being able
to handle both the statistical issues of microarrays, normalization and
background problems, as well as analyzing and scanning the genome for
possible splice sites, transcription factor binding and polymorphisms. We
relate our data to clinical outcome and work mostly on clinical specimens,
at times laser microdissected. We aim at forming classifiers that can
identify cancer and predict disease outcome, and to understand pathways that
are being activated in diseases.
We have four groups that work on bladder, colon, and prostate cancer as well
as functional genomics. Please see: www.mdl.dk and www.CMCC.dk . We have a
relaxed working environment, appreciate a good laugh, and at the same time
try to publish in top journals, being at the competitive front end of the
area. Our previous publications (journals like Nature, Nature Genetics,
Cancer Cell, Cancer Research) can be seen at PubMed : "orntoft t".
We aim at team working and interaction with different people in different
projects. For the bioinformatic area we have a tight relation to prof. Jens
Ledet Jensen at Dept. of Theoretical Statistics and to the local
Bioinformatics Research Center (BIRC) at Aarhus University. It is possible
to conduct a PhD during the three years, but also post docs are very welcome
to apply.
The salary is a standard Academic University salary negotiated by the union
of academics.
Working week is approx 37 hours, pension is added to salary.
If you are interested in this three years position, please provide CV, and a
short one page description of your interests to Prof. Torben F. Orntoft,
Dept. Clinical Biochemistry, Aarhus University Hospital at Skejby, DK 8200
Aarhus N, Denmark. E-mail: [log in to unmask]
Orntoft will also be happy to answer any questions you may have.
Deadline for application is November 15th, 2005.
Carsten Wiuf, Professor
BiRC, University of Aarhus
Phone: +45 89 42 31 55
Web: www.birc.au.dk/~wiuf
=========================================================================
Date: Thu, 20 Oct 2005 11:40:04 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: CONTRACT VACANCY: Statistical Programmer - Animal Health (6 month
s+) Based in the Home Counties.
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
> Dear allstaters,
>
> please find attached the latest contract vacancy for you to review;
>
> TITLE: Statistical Programmer - Animal Health (6 months+)
>
> ROLE: Essential; 2 years+ SAS programming within a pharmaceutical / CRO
> environment, SAS/base, SAS/macro, broad knowledge of IT technology,
> knowledge of practical application of validation / quality processes /
> procedures and some project management skills. Desirable; previous Animal
> Health experience OR statistical qualifications. Working for this major
> client; you will be programming statistical tables / listings and figures
> according to specifications, communicating progress to project
> statistician / project manager. FULL JOB SPECIFICATION AVAILABLE
>
> LOCATION: UK, Home Counties
> CONTRACT LENGTH: 6 months+
> RATE: Dependant on experience
> START DATE: January 2006 start required.
>
> If you interested in this role please feel free to contact me for further
> details at the earliest possible moment.
>
> Regards
>
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>
www.1st-itpeople.com <http://www.1st-itpeople.com>
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
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Date: Thu, 20 Oct 2005 12:36:09 +0100
Reply-To: Allan Reese Cefas <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Allan Reese Cefas <[log in to unmask]>
Subject: Reporting grouped data analysis
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
I've been using Stata commands glm and bprobit to look at dose-response cur=
ves, where response is r/n. The Stata Reference Manual under glm comments =
that "the only difference ... is how they went about obtaining the answer, =
although this difference is hidden from us. bprobit secretly expands the d=
ata to obtain [sum of n] observations so that it can run standard, individu=
al level commands."
With respect, it's not hidden or secret, as bprobit shows the number of obs=
ervations as the sum, not the number of groups. Although the fitted parame=
ters and SEs are the same for the two models, a different log-likelihood va=
lue is reported. The glm fit is assessed by deviance, AIC and BIC; probit =
reports a LR chi-squared and pseudo R-squared.
I'd appreciate comments on which analysis colleagues would consider more us=
eful, valid or intelligible to report. As a rider, on the offchance, does =
anyone have Stata code for back-predicting the dose with CIs?
Allan Reese=20
***************************************************************************=
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=========================================================================
Date: Thu, 20 Oct 2005 13:33:13 +0100
Reply-To: Ian Plewis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ian Plewis <[log in to unmask]>
Subject: JOB: RO(1A), INSTITUTE OF EDUCATION
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Research Officer (IA)
Centre for Longitudinal Studies (CLS), Bedford Group for Lifecourse and=20
Statistical Studies
Salary =A319,460 to =A329,128, plus =A32,323 London Allowance per annum.
Full-time appointment for one year.
Job share considered.
Your duties will include: working on methodological issues; assisting with=20
writing up the descriptions of the composition of the samples of the=20
children of the NCDS and BCS70 cohorts; assisting with an analysis of=20
mobility between the first and second sweeps of the Millennium Cohort=20
Study; and conducting a preliminary analysis of the characteristics of non-
respondents in BCS70 along the lines already carried out for NCDS.
You will need a first degree or equivalent qualification in statistics or=20
a social science discipline with a strong research methods component. You=20
will have knowledge of sampling and survey methods as well as experience=20
of using STATA or other statistical packages for the analysis of=20
quantitative data. You are welcome to contact Professor Ian Plewis (tel:=20
020 7612 6238; email: [log in to unmask]) if you would like to have=20
further information or would like to discuss the post. For an application=20
form and further details please ring 020 7612 6159 (24 hour answerphone)=20
quoting reference R/BG/41. Textphone calls accepted via Typetalk (Typetalk=20
users please call 18001 020 7612 6715 during normal working hours).=20
Please, do not send CVs at this stage. Completed applications to be=20
returned to the Human Resources Department, Institute of Education,=20
University of London, 20 Bedford Way, London WC1H 0AL by 4.30pm on 28=20
October 2005
=========================================================================
Date: Thu, 20 Oct 2005 14:39:36 +0100
Reply-To: "Khayat, Etienne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Khayat, Etienne" <[log in to unmask]>
Subject: A challenging problem
MIME-Version: 1.0
Content-Type: text/plain
Hi everyone,
I have been struggling with this problem since a while now with no luck in
solving it. I find it very challenging, but also, I don't consider myself as
an expert in probability and statistics. I really hope and appreciate very
much if someone can help me with a hint or a solution for it. It is problem
summarised below.
Many thanks
Etienne
****************************************************************************
**********
We need to classify the risk of some computer processes Pi (where i in
[1..n], where n is an integer of finite value, say 20), in risk levels.
As the risk level of every Pi is not known in advance, we choose to classify
them those Pi in a maximum of n risk levels, in case every one of those
processes turned out was in a different risk level. I informally call a risk
level as a risk band, or simply a band. Band goes from 1 to n, also.
The data about the risks of those processes is available in the following
forms:
(Pi<Pj, 0.6) meaning that the risk level of Pi is lower than that of Pj with
a degree of confidence of 60%. Informally, the risk analyst is 60% sure of
this statement (a kind of fuzziness).
Also, for the same i and j, we have:
(Pi=Pj, 0.3) and (Pi>Pj, 0.1). The sum of the assertion of the 3 different
statements about every relation between two permissions is always 1
(0.6+0.3+0.1).
So we are provided with such statements about processes in the system in the
way shown. Not every relation between Pi and Pj (for all i and j) has risk
data available, but we have a good subset of relations between many of the
system's processes.
Since there is no total assertion of the relations between the risk level of
processes, there isn't also a total assertion about which risk level every
process lies in. There is a kind of distribution of the membership of every
process within the risk levels (bands). For instance, Pi can be found to be
in band j with a membership value of 0.25, and in band k with a membership
value of 0.46.
A fact is, since every Pi can be in any of those n bands mean that for j=1
to n:
Sum(membership (Pi in band j) =1
The goal is to calculate the degree of memberships of every Pi (i=1 to n) in
every Band k (k=1 to n). To be more concrete, I consider n=20.
For this I have adopted a probabilistic style approach, because the degree
of membership of a process in a band is similar to the idea of the
likelihood of the process to be in this band.
I have tried many solutions, but I couldn't get anywhere. Also the number of
scenarios to consider is very large and impossible to calculate on a PC. So,
I have tried to do some simulations, with no luck, because the conditions
for the simulation technique I used (Monte Carlo) were not met.
------
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=========================================================================
Date: Thu, 20 Oct 2005 17:00:21 +0100
Reply-To: Michael Blastland <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Blastland <[log in to unmask]>
Subject: Media and statistics
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
Dear All,=20
I'm keen to hear of any work with a statistical basis which has a
bearing on items in the news, on current affairs, or aspects of public
policy. A wide brief, I know, but you might get a better idea by knowing
that I work for More or Less on BBC Radio 4, a programme devoted to all
those ways we use statistics, measurement or quantification to
understand what's going on in the news, politics, etc. see
www.bbc.co.uk/moreorless=20
Some might know the programme already, others may be surprised to know
such a thing exists, that it's curious about what they're working on and
aspires at least to make its coverage numerate and responsible. I'd like
to encourage people to think of us whenever anything interesting comes
along that might be relevant to a wider audience.=20
Best wishes,=20
Michael Blastland=20
http://www.bbc.co.uk/
This e-mail (and any attachments) is confidential and may contain
personal views which are not the views of the BBC unless specifically
stated.
If you have received it in error, please delete it from your system.=20
Do not use, copy or disclose the information in any way nor act in
reliance on it and notify the sender immediately. Please note that the
BBC monitors e-mails sent or received.=20
Further communication will signify your consent to this.
=========================================================================
Date: Thu, 20 Oct 2005 17:39:14 +0100
Reply-To: Chris Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brown <[log in to unmask]>
Subject: NEW JOB: Exciting Opportunity ,
Statisticians to coss train into Clinical Research
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Our client has been operating since 1996 as one of the key providers of=20
specialist services in CRF Design, Data Management, Statistics, Medical=20
Writing, Quality Assurance and Electronic Data Management Systems for=20
clinical trials. Its relatively small staff body and low staff turnover=20
guarantee that their project teams remain stable throughout the life of=20
the client's clinical study. =20
Benefits: Our Client provides a comprehensive remuneration and benefits=20
package, work-life balance initiatives and social events. Viewed together,=20
these benefits present significant financial, personal and professional=20
growth opportunities. Further information is available on application.
We are seeking Statisticians to coss train into Clinical Research, You=20
will be primarily responsible for=20
=B7 Timely and proper conduct of statistical evaluations
=B7 Ensuring that systems and procedures are ICH GCP compliant
=B7 Contributing to in-house Protocol and Case Report Form design
=B7 Providing statistical expertise and presentation of results at=20
client meetings
=B7 Providing statistical evaluation and reports for inclusion into=20
Clinical trial reports
=B7 Contributing to and Peer review of statistical programming
=B7 Production and review of Statistical Analysis Plans
=B7 Providing advice for randomisation
=B7 Contributing to the development of new systems, methods and SOPs
=B7 Assisting in the compilation of bids and contracts
=B7 Involvement in business development meetings
Chris Brown
Account Manager
Fforde-Management
Curtis House
34 Third Ave
Hove
BN3 2PD
=20
Tel: 01273 722366
Fax: 01273 325350
Email:[log in to unmask]
www.fforde-management.com
=========================================================================
Date: Thu, 20 Oct 2005 17:40:37 +0100
Reply-To: Chris Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brown <[log in to unmask]>
Subject: NEW JOB: MSc or PhD Graduates with Clinical Trial thesis
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Our client has been operating since 1996 as one of the key providers of=20
specialist services in CRF Design, Data Management, Statistics, Medical=20
Writing, Quality Assurance and Electronic Data Management Systems for=20
clinical trials. Its relatively small staff body and low staff turnover=20
guarantee that their project teams remain stable throughout the life of=20
the client's clinical study. =20
Benefits: Our Client provides a comprehensive remuneration and benefits=20
package, work-life balance initiatives and social events. Viewed together,=20
these benefits present significant financial, personal and professional=20
growth opportunities. Further information is available on application.
We are seeking Trainee Statisticians to train into Clinical Research, You=20
will be primarily responsible for=20
=B7 Timely and proper conduct of statistical evaluations
=B7 Ensuring that systems and procedures are ICH GCP compliant
=B7 Contributing to in-house Protocol and Case Report Form design
=B7 Providing statistical expertise and presentation of results at=20
client meetings
=B7 Providing statistical evaluation and reports for inclusion into=20
Clinical trial reports
=B7 Contributing to and Peer review of statistical programming
=B7 Production and review of Statistical Analysis Plans
=B7 Providing advice for randomisation
=B7 Contributing to the development of new systems, methods and SOPs
=B7 Assisting in the compilation of bids and contracts
=B7 Involvement in business development meetings
Chris Brown
Account Manager
Fforde-Management
Curtis House
34 Third Ave
Hove
BN3 2PD
=20
Tel: 01273 722366
Fax: 01273 325350
Email:[log in to unmask]
www.fforde-management.com
=========================================================================
Date: Thu, 20 Oct 2005 17:54:49 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS EXPERT
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - SAS EXPERT
=20
Salary: EURO - 75-80ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
I have a contract vacancy for a minimum of six months within the
statistical programming group of a major pharmaceutical. The contract
has an excellent possibility of extension and will be paying a lucrative
rate. Candidates must have 5+ years experience in a SAS programming role
in the pharmaceutical industry. Interviews will take place immediately
with the start date ASAP. Please contact me for details on location and
client.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with and an up to date CV quoting the reference
'grv4164'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 20 Oct 2005 17:57:10 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Biostatistics Manager
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Biostatistics Manager
=20
Salary: GBP 40,000 - 45,000=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Permanent=20
Location: United Kingdom - Scotland=20
=20
Background:=20
=20
The department is responsible for the design and analysis of data from
the Clinical Operating Areas including the Phase II-IV monitoring
offices, sponsor's own monitoring offices, CRU, healthy volunteer
studies and patient studies. The department works closely with other
Medical Data Science teams and there is significant interaction with
scientific and clinical staff.=20
=20
Primary Duties:=20
=20
You will be responsible for the co-ordination, delegation of tasks and
scheduling of all statistical activities within the department.
Responsible for the management and development of personnel, resources
and of business interests for the statistics group under your direction.
Ensure sound statistical procedures exist within the group/ Manage the
selection and implementation of new software systems relating to the
design and analysis of both non-clinical and clinical studies. Plan and
advise on the training and career development of staff within
statistics. Provide specialist advice, opinions and information.
Undertake the design, analysis, interpretation and reporting of both
clinical and non-clinical studies.=20
=20
Qualifications:=20
=20
Msc in Statistics or Mathematics. 2 years line management experience in
a Statistics department. Proven organisational skills. Excellent
interpersonal skills. Excellent attention to detail. Good MS Office
skills. Proven SAS skills.=20
=20
=20
=20
George Vernon =20
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Thu, 20 Oct 2005 18:01:24 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Biostatistics Manager
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Biostatistics Manager
=20
Salary: GBP 50 p/hour=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: United Kingdom - Scotland=20
=20
Background:=20
=20
The department is responsible for the design and analysis of data from
the Clinical Operating Areas including the Phase II-IV monitoring
offices, sponsor's own monitoring offices, CRU, healthy volunteer
studies and patient studies. The department works closely with other
Medical Data Science teams and there is significant interaction with
scientific and clinical staff.=20
=20
Primary Duties:=20
=20
You will be responsible for the co-ordination, delegation of tasks and
scheduling of all statistical activities within the department.
Responsible for the management and development of personnel, resources
and of business interests for the statistics group under your direction.
Ensure sound statistical procedures exist within the group/ Manage the
selection and implementation of new software systems relating to the
design and analysis of both non-clinical and clinical studies. Plan and
advise on the training and career development of staff within
statistics. Provide specialist advice, opinions and information.
Undertake the design, analysis, interpretation and reporting of both
clinical and non-clinical studies.=20
=20
Qualifications:=20
=20
Msc in Statistics or Mathematics. 2 years line management experience in
a Statistics department. Proven organisational skills. Excellent
interpersonal skills. Excellent attention to detail. Good MS Office
skills. Proven SAS skills.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy quoting 'CI-4157c'.=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Fri, 21 Oct 2005 09:19:20 +0100
Reply-To: Colin Aitken <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Colin Aitken <[log in to unmask]>
Subject: JOB - six months, Edinburgh
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: quoted-printable
SCOTTISH ARTS COUNCIL
Further details from [log in to unmask]
Post is to cover for maternity 6 mths. Recent graduate sought, doesn=92t=20
need previous experience but, good grades.
POST: Statistics and Reporting Officer
REPORTS TO: Head of Planning and Research
GRADE: 5 =A321,375 - =A326,010
DURATION 6 month maternity post (full-time)
* *
1. PRINCIPAL AIM OF POST
1.1 The principal aim of this post is to develop, co-ordinate and=20
deliver a comprehensive statistics and reporting function for the=20
Council. Whilst the majority of the post holder=92s time will be spent=20
providing statistical support and reporting services in connection with=20
the distribution of funds the post will increasingly input into other=20
areas such as corporate planning; administration; monitoring; evaluation=20
and quality initiatives.
1.2 With increased demands to demonstrate accountability; continuous=20
improvement and value for money there is a consequent need to improve=20
the quality and nature of reporting and analysis. Working with staff=20
across the organisation this post will play a crucial part in delivering=20
these objectives.
1.3 It is essential that the post holder is numerate, systematic,=20
accurate, thorough, a clear thinker with an ability to plan ahead,=20
prioritise work and above all to communicate in an effective way with=20
all levels of staff, clients and counterparts in other organisations and=20
the Scottish Executive.
--=20
C.G.G. Aitken,
School of Mathematics, Phone: (0)131 650 4877
The King's Buildings, Fax: (0)131 650 6553
The University of Edinburgh, EH9 3JZ. E-mail: [log in to unmask]
Scotland. http://www.maths.ed.ac.uk/~cgga
=========================================================================
Date: Fri, 21 Oct 2005 10:22:44 +0100
Reply-To: Margaret Anne Hurley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret Anne Hurley <[log in to unmask]>
Subject: LATE CHANGE OF DATE RSS Lancs/Cumbria local group talk October
(Dan Nagin)
Mime-Version: 1.0
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Content-Transfer-Encoding: 7bit
Content-Disposition: inline
Dear Colleagues
The date of the RSS Lancs/Cumbria local group meeting in October has
been brought forward one day and is now on Wednesday 26th October (not
27th October as previously advertised). Dan Nagin (Carnegie Mellon)
will talk on Causal Inferences with Group Based Trajectory Models - With
Application to the Impact of Gang Membership on Violent Delinquency.
The meeting is in the senior common room in Fylde College, Lancaster
University, starts at 4.30pm (tea) and the talk begins at 5pm til about
6.20pm. We will be dining with Dan in Lancaster after the meeting, so
please contact me if you would like to join us for dinner, all welcome.
Margaret Hurley
Lancashire School of Health and Postgraduate Medicine
University of Central Lancashire
Preston.
=========================================================================
Date: Fri, 21 Oct 2005 10:35:04 +0000
Reply-To: Carole Sanford <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carole Sanford <[log in to unmask]>
Subject: Query - Help with a sample size question...?
Mime-Version: 1.0
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Hi,
I wonder if anyone can please help me?
I have been asked the following question and just can't get my head around
how to answer it, it seems to be in the wrong order to the normal sample
size calculations that I know!
We have completed a mailing campaign A - it gave us a response rate of 10%.
We are about to do a mailing campaign B - we want it to give us a response
rate of 15%, but how many people do we need to mail to ensure that our seen
15% is significantly different from the 10% seen in mailing campaign A?
Any help anyone can provide will be greatly appreciated!
Thanks,
Carole Sanford.
=========================================================================
Date: Fri, 21 Oct 2005 10:42:33 +0000
Reply-To: Carole Sanford <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carole Sanford <[log in to unmask]>
Subject: Query - Help with a sample size calculation
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Hi,
I wonder if anyone can help me?
I have been asked a sample size calculation question that I just can't get
me head around the answer to, it seems to be in the wrong order to the
normal sample size questions I am asked!
We have done a mailing campaign A - we got a response rate of 10%.
We are about to do a mailing campaign B - we want a response rate of 15%,
but how many people do we need to mail to ensure that the 15% that we get is
significantly different to the 10% response rate we saw in campaign A?
Any help anyone can give will be greatly appreciated.
Thanks,
Carole Sanford.
=========================================================================
Date: Fri, 21 Oct 2005 12:01:52 +0100
Reply-To: "Mead, Andrew" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Mead, Andrew" <[log in to unmask]>
Subject: REMINDER: IBS-BR Meeting on Proteomics and Metabolomics,
23rd Nov ember, Cambridge
MIME-Version: 1.0
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**** Please note that advance registration for this meeting (details =
below)
is essential, and that registrations need to be received by Monday =
November
7th ****
International Biometric Society, British Region
Annual General Meeting and 209th Ordinary Meeting
Post-Genomics : Proteomics and Metabolomics
Wednesday 23rd November 2005, 11am - 5pm
Wellcome Trust Conference Centre, Hinxton, Cambridge
Full details of this meeting are now available at:
http://www.maths.qmw.ac.uk/~rab/biometrics/postgen.html
The programme includes:
The Robot Scientist Project
Ross King (The University of Wales, Aberystwyth)
Statistical Methods in Metabolomics
Maria de Iorio (Imperial College, London)
Mathematical models as tools to probe interaction networks
Nick Monk (University of Sheffield)
Metabonomics: the challenge of modelling metabolic interactions,
processes and diseases in comples systems
Elaine Holmes (Imperial College, London)
Detecting genotype changes in yeast, tumours and mice using
NMR-based metabolomics
Kevin Brindle (University of Cambridge)
Systems biology for parasites: metabolic networks and pathway
expression
David Westhead (University of Leeds)
Abstracts for all papers are available at the above web address.
Registration costs =A330 for members of the International Biometric =
society
and =A345 for non-members. Registration includes coffee, a 2-course =
buffet
lunch and tea.
Registration forms are available at:
http://www.maths.qmw.ac.uk/~rab/biometrics/reg1105.pdf
Andrew Mead, M.Sc., CStat
International Biometric Society, British Region Secretary
International Biometric Society, Council Member
International Biometric Society, Co-Chair, Strategic Plan Committee
Warwick HRI
University of Warwick
Wellesbourne
Warwick
CV35 9EF
email: [log in to unmask]
phone: 024 7657 5020
fax: 024 7657 4500
=========================================================================
Date: Fri, 21 Oct 2005 12:26:08 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: Summary: Fitting models with heterogenous variances
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi allstat,
I received very few replies to my question below, but they were helpful
ones. There are a few ways to deal with heterogenous variances in STATA,
but curiously none really solves my problem! Here I'll list them:
-vwls-
-reg- with aweights
-reg- with robust standard errors
-rreg-
-gllamm-
Consider my problem below, say I want to regress age on sex controlling
for country, but I believe the variances differ between the four countries
that I've collected by data from, though not between sex.
Doing -xi: vwls age i.sex i.country- will assume that all the eight groups
defined by sex and countries have different variances. Doing -reg- with
aweights will require me to obtain their variances first, perhaps by doing
a regression without the aweights, but then the variances of the residual
after the regression with aweights will be different than the first. Doing
-reg- with robust SE does not adjust my coefficients based on variance,
and has not taken into account of my variance structure. Moreover in
practice, there seems to be particular problems when sub-groups are small.
Using rreg suffers from the same problem as -reg- with robust, although
the coefficients are now adjusted for variance difference. And I just
cannot get -xi: gllamm age i.sex i.country, i(id) s(ctry)- to work if I
defined ctry as -tab country, gen(z)-, and -eq ctry: z1 z2 z3 z4-, where
there is just one id per subject. In any case, it's too much effort to use
-gllamm- to solve a simple problem like that!
I think what I desire is an approach which is half-way between OLS
regression and Robust regression (rreg). Robust regression calculates the
variance matrix based on the residuals from fitting the model, but surely
if we simply averaged the residuals within each group (country), we'd have
a more appropriate variance matrix.
This is what I think is a logical simple extension to the robust
regression technique, although I haven't read any papers concerning it. If
anyone knows of such a paper, it'd be great to let me know. If it proves
to be theoretically sound, then perhaps someone would like to write a
STATA program for this, as I'm sure this is quite a common problem,
particularly if it can be extended to more complicated linear models.
Tim
=========================================================================
Date: Fri, 21 Oct 2005 14:50:52 +0100
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar: Inventory and production stochastic dynamic programming
models for small
MIME-Version: 1.0
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Inventory and production stochastic dynamic programming models for small
firms.
Lyn. C. Thomas, University of Southampton, U.K.
Wednesday, 26th October 2005, 2pm
The Whittaker Room (211)
Abstract:
Inventory and production models have traditionally sought to maximise
profit or minimise costs. While these are sensible objectives for well
established companies with good reserves of capital, small firms have a
very different objective - to survive. We consider how changing the
objective to one of maximising the probability of survival affects the
inventory and production decisions of such firms. By building stochastic
dynamic programming models, we show that for the basic inventory problem
small firms should be more cautious than large ones, even though they
cannot afford to be too cautious. An extension of the newsboy problem, to
represent small firms which have bought franchises, is then considered as
well as models of small production companies which have to set both
inventory and production levels. In the former case the small firm still
needs to be cautious unless it is has hardly any capital when it should
take substantial risks. In the latter the firm should usually, but not
always match inventory and production levels.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 21 Oct 2005 10:34:07 -0500
Reply-To: Ronald Thisted <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ronald Thisted <[log in to unmask]>
Subject: JOB: Biostatistics faculty U of Chicago
Mime-Version: 1.0
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The Department of Health Studies (biostatistics, epidemiology, health
services research) at the University of Chicago has tenure-track
faculty positions available in biostatistics. For details, please see
http://health.bsd.uchicago.edu/employment/index.html
Full consideration will be given to applications received by December 15, 2005.
--
Ronald Thisted, PhD Department of Health Studies
Professor and Chairman The University of Chicago
(773) 834-1242 5841 S Maryland Ave (MC 2007)
[log in to unmask] Chicago, IL 60637
=========================================================================
Date: Fri, 21 Oct 2005 17:17:11 +0100
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
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Content-Transfer-Encoding: quoted-printable
SENIOR SURVEY STATISTICIAN / RESEARCH DIRECTOR
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Senior Statistician or Research Director . The post=20
would involve work in the areas of sample design and weighting,=20
methodological experimentation, and survey data analysis and reporting.=20
There will also be opportunities for teaching.
Candidates for the post would be expected to have a degree in mathematics,=
=20
statistics, social statistics or a closely related discipline and/or=20
Chartered Statistician status, and at least three years of relevant=20
professional experience of survey statistics. This includes experience=20
gained in academia, government, other public sector, and voluntary sector=20
or market research settings. We would expect at least five years of=20
experience for an appointment at Research Director level. Candidates would=
=20
also be expected to be familiar with SPSS, Stata or a similar statistical=20
package.
The post is based at NatCen=92s London office in EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A325,000 - =A334,000 for a Senior Statistician and in excess of=20
=A334,000 for a Research Director. We offer excellent prospects for=20
advancement, favourable working conditions (including generous holiday=20
entitlement, a pension scheme and every other Friday off) and you will=20
enjoy working in a stimulating, hardworking and friendly environment.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, HR & Training Officer, NatCen, 35 Northampton Square, London EC1V=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Friday 18th November 2005.
=========================================================================
Date: Fri, 21 Oct 2005 17:12:31 +0100
Reply-To: Richard Morris <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Richard Morris <[log in to unmask]>
Subject: JOB - Statistician to analyse HIV infection data from General
Practice Research Database
Comments: To: [log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
Informal enquiries to Dr Catherine Mercer [log in to unmask] , please,=20
not to me.
Statistician (RA1A)
Salary in the RA1 range from =A320,044 - =A330,002 plus =A32,440, London=20
Allowance depending on qualifications and experience.
Applications are invited for the position of Statistician to work on a new=
=20
study funded by the Medical Research Council, which will explore the=20
epidemiology, management of, and costs of HIV infection in UK general=20
practice (primary care),using the GPRD.The current post was developed to=20
undertake analyses of large datasets from the General Practice Research=20
Database (GPRD), the world's largest database of anonymised longitudinal=20
medical records from primary care. The post holder will work closely with=20
clinicians, statisticians, and health economists on the study group in=20
order to develop appropriate analytic strategies.
You should have a MSc or equivalent degree in a discipline such as applied=
=20
statistics or epidemiology (registration for a higher degree will be=20
encouraged if appropriate). A sound knowledge of epidemiological research=20
methodology and related statistical techniques is essential. Experience of=
=20
using STATA or alternative statistical packages is essential.
Effective communication and inter-personal skills are also needed.
For a full job description and application details please contact Ms=20
Corinne Ward, Department of Primary Care & Population Sciences, Royal Free=
=20
& University College Medical School, Royal Free Campus, Rowland Hill=20
Street, London NW3 2PF, 0207 472 6138 email=20
<mailto:[log in to unmask]>[log in to unmask] or download from=20
<http://www.ucl.ac.uk/pcps/information/vacancies/index.htm>http://www.ucl.ac=
.uk/pcps/information/vacancies/index.htm=20
UCL Taking Action for Equality
The closing date for applications is Monday, 31st October 2005.
=========================================================================
Date: Fri, 21 Oct 2005 17:18:44 +0100
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
SURVEY STATISTICIAN
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Survey Statistician. The post would involve work in=20
the areas of sample design and weighting, methodological experimentation,=20
and survey data analysis and reporting. There will also be opportunities=20
for teaching.
Candidates for the post would be expected to have a degree in statistics,=20
mathematics, social statistics or a closely related discipline and/or=20
Chartered Statistician status. Some professional experience of survey=20
statistics would be preferred, but not required. This includes experience=20
gained in academia, government, other public sector, and voluntary sector=20
or market research settings. Candidates would also be expected to be=20
familiar with SPSS, Stata or a similar statistical package.
The post is based at NatCen=92s London office in EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A319,000 - =A325,000. We offer excellent prospects for=
advancement,=20
favourable working conditions (including generous holiday entitlement, a=20
pension scheme and every other Friday off) and you will enjoy working in a=
=20
stimulating, hardworking and friendly environment.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, HR & Training Officer, NatCen, 35 Northampton Square, London EC1V=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Friday 18th November 2005.
=========================================================================
Date: Sat, 22 Oct 2005 17:38:16 +0100
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: New Group for statistician has formed. Request to join
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Hi,
I have started a new group name "Statisticians_group" in the yahoo group for statisticians or the persons who are interested in statistics. The URL is http://in.groups.yahoo.com/group/Statisticians_group/
MOTIVATION:
My purpose is to make a platform where all the students, scientists and the other people interested in statistics can discuss, exchange information, knowledge and experience among each other. There are many problem we face when we are dealing with statistics regarding both theory and its application using software. this group targets to slove this problem.
RESOURCES:
I have already uploaded 15 tutorials on statistical genetics, Design of Experiments, Data mining and also on Introductory statistics. They are either word document file or pdf file or some powerpoint represetations.
I have also uploaded two seminars on "Estimation of Genetic Parameters of Growth Curve Parameters" and Statistical Analysis of DNA fingerprinting". Both of these are document files.
I have also uploaded around 95 photos of different eminent statisticians.
Regarding myself, I am Madan Gopal Kundu from New Delhi, India pursuing presently Ph.d. on Statistical Modelling. I keep interests in Regression analysis, statistical modelling, Statistical Genetics and Design of Experiments.
Invitation:
All the statisticians who are scientists or the students or the people who keeps interest on this subject are coordially invited to join in this group.
Hope you will join the group as early as possible and you will enjoy.Group Email AddressesPost message:[log in to unmask]:[log in to unmask]:[log in to unmask] owner:[log in to unmask]
*************************Address separator*******************************************************
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web. http://www.freewebs.com/madanstata
*****************************************************************************************************
---------------------------------
Yahoo! India Matrimony: Find your partner now.
=========================================================================
Date: Mon, 24 Oct 2005 08:29:24 +0100
Reply-To: "Payne, Bradley" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Payne, Bradley" <[log in to unmask]>
Subject: Day Break Courses 2005-2006
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Thanks for your responses. We have drawn up a list of possible Day =
Break courses for the 2005-2006 programme, but what we formally offer =
will depend on what you would like to have available. Would you please =
let us have your reactions to the following possible one day courses:
1. Toxicology and Quantal Response
2. Process Control and Design in Industry
3. Wavelets in Statistics
4. Environmental Statistics
5. Survey Sampling
Please let us know:
* Which courses you would be likely to attend (and any particular =
preferred emphases in the topic)
* Which locations would interest you (RSS London, Nottingham, =
Birmingham, Manchester, Other - if you can be sure of about 6 local =
participants)
By 10th November we will consider all responses and let you know which =
courses we will aim to set up for the 2005-2006 programme.
Regards,
Brad Payne and Vic Barnett.
[log in to unmask]
[log in to unmask]
This email is intended solely for the addressee. It may contain private =
and confidential information. If you are not the intended addressee, =
please take no action based on it nor show a copy to anyone. In this =
case, please reply to this email to highlight the error. Opinions and =
information in this email that do not relate to the official business of =
Nottingham Trent University shall be understood as neither given nor =
endorsed by the University.
Nottingham Trent University has taken steps to ensure that this email =
and any attachments are virus-free, but we do advise that the recipient =
should check that the email and its attachments are actually virus free. =
This is in keeping with good computing practice.
=========================================================================
Date: Mon, 24 Oct 2005 12:40:27 +0100
Reply-To: Mario Cortina Borja <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mario Cortina Borja <[log in to unmask]>
Subject: SEMINARS Oct & Nov UCL Institute of Child Health
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The following Departmental seminars will take place in Room A, 2nd floor
Wellcome Trust Building, at the UCL Institute of Child Health,
30 Guilford Street, London WC1N 1EH
Wed 26th October, 2pm Room A
Dr Alan Kimber
School of Applied Statistics, The University of Reading
Growth and development of low birthweight preterm babies
In this talk I will discuss the results from a small randomised trial based
at the
Royal Hampshire County Hospital in Winchester, to investigate the effect of
an early
weaning strategy for low birthweight preterm babies. The babies were
followed up from birth
until age 42 months and the results of the analyses of the data are considered.
Some issues relating to growth curve models are also raised in this context.
===============================
Wed 16th November, 2pm Room A
Dr Tanyana Jackiewicz
Telethon Institute for Child Health Research, University of Western Australia
TBA
===============================
Wed 23rd November, 2pm Room A
Dr Cosetta Minelli
Genetic Epidemiology Group, Department of Health Sciences, University of
Leicester
Recommendations for the meta-analysis of genetic association studies
Genetic association studies have shown a disappointing failure to replicate
and validate postulated associations.
Evidence synthesis has been advocated to overcome the problem of inadequate
sample size and help identify and
address other important methodological issues of primary studies. However,
despite the fast growth in number
of published meta-analyses of genetic association studies, their
methodological aspects have received little
attention. The need for guidelines for the conduct of meta-analysis in this
field is reflected by the poor
quality affecting many published meta-analyses. In this talk, an overview
of the issues which require consideration
when synthesising the evidence on genetic association studies will be
presented, and practical recommendations
proposed for dealing with both general meta-analysis issues and issues
specific to meta-analysis of genetic
association studies. These recommendations are based on evidence available
in the literature and on our original work.
Particular emphasis will be given to two specific aspects; 1) the choice of
how to pool the data across genotypes
based on assumptions about the underlying genetic model; 2) the evaluation
of departures from Hardy-Weinberg
equilibrium as a proxy for poor quality of primary studies, and the
decision of how to handle studies with departures.
Methods currently used to deal with these issues will be reviewed and
discussed, and alternative approaches
will be presented.
All welcome.
Instructions for getting here can be found in:
http://www.ich.ucl.ac.uk/gosh_families/your_visit/getting_here/index.html
_______________________
Dr Mario Cortina Borja
Senior Lecturer in Statistics
[log in to unmask] Phone +44(0)20 7905 2113 Fax +44(0)20 7905 2381
Paed. Epid. & Biostats, Institute of Child Health, UCL, London WC1N 1EH, UK
=========================================================================
Date: Mon, 24 Oct 2005 16:30:26 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Contract Statistician-Kent
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
I=20have=20a=20brand=20new=20contract=20Stats=20role=20to=20be=20based=20i=
n=20Kent=20to=20start=20in=20November.=20The=20initial=20contract=20is=20f=
or=203=20months=20and=20may=20go=20longer.=20Ideally=20the=20candidates=20=
should=20have=205+=20years=20background=20in=20stats=20and=20the=20writing=
=20of=20Statistical=20Analysis=20Plans=20(SAPs)=20within=20a=20pharma=20en=
vironment.=20
You=20will=20be=20required=20to=20Provide=20statistical=20input=20to=20new=
=20protocols:=20draft=20the=20statistical=20sections.=20=20Review=20the=20=
sections=20on=20study=20design=20and=20description=20of=20clinical=20endpo=
ints.
For=20ongoing=20studies,=20advise=20on=20data=20collection:=20this=20inclu=
des=20review=20of=20the=20proposed=20CRF.
Prepare=20the=20data=20analysis=20for=20the=20clinical=20study=20report:=20=
review=20protocol=20deviations/violations,=20confirm=20the=20validity=20of=
=20the=20original=20statistical=20analysis=20plan,=20program=20and=20condu=
ct=20the=20original=20exploratory=20efficacy=20analysis,=20review=20the=20=
formal=20safety=20and=20efficacy=20tables=20produced=20by=20reporting=20st=
atisticians.
If=20this=20sounds=20like=20the=20kind=20of=20role=20you=20would=20be=20in=
terested=20in=20hearing=20more=20about=20please=20contact=20me=20for=20mor=
e=20details.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com=20<http://www.jamesharvard.com/>=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Mon, 24 Oct 2005 16:00:57 +0100
Reply-To: Chris Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Brown <[log in to unmask]>
Subject: NEW Job Roles statisticians and SAS programmers for
pharmaceutical giant
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Summary of Role: This is a premier opportunity for academic=20
statistician / clinical statistician or SAS PROGRAMMERS to take on a=20
position of key influence within an elite pharmaceutical company, to be=20
based in Switzerland, on the border with France.
Company Info: Our client is a pharmaceutical giant, ranking in the=20
world's top 5 in this industry. It operates in 140 countries through 360=20
independent affiliates, while offering a range of pharmaceutical products=20
and services within primary care, oncology, transplantation, ophthalmics=20
and mature products. In its consumer health division, it deals primarily=20
with OTC drugs, animal health, medical nutrition, infants and babies. In=20
2003, its group sales increased by 19%, taking this market leader from=20
strength to strength. A generous benefits package is available. =20
The roles are AT all levels and listed below:
Statistician:=20
1. Be responsible for all statistical tasks on the assigned clinical=20
trials, e.g., clinical trial design/planning, analysis plan, reporting=20
activities, exploratory analyses and additional analyses to support=20
publications, and statistical consultation during the run-ning phase.=20
2. Track clinical trial activities and milestones.=20
3. Ensure timeliness and adequate quality of all B&SR deliverables for the=20
assigned=20
trials.=20
4. Follow processes and adhere to Novartis and project specific standards=20
as well as Health Authority requirements (SOPs, NIPs, Master Analysis=20
Plan, GCP, and regulatory guidelines).=20
5. Establish and maintain sound working relationships and effective=20
communication within the clinical trial team and the B&SR team.=20
6. Participate in non-clinical project activities as needed. =20
Senior Statistician:=20
1. Be responsible for all statistical tasks on the assigned clinical=20
trials, and perform these tasks with a high level of independence e.g.:=20
clinical trial design/planning, analysis plan, reporting activities=20
including exploratory analyses and additional analyses to support=20
publications, plus statistical consultation during the running phase.=20
2. May be assigned to lead a small project or parts (e.g. indication) of a=20
project, initially under the guidance of a more experienced statistician,=20
but with increasing autonomy and accountability.=20
3. Track clinical trial/allocated project activities and milestones.=20
4. Ensure timeliness and adequate quality of all B&SR deliverables for the=20
assigned trials and project tasks.=20
5. Follow processes and adhere to Novartis and project specific standards=20
as well as Health Authority requirements (SOPs, NIPs, Master Analysis=20
Plan, GCP, and regula-tory guidelines).=20
6. Participate in or lead non-clinical project activities as needed.=20
7. Establish and maintain sound working relationships and effective=20
communication within the Clinical Trial Team/International Clinical Team=20
and the B& SR team. =20
Expert Statistician:=20
1. Be the statistical leader and project manager for all B&SR deliverables=20
globally for=20
=95 a clinical development program, or=20
=95 a mega trial.=20
2. Ensure that clinical development program (or parts assigned) meets=20
scientific, regu-latory, quality, and commercialization requirements,=20
through interaction with the IPT and ICT.=20
3. Perform matrix management of B&SR project team, and mentor staff as=20
required.=20
4. Ensure ECD-Bios, and modeling and simulation contribution is fully=20
integrated into the project.=20
5. Plan and track project level activities for B&SR, including resources.=20
6. Establish and maintain project standards (master analysis plan, full=20
development project specifications).=20
7. Plan and manage submission activities, like SCS, SCE, briefing books.=20
8. Participate in/lead non-clinical project activities.=20
9. Interact with Health Authorities and external consultants as=20
appropriate. Support and defend analyses and their interpretation at=20
Health Authority Meetings. Repre-sent Biostatistics at FDA Advisory=20
Committee meetings.=20
10. Could take Trial Statistician responsibility as appropriate. =20
Senior Expert Statistician:=20
1. Be the independent statistical leader and project manager for all B&SR=20
deliverables globally for a large and technically complex clinical=20
development program, including supervisory functions like appraisals of=20
full-time team members.=20
2. Ensure that clinical development program meets scientific, regulatory,=20
quality and commercialization requirements, through interaction with the=20
IPT and ICT (e.g., drive CDP and TPP development from a statistical=20
perspective).=20
3. Be a scientific leader/expert within a TA, showing leadership/be the=20
point of refer-ence in statistical methods, regulatory guidelines, project=20
strategies, clinical devel-opment planning and study design in specific=20
indications.=20
4. Perform matrix management of B&SR project team, and mentor staff as=20
required.=20
5. Ensure quality of scientific contributions, integrating input from ECD-
Biostatistics, Methodology, Modeling and Simulation and external experts.=20
Initiate and drive inno-vation by implementing novel methods and=20
innovative designs.=20
6. Plan and track project level activities for B&SR, including resources.=20
7. Establish and maintain project standards (master analysis plan, full=20
development project specifications).=20
8. Plan and manage submission activities, like SCS, SCE, briefing books.=20
9. Participate in/lead non-clinical project activities.=20
10. Interact with Health Authorities and external consultants as=20
appropriate. Support and defend analyses and their interpretation at=20
Health Authority Meetings. Take sig-nificant Biostatistics leadership role=20
at FDA Advisory Committee meetings.=20
11. Evaluate in licensing opportunities. =20
Statistical Programmer:=20
1. Provide input as required at all meetings, discussions and activities=20
covering aspects of Statistical Reporting on trial level activities.=20
2. As required, make certain that documents and specifications are=20
consistent and comply with company standards by providing input into study=20
protocol, CRF, data structures, specifications of analysis datasets,=20
pooled datasets, listings, summaries, figures and tables for phase I =96 IV =
clinical trials.=20
3. Program, according to specifications, analysis datasets, pooled=20
datasets, listings, tables, and figures for phase I-IV clinical trials and=20
for SCS and SCE.=20
4. Track clinical trial milestones for SR deliverables.=20
5. Maintain records for all assigned projects including archiving of trial=20
analysis and associated documentation.=20
6. Support senior members of SR and program statisticians in maintaining=20
efficient interfaces with internal and external customers.=20
7. Comply with pre-defined project / study standards and specifications.=20
8. Support SR colleagues in non-clinical initiatives.=20
Senior Statistical Programmer:=20
1. Lead the programming activities for a trial, early phase project,=20
indication, or publication activities; lead a complex/large project under=20
supervision of a Program Statistician / Group Head.=20
2. Maintain efficient interfaces with internal and external customers with=20
support of SR management and the Program Statistician.=20
3. Develop resource plans as required with support of the Group Head.=20
4. Develop and comply with project / study standards and specifications=20
following internal guidelines.=20
5. Make certain that documents and specifications are consistent and=20
comply with company standards by providing input into study protocol, CRF=20
and data structures tables, listings and figures for phase I-IV clinical=20
trials and submission activities.=20
6. Program, according to specifications, analysis datasets, pooled=20
datasets, listings, tables, and figures for phase I-IV clinical trials and=20
for SCS and SCE with high quality and within milestones.=20
7. In consultation with the statistician, develop specifications for=20
analysis datasets, pooled datasets, and listings.=20
8. Support quality control and quality audit of deliverables.=20
9. Maintain records for all assigned projects and archiving of trial /=20
project analysis and associated documentation.=20
10. Participate in the selection of CROs and supervise the SR trial=20
activities of the CROs.=20
11. Provide input on process improvement initiatives and participate in=20
non-clinical project activities.=20
Principal Statistical Programmer:=20
1. Manage the programming activities for a global project following=20
internal project management guidelines including resource planning.=20
2. Act as Program Programmer for assigned projects and take a programming=20
leadership role on the B&SR project team.=20
3. Maintain efficient interfaces with internal and external customers with=20
advice from SR management.=20
4. Develop and comply with project / study standards and specifications=20
following internal and regulatory guidelines.=20
5. Oversee programming style, quality of SR contributions and compliance=20
with timelines.=20
6. Provide SR input and lead sections of Full Development and Submission=20
Working Groups.=20
7. Ensure that documents and specifications are consistent and comply with=20
company standards by providing input into study protocol, CRF and data=20
structures.=20
8. Program, according to specifications, analysis datasets, pooled=20
datasets, listings, summaries, figures and tables for phase I-IV clinical=20
trials and for SCS and SCE. Ensure quality control and quality audit of=20
deliverables.=20
9. Maintain records for all assigned projects and archive trial / project=20
analysis and associated documentation.=20
10. Participate in the selection of CROs, as required, and supervise SR=20
project activities for CROs.=20
11. Train staff on trial and project level activities and internal=20
processes.=20
12. Participate in or lead non-clinical project activities.=20
Senior Principal Statistical Programmer:=20
1. Act as independent Program Programmer for assigned projects, take a=20
programming leadership role on the B&SR project team. Act as a deputy for=20
Group Head on key projects.=20
2. Maintain efficient interfaces with internal and external customers=20
consulting SR management for high level strategic advice.=20
3. Manage complex projects.=20
4. Oversee programming style, quality of SR contributions and compliance=20
with timelines.=20
5. Develop and implement project / study standards and specifications for=20
complex projects in compliance with internal and regulatory guidelines.=20
6. Plan resources for key sub-areas within SR (e.g., TAs).=20
7. Ensure that the study protocol and CRF are consistent and comply with=20
company standards.=20
8. Program analysis datasets, pooled datasets, listings, summaries,=20
figures and tables for phase I-IV clinical trials and for SCS and SCE=20
according to specifications.=20
9. Participate in the selection of CROs and supervise SR activities for=20
CROs.=20
10. Keep up-to-date with state of the art programming techniques.=20
11. Induct, supervise (matrix) and train programmers on programming=20
skills, trial and project level activities, and internal processes. =20
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
=20
www.fforde-management.com
=20
This transmission has been issued by Fforde-Management Ltd for the=20
information of the addressee only and should not be reproduced and / or=20
distributed to to any other person. Unless otherwise agreed in writing,=20
any CV or Candidate details attached hereto must be read in conjunction=20
with, and are subject to, Fforde-Management's Standard Terms of Business. =20
Its contents are based on information obtained from sources believed to be=20
reliable but Fforde-Management makes no representation and accepts no=20
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Mon, 24 Oct 2005 16:30:12 +0100
Reply-To: "[log in to unmask]" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: Job: Research Fellow in Paediatric Ophthalmic Epidemiology,
Institute of Ophthalmology, London
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UNIVERSITY COLLEGE LONDON
INSTITUTE OF OPHTHALMOLOGY
Bath Street, London EC1V 9EL
Tel: 020-7608 6860
RESEARCH FELLOW IN PAEDIATRIC OPHTHALMIC EPIDEMIOLOGY
DIVISION OF INHERITED EYE DISEASE
Applications are invited for the post of Research Fellow in Paediatric=20
Ophthalmic Epidemiology to work on a national study of the incidence, mode=
=20
of detection, and causes of retinal dystrophies in children in the=20
UK. This will involve working with a large group of ophthalmologists and=20
electrophysiologists throughout the UK. The successful applicant will=20
carry out a wide range of duties including planning the study, data=20
collection and analysis, and report writing. Applicants should hold a=20
degree in a relevant discipline such as epidemiology and ideally have a=20
higher degree.
Starting salary will be on the RAIB/RAIA pay scale (depending on=20
experience), spine point 6 (=A322,289 per annum), plus =A32,400 London=20
Allowance per annum. The post is funded by Moorfields Eye Hospital Special=
=20
Trustees and will be for three years.
Informal enquiries may be made to Professor Tony Moore (tel: 020 7566 2260)=
=20
or Dr Jugnoo Rahi (tel. 020 7905 2250). A job description and an=20
application form may be obtained through the Institute web-site:=20
www.ucl.ac.uk/ioo/jobs/full7156 or via email at : [log in to unmask],=
=20
Please quote reference number: 127156. Closing date for the receipt of=20
applications: 4 November 2005.
The Institute operates a no-smoking policy
Pursuing Excellence in Education and Research
Working Towards Equal Opportunity
=========================================================================
Date: Mon, 24 Oct 2005 16:49:45 +0100
Reply-To: Gordon Taylor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gordon Taylor <[log in to unmask]>
Subject: RSS Medical Section meeting (29th Nov): 'Statistics in the
post-genomic age'
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
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ROYAL STATISTICAL SOCIETY MEDICAL SECTION=20
=20
Tuesday 29 November 2005 2.00-5.00 (tea at 3.10).
=20
To be held at the RSS, 12 Errol Street, London EC1Y 8LX
(directions http://www.rss.org.uk/about/direction.html)
Pre-registration is recommended - please email [log in to unmask] <mail=
to:[log in to unmask]> <mailto:[log in to unmask]> or tel. 020 7638 89=
98 to register.
=20
=91Statistics in the post-genomic age=92=20
=20
A half-day meeting of presentations
=20
2.00 Wally Gilks. MRC Biostatistics Unit, Cambridge.
2.35 Heather J. Cordell, Department of Medical Genetics, University of=20
Cambridge.
3.10 Tea
3.40 Sylvia Richardson, Imperial College, London.
4.20 Jenny Barrett, Division of Genetic Epidemiology, University of Leeds.
5.00 Close
=20
Titles and abstracts
Statistical Bioinformatics: an overview.
Wally Gilks. MRC Biostatistics Unit, Cambridge.
The rapid expansion of DNA, protein, gene expression and other genomic=20
databases has spawned the field of bioinformatics. Work in this field=20
spans the development of databases and algorithms, and research in basic=20
biology, genetics and medicine. I will briefly review the state of the=20
art, focussing on current and potential areas of involvement of=20
statisticians.
Regression methods for SNP data in case/control and family studies.
Heather J. Cordell, Department of Medical Genetics, University of Cambrid=
ge.
Here I discuss methods of design and analysis of genetic association=20
studies. There are many similarities between genetic association studies=20
and classical epidemiological studies of environmental risk factors, but=20
there are also issues specific to studies of genetic risk factors such=20
as the use of certain family-based designs, accounting for different=20
underlying genetic mechanisms and the impact of population history.
Statistical analysis of gene expression data
Sylvia Richardson, Imperial College, London.
The powerful technology of cDNA or oligonucleotide microarray makes it=20
possible to study simultaneously the expression of thousands of genes in=20
different samples. To interpret and model this vast body of data poses=20
interesting statistical challenges. Issues of signal extraction,=20
normalisation and how to find groups of genes that are differentially=20
expressed will be discussed. The flexibility and benefits of using a=20
Bayesian hierarchical modelling framework to perform such analyses will=20
be illustrated.
Statistical issues in clinical proteomics
Jenny Barrett, Division of Genetic Epidemiology, University of Leeds.
Proteomics concerns the identification and characterisation of expressed=20
proteins in an organism. The subject will be introduced, focusing on=20
SELDI mass spectrometry profiles. Statistical issues in experimental=20
design, pre-processing and peak detection will be discussed, before=20
moving on to identification of differences between peak profiles in=20
different sample groups. Methods will be illustrated with=20
clinically-motivated examples.
=========================================================================
Date: Mon, 24 Oct 2005 16:59:09 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Statistician /SAS Programmer - Health/Biology/Database
Analyst
Headquartered in the UK and with US branches, our client is one of the
pharmaceutical industry leaders, with an estimated 7% of the world's
pharmaceutical market. They are at the forefront of 4 major therapeutic
areas - anti-infectives, central nervous system (CNS), respiratory and
gastro-intestinal/metabolic. They are a key operator in vaccines and have
a growing portfolio of oncology products. Benefits package available.
Successful candidates will be responsible for analysis and statistical
support for Epidemiology studies, with emphasis on genetic Epidemiology,
including collaborating with research teams in conducting and managing
studies utilizing large national/international cross-sectional and
longitudinal Healthcare databases. Candidates will coordinate and provide
statistical programming support and consultation for projects relating to
genetic studies, disease natural history, burden of illness and drug
safety studies, and provide Quality Control support for research and
programming initiatives throughout Worldwide Epidemiology. Experience in
both statistics and a high level of SAS programming is required. A
postgraduate qualification in Epidemiology, Statistics, Computer Science,
Genetics and/or other quantitative or health-related discipline, is
preferred.
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
This transmission has been issued by Fforde-Management Ltd for the
information of the addressee only and should not be reproduced and / or
distributed to to any other person. Unless otherwise agreed in writing,
any CV or Candidate details attached hereto must be read in conjunction
with, and are subject to, Fforde-Management's Standard Terms of Business.
Its contents are based on information obtained from sources believed to be
reliable but Fforde-Management makes no representation and accepts no
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Mon, 24 Oct 2005 17:53:22 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Biostatistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - Biostatistician =20
=20
Salary: Up to GBP 50ph, DOE=20
=20
Position type: Contract=20
Location: United Kingdom - East Anglia=20
=20
Background:=20
=20
My client has an open position within the biostatistics department for a
Biostatistician contractor. For an initial 6 months you will be required
to work alongside the existing Programmer and Lead Statistician to
complete work outstanding for the mother company. Candidates require 3 +
years experience in the biostatistics arena with expertise in SAS.
Interview times await and for the right candidate the assignment could
start with 2 weeks.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent.
=20
To apply, please reply with an up to date copy of your CV attached
quoting the reference 'grv-3018'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=20
=========================================================================
Date: Mon, 24 Oct 2005 20:52:09 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Primoris Contract Solutions <[log in to unmask]>
Organization: Primoris Contract Solutions
Subject: Contract Statistician - Belgium
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Content-Transfer-Encoding: 7bit
Dear Allstaters,
Our client, a leading pharmaceutical company based in Belgium, urgently
seeks a biostatistician for a 6 month contract. You will be involved in a
variety of activities, including input into trial design and protocol
development, statistical analysis plans, statistical analysis programming,
input into clinical study reports. This will be in the CNS therapeutic area.
You should have 7 years experience as a statistician in the pharmaceutical
industry with at least an MSc qualification in statistics.
If you are interested in this position, please contact us at
[log in to unmask] for more details.
For other positions see www.primoriscs.co.uk.
Primoris Contract Solutions Ltd
Tel: 07092 150054
Fax: 07902 150052
[log in to unmask]
=========================================================================
Date: Mon, 24 Oct 2005 21:46:36 -0700
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Astro Workshop
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Sorry for cross-posting
National Workshop
>
> On
> Statistical Analysis of Astronomical and
> Astrophysical Data
>
> December 21-23, 2005
>
>
>
> Jointly organized by
>
> Inter University Centre for Astronomy and
> Astrophysics Pune
> and
> Department of Statistics Calcutta University
>
>
>
> An introductory workshop on Statistical Analysis of
> Astronomical and Astrophysical data will be held in
> the Department of Statistics, Calcutta University
> during December 21-23, 2005.
> Interested persons from the fields of Mathematics,
> Physics and Statistics may forward their
> applications
> with short biodata (indicating name, gender,
> address,
> affiliation,Present status, Food habit,
> Accommodation
> required or not) to
>
> Prof. Ajit Kembhavi or Dr.Asis Kr Chattopadhyay
> IUCAA Department of Statistics
> Post Bag 4, Ganeshkhind, Calcutta University
> Pune 411 007 India 35,Ballygunge Circular Road
> E-mail:[log in to unmask] Kolkata 700 019 India
> E-mail: [log in to unmask]
>
>
> NB. There is no registration fee. Local hospitality
> will be provided. Limited fund is available for
> travel
> support.The last date for receiving application is
> October 30, 2005
Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
__________________________________
Yahoo! FareChase: Search multiple travel sites in one click.
http://farechase.yahoo.com
=========================================================================
Date: Tue, 25 Oct 2005 08:48:00 +0100
Reply-To: Dave Curtis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dave Curtis <[log in to unmask]>
Subject: JOB Post-doctoral research assistant in statistical genetics
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Postdoctoral Research Assistant
=A329,250 - =A334,800 including London Allowance
Centre for Psychiatry
Wolfson Institute of Preventive Medicine
The Centre for Psychiatry, headed by Professor Stephen Stansfeld, is seek=
ing to=20
appoint a postdoctoral research assistant to join the London Statistical=20
Genetics Group (www.mds.qmul.ac.uk/statgen) led by David Curtis and Pak S=
ham in=20
the development of new statistical methods for mapping disease genes, esp=
ecially=20
those with complex inheritance.
The main focus of the project is to compare the performance of different =
methods=20
of detecting linkage disequilibrium between disease susceptibility loci a=
nd=20
genetic markers, consisting of both biallelic and multiallelic markers. S=
amples=20
for testing these methods will be generated using simulation methods but =
based=20
on real datasets available through the HAPMAP project. Established method=
s will=20
be tested and new methods will be developed and evaluated. It is expected=
that=20
the post-holder will also provide general computing support to the group,=
=20
including some data analysis and systems support.
You must be able to program in C and be qualified in statistics at BSc le=
vel or=20
above. You must either hold a PhD already or have submitted your thesis.=20
Experience in genetics and other computer-related skills would be advanta=
geous.
The main duties will be to carry out the data simulation and analysis des=
cribed=20
above. Programs for distribution will be written in C and/or C++, with so=
ftware=20
development being carried out in a DOS/Windows and/or Unix environment. I=
n=20
collaboration with other members of the group, you will produce scientifi=
c=20
papers and presentations describing and evaluating these new methods. You=
will=20
also assist in the documentation and maintenance of software distributed =
by the=20
group, including providing support for web pages and ftp sites.
Further information can be obtained from David Curtis on 020 7377 7729 or=
by=20
email at [log in to unmask] For an application pack, contact recrui=
tment=20
on 020 7882 7228 or e-mail [log in to unmask] Completed application =
forms=20
quoting reference 05384/CD, along with a copy of your curriculum vitae sh=
ould be=20
returned to Recruitment =96Whitechapel, Post Room, Ground Floor, Pre-Clin=
ical=20
Building, Waldon Street, E1 2AL. They should be returned by 18th November=
2005.
The annual salary will be up to =A334,800, depending on experience, inclu=
ding=20
=A32,134 London Allowance per annum. Interviews will be held on 12 Decemb=
er 2005.
Promoting excellence in teaching, learning and research
Working towards Equal Opportunities
=========================================================================
Date: Mon, 24 Oct 2005 21:46:36 -0700
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Astro Workshop
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
Sorry for cross-posting
National Workshop
>=20
> On
> Statistical Analysis of Astronomical and =20
> Astrophysical Data
>=20
> December 21-23, 2005
>=20
> =20
>=20
> Jointly organized by
>=20
> Inter University Centre for Astronomy and =20
> Astrophysics Pune
> and
> Department of Statistics Calcutta University
>=20
> =20
>=20
> An introductory workshop on Statistical Analysis of
> Astronomical and Astrophysical data will be held in
> the Department of Statistics, Calcutta University
> during December 21-23, 2005. =20
> Interested persons from the fields of Mathematics,
> Physics and Statistics may forward their
> applications
> with short biodata (indicating name, gender,
> address,
> affiliation,Present status, Food habit,
> Accommodation
> required or not) to=20
>=20
> Prof. Ajit Kembhavi or Dr.Asis Kr Chattopadhyay
> IUCAA Department of Statistics
> Post Bag 4, Ganeshkhind, Calcutta University
> Pune 411 007 India 35,Ballygunge Circular Road
> E-mail:[log in to unmask] Kolkata 700 019 India
> E-mail: [log in to unmask]
> =20
>=20
> NB. There is no registration fee. Local hospitality
> will be provided. Limited fund is available for
> travel
> support.The last date for receiving application is
> October 30, 2005
Arindam Gupta
Junior Research Fellow
Department of Statistics
Calcutta University
India
=09
__________________________________=20
Yahoo! FareChase: Search multiple travel sites in one click.
http://farechase.yahoo.com
=========================================================================
Date: Tue, 25 Oct 2005 09:37:46 +0100
Reply-To: Richard Feltbower <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Richard Feltbower <[log in to unmask]>
Subject: JOB: Medical Statistician - University of Leeds
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Medical Statistician - Job ref 317015=20
University of Leeds
Leeds Institute for Genetics, Health and Therapeutics, Centre for =
Epidemiology and Biostatistics
Closing date: 28 October 2005
This full time post is available from January 2006 for a fixed term of =
18 months to join an enthusiastic and motivated team of researchers in =
the Paediatric Epidemiology Group. You will work to develop novel =
census-based measures of population mixing and community characteristics =
in close collaboration with researchers at St Andrews University. Duties =
will include collection and validation of data; linking disease counts =
across small geographical areas with relevant census data; perform =
statistical analysis; write up results in medical and statistical =
journals, attend and present at UK and international scientific =
meetings.=20
A degree in a relevant subject (maths, statistics), advanced techniques =
in statistics, experience of one or more statistical packages (Stat, =
SAS, SPSS), and experience in Microsoft Word and databases (Access) are =
essential, together with the ability to write up results in report and =
academic publication form, be self motivated and work under own =
initiative, and able to prioritise and co-ordinate workloads to tight =
deadlines. A postgraduate qualification or relevant experience in =
medical statistics or epidemiology, knowledge of the UK decennial =
Census, and experience of developing computational models is desirable.
Research IA (=A319,460 - =A323,643 p.a.)=20
Application packs are also available from Sarah Skinner; Centre for =
Epidemiology and Biostatistics, tel 0113 343 7646 email =
[log in to unmask]
Further details about the post can be obtained from the University of =
Leeds website http://wwwnotes2.leeds.ac.uk/jobs/unijob.nsf/Jobs or by =
contacting Richard Feltbower: tel 0113 343 4841 email =
[log in to unmask]
Job ref 317015. Closing date 28 October 2005. Interviews to be held on 8 =
November 2005.
---------------------------------------------------------
Richard Feltbower
Paediatric Epidemiology Group
Centre for Epidemiology & Biostatistics
University of Leeds
30-32 Hyde Terrace
Leeds LS2 9LN
Tel +44 (0)113 343 4841
Fax +44 (0)113 343 4877
www.leeds.ac.uk/medicine/peg
=========================================================================
Date: Tue, 25 Oct 2005 11:57:28 +0100
Reply-To: Jayne Green <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jayne Green <[log in to unmask]>
Subject: Research Associate & Research Assistant Posts - Department of Pu
blic Health and Primary Care, University of Cambridge
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PLEASE REPLY TO THE CONTACT IN THE ADVERTISEMENT BELOW=20
University of Cambridge
Department of Public Health and Primary Care
Limit of tenure - Three years from start date=20
Epidemiologist and Data Analyst (2 separate posts) for large-scale =
medical
studies
Two people are required to join a dynamic, multi-disciplinary team =
working
on large-scale research into the molecular and genetic causes of heart
attacks.=20
Epidemiologist post
Candidates should possess a relevant first or postgraduate degree in
epidemiology or a closely related discipline and at least one year of
relevant work experience. The main focus is on the collation, analysis =
and
synthesis of large epidemiological datasets. The appointment will be =
for 3
years at the Research Associate grade within the salary scale =A320,044 =
to
=A330,002 per annum according to experience.
Data Analyst post
Candidates should possess a relevant degree or work experience, a =
rigorous
approach to data, and good organisational skills. The main focus is on
harmonising and checking large datasets on heart disease, which are
contributed by collaborating scientists throughout the world. The
appointment will be for 3 years at the Research Assistant grade within =
the
salary scale =A320,044 to =A322,289 per annum.
Further information and application details can be obtained from =
Vanessa
White, Department of Public Health and Primary Care, Strangeways =
Research
Laboratory, Wort's Causeway, Cambridge CB1 8RN (tel. 01223 741302; fax =
01223
741339; e-mail=20
([log in to unmask]) to whom applications should be sent by Friday =
18
November 2005.
The Department operates a no-smoking policy.
The University of Cambridge offers a range of benefits including =
attractive
pension schemes, professional development, family friendly policies, =
health
and welfare provision and staff discounts. The University is committed =
to
equality of opportunity.
=========================================================================
Date: Tue, 25 Oct 2005 14:53:29 +0100
Reply-To: Kevin McDaid <[log in to unmask]>
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<[log in to unmask]>
From: Kevin McDaid <[log in to unmask]>
Subject: JOB: MSc Studentship
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TWO-YEAR FUNDED MSC STUDENTSHIP IN SOFTWARE FAILURE MODELLING
A studentship is now available at Dundalk Institute of Technology, Irelan=
d.
PROJECT TITLE: =91The Use of Bayesian Software Failure Models to Improve=20
the Prediction of Reliability during Testing'
=92
YOU SHOULD HAVE: A good first degree in a maths-based subject.
DESIRABLE BUT NOT ESSENTIAL ARE:
Knowledge of Bayesian theory and methods.
General programming skills.
Understanding of software processes.
Funding is for two years with a monthly tax free stipend of 900 euro paid.
Closing date for applications is 14th November, 2005.
Please contact Dr Kevin McDaid at [log in to unmask] for further=20
details/application form .
=========================================================================
Date: Tue, 25 Oct 2005 15:47:23 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
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Dear Allstaters,
Please find below information on forthcoming RSS Leeds/Bradford
Local Group Meetings. Further details can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Wednesday 16 November, 4pm, Roger Stevens Building LT12,
University of Leeds (tea from 3.30pm on Level 9 of the School of
Mathematics)
Denise Lievesley (Health and Social Care Information Centre, Leeds)
The Role of an International Statistician
Statisticians working internationally, usually employed by
international, supra-national or bilateral agencies, face a range of
problems as they try to `make a difference' to the lives of the poorest
people in the world. One of the most difficult is the dilemma between
open accountability and national sovereignty especial in relation to
performance indicators such as the millennium development goals. This
presentation will raise consciousness of the role of statisticians
employed in the international context, explaining some of the
constraints under which they work, addressing principles which ought to
govern the activities of statisticians generally and evaluating the
relevance of such principles to international statisticians in
particular.
-------------------------------------------------------------------
Leeds/Bradford: Wednesday 30 November, 4pm, Roger Stevens Building LT12,
University of Leeds (tea from 3.30pm on Level 9 of the School of
Mathematics)
David Knapp (University of Leeds)
Life, Statistics and Art
Since ancient times fortune or misfortune has inspired great art.
Commerce and Art shared many techniques during medieval and renaissance
periods. More recently artists derided the ideas from statistical
physics and countered by producing "Art of the Absurd". Some used random
processes to create art. The talk will be about interactions between art
and measurement.
=========================================================================
Date: Tue, 25 Oct 2005 17:07:17 +0100
Reply-To: John Haslett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Haslett <[log in to unmask]>
Subject: Read paper on 23 November: Bayesian Palaeoclimate Reconstruction
Comments: cc: [log in to unmask], Brian Huntley
<[log in to unmask]>, Fraser Mitchell <[log in to unmask]>,
[log in to unmask], [log in to unmask], Alan Gelfand
<[log in to unmask]>
Mime-Version: 1.0
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Dear Allstat
The paper may be found on the RSS web site at www.rss.org.uk/preprints.
'Resources' for the discussion (data and some other things) may be found
at http://www.tcd.ie/Statistics/JHpersonal/RSS%20discussion.htm
Queries and suggestions for the page to Andrew Parnell, please, at
[log in to unmask]
Discussion to the RSS, of course
JH
John Haslett E-mail [log in to unmask]
Professor Phone +353 1 6081114 (direct)
Department of Statistics +353 1 6081767 (sec)
School of Computer Science Fax +353 1 6615046
and Statistics Room 146
Trinity College
Dublin 2,Ireland
WWW: http://www.tcd.ie/Statistics/JHpersonal/research.htm
=========================================================================
Date: Tue, 25 Oct 2005 17:44:18 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: CONTRACT: Statistician
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Statistician
=20
Salary: GBP 45ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: East Anglia=20
=20
Background:=20
=20
Provide statistical advice, analysis and reporting to R&D, Marketing and
Technical Production.=20
=20
Primary Duties:=20
=20
To review specific protocols and to advise on trial design and
statistical aspects of study protocols. Advise on statistical aspects on
product claims and regulatory submissions. Undertake appropriate
statistical analysis and reporting of data from various sources relating
to product support, new product development or regulatory submissions.
Encourage the use of good statistical practice within research and
development by advocating experimental design, appropriate data
analysis, interpretation and presentation of results. Act as a
statistical consultant to scientists advising on experimental design,
statistical analysis and provision of statistical software.=20
=20
Qualifications:=20
=20
A degree or equivalent in statistics or related discipline ideally
supplemented by an MSc or PhD in statistics. Atleast 2 years relevant
industrial/medical experience in a statistical consultancy role.
Familiarity with the use of SAS for statistical and data handling.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
Please reply with an up to date copy of your CV quoting the reference
grv-3955=20
=20
=20
=20
George Vernon
Hobson Prior=20
=20
t: +44 1892 612612=20
f: +44 1892 612613=20
e: [log in to unmask] =20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures
=20
=========================================================================
Date: Tue, 25 Oct 2005 18:07:27 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: NEW JOB : MSc PHd Candidates for prestigious Pharmaceutical Client
am pleased to offer you the following positions at one of our most
prestigious Pharmaceutical Clients who a are looking to take on MSc PhD
Statistics Graduates
Please consider for the following:
They have 79 drugs in the pipeline
They have an extremely strong Oncology ECD and CV area
Biostatistics is considered of utmost importance in the company
The recruitment of quality people is their priority , therefore if you
were considering a job at our client, your colleagues would be excellent
assets
Our client is an excellent location!
They offer a great relocation package and salaries are very good
If you are interested Please attach a copy of your CV and I would be
pleased to call you
Many Thanks Natalie
Statistician:
1. Be responsible for all statistical tasks on the assigned clinical
trials, e.g., clinical trial design/planning, analysis plan, reporting
activities, exploratory analyses and additional analyses to support
publications, and statistical consultation during the running phase.
2. Track clinical trial activities and milestones.
3. Ensure timeliness and adequate quality of all B&SR deliverables for the
assigned trials.
4. Follow processes and adhere to Clients and project specific standards
as well as Health Authority requirements (SOPs, NIPs, Master Analysis
Plan, GCP, and regulatory guidelines).
5. Establish and maintain sound working relationships and effective
communication within the clinical trial team and the B&SR team.
6. Participate in non-clinical project activities as needed.
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
This transmission has been issued by Fforde-Management Ltd for the
information of the addressee only and should not be reproduced and / or
distributed to to any other person. Unless otherwise agreed in writing,
any CV or Candidate details attached hereto must be read in conjunction
with, and are subject to, Fforde-Management's Standard Terms of Business.
Its contents are based on information obtained from sources believed to be
reliable but Fforde-Management makes no representation and accepts no
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Tue, 25 Oct 2005 21:45:39 +0100
Reply-To: "Olhede, Sofia C" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Olhede, Sofia C" <[log in to unmask]>
Subject: SEMINAR
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IMPERIAL COLLEGE LONDON, HUXLEY BUILDING
Please note that the cancelled seminar scheduled for the 28th of October =
has been replaced by:
Minimum variance importance sampling via Population Monte Carlo
Professor Christian P. Robert (CEREMADE, Universite Paris Dauphine & =
CREST-INSEE)
Friday 28 October 2005 3-4 pm
139
Abstract
In the design of efficient simulation algorithms, one is often beset =
with a poor choice of proposal distributions. Although the performances =
of a given kernel can clarify how adequate it is for the problem at =
hand, a permanent on-line modification of kernels raises concerns about =
the validity of the resulting algorithm. While the issue is quite =
complex and most often intractable for MCMC algorithms, the equivalent =
version for importance sampling algorithms can be validated quite =
precisely. We derive sufficient convergence conditions for a wide class =
of population Monte Carlo algorithms and show that Rao--Blackwellized =
versions asymptotically achieve an optimum in terms of a Kullback =
divergence criterion, while more rudimentary versions simply do not
benefit from repeated updating. In particular, since variance reduction =
has always been a central issue in Monte Carlo experiments, we show that =
population Monte Carlo can be used to this effect, in that a mixture of =
importance functions, called a D-kernel, can be iteratively optimised to =
achieve the minimum asymptotic variance for a function of interest among =
all possible mixtures.The implementation of this iterative scheme is =
illustrated for the computation of the price of a Europeanoption in the =
Cox-Ingersoll-Ross model.
=========================================================================
Date: Tue, 25 Oct 2005 17:22:08 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Darryl Bertolucci <[log in to unmask]>
Subject: Sampling
Comments: To:
"-----_Forwarded_by_Darryl_Bertolucci/AWA/FAA_on_10/25/2005_04:43_PM_-----"@faa.gov, Timothy Mak
<[log in to unmask]>,
"10/21/2005_07:26_AM"@faa.gov, [log in to unmask],
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"Summary:_Fitting_models_with_heterogenous_variances"@faa.gov,
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"but_curiously_none_really_solves_my_problem!_Here_I'll_list_them:"@faa.gov, [log in to unmask],
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Carole,
"I have been asked the following question and just can't get my head around
how to answer it, it seems to be in the wrong order to the normal sample
size calculations that I know! We have completed a mailing campaign A - it
gave us a response rate of 10%. We are about to do a mailing campaign B -
we want it to give us a response rate of 15%, but how many people do we
need to mail to ensure that our seen 15% is significantly different from
the 10% seen in mailing campaign A?"
Others may very well be able to answer this. For me, at least, this is akin
to a puzzle in which a few of the key pieces are missing.
for example. How many folks did you sample in A? What does "significantly
differerent" really mean?How do you interpret "we want it to give us a
response rate of 15%"? This, for me, is where the main conundrum lies. Is
this over and above the 10% you got in campaign A? Why not wish for a 100%
response rate....not at all likely, but what one like ideally like....in
any circumstance I've come across?
One can sample a million people and have a response rate from 0 to 100%.
Same for 20 people or a trillion people. The response rate usually depends
on many things: how many other surveys people have been getting in the
mail, the types (sensitivity) of questions, length of survey instrument,
etc. etc. etc factorial. One can choose a sample size to give a certain
power for example, but I'd really like to know how you design a
survey/questionnaire/whatever to get a specific response
rate....especially if it's from a random sample. Is it a SRS? All of this
is apart from whether the proverbial 15% is significantly different than
the 10%.
I fully realize I've just asked a lot of questions and raised a few issues.
Perhaps, my best advice : go back to the client and ask probing questions
to find out exactly what they are asking/wishing in as many specifics as
possible.
If others give you concrete answers, could you let me know. In your
words,"I can't get my head around this either."
Darryl
Darryl Bertolucci
Statistician
Federal Aviation Administration
=========================================================================
Date: Tue, 25 Oct 2005 22:43:58 -0400
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jose Pinheiro <[log in to unmask]>
Subject: Announcement: Stat. Computing 2006 Chambers Award competition
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The Statistical Computing Section of the American Statistical
Association announces the competition for the John M. Chambers
Statistical Software Award. In 1998 the Association for Computing
Machinery presented its Software System Award to John Chambers for the
design and development of S. Dr. Chambers generously donated his
award to the Statistical Computing Section to endow an annual prize
for statistical software written by, or in collaboration with,
a current or recent student. Starting this year, teams of up to 3 people,
including at least one current or recent student, will be allowed to=20
participate in the competition The prize carries with it a cash award=20
of $1000, plus a substantial allowance for travel to the annual Joint=20
Statistical
Meetings where the award will be presented. Enclosed below is the full
text of the award announcement. More details can be found at the Stat.
Computing Section website at http://www.statcomputing.org.=20
Best Regards,
--Jos=E9 Pinheiro
Awards Chair
ASA Statistical Computing Section
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
John M. Chambers Statistical Software Award
Statistical Computing Section
American Statistical Association
The Statistical Computing Section of the American Statistical
Association announces the competition for the John M. Chambers
Statistical Software Award. In 1998 the Association for Computing
Machinery presented its Software System Award to John Chambers for the
design and development of S. Dr. Chambers generously donated his
award to the Statistical Computing Section to endow an annual prize
for statistical software written by, or in collaboration with, an
undergraduate or graduate student. The prize carries with it a cash
award of $1000, plus a substantial allowance for travel to the annual
Joint Statistical Meetings (JSM) where the award will be presented.
Starting this year, teams of up to 3 people will be allowed to
participate in the competition, with the cash award being split among
the team members. The travel allowance will be given to just one
individual in the team, who will be presented the award at JSM.=20
To be eligible, the team must have designed and implemented a piece of
statistical software. The individual within the team indicated to
receive the travel allowance must have begun the development while a
student, and must either currently be a student, or have completed all
requirements for her/his last degree after January 1, 2002. To apply
for the award, teams must provide the following materials:
Current CV's of all team members.
A letter from a faculty mentor at the academic institution of the
individual indicated to receive the travel award. The letter should
confirm that the individual had substantial participation in the
development of the software, certify her/his student status when the
software began to be developed (and either the current student status
or the date of degree completion), and briefly discuss the importance
of the software to statistical practice.
A brief, one to two page description of the software, summarizing what
it does, how it does it, and why it is an important contribution. If
the team member competing for the travel allowance has continued
developing the software after finishing her/his studies, the
description should indicate what was developed when the individual was
a student and what has been added since.
Access to the software by the award committee for their use on inputs
of their choosing. Access to the software can consist of an
executable file, Web-based access, macro code, or other appropriate
form. Access should be accompanied by enough information to allow the
judges to effectively use and evaluate the software. This information
can be provided in a variety of ways, including but not limited to a
user manual (paper or electronic), a paper, a URL, online help to the
system, and source code. In particular, the team must be prepared
to provide complete source code for inspection by the committee if
requested.
All materials must be in English. We prefer that electronic text be
submitted in Postscript or PDF. The entries will be judged on a
variety of dimensions, including the importance and relevance for
statistical practice of the tasks performed by the software, ease of
use, clarity of description, elegance and availability for use by the
statistical community. Preference will be given to those entries that
are grounded in software design rather than calculation. The decision
of the award committee is final.
All application materials must be received by 5:00pm EST, Monday,
February 27, 2006 at the address below. The winner will be announced
in May and the award will be given at the 2006 Joint Statistical
Meetings.
Information on the competition can also be accessed on the website of
the Statistical Computing Section (www.statcomputing.org or see the
ASA website, www.amstat.org for a pointer), including the names and
contributions of previous winners. Inquiries and application
materials should be emailed or mailed to:
Chambers Software Award
c/o Dr. Jos=E9 Pinheiro=20
Biostatistics, Novartis Pharmaceuticals=20
One Health Plaza, Room 419/2115=20
East Hanover, NJ 07936
[log in to unmask]
=========================================================================
Date: Wed, 26 Oct 2005 06:43:58 -0700
Reply-To: Asim Syed <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Asim Syed <[log in to unmask]>
Subject: Determination of Gender differences through varying coefficient
model
MIME-Version: 1.0
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Hi,
I am working on a large data set to determine gender differences in mortality, and am in search of some good model for the purpose.
I have heard that one can use the varying coefficient model for determining gender differences. How to do it ?
Hope to get early responses on the issue.
with best regards
Asim
University of Goettingen, Germany
---------------------------------
Yahoo! FareChase - Search multiple travel sites in one click.
=========================================================================
Date: Wed, 26 Oct 2005 17:03:21 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name <[log in to unmask]>
Subject: Leave Allstat
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Please delete me from list
************************************************************
HSBC Bank plc
Registered Office: 8 Canada Square, London E14 5HQ
Registered in England - Number 14259
Authorised and regulated by the Financial Services Authority
************************************************************
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=========================================================================
Date: Wed, 26 Oct 2005 18:25:12 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Market Research Agency seeks Quantitative Analysts
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Content-Type: text/plain; charset=ISO-8859-1
Dear All,
My client is at the cutting edge of global market research and they are=20
seeking both junior and senior statisticians to join their expanding=20
analytics department. The role function may include conducting or=20
reporting on survey analysis for any number of the companies large=20
clients.=20
You will have a vibrant and enthusiastic personality in order to provide=20
expert consultancy to a number of clients and ensure that appropriate=20
ideas are suggested to them. =20
In order to fulfil the manager level requirements you should be able to=20
demonstrate leadership qualities, have had experience of using a wider=20
range of statistical techniques as well as being able to show client=20
handling capabilities.=20
You will have a degree in statistics and experience of using statistical=20
techniques such as Regression, Segmentation, Correlation and=20
Correspondence Analysis. Excellent training programmes are in place to=20
develop your technical skills and quick career progression is expected for=20
worthy candidates. =20
Commutable from areas such as: Coventry, Warwick, Birmingham, Redditch,=20
Oxford and Leamington=20
Suitability: Job would suit a degree holder in Statistics, Mathematics,=20
Economics or Econometrics with at least a years work experience. =20
Salary: Graduate Level to =A319k / Senior Level to =A330k + Car
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9005/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 26 Oct 2005 18:33:18 +0100
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Senior Consultant
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hi All,
My client a leading insight consultancy is seeking a Senior Statistician=20
to join their expanding team. Company culture is extremely important to=20
this client. Therefore, the role is about more than just your technical=20
skills and capabilities, although these are obviously important. =20
In order to succeed in this company you must have the right personality=20
and attitude. As a senior member of the team you will be expected to lead=20
and inspire your colleagues to come up with inspirational ideas. =20
In your capacity as consultant you will also be expected to demonstrate=20
how to drive forward the company and develop excellent relationships with=20
new clients to bring on new business. You should be creative and motivated=20
and for this you will be rewarded financially.=20
Aside from your personality you should be able to demonstrate your=20
understanding of a range of statistical tools such as Data Mining,=20
Regression, Time Series and Econometric Modelling.=20
Call today for an interview!=20
Commutable from areas such as: Leeds, Bradford, Haworth, Huddersfield=20
Suitability: Job would suit a degree holder in Statistics, Mathematics,=20
Economics or Econometrics with at least a years work experience. =20
Salary: to =A335k plus benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9014/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 26 Oct 2005 10:42:49 -0700
Reply-To: Asim Syed <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Asim Syed <[log in to unmask]>
Subject: Determinants of gender difference in Mortality
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Hi allstat members,
This is in continuation with my previous question.
I have a large data set of about 6428 cases containing information on a large number of continuous and categorical variabels pertaining to mortality and other characteristics of children and corresponding information on various charateristics of their mothers.
The aim is to determine gender differences in mortality and also to determine the important "determinants of gender difference in mortality".
The question is: which model would be most appropriate for the purpose ?
I would like to use a hazard model for the purpose, but how can it tell us about the gender difference, and the determinants of the gender difference ?
As I described in my last e-mail, I have heard that varying coefficient model may be used, but I don't know, how ?
Hope the learned members of "allstat" would help to suggest suitable statistical model.
with regards
Asim Syed
University of Goettingen, Germany
---------------------------------
Yahoo! FareChase - Search multiple travel sites in one click.
=========================================================================
Date: Wed, 26 Oct 2005 19:03:03 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - Statistician
=20
Salary: GBP 45ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
I have an urgent contract for a statistician to offer a top 10
pharmaceutical the expertise on a 3 month rolling contract. The
assignment is to start ASAP with the majority of the work involving the
implementation of Statistical Analysis plans. Candidates require 5+
years experience in clinical statistics being available ASAP.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
grv4190.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 26 Oct 2005 18:35:34 -0400
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Cambridge PostDoc, Sr. Statistician
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
Ph.D., 12+ years of experience: Internet, Finance, fraud detection,
marketing, pattern recognition, data mining. Please check my client and
project listing on my company website (datashaping.com/clients.shtml).
If I am not available, I will post your job or contract offer in my job
e-mail alert (for a fee, to reach 1000+ subscribers). Most of my projects
are performed remotely at competitive rates.
=========================================================================
Date: Thu, 27 Oct 2005 03:27:17 +0000
Reply-To: kuldeep kumar <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: kuldeep kumar <[log in to unmask]>
Subject: Survival analysis
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Dear All
I have some data on bankruptcy. 15 year data on each firm before they became
bankrupt and also successful (surviving) firms. I want to use survival
analysis to predict bankruptcy. I have SPSS software. Can anyone suggest how
to use survival analysis tools?
You can reply me
[log in to unmask]
Thanks.
Kuldeep
=========================================================================
Date: Thu, 27 Oct 2005 08:45:43 +0100
Reply-To: "I. Shah" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "I. Shah" <[log in to unmask]>
Subject: LEAVE ALLSTAT
Mime-Version: 1.0
Content-Type: text/plain; format=flowed; charset=ISO-8859-1
Could you take me off the list
thanks
imran
=========================================================================
Date: Thu, 27 Oct 2005 10:50:06 +0100
Reply-To: "Kirk, Madeline C" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kirk, Madeline C" <[log in to unmask]>
Subject: JOB: RESEARCH ASSOCIATE IN BIOSTATISTICS - Centre for Integrative
Systems Biology at Imperial College
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
RESEARCH ASSOCIATE IN BIOSTATISTICS (Ref: MJ126/05)
Centre for Integrative Systems Biology at Imperial College (CISBIC)
This is an exciting opportunity for an ambitious post-doc with a =
PhD in mathematics, statistics, physics or bioinformatics who is looking =
to develop their career as a biostatistician in the field of Systems =
Biology. The post is linked to a Centre for Integrative Systems Biology =
supported by BBSRC and EPSRC recently created at Imperial. The work will =
involve the development of new statistical procedures in data analysis =
and data fusion and apply these, in close collaboration with =
experimental and modelling groups associated with CISBIC, to a variety =
of systems biology problems in pathogen biology. This will entail the =
development of new methods and software tools that allow the integrative =
analysis of results obtained from different experimental techniques. =
Relevant techniques include - Computational statistics (such MCMC), =
including software development.- Bioinformatics and statistical analysis =
of systems biology data, -New tools for the integrative analysis of =
biological network data.
The aim of the CISB is to exploit the interdisciplinary research =
strengths at Imperial College to create a world-leading Centre that will =
provide a nucleus for promotion of systems biology research across =
Imperial College and the wider academic and industrial community. The =
Centre will include multi-access facilities for high-throughput genome =
technologies and an exemplar programme in the area of innate immunity. =
The centre is currently recruiting researchers with backgrounds in =
biology and in computational science who are interested in working =
together to develop this exciting new area of science.
The research associate in Biostatistics will work with Professor Sylvia =
Richardson ([log in to unmask]) and Dr Michael Stumpf =
([log in to unmask]). Salary =A322,870-=A333,330 inclusive of =
London Allowance. The appointment is for three years.=20
To obtain an application form and further details go to: =
http://www.imperial.ac.uk/employment/index.htm, alternatively write to =
The Recruitment Assistant, HR, Imperial College London, Medical School =
Building, Norfolk Place, London W2 1PG, quoting reference number =
accordingly. DO NOT REPLY TO THIS EMAIL ADDRESS.
=20
Closing date: 21 November 2005.
Valuing diversity and committed to equality of opportunity.
=========================================================================
Date: Thu, 27 Oct 2005 11:02:59 +0100
Reply-To: Brian D M Tom <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Brian D M Tom <[log in to unmask]>
Subject: THIRD ARMITAGE LECTURE and WORKSHOP - Still places available!
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
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Dear Colleague
We still have a few places for our Armitage Lecture and workshop. See=20
below for details of programme and venue. Please contact me at the=20
e-mail address given in the message.
Margaret
-------- Original Message --------
LOUISE RYAN IS TO GIVE OUR THIRD ARMITAGE LECTURE, PRECEDED BY WORKSHOP
THURSDAY 10TH NOVEMBER
Dear Colleague
You are invited to attend our annual lecture and/or workshop. Please see=20
our programme below. There is no cost but if you are planning to come=20
please e-mail me at
[log in to unmask]
indicating whether you will be attending:
the workshop only
the lecture only
both workshop and lecture
Places will be awarded on a first come first served basis.
Margaret Cowling
WORKSHOP:
Evidence Synthesis and Hierarchical Models:
11:30 =96 13:00
An Introduction to the Issues.
David Spiegelhalter, MRC Biostatistics Unit
Case Studies in Genomics and Epidemiology: Bayesian Hierarchical Models=20
for Data Integration.
Sylvia Richardson, Imperial College
13:00-14:00
LUNCH
14:00- 15:00
Challenges in the Synthesis of Gene-Disease Association Studies
Julian Higgins, MRC Biostatistics Unit
Missing Data Mechanisms in Hierarchical Models
Ian White, MRC Biostatistics Unit
To be followed by:
15:00
TEA
15:30 THE THIRD ARMITAGE LECTURE
Synthesising Data from Multiple Sources. Application to methyl mercury=20
and IQ
Louise Ryan, Harvard University
Venue: Max Perutz Lecture Theatre, MRC Laboratory of Molecular Biology,=20
Hills Road, Cambridge, CB2 2QH
(adjacent to Addenbrooke's Hospital)
For directions, please see:
http://www2.mrc-lmb.cam.ac.uk/location.html
Please note that there is no parking on site. You are advised to use=20
Park & Ride at Babraham Road (88) or Trumpington (H1) see
http://www.cambridgeshire.gov.uk/transport/around/park_ride/
for further details.
For those with limited mobility, please contact Margaret Cowling for=20
access details.
--=20
Margaret Cowling
Personal Secretary to
Professor S G Thompson
MRC Biostatistics Unit
Institute of Public Health
Robinson Way
Cambridge
CB2 2SR
Tel: 01223 330366
Fax: 01223 330388
=========================================================================
Date: Thu, 27 Oct 2005 10:55:08 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Caoimhe O Sullivan <[log in to unmask]>
Subject: JOB: Lecturer in Medical Statistics, Imperial College London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Imperial College London
Faculty of Medicine
Division of Epidemiology, Public Health and Primary Care
Department of Primary Care and Social Medicine
Non-Clinical Lecturer in Medical Statistics=20
Salary =A336,200-=A340,430 Inclusive of London Weighting
[log in to unmask]
reference CJ 104 05
Applications are invited for the post of Lecturer in Medical Statistics
within the Department of Primary Care and Social Medicine, one of three
departments in the Epidemiology, Public Health and Primary Care Division of
the Imperial College Faculty of Medicine.
This is a full-time position, subject to probation. The principal purpose of
the post is to sustain and expand the programme of research in the
Department of Primary Care and Social Medicine. The Department has expertise
in the analysis of large primary care databases, other health databases, and
health surveys, and also in research into primary care epidemiology, health
care delivery and chronic disease management. Prior experience in these
areas would therefore be an advantage. This position offers an exciting
opportunity for a committed individual to develop an academic career at one
of the United Kingdom's largest and most prestigious medical schools. The
post will be based at Imperial College's Charing Cross Campus.
Informal enquires welcome. Please contact Professor Azeem Majeed, Head of
Department and Professor of Primary Care=20
(email [log in to unmask], telephone 020-7594-3365/3368).=20
For more information about the Department, please visit
http://www1.imperial.ac.uk/medicine/about/divisions/ephpc/pcsm/default.html
<http://www1.imperial.ac.uk/medicine/about/divisions/ephpc/pcsm/default.html
>=20
<http://www1.imperial.ac.uk/medicine/about/divisions/ephpc/pcsm/default.html
<http://www1.imperial.ac.uk/medicine/about/divisions/ephpc/pcsm/default.html
>=20
>=20
To apply please email your application form, CV and response to the Person
Specification to [log in to unmask] quoting reference CJ 104 05 or
send 8 copies of your application to the Recruitment Assistant, Human
Resources. Faculty of Medicine, Imperial College London, Charing Cross
Campus, Reynolds Building, St Dunstan's Road, London W6 8RP.
Closing date for receipt of completed applications: 21 November 2005
Valuing diversity and committed to equality of opportunity
**********************************************************************
This email is confidential and intended solely for the person or entity to =
whom it is addressed. If this email was not intended for you please notify=
the UCLH Mail Administrator at [log in to unmask]
This footnote confirms that the email and attachments contained no viruses =
when they left UCLH.
=========================================================================
Date: Thu, 27 Oct 2005 12:00:06 +0200
Reply-To: Stefano Sofia <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stefano Sofia <[log in to unmask]>
Subject: Standard Normal Distribution Probability Density Function
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear all,=20
sorry for recalling with words a mathematical function:
given a Standard Normal Distribution N(0, 1), the probability density =
function P(x) is the integral from minus infinity to x of N(0, 1).=20
This integral cannot be solved analitically, numerical tables are =
supplied instead.=20
I need a fortran code to do that, I cannot do it by hand. I looked in =
Numerical Recepies, without success. Could somebody help me in that?=20
Thank you for your attention
Stefano
=========================================================================
Date: Thu, 27 Oct 2005 13:55:52 +0100
Reply-To: Steve Brooks <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Steve Brooks <[log in to unmask]>
Subject: Change of Seminar Time
MIME-Version: 1.0
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Please note that to avoid a local timetable clash, tomorrow's
Statistical Laboratory Seminar will start at 3:30pm followed
by tea at 4:30 and not at 2:00pm as previously advertised.
Apologies for any inconvenience.
*******************************************************************
Statistical Laboratory Seminar Series
Friday 28th October, Meeting Room 12. 3:30pm followed by tea at 4:30pm
Prof. Steve Brooks: Bayesian methods for Population Ecology
The Bayesian revolution has been slow to take off in the
ecological literature, but there are many advantages to adopting
these powerful new statistical methods. In this talk we will
highlight some of the important ecological issues that have been
addressed using Bayesian computational techniques and highlight
the advantages and challenges in using them. The talk will be
illustrated by a number of cases studies incorporating recent and
current research.
--
Steve Brooks
The Statistical Laboratory Tel: +44 (0)1223 766535
CMS Fax: +44 (0)1223 337956
Wilberforce Road
Cambridge
CB3 0WB
=========================================================================
Date: Thu, 27 Oct 2005 14:27:59 +0100
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Contract Statistician X 2-Kent
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
I=20have=202=20brand=20new=20contract=20Stats=20role=20to=20be=20based=20i=
n=20Kent=20to=20start=20in=20November.=20The=20initial=20contract=20is=20f=
or=203=20months=20and=20may=20go=20longer.=20Ideally=20the=20candidates=20=
should=20have=205+=20years=20background=20in=20stats=20and=20the=20writing=
=20of=20Statistical=20Analysis=20Plans=20(SAPs)=20within=20a=20pharma=20en=
vironment.=20
You=20will=20be=20required=20to=20Provide=20statistical=20input=20to=20new=
=20protocols:=20draft=20the=20statistical=20sections.=20=20Review=20the=20=
sections=20on=20study=20design=20and=20description=20of=20clinical=20endpo=
ints.
For=20ongoing=20studies,=20advise=20on=20data=20collection:=20this=20inclu=
des=20review=20of=20the=20proposed=20CRF.
Prepare=20the=20data=20analysis=20for=20the=20clinical=20study=20report:=20=
review=20protocol=20deviations/violations,=20confirm=20the=20validity=20of=
=20the=20original=20statistical=20analysis=20plan,=20program=20and=20condu=
ct=20the=20original=20exploratory=20efficacy=20analysis,=20review=20the=20=
formal=20safety=20and=20efficacy=20tables=20produced=20by=20reporting=20st=
atisticians.
If=20this=20sounds=20like=20the=20kind=20of=20role=20you=20would=20be=20in=
terested=20in=20hearing=20more=20about=20please=20contact=20me=20for=20mor=
e=20details.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com=20<http://www.jamesharvard.com/>=20
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Thu, 27 Oct 2005 14:48:04 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: CONTRACT: 2 x Statisticians - UK based (2/3 days Home based - 2/3
days Office Based)
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstaters,
please find below the latest contract vacancies for you to view;
TITLE: Contract Statistician
ROLE:
1. Provide statistical input to new protocols: draft the statistical
sections. Review the sections on study design and description of clinical
endpoints.
2. For allocated studies, write the draft statistical analysis plan
which should include all relevant information required by the reporting
statisticians and be ICH-compliant. Arrange the project team review of the
plan, collate comments and run the team review meeting.
3. For ongoing studies, advise on data collection: this includes review
of the proposed CRF (Care Review Forms) and CRF completion guidelines.
4. Collaborate with data management to ensure a quality database: by
reviewing the proposed edit checks, identifying any areas where additional
data checks may need to be built into reporting software, advising on
ongoing questions from the sites regarding CRF completion.
5. Assess patient evaluability for study analyses: working with
statistical programmers to define software required to assess which subjects
will be included in the statistical analyses.
6. Prepare the data analysis for the clinical study report: review
protocol deviations/violations, confirm the validity of the original
statistical analysis plan, program and conduct the original exploratory
efficacy analysis, review the formal safety and efficacy tables produced by
reporting statisticians.
7. Write the biometric text: this should include all relevant
information to be included in the clinical study report together with a
detailed description of the statistical methods and a statistical
interpretation of the results.
8. Liaise with writing group during production and review of the
clinical study report.
9. Provide general statistical consultancy support: discussing study
issues with in house clinicians and external experts.
10. Maintain statistical documentation
START DATE: ASAP, but they will wait for notice
CONTRACT LENGTH: 3 months initially
RATE: Dependant on Experience
LOCATION: South East UK
If you are interested in this position or know someone who would, please
contact me ASAP...
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Thu, 27 Oct 2005 16:03:46 +0100
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: PERMANENT VACANCY: Project Statistician - UK based,
Home Counties - Major Pharmaceutical Client
MIME-Version: 1.0
Content-Type: text/plain
Dear allstaters,
please find attached the latest contract vacancy for you to review, please
note: this position is open to application from Statisticians for
pharmaceutical or academia backgrounds;
TITLE: Project Statistician
PURPOSE: To develop protocol designs, clinical plans and data analysis plans
together with internal teams. Work closely with European clinical operations
& clinical development to establish a reporting database and for analysing
medical data.
EXPERIENCE: Essential; demonstrated technical knowledge / application within
a clinical background, experimental / statistics preferably in phase IV
clinical trials / observational research, business process expertise with
critical activities, understanding of Medical / Health Outcomes functional
groups and good SAS programming.
ROLE:
Technical Leadership & Process Improvement
- establish relationships over multiple cultures with Europe
- provide strong technical advice for partners
- research, understand, summarise new analytical techniques
Capacity Management and Project Execution
- delivery of statistical work on time, budget and to quality
standards
- create / maintain project briefs
- progress reporting on assigned studies
Statistical Trial Design and Analysis
- provide input to study protocol, design studies, write protocols /
study descriptors
- select statistical methods for data analysis
- in collaboration plan / implement data QA plans
Therapeutic Area Knowledge
- Understand disease states to enhance business partner focus.
Communication of Results and Inferences
- write reports / communicate results
- Communicate study results via manuscripts / presentations
Regulatory Compliance
- perform work in full compliance
START DATE: ASAP, but they will wait for notice
LOCATION: Home Counties, UK
If you are interested in this position, please contact me for review of the
full specification. If you know of someone to which this is applicable but
may not receive this email, please feel free to forward this email to
relevant persons.
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
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This email is confidential and intended solely for the use of the
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=========================================================================
Date: Thu, 27 Oct 2005 18:18:05 +0100
Reply-To: Peter Donnelly <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Donnelly <[log in to unmask]>
Subject: jobs: postdocs in statistical genetics in Oxford
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
UNIVERSITY OF OXFORD
Mathematical and Physical Sciences Division
DEPARTMENT OF STATISTICS
Postdoctoral Research Assistant(s): 2 Positions:
(1) Statistical Methods for the Analysis of Genome-Wide Association =
Studies (3 years)
(2) Statistical Methods for Geographical Population Structure in Genetic =
Studies (4 years)
Academic-related Research Staff Grade 1A: Salary =A320,044 to =A330,002 =
(bar) per annum
Two fixed-term research positions, both funded by the Wellcome Trust, =
are available to work in the research group of Professor Peter Donnelly, =
on statistical issues in modern genetic studies. The posts would =
commence on January 1, 2006, or at a different time by arrangement. =
Well-qualified successful applicants are likely to be appointed at or =
near the top of the salary scale given above. =20
The first post relates to the development, study, and application of =
novel statistical methods for genome-wide association studies for human =
diseases. Although the focus of the post is on methodological =
development, it is associated with the Wellcome Trust Case Control =
Consortium, a UK-wide collaboration which will perform large genome-wide =
association studies on eight common human diseases, and represents an =
exciting opportunity to be involved in one of the largest studies of its =
type internationally. Professor Donnelly chairs the consortium.
The second post concerns the development of statistical methods for =
inferring geographical population structure on the basis of genetic =
data, and how best to account for structure in genetic association =
studies. Again, the primary focus of the post is methodological, but it =
is associated with a large Wellcome Trust-funded study which will sample =
and genotype around 3,000 individuals to assess UK population structure =
empirically. There will be close involvement with the data generated by =
this project.
For the first post, candidates should have a strong background in modern =
statistics and its application. For the second post, a background in =
either modern statistics or statistical population genetics is =
necessary. Good computational skills are essential for both posts, and =
candidates should have, or expect soon to have, a doctorate. An =
existing background in genetics applications would be an advantage for =
both posts, but candidates wishing to move into the genetics field are =
also welcome to apply. The Department of Statistics in Oxford is one of =
the largest and strongest in the UK, and a world leader in statistical =
genetics.=20
Informal enquiries should be directed to [log in to unmask] =
Further particulars are available from http://www.stats.ox.ac.uk, or the =
address below.
Applications should comprise a curriculum vitae and a list of =
publications together with the names, addresses, telephone, fax and =
e-mail details of three referees. Applicants should make clear for =
which of the posts they are applying, or whether they wish to be =
considered for both posts.
Applications (7 copies, one copy for candidates outside the UK) should =
be submitted to Personnel Administration, Department of Statistics, 1 =
South Parks Road, Oxford, OX1 3TG. Applications faxed to +44 1865 =
272595 or e-mailed to [log in to unmask] are acceptable as long as =
they are followed by hard copy. Please always quote reference number: =
AM-05-012.
The closing date for applications is 8 November, 2005.
=========================================================================
Date: Thu, 27 Oct 2005 18:21:03 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: 2 x CONTRACT - Statistician, working from home
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
2 x CONTRACT - Statistician, working from home
=20
Salary: GBP 45ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
I have an opening for a senior statistician to work for a global
pharmaceutical on a 3 month rolling contract. My client will offer
flexibility to work from home for a proportion of the contract with
start dates proposed ASAP. Candidates require 5+ year's background in
statistics and the writing of Statistical Analysis Plans (SAPs) within a
pharma environment.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4190'.=20
=20
Contact Details
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 27 Oct 2005 17:48:07 -0400
Reply-To: "Crook, Julia E., PhD." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Crook, Julia E., PhD." <[log in to unmask]>
Subject: Biostatistician, Mayo Clinic, Florida, US
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Biostatistician, Mayo Clinic, Florida, US.
Degree requirement: Ph.D. in Statistics or Biostatistics with emphasis in
applied statistics.
The applicant's primary duty will be to collaborate with clinical and basic
science researchers on a wide variety of clinical and basic science research
investigations. Collaborations involve participating in study design and
analysis, manuscript preparation, and presentation of studies. The position
requires outstanding written and oral communication skills, self-direction,
and the ability to direct activities of assigned support staff. Biomedical
consulting experience is a definite plus. Experience with statistical
computer packages including SAS and Splus is desirable. Although the salary
for this position does not require extramural support, demonstrated ability
to obtain funding is a significant strength.
The successful candidate will work within the Biostatistics Unit, with a
charge to provide statistical support for a number of clinical or basic
science research groups. Primary responsibilities of the statistician will
be: 1. Participate in study design and creation of research proposals for
both internal and external funding. 2. Collaborate with medical researchers
in the analysis and presentation of research studies. These include
controlled clinical trials, epidemiologic studies, reviews of patient
series, and laboratory investigations. 3. Conduct and facilitate
biostatistics research in support of the research priorities and the
clinical practice of Mayo Clinic.
The Jacksonville site of the Mayo Clinic in Florida has had an on-site
Biostatistics presence since September 2002. The Biostatistics Unit
currently consists of two statisticians and they are now in need of another
PhD statistician in order to support the continuing growth in research
activity. The members of the Biostatistics Unit maintain close connections
with the members of the much larger Division of Biostatistics at the Mayo
Clinic site in Rochester, MN. They share the same network computer
facilities, are included on email lists, join in on meetings via
teleconference, and can view seminars via videoconference.
Biostatisticians at the Mayo Clinic collaborate with investigators from
almost every medical specialty, with commitments in such diverse areas as
oncology, neuroscience, orthopedics, gastroenterology, transplantation, and
epidemiology. Although not essential, applicants with expertise in one or
more of the following areas would be particularly welcomed: clinical trials,
genetics, microarray analysis.
The Mayo Clinic is a not-for-profit medical institution with a worldwide
reputation for excellence. The Jacksonville site of the Mayo Clinic opened
in 1986 and offers patients access to medical, surgical and research staff
who concentrate on developing thorough knowledge of specific diseases and
treatments. Jacksonville, located in Northeast Florida, has a population of
more than 1,000,000 residents. It is the largest city in the contiguous
United States in land area, a major port, and the insurance and financial
center of Florida. The Mayo Clinic is located to the east of Jacksonville,
approximately five miles from the beach.
For further details of this and other biostatistics positions at the Mayo
Clinic please visit: http://www.mayo.edu/biostatistics.
Please send a letter of application and CV to: Julia E. Crook, Ph.D.
Biostatistics Unit, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL
32224, US. Email: [log in to unmask] Please also arrange for three
letters of recommendation to be sent.
Mayo Clinic is an affirmative action and equal opportunity educator and
employer.
=========================================================================
Date: Fri, 28 Oct 2005 08:48:05 +1000
Reply-To: Vince Matassa <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vince Matassa <[log in to unmask]>
Subject: Re: variance of two overlapping samples
MIME-Version: 1.0
Content-Type: text/plain
Dear All
Can someone direct me to the formulae for the variance of the difference
between two overlapping samples for binomial variables.
Kind regards,
Vince
=========================================================================
Date: Fri, 28 Oct 2005 08:33:23 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job Experienced Clinical Statisticians for the USA
Would you like to develop your career with a pharmaceutical giant ? Our
client is one of the world's top 5 pharmaceutical giants, operating in 140
countries worldwide through 360 independent affiliates, and offering a
wide range of pharmaceutical products and services within the fields of
primary care, oncology, transplantation, ophthalmics and mature products.
In its consumer health division, it deals primarily with OTC drugs, animal
health, medical nutrition, infants and babies. The ethos of the company
is to discover, develop and successfully market disease cures, ease
suffering and improve quality of life worldwide. In 2003, its group sales
increased by 19%.
They are seeking experienced Clinical Statisticians who will be
Responsible for all statistical tasks on the assigned clinical trials,
e.g. clinical trial design/planning, analysis plan, reporting activities
including programming tasks, exploratory analyses and additional analyses
to support publications. Write statistical methodology section of
protocol, statistical section of clinical trial report and review clinical
trial report. Oversee CRO deliverables for trials contracted out.
OUR CLIENT WILL SPONSOR UK/INTERNATIONAL CANDIDATES
Please contact Natalie Fforde for further information
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
=========================================================================
Date: Fri, 28 Oct 2005 08:57:36 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: OPPORTUNITY, Statistician, GlaxoSmithKline
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=========================================================================
Date: Fri, 28 Oct 2005 08:46:02 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job Experienced Clinical SAS Programmers for the USA-East
Coast or Europe!
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Would you like to develop your career with a pharmaceutical giant ? Our=20
client is one of the world's top 5 pharmaceutical giants, operating in 140=20
countries worldwide through 360 independent affiliates, and offering a=20
wide range of pharmaceutical products and services within the fields of=20
primary care, oncology, transplantation, ophthalmics and mature products. =20
In its consumer health division, it deals primarily with OTC drugs, animal=20
health, medical nutrition, infants and babies. The ethos of the company=20
is to discover, develop and successfully market disease cures, ease=20
suffering and improve quality of life worldwide. In 2003, its group sales=20
increased by 19%.=20
Your main responsibilities will be to lead the programming activities for=20
a trial, early phase project, indication, or publication activities; and=20
to lead a complex or large statistical project under supervision of a=20
Program Statistician or Group Head.
You will also be responsible for:
=95 Maintaining efficient relations with internal and external customers=20
with support of SR management and the Program Statistician=20
=95 Developing resource plans with support of the Group Head=20
=95 Developing and complying with Project/study standards and specifications=
=20
following internal guidelines=20
=95 Ensuring documents and specifications are consistent and comply with=20
company standards by providing input into study protocol, CRF and date=20
structures, listings and figures for phase I-IV clinical trials and=20
submissions activities=20
=95 Programming, according to the specifications, analysis datasets, pooled =
datasets, listings, table and figures for phase I-IV clinical trials and=20
for SCS and SCE with high quality and within milestones=20
=95 In conclusion with the Statistician developing specifications for=20
analysis datasets, pooled datasets and listings=20
=95 Supporting quality control and quality audit of deliverables=20
=95 Maintaining records for all assigned projects and archiving of=20
trial/project analysis and associated documentation=20
=95 Participating in the selection of CROs and supervise the SR trial=20
activity of the CROs=20
=95 Inputting on process improvement initiatives and participate in non-
clinical activities
OUR CLIENT WILL SPONSOR UK/INTERNATIONAL CANDIDATES=20
Please contact Natalie Fforde for further information=20
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
=20
www.fforde-management.com
=========================================================================
Date: Fri, 28 Oct 2005 08:53:12 +0100
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job: Manager of Early Clinical Statistical Group-UK or
Mainland Europe
Are you a clinical Statistician with 10+ years experience , frustrated
with the CRO environment or looking for a company that can give you a
career direction into Management?
Call Natalie for more information
Position available in South East UK, USA or Mainland Europe!
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
=========================================================================
Date: Thu, 27 Oct 2005 18:02:20 +0100
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: JOB: Biostatistician in Europe
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Please find attached the latest permanent vacancy for your review;
=20
TITLE: Biostatistician
Department: R&D Biometrics
Reporting to: Biostatistics Manager
Salary: Competitive permanent and contract rates
Start Date: Will allow for 4 week notice periods
DESCRIPTION:
Our client employs over 3,000 people in Europe across sales and =
marketing, Research & Development (R&D) and manufacturing. They now have =
greater coverage of the European market, with 18 Sales and marketing =
Affiliates, six plants and two R&D sites. This European site, through =
its International affiliates, is also responsible for the distribution =
of the company's products in multiple markets in the Middle East, Africa =
and Latin America.
RESPONSIBILITIES:
Reporting to the Manager of Biostatistics, you will provide statistical =
expertise to the clinical development program for assigned projects to =
ensure that scientifically valid conclusions are drawn concerning the =
company's claims with respect to the efficacy and safety of the compound =
under development.
* You will have full responsibility for the statistical aspects of =
assigned clinical development projects, and may assist the Senior =
Biostatistician in more complex projects.=20
Participation in project teams for clinical development programs:
- Contribute to the clinical development plan of the project, under =
guidance of a Senior Biostatistician as required
- Ensure consistency in the entire program for an assigned project in =
terms of key variables, definitions, statistical methods, and =
presentation of results
- Provide considerations of study objectives, designs, methods of =
clinical assessments and endpoints, statistical power, and statistical =
methods for the analysis of clinical data=20
EDUCATION AND EXPERIENCE:
- University degree in Statistics or equivalent
- At least 3 years experience of applying statistical methods in =
pharmaceutical or CRO industry
- Advanced knowledge of SAS programming
- Good knowledge of current company and industry practices related to =
the statistical analysis of clinical data
PROFESSIONAL SKILLS:
- Familiar with complex statistical methods that apply to all phases of =
clinical trials
- Strong SAS programming skills using SAS/base, SAS/stat and SAS/graph, =
SAS/macro and knowledgeable
in Windows-based computer systems and applications.
- Working knowledge of filing regulatory documents and complex =
statistical methods applicable to all phases
of clinical trial conduct.
Please send CV's to Helena at [log in to unmask] or call =
01438 743047 for a confidential discussion.
kind regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
=09
mailto:[log in to unmask]
Please note I work from home on Wednesdays - you can reach me on mobile =
number
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Fri, 28 Oct 2005 10:26:19 +0100
Reply-To: Becky Clarke <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Becky Clarke <[log in to unmask]>
Subject: TRAINING: Policy Evaluation in the Social Sciences
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
The ESRC National Centre for Research Methods (NCRM) is running a two-day
training course on 'Policy Evaluation in the Social Sciences' presented by
Dr Arnaud Chevalier (Kent, CEE, IZA, Geary Institute). The training course
is being held on the 20 =96 21 December 2006 at the School of Geographical
Sciences, University of Bristol.
If you would like to book a place on the course, please see the below link
for further information and a registration form:
www.ncrm.ac.uk/events/20050201/policyevaluationinthesocscifurtherinformation=
.htm
If you have any queries please do not hesitate to contact me.
Regards,
Becky
Becky Clarke
Administrator
ESRC National Centre for Research Methods
Tel: +44 (0)23 8059 4539
Fax: +44 (0)23 8059 8908
=========================================================================
Date: Fri, 28 Oct 2005 10:38:30 +0100
Reply-To: "Copas, Andrew" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Copas, Andrew" <[log in to unmask]>
Subject: JOB: HIV Data Manager & Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
HIV Data Manager & Statistician
=20
We wish to appoint a research assistant to join both the Information =
and
Statistics Teams in this joint academic and clinical department at The
Mortimer Market Centre. The post is based in the Centre for Sexual =
Health
and HIV Research, a multidisciplinary research centre of UCL, but =
involves
close working with the Sexual Health Services of Camden Primary Care =
Trust.
This is one of the largest clinical services in Europe providing
genitourinary medicine (GUM), HIV and contraceptive healthcare. The
successful applicant will work on projects using data collected on a =
large
cohort of patients with HIV disease to address key questions on the use =
of
antiretroviral therapy. The post will provide experience in data entry,
verification and data management using relational databases and data
querying software. The post will also provide experience in statistical
analysis, an opportunity to develop statistical skills, and active
involvement in a wide range of sexual health-related research.
=20
This is a full-time appointment available for one year, which may be
renewable. The appointment will be on the Research Assistant scale RA1B
(=A320,044 - =A322,289 plus =A32,400 London Allowance). However for an =
experienced
and well-qualified candidate an appointment on the Research Fellow =
scale
RA1A may be considered.
=20
For a job description (including the link to download the application =
form)
please e-mail: [log in to unmask]
=20
For an informal discussion about the post, please contact Dr Andrew =
Copas on
Tel: 020 7679 1863, or email: [log in to unmask]
The completed application form and CV should be returned by 5 p.m. =
Thursday,
10th November 2005. We hope to interview the shortlisted candidates on
Monday 21st November.
Dr Andrew Copas
Senior Lecturer in Medical Statistics & Departmental Tutor
Department of Statistical Science & Centre for Sexual Health and HIV
Research
University College London
[log in to unmask] & [log in to unmask]
Tel: 020 7679 1863=20
=========================================================================
Date: Fri, 28 Oct 2005 10:47:28 +0100
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: JOB: Biostatistician - Europe
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Please find attached the latest permanent vacancy for your review;
=20
TITLE: Biostatistician
Department: R&D Biometrics
Reporting to: Biostatistics Manager
Salary: Competitive permanent and contract rates
Start Date: Will allow for 4 week notice periods
DESCRIPTION:
Our client employs over 3,000 people in Europe across sales and =
marketing, Research & Development (R&D) and manufacturing. They now have =
greater coverage of the European market, with 18 Sales and marketing =
Affiliates, six plants and two R&D sites. This European site, through =
its International affiliates, is also responsible for the distribution =
of the company's products in multiple markets in the Middle East, Africa =
and Latin America.
RESPONSIBILITIES:
Reporting to the Manager of Biostatistics, you will provide statistical =
expertise to the clinical development program for assigned projects to =
ensure that scientifically valid conclusions are drawn concerning the =
company's claims with respect to the efficacy and safety of the compound =
under development.
* You will have full responsibility for the statistical aspects of =
assigned clinical development projects, and may assist the Senior =
Biostatistician in more complex projects.=20
Participation in project teams for clinical development programs:
- Contribute to the clinical development plan of the project, under =
guidance of a Senior Biostatistician as required
- Ensure consistency in the entire program for an assigned project in =
terms of key variables, definitions, statistical methods, and =
presentation of results
- Provide considerations of study objectives, designs, methods of =
clinical assessments and endpoints, statistical power, and statistical =
methods for the analysis of clinical data=20
EDUCATION AND EXPERIENCE:
- University degree in Statistics or equivalent
- At least 3 years experience of applying statistical methods in =
pharmaceutical or CRO industry
- Advanced knowledge of SAS programming
- Good knowledge of current company and industry practices related to =
the statistical analysis of clinical data
PROFESSIONAL SKILLS:
- Familiar with complex statistical methods that apply to all phases of =
clinical trials
- Strong SAS programming skills using SAS/base, SAS/stat and SAS/graph, =
SAS/macro and knowledgeable
in Windows-based computer systems and applications.
- Working knowledge of filing regulatory documents and complex =
statistical methods applicable to all phases
of clinical trial conduct.
Please send CV's to Helena at [log in to unmask] or call =
01438 743047 for a confidential discussion.
kind regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please note I work from home on Wednesdays - you can reach me on mobile =
number
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Fri, 28 Oct 2005 12:28:13 +0100
Reply-To: Thierry Chaussalet <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Thierry Chaussalet <[log in to unmask]>
Subject: Patient Safety Risk Management: TUESDAY 22 November 2005,
16:00-18:00 - 115 New Cavendish Street, Room C1.04,
University of Westminster, London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
-----
Operational Research Society
Health and Social Services Special Interest Group meeting*
(Hosted by the University of Westminster Health and Social Care =
Modelling Group)
-----
Patient Safety Risk Management
-----
TUESDAY 22 November 2005, 16:00-18:00
115 New Cavendish Street, Room C1.04, University of Westminster, London
http://www.streetmap.co.uk/streetmap.dll?G2M?X=3D529158&Y=3D181858&A=3DY&=
Z=3D1
-----
Dr Naomi Price-Lloyd, School of Mathematics, Cardiff University, UK=20
"A COMPARISON OF MORTALITY RATES OF MRSA AND MSSA IN AN ICU"
Staphylococcus aureus is a bacterium that lives harmlessly on the skin =
of approximately a third of healthy people. However, it can cause =
disease if it enters the body via cuts, surgical incisions, catheters =
etc. It is thus a growing problem in hospitals, where it can be easily =
transferred from person-to-person. Symptoms range from relatively =
superficial skin/wound infections to pneumonia or blood poisoning which =
may prove fatal, particularly in intensive care patients who are already =
seriously ill. Historically, Staphylococcus aureus infections have been =
treated with antibiotics such as Penicillin, and more recently, =
Methicillin. However, over-prescription and misuse of antibiotics have =
led to increasing bacterial resistance. Methicillin resistant =
Staphylococcus aureus (MRSA) is now endemic in many UK hospitals. It =
must be treated with alternative antibiotics, such as Vancomycin, which =
is notoriously expensive. This study investigates the difference in =
mortality rates of patients with MRSA and the non-resistant strain, =
Methecillin susceptible Staphylococcus aureus (MSSA), in a large =
intensive care unit, using case-matching techniques and logistic =
regression models.
-----
Prof Steve Gallivan, Clinical Operational Research Unit (Director), =
University College London, UK
"AN APPLICATION OF TRIANGLES TO SAFETY RESEARCH"
Many believe that measures which reduce the incidence of 'no harm' or =
'minor' safety incidents also reduce the number of 'major' incidents, a =
view championed by Heinrich who suggested that the ratios of such events =
are relatively constant. A project is discussed initially aimed at =
establishing such ratios for medication errors. The speaker was asked to =
advise on statistics and this resulted in the project taking a radical =
change of direction. A combination of thought experiment and analysis of =
empirical data showed the project aims were not feasible, casting =
considerable doubt on Heinrich's theory.
-----
Dr Robert, C., Lee, Calgary Health Technology Implementation Unit =
(Director), University of Calgary, Canada
"RISK ANALYSIS AND RISK MANAGEMENT IN CANCER THERAPY: IT'S NOT AS SIMPLE =
AS WE FIRST THOUGHT. . ."
Treating cancer with ionizing radiation (radiation therapy) is complex =
and subject to rare but potentially severe adverse incidents; resulting =
in morbidity or mortality to multiple patients, along with subsequent =
litigation and/or criminal action in some cases. Our objective is to =
implement a quantitative risk and decision analysis model, along with an =
incident tracking and learning system, to elucidate risks (i.e. =
probability and consequences of incidents), to inform evidence based =
risk management and resource allocation decisions, and to improve =
quality in radiation therapy. We are working with a team of medical =
physicists, technical staff, and oncologists, and employing several =
linked conceptual and modelling approaches to inform decision-making. I =
will describe the project as a whole; then I will focus on a few =
specific analyses that have been performed to date.
-----
* For more information contact Dr Thierry Chaussalet, Health and Social =
Care Modelling Group (HSCMG), Cavendish School of Computer Science =
(CSCS), Department of Information Systems, 115 New Cavendish St, London; =
Tel: 020 7911 5000; [log in to unmask]
-----
-----------=20
Dr. T.J. Chaussalet
Reader, CSCS
Department of Information Systems
University of Westminster
115 New Cavendish Street
London W1W 6UW
Tel: +44(0)207 911 5000
Email: [log in to unmask]
-----------=20
PLEASE READ: This e-mail and its attachments are intended for the above
named only and may be confidential. If they have come to you in error =
you
must not copy or show them to anyone, nor should you take any action =
based
on them, other than to notify the error by replying to the sender.
Any views expressed in this message are those of the individual sender,
except where the sender specifically states otherwise.
=========================================================================
Date: Fri, 28 Oct 2005 15:03:15 +0100
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar: An optimal stopping problem with applications to the
timing of investment decisions
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; format=flowed
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
An optimal stopping problem with applications to the timing of investment=20
decisions
Mihail Zervos, Kings College, London
Wednesday, 2nd November 2005, 2pm
The Whittaker Room (211)
Abstract:
We consider the discretionary stopping problem that aims at maximising a=20
performance criterion for a general one-dimensional positive It=F4 =
diffusion.=20
This optimal stopping problem has several applications in mathematical=20
finance and economics.
These include the pricing of perpetual American options as well as the=20
optimal timing to invest in a project or capitalising an asset, which are=20
fundamental issues in the theory of real options. We develop a set of=20
sufficient conditions on the problem's data under which this optimal=20
stopping problem admits a solution that conforms with standard financial=20
and economic intuition.
Our analysis leads to results of an explicit analytic nature and is=20
illustrated by a number of special cases that are of interest in=20
applications, and aspects of which have been considered in the literature.=20
In the course of our analysis we also establish a range of results that can =
provide useful tools for developing the solution of other stochastic=20
control problems..
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 28 Oct 2005 16:39:51 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Feedback on html coding for sample mean
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
Dear all stat users
=20
Earlier this month I sent the message below to allstat. I received a var=
iety of replies confirming that there is not a stand alone good html codi=
ng for creating the character for the sample mean which I wished. A big t=
hank you to all who kindly replied.
=20
=20
Most of the suggestions pointed me to extension to html which could not b=
e supported for universal use with my electronic system or were suggestiv=
e of a little overkill for one character. I did try the suggestion made =
under reply 6 but the outcome looked a little out of place in the middle =
of the rest of my text.
=20
In the end I used a simple draw facility to create the 'x-bar' symbol and=
was able to embed it in my text by capturing the image and pointing to i=
t via a URL. This was very easy to do and I was surprised to discover th=
at the resultant character looked very pretty, much better than would hav=
e been possible had I used the Equation Editor in MS Word to create my im=
age.
=20
Necessity is the mother of invention!
=20
=20
=20
=20
Previous request of 13 October
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
=20
I would be most grateful for suggestions on how best to code the conventi=
onal symbol for the sample mean (which I am taking to be a small x with a=
bar immediately above it) in the language of html.
=20
At present, I am using the following approach:
=20
<style type=3D"text/css">
#overline {text-decoration: overline}
</style>
<div id=3Doverline>x,</div>
=20
However, this tends to give a rather make-shift result, as the 'overline'=
tends to sit rather aloof from the x. Moreover, the character is forced =
onto a new line and therefore is not embedded in my sentence as wished. =20
=20
I have consulted several good html books and discovered that whilst listi=
ngs of characters and codes are made for many characters including latin =
letters with circumflexes, the character I am after is not represented.=20
=20
I am learning html almost from scratch and expect that a more experienced=
user could offer some code which has worked for them in the past. =20
=20
An alternative approach would be to capture as an image the result of cre=
ating my desired character using an MS Word equation editor. However, thi=
s seems a little far fetched for just one character.
=20
Thank you in advance for your suggestions.
=20
Best wishes
=20
Margaret
=20
=20
=20
Reply 1
I don't think you can! I'm no expert on HTML either=20
(and if there are any experts out there we'd love to be
put right).
=20
I've looked around a bit. There seems to be a consensus=20
that you can't do much in the way of mathematical=20
notation in standard HTML.
=20
The nearest I've found -- which will only work in special
circumstances -- used a "proposed" extension to HTML called
"MATHML".
=20
The syntax given there was
=20
<MATH><ABOVE>x</ABOVE></MATH>
=20
with the caveat "Unfortunately most of the existing browsers do
not recognize the <MATH> tags, so you just get an x. The same
effect can be achieved in non<MATH> enabled browsers using a
<TABLE> construction; i.e.
=20
<TABLE><TH>_<BR>x</TH></TABLE>
=20
which gives [display of x-bar on a separate line]"
=20
See http://www2.sjsu.edu/faculty/watkins/html.htm
=20
On my browsers (mozilla, firefox) the MATH did not work, and
the TABLE method put the x-bar on a new line, with the bar a
little too far above the x (just as described by Margaret).
=20
I suspect, however, that the Opera browser does recognise MATH.
That's still no good, however, for people who don't use it!
=20
The accented characters which are available in HTML at least
include those given as single entities in standard extended
ASCII character sets, such as iso-8859-1 which I'm using now,
and which your mail reader should render correctly, such as
=20
=E1 =C0 =E5 =E7 =EA =EF =F8 =FC (only a selection) along with some stand=
-alone
accents.
=20
These correspond to single ASCII codes and are not composed as
composite characters. Combinations of letter and accent which
are not amongst those available (e.g. above) in the character
set do not exist in HTML.
=20
So, unless it's already a standard single character, you
cannot get it in HTML. In particular (apart from what may be
possible using <MATH>...</MATH>) you can't instruct HTML to
place an arbitrary mark as an "accent" to some other mark.
=20
So, although the requisite stand-alone accent is available
in the iso-8859-1 set at position 175, the "macron" accent
(=AF), and you can indeed get it displayed in HTML by entering
=20
=AF
=20
in your HTML, you can't as far as I can see instruct HTML
to display an "x" and then put a "=AF" above it.
=20
I agree that using Word + Equation Editor to get a bitmap
that you can import is overkill. And I'm personally no
admirer of the Equation Editor anyway. (Haven't we been
here before, and exactly on the "x-bar" topic? I recall that
pre-MedStats exchanges on this between Martin, John and me
about this were what first got us acquainted!)
=20
Despite all this, I have two practical suggestions.
=20
The first, for something as simple as x-bar, is simply to
write "x-bar". This will be readily understood, especially
if you initially explain that "x-bar stands for an x with a
bar over it; unfortunately this cannot be represented in
HTML so I'll just call it 'x-bar'".
=20
The second is where you have occasion to use more than the
occasional mathematical symbol so that you need the reader
to see proper mathematical notation.
=20
For web purposes, the ideal format for this is PDF. The
PDF display software Acrobat Reader is freely available
for most computer platforms from the Adobe website
=20
http://www.adobe.com
=20
So you just put a link to a PDF file in your web page,
and if the person reading it has installed Acrobat Reader
then they can see it exactly as you intended, and also
print it out. Again, the can download and save the PDF
file, so can readily refer to it later. Nowadays I assume
that nearly everyone has Acrobat Reader available so I have
no qualms about sending them PDF files.
=20
The main issue for this suggestion is creating the file
in PDF format in the first place.
=20
You might use Word (with Equation Editor) to create a Word
document which displays the mathematics more or less as
you want it.
=20
<ASIDE>People who want it really right, however, will use
software intended for formatting to precise typesetting
standards, such as TeX/LaTeX and groff which are both free,
and available for Windows and Unixoid systems, and commercial
products such as McKichan's "Scientific Word", which also
claims to be able to export the results directly to HTML
"with mathematics exported as graphics or as MathML."
=20
For LaTeX and groff too there is the possibility to do it
this way, using embedded graphics for equations (e.g. a
program called LaTeX2HTML, which is another free program).
=20
The advantage of using software which incorporates this
approach is that the user, while preparing the document,
simply types in whatever makes it look right on screen.
Then the ecporting to HTML is a single operation, and the
software takes care of embedding the graphics when required.
=20
However, for the real thing the PDF route is the way to go.
There is no limit to the complexity of what can be represented
in PDF, and no limit to the precision with which it can be
represented. (Whether the software you used to create it can
match this, however, is another question).</ASIDE>
=20
Suppose, then, that you have a suitable Word document.
I've heard (though not experienced) that recent versions of
Word can export to PDF (or there's a converter).
=20
However, if not (or not in your case), then you can print
to file using one of the PostScript printer drivers
(e.g. Apple LaserPlus).
=20
Now you have to convert the PostScript file to PDF. Adobe's
commercial Acrobat Distiller will do this (and is the "industry
standard" since both PostScript and PDF are Adobe's creations).
=20
Free options include ghostscript (whose ps2pdf utility
does the job) and somewhat more refined programs which
are specialised for the job such as Frank Siegert's
PStill.
=20
The resulting PDF file will display the mathematics as
well as (but probably no better than) it appeared in your
original Word document.
=20
Hoping this helps -- and is not too discouraging!
=20
=20
Reply 2
=20
Hi Margaret,
=20
I think you might be unlucky with this one.
=20
Here is an excellent webpage which covers some
html special characters:
=20
http://www.xs4all.nl/~dimaroan/htl/characters.html#symbols
=20
but if you want to generate some for yourself then open my
attachment and click the button. You will find 'mean a' at
number 257 and 'mean c' at 275, etc but only a few letters
are catered for.
=20
I image one could devise a method using DHTML and the
div structure but then it would all get a bit too complicated.
=20
=20
Reply 3
=20
HTML doesn't fit for this :(
The graphics approach (for the whole equation usually) is the best I've=20
used
to get round it, but it's a poor solution.=20
=20
I should look to see if an of the Unicode fonts carry these symbols,=20
but I
haven't yet and not yet worked out how to address them in html
=20
=20
Reply 4
=20
The official list of characters available in html is at:
http://www.w3.org/TR/html4/sgml/entities.html#h-24.3
It seems that overline exists only as an independent character.
=20
A natural solution is unicode which has combining diacriticals:
http://www.unicode.org/charts/PDF/U0300.pdf
=20
Therefore, this should work:
=20
<meta CONTENT=3D"text/html CHARSET=3DUTF-8">
x=DD <!-- should be x overline -->
=20
but I find it is not supported on my browser.
=20
Never use MS Word equation editor. It produces very poor quality=20
typesetting.
If you want to use an image, tex2im produces far better results and is=20
much easier to use:
http://www.nought.de/tex2im.php
=20
Reply 5
=20
I faced the same problem a few years ago when I first began putting toget=
her the on-line stats text
=20
http://faculty.vassar.edu/lowry/webtext.html
=20
After trying every HTML device I could figure out for X-bar, I finally ga=
ve up and simply used Latin letter M -- which for students is probably a =
better mnemonic for Mean than X-bar anyway. For Greek-letter notations I=
resorted to usinng small images of the ones I chiefly needed: lower-cas=
e mu, lower- and upper-case sigma, and lower-case chi. There are other w=
ays of doing Greek-letter notations, though they tended to give different=
results on different platform-browser combinations. The real trick was =
in rendering complex formulaic structures in HTML. I finally figured out=
it could be done via carefully crafted borderless tables. The result is=
a bit clunky, though it gets the job done well enough.
=20
=20
Reply 6
=20
Use <span> instead of <div>. To get the bar from being so high, use =20
a capital X and then reduce the font size.
=20
That would come out to:
=20
>> <style type=3D"text/css">
>> #overline {text-decoration: overline}
>> </style>
>> <span id=3Doverline>x,</span>
=20
=20
Reply 7
=20
Hi,
=20
Probably overkill for that particular query but when I need to write=20
maths
in html, I use a very useful cgi called mimeTeX:
http://www.forkosh.com/mimetex.html
Once installed, you simply write the LaTeX code as you usually would,=20
and
the picture is generated on the fly. You can also leave it in the cache
(better if the page receives a lot of hits).
=20
It's fairly easy to install and doesn't require TeX. Just ask your=20
sysadmin
if you're having difficulties. The page also refers to other solutions.
---------------------------------
To help you stay safe and secure online, we've developed the all new Yaho=
o! Security Centre.
=09
---------------------------------
How much free photo storage do you get? Store your holiday snaps for FREE=
with Yahoo! Photos. Get Yahoo! Photos
=========================================================================
Date: Fri, 28 Oct 2005 16:43:18 +0100
Reply-To: John Mallett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Mallett <[log in to unmask]>
Subject: educational interventions
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear subscribers
I am seeking advice on where to source information (books, papers, =
websites...) on best practice in the planning and conduct of educational =
intervention studies. In particular, I am keen to find out more about =
randomised controlled studies within school settings. =20
I would be really grateful for any pointers.
Dr John Mallett
School of Psychology
University of Ulster
Magee Campus
Northern Ireland
=========================================================================
Date: Fri, 28 Oct 2005 17:26:48 +0100
Reply-To: Margaret MacDougall <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: Conquering t-test and ANOVA-itis
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
I am involved in the teaching of statistics to non-specialists and am concerned about improving practice within the sciences in particular. The problem with which I am confronted is that of non-specialists teaching students to use t-tests and ANOVA (including multiple comparisons tests) to test for a difference or association whilst ignoring the fact that their sample sizes are way too small for this to be sensible.
Clearly, confidence intervals are a good indicator of the lack of validity of any generalizations which are made on the basis of the results obtained. However, I suggest that given the small groups sizes, the scientists need to be pointed towards alternative, albeit more simplistic, approaches to demonstrating the possibility of a difference occurring (in fluorescence intensity, say) across two groups.
I am aware of a few possibilities such as plotting graphs and, where one wishes to compare consistency of measurements across two groups, considering the ratio of the variances. However, with a view to pointing non-specialists to a comprehensive list of good practice, I would be most grateful for any suggestions as to useful examples (found in textbooks but better still, publications) where research objectives have been achieved effectively in the absence of a t-test or an ANOVA, albeit a temptation to use them.
Perhaps also there is a paper on the very subject I am discussing which I could point people to when I feel less inclined to preach a sermon.
I look forward to receiving your replies.
Best wishes
Margaret
---------------------------------
Yahoo! Messenger NEW - crystal clear PC to PC calling worldwide with voicemail
=========================================================================
Date: Fri, 28 Oct 2005 17:26:36 +0100
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - SAS Programmer
=20
Salary: GBP 40 ph=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a SAS Programmer with 3+ years experience of clinical
reporting for a 3 month rolling contract. The chance of extension is
good, interviews and assignment starts will be ASAP, please contact me
for full details of the client and location.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV, quoting the
reference 'grv-4203'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 28 Oct 2005 15:43:58 -0500
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: QUERY: Standard Error for Hazard Ratio in Survival Analysis
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Dear All,
I would like to calculate the standard error (s.e.) for the Hazard
Ratios (HR) involving an interaction term. I have the following model:
HR =3Dexp(b1x+b2y+b3z+b4x*y). All variables being continuous. I would
like to fix x at 1 (i.e. x=3D1) while holding all other variables
constant. That is, HR=3Dexp(b1+b4y). Then calculate HRs at specific
values of y. My problem is calculating the Standard Error for these
hazard ratios so I can calculate the confidence intervals. I know how
to calculate the variance-covariance matrix for the model but I am not
quiet sure how to cal s.e. for the above HRs. Can anyone help?
References to journal article would also be helpful.
Raphael
=========================================================================
Date: Sat, 29 Oct 2005 11:59:26 +0100
Reply-To: Julian Stander <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Julian Stander <[log in to unmask]>
Subject: ANNOUNCE: RSS GAS Meeting on Statistical Issues in Organ
Transplantation, 16th November
I am pleased to announce details of this interesting
meeting, organized by the General Applications Section (GAS) of
the Royal Statistical Society (RSS).
Thank you
Julian Stander
GAS Secretary
[log in to unmask]
----------------------------------------------------------------
RSS GAS MEETING ON STATISTICAL ISSUES IN ORGAN TRANSPLANTATION
Wednesday 16th November, RSS Headquarters, Errol Street, 1400-1700
Meeting organiser: Dr Alan Kimber
Contact details: 0118 378 8030, [log in to unmask]
1400-1410
Introduction
Dave Collett (UK Transplant)
An introduction to the work of UK Transplant, the organisation that
coordinates the matching and allocation of organs for transplantation,
and an outline of some of the statistical applications in this field.
1410-1435
A new UK kidney allocation scheme
Rachel Johnson (UK Transplant)
There are currently over 5000 patients waiting for a kidney transplant in
the UK.
Unfortunately, this figure rises every year as there are too few organ
donors available to enable
these patients to receive the kidney transplant that would transform their
lives.
Decisions have to be made about who should receive the limited number of
organs that become available and these decisions are based on evidence
from
transplant survival analyses and the simulation results of various kidney
allocation algorithms.
These analyses have led to revisions of the national allocation scheme,
improving equity of access to kidney transplantation.
1435-1500
Comparing and monitoring transplant centres: an application of funnel
plots and CUSUM charts
Nokuthaba Sibanda (UK Transplant)
Continued monitoring of health outcomes promotes improvement in the
delivery of healthcare,
thus benefiting the patient and the health service as a whole.
This presentation illustrates the UK Transplant experience in the
application of funnels plots and
CUSUM charts in comparing kidney transplant centres and for the ongoing
monitoring of graft failure and mortality rates.
1500-1535 Tea
1535-1600
Analysis of the potential for organ donation
Claire Hamilton (UK Transplant)
The aim was to determine the potential for solid organ donation in the UK
and discover reasons why potential donors
did not become actual donors. The reasons why relatives refused consent
for donation were investigated,
and the relative refusal rate was analysed in detail to look for
variability in the rate across the country,
over time and for various patient demographics.
1600-1625
Time-dependent effects in Cox survival models of kidney transplants
Jane Hinton (DEFRA)
Within standard survival models it is often assumed that proportional
hazards apply over the survival period.
However, it may be reasonable to expect the impact of explanatory
variables to change
over the time period between the origin and the event.
Here, three approaches (linear, piecewise and exponential) to
incorporating such time-dependent effects into
Cox survival models were employed for the analysis of 11,712 UK adult
cadaveric kidney-only
transplants taking place between 1990 and 1999.
1625-1650
A correlated frailty model applied to some corneal transplant survival data
Alan Kimber (University of Reading)
A correlated frailty model will be discussed and applied to a small
bivariate dataset.
The data are the times to graft rejection of bilateral corneal grafts for
n=119 patients at the Labafinejad Hospital in Iran.
1650-1700
Close of meeting
All timings are approximate
=========================================================================
Date: Sat, 29 Oct 2005 17:45:53 +0200
Reply-To: "BXC (Bendix Carstensen)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "BXC (Bendix Carstensen)" <[log in to unmask]>
Subject: Re: QUERY: Standard Error for Hazard Ratio in Survival Analysis
Comments: To: Raphael Fraser <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
This standard stuff in any course in linar models.
Attend one.
Bendix Carstensen
> -----Original Message-----
> From: A UK-based worldwide e-mail broadcast system mailing=20
> list [mailto:[log in to unmask]] On Behalf Of Raphael Fraser
> Sent: Friday, October 28, 2005 10:44 PM
> To: [log in to unmask]
> Subject: QUERY: Standard Error for Hazard Ratio in Survival Analysis
>=20
>=20
> Dear All,
>=20
> I would like to calculate the standard error (s.e.) for the=20
> Hazard Ratios (HR) involving an interaction term. I have the=20
> following model: HR =3Dexp(b1x+b2y+b3z+b4x*y). All variables=20
> being continuous. I would like to fix x at 1 (i.e. x=3D1) while=20
> holding all other variables constant. That is,=20
> HR=3Dexp(b1+b4y). Then calculate HRs at specific values of y.=20
> My problem is calculating the Standard Error for these hazard=20
> ratios so I can calculate the confidence intervals. I know=20
> how to calculate the variance-covariance matrix for the model=20
> but I am not quiet sure how to cal s.e. for the above HRs.=20
> Can anyone help? References to journal article would also be helpful.
>=20
> Raphael
>=20
=========================================================================
Date: Sat, 29 Oct 2005 15:38:13 -0400
Reply-To: Raphael Fraser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Raphael Fraser <[log in to unmask]>
Subject: Re: QUERY: Standard Error for Hazard Ratio in Survival Analysis
Comments: To: "BXC (Bendix Carstensen)" <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Why don't you suggest a text or an article I could read? Your comment
was not helpful.
On 10/29/05, BXC (Bendix Carstensen) <[log in to unmask]> wrote:
> This standard stuff in any course in linar models.
> Attend one.
>
> Bendix Carstensen
>
> > -----Original Message-----
> > From: A UK-based worldwide e-mail broadcast system mailing
> > list [mailto:[log in to unmask]] On Behalf Of Raphael Fraser
> > Sent: Friday, October 28, 2005 10:44 PM
> > To: [log in to unmask]
> > Subject: QUERY: Standard Error for Hazard Ratio in Survival Analysis
> >
> >
> > Dear All,
> >
> > I would like to calculate the standard error (s.e.) for the
> > Hazard Ratios (HR) involving an interaction term. I have the
> > following model: HR =3Dexp(b1x+b2y+b3z+b4x*y). All variables
> > being continuous. I would like to fix x at 1 (i.e. x=3D1) while
> > holding all other variables constant. That is,
> > HR=3Dexp(b1+b4y). Then calculate HRs at specific values of y.
> > My problem is calculating the Standard Error for these hazard
> > ratios so I can calculate the confidence intervals. I know
> > how to calculate the variance-covariance matrix for the model
> > but I am not quiet sure how to cal s.e. for the above HRs.
> > Can anyone help? References to journal article would also be helpful.
> >
> > Raphael
=========================================================================
Date: Mon, 31 Oct 2005 07:47:32 +0300
Reply-To: "Dr. M. Ghitany" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Dr. M. Ghitany" <[log in to unmask]>
Subject: Confidence interval
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Dear allstaters,
The following is an output of MInitab 14:
-------------------------------------------------------------------------------------
Estimation Method: Maximum Likelihood
Distribution: Exponential
Parameter Estimates
Standard 95.0% Normal CI
Parameter Estimate Error Lower Upper
Mean 39.8889 13.2963 20.7548 76.6630
-------------------------------------------------------------------------------------
Using the classical formula for the 95% C.I. for the population mean:
(39.8889 - 1.96 *13.2963, 39.8889 + 1.96 *13.2963)
I obtain (13.8282, 65.9496). This is completely different from the Minitab
14 output above!
My question is: Which formula for the 95.0% Normal C.I. of the mean is used
by Minitab 14?
Thanks in advance.
M.E. Ghitany
=========================================================================
Date: Mon, 31 Oct 2005 00:18:39 -0800
Reply-To: Omar Farook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Omar Farook <[log in to unmask]>
Subject: subscale and full scale scores
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear Friends.
Good morning.
I hope it was an enjoyable weekend.
when I have been reading some statistical comments I faced the text below.
"subscale and full scale scores"
Kindly if someone have the ability to explain it to me.
Thanks
Omar Farook
[log in to unmask]
---------------------------------
Yahoo! FareChase - Search multiple travel sites in one click.
=========================================================================
Date: Mon, 31 Oct 2005 08:35:54 +0000
Reply-To: David Firth <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Firth <[log in to unmask]>
Subject: JOBs: Warwick University CRiSM, reminder
Mime-Version: 1.0 (Apple Message framework v623)
Content-Transfer-Encoding: 7bit
Content-Type: text/plain; charset=US-ASCII; format=flowed
This is a reminder of the vacancies in the new Centre for Research in
Statistical Methodology at the University of Warwick, UK. The closing
dates are rapidly approaching: Nov 15 for the permanent posts and Nov 1
for the Postdoc!
The newly created Centre for Research in Statistical Methodology
(CRiSM), funded by the UK EPSRC/HEFCE and based in the Department of
Statistics at the University of Warwick, is currently advertising four
new positions in Statistics: One Professorship/Readership
(full/associate prof), two Lectureships (assistant/associate prof) and
one Postdoctoral Fellowship.
The Professorship/Readership and the Lectureships are permanent posts,
funded as research positions for the first five years and continuing as
regular academic positions at the University of Warwick thereafter.
The research fellowship is a 3-year fixed term position. Four further
research fellowships will be made available within CRiSM in the near
future, where we intend to aim for matches with the specific research
interests of the persons appointed to the permanent positions
advertised here.
These posts are open to applicants with research interests in any area
of statistical methodology.
Informal enquires can be addressed to Professors John Copas
([log in to unmask]), Jim Smith ([log in to unmask]), Mark
Steel ([log in to unmask]), or to any other senior member of the
Warwick Statistics department.
Further details about CRiSM and these job vacancies can be found at
http://www.warwick.ac.uk/go/crism/
=========================================================================
Date: Mon, 31 Oct 2005 10:35:56 +0200
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "K.V. Konstantinos" <[log in to unmask]>
Subject: Boxplots
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-7"
Content-Transfer-Encoding: quoted-printable
Hi,
I wonder if anyone can help me.
I am using SPSS to produce a series of boxplots (box and whiskers) in a =
diagram. Is there any easy way to depict the mean value, and not only =
the the median, for each boxplot in the diagramm ?
If not can you suggest another statistical package that can do that sort =
of thing?
Any suggestion will be greatly appreciated.
Thanks,
Konstantinos
=========================================================================
Date: Mon, 31 Oct 2005 08:54:31 -0000
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Cox regression Best Subsets SAS
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
=20
Hello everyone
I would like to ask a query about 'best subsets' in Cox regression.=20
When using best subsets variable selection in *multiple regression* if
we compare models of different sizes we can use the statistics
R-sq(adj), MSE and Cp to determine a 'suitable' model in the statistical
sense.
For *survival modelling* using Cox regression there is an option for
best subsets in SAS.=20
Say we have 12 candidate predictors and we request that three models of
each size should be printed, the package will generate 3 models with 1
predictor, 3 models with 2 predictors, 3 models with 3 predictors etc.
The 'best' model is based on the global chi squared statistic. If two
models have the same number of variables, the best model is the one with
the largest global chi squared statistic.
Now does anyone know how do we choose the 'best' model overall? i.e.
which would be the best model if we have the following output (below)?
The manual is a little vague.
Many thanks,
Kim.
Regression Models Selected by Score Criterion
Number of Score
Variables Chi-Square Variables Included in Model
1 6.4174 pnod
1 5.3917 nodord
1 4.9045 dage40
2 11.2277 difng33 pnod
2 11.0591 pnod dage40
2 10.4046 difng33 nodord
3 15.4714 pnod dage40 cmvpos
3 15.3138 difng33 pnod dage40
3 14.9648 pnod dage40 ftom
4 19.3362 difng33 pnod dage40 cmvpos
4 18.8174 pnod dage40 ftom cmvpos
4 18.6466 difng33 pnod dage40 ftom
5 22.1963 difng33 pnod dage40 ftom cmvpos
5 21.8328 difng33 pnod dage40 ftom tcell
5 21.2103 difng33 nodord dage40 ftom tcell
6 24.1018 difng33 pnod dage40 ftom cmvpos tcell
6 23.6548 difng33 dnod nodord dage40 ftom tcell
6 23.3141 difng33 nodord dage40 ftom cmvpos tcell
7 25.4732 difng33 dnod nodord dage40 ftom cmvpos tcell
7 25.2016 difng33 pnod nodord dage40 ftom cmvpos tcell
7 24.6031 dvdr11 difng33 pnod dage40 ftom cmvpos tcell
8 26.2360 dvdr11 difng33 dnod nodord dage40 ftom cmvpos
tcell
8 26.1088 difng33 pnod dnod nodord dage40 ftom cmvpos tcell
8 25.7520 dvdr11 difng33 pnod nodord dage40 ftom cmvpos
tcell
9 26.8345 dvdr11 difng33 pnod dnod nodord dage40 ftom
cmvpos tcell
9 26.4488 dvdr11 dil6gg difng33 dnod nodord dage40 ftom
cmvpos tcell
9 26.2768 dvdr11 difng33 pat26c dnod nodord dage40 ftom
cmvpos tcell
10 27.0339 dvdr11 dil6gg difng33 pnod dnod nodord dage40
ftom cmvpos tcell
10 26.9042 dvdr11 difng33 pat26c pnod dnod nodord dage40
ftom cmvpos tcell
10 26.8377 dvdr11 difng33 pnod dnod nodord dage40 page35
ftom cmvpos tcell
11 27.1351 dvdr11 dil6gg difng33 pat26c pnod dnod nodord
dage40 ftom cmvpos tcell
11 27.0376 dvdr11 dil6gg difng33 pnod dnod nodord dage40
page35 ftom cmvpos tcell
11 26.9081 dvdr11 difng33 pat26c pnod dnod nodord dage40
page35 ftom cmvpos tcell
12 27.1399 dvdr11 dil6gg difng33 pat26c pnod dnod nodord
dage40 page35 ftom cmvpos tcell
=========================================================================
Date: Mon, 31 Oct 2005 10:09:22 +0100
Reply-To: "Heijden, Gerie van der" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Heijden, Gerie van der" <[log in to unmask]>
Subject: JOBs: full professor Applied Statistics and Applied Mathematics
at Wageningen University (NL)
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Wageningen University and Research Centre (Wageningen UR for short) is
looking for a
* Full professor in Applied Statistics (F/M)
* Full professor in Applied Mathematics (F/M)
Wageningen UR is a leading international knowledge institute in the
fields of nutrition and health, sustainable agricultural
systems, environmental quality and processes of social change. For more
information on Wageningen UR visit www.wur.nl.
The chair group of Applied Statistics and Applied Mathematics both form
part of Biometris (www.biometris.nl), the expertise
centre on quantitative methods within Wageningen UR. Within Biometris
about 35 statisticians and mathematicians are organised in 4 clusters.
Biometris performs applied statistical and mathematical research in
close cooperation with other groups of Wageningen UR. Fields of interest
include:
* Statistical genetics and genomics
* Analysis of large sets of data, e.g. in bioinformatics, image
analysis, ecology, epidemiology, chemometry, monitoring and food safety
* Generalized linear mixed models and experiment design
* Bayesian methods, e.g. for calibration of large models,
determine and improve the quality of models and model uncertainty
* Stochastic models, e.g. geostatistics
* Biology, e.g. mathematical biology or mathematical epidemiology
* Technical/physical aspects, e.g. computational fluid dynamics or
computational chemistry
Further details about Biometris and these job vacancies can be found at:
www.biometris.nl
The official site for the job vacancies of Wageningen is:
http://www.academictransfer.nl/wur/
=========================================================================
Date: Mon, 31 Oct 2005 10:00:56 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: OPPORTUNITY, Statistician, GlaxoSmithKline
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
Statistician,=20
GlaxoSmithKline
Hertfordshire, Southeast England
=20
Minimum Requirements:=20
? A statistics related degree, including subjects such as GLM and=20
statistical inferences=20
Desirable Skills and Experience :
? 6 months or more industrial placement experience in applying statistical =
tools and techniques in a manufacturing environment, e.g. DoE, SPC, GLM=20
and process capability=20
? Experience of working in teams=20
? Experience in using the following software: SAS, SIMCA-P, Statistica=20
Details:=20
We currently have an opportunity for a recent graduate to join our site=20
wide Statistics Team at our New Product and Global Supply site, Ware,=20
Hertfordshire. The purpose of this role is to work within cross-functional =
teams, applying appropriate statistical techniques to the collection,=20
analysis and interpretation of data to enable internal clients to meet=20
business objectives=20
Key Responsibilities:=20
? Providing statistical expertise and troubleshooting support to cross=20
functional, manufacturing and technical teams=20
? Providing statistical expertise to embrace new technologies, such as,=20
Process Analytical Technology (PAT) and implementing knowledge into=20
current working processes=20
? Presenting the data to meet clients specific needs and focus, such as,=20
quality, line performance improvement, cost reduction=20
? Designing experiments, analysing and reporting data to clients=20
requirements effectively and within a timely manner=20
? Ensuring clients are technically supported to achieve their project=20
objectives=20
? Reporting statistical analysis in an appropriate manner to meet clients=20
needs=20
? Contributing to verification processes by evaluating statistical=20
analysis=20
? Supporting the site by providing statistical support in its reporting=20
obligation to regulatory agencies=20
? Partnering with a senior statistician to provide a consulting service=20
for client projects=20
? Developing and maintaining technical knowledge base to ensure success in =
this role and professional development=20
? Providing coaching and guidance on interpretation of data through the=20
use of departmental systems and tools=20
? Communicating statistical information and data effectively to=20
non-statisticians=20
? Ensuring current Good Manufacturing Practice (GMP), Quality Management=20
Systems (QMS) and departmental guidelines are up held throughout working=20
practice.=20
Closing date: 16th November 2005=20
To Apply:
At GlaxoSmithKline we provide a supportive working environment, and a=20
range of development challenges and opportunities. We also offer=20
competitive benefits and compensation packages designed to attract and to=20
retain the very best.
For confidential consideration and efficient processing, please apply=20
online ? providing an indication of basic salary requirements - at:=20
http://careers.peopleclick.com/client=5Fgsk/BU1/External=5FPages=5FUK/newca=
ndidate.asp?Source=3DALL&JobID=3D80197
Please only apply by clicking on this link or by cutting and pasting it=20
into your web browser.
Thank you for taking the time and effort to apply for this role. Please=20
note that we will only contact you again if you are invited to interview.=20
All data processed in accordance with the provisions of the Data=20
Protection Act.=20
GSK is proud to promote an open culture, encouraging people to be=20
themselves and giving their ideas a chance to flourish. GSK is an equal=20
opportunity employer. To enable GSK to meet it's commitment as a two ticks =
employer please let us know if you have a disability.
=========================================================================
Date: Mon, 31 Oct 2005 10:03:48 +0000
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: FINAL REMINDER: SPSS USERS MEETING 2005
MIME-Version: 1.0
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ONE FINAL REMINDER (with apologies for any cross postings):
DEADLINE FOR BOOKING IS THURSDAY 3RD NOVEMBER 2005
ASSESS: SPSS USERS" GROUP, 19th ANNUAL MEETING
FRIDAY 11TH NOVEMBER 2005
ALCUIN RESEARCH RESOURCE CENTRE AUDITORIUM
UNIVERSITY OF YORK, YORK
ASSESS is an independent user group for SPSS, a computer package for analysing
and presenting data. It is run by users, for users and is completely independent
of manufacturers of the software. The meeting is open to all users of SPSS and
to anyone interested in SPSS.
Come along to:
* hear SPSS users talk about applications,the problems and solutions
* hear the latest news from SPSS UK staff about product developments,
and put your questions to them
* question a panel of experts about particular problems
* exchange ideas with other SPSS users
* plan for an even better user group.
The venue is the Alcuin Research Resource Centre (ARRC) on York University campus located in
Heslington, 2 miles to the south-east of the city centre. It takes 10-15 minutes in a
taxi from the railway station. Buses also go to the University
(See http://www.york.gov.uk/roads/bus/). Parking at the University is very difficult. Location
details are at http://www.york.ac.uk/np/maps/. Accommodation is bookable via tourist information on
(01904) 621756 or (01904) 554455.
THE PROVISIONAL PROGRAMME**
* Welcome and introduction to meeting
* SPSS company and product news; SPSS software demonstrations
* Ordered logistic regression Using PLUM
by Venkata Putcha, Thames Cancer Registry
* Issues in using SPSS in an educational research environment
by Ian Schagen, National Foundation for Education Research
* The use of SPSS in Market Research: segmentation and profiling of customers
by Kate Grayson, Statistics by Design
* Common SPSS procedures on health and medical data
by Elizabeth Wiredu, Edgehill College
* Lovely lucid logistics: the analysis and graphic presentation of
effects of nominal and metric variables on binary outcomes
by Diana Kornbrot, University of Hertfordshire
* Users" Question Time and Clinic
* Annual General Meeting of ASSESS.
Registration and coffee will start at 9-45am. Papers and other events will run
from 10.15am to about 5.10pm. Coffee, lunch and afternoon tea are included
in the registration fee. A timetable will be e-mailed to delegates in advance
of the meeting.
______________________
** The titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
ASSESS : SPSS USERS' GROUP
Friday 11th November 2005, ARRC auditorium, University of York
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received. Payment possible by BACS. Details on request.
Name: ______________________________ Tel: ____________________
Email: ______________________________ Fax: ____________________
Job Title: ___________________________________
Organization: ___________________________________
Address: ___________________________________________________
___________________________________________________
_______________________ Postcode _______________
Strike out the sections which do not apply to you, or otherwise amend as
appropriate:
INDIVIDUAL BOOKING. Please reserve a place for me, at a cost of 45 GBP.
CORPORATE BOOKING. (Enter the appropriate amounts)
Please reserve ______ places, at a cost of _____GBP (45 GBP for the first
person and 40 GBP for each subsequent person).
Names of attendees : 1. _______________________________________
(for badges) 2. _______________________________________
3. _______________________________________
4. _______________________________________
5. _______________________________________
STUDENT (POST-GRADUATE) BOOKING. (Enclose photocopied evidence of status
for 2005-2006 academic year). Please reserve for me one of the student
places, at a cost of 25 GBP.
Specify vegetarian or other dietary requirements, if any:
________________________________________________________________
Cheque or official order enclosed for _______GBP
For official orders please also give here the number and address for invoicing:
________________________________________________________________
________________________________________________________________
________________________________________________________________
(Please indicate if you require a receipt of payment)
Return completed forms to: Peter Watson, MRC Cognition and Brain
Sciences Unit, 15 Chaucer Road, Cambridge, CB2 2EF.
Telephone enquiries about bookings: 01223 355294 x801 (has an answerphone)
E-mail enquiries about bookings: [log in to unmask]
(important: put "ASSESS" in the Subject field)
=========================================================================
Date: Mon, 31 Oct 2005 10:07:47 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Statistician / Data Mining Analyst, Glasgow
Mime-Version: 1.0
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Position: Statistician / Data Mining Analyst
>Location: Glasgow-based with requirement to travel
>Web: www.thinkanalytics.com
>
>Position Description
>ThinkAnalytics, a private rapidly growing UK-based company, has an immediate
>opening for a senior statistician / data mining analyst for marketing
>analysis e.g. segmentation, customer profiling, customer churn,
>cross-sell/up-sell, etc based in Glasgow. The successful candidate will
>conduct data mining analyses, build predictive models, and deliver
>customer-focussed presentations on the results.
>
>The role requires the candidate to lead data mining analysis, develop and
>nurture client relationships and apply statistical analysis in a variety of
>client projects. It is also important to communicate the results of complex
>analysis in a clear and concise way, explaining complex issues in everyday
>terms.
>
>The successful applicant will be confident handling large amounts of data
>and will ideally have a background in SAS/SPSS programming, data mining, and
>statistics. This position requires interaction with the company's Product
>Management, Development, Professional Services, Operations, and Sales
>groups, in addition to client presentations, therefore strong verbal and
>written communication skills are a must. The position is based in Glasgow
>and travel will also be required to a variety of UK, European, North
>American and worldwide locations.
>
>This is an excellent opportunity for an ambitious individual to have a
>rewarding and challenging career in a fast growing organisation.
>
>Requirements (Experience / Skills)
>
>- Degree in Maths/Statistics
>- Strong experience in statistics packages (e.g. SAS, SPSS, Matlab, R,
>S-Plus)
>- Experience working with large data sets
>- SQL skills, e.g. Oracle, DB2, SQL Server, Teradata.
>- 4+ years of relevant work experience
>- Experience with commercial consulting
>- The ability to take initiative and work autonomously while at the same
>time contributing to team objectives
>- Strong written and verbal communication skills
>
>ThinkAnalytics is an Equal Opportunity Employer.
=========================================================================
Date: Mon, 31 Oct 2005 10:37:18 +0000
Reply-To: David Clayton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Clayton <[log in to unmask]>
Subject: JOB: Statistician and Bioinformatician,
Copy Number Variation and Disease Copy Number Variation and
Disease
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Now is an extremely exciting time for the study of human genetic=20
variation. The Wellcome Trust Sanger Institute (WTSI) is a world leader=20
in human genomics and genome informatics. We are consolidating and=20
expanding an ambitious programme of research characterising Copy Number=20
Variation in the human genome (Conrad et al., Nature Genetics, in=20
press) and integrating this knowledge into disease association studies.=20
This programme combines large-scale experimental data generation, on a=20
variety of platforms, with sophisticated data analyses.
Statistician/Mathematical Biologist Ref NA1028
In collaboration with David Clayton at the Juvenile Diabetes Research=20
Foundation/Wellcome Trust Diabetes and Inflammation Laboratory in=20
Cambridge, we are seeking a highly talented and motivated post-doctoral=20
researcher with a background in Mathematical Biology or Statistics who=20
may have a proven track record or who has demonstrated exceptional=20
potential during a recently-completed PhD. A biological background is=20
not strictly necessary. Experience with change-point models or=20
analysing microarray data would be an advantage. The successful=20
applicant will be involved in the design and analysis of genetic and=20
functional studies of copy number variation, including the development=20
of novel algorithms for identifying copy number variation from=20
microarray data and assessing its functional role via association=20
studies.
Bioinformatician Ref NA1029
We are seeking a keen and able bioinformatician or computer=20
scientistwith a strong desire to work in a cross-disciplinary=20
laboratory environment.The ideal applicant would havestrong Unix/Linux=20
skills, demonstrable experience with an object oriented programming=20
language (such as OO Perl or Java), relational databases and knowledge=20
of biological analysis pipelines.A degree or a strong interest in=20
thelife sciences is highly desirable. The position offers experience in=20
working with a diverse range of bioinformatic systems and datasets and,=20
as such, would suit a candidate seeking broad experience and the=20
opportunity to develop a varied set of professional skills.
Informal enquiries for both positions to Matthew Hurles=20
([log in to unmask]) and Nigel Carter ([log in to unmask]).
Both posts are available for 3 years in the first instance. Benefits=20
include 25 days annual leave, final salary pension scheme, optional=20
private healthcare (on successful completion of probation period),=20
permanent disability insurance, life assurance, childcare voucher=20
scheme, on-site restaurant, caf=E9, gym and an active sports and social=20
scene.=20
To apply for this position please email your CV (including 2 referees)=20
and current salary details, Quoting the appropriate reference to:=20
[log in to unmask]
Or post your application to: Human Resources Department, The Wellcome=20
Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, CB10 1SA
The closing date for applications is 18th November 2005
www.sanger.ac.uk
=========================================================================
Date: Mon, 31 Oct 2005 14:59:38 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job:Full time faculty position, Institut de statistique
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Full time faculty position
Institut de statistique
Director : Professor Jean-Marie Rolin, Voie du Roman Pays 20,=20
B-1348 Louvain-la-Neuve (Belgium)
Field : Statistics
Ref. : STAT / 2006 / 992
(to be quoted in all correspondence)
=B7 Profile :
The position is open for tenure-track or tenured at any level. The=20
successful candidate will be involved in research and teaching activities=20
within the Institute of Statistics. The Institute wants to strengthen its=20
position in theoretical and applied statistics. To this end, the Institute=
=20
is seeking for either a strong candidate in one of the fields of=20
biostatistics, technometrics or alike or for a strong researcher in any of=
=20
the existing fields of the Institute. Candidates with experience in either=
=20
direction are very welcome to apply. She/he will teach theoretical or=20
applied courses, introductory and advanced. She/he will take part in the=20
research activities organised by the Institute (doctoral thesis, seminars,=
=20
workshops, =85) as well as in the service activities (consultancy,=
continuing=20
education, =85).
=B7 Special qualifications (other than those listed in the general=
=20
conditions below) :
=B7 Starting date : 1st September, 2006
=B7 Further information :
Professor J.M. ROLIN =96 e-mail=20
: <mailto:[log in to unmask]>[log in to unmask] =96 T=E9l. : 32 (10)=
47=20
43 33 =96 Fax : 32 (10) 47 30 32
<http://www.stat.ucl.ac.be/>http://www.stat.ucl.ac.be
General conditions
Tasks : The applicant will
- be responsible for teaching courses at the three study levels=20
(i.e. undergraduate, graduate and postgraduate), as well as in programmes=20
of continuing education;
- supervise the final diploma work (i.e. master thesis) of graduate=
=20
students, as well as PhD theses;
- be involved in (and/or supervise, promote) research programmes.
Qualifications: the applicant will have
- a PhD degree in (one of the fields of) statistics.;
- a significant scientific record proved by international=
publications ;
- either studied abroad for an extensive period or had substantial=20
experience outside UCL ;
- experience in and aptitude for teaching at university level ;
- the capacities required to undertake academic research at a high=20
level and to advise, or lead, a research team ;
- a good knowledge of both spoken and written French. If this is not=
=20
the case, the university is willing to support the applicant to learn=20
French and the applicant should be fluent in this language within a=20
year. Fluency in English and other languages is an additional advantage.
Applications will contain the following documents:
- the completed basic form (attached)
- a full curriculum vitae
- a bibliography and abstracts of the more important publications
- a copy of the diploma of the final degree
- a text of about 3500 characters describing the research project=20
which the applicant wishes to carry out
- a text of about 3500 characters explaining the applicant's views=20
on teaching and the type of education that should be promoted.
- in addition, three letters of recommendation from internationally=
=20
renowned scientists, non-UCL members, should be sent to the Rectorate of=20
the UCL, before the final date for submitting applications.
Applications and letters of recommendation must be postmarked no later than=
=20
midnight January 6th , 2006
to the Rectorate of the UCL, c/o Mrs Marcq, Place de l=92Universit=E9 1 =96=
=20
C.528, B-1348 LOUVAIN-LA-NEUVE (Belgium)
Any additional information can be obtained from the contact persons, or by=
=20
the Rectorate :
Tel. : +32 10 47 88 01 =96 email :=20
<mailto:[log in to unmask]>[log in to unmask]
Note :
- In accordance with the policy of the European Union in this=20
regard, the Universit=E9 catholique de Louvain wishes to state :
- that it will scrupulously avoid any form of discrimination,=20
whether during the recruitment process or in any review of positions within=
=20
its services ;
- that it applies a policy of equal opportunity employment and=20
strongly encourages applications from women ;
- that it applies a policy of non-discrimination with regard to=20
people with disabilities.
=========================================================================
Date: Mon, 31 Oct 2005 14:57:03 +0000
Reply-To: Jenny Dixon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jenny Dixon <[log in to unmask]>
Subject: JOBS: Statisticians
Due to company expansion, applications are invited for positions for
applied statisticians, programmers (in Splus, R and C) and technical
support. There are both senior and junior full-time vacancies working as
part of a team in the area of sports and betting.
The positions, with flexible start dates from February 2006 onwards, are
within a successful statistics consultancy based in Exeter, UK.
For further details, please e-mail Jenny at [log in to unmask]
=========================================================================
Date: Tue, 1 Nov 2005 15:23:09 +0000
Reply-To: Kevan Nicholson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevan Nicholson <[log in to unmask]>
Subject: *******JOB OPPORTUNITY************
Job Summary:
This is an outstanding opportunity to join an expanding and global CRO and
become part of a leading, therapeutically focused team
Requirements:
INC Research is a specialised Contract Research Organisation (CRO) with a
long-standing history of therapeutic specialty and technological
innovation. At INC Data Spectrum we offer our customers innovative data
management solutions. We provide a full range of data management,
statistical and medical writing services to meet global drug development
needs. Due to our recent expansion we are looking for a Biostatistician to
join our European team.
The Biostatistician is responsible for working independently on clinical
trial projects sponsored by pharmaceutical, biotechnology, or medical
device companies. Explains, interprets and applies statistical procedures
for design and analysis of clinical trials, Integrated Summary of Safety
(ISS), and Integrated Summary of Efficacy (ISE). Works closely with
project managers and clinical database managers and participates as a
project team member.
Requirements are an M.S. or Ph.D. in Biostatistics or closely related
discipline.Candidates with M.S. qualification must have at least 4 years of
relevant biotechnology or pharmaceutical clinical trial experience.
Candidates with a Ph.D. qualification must have at least 2 years of
relevant biotechnology or pharmaceutical clinical trial experience.
Requires extensive use of independent judgment. Strong SAS programming
skills and experience in UNIX and personal computer environment and the
ability to handle multiple tasks to meet deadlines in a dynamic environment
are essential. Requires strong organizational, presentation, documentation
and interpersonal skills as well as a team-oriented approach.
INC Research employees are provided with the most advanced technology to
perform their jobs. Our compensation package is competitve and all
employees receive regular feedback on performance and solid support from
senior management in meeting or exceeding clearly established corporate
objectives as well as customer objectives.
For immediate consideration, please email your Curriculum Vitae to
[log in to unmask]
To learn more about INC Research visit www.INCResearch.com
=========================================================================
Date: Tue, 1 Nov 2005 09:54:06 -0500
Reply-To: alan tennant <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: alan tennant <[log in to unmask]>
Subject: Workshops on Rasch Analysis
Comments: To: Rehab list <[log in to unmask]>,
OMERACT <[log in to unmask]>
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
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Psychometric Laboratory for Health Sciences. =
The University of Leeds. UK.
Introduction to Rasch Analysis
A workshop to introduce Rasch analysis. It will suit those working in the=
measurement of outcomes in the health sciences, of attitudinal data in th=
e
social sciences, or in educational testing. It will take the form of
hands-on tuition in using the Rasch Unidimensional Measurement Models
(RUMM2020) software package. At the end of the two-and-a-half days worksh=
op
students should understand and be able to analyse data, using RUMM2020,
for:
" Internal construct validity (Unidimensionality);
" Category probability patterns for polytomous items;
" Differential Item Functioning;
" Scaling Characteristics.
Dates: 14th-16th December 2005; 8th-10th March 2006; 17th -19th May 2006=
;
13th-15th September 2006; 13th-15th December 2006.
=
Intermediate Rasch analysis.
This workshop will look at more advance topics using the RUMM2020 softwar=
e,
and will include issues of pooling data from international studies, linki=
ng
scales and writing a Rasch paper. Students should have completed the
introductory course, or have experience with RUMM software.
At the end of this workshop, students should be able to:
" Adjust estimates of patient ability (or trait) for cross-cultural=
differences in outcome measures (to facilitate pooled data in internation=
al
studies).
" Conduct multi-faceted Rasch analysis =
" A brief comparison with WINSTEPS software
" Write a good Rasch paper. =
Dates: 19th-21st December 2005; 22nd-24th May 2006; 18th-20th September
2006.
Advanced Issues Workshop.
This workshop will concentrate on introducing substantive methodological
issues using a range of software, and will include simulation of data, =
issues in developing item banks, Computer Adaptive Testing and the
exploration of alternative approaches, e.g. unfolding models. The approac=
h
taken with be that of working in groups to solve measurement issues. =
At the end of this workshop, students should be able to:
" Simulate data to meet the requirements of different types of Item=
response Theory Models.
" Establish an item bank =
" Use the item bank to inform and use Computer Adaptive Testing
software. Currently we use FastTEST pro. =
" Understand the potential for unfolding models and use the Ratefol=
d
Software. =
Dates: 25th-26th May 2006; 21st-22nd September 2006.
Advanced Workshop (2) on Dimensionality.
This workshop will build on the previous advanced workshop and will use t=
he
simulation of data to address problems associated with multidimensionalit=
y
in data. Participants will work on a common problem with the intention o=
f
comparing and contrasting traditional test theory approaches with modern
test theory approaches based on the Rasch model. =
At the end of this workshop, students should be able to:
" Simulate data to address dimensionality issues
" Undertake and interpret traditional approaches to dimensionality.=
" Produce comparative analysis from both RUMM2020 and WINSTEPS =
" Write a collective group paper on the substantive topic given for=
the workshop. =
Dates 25th-27th September 2006.
For further details and registration contact [log in to unmask]
Further details, including costs, can be found at:
http://home.btconnect.com/Psylab_at_Leeds/
=========================================================================
Date: Tue, 1 Nov 2005 17:53:01 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Insight Analyst for Leading Consumer
MIME-Version: 1.0
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Content-Type: text/plain; charset=ISO-8859-1
Hello All,
Working for one of the country=92s leading consumer companies you will be=20
responsible for the insight and analysis of their customer data. Functions=20
of the role may include the generation of reports to show trading=20
performance or forecasting and predicting future trading patterns.=20
The role may also involve some GIS related techniques when assessing where=20
future trading may take place. Knowledge of Statistical Techniques such as=20
Clustering Analysis, Regression Analysis and Segmentation Analysis along=20
with experience using Statistical Packages such as SAS, SPSS, S+ would be=20
of great interest.=20
You will have strong academic qualifications typified by an A in=20
Mathematics and at least 2 other good A Levels followed by a degree in a=20
numerate subject grade 2:1 or above. Ideally this should be backed up with=20
work experience either in a strong OR group in the public sector, a=20
management consultancy, or work in an analytical role in a Retail or other=20
Blue chip company.
Location: Greater London
Salary: Negotiable up to c.35K + Excellent Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9025/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 2 Nov 2005 09:13:32 +0000
Reply-To: Greg Phillpotts <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Greg Phillpotts <[log in to unmask]>
Subject: Re: How should we present statistics?
Comments: To: [log in to unmask]
MIME-Version: 1.0
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John/ colleagues everywhere
Very interesting to me for the last 30+ years! Quite a lot of material and
the problem is what to choose. Thanks for your own contribution.
I would commend "Plain Figures" (2nd ed. published 1996 by The Stationery
Office ISBN 0-11-702039-7). It includes references to quite a lot of the
main research work as well as other guidance. Much of the guidance in my
view works for screens as well as paper (but see below). I organised a
discussion meeting at the Royal Statistical Society back in the 1990s to
share it, so have a bias.
The big gap to my mind is the research work that is needed for presentation
on a screen and using the features of the web. I see lots of fads but I
don't see a picture emerging of the evidence for particular modes.
For official statistics web sites, you might be interested by my colleague
Ed Swires-Hennessy's commentaries and principles at
http://www.surfingwithed.org.uk/
There is a UK National Statistics protocol on Data Presentation etc which
covers some of the principles as you have. But it's oriented to official
statistics again and doesn't go into more detail, which is left to more
detailed guidance. Protocol is at
http://www.statistics.gov.uk/about_ns/cop/downloads/datapresentation.pdf
Interested to see suggestions and comments from others. I am posting this
on Allstat also to see if there's interest there - but that doesn't have
email discussion like Radstats.
best wishes
Greg
Greg Phillpotts
Regional and Local statistics
Office for National Statistics
1 Drummond Gate, LONDON SW1V 2QQ
tel 020 7533 5480
Date: Tue, 1 Nov 2005 14:17:55 +0000
From: John Maslen <[log in to unmask]>
Subject: How should we present statistics?
In line with a forthcoming seminar run by the Association of Regional
Observatories entitled "Developing best practice in presenting statistics"
(programme soon to be published at
www.regionalobservatories.org.uk/aro_events.html) I wondered whether the
group is aware of any research and key publications in this area?
Obviously
it is a high profile subject that hits the headlines in relation to public
health, school league tables etc etc.
My relatively limited trawl has not picked up much. I am one of the many
fans of Edward Tufte's publications and there's some relevant stuff on his
discussion board such as:
http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=00009X&topic_id=1&topic=Ask+E%2eT%2e
I may be trying to simplify things too much but how about coming up with a
set of 10(+) Commandments For Presenting Statistics - these could be split
into what I like to think are 3 semi-distinct user groups:-
(1) Expert Professionals (Researchers, senior analysts, statisticians)
(2) Regular Users (Policy advisors, some managers, technicians)
(3) Informal Users (citizens, members of community groups/voluntary
organisations etc)
This relates to other published papers by this group which introduced
'barefoot statisticians' and 'parastatisticians' and the need to educate
citizens and members of organisations so they can make informed decisions
about the statistics they are presented with.
To get the ball rolling here's a few I made-up earlier (which are biased to
web-based publishing I'm afraid):-
(1) Understanding your audience, what they want to know, and what decisions
they are likely to want to take is fundamental. It is not always easy!
(2) Publishing on the Internet is a major challenge given the uncontrolled
nature of the potential audience. In some cases, for example a more
generic
report for Internet publication, some descriptive text on who the intended
audience is likely to be can help, especially if this can be picked up in
search results. There is not always scope for tailoring outputs to all the
different audiences. This limitation should be recognised and, where
possible, some measures adopted to provide different types of user with
different 'channels' to information.
(3) Use presentation techniques for your statistics that are appropriate to
your data (obvious but needs to be stated) - visual techniques can be
excellent although novice users may still prefer to read a text-based
synopsis.
(4) Use presentational techniques that are appropriate to the medium which
you are using - for example don't automatically replicate a hardcopy output
for web distribution if you can bring new insights and understanding
through
adoption of web browser-based technologies (using user-click interactivity
for example).
(5) If publishing on the Internet, especially when targeting more novice
users, it can be more effective to present statistics in a controlled
manner
that includes some form of neutral interpretation of specific 'data views'.
(6) If publishing on the Internet be aware of usability and accessibility
issues and ensure you provide at least one 'accessible' channel to your
data.
(7) Always use metadata to qualify your statistics and the way you present
them. This should be at multiple levels from the dataset as a whole down
to
individual records if necessary. It should also include metadata on how
you present them if appropriate.
(8) Metadata should not be 'hidden' from the user as a secondary priority -
data users need to be encouraged as much as possible to understand the
strength and weaknesses of the data. As such it should be relatively
explicit.
(9) Metadata needs to be appropriate to the type of user - too often it is
riddled with jargon that is only understandable to a data expert. Where
possible adopt a recognised metadata standard as a basis for managing
metadata behind-the-scenes and tailor this information to the audience.
(10) Try to adopt recognised metadata standards like Dublin Core, DDE and
SDMX - be aware that standards do overlap/compete and generally evolve.
Please throw any of these out and/or add your own! Perhaps you have some
examples you could share that you regard as good practice? Are the
mainstream press consistently poor in making these judgements? Should we
ever be even attempting to publish complex raw statistics to a largely
unknown, relatively novice audience - do they just need interpreted
reports?
If you're interested in the ARO seminar you can register now at
www.aro-stats-seminar.org.uk.
Thanks a lot all. It's my first post so I hope this is a topic that is of
interest to the group.
John
GeoWise
For the latest data on the economy and society consult National Statistics at http://www.statistics.gov.uk
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Date: Wed, 2 Nov 2005 09:13:24 +0000
Reply-To: Doug Altman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Doug Altman <[log in to unmask]>
Subject: JOB: Senior Project Manager, Oxford
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
Centre for Statistics in Medicine, Oxford
Senior Project Manager
Salary =A326,948 - =A335,527
12 months fixed term
The Centre for Statistics in Medicine is seeking a Senior Project Manager=20
for a newly funded 12 month development project relating to enhancing the=20
quality of reporting of medical research: =93Maximising the impact of=20
reporting guidelines on the quality of research-based knowledge=94. This is=
=20
an important project, commissioned by the National Knowledge Service (a=20
part of =91Connecting for Health=92), the success of which will depend on=20
securing the collaboration and support of an international community of=20
scientists and journal editors.
The project aims to establish an international network of representatives=20
of groups developing reporting guidelines for different types of research=20
(e.g. CONSORT). The postholder will take a leading role in organising two=20
international workshops, co-ordinate the development of reports from expert=
=20
working groups, and prepare final versions for publication and=
dissemination.
The postholder will need to have understanding and experience of issues=20
relating to research quality, well-developed skills in project and research=
=20
management and networking, and experience of drafting technical reports or=
=20
scientific papers for publication. Experience of medical research would be=
=20
desirable. Good organisational and communication skills, and the ability to=
=20
secure co-operation of senior scientists through persuasion and=20
negotiation, are essential. The post could be suitable for someone wishing=
=20
to spend a year in Oxford on secondment.
The postholder will be based at the Centre for Statistics in Medicine at=20
Wolfson College in North Oxford. Ideal applicants will have a quantitative=
=20
or health science postgraduate degree, practical experience of completing=20
research projects, experience of critical appraisal and database=20
management, familiarity with trial design and systematic reviews, and=20
excellent communication and organisational skills.
The appointment will be for 12 months.
Informal enquiries can be addressed to Doug Altman=20
([log in to unmask]).
Further details and application procedure are available at=20
<http://www.oxfordradcliffejobs.nhs.uk/>www.oxfordradcliffejobs.nhs.uk
Vacancy Reference D/ACT/142
The closing date for applications is Friday 18th November 2005.
We anticipate interviews will take place on Friday 25th November 2005.
_____________________________________________________
Doug Altman
Professor of Statistics in Medicine
Centre for Statistics in Medicine
Wolfson College Annexe
Linton Road
Oxford OX2 6UD
email: [log in to unmask]
Tel: 01865 284400 (direct line 01865 284401)
Fax: 01865 284424
Web: http://www.csm-oxford.org.uk/
=========================================================================
Date: Wed, 2 Nov 2005 10:29:33 +0000
Reply-To: Esoult Hanratty <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Esoult Hanratty <[log in to unmask]>
Subject: quintile analysis
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Hi,
I am comparing a group of cases and controls, the variable of interest is
distributed quite differently in the two groups. I have done a
non-parametric test which shows no difference between the two groups, I was
wondering if it was possible to do a test to compare the quintiles?
Thanks,
Lois
_________________________________________________________________
Find Irish information fast with MSN Search Ireland! http://search.msn.ie
=========================================================================
Date: Wed, 2 Nov 2005 11:26:06 +0000
Reply-To: Peter Green <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Green <[log in to unmask]>
Subject: FUNDING: new EPSRC call
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Message posted on behalf of Anne Farrow, EPSRC.
(Enquiries to EPSRC, please, not me.)
The Mathematical Sciences Programmes are offering Statistical Mobility
Fellowships to enable researchers without a permanent position and from
a non-statistics background to move into statistics within 10 years of
completing their PhD. Each fellowship is to be linked to a statistics
mentor who will be responsible for ensuring that the fellow will acquire
the necessary statistical expertise and who will advise the fellow on
the research project associated with the fellowship. The fellowship
will be for 3 years with the expectation that in the first year the
fellow will familiarise him/herself with the necessary statistical
training while the second and third year will be spent carrying out
research involving substantial innovation in *statistical theory or
methodology*.
Full details at:
http://www.epsrc.ac.uk/CallsForProposals/StatisticsMobilityFellowshipsCall.htm
=========================================================================
Date: Wed, 2 Nov 2005 14:49:39 +0100
Reply-To: Stefano Sofia <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stefano Sofia <[log in to unmask]>
Subject: SUMMARY: Standard Normal Distribution Probability Density Function
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear all,=20
last week I posted a query about the evaluation of the cumulative =
distribution function of the N(0, 1) using Fortran.=20
All the messages I received have been useful, thank you. The list would =
be long and I do not report it here; in particular I have to thank =
Dr.Keith Briggs who pointed me out that in Numerical Recipies there is =
the function "erf(x)" (Chapter 6.2) that does the job (with the suitable =
change of variable).=20
thank you again
Stefano
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list on =
behalf of Stefano Sofia
Sent: Thu 10/27/2005 12:00 PM
To: [log in to unmask]
Subject: Standard Normal Distribution Probability Density Function
=20
Dear all,=20
sorry for recalling with words a mathematical function:
given a Standard Normal Distribution N(0, 1), the probability density =
function P(x) is the integral from minus infinity to x of N(0, 1).=20
This integral cannot be solved analitically, numerical tables are =
supplied instead.=20
I need a fortran code to do that, I cannot do it by hand. I looked in =
Numerical Recepies, without success. Could somebody help me in that?=20
Thank you for your attention
Stefano
=========================================================================
Date: Wed, 2 Nov 2005 14:04:46 -0000
Reply-To: "Macfarlane, Alison" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Macfarlane, Alison" <[log in to unmask]>
Subject: FW: link to Statistics Commission PSA target report
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
Comments: cc: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I have been asked to forward this message from the Statistics =
Commission, which is keen to hear your views on targets. Please send =
your views to the Statistics Commission, not me. Discussion is welcome =
on the HSUG, birthstat and radstats list, but the allstat list is not a =
discussion list.
=20
Alison Macfarlane
-----Original Message-----
From: Britta Moeller [mailto:[log in to unmask]]
Sent: 02 November 2005 13:35
To: [log in to unmask]
Subject: link to Statistics Commission PSA target report
Dear Alison,
=20
It was very nice to meet you face-to-face at yesterday's SUF conference. =
As discussed I am sending you the link to our draft PSA target report =
for comment - a hard copy will be send out to you today.
=20
To access the entire report (including all annexes), please click here: =
http://www.statscom.org.uk/media_pdfs/reports/PSAreport+annexes.pdf
=20
(as the file is very large, I don't recommend saving it on your computer =
or printing it out)
=20
=20
If you want to access the various parts of the report individually, you =
could also access the reports section on our website, where I have split =
the report into more manageable chunks, to be found here:
=20
http://www.statscom.org.uk/reports_2-06.asp
=20
I would greatly appreciate if you could forward this email to anyone you =
think might be interested in our work on PSA targets. Comments on the =
content of the report should be sent, by 30 November, to =
<mailto:[log in to unmask]> [log in to unmask]
=20
If you require any additional hard copies, please feel free to get in =
touch.
=20
Best wishes, Britta
=20
=20
Britta Moeller
Communications Manager
Statistics Commission
Artillery House
11-19 Artillery Row
London SW1P 1RT
Tel: 020 7 273 8013
www.statscom.org.uk =
<file:///C:\Documents%20and%20Settings\BMoeller\Application%20Data\Micros=
oft\Signatures\www.statscom.org.uk>=20
=20
The Statistics Commission is independent of Ministers and of the =
producers of official statistics. It operates openly and transparently.
=20
=========================================================================
Date: Wed, 2 Nov 2005 15:34:40 -0000
Reply-To: Amanda Farrin <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Amanda Farrin <[log in to unmask]>
Subject: JOB: Senior Medical Statistician (Ref:214009)
Comments: cc: Kim Hawkins <[log in to unmask]>,
Julia Brown <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
The University of Leeds
Faculty of Medicine and Health
Clinical Trials Research Unit=20
=20
Senior Medical Statistician - Job ref 214009=20
(joint post with Leeds Teaching Hospitals NHS Trust)
=20
Closing date: 30 November 2005
=20
This post is available immediately for a fixed term of two years =
(although further funding may be available).
=20
The Clinical Trials Research Unit (CTRU) at the University of Leeds is a =
leader in the field of clinical trials. The Unit conducts national and =
international randomised clinical trials in a variety of clinical fields =
(cancer, cardiovascular disease and care of the elderly) and has an =
associated research portfolio. =20
=20
We are looking for an enthusiastic individual to provide and develop a =
comprehensive statistical consultancy and training service for staff =
engaged in research at the Leeds Teaching Hospitals NHS Trust (LTHT) and =
to provide statistical support to research projects undertaken by the =
CTRU. As Senior Medical Statistician you will be involved in a wide =
range of statistical activities, including funding applications, design, =
conduct and analysis of research studies and clinical trials and general =
consulting to and training of health professionals. Professional =
support will be provided by the CTRU. =20
=20
Depending on experience, there would be opportunities for PhD =
supervision or enrolment. =20
=20
Applicants should have excellent communication skills, a postgraduate =
qualification in Statistics; at least two years experience in medical =
statistics and be able to work well within a multidisciplinary team =
(trial co-ordinators, health professionals, programmers)
=20
Other Related 2 (=A323,182 - =A330,002 p.a.) or Research 1A =
(=A320,044-=A330,002 p.a.)=20
=20
The University is introducing a new reward framework which will =
facilitate the recruitment, retention and motivation of world class =
staff.
=20
Informal enquiries to Julia Brown or Amanda Farrin on 0113 343 1477.
=20
To apply on line please visit http://www.leeds.ac.uk =
<http://www.leeds.ac.uk/> and click on 'jobs'.=20
Application packs are also available via email =
[log in to unmask] <mailto:[log in to unmask]> or tel =
0113 343 5771
=20
Job ref: 214009
=20
Closing date: 30 November 2005
=20
Interviews are likely to be held between 8 and 16th December 2005
=20
=20
=20
=20
_______________________
Amanda Farrin
=20
Clinical Trials Research Unit
University of Leeds
17 Springfield Mount=20
Leeds
UK
LS2 9NG=20
=20
Tel: 0113 343 1475
Fax: 0113 343 1471=20
Email: [log in to unmask]
Web site: www.ctruleeds.co.uk <http://www.ctruleeds.co.uk/> =20
=20
=20
Confidential information may be contained in this message. If you are =
not the addressee indicated in this message, you may not copy or deliver =
this message to anyone. In such cases, you should destroy this message.
=20
=20
=========================================================================
Date: Wed, 2 Nov 2005 18:41:12 -0000
Reply-To: Kim Hawkins <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kim Hawkins <[log in to unmask]>
Subject: JOB: Medical/Senior Medical Statistician (Ref: 214010)
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=========================================================================
Date: Thu, 3 Nov 2005 08:58:55 -0000
Reply-To: "Mullee M.A." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Mullee M.A." <[log in to unmask]>
Subject: JOB: Research Fellow / Medical Statistician / Health Economist /
Economics Modeller
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
The University of Southampton
School of Medicine
Community Clinical Sciences Division
Research & Development Support Unit (RDSU)
Research Fellow / Medical Statistician / Health Economist / Economics =
Modeller
Applications are invited from enthusiastic, motivated individuals who =
would enjoy working as part of a Faculty-wide team providing R&D support =
to NHS staff. The post holder will be part of a team of medical =
statisticians and researchers within the RDSU. The post offers an =
exciting opportunity to influence the capacity and capability of the NHS =
workforce to deliver clinically effective, evidence-based care and to =
contribute to the development of research projects arising directly from =
practice environments. The post holder will be expected to provide =
advice on a range of research issues and to facilitate R&D partnerships =
between NHS and Faculty staff, and assist in the development and conduct =
of the highly rated R&D Training and Education programme.
In addition, the post holder will have the opportunity to develop =
independent research and work with colleagues in other departments =
within the University, including health economists and economic =
modellers within the Southampton Health Technology Assessments Centre =
(SHTAC) and National Co-ordinating Centre for Health Technology =
Assessment (NCCHTA), http://www.wihrd.soton.ac.uk/ and medical =
statisticians and health economists within Public Health Sciences and =
Medical Statistics (PHSMS), =
http://www.som.soton.ac.uk/research/cbcs/hcru/
and Southampton Statistical Sciences Research Institute (S3RI). There =
will also be opportunities to liaise with colleagues from the Welcome =
Trust Clinical Research Institute (WTCRF).
Applicants should be graduates with a higher degree in health services =
research / health economics / economic modelling / medical statistics or =
a related discipline. Good presentational, consultancy and interpersonal =
skills with the ability to communicate effectively with non-specialists =
are essential. A working knowledge of statistical packages (such as =
Stata, SPSS or SAS) is also desirable, as is a working knowledge of =
database (e.g. Microsoft Access) or web development. Applications are =
invited from newly qualified postgraduates as well as those with =
experience. The post is funded until the end of March 2008 in the first =
instance.=20
Potential applicants wishing to discuss the post informally should =
contact Mr Mark Mullee (Director of the RDSU), tel. 023 8079 6557 / =
4778, e-mail [log in to unmask]
The appointment is full-time and fixed term until the end of March 2008. =
Salary will be in the range of =A323,457 to =A328,850, according to =
previous experience and qualifications=20
An application form and further particulars may be obtained from the =
Human Resources Department (M), University of Southampton, Highfield, =
Southampton, SO17 1BJ, Tel: 023 8059 2750, e-mail: [log in to unmask] =
or minicom: 023 8059 5595, alternatively visit our website at =
www.jobs.soton.ac.uk. Closing date for applications 1 December 2005. =
Please quote reference number 05M0256j.
Excellence Through Diversity
-----------------------------------------------------------------------=20
Mark Mullee BSc (Hons) MSc CStat MSc=20
Director, Research & Development Support Unit=20
Level C (805)=20
Southampton General Hospital=20
Southampton=20
SO16 6YD=20
UK=20
=20
Tel: +44 (0)23 8079 6557 / 4778 (Secretary: Mon, Wed, Fri)=20
Fax: +44 (0)23 8079 6529=20
=20
http://www.rdsu.soton.ac.uk/ <BLOCKED::http://www.rdsu.soton.ac.uk/> =20
Email: [log in to unmask] <BLOCKED::mailto:[log in to unmask]> =20
This email transmission is confidential and intended solely for the =
person or organization to whom it is addressed. If you are not the =
intended recipient, you must not copy, distribute or disseminate the =
information, or take any action in reliance of it. Any views expressed =
in this message are those of the individual sender, except where the =
sender specifically states them to be the views of any organization or =
employer. If you have received this message in error, do not open any =
attachment but please notify the sender (above) deleting this message =
from your system. Please rely on your own virus check no responsibility =
is taken by the sender for any damage arising out of any bug or virus =
infection.=20
=========================================================================
Date: Thu, 3 Nov 2005 11:16:10 +0000
Reply-To: Neville Calleja <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neville Calleja <[log in to unmask]>
Subject: Re: Exact Logistic Regression
Dear colleagues
I am having a bit of a problem. I am trying to conduct logistic
regression on a dataset with 32 records - 16 in each outcome group - and 3
covariates. I am aware that this group is fairly small and, in fact, I
did not get not even a hint of significance.
I attempted exact and Montecarlo logistic regression using LogXact but the
software is giving me only asymptotic estimates (which corresponds with
the result of the conventional logistic regression I did in Stata). The
software refuses to generate exact or Montecarlo estimates.
Unfortunately, my SAS is very rusty and, currently, I do not have access
to the software, so I can't use the SAS routine. I have to admit I am
more of a STATA user.
Can you help me identify what's wrong? Any suggestions?
Thanks
Neville Calleja
=========================================================================
Date: Thu, 3 Nov 2005 11:30:24 +0000
Reply-To: Den Lowpetch <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Den Lowpetch <[log in to unmask]>
Subject: New Job: PhD Statisticians for entry role at Pharmaceutical
company
Summary of Role: This is a premier opportunity for a newly qualified PhD
statistician to train as a clinical statistician, to take on a position of
key influence within an elite pharmaceutical company, to be based in
Switzerland, on the border with France.
Company Info: Our client is a pharmaceutical giant, ranking in the
world's top 5 in this industry. It operates in 140 countries through 360
independent affiliates, while offering a range of pharmaceutical products
and services within primary care, oncology, transplantation, ophthalmics
and mature products. In its consumer health division, it deals primarily
with OTC drugs, animal health, medical nutrition, infants and babies. In
2003, its group sales increased by 19%, taking this market leader from
strength to strength. A generous benefits package is available.
Job Role: As a Clinical Statistician, you will be responsible for all
statistical aspects of clinical studies, including study design, planning,
protocol development and analysis planning and reporting, while liasing
with a large international team of statisticians in the company's Global
Biostatistics group and world-class internal and external methodology
consultants.
This role will involve:
Coordinating study tasks with other statisticians and statistical
programmers.
Exploring data for product profiling, hypothesis generation, new research
topics and publications.
Driving forward innovative solutions for the studies.
Minimum Requirements:
Postgraduate degree in Statistics or Mathematics (Ph.D. or MSc.)
Strong statistical skills and knowledge of clinical trials methodology
Knowledge of SAS
Good oral and written communication skills
Unique Benefits: This company is well-known for its significant benefits
package, its name on your CV would provide significant polish to your
track record of excellence, while living in French-Swiss border within
driving distance of France, Austria, Germany and Italy holds promise.
Keywords: Senior Stastician / Statistician / PhD Statistics / MSc
Statistics / Statistics / Mathematics / Mathematician / Clinical
Statistics / Medical Statistics / Clinical Trials / Clinical Studies /
Drug Development
If you think you fit the bill, email your CV to: den@fforde-
management.com, speak to Lawrence on 01273 722366 or write to us at Curtis
House, 34 Third Avenue, Hove BN3 2PD Fax: 01273 325350. If you prefer a
different kind of role, call for a confidential chat about your personal
career needs.
Fforde is a niche recruitment agency specializing in the pharmaceutical,
CRO and biotechnology sectors, priding itself on a glowing reputation
within the industry and a high-quality personalised service dedicated to
intelligent delivery. Explore our website for a peek at all our enticing
job opportunities. www.fforde-management.com
=========================================================================
Date: Thu, 3 Nov 2005 14:07:48 +0000
Reply-To: William Browne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: William Browne <[log in to unmask]>
Subject: JOB: Research officer post in Statistics at the Univeristy of
Nottingham
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Dear All,
Please find details of an ESRC funded post in the School of Mathematical S=
ciences at Nottingham. This post is being readvertised with a new start dat=
e due to the original appointee dropping out prior to the start date. Previ=
ous applicants are encouraged to reapply for the job.
Bill Browne.
------------------------------------------------------------------
University of Nottingham
School of Mathematical Sciences
Division of Statistics
Research Associate/Fellow in Statistics
Applications are invited for the above post funded by the ESRC to investiga=
te sample size calculations, identifiability and efficient MCMC algorithms =
for complex random effect models. The research project will develop comput=
er software to evaluate, through simulation, sample size calculations in co=
mplex models. The project will also implement and compare various approach=
es to improve the efficiency of MCMC algorithms for such models.
Candidates should hold a higher degree in statistics or a related disciplin=
e. Experience of statistical model development and strong computer program=
ming skills are essential. Familiarity with MCMC methods, random effect mo=
delling and C/C++ programming experience are desirable. As the project inv=
olves the production of dissemination materials for non-statisticians, exce=
llent verbal, written and interpersonal communication skills are also requi=
red.
Salary will be within the range =A320,044 - =A326,470 per annum, depending =
on qualifications and experience (=A322,289 maximum without PhD). This pos=
t is available from January 2006 and will be offered on a fixed-term contra=
ct for a period of three years.
The position will be associated with the recently formed ESC National Centr=
e for Research Methods ( http://www.ncrm.ac.uk/ ) and in particular the LEM=
MA node based at the University of Bristol.=20=20
Informal enquiries may be addressed to Dr Bill Browne, tel: 0115 951 4940 o=
r Email: [log in to unmask] Further details on the Division =
of Statistics are available at: http://www.maths.nott.ac.uk/statsdiv/.
Candidates should send a detailed CV, together with the names and addresses=
of two referees, to Dr W.J. Browne, School of Mathematical Sciences, The =
University of Nottingham, University Park, Nottingham, NG7 2RD. Closing da=
te: 18 November 2005.
Dr William Browne work phone : (0115) 9514940=20
Lecturer in Statistics home phone : (0115) 9392239
Mathematical Sciences mobile : (0779) 1577701=20
University of Nottingham=20=20=20=20=20=20=20=20=20=20
University Park E-mail : [log in to unmask]
c.uk=20
Nottingham NG7 2RD=20
web: http://www.maths.nott.ac.uk/htbin-local/staff.info?pmzwjb=20
web (MLwiN): http://multilevel.ioe.ac.uk/=20
web (Publ.): http://www.maths.nott.ac.uk/personal/pmzwjb/bill.html=20
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 3 Nov 2005 14:06:41 +0000
Reply-To: William Browne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: William Browne <[log in to unmask]>
Subject: JOB: Research officer post in Statistics at the Univeristy of
Nottingham
Mime-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
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Dear All,
Please find details of an ESC funded post in the School of Mathematical Sc=
iences at Nottingham. This post is being readvertised with a new start date=
due to the original appointee dropping out prior to the start date. Previo=
us applicants are encouraged to reapply for the job.
Bill Browne.
------------------------------------------------------------------
University of Nottingham
School of Mathematical Sciences
Division of Statistics
Research Associate/Fellow in Statistics
Applications are invited for the above post funded by the ESRC to investiga=
te sample size calculations, identifiability and efficient MCMC algorithms =
for complex random effect models. The research project will develop comput=
er software to evaluate, through simulation, sample size calculations in co=
mplex models. The project will also implement and compare various approach=
es to improve the efficiency of MCMC algorithms for such models.
Candidates should hold a higher degree in statistics or a related disciplin=
e. Experience of statistical model development and strong computer program=
ming skills are essential. Familiarity with MCMC methods, random effect mo=
delling and C/C++ programming experience are desirable. As the project inv=
olves the production of dissemination materials for non-statisticians, exce=
llent verbal, written and interpersonal communication skills are also requi=
red.
Salary will be within the range =A320,044 - =A326,470 per annum, depending =
on qualifications and experience (=A322,289 maximum without PhD). This pos=
t is available from January 2006 and will be offered on a fixed-term contra=
ct for a period of three years.
The position will be associated with the recently formed ESC National Centr=
e for Research Methods ( http://www.ncrm.ac.uk/ ) and in particular the LEM=
MA node based at the University of Bristol.=20=20
Informal enquiries may be addressed to Dr Bill Browne, tel: 0115 951 4940 o=
r Email: [log in to unmask] Further details on the Division =
of Statistics are available at: http://www.maths.nott.ac.uk/statsdiv/.
Candidates should send a detailed CV, together with the names and addresses=
of two referees, to Dr W.J. Browne, School of Mathematical Sciences, The =
University of Nottingham, University Park, Nottingham, NG7 2RD. Closing da=
te: 18 November 2005.
Dr William Browne work phone : (0115) 9514940=20
Lecturer in Statistics home phone : (0115) 9392239
Mathematical Sciences mobile : (0779) 1577701=20
University of Nottingham=20=20=20=20=20=20=20=20=20=20
University Park E-mail : [log in to unmask]
c.uk=20
Nottingham NG7 2RD=20
web: http://www.maths.nott.ac.uk/htbin-local/staff.info?pmzwjb=20
web (MLwiN): http://multilevel.ioe.ac.uk/=20
web (Publ.): http://www.maths.nott.ac.uk/personal/pmzwjb/bill.html
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 3 Nov 2005 14:50:19 +0000
Reply-To: Dr Anthony Robinson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dr Anthony Robinson <[log in to unmask]>
Subject: Job: Lectureship at Bath
University of Bath
Department of Mathematical Sciences
Statistics Group
A permanent lectureship (Grade B), is available from 1 August, 2006.
Details and further particulars at
http://www.maths.bath.ac.uk/~masmdp/job3.html
=========================================================================
Date: Thu, 3 Nov 2005 17:23:23 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Research Scientist, MRC Centre, Cambridge
Comments: cc: [log in to unmask]
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Content-Type: text/plain; charset="iso-8859-1"; format=flowed
Content-Transfer-Encoding: quoted-printable
I have been asked to forward this to the list.
Please reply to the details given and not to me.
> Research Scientist
>
>The MRC Biostatistics Unit aims to advance medical science by the=20
>development of statistical methodology. It is one of Europe's leading=20
>biostatistics research institutions and comprises a number of=20
>internationally renowned statisticians.
>
>This is a 3 year position for a post-graduate with either a PhD or MSc in=
=20
>Statistics, Medical Statistics or statistical epidemiology. It is funded=20
>by the Papworth Hospital NHS Trust.
>
>The focus of this post is to work on applied projects generated by the=20
>Biostatistics Unit's collaboration with the Papworth Hospital NHS Trust,=20
>and to address methodological issues arising from such applied work. The=20
>post holder will be expected to spend around 60% of their time at Papworth=
=20
>Hospital developing these collaborative studies as part of an=20
>interdisciplinary team, based in the R & D Unit.
>
>The starting salary will be in the range of =A324,746 to =A325,766 per=
annum=20
>(depending on qualifications and experience), supported by a flexible pay=
=20
>and reward policy, 30 days annual holiday entitlement and an optional=20
>final salary MRC pension scheme. Excellent sports and social facilities=20
>are also available on site.
>
>Further details of the post are available from Peter Ilian, Unit=20
>Administrator (tel: 01223 330397, email: [log in to unmask]).=20
>Potential candidates wishing to discuss the position may do so by=20
>contacting Dr Linda Sharples (01223 330389=20
>[log in to unmask]) at the Biostatistics Unit in the first=20
>instance.
>
>Applications should include a covering letter and a full CV with the=20
>contact details of two academic or professional referees who can be=20
>approached prior to interview.
>
>Quoting job reference BSU/1005/10, please e-mail your application to:=20
>[log in to unmask] or post to: Recruitment Office, Personnel=20
>Department, MRC Centre, Hills Road, Cambridge, CB2 2QH.
>
>Closing date: 11 November 2005
>
=========================================================================
Date: Thu, 3 Nov 2005 17:57:25 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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CONTRACT - Senior Statistician
=20
Salary: GBP 50ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a clinical statistical expert to have experience of
protocol development in various therapeutic areas phase 2 to 4,
including sample size generation and review of sample sizes proposed.
Experience of reviewing statistical deliverables from protocol through
to clinical study reports. Experience in managing statistics work
through the use of external suppliers (CROs). The contract will run from
the beginning of December for an initial 6 months. Candidates require 5+
years clinical experience with specific experience of working for a
pharmaceutical company and communicating with internal and external
suppliers. Msc in Stats would be preferable.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-4238'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 3 Nov 2005 18:04:49 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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CONTRACT: SAS Programmer
=20
Salary: GBP 40ph=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
This position is working within a midsized biostatistics team on a 3
month rolling contract. Your day to day activities will depend on your
past experience and strengths. The contract will start ASAP with
interviews taking place immediately. Please apply for full details.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-4119'.=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 3 Nov 2005 18:23:50 -0000
Reply-To: "Abrams, Prof K.R." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Abrams, Prof K.R." <[log in to unmask]>
Subject: SEMINAR: Tues 8th Nov : Bayesian Methods in Project Management,
Univ of Leicester, UK
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SEMINAR ANNOUNCEMENT
11:00 on Tuesday 8th November 2005
Room G20, Department of Health Sciences,=20
University of Leicester,=20
22-28 Princess Road West, Leicester=20
(Directions at http://www.hs.le.ac.uk/directions/)
BAYESIAN METHODS IN PROJECT MANAGEMENT
Fabrizio Ruggeri (CNR - IMATI, Milano, Italy)*,=20
Jesus Palomo (SAMSI and Duke University, Durham, USA) &=20
David Rios Insua (ESCET, Universidad Rey Juan Carlos, Madrid, Spain)
Abstract:=20
Stemming from a consulting project we considered three activities in=20
project management: forecast of project costs in the bidding process=20
and delivery times by subcontractors, estimation of probability of=20
occurrence of rare events and their disruptive effects (``gravities''),=20
study of the competitors' bidding strategy. In this talk we deal with =
the=20
first two activities in a Bayesian framework.=20
We consider forecasting with dynamic models when expert's opinion is
available at specific time points about costs or delivery times.=20
Different models, including copulas, have been considered in the =
analysis
of unplanned low probability-high impact events in projects.
* Seminar will be given by Fabrizio Ruggeri
All Welcome.=20
Tea & coffee available from 10:30-11:00.
Further details can be obtained from
Keith R. Abrams
Professor of Medical Statistics
Centre for Biostatistics & Genetic Epidemiology
Department of Health Sciences
University of Leicester
22-28 Princess Road West
Leicester, LE1 6TP, U.K.
Tel +44 (0)116 252 3217
FAX +44 (0)116 252 3272
e-mail [log in to unmask]
http://www.hs.le.ac.uk/~keitha
=========================================================================
Date: Thu, 3 Nov 2005 21:26:52 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Greenacre <[log in to unmask]>
Subject: WORKSHOP: Multivariate Analysis for Environmental Biologists
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* WORKSHOP:
* Multivariate Analysis for Environmental Biologists
* Michael Greenacre & Raul Primicerio
* BBVA Foundation, Madrid
* 23-25 November 2005
* Cost: 100 euros, including course notes,
coffees and lunches.
* Deadline for registration: 16 November 2005
This workshop focuses on the statistical analysis of
biological and environmental data from a multivariate
point of view, exploring relationships between and
within groups of biotic and abiotic variables in order
to characterize the ecological system that is operating.
The first part of the workshop introduces statistical
techniques that describe and model biological variation
and environmental variation separately.
The second part is devoted to relationships between
biological and environmental variables, including a
brief introduction to spatial statistics, a subject of
increasing importance in environmental biology.
This workshop includes hands-on computing
sessions every afternoon. It is presented by Michael
Greenacre (Universitat Pompeu Fabra, Barcelona) and
Raul Primicerio (Norwegian College of Fishery
Science, Tromso, Norway) and is sponsored by the
BBVA Foundation.
More information can be found at:
http://www.econ.upf.es/~michael/workshop.pdf
E-mail for enquiries or registration:
[log in to unmask]
=========================================================================
Date: Fri, 4 Nov 2005 09:55:44 +0000
Reply-To: Juergen Wellmann <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Juergen Wellmann <[log in to unmask]>
Subject: Query: how to combine hazard rate ratios
Dear all,
I would highly appreciate your advice on some problem
which came up in a meta-analysis.
In one paper, the following results on the effect of an
ordinal exposure variable (with three categories) on the
rate of a disease have been published:
number of subjects, number of events, and person years
for each category of the exposure variable
and hazard rate ratios plus confidence intervals, adjusted
for several confounders, with "no exposure" as the reference
category.
I now need an adjusted hazard rate ratio for the other
two categories combined, i.e. a hazard rate ratio for
"exposed" versus "not exposed".
A simple estimate would be based on a weighted average
of log(HRR), weighted by the inverse of the squared
standard error, where the standard errors have to be
calculated from the published confidence intervals.
Is this an appropriate method or can you point me
to a better approach?
Kind regards
Juergen
=========================================================================
Date: Fri, 4 Nov 2005 10:45:31 +0000
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar:Statistical Challenges in Applied Veterinary Science
Helen Clough, University of Liverpool
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Statistical Challenges in Applied Veterinary Science Helen Clough,
University of Liverpool
Wednesday, 9th November 2005, 2pm
The Whittaker Room (211)
Abstract:
The life of a statistician working in the field of veterinary sciences is
both exciting and varied. Through the occurrence of applied problems for
which no "textbook" solutions exist, numerous opportunities to develop
novel statistical and probabilistic approaches occur. I will describe a
number of studies in which I have been involved over the last few years,
ranging from the development of Bayesian approaches to the assessment of
parameter uncertainty in Microbial Risk Assessment models to methods for
assessing spatial and temporal variation in levels of infection of herds
with particular pathogenic organisms on UK-based farms. This is joint work
with a number of co-authors at the Universities of Liverpool, Nottingham,
Lancaster and Massey (NZ) and at VLA Weybridge.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 4 Nov 2005 10:41:52 -0000
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Statistician / Senior Statistician - South East UK: Industry
leader seeks new talent
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
Statistician / Senior Statistician - South East UK
SEC are retained to recruit two top-tier statistical professionals to join
one of the worlds leading biotechnology companies and be based in the South
East of the UK. Full details of the client and location are available on
application.
You will join one of four dedicated groups within a large European
Biostatistics Division and become an essential part of a dynamic and focused
team of clinical development professionals. These roles will initially have
a focus within gastrointestinal and auto-immune disease indications although
their will be opportunities to work and move into other therapeutic areas.
We want to speak to motivated statistical professionals with upwards of 1
years experience working as a Statistician on clinical trials within CRO or
Pharma. Ideally for the Statistician position you will have 2+ years
experience and for the senior appointment you will have 5+ years experience.
Essential for both positions is a minimum MSc Statistics. SAS skills are
important, strong team working and communication skills are, of course,
essential. Experience of working within gastrointestinal or auto-immune
disease indications is an advantage.
On offer is an excellent base salary, annual bonus and a comprehensive
benefits package. You will join one of the world's most successful biotech
companies and gain real responsibility from day one with a commitment to
your continuous career growth and personal development.
To be considered for these appointments enclose your current CV in reply
with a short cover not detailing your salary expectation, notice period and
contact details. Alternatively call Alan on 020 7 255 66 00 for full
details.
Kind regards,
Alan Brophy
SEC Recruitment, London
Tel: 0207 255 66 00
Fax: 0207 255 66 01
[log in to unmask] <mailto:[log in to unmask]>
SEC are an ISO9001:2000 accredited specialist recruitment company working
within the Pharmaceutical, Biotech and CRO industries. If you are interested
to learn more about further appointments within Biostatistics or Statistical
Programming across the UK and Mainland Europe contact Alan on 020 7 255 6600
for a confidential discussion.
=========================================================================
Date: Fri, 4 Nov 2005 11:58:55 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Course: Statistical consulting at RSS Errol Street
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Consultancy Skills
A one-day training workshop for statisticians
December 13 2005
To be held at RSS
Errol Street, LONDON
A highly participative workshop for statisticians who wish to improve their
ability to help non-statistical clients. Discussions and interactive
exercises will allow participants to explore the non-statistical issues
that can undermine effective consultancy.
Objectives:
1. To review the many context-related and inter-personal difficulties that
statisticians may encounter during consultancy interactions.
2. To offer models or theories or paradigms, which shed light on why these
difficulties arise.
3. To indicate which ways of working might be most effective with various
clients.
Programme
10:00 Registration and coffee
10:30 "Introduction"
Roland Caulcutt (Statistical consultant)
The statistical consultant advises his/her client on the collection,
analysis and interpretation of data, in a particular context How do the
roles of statistician and client differ and how well does the statistician
need to understand the client and the context in order to add maximum value?
11:00 "A journey to more effective
consultancy" Marie South
(Statistical consultant)
Whether you are working as an individual, or as part of a team, developing
your consultancy skills is a journey. In this session we will build on the
day's learning by looking together at some of the key stages on that
journey, and ways to lighten the load a little en route.
11:45 "Do you know what clients really
want?" Roland Caulcutt
If a statistician assumes that a client's only need is statistical advice
or data analysis, then he or she is unlikely to understand the difficulties
that arise in the consulting relationship. Many psychologists have shed
light on the needs that people have within the workplace. An understanding
of these needs can help consultants to avoid resistance.
12:45 Lunch
13:45 "Communication between statistician and
client" Julie Bullen (Organisational psychologist)
It has been demonstrated that communication is much easier if statistician
and client have similar personality types. What difficulties are you
likely to have with different types? To discover your personality type go
to <http://www.humanmetrics.com/>http://www.humanmetrics.com, or
http://www.personalitypathways.com. In the workshop we will discuss the
difficulties you are likely to encounter and propose some ways of
addressing these.
15:30 Tea
15:45 "The statistician, the client, data and
decisions" Roland Caulcutt
Many successful organisations claim to have developed a management-by-fact
culture. Do managers find it easy to base decisions on data? Can
statisticians help them? An interactive business simulation will highlight
some of the illusions that surround managing-by-fact.
16:45 Closing discussions
17:15 End of workshop
=========================================================================
Date: Fri, 4 Nov 2005 11:19:46 +0000
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Strategic Analysts
Dear All,
Datatech have the following requirement,
Strategic Analysts London 25-75K Plus Benefits
These are dynamic opportunities to provide business advice and analysis
within a high profile service sector organisation.
Responsibilities will include a range of projects across the business,
utilising quantitative methods such as financial/statistical modelling and
risk analyses.
Ideally you will have knowledge of statistical techniques and the ability
to lead on projects.
You should be a highly numerate graduate with excellent communication
skills and the ability to influence at a senior level.
This is a first class opportunity to either launch your career or utilise
your skills and experience to their full potential within this consultancy
environment.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
=========================================================================
Date: Fri, 4 Nov 2005 14:27:53 +0000
Reply-To: Mario Cortina Borja <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mario Cortina Borja <[log in to unmask]>
Subject: PhD Studentships - Institute of Child Health UCL
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Institute of Child Health, University College London - Great Ormond Street
Hospital NHS Trust
PhD studentships
The joint institutions are offering a number of three-year research PhD
studentships to start in the academic year 2006.
Full details and how to apply can be found at
http://www.ich.ucl.ac.uk/ich/humanresources
For further information about the ICH see our website,
http://www.ich.ucl.ac.uk
Applications are invited from committed individuals wishing to do research
in a clinical context,
and who expect to graduate with a UK 1st class or upper 2nd class honours
degree or equivalent.
Three projects are ideally suited to individuals with a strong background
in Mathematics and Statistics:
1. Applications of functional data analysis in physiotherapy and life
course epidemiology.
Supervisors: Dr Mario Cortina Borja and Professor Tim Cole
2. Creating age-related centiles with smaller sample sizes.
Supervisors: Dr Angie Wade and Professor Tim Cole
3. Infection in neonatal intensive care units: health care
determinants and outcomes.
Supervisors: Dr Ruth Gilbert and Dr Mario Cortina Borja
The PhD students will be based within the Centre for Paediatric
Epidemiology and Biostatistics at the Institute of Child Health.
More information about the Centre is available from:
http://www.ich.ucl.ac.uk/ich/html/academicunits/paed_epid/paed_ep_unit.html
Informal enquiries may be made to the supervisors.
Applications should include a CV and the names and email addresses of two
academic referees.
Eligibility: Full studentships are available to UK applicants.
Other EU applicants may apply for a fees-only award. Non-EU residents are
not available for funding.
Closing date for applications: 6th January 2006.
Interview dates: 30th and 31st January 2006.
If you wish to visit the ICH to discuss these opportunities, there is an
Open Day on 23rd November 2005 from 2.00pm.
This will include a display of posters by PhD students which demonstrates
the range of ICH research.
Project abstracts
1. Applications of functional data analysis in physiotherapy and life
course epidemiology
Hypothesis: Functional Data Analysis provides a better understanding of
intrinsic aspects of the data regarded as curves
than conventional statistical methods.
Aims and methods: Functional data (FD) consist of samples of curves,
images, or other types of function (1,2).
These forms of data occur often in clinical and epidemiological studies:
examples include a child's height measured repeatedly,
ECG traces, angles formed by the hip and the knee during a child's gait
cycles, and age-related patterns of viral load
in an HIV infected child. In all these examples the data change according
to another variable, usually time,
and can be plotted as a curve; the aim of FD analysis (FDA) is to model
characteristics intrinsic to the curves
(e.g. cyclical patterns or changes in the function's derivatives). The
curves can also be multivariate: for instance,
we may be interested in the joint description of height and weight over time.
There are three types of analysis involving FD. In the simplest case we
seek to quantify the ways in which individual
curves vary among themselves, for instance differences in growth patterns
among children. The second case is a regression
model with a scalar response variable and FD explanatory variables. For
instance we could model the mucous expulsion from
the airways as a function of the force-time profile of a physiotherapist's
hand pressing on a child's chest wall, recorded
on a mat during physiotherapy manoeuvres (3); this can be plotted as a
curve versus time and is thus FD. Other examples
refer to the effect of variables measured in early life, e.g. early growth
patterns, on the life course e.g. later chronic
disease (4-6). In the third case the response variable is itself
functional, with scalar and possibly FD explanatory variables.
Children with brain injury walk along an electronic walkway which provides
co-ordinates of point of force/pressure under the
foot over time so each footfall provides a trace showing the path of the
centre of pressure (7). The FD response variable is
the pressure pattern, and this can be related to the child's status (e.g.
brain injury or control) and other factors relating
to their severity of injury and/or degree of recovery.
We have access to datasets provided courtesy of Dr Eleanor Main from the
Portex and Physiotherapy Department at GOSH,
and to data sets from the Centre for Paediatric Epidemiology and
Biostatistics relating to life course research (8).
The student will: apply advanced programming in R, review applications of
FDA in clinical and epidemiological contexts,
discuss general inference procedures in FDA, and develop models for the
datasets available.
References:
1. Ramsay J, Silverman BW. Functional data analysis (2nd ed.). New
York: Springer; 2005.
2. Ramsay JO, Silverman BW. Applied functional data analysis. New
York: Springer; 2002.
3. Gregson RK, Petley GW, Browne M, Pickering RM, Warner JO. A new
method to quantify manual paediatric chest physiotherapy techniques.
Physiotherapy 2003;89:611-2
4. Cole TJ. Modeling postnatal exposures and their interactions with
birth size. J Nutr 2004;134:201-4.
5. Singhal A, Fewtrell M, Cole TJ, Lucas A. Low nutrient intake and
early growth for later insulin resistance in adolescents born preterm.
Lancet 2003;361:1089-97.
6. Singhal A, Cole TJ, Fewtrell M, Deanfield J, Lucas A. Is slower
early growth beneficial for long-term cardiovascular health?
Circulation 2004;109:1108-13.
7. Alderson LM, Peters J. Dynamic balance in children with
coordination problems: the usefulness of the 'Gaitrite' mat.
In: 6th International Conference on Children with Developmental
Coordination Disorder; 2005; Trieste; 2005.
8. de Stavola BL, Nitsch D, dos Santos Silva I, McCormack V, Hardy R,
Mann V, Cole TJ, Morton S, Leon DA.
Statistical issues in life course epidemiology. Am J Epidemiol
2005;(in press).
Contact: [log in to unmask]
2. Creating age-related centiles with smaller sample sizes.
Hypothesis: The joint modelling of several correlated outcomes to create
age-related centiles will require fewer measurements
to achieve the same precision than when each outcome is modelled
separately. The development of this methodology will be of
widespread clinical usage.
Aims and Methods: Population reference centiles are used within clinical
practice to contrast a measurement for a single subject
with the values seen in a control population. In paediatric applications,
it is often necessary to adjust reference centiles
for the age of the child. The statistical aspects of constructing
age-related centile curves have developed greatly over the last
10-15 years and have been an area of particular interest to the project
supervisors (1-10). One area that has not been investigated
is the joint modeling of correlated outcomes, an approach which will lead
to greater precision for each univariate set of centiles.
This development will be particularly important where the collection of
samples and/or measurements from normal individuals is problematic.
Each of 3 locally available datasets involving correlated outcomes have
previously been the subject of developments in the field:
1. Ratings of emotion recognition (10): There are six6 types of emotion to
be recognised (fear, surprise, anger, happiness,
sadness and disgust). These data are by nature multinomial although, and
previous analyses have treated each emotion as
a separate ordinal outcome (10).
2. Assessment of visual acuity (5,9): For each child, 4 related
measurements are made: 2 with both eyes open and 1 for each
of the eyes separately (other eye patched). If vision is bad in one eye
then this may manifest itself additionally when
the eyes are tested jointly.
3. Immunological measurements of CD4, CD8 and lymphocytes (1,4,7): CD4 and
CD8 are conventionally analysed as percentages of
all lymphocytes. The percentages of CD4 and CD8 cells are thus inversely
related to each other and also to CD4, CD8 and absolute
lymphocyte counts.
The student will develop multivariate methods and quantify how this
approach affects the sample sizes necessary to obtain
a specified centile precision. The student will also investigate
multivariate assessment of individuals i.e. assignment of a
single composite centile score to an individual dependent on their
measurement portfolio and contrast the usefulness and
applicability of composite versus separate scores.
References:
1. Wade AM, Ades AE, Dunn DT, Newell M-L, Peckham CS with De Maria A
[The European Collaborative Study].
Age-related standards for T lymphocyte subsets based on uninfected
children born to human immunodeficiency
virus 1-infected women. Pediatr Infect Dis J 1992; 11): 1018-1026.
2. Cole TJ. Fitting smoothed centile curves to reference data (with
discussion). J Roy Statist Soc A 1988; 151: 385-418.
3. Cole TJ, Green PJ. Smoothing reference centile curves: the LMS
method and penalized likelihood. Stat Med 1992; 11: 1305-1319.
4. Wade AM, Ades AE. Age-related reference ranges: significance tests
for models and confidence intervals for centiles.
Stat Med 1994; 13: 2359-2367.
5. Wade AM, Ades AE, Salt AT, Jayatunga R, Sonksen PM. Age-related
standards for ordinal data: modelling the changes
in visual acuity from 2 to 9 years of age. Stat Med 1995; 14: 257-266.
6. Cole TJ, Freeman JV, Preece MA. British 1990 growth reference
centiles for weight, height, body mass index and
head circumference fitted by maximum penalized likelihood. Stat
Med 1998; 17: 407-429.
7. Wade AM, Ades AE. Incorporating correlations between measurements
into the estimation of age-related reference ranges.
Stat Med 1998; 17:1989-2002.
8. Pan H, Cole TJ. A comparison of goodness of fit tests for
age-related reference ranges. Stat Med 2004; 23: 1749-1765.
9. Wade AM, Salt AT, Proffitt RV, Heavens SJ, Sonksen PM.
Likelihood-based modelling of age-related normal ranges for ordinal
measurements: changes in visual acuity through early childhood.
Stat Med 2004; 23: 3623-3640.
10. Wade A, Lawrence K, Mandy W, Skuse D. Charting the development of
emotion recognition from 6 years of age.
Journal of Applied Statistics. In Press. August 2005.
Contact: [log in to unmask]
3. Infection in neonatal intensive care units: health care determinants and
outcomes.
Hypothesis: Better understanding of the determinants and consequences of
hospital acquired infection in neonatal intensive care units
would lead to the development of reliable measures of infection control.
Aims and Methods: The long term aim of the study is to reduce serious
bacterial infections in neonatal intensive care units (NICUs)
through better understanding of the reasons for variation in the incidence
of infection and its consequences. Specific objectives of the
project are to compare the incidence of bacteraemia in babies admitted to
NICUs, adjusted for routinely collected risk factors. The study
will develop analytic and data collection methods for ongoing surveillance
to measure the effect of interventions to reduce serious
bacterial infection and evaluate variation between units. A secondary aim
is to examine the association between bacteraemia and subsequent
health outcomes during the first few years of life.
Newborn babies admitted for neonatal intensive care rank among the
populations at highest risk of bacteraemia (bloodstream infection) (1)
due partly to the relative immune deficiency of premature newborns and the
use of highly invasive and prolonged supportive care.
Approximately, 75% of NICU inpatients receive antibiotics, and increasingly
antibiotics are used intrapartum (2).
Between 10% and 20% of babies admitted to NICU experience at least one
episode of bacteraemia (3).
In the UK, information is lacking about how the types of organisms causing
bacteraemia vary between NICUs, whether these have changed over
time, and what the consequences of infection are for subsequent
health.3 In North America, coagulase negative staphylococcal bacteraemia
has been used as a marker of the quality of infection control and an
outcome measure for changing practices.4 Analytic methods for monitoring
risk stratified incidence rates of bacteraemia in NICU need to be developed
and tested using NHS datasets.
Three datasets (total 6000 patients) are available, ethics approved, and
cleaned ready for analysis. More sites can join during the project.
We will examine potential biases in comparing rates over time and between
units, and use different modelling approaches for risk stratification,
calculation of incidence rates, and for measuring divergent performance.5
The aim will be to develop and validate an audit template for monitoring
bacteraemia rates more widely in the NICUs. This studentship would be
appropriate for someone with experience of programming and data manipulation,
and statistical and/or epidemiological expertise.
References:
1. Nosocomial Infection National Surveillance Service. Surveillance of
hospital-acquired Bacteraemia in English Hospitals.
2002. London, Public Health Laboratory Service.
2. Gilbert, RE, Pike K, Kenyon SL, Tarnow-Mordi W, Taylor DJ. The
effect of pre-partum antibiotics on the type of
neonatal bacteraemia: insights from the MRC ORACLE trials. BJOG
2005;112(6):830-832.
3. Gilbert RE Prenatal screening for group B streptococcal infection:
gaps in the evidence. IJE 2004;33(1):2-8
4. Kilbride HW, Wirtschafter DD, Powers RJ, Sheehan MB Implementation
of evidence-based potentially better practices to
decrease nosocomial infections. Pediatrics. 2003 Apr;111(4 Pt
2):e519-33.
5. Spiegelhalter, DJ. Monitoring clinical performance: a commentary. J
Thorac Cardiovasc Surg. 2004 Dec;128(6):820-2.
Contact: [log in to unmask]
The UCL Institute of Child Health (ICH) is a postgraduate research
institution which, together with its partner,
Great Ormond Street Hospital for Children NHS Trust, contains the largest
concentration of research expertise in
the scientific basis of child health in Europe. Its standing is reflected
in the Grade 5*A awarded in the 2001 HEFCE
Research Assessment Exercise. The Institute is committed to high quality
postgraduate education and has a strong
track record of training and support for its postgraduates. R&D is
organised into a number of themes operating across
the site which facilitate a high level of interaction between basic
scientists, clinicians and population health scientists.
The Institute is offering a number of research studentships for the
academic year 2006-07 supported by the
Child Health Research Appeal Trust (CHRAT) and MRC (Medical Research
Council). Applicants selected for CHRAT or MRC
funding will be able to choose from the proposed PhD projects
Please note, applications that are submitted without following the correct
procedure may not be considered.
4-year PhD studentships funded by the Medical Research Council are also
tenable at ICH, in the project areas
listed above. To apply for a UCL 4 year MRC DTA PhD studentship, please
see: http://www.ucl.ac.uk/mrc-dta
.
_______________________
Dr Mario Cortina Borja
Senior Lecturer in Statistics
[log in to unmask] Phone +44(0)20 7905 2113 Fax +44(0)20 7905 2381
Paed. Epid. & Biostats, Institute of Child Health, UCL, London WC1N 1EH, UK
=========================================================================
Date: Fri, 4 Nov 2005 14:15:48 -0000
Reply-To: Deborah Ashby <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Deborah Ashby <[log in to unmask]>
Subject: JOB: Research Fellow in Medical Statistics,
Wolfson Institute QMUL/ CRUK
Comments: cc: Peter Sasieni <[log in to unmask]>
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Please draw this post to the attention of prospective applicants. Note th=
at
the main contact is Prof Peter Sasieni, not myself.
Many thanks
Deborah Ashby
Research Fellow in Medical Statistics
Wolfson Institute of Preventive Medicine, Charterhouse Square
=A330,063 =96 34,624 pa inclusive
Applications are invited for a Research Fellow in Medical Statistics in t=
his
'RAE flagged' Institute with a strong epidemiological and statistical tea=
m
and an international reputation for research in preventive medicine. This=
is
a high profile role providing rigorous scientific estimates for Cancer
Research UK of the cancer burden over the next 10-20 years under realisti=
c
scenarios.
This new post has been developed in collaboration with Cancer Research UK=
,
building on close links already established between their Statistical
Information Team at Lincoln=92s Inn Fields and the Wolfson Institute of
Preventive Medicine. Your role will be to obtain reliable estimates of
future and likely trends in cancer incidence and mortality over the next
10-20 years in order to assess the likely impact of prevention and
improvements in the early diagnosis and treatment of cancer in the UK.
There will be opportunities to develop statistical methodology relevant t=
o
the project and to assess the cost-benefit analyses of preventive
strategies. You will also have an opportunity to participate in the
teaching of epidemiology and medical statistics to medical students.
You should have an MSc or PhD in Medical Statistics or Epidemiology and a
record of publications in medical research. The salary and appointment w=
ill
be within the range =A330,063 =96 34,624 according to experience and
qualifications.
This is a full time post, fixed term for 3 years with the prospect of
further renewal, at Grade II on the scale for Research & Analogous staff.
Further information can be obtained from Professor Peter Sasieni on
[log in to unmask] or telephone 020 7014 0260.
For an application form, including job description, please contact our 24
hour recruitment line on 020 7882 6149 or email [log in to unmask],
quoting reference number 05398/CD. Alternatively visit the Human Resour=
ces
website on http://www.admin.qmul.ac.uk/humanresources/vacancies/.
Completed applications should be returned by 9am on Monday 21 November 20=
05
and should be addressed to The Recruitment Team, Campus Management
Recruitment Office, The Lodge House, Charterhouse Square, London EC1M 6BQ.
Interviews will be held on 8 December 2005.
Promoting excellence in teaching, learning and research
Working towards equal opportunities
Professor D Ashby
Queen Mary, University of London
[log in to unmask]
TL 020 7882 6264 FX 020 7882 6270
=========================================================================
Date: Fri, 4 Nov 2005 09:48:44 -0500
Reply-To: Madeleine Thomson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madeleine Thomson <[log in to unmask]>
Subject: Re: Seminar:Statistical Challenges in Applied Veterinary Science
Helen Clough, University of Liverpool
Comments: To: Ingrid Harper <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Dear Ingrid
could you kindly use the opportunity of your meeting to advertise this =
post which remains open
Associate Research Scientist - Climate Impacts Research
The International Research Institute for Climate Prediction (IRI) is =
seeking an outstanding individual with excellent statistical skills to =
advance an evidence-based approach to understanding the impact of =
climate on society. The IRI mission is to enhance society's capability =
to understand, anticipate and manage the impacts of seasonal climate =
fluctuations to improve human welfare and the environment, especially in =
developing countries. In pursuit of this mission the IRI undertakes =
research designed to unravel the direct and indirect factors that lead =
to climate-related socio-economic outcomes and thereby provide the best =
evidence available to inform policy and decision-making about =
climate-related risk.
Working with a team of applied social and physical scientists, the =
successful candidate will play a leading role in the development and =
application of methodologies appropriate to creating the evidence-base =
for the impact of climate on societal outcomes, including space-time =
analytical methods.
Candidates must have an applied Ph.D. in biostatistics, statistics, =
quantitative epidemiology, geography, environmental science or =
equivalent and at least two years of relevant postdoctoral experience. =
They must have advanced statistical and numerical skills for spatial and =
temporal analysis including an understanding of modern (Bayesian), =
computationally intensive methods of inference as applied to spatial =
generalized linear models and be able to write code. Successful =
candidates will demonstrate a strong understanding of the measurement =
units in social and physical sciences know their data collection methods =
and be able to normalize various spatial and temporal units for the =
statistical analysis. A practical knowledge of geographical information =
systems would be an advantage.
Candidates must be a team player, able to work collaboratively within a =
skilled multi-cultural research environment, with a demonstrated ability =
to communicate statistical information to a general scientific audience. =
Excellent organizational habits are required.
Columbia University benefits accompany appointment. Salary is =
commensurate with experience. This position is located in Rockland =
County, NY at the Lamont Campus of Columbia University. Prospective =
candidates please select 'apply now' to submit: contact information; =
letter of application including position reference number LD 670 05 002; =
statement of research interests; statement of career objectives; =
curriculum vitae; and contact information for three references. Columbia =
University is an Equal Opportunity and Affirmative Action Employer. =
Women and Minorities are encouraged to apply.
APPLICATIONS THROUGH THE WEBLINK PLEASE
http://iri.columbia.edu/aboutiri/job/html/67005002.html
Madeleine C. Thomson PhD.
Director of Impacts Research
Chair of the Africa Program Interim Committee
International Research Institute for Climate and Society (IRI)
The Earth Institute at Columbia University
104 Monell Bldg., 61 Route 9W, Lamont Campus
Palisades, New York 10964-8000
Tel (++) 1 845 680 4413, Fax (++) 1 845 680 4864,
email [log in to unmask]
See website http://iri.columbia.edu=20
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]]On Behalf Of Ingrid Harper
Sent: Friday, November 04, 2005 5:46 AM
To: [log in to unmask]
Subject: Seminar:Statistical Challenges in Applied Veterinary Science
Helen Clough, University of Liverpool
The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Statistical Challenges in Applied Veterinary Science Helen Clough,=20
University of Liverpool
Wednesday, 9th November 2005, 2pm
The Whittaker Room (211)
Abstract:
The life of a statistician working in the field of veterinary sciences =
is=20
both exciting and varied. Through the occurrence of applied problems for =
which no "textbook" solutions exist, numerous opportunities to develop=20
novel statistical and probabilistic approaches occur. I will describe a=20
number of studies in which I have been involved over the last few years, =
ranging from the development of Bayesian approaches to the assessment of =
parameter uncertainty in Microbial Risk Assessment models to methods for =
assessing spatial and temporal variation in levels of infection of herds =
with particular pathogenic organisms on UK-based farms. This is joint =
work=20
with a number of co-authors at the Universities of Liverpool, =
Nottingham,=20
Lancaster and Massey (NZ) and at VLA Weybridge.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 4 Nov 2005 14:50:06 +0000
Reply-To: Michael Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Sweeting <[log in to unmask]>
Subject: JOB: Scientific Programme Leader, MRC Biostatistics Unit,
Cambridge
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MRC Biostatistics Unit, Cambridge
http://www.mrc-bsu.cam.ac.uk
Scientific Programme Leader
The MRC Biostatistics Unit aims to advance medical science by the=20
development and application of statistical methodology. It is one of=20
Europe=92s leading biostatistics research institutions, and comprises a=20
number of internationally renowned statisticians. An opportunity has=20
arisen to appoint a senior tenured programme leader within the Unit.
Experienced researchers in statistical aspects of genetics, genomics,=20
bioinformatics or related data-rich areas are invited to apply. A=20
record of research in areas which complement rather than duplicate=20
existing strengths in the Unit will be advantageous. The appointee will=20
be responsible for leading and developing their research programme=20
within the overall strategy of the Unit. Two core funded post-doctoral=20
positions are attached to this programme. There are no formal teaching=20
duties associated with the post. The appointee will oversee the=20
bioinformatics and genetics research projects in the Unit, and=20
contribute to the supervision of other staff and PhD students.
Starting salary will take account of seniority and expertise and will be=20
from a a minimum of =A342,719. Some financial assistance with relocation=
=20
will be available. Potential applicants are advised to discuss this=20
post with the Director, Professor Simon Thompson (tel: 01223 330366,=20
email: [log in to unmask]).
Applications should include a full CV, contact details of three academic=20
referees who can be approached prior to interview, and a 2-3 page=20
description of the proposed research programme. Quoting job reference=20
BSU/1105/2 please email to [log in to unmask] or post to=20
Recruitment Office, Personnel Department, MRC Centre, Hills Road,=20
Cambridge CB2 2QH.
Closing date: 30 November 2005
=========================================================================
Date: Fri, 4 Nov 2005 16:20:03 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Contact Details: Course: Statistical consulting at RSS Errol
Street
Comments: cc: [log in to unmask]
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Dear All,
There were no contact details in the previous email. My apologies.
Please contact :-
Ann Yellowlees
Quantics Consulting Limited
Kippilaw Mains
Melrose
TD6 9HF
T: 01835 822015
M: 07801 467775
[log in to unmask]
Consultancy Skills
A one-day training workshop for statisticians
December 13 2005
To be held at RSS
Errol Street, LONDON
A highly participative workshop for statisticians who wish to improve their
ability to help non-statistical clients. Discussions and interactive
exercises will allow participants to explore the non-statistical issues
that can undermine effective consultancy.
Objectives:
1. To review the many context-related and inter-personal difficulties that
statisticians may encounter during consultancy interactions.
2. To offer models or theories or paradigms, which shed light on why these
difficulties arise.
3. To indicate which ways of working might be most effective with various
clients.
Programme
10:00 Registration and coffee
10:30 "Introduction"
Roland Caulcutt (Statistical consultant)
The statistical consultant advises his/her client on the collection,
analysis and interpretation of data, in a particular context How do the
roles of statistician and client differ and how well does the statistician
need to understand the client and the context in order to add maximum value?
11:00 "A journey to more effective
consultancy" Marie South
(Statistical consultant)
Whether you are working as an individual, or as part of a team, developing
your consultancy skills is a journey. In this session we will build on the
day's learning by looking together at some of the key stages on that
journey, and ways to lighten the load a little en route.
11:45 "Do you know what clients really
want?" Roland Caulcutt
If a statistician assumes that a client's only need is statistical advice
or data analysis, then he or she is unlikely to understand the difficulties
that arise in the consulting relationship. Many psychologists have shed
light on the needs that people have within the workplace. An understanding
of these needs can help consultants to avoid resistance.
12:45 Lunch
13:45 "Communication between statistician and
client" Julie Bullen (Organisational psychologist)
It has been demonstrated that communication is much easier if statistician
and client have similar personality types. What difficulties are you
likely to have with different types? To discover your personality type go
to <http://www.humanmetrics.com/>http://www.humanmetrics.com, or
http://www.personalitypathways.com. In the workshop we will discuss the
difficulties you are likely to encounter and propose some ways of
addressing these.
15:30 Tea
15:45 "The statistician, the client, data and
decisions" Roland Caulcutt
Many successful organisations claim to have developed a management-by-fact
culture. Do managers find it easy to base decisions on data? Can
statisticians help them? An interactive business simulation will highlight
some of the illusions that surround managing-by-fact.
16:45 Closing discussions
17:15 End of workshop
=========================================================================
Date: Sat, 5 Nov 2005 11:28:57 +0000
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: Course: GLM, GAM, GLS and mixed modelling
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Apologies for cross-posting
We would like to announce a 5-day statistics course in Newburgh,
Aberdeenshire, UK
Maximum number of participants: 10
The course material is based on:
Zuur, AF, Ieno, EN and Smith, GM (Forthcoming). The Analysis of Ecological
Data. Springer-Verlag. 700p.
Course:
When: Monday 24 April until Friday 28 April 2006.
Where: Ythan hotel, Newburgh, Aberdeenshire, UK
Course: "Analysing Biological and Environmental Data -Using Univariate
Analysis-".
The main subjects of the course are GLM (Poisson and Binomial), GAM
(Poisson and Binomial), generalised least squares and mixed modelling. We
will also discuss data exploration and linear regression (as a platform for
GLM and GAM).
Open to: Anyone. This is a non-technical course for biologist.
Price: 600 Euro for students and 800 Euro per non-student. Prices are
excluding 17.5% VAT. The fee includes coffee and tea, course material and a
1-year license for Brodgar. Early booking is recommended.
Further details and registration: http://www.brodgar.com/statscourse.htm
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: [log in to unmask]
URL: www.highstat.com
URL: www.brodgar.com
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate analysis
and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and multivariate
time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software
=========================================================================
Date: Sun, 6 Nov 2005 22:17:16 -0000
Reply-To: shirley coleman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: shirley coleman <[log in to unmask]>
Subject: RSS Consultancy Skills Course
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
=20
*************************************************************************=
***************************************************************
Consultancy Skills
A one-day training workshop for statisticians
Tuesday December 13 2005
To be held at RSS, 12, Errol Street, LONDON
A highly participative workshop for statisticians who wish to improve =
their ability to help non-statistical clients. Discussions and =
interactive exercises will allow participants to explore the =
non-statistical issues that can undermine effective consultancy.
Objectives:
1. To review the many context-related and inter-personal difficulties =
that statisticians may encounter during consultancy interactions.
2. To offer models or theories or paradigms, which shed light on why =
these difficulties arise.
3. To indicate which ways of working might be most effective with =
various clients.
Programme
10:00 Registration and coffee
10:30 "Introduction" =
Roland Caulcutt (Statistical consultant)
The statistical consultant advises his/her client on the collection, =
analysis and interpretation of data, in a particular context How do =
the roles of statistician and client differ and how well does the =
statistician need to understand the client and the context in order to =
add maximum value?
11:00 "A journey to more effective consultancy" =
Marie South (Statistical consultant)
Whether you are working as an individual, or as part of a team, =
developing your consultancy skills is a journey. In this session we =
will build on the day's learning by looking together at some of the key =
stages on that journey, and ways to lighten the load a little en route.
11:45 "Do you know what clients really want?" =
Roland Caulcutt=20
If a statistician assumes that a client's only need is statistical =
advice or data analysis, then he or she is unlikely to understand the =
difficulties that arise in the consulting relationship. Many =
psychologists have shed light on the needs that people have within the =
workplace. An understanding of these needs can help consultants to =
avoid resistance.
12:45 Lunch
13:45 "Communication between statistician and client" =
Julie Bullen (Organisational psychologist)
It has been demonstrated that communication is much easier if =
statistician and client have similar personality types. What =
difficulties are you likely to have with different types? To discover =
your personality type go to http://www.humanmetrics.com =
<http://www.humanmetrics.com/> , or http://www.personalitypathways.com. =
In the workshop we will discuss the difficulties you are likely to =
encounter and propose some ways of addressing these.
15:30 Tea
15:45 "The statistician, the client, data and decisions" =
Roland Caulcutt
Many successful organisations claim to have developed a =
management-by-fact culture. Do managers find it easy to base decisions =
on data? Can statisticians help them? An interactive business =
simulation will highlight some of the illusions that surround =
managing-by-fact.
16:45 Closing discussions
17:15 End of workshop
For further information and to register, please visit www.rss.org.uk
*************************************************************************=
*************************************************************************=
*****************
=========================================================================
Date: Mon, 7 Nov 2005 10:26:01 -0800
Reply-To: Elena Stanghellini <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Elena Stanghellini <[log in to unmask]>
Subject: Conference announcement: Latent Variable Models
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Dear all
We are pleased to announce the following conference, to be held in
Perugia (Italy), 6-8 September 2006
Statistical Latent Variable Models in the Health Sciences
The primary objective of the conference is to bring together
statisticians from academia as well as other research institutions
working on different theoretical aspects and relevant applications
of latent variable models for the health sciences and to provide
a forum where to share ideas, problems and methodologies.
Potential participants could be biostatisticians, psychometricians, and
public health professionals who are active in the field of Latent Variable
modelling and related methods. People who have current research in the topic are
strongly encouraged to send an abstract to:
[log in to unmask]
please specify "contributed paper" in the subject field together with the
name and the e-mail of the corresponding author in the accompanying message.
Important deadlines:
January 15th: Submission of contributed papers
February 28th: Notification of decisions on contributed papers
March 31st: Registration
May 15th: Late registration
A preliminary list of invited speakers includes:
David Cox
Martin Crowder
Philip Hougaard
Geert Molenberghs
Irini Mustaki
Sharon-Lise Normand
James Robins
Nanny Wermuth
The organizers: Antonio Forcina, Mounir Mesbah, Mei-Ling Tee Lee
The local organizers: Antonio Forcina, Francesco Bartolucci, Elena Stanghellini
More information can be found at the wep page of the conference
http://www.stat.unipg.it/forcina/shlav/shlav.html
For further enquiry you may also write to any of the local
organizers.
**********************************************
Elena Stanghellini
Dipartimento di Economia Finanza e Statistica
Sez. Statistica - Via A. Pascoli - C.P. 1315 Succ. 1
06100 Perugia (Italy)
Tel +39 075 5855229 or 5855242
Fax +39 075 5855950
email: [log in to unmask]
home page: http://www.stat.unipg.it/stanghellini
**********************************************
=========================================================================
Date: Mon, 7 Nov 2005 09:30:27 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
Dear Allstaters,
Please find below a reminder about next Wednesday's RSS Leeds/Bradford
Local Group Meeting. Further details can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
All welcome!
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Wednesday 16 November, 4pm, Roger Stevens Building LT12,
University of Leeds (tea from 3.30pm on Level 9 of the School of
Mathematics)
Denise Lievesley (Health and Social Care Information Centre, Leeds)
The Role of an International Statistician
Statisticians working internationally, usually employed by
international, supra-national or bilateral agencies, face a range of
problems as they try to `make a difference' to the lives of the poorest
people in the world. One of the most difficult is the dilemma between
open accountability and national sovereignty especial in relation to
performance indicators such as the millennium development goals. This
presentation will raise consciousness of the role of statisticians
employed in the international context, explaining some of the
constraints under which they work, addressing principles which ought to
govern the activities of statisticians generally and evaluating the
relevance of such principles to international statisticians in
particular.
=========================================================================
Date: Mon, 7 Nov 2005 09:30:56 +0000
Reply-To: Chris Rogers <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Rogers <[log in to unmask]>
Subject: JOB: Medical Statistician (Bristol)
Comments: cc: Annette Clarke <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; format=flowed
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Job Reference: 092LCL
Job Title: Senior Statistician (Clinical Scientist Grade B 14-16)
Hospital: Southmead Hospital
Location: Education Research & Development
Salary: =A328,920 - =A331279 pa
Hours: full time
Closing Date: 10 November 2005
An experienced medical statistician is required to take responsibility for=20
providing high quality statistical advisory services, support and training=20
for clinical researchers in acute care in North Bristol NHS Trust and for=20
primary care and mental health Trusts in the North Bristol geographic area. =
The post holder will also work occasionally with the Senior Statistician at =
the other local Acute NHS Trust (United Bristol Healthcare Trust (UBHT)),=20
or cover for this statistician during holidays and other beaks or when=20
workload or specialist expertise requires this to ensure a full and=20
accessible statistics service across all Bristol Healthcare Trusts.
For informal enquiries please contact Nicola Coe on 0117 959 5386; or=20
email: [log in to unmask]
Please visit our website to apply on line; or phone (0117) 9596065
=========================================================================
Date: Mon, 7 Nov 2005 09:54:33 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Re: RSS Consultancy Skills Course
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
Please note that information about course fees and a booking form can be
obtained from Paul Gentry at the RSS ([log in to unmask])
-----Original Message-----
From: Allstat On Behalf Of shirley coleman
Posted At: 06 November 2005 22:17
Posted To: RSS Allstat Mailbox
Conversation: RSS Consultancy Skills Course
Subject: RSS Consultancy Skills Course
=20
************************************************************************
****************************************************************
Consultancy Skills
A one-day training workshop for statisticians
Tuesday December 13 2005
To be held at RSS, 12, Errol Street, LONDON
A highly participative workshop for statisticians who wish to improve
their ability to help non-statistical clients. Discussions and
interactive exercises will allow participants to explore the
non-statistical issues that can undermine effective consultancy.
Objectives:
1. To review the many context-related and inter-personal difficulties
that statisticians may encounter during consultancy interactions.
2. To offer models or theories or paradigms, which shed light on why
these difficulties arise.
3. To indicate which ways of working might be most effective with
various clients.
Programme
10:00 Registration and coffee
10:30 "Introduction"
Roland Caulcutt (Statistical consultant)
The statistical consultant advises his/her client on the collection,
analysis and interpretation of data, in a particular context How do
the roles of statistician and client differ and how well does the
statistician need to understand the client and the context in order to
add maximum value?
11:00 "A journey to more effective consultancy"
Marie South (Statistical consultant)
Whether you are working as an individual, or as part of a team,
developing your consultancy skills is a journey. In this session we
will build on the day's learning by looking together at some of the key
stages on that journey, and ways to lighten the load a little en route.
11:45 "Do you know what clients really want?"
Roland Caulcutt=20
If a statistician assumes that a client's only need is statistical
advice or data analysis, then he or she is unlikely to understand the
difficulties that arise in the consulting relationship. Many
psychologists have shed light on the needs that people have within the
workplace. An understanding of these needs can help consultants to
avoid resistance.
12:45 Lunch
13:45 "Communication between statistician and client"
Julie Bullen (Organisational psychologist)
It has been demonstrated that communication is much easier if
statistician and client have similar personality types. What
difficulties are you likely to have with different types? To discover
your personality type go to http://www.humanmetrics.com
<http://www.humanmetrics.com/> , or http://www.personalitypathways.com.
In the workshop we will discuss the difficulties you are likely to
encounter and propose some ways of addressing these.
15:30 Tea
15:45 "The statistician, the client, data and decisions"
Roland Caulcutt
Many successful organisations claim to have developed a
management-by-fact culture. Do managers find it easy to base decisions
on data? Can statisticians help them? An interactive business
simulation will highlight some of the illusions that surround
managing-by-fact.
16:45 Closing discussions
17:15 End of workshop
For further information and to register, please visit www.rss.org.uk
************************************************************************
************************************************************************
*******************
______________________________________________________________________
This email has been scanned by the MessageLabs Email Security System.
For more information please visit http://www.messagelabs.com/email
______________________________________________________________________
=========================================================================
Date: Mon, 7 Nov 2005 10:56:01 +0000
Reply-To: Paula Williamson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paula Williamson <[log in to unmask]>
Subject: Job: Permanent L/SL in Medical Statistics, Liverpool
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; format=flowed
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
THE UNIVERSITY OF LIVERPOOL
CENTRE FOR MEDICAL STATISTICS AND HEALTH EVALUATION
& CR-UK LIVERPOOL CANCER TRIALS UNIT
LECTURER/SENIOR LECTURER IN MEDICAL STATISTICS
Initial salary within the range =A325,633 - =A349,115 pa
The CR-UK Liverpool Cancer Trials Unit (LCTU) is committed to building upon =
its success in the coordination of national and international cancer trials =
for which we have developed particular expertise.
This post is to strengthen the statistical aspects of the work undertaken=20
within the LCTU. The postholder will collaborate with senior researchers in =
planning new projects including grant applications and develop a personal=20
programme of methodological and/or applied research.
The post-holders should have an MSc or PhD in medical or applied=20
statistics, be able to work independently as well as part of a team, and=20
have effective interpersonal skills.
Enquiries to Professor Paula Williamson on 0151-794-4760, email:=20
[log in to unmask], or Professor John Neoptolemos, on 0151-706-4175, email:=20
[log in to unmask]
Closing Date: 30th November
Further particulars and details of the application procedure should be=20
requested from the Director of Personnel, The University of Liverpool,=20
Liverpool l69 3BX on 0151 794 2210 (24 hr answerphone) email:=20
[log in to unmask] or are available online at=20
http://www.liv.ac.uk/university/jobs.html
=========================================================================
Date: Mon, 7 Nov 2005 12:25:47 -0000
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Intraclass correlation coefficient
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
Hi everyone,
Can anyone recommend a good, clear text which deals with the intraclass
correlation coefficient and gives some worked examples?
Many thanks,
Kim
=========================================================================
Date: Mon, 7 Nov 2005 12:46:01 +0100
Reply-To: "Coolen - van Will, L." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Coolen - van Will, L." <[log in to unmask]>
Subject: EURANDOM Workshop on "Economics and Finance of Extremes",
December 12 and 13, 2005
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
ANNOUNCEMENT
WORKSHOP
December 12 & 13, 2005
"The Economics & Finance of Extremes" to be held at EURANDOM, =
Eindhoven, The Netherlands.
http://www.eurandom.tue.nl/workshops/2005/Economics/economics_main.htm
The probabilistic and statistical theory of extreme values and heavy =
tails has developed vigorously in the last decades. Various types of =
economic and financial data have been found to exhibit heavy tail =
features and extreme value theory has been successfully applied to =
economic problems. For example, Pareto's work initiated the statistical =
work on the heavy tail nature of income and firm size distributions; =
more recently, elegant use was made in finance of statistics of extreme =
values in Value-at-Risk estimation and lately multivariate EVT has been =
instrumental for the estimation of systemic risk. While many economic =
data apparently are heavy tailed and do exhibit stronger =
interdependencies than the multivariate normal model would suggest, the =
financial and economics literature that explains these data features is =
scarce. Recently researchers from various fields such as probability =
theory, mathematical physics, and financial economics have produced =
interesting novel explanations.
It is the aim of this workshop to bring together a small group of high =
profile researchers who work on the (probabilistic) explanations of =
extremes-related phenomena in economics and finance, like heavy tailed =
distributions, or the tail behaviour of economic data in general. Apart =
from the question concerning the typical univariate tail behaviour of =
financial data, the workshop focuses on multivariate tail properties and =
their economic foundations. This analysis might explain why specific =
(tail) copulas should occur or why boundaries of the support of a =
distribution have certain features. We hope that this workshop will =
increase the understanding of the probabilistic properties of extremes =
of economic and financial datasets and will lead to improved statistical =
models.
SPEAKERS
1 hour Presentations
X. Gabaix (MIT), E.V. Khmaladze (Victoria University),3. S. Resnick =
(Cornell), R. Stanley (Boston)=20
=BD hour Presentations
S. Huang Poon (Manchester), L. De Haan (EUR), T. Mikosch (Copenhagen), =
J. Einmahl (Tilburg), J. Perry (FED, Boston), C. van Marrewijk (EUR), =
Deyuan Li (Bern), Y. Malevergne (University of Lyon-ISFA), N. Hyung =
(University of Seoul/Tinbergen Institute)
For more information contact : Prof.dr. J.H.J. Einmahl =
([log in to unmask]), Universiteit van Tilburg, Prof.dr. C.G. de Vries =
([log in to unmask]), Erasmus Universiteit Rotterdam For registration: =
http://www.eurandom.tue.nl/feedback-forms/mail-formEconomics.html
=========================================================================
Date: Mon, 7 Nov 2005 12:29:08 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Credit Risk Analyst =?ISO-8859-1?Q?=96?= Credit Risk role
with Financial Organisation
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hello All,
My client, part of one of UK=92s largest financial organisations seeks=20
Credit Analysts to perform a range of analysis. The purpose of your role=20
will be to improve lending and credit decisions by interpreting data. You=20
will then be required to make judgements and make recommendations in=20
accordance with your findings.=20
You may additionally be expected to take ownership of selected projects=20
and communicate solutions to these to senior line management. You will=20
have a degree in a numerate, statistical or econometric discipline grade=20
2:1 or above, ideally partnered with 2 years commercial analytical=20
experience working for a financial organisation.=20
You should be able to demonstrate understanding of the following=20
statistical packages; SAS, SPSS, S-Plus, SQL or similar and you should be=20
able to perform analysis using the following statistical techniques such=20
Time Series, Clustering analysis, Regression analysis, Multivariate=20
analysis or similar. Call today to arrange an interview!
Location: Scotland - Edinburgh
Salary: Negotiable up to c.=A328K + Excellent Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9031/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Mon, 7 Nov 2005 12:32:45 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Credit Analyst all levels =?ISO-8859-1?Q?=96?= apply your
Credit skills to Risk
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hi All,
An exciting opportunity has arisen for a number of Credit Analysts to join=20
this newly created Credit team. The company is undergoing some change and=20
is therefore seeking people with the right personality and skills to=20
perform critical analysis in the decision making process. Additionally you=20
will have experience Modelling and building Scorecards for to manage the=20
Credit process. You may be involved in any number of areas ranging from=20
new customer development and management to arrears control.=20
You should have a background in Finance preferably with at least a year in=20
Credit Risk and have been educated to degree level in a numerate=20
discipline classification 2:1 or above. You will be proficient using any=20
number of statistical packages including SAS, SPSS, S-Plus, SQL or=20
similar. You will also need to demonstrate an understanding of the=20
Statistical techniques used in the credit process these include techniques=20
such as Time Series, Clustering analysis, Regression analysis,=20
Multivariate analysis or similar. For more information or to apply, call=20
today!
Location: Yorkshire
Salary: Junior negotiable up to =A328K =20
Senior negotiable up to =A345K
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9030/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Mon, 7 Nov 2005 15:52:35 +0200
Reply-To: Fouskakis Dimitris <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fouskakis Dimitris <[log in to unmask]>
Subject: How would you analyse these data?
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-7"
Content-Transfer-Encoding: 7bit
Dear List,
I am facing the following problem and I would like your opinion about
analysing these kind of data.
I have a dataset of 103 kids, that they belong to two different groups
(pre-term, full-term) and we measure a kind of suppression in both ears. I
want to see weather or not the group variable is a risk factor of
suppression.
A) How would you analyse these data?
1) Multivariate regression
2) Random Effects model?
3) Fixed effects model?
4) Generalized Estimating Equation?
5) Analysing every ear separately?
6) Use as your outcome a summary of both ears (e.g. the mean)?
B) I am using STATA to analyse the data, and my initial idea was to perform
a random effects regression. After asking for mle estimates in the random
effects regression, the standard deviation of the kids effect is almost
zero, thus the estimates are almost like the OLS. Any idea what does this
mean?
Thanks for your help.
Dimitris
----------------------------------------------------------
Dr. Dimitris Fouskakis
Department of Mathematics
National Technical Univ. of Athens
Zografou Campus, Athens 15780
Greece
Tel.: +30 210 772 1702
Fax: +30 210 772 1775
-----------------------------------------------------------
=========================================================================
Date: Mon, 7 Nov 2005 15:55:44 +0200
Reply-To: Fouskakis Dimitris <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fouskakis Dimitris <[log in to unmask]>
Subject: Fw: How would you analyse these data?
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-7"
Content-Transfer-Encoding: 7bit
Dear List,
I am facing the following problem and I would like your opinion about
analysing these kind of data.
I have a dataset of 103 kids, that they belong to two different groups
(pre-term, full-term) and we measure a kind of suppression in both ears. I
want to see weather or not the group variable is a risk factor of
suppression.
A) How would you analyse these data?
1) Multivariate regression
2) Random Effects model?
3) Fixed effects model?
4) Generalized Estimating Equation?
5) Analysing every ear separately?
6) Use as your outcome a summary of both ears (e.g. the mean)?
B) I am using STATA to analyse the data, and my initial idea was to perform
a random effects regression. After asking for mle estimates in the random
effects regression, the standard deviation of the kids effect is almost
zero, thus the estimates are almost like the OLS. Any idea what does this
mean?
Thanks for your help.
Dimitris
----------------------------------------------------------
Dr. Dimitris Fouskakis
Department of Mathematics
National Technical Univ. of Athens
Zografou Campus, Athens 15780
Greece
Tel.: +30 210 772 1702
Fax: +30 210 772 1775
-----------------------------------------------------------
=========================================================================
Date: Mon, 7 Nov 2005 14:02:43 +0000
Reply-To: Helen Parker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helen Parker <[log in to unmask]>
Subject: Research Students' Conference 2006 (Glasgow)
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
29th Annual Research Students' Conference in Probability and Statistics
(RSC2006)
20th - 23rd March, 2006
Glasgow, Scotland
Attention: Postgraduates, Postgraduate Supervisors, Heads of Department
This is a preliminary announcement for RSC2006, the 29th Annual
Research Students' Conference in Probability and Statistics - the
conference organised by postgraduates for postgraduates.
RSC is an annual event designed to give postgraduate students in all
areas of probability and statistics an appropriate forum to present
their research and to listen to talks in related topics. It provides
an excellent opportunity for postgraduates to discuss their work with
fellow students and make contacts for the future.
Date: Monday 20th - Thursday 23rd March 2006
Venue: University of Glasgow, Scotland
Further information is available at:
http://www.stats.gla.ac.uk/rsc2006, or email [log in to unmask]
Registration is not currently open. We anticipate that online
registration will be available early December. Numbers are limited
so please register early.
Kind Regards,
RSC2006 Organisers
=========================================================================
Date: Mon, 7 Nov 2005 16:01:02 +0000
Reply-To: Prof Jonathan Crook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Prof Jonathan Crook <[log in to unmask]>
Subject: JOB: Post Doc Fellowship Consumer Credit Risk
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Management School and Economics
Credit Research Centre
Quantitative Financial Risk Management Centre
Research Fellow
=20
A postdoctoral Research Fellow position is now available for an EPSRC-
funded project to develop advanced models of individual customer risk in=20
the retail financial services sector.
The Quantitative Financial Risk Management Centre is a collaboration =20
between the University of Edinburgh, Imperial College London, and the=20
University of Southampton. Baseline funding provides for a postdoctoral=20
research fellow at each site, with further posts supported by other bodies.
The Research Fellow at Edinburgh will work under the direction of=20
Professor Jonathan Crook, and will be expected to have a sound grounding=20
in statistics, machine learning, or a closely related discipline, and to=20
have solid computational skills.
=20
Fixed term: 3 year
Salary range: =A320,044-=A327,929 =20
Closing date: 25 November 2005=20
Further details at the Credit Research Centre website:=20
http://www.crc.man.ed.ac.uk
For informal discussion contact Professor Jonathan Crook at =20
[log in to unmask]
Tel (+44) (0)131 650 3802
For an application form telephone the University of Edinburgh recruitment=20
line on (+44) (0)131 650 2511 or download it from=20
http://www.jobs.ed.ac.uk. Please complete the form and return it to Mrs=20
Elizabeth Andrews, The Management School & Economics, William Robertson=20
Building, 50 George Square, Edinburgh EH8 9JY by the closing date of 25=20
November 2005.=20
For those who wish to apply on-line, please follow the on-line application=20
procedure at http://www.jobs.ed.ac.uk.=20
=========================================================================
Date: Mon, 7 Nov 2005 17:17:40 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Phase I Statistician (possible work from home)
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - Phase I Statistician (possible work from home)
=20
Salary: EURO - 65-75 ph, DOE=20
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
I have an open position for a statistician with an expertise in the
Phase I arena to join a team for an initial 6 months. The role will
involve working within a small, locally run team and will be extended
for a further 12 months depending on the success of the initial period.
Candidates require 4+ years in clinical statistics with extensive
knowledge of phase I trials. Candidates must speak fluent English and
have good SAS knowledge. There will be flexibility for candidates to
operate a proportion of the contract from home.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv-4270'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 7 Nov 2005 18:14:11 -0000
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: Break into Biostatistics - PhD / MSc Graduates
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
PhD/MSc Graduate Sought For Leading International Pharmaceutical
Organisation
SEC are retained to recruit a motivated graduate-level Statistician into one
of the pharmaceutical industries leading companies. The appointment is
within their European Biostatistics Division and is based in the South East
of the UK. Full details of the client and location will be available on
request.
Ideally we are looking for a PhD Graduate (focus in Medical Statistics) or
alternatively a good MSc Graduate in Medical Statistics. You will couple
your post-graduate qualification with a good first degree, strong
communication and team working skills and a real desire to build a career
within Biostatistics. Candidates with relevant work experience will have a
distinct advantage.
On offer is a excellent starting salary and industry leading benefits
package coupled with a commitment to your personal growth and continuous
career development.
To ensure consideration for this opportunity reply attaching your CV and a
short note detailing your salary expectations and availability.
Alan Brophy
SEC Recruitment, London
Tel: 0207 255 66 00
Fax: 0207 255 66 01
[log in to unmask] <mailto:[log in to unmask]>
SEC are an ISO9001:2000 accredited specialist recruitment company working
within the Pharmaceutical, Biotech and CRO industries. If you are interested
to learn more about further appointments within Biostatistics or Statistical
Programming across the UK and Mainland Europe contact Alan on 020 7 255 6600
for a confidential discussion.
=========================================================================
Date: Tue, 8 Nov 2005 12:13:39 +1100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Petra Graham <[log in to unmask]>
Subject: Job: Statistician - Health Informatics, CSIRO, Brisbane
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Apologies for cross-posting and late notice
Statistician - Health Informatics
Salary: $66K - $90K + Superannuation
Location: Brisbane (Initial 2 years)
Tenure: Indefinite
This position represents a joint appointment between CSIRO Mathematical
and Information
Sciences (CMIS) and the e-Health Research Centre (e-HRC) in the CSIRO
ICT Centre (ICTC),
to enhance the quality and relevance of science in both Divisions.
You will join two high-performing teams. In the first team (80% of your
effort) you will
contribute to developing software for integration, linkage and analysis
of clinical data,
initially for cancer management. In the second team (20%) you will
conduct statistical
analyses of health data and possibly also contribute to strategic
research projects.
To be part of these teams, you will need to have experience in
conducting statistical analyses
and statistical computing and be proficient in at least one standard
statistical software
package. You will be customer-focused and outcome-focused and be able to
effectively
manage your time to meet deadlines. You will be a motivated worker,
comfortable in
different environments and able to facilitate communication and
collaboration between
geographically distant people and organisations.
If you have a postgraduate qualification in statistics (or equivalent
experience) this is an
excellent opportunity for you to contribute to projects in
customer-focused software
delivery and strategic research.
Closing Date: 13 November 2005.
For selection documentation and details on how to apply visit
www.csiro.au/careers or contact Dr Christine O'Keefe by phone=20
+61 2 6216 7021 or email [log in to unmask]
=========================================================================
Date: Tue, 8 Nov 2005 07:06:18 +0000
Reply-To: Ranjeeta Thomas <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ranjeeta Thomas <[log in to unmask]>
Subject: Global Development Network - Open Call for Evaluators
The Global Development Network (GDN) (www.gdnet.org) is a world wide
network of research and policy institutes working together to address the
issues of national and regional development. GDN supports high - quality,
policy- oriented research in the social sciences for the purpose of
development.
At GDN as part of our monitoring and evaluation exercise we are currently
having an 'Open Call for Evaluators' to examine the progress in GDN's
academic quality and policy relevance. The purpose is to reach this
announcement of an open call to as many potential evaluators as
possible.
Please find below the announcement with a link to the complete document on
our website.
Open Call for Evaluators
GDN seeks ten evaluators in the social sciences and various sub-fields to
examine progress in academic quality and policy relevance of working
papers resulting from GDN grants. Qualified researchers who have not
participated in any GDN sponsored activities will individually review
between 10 and 15 papers covering a wide range of studies in their
specific disciplines.
For further details please visit our website:
http://www.gdnet.org/about_gdn/news/evaluation_reports.html
Please do not hesitate to contact me if there is any further information
you would like. We look forward to your reply.
Many Thanks.
Ranjeeta Thomas
=========================================================================
Date: Tue, 8 Nov 2005 09:58:50 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: Master in Mathematical Statistics
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi all,
Just wondering if anyone can tell me where I can find Master course that
deals with the mathematical aspects of statistics and probability. Usually
the Master in Statistics in this country is largely concerned with Applied
stat. Something like the MPhil in Statistical Science in Cambridge would
be great.
Thanks,
Tim
=========================================================================
Date: Tue, 8 Nov 2005 09:55:33 -0000
Reply-To: "Ciraki,D" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Ciraki,D" <[log in to unmask]>
Subject: Re: Global Development Network - Open Call for Evaluators
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I doubt anybody on this list would be interested in evaluting these =
grants given their low-end methodological content, it might be better if =
this is sent to a social-science list, not allstat.
Regards,
Dario
_________________________________________________________________________=
__________________________________________
Dario Cziraky
Department of Statistics
London School of Economics
Houghton Street
WC2A 2AE, London
Tel: +44(0)2079556014
Fax: +44(0)02079557416
http://stats.lse.ac.uk/ciraki
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list on =
behalf of Ranjeeta Thomas
Sent: Tue 08/11/2005 7:06 AM
To: [log in to unmask]
Subject: Global Development Network - Open Call for Evaluators
=20
The Global Development Network (GDN) (www.gdnet.org) is a world wide=20
network of research and policy institutes working together to address =
the=20
issues of national and regional development. GDN supports high - =
quality,=20
policy- oriented research in the social sciences for the purpose of=20
development.
At GDN as part of our monitoring and evaluation exercise we are =
currently=20
having an 'Open Call for Evaluators' to examine the progress in GDN's=20
academic quality and policy relevance. The purpose is to reach this=20
announcement of an open call to as many potential evaluators as=20
possible. =20
Please find below the announcement with a link to the complete document =
on=20
our website. =20
Open Call for Evaluators
GDN seeks ten evaluators in the social sciences and various sub-fields =
to=20
examine progress in academic quality and policy relevance of working=20
papers resulting from GDN grants. Qualified researchers who have not=20
participated in any GDN sponsored activities will individually review=20
between 10 and 15 papers covering a wide range of studies in their=20
specific disciplines.
For further details please visit our website:=20
http://www.gdnet.org/about_gdn/news/evaluation_reports.html =20
Please do not hesitate to contact me if there is any further information =
you would like. We look forward to your reply.
Many Thanks.
Ranjeeta Thomas
=========================================================================
Date: Tue, 8 Nov 2005 14:03:43 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Jobs: Research Opportunities - Australian Centre for Economic
Research on Health (ACERH)
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Australian Centre for Economic Research on Health (ACERH)
>Research Positions and PhD Scholarships
>
>The Australian Centre for Economic Research on Health (ACERH) is a newly
>established, multi-university research centre constituted by researchers
>from The Australian National University (ANU), The University of
>Queensland (UQ) and the University of Western Australia (UWA). The
>Centre's focus is on applied health economics research in three main
>areas: health care financing and insurance; health costs and ageing; and
>the economic burden of illness and injury. (See
><http://www.acerh.edu.au>www.acerh.edu.au for further details.)
>
>Several research positions and PhD scholarships are available at the ANU
>and UQ nodes.
>
>Research Positions: Postdoctoral Fellow/Research Fellow/Fellow/Associate
>Fellow
>Academic Level A, B, D and D (Several Positions)
>Salary Range AUD46,878-AUD95,042 plus 17% superannuation
>
>See: <http://www.acerh.edu.au/vacancies.php>www.acerh.edu.au/vacancies.php
>
>and
>
>PhD Scholarships
>
>See: <http://www.acerh.edu.au/study.php>www.acerh.edu.au/study.php
>
>General enquiries: Contact ACERH Reception: T: +61 02 6125 3688; E:
><mailto:[log in to unmask]>[log in to unmask]
>Academic enquiries: Associate Professor Luke Connelly at The University of
>Queensland E: <mailto:[log in to unmask]>[log in to unmask] or
>Professor Jim Butler at the ANU E:
><mailto:[log in to unmask]>[log in to unmask]
>
>
>
=========================================================================
Date: Tue, 8 Nov 2005 15:29:42 -0000
Reply-To: Martin Roberts <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Martin Roberts <[log in to unmask]>
Subject: Request for real data sets related to forensic science or
criminology
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
Dear all,=20
I am lecturer in a Further Education college and this year I find myself
teaching elementary statistics to students on a National Diploma in
Forensic Science (roughly equivalent to A level but more 'applied'). In
order to try and contextualise the techniques (descriptive statistics,
probability, normal distribution, correlation, regression, contingency
tables & chi-square test) it would help me to have some real-life data
sets related to forensic science, crime or criminal psychology. =20
Does anyone work in any of these areas and have suitable data or any
ideas where I might look (other than the regional crime data available
through the ONS which I've already found)? Data sets that include
continuous measurements rather than counts of qualitative variables
would be particularly useful as obtaining repeat measurements of
technical things like fibre diameters or refractive index of glass is
mostly far too time consuming for the amount of lab time available to
the students.
All offers and suggestions gratefully received.
Apologies for cross-posting
Thanks,
Martin Roberts
=========================================================================
Date: Tue, 8 Nov 2005 15:32:34 +0000
Reply-To: Mirjam Moerbeek <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mirjam Moerbeek <[log in to unmask]>
Subject: New Masters programm Methodology and Statistics at Utrecht
University, the Netherlands
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
On behalf of my colleagues at the Department of Methodology and Statistics=20
at the University of Utrecht, I would like to draw your attention to=20
following (apologies for any cross-posting)
NEW INTERNATIONAL MASTERS PROGRAM =93METHODOLOGY AND STATISTICS FOR SOCIAL=20
AND BEHAVIORAL SCIENCES=94.
( Faculty of Social Sciences at Utrecht University, the Netherlands, taught =
in English)
=20
The aim of this two-year research master is to prepare students to become=20
PhD students involved in developing new methodologies and statistical=20
methods for the social and behavioral sciences, or to become methodologists =
working as advisors at universities and research institutes.
The program consists of advanced courses on methodology and statistics, a=20
traineeship, a master=92s thesis, and research seminars. The instructors are=
=20
fellows of the Dutch Interuniversity Graduate School of Psychometrics and=20
Sociometrics (IOPS).
Further information on this program can be found at =20
http://www.fss.uu.nl/master/mands
Information on practical issues, such as admissions and finances, can be=20
found at the international master=92s website of Utrecht University:=20
http://www.internationalmasters.uu.nl
We would like to ask you to forward this information to any of your=20
bachelor=92s students who might be interested in this program. Students with=
=20
a bachelor degree in the Social or Behavioral Sciences, Statistics,=20
Mathematics, Econometrics, Biometrics, or Information Sciences are welcome=20
to apply. As this master is an international program, we also invite=20
students living outside the Netherlands to apply.=20
=========================================================================
Date: Tue, 8 Nov 2005 16:31:22 +0000
Reply-To: Michaela Cottee <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michaela Cottee <[log in to unmask]>
Subject: SEMINAR: RSS Herts/Beds Local Group
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
Please find below details of the next RSS Herts/Beds Local Group meeting.
Please don't hesitate to contact me for further information.
Regards,
Michaela Cottee
Deputy Chairman, RSS Herts/Beds Local Group
University of Hertfordshire Business School, Hatfield, Herts AL10 9AB
===========================================
SEMINAR: RSS Herts/Beds Local Group
Tuesday 22nd November, 6pm, N003, de Havilland Campus
University of Hertfordshire, Hatfield
(tea from 5.30pm)
Andreza Barbosa (ISMA Centre)
"Managing Risk of Financial Investments"
What are volatility models? How do banks, investors and businesses analyse
and manage financial risk? Why do financial time series have special
statistical properties? These questions will be answered with empirical
data and theoretical models. The objective is to demonstrate the stylised
facts observed in financial series and the latest developments in
volatility models.
ALL WELCOME
=========================================================================
Date: Tue, 8 Nov 2005 17:48:31 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB:Graduate Econometrician=?ISO-8859-1?Q?=92s?= for exciting
opportunity - London
Dear all,
Want to get into the exciting world of media advertising? Based in London
my client is seeking an Econometrician to join their vibrant and creative
team. An advertising agency might not seem the obvious place to start your
career as an Econometrician. However, this post offers you the chance to
apply all your Econometric skills in an environment that is both fun and
intellectually challenging.
You will have the chance to work on a variety of projects, providing
consultancy and advising clients on the effects of their advertising and
marketing. You will be heavily involved in the advertising campaigns and
as such you can expect your name to be in print by early next year.
You should be educated to degree level ideally in Econometrics preferably
at Class 2:1 or above and you should be able to use a variety of
Econometric tools such as E-Views, Microfit, Maple, Anova, Mathematica or
similar. Knowledge of SAS, SPSS, S-Plus would also be an advantage. Call
today to arrange an interview!
Location: London
Salary: Mid Twenties package
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9033/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Tue, 8 Nov 2005 17:51:22 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Experienced Econometrician for London Advertising Agency
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Hi Everybody,
Apply your Econometrics skills to this leading advertising agency. Working=20
for one of the top media agencies in London your Econometric skills and=20
interpersonal skills will be put to the test. You should be comfortable in=20
client facing situations as much of your time will be spent working with=20
clients, advising them on the effects of their advertising.=20
However, in addition to this you should be able to demonstrate your=20
leadership skills. You will have had at least 5 years Econometrics /=20
Analytics experience working in a similar post although not necessarily in=20
advertising.=20
You should be educated to degree level ideally in Econometrics preferably=20
at Class 2:1 or above and a further degree would definitely benefit your=20
application. You should be able to use a variety of Econometric tools such=20
as E-Views, Microfit, Maple, Anova, Mathematica or similar. Knowledge of=20
SAS, SPSS, S-Plus would also be an advantage. Call today to arrange an=20
interview!
Location: London
Salary: to =A345k
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9032/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Wed, 9 Nov 2005 09:28:20 +0000
Reply-To: David Firth <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Firth <[log in to unmask]>
Subject: JOB: Reader in Probability, University of Warwick
Mime-Version: 1.0 (Apple Message framework v623)
Content-Transfer-Encoding: 7bit
Content-Type: text/plain; charset=US-ASCII; format=flowed
UNIVERSITY OF WARWICK
READERSHIP IN PROBABILITY
There is now available a permanent post of Reader in Probability in the
department of Statistics,
http://www.warwick.ac.uk/go/statistics
This post has been created to support the Department's strategy to
reinforce the strong group of probabilists at Warwick. The intention
is to appoint an active researcher, capable of research leadership, who
may have research interests in any area of pure or applied probability.
Further details are available at
http://secure.admin.warwick.ac.uk/webjobs/jobs/academic/job26533.html
Informal enquires may be directed to Professors Wilfrid Kendall
([log in to unmask]), Saul Jacka ([log in to unmask]) or
Jane Hutton ([log in to unmask]).
Interviews will take place in the week of 19 to 22 December 2005.
=========================================================================
Date: Wed, 9 Nov 2005 09:58:31 -0000
Reply-To: Zoe Bennett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Subject: JOB : Senior Statistician/Study Statistician - Pharmaceutical /
Biotech Company
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear All,=20
=20
My client is looking for a Senior Statistician to support the project
statistician, and to act as a project statistician when required. You
will be providing statistical expertise on pre-clinical and clinical
studies as well as on project activities when required.
=20
The role is to be based in the M4 Corridor, package is excellent and
includes both pension and bonus.=20
=20
Details are as follows:-
=20
Ideally looking for candidates with 2-3 years experience of working
within the pharmaceutical industry, or performing statistical analysis
in another industry.
=20
Must have excellent knowledge of SAS and have good technical and
organisational skills and be educated to MSc level (PhD level will be
preferred).
=20
For more information and a full job specification for this position,
please apply by return of this email with your CV attached, or by
contacting me at the number below.=20
=20
Kind Regards=20
Zoe Bennett
Head of Pharmaceutical Division
BLUE PELICAN PHARMA=20
http://www.bluepelicanpharma.com <http://www.bluepelicanpharma.com/>=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
Pelican House, Gibbs Reed Farm, Ticehurst, East Sussex TN5 7HE
Blue Pelican Group provide a professional and ethical recruitment
service. It is our policy not to
distribute any candidate information without prior consent from the
candidate.
All information in this email transmission, including financial and
numerical information, is strictly private and=20
confidential, and subject to change, correction and completion. If you
have received this email in error, please=20
notify the sender and delete the email and all attachments immediately.
This email (including any attachments)=20
may contain confidential or privileged information or both. If you are
not the intended recipient, any reliance on,=20
use, disclosure, dissemination, distribution or copying of this email or
attachments is strictly prohibited.=20
We have checked for viruses, but the contents of an attachment may still
contain software viruses which could=20
damage your computer system. We do not accept liability for any damage
you sustain as a result of a virus=20
introduced by this email or any attachment, and you are advised to use
up-to-date virus checking software.=20
We do not guarantee any email transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance
with the Lawful Business Practice=20
Regulations and the Data Protection Act. Senders of messages shall be
taken to consent to the monitoring=20
and recording of emails addressed to our employees.
=20
=20
=20
=20
=20
=========================================================================
Date: Wed, 9 Nov 2005 10:10:57 +0000
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE CAMBRIDGE STATISTICS DISCUSSION GROUP
MIME-Version: 1.0
Content-Type: MULTIPART/MIXED; BOUNDARY="-559023410-1804928587-1131531057=:763"
This message is in MIME format. The first part should be readable text,
while the remaining parts are likely unreadable without MIME-aware tools.
---559023410-1804928587-1131531057=:763
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THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Wednesday 30th November 2005 7:15 for 7:45
Statistical Laboratory,
Centre for Mathematical Sciences,
Wilberforce Road
Cambridge
Design of experiments and analysis of data
concerning GM crops
Joe Perry, Suzanne Clark Peter Rothery
Rothamstead Research, Centre for Ecology & Hydrology,
Harpenden, Herts Monks Wood
Abstract:
My research on GM crops has largely involved collaboration on the design an=
d=20
analysis of the UK Farm Scale Evaluations of genetically modified=20
herbicide-tolerant (GMHT) crops. Results concerning the effects of herbici=
de=20
management practices on farmland wildlife for three spring-sown crops (beet=
,=20
spring oilseed rape and maize) were published in autumn 2003 and spring 200=
4;=20
results from the fourth crop, winter oilseed rape, were published sometime =
in=20
March 2005. A brief summary will be given of the results published to date=
=2E
Some other GM work will be summarised. Simple mathematical models can be=
=20
used to show how the adverse effects of GMHT systems on the wildlife in sug=
ar=20
beet crops might be mitigated. Another study involved mathematical modelli=
ng=20
of relevance to the issue of coexistence between GM crops and organic or=20
conventional crops; this estimated the land available for planting and how=
=20
this may be affected by the separation distances proposed between GM and ot=
her
crops. Other modelling involves gene flow and demonstrates how decisions=
on=20
separation distances may be critically dependent on assumptions made for=20
long-distance gene flow. Further work is ongoing with Marie Castellazzi=20
(Rothamsted Research) within a 42-partner EU-funded project entitled=20
SIGMEA, in which gene flow models developed in France are to be upscaled to=
=20
the landscape level. A short description will be given of our work in this=
=20
project, to design a landscape simulator.
Speaker:
Joe Perry has worked at Rothamsted Research for twenty-nine years, research=
ing=20
quantitative methods applied to ecology. He spent 16 years in the Statisti=
cs=20
Department, and moved to his current Division, of Plant & Invertebrate Ecol=
ogy
in 1993. For many years he has researched methods of detecting spatial=
=20
pattern, and his SADIE system is used increasingly to measure clusters in t=
he=20
form of patches and gaps in abundance and to quantify spatial association.
He was awarded a DSc degree by the University of Reading in 1989 and since=
=20
1994 he has been Visiting Professor of Biometry at the University of Greenw=
ich.
He is currently President of the British Region of the International=20
Biometric Society.
His work on GM began in 1999 when he teamed up with Peter Rothery and=20
Suzanne Clark as part of the Consortium formed to undertake the UK=92s Farm=
=20
Scale Evaluations (FSE) of Genetically Modified Herbicide-Tolerant crops.=
=20
The FSE studied the effect of herbicide tolerant systems of management on=
=20
farmland wildfile. They became the biggest study of the environmental impa=
ct=20
of GM crops conducted anywhere in the world and represented the only time t=
hat
scientists have evaluated the environmental impact of a new farming pract=
ice=20
in the UK before its introduction. When not at work Joe enjoys singing and=
=20
playing cricket.
Directions:=20
The main entrance is reached from Clarkson Road by going along the=20
footpath to the right of the Newton Institute, and turning left through the
gatehouse towards the main building (Pavilion A), which has a glass front a=
nd
a curved grassed roof. The main entrance is in the middle of the glass=20
front. Coffee before the talk will be in the common room in Pavilion D,=20
and the talk will be in Meeting Room 5 in Pavilion A. Free Parking is=20
available after 5pm on Clarkson and Wilberforce Roads.
Next Meetings (2006):=20
1st February - Stephen Duffy (Cancer Research UK).
13th March - Ian White (Biostatistics) on 'Analysing imperfect randomised=
=20
trials'.
3rd April - Rebecca Turner (Biostatistics).
4th May - Adam Kleczkowski (Plant Sciences).
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 6pm. Feel free to join them.
Subscriptions: of 4 pounds per attender are now due for the 2005-2006 sessi=
on.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,=20
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;=20
E-mail [log in to unmask]
---559023410-1804928587-1131531057=:763--
=========================================================================
Date: Wed, 9 Nov 2005 10:41:11 -0000
Reply-To: "Khayat, Etienne" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Khayat, Etienne" <[log in to unmask]>
Subject: Normalisation
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Hi,
I am faced with following case and would very gratefully need advice about
the correctness of my judgment.
I have 2 sets of events. A1, A2, A3 (disjoint) and B1, B2, B3 (disjoint)
where the sum of the probabilities of the A events is 1 and those of the B
events are one. Sum P(Ai)=1 and Sum P(Bi)=1, where i=1,2,3
The A and B events jointly occur where P(Ai,Bj)=P(Ai)*P(Bj).
Case 1: Occurs when all possible joining of A events and B events can occur,
hence the sum of probabilities of all joint events is 1 (Sum P(Ai,Bj)=1).
i=1,2,3 and j=1,2,3
Case 2: there has been some constraints that prevent certain joining of
events. Say (A2 and B3), and (A1 and B1) cannot occur simultaneously. Now
the Sum P(Ai,Bj)=1), for all possible joining, is less than 1.
What I would like to do is to compare some probabilities in two situations,
one based on Case 1 and the other on Case 2. However, Case 2 sample space
has a probability of less than 1, and the probabilities in the situation
based on Case 2 will be less than those based on Case 1.
Will it be correct to normalize the joint probabilities in Case 2 so that
they add up to 1 then compare them to those in the situation based on Case
1?
Can someone please advise me about this?
Best Regards
Etienne
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Date: Wed, 9 Nov 2005 11:12:18 +0000
Reply-To: Alison Stacey <[log in to unmask]>
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<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Credit Analyst, Risk Analyst, Credit Risk Analyst - Yorkshire
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Content-Type: text/plain; charset=ISO-8859-1
Hello All,=20
An excellent opportunity has arisen to join this up and coming industry.=20
My client, a large utilities company based in the Yorkshire area seeks a=20
Risk Analyst to join their expanding team. This company is involved in all=20
aspects of the industry from exploration and research to distribution and=20
supply. You will be involved in the commercial / industrial side of the=20
business ensuring that customers are kept informed about energy issues. =20
You should understand a range of complex analytical techniques such as=20
Regression, Time Series, Data Mining or similar. Your responsibilities=20
will include the validation and audit of risk reports, as well as=20
calculating the weekly risk position and reporting this to senior=20
colleagues. =20
From your findings you will need to communicate sensible suggestions on=20
how to reduce the risk exposure the business faces. You should be familiar=20
with a variety of Statistical packages such as SAS, S-Plus, SPSS or=20
similar. Ideally you will have had at least 3 years commercial experience=20
working in the energy industry or have worked in credit risk and be able=20
to apply your skills to this. Although, candidates with a further degree=20
i.e. MSc or PhD in a numerical subject will be considered. Call today for=20
immediate interview!
Location: Yorkshire
Salary: to =A330k depending on experience
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9034/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Wed, 9 Nov 2005 11:39:58 +0000
Reply-To: Natalie Fforde <[log in to unmask]>
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<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: Graduate Marketing Statistician
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HAVE YOU RECENTLY GRADUATED OR LOOKING FOR A MOVE??? MARKET RESEARCH=20
STATISTICS IS INTERESTING , MOTIVATING , CAREER ENHANCING AND AMBITIOUS
Summary of Role: A global market research agency with over 60 offices in=20
40 countries is seeking a Statistics / Economics graduate to take on an=20
executive role within their Statistics & Sampling department, based in=20
Warwick, the Midlands. =20
Information on Client: An innovative leader within their field, this=20
market research company specialises in helping clients - many of them blue=20
chip companies - maximise their brand performance, health and equity. =20
They optimise companies' media, advertising, PR and other communications=20
to their fullest potential. Curring running over 1,000 Advanced Tracking=20
Programs (ATPs), they have conducted over 30,000 Link copytests, completed=20
more than 11,000 brand dynamics projects and modelled over 450 brand=20
sales. Their web-based projects run into thousands. Benefits=20
available.=20
Job Role:
You will be primarily responsible for=20
=B7 Taking a proactive role in the conducting and reporting of=20
econometric modelling analyses carried out on behalf of the company's=20
major clients
=B7 Attending to the modelling needs of a number of key clients,=20
examining the effects of advertising, pricing, promotion and other factors=20
in order to inform important decision-makers and provide input for=20
clients' marketing strategy
=B7 Giving input on the Sales modelling approach for each project
=B7 Generating meaningful insights from data
=B7 Working closely with Client Service executives and providing high=20
added-value service to their clients
=B7 Ensuring that appropriate recommendations are communicated to the=20
client
=B7 Keeping up-to-date with company methodologies and R&D initiatives=20
and communicating these externally
=B7 Resolving problems
=B7 Exposure to the analysis of large scales survey projects
Minimum Requirements:
Degree in Statistics, Economics, or Econometrics
3-5 years' relevant experience, market research preferred.
Understanding and application of time-series and regression analysis=20
within statistical software packages
Advertising and price modelling experience would be helpful, but are not=20
essential
Experience of dealing with/presenting to clients advantageous
Professional and enthusiastic
Good client service orientation and comfortable with giving consultancy=20
advice
An innovative problem solver
Good listener
Able to communicate details in everyday language
A people person
Flexible
Unique Benefits: This is a prime opportunity to enter a global market=20
research company. =20
Keywords: Statistical Executive / Statistical Manager / Statistics /=20
Economics / Econometrics / Market Research / Market Analysis / Statistical=20
Analysis / Marketing / Market Statistics / Market Research / Advertising /=20
Price Modelling / Econometric Modelling / Marketing Consultant / Marketing=20
Consultancy /
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
=20
www.fforde-management.com
=20
This transmission has been issued by Fforde-Management Ltd for the=20
information of the addressee only and should not be reproduced and / or=20
distributed to to any other person. Unless otherwise agreed in writing,=20
any CV or Candidate details attached hereto must be read in conjunction=20
with, and are subject to, Fforde-Management's Standard Terms of Business. =20
Its contents are based on information obtained from sources believed to be=20
reliable but Fforde-Management makes no representation and accepts no=20
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Wed, 9 Nov 2005 12:47:29 -0000
Reply-To: Zoe Bennett <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Subject: JOB:- Biostatistics Section Manager, North England
MIME-Version: 1.0
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Dear All,=20
=20
My client is looking for a Biostatistics Section Manager. This role =
will report into the Head of Biostatistics and will involve working on =
Preclinical and early phase trials.
=20
Experience required includes:-
=20
Line management (training and career development of staff, project =
management)
SAS Programming skills, including peer review of SAS Code, development =
of statistical software,=20
Statistical consultancy and peer review=20
Proven Management ability
Excellent Communication skills
=20
Package and remuneration is excellent - offering target bonus, generous =
salaries and excellent relocation package.=20
For more information and a full job specification for this position, =
please apply by return of this email with your CV attached, or by =
contacting me at the number below.=20
Kind Regards=20
Zo=EB Bennett
Head of Pharmaceutical Division
BLUE PELICAN PHARMA=20
http://www.bluepelicanpharma.com <http://www.bluepelicanpharma.com/>=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
Pelican House, Gibbs Reed Farm, Ticehurst, East Sussex TN5 7HE
Blue Pelican Group provide a professional and ethical recruitment =
service. It is our policy not to
distribute any candidate information without prior consent from the =
candidate.
All information in this email transmission, including financial and =
numerical information, is strictly private and=20
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=========================================================================
Date: Wed, 9 Nov 2005 14:31:07 +0100
Reply-To: Chris Klaassen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Klaassen <[log in to unmask]>
Subject: WORKSHOP: Statistics for Biological Networks, EURANDOM
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Dear Colleagues,
We would like to call your attention to the workshop "Statistics for
Biological Networks", which will take place from the 16th to the 18th
of January 2006 at EURANDOM in Eindhoven, The Netherlands. Detailed
information on the list of invited speakers and on logistics may be
found at the workshop website:
http://euridice.tue.nl/~frigat/sbn.htm
The main topics of the workshop are:
* Gene Regulatory Networks,
* Statistical Analysis of Neuronal Data,
* Graphical Models and Bayesian Networks.
The deadline for applications to participate as a contributed speaker
or as a poster presenter is December 1st, 2005. Although we primarily
expect contributions focussed on the three main topics of the
workshop, we will also consider applications more loosely connected
with these main themes.
Looking forward to see you in Eindhoven!
Best regards
The organising committee: Mathisca de Gunst
Richard Gill
Chris Klaassen
Nadia Lalam
Fabio Rigat
Download this as a file
=========================================================================
Date: Wed, 9 Nov 2005 17:22:54 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - PK/PD Phase I Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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CONTRACT - PK/PD Phase I Statistician
=20
Salary: EURO 75ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
My client requires a free lance specialist to offer expertise in
statistical planning and evaluation of Pharmacokinetic/pharmacodynamic
(PK/PD) analysis. You will require an excellent understanding of the use
of statistical methods including experience with population PK, PK/PD
studies and clinical trial simulations. The candidate should also bring
experience in the preparation of regulatory documents (i.e., IND's,
NDA's) together with a good knowledge of the relevant regulatory
guidelines, such as FDA, EMEA, and ICH. The contract will be for an
initial 12 months which is due to run from the start of Jan 06.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv-4185'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
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Date: Wed, 9 Nov 2005 17:56:00 +0000
Reply-To: sarah priestman <[log in to unmask]>
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<[log in to unmask]>
From: sarah priestman <[log in to unmask]>
Subject: unsubscribe
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please could you remove my email address off the allstat mailing list.
Thanks
Sarah
_________________________________________________________________
Browse smarter with tabs - get the all-new MSN Toolbar!
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Date: Thu, 10 Nov 2005 09:19:20 -0000
Reply-To: K F Pearce <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: K F Pearce <[log in to unmask]>
Subject: Intraclass Correlation Coefficient : References
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Hello everyone,
Thank you to all who replied to my request for information on the
Intraclass Correlation Coefficient. Here are some useful references:
PAPERS
Cohen J. "A Coefficient of agreement for nominal Scales". Educational
and Psychological Measurement 1960; XX (1):37-46.
Fleiss JL, Cohen J. "The Equivalence of Weighted Kappa and the
Intraclass Correlation Coefficient as Measures of Reliability".
Educational and Psychological Measurement 1973; 55:613-619.
McGraw and Wong (1996). Psychological Methods 1(1):30-46
BOOKS
"Statistical Methods for rates and proportions"
by J.L.Fleiss
Kirkwood and Sterne, Essential Medical Statistics, Blakwell, second
edition 2003.
Chapter 1 of Fleiss JL Design and Analysis of Clinical Experiments=20
"Health Measurement Scales, A Practical Guide to their Development and
Use"=20
by DL Streiner and GR Norman
WEB LINKS:
=20
http://www.pbarrett.net/statistics_corner.htm
entitled: Interrater Reliability: Definitions, Formulae, and Worked
Examples.
http://www.ats.ucla.edu/stat/spss/library/whichicc.htm
http://www2.chass.ncsu.edu/garson/pa765/reliab.htm
Kind Regards,
Kim
=========================================================================
Date: Thu, 10 Nov 2005 10:10:19 +0000
Reply-To: Peter Lynn <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Lynn <[log in to unmask]>
Organization: University of Essex
Subject: Deadline Approaching: Methodology of Longitudinal Surveys
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
In-Reply-To: <[log in to unmask]>
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Reminder: the deadline for submitting abstracts of contributed papers=20
for MOLS2006 is just 3 weeks away.
> Call for Contributed Papers
>
> Methodology of Longitudinal Surveys
>
> International Conference to be held at the University of Essex,=20
> Colchester UK
>
> 12-14 July 2006
>
> Conference website: http://www.iser.essex.ac.uk/ulsc/mols2006
>
> Submissions are invited for contributed papers to be presented at the=20
> conference, Methodology of Longitudinal Surveys (MOLS 2006). The=20
> conference is sponsored by the International Association of Survey=20
> Statisticians (IASS) and the UK Economic and Social Research Council=20
> (ESRC). The contributed papers programme will complement the programme=20
> of approximately 20 monograph papers, which have already been chosen=20
> following an earlier call for submissions. Preliminary titles of=20
> monograph papers are listed on the conference website.
>
> Contributed papers should address important methodological topics in=20
> the design, implementation or analysis of longitudinal surveys. The=20
> focus is primarily on surveys that involve collecting data from=20
> subjects on multiple occasions. The subjects could be individuals,=20
> households, businesses or other establishments. Note that the=20
> conference is concerned with the methods used by such surveys, not=20
> with the substantive findings. Topics of interest include, but are=20
> not limited to, the following:
>
> =B7 Sampling for longitudinal surveys, including sample rotation=
,=20
> refreshment sampling and methods for dealing with population births=20
> and deaths;
> =B7 Sample management procedures and methods for tracing sample=20
> members over time and maintaining contact with sample members;
> =B7 Design methods for meeting dual requirements for longitudina=
l=20
> and cross-sectional estimates;
> =B7 Instrument design for longitudinal surveys, including the us=
e=20
> of dependent interviewing;
> =B7 The effects of using different modes of data collection at=20
> different waves, multiple modes or changing modes;
> =B7 Issues in the collection of data from multiple members of a=20
> sampling unit (e.g. household, business), including the use of=20
> different respondents at different waves;
> =B7 Methods for minimising sample attrition;
> =B7 Assessment of non-response bias (unit and item) on=20
> longitudinal surveys;
> =B7 Adjustment methods for non-response and attrition, including=
=20
> weighting;
> =B7 Imputation and other methods for dealing with item missing=20
> data, especially wave non-response;
> =B7 Respondent conditioning, seam effects and other measurement=20
> error issues specific to longitudinal surveys;
> =B7 Methods for estimating measurement error that are unique to=20
> panel data;
> =B7 Use of administrative data to enhance longitudinal surveys;
> =B7 Methods for disclosure avoidance and privacy protection in=20
> the release of longitudinal data files;
> =B7 Ethical issues on longitudinal surveys, including=20
> confidentiality and consent;
> =B7 Variance estimation for panels, rotating panels and other=20
> complex designs;
> =B7 Analysis methods specific to repeated measures or duration=20
> and event data;
> =B7 Analysis of longitudinal survey data under complex designs=20
> and informative sampling;
> =B7 Nonsampling and sampling errors in panel data analysis;
> =B7 Other issues in the analysis of longitudinal survey data.
>
> Contributed papers may provide a review of research and practice in a=20
> particular methodological area or present the findings of new=20
> methodological research. Submissions will be screened by the MOLS 2006=20
> scientific committee, who will select papers that address relevant=20
> topics and collectively provide a balanced programme. There is also an=20
> opportunity for suitable contributed papers to be considered for=20
> inclusion in a special issue of the Journal of Official Statistics=20
> (JOS). Details of the process for submission to JOS will be made=20
> available once the conference papers have been chosen.
>
> Submissions should consist of an abstract of approximately 500 words,=20
> describing clearly the topic that will be addressed, the material that=20
> will be drawn upon and the key messages of the paper. Please include=20
> the names, affiliations and email addresses of all authors. Abstracts=20
> should be submitted to [log in to unmask] by 30=20
> November 2005, preferably as a Word document. Informal enquiries=20
> regarding possible submissions can be made to [log in to unmask]
>
> Authors will be informed whether or not their submission has been=20
> accepted by 31 January 2006. Authors of accepted contributed papers=20
> will be required to register for the conference and to present their=20
> paper orally.
>
> For further details of the conference, see the website:=20
> http://www.iser.essex.ac.uk/ulsc/mols2006.
>
>
>
> *************************************
> Peter Lynn ([log in to unmask])
> Professor of Survey Methodology
> Institute for Social and Economic Research (ISER)
> University of Essex, Colchester, UK CO4 3SQ
> tel: +44 (0)1206 874809; fax: +44 (0)1206 873151
> http://www.iser.essex.ac.uk/
>
=========================================================================
Date: Thu, 10 Nov 2005 10:00:49 +0000
Reply-To: Gilly Newton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gilly Newton <[log in to unmask]>
Organization: MRC Institute of Hearing Research
Subject: JOB: Research Statistician
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Content-Transfer-Encoding: quoted-printable
RESEARCH STATISTICIAN
Quantitative and Neuroimaging Methods
REF: IHRDH03
The Institute of Hearing Research conducts world-leading research into=20
hearing and hearing disorders. We have a vacancy for a research=20
statistician who will provide general statistical support to the=20
Institute and specialised analysis to the neuroimaging group. Research=20
programmes include neurophysiology, psychoacoustics, functional=20
neuroimaging, event related potentials, and applied and clinical=20
applications. We offer a dynamic, multi-disciplinary environment in=20
which to develop new skills and you will have access to excellent=20
in-house technical and computer support.
Applicants should possess a higher degree in a relevant subject, or a=20
combination of degrees including statistics and statistical analysis and=20
data management experience. Open-ended, full time employment is offered=20
and the appointment at Band 4, according to qualifications and=20
experience, will be to a starting salary in the range =A324,746 to=20
=A330,286. Removal expenses, generous leave (30 days) and public holidays=
=20
(10.5 days), and the MRC=92s final salary pension scheme will also be off=
ered.
For an informal discussion about this position, please contact Dr Deb=20
Hall on 0115 922 3431 or email: [log in to unmask]
Further particulars and an application form (quoting ref. IHRDH03) are=20
available by:
=95Writing to Personnel, MRC Institute of Hearing Research, University=20
Park, Nottingham NG7 2RD.
=95Downloading off the =93Job Vacancies=94 section of the Institute=92s w=
ebsite=20
(http://www.ihr.mrc.ac.uk)
=95Sending an email to [log in to unmask] or
=95Phoning the IHR job line on 0115 951 8501
Applicants should send a CV and completed application form with a letter=20
outlining interest and experience and details of at least two referees=20
to be received by 9th December 2005.
--=20
Gilly Newton
Office Receptionist/Secretary
MRC Institute of Hearing Research
University Park
Nottingham
NG7 2RD
Tel: (0115) 9223431
Fax: (0115) 9518503
Email: [log in to unmask]
This message has been checked for viruses but the contents of an attachme=
nt
may still contain software viruses, which could damage your computer syst=
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University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 10 Nov 2005 21:34:34 +1100
Reply-To: Alison Saunders <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Saunders <[log in to unmask]>
Subject: JOB - Project Statistician, Sydney
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable
PROJECT STATISTICIAN=20
=20
* Pharmaceutical Clinical Trials=20
* Permanent position; Company ranked in top 100 Best Employers=20
* Sydney.
=20
Our client, a multinational pharmaceutical company, is seeking a
statistician experienced in clinical research trials to join their team.
=20
Your major responsibilities in this role will focus on clinical trial
Design, Analysis and Report Writing. You will work closely with
physicians, clinical research associates, and statistical analysts. =20
=20
You will possess a strong knowledge of advanced methodology in
biostatistics, proficiency in the SAS programming language, knowledge of
sample sizes/power calculations, survival analysis; repeated measures
mixed models, non-parametric regression.
=20
Further experience will include applying biostatistical methods in the
clinical trial process, statistical study design and protocol
development, knowledge of population based statistics including meta
analysis and experience of developing analysis plans from protocol. =20
=20
Essential attributes for the role will include your excellent
communication skills, negotiation and persuasiveness. You will have a
natural ability to explain statistical requirements to non-statistical
colleagues, especially in relation to the study development process. =20
=20
To apply for this role please forward your cover letter and CV, as one
Word document (please avoid using tables when formatting) quoting Ref
#AS0510-10 to [log in to unmask]
=20
Or for a confidential discussion phone Alison Saunders on +61 (0)2 9431
2510.
=20
Closing Date 17/11/05
=20
=20
=20
=20
=20
=========================================================================
Date: Thu, 10 Nov 2005 14:15:59 +0000
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: New Job : Clinical Statisticians , Entry level to Director
Hi
I am currently working on behalf of a large Pharmaceutical company seeking
all levels of statisticians , from PhD graduate up to Senior Expert/
Director level. This is a premier opportunity statistician to take on a
position of key influence within an elite pharmaceutical company, to be
based in Switzerland, on the border with France or in UK near Brighton (
by the sea!).
Our client is a pharmaceutical giant, ranking in the world's top 5 in this
industry. It operates in 140 countries through 360 independent
affiliates, while offering a range of pharmaceutical products and services
within primary care, oncology, transplantation, ophthalmic and mature
products. In its consumer health division, it deals primarily with OTC
drugs, animal health, medical nutrition, infants and babies. In 2003, its
group sales increased by 19%, taking this market leader from strength to
strength. A generous benefits package is available.
If you would be interested to discuss this further, please contact Natalie
for a private and confidential chat
Natalie Fforde
Managing Director
Fforde
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
www.fforde-management.com
This transmission has been issued by Fforde-Management Ltd for the
information of the addressee only and should not be reproduced and / or
distributed to to any other person. Unless otherwise agreed in writing,
any CV or Candidate details attached hereto must be read in conjunction
with, and are subject to, Fforde-Management's Standard Terms of Business.
Its contents are based on information obtained from sources believed to be
reliable but Fforde-Management makes no representation and accepts no
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Thu, 10 Nov 2005 14:54:12 -0000
Reply-To: "Valerie J. Walker" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Course in November 2005
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
We are re-announcing a course, which is scheduled to take place in =
November=20
2005. Summary information is given below.
For more detailed information and registration forms please see=20
http://www.ssc.rdg.ac.uk providing your address and/or fax number,
or email [log in to unmask]
A Review of Basic Statistics
*************************************************************
Dates: 29-30 November 2005. Duration: 2 days. Price: 460GBP.
*************************************************************
This course builds up the basic ideas of statistics systematically and=20
quickly. It provides an introduction to methods of summarising
and presenting data, estimation, confidence intervals and hypothesis=20
testing. Mathematical details will be kept to a minimum.
A wide choice of statistical software is available for practical work.=20
Microsoft Excel may also be used - this requires the use of
our Excel "add-in" SSC-Stat, which is freely available to course=20
participants.=20
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Thu, 10 Nov 2005 16:28:29 +0100
Reply-To: Salaheddine AJI <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Salaheddine AJI <[log in to unmask]>
Subject: Unsubscribe
MIME-Version: 1.0
Content-type: text/plain; charset=US-ASCII
Please could you remove my email address off the allstat mailing list.
Thanks
Salaheddine AJI
=========================================================================
Date: Thu, 10 Nov 2005 18:09:41 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT- SAS Programmer, 12 month contract
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT- SAS Programmer, 12 month contract
=20
Salary: GBP 45ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client has an opening for a SAS programmer with at least 5 years
experience programming in SAS for the production of electronic
submissions. This is purely a SAS role and involves the manipulating of
data sets and producing documentation. Candidates should have 3+ years
of working with SAS/Macro and 2-3 years experience of pharmaceutical
data and reporting clinical trials. The contract will run from ASAP and
last for an initial 6 months.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date copy of your CV quoting the reference
'grv-4308'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
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However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
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=20
=========================================================================
Date: Thu, 10 Nov 2005 18:59:17 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW CONTRACT: SAS Programmer - Safety / Efficacy for Electronic S
ubmissions (1 year+ UK Based)
MIME-Version: 1.0
Content-Type: text/plain
Good evening,
please find attached the latest CONTRACT vacancy for you to review;
TITLE: Statistical Programmer
ROLE: This job entails the production of datasets (SAS transport files) and
accompanying documentation as part of an electronic submission (eSUB) for a
regulatory filing. The datasets comprise efficacy and safety data from
final, signed off study reports of clinical trials. The contract is for 1
year. Within this period, the main focus will be eSUB production, but the
candidate will be expected to take on other data reporting work from time to
time, as project priorities dictate. The eSUB production role includes 2
main activities: -
* The production and quality control of eSUB datasets using SAS. This
is achieved by writing and validating software in accordance with eSUB
specifications and The client programming standards. The software will be
run within The client's reporting tool.
* The production and quality control of annotated case report forms
(crf) : the purpose of the annotations is to add the each SAS variable name
next to the corresponding item collected on the crf.
Both activities would require identification of the general cause of any
issues and their possible resolution with data management, programming,
statistical or clinical staff as appropriate. Training will be given in all
The client specific tools and processes.
SKILLS
*
5+ years of SAS/BASE
* 3+ years of SAS/Macro
* 2-3 years experience of pharmaceutical data and reporting clinical
trials
Desirable Criteria
* Experience of producing eSUB components
* Knowledge of Software Development Lifecycle (SDLC)
* Knowledge of statistical methodology used to report clinical trials
CONTRACT LENGTH: 1 year+
RATE: Dependant on experience
START DATE: ASAP, but they will wait for notice
LOCATION: UK, Kent
If you are interested in this position, please feel free to contact me
ASAP. Like wise if you are not available or interested but know someone who
might, please feel free to pass my details forward.
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
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printing or copying of this e-mail is strictly prohibited. While every
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responsibility for the loss of business or damage caused arising from this
email.
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solely those of the author and do not represent those of the company from
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While every effort has been made to scan this e-mail, we can not accept any
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=========================================================================
Date: Fri, 11 Nov 2005 08:48:29 +1300
Reply-To: Peppy & Siuly Adi-Purnomo <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peppy & Siuly Adi-Purnomo <[log in to unmask]>
Subject: Unsubscribe
MIME-Version: 1.0
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Content-Transfer-Encoding: 8bit
Pls unsubcribe me for now.
Thanks
Peppy
=========================================================================
Date: Thu, 10 Nov 2005 22:28:26 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Primoris Contract Solutions <[log in to unmask]>
Organization: Primoris Contract Solutions
Subject: JOB Opportunity: Contract Statistician, Belgium
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Our client, a leading pharmaceutical company based in Belgium, urgently
seeks a biostatistician for a 6 month contract. You will be involved in =
a
variety of activities, including input into trial design and protocol
development, statistical analysis plans, statistical analysis =
programming,
input into clinical study reports. This will be in the CNS therapeutic =
area.
This client is willing to consider partial working from home (1 day/week =
or 1 week/month),
if you have appropriate network connection facilities at home.
You should have minimum 6 years experience as a statistician in the =
pharmaceutical
industry with at least an MSc qualification in statistics.
Start date: ASAP, end November would be excellent.
Rate: 600 to 700 Euro/day.
If you are interested in this position, please contact us at
[log in to unmask] for more details.
For other positions see www.primoriscs.co.uk.
Primoris Contract Solutions Ltd
Tel: 07092 150054
Fax: 07902 150052
[log in to unmask]
=========================================================================
Date: Fri, 11 Nov 2005 09:27:12 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rumana Omar <[log in to unmask]>
Subject: short course on medical statistics
MIME-Version: 1.0
Content-Type: text/plain;charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
* Practical Statistics for Medical Research*
3rd =96 6th April 2006
UCLH R&D Directorate, UCL Statistical Science, MRC Clinical Trials Unit
This internationally reputed course has been running for more than 10
years and covers the essential aspects of design and analysis of health
studies. It is relevant to all health care professionals actively involve=
d
in research. The course is structured into 4 teaching sessions per day,
with a mixture of lectures and practical work. Each participant has acces=
s
to a computer for practical work. A full set of lecture notes and
solutions to practicals are supplied. The course is offered by experts in
Medical Statistics and Epidemiology. Numbers are strictly limited on a
first come first served basis for this popular course.
Course teachers: Prof. Doug Altman, Prof. Patrick Royston, Dr Rumana Omar=
,
Caroline Dor=E9, Dr Julie Barber, Dr Gareth Ambler, Caoimhe O=92Sullivan,=
Dr=20
Andrew Copas & Dr Rebecca Turner
Early registration fee (until end of Jan 2006) :=A3595.00
Late registration fee (after end of Jan 2006) : =A3650.00
For more information please visit our website at:
www.ucl.ac.uk/stats/psmr
or contact:
Hanna Holovin (Course Administrator)
(1st Floor Maple House)
Rosenheim Wing, Ground Floor
25 Grafton Way
London, WC1E 5DB
Tel + 44 (0)20 7380 6978 (internal 2178)
Fax: + 44 (0)20 7380 9937
Email: [log in to unmask]
--=20
Dr. Rumana Omar
Senior Lecturer
Department of Statistical Science
University College London
Gower Street
London WC1E 6BT
=========================================================================
Date: Fri, 11 Nov 2005 10:28:28 +0000
Reply-To: "G.S.Clarke" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "G.S.Clarke" <[log in to unmask]>
Organization: University of Wales, Bangor
Subject: 2 questions: Advice on PCA/FA; Books on 'non-parametric'
approaches
MIME-Version: 1.0
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Hello All,
Sorry for the longish e-mail; but I am seeking your advice/opinion on
two questions:
1) I have a data set to analyse regarding a range of professionals'
response to a questionnaire. I have done PCA on all the results and
then follow up investigation to see which professional groups differ
from other professional groups with respect to the derived components.
However in looking to publish the results it is clear that some journals
would be more interested in a subset of those professional groups. So
how to proceed? I could use the PCs as derived from all the
questionnaires to generate 'scores' for all individuals which I then
analyse for the sub set of professions; or I could generate PCs derived
only from individuals belonging to the sub set of professions and
analyse those (these PCs are similar but not identical).
In doing further (effectively post-hoc) analysis on all the professions
my subset professions are often placed in different 'homogeneous groups'
however when I simply work with the sub set of professions then the
analysis more frequently says that these subset professions belong to
one 'homogeneous group' (presumably because of the reduction in overall
sample size is reducing power). (One of my sub set professions has only
8 members compared to ~50, ~100 in the other two sub set professions;
the overall - all professions - sample size is about 1200.)
So really, my question how to proceed with analysing the sub-set of
professions. What is the more effective/rigorous analysis in terms of
statistics and also in terms of what editors of journals may accept.
Any advice/opinon/references would be welcomed
Question. - pretty much separate from Q1.
In terms of ranking type data, simpler type analyses can be carried out
'non parametrically' using techniques found in texts like siegal and
castalan. However I was wondering how to approach analyses that - had
the data being normal etc. you would use a multiple regression/factorial
ANOVA . Any advice on this would be welcome as would any recommendations
for any text I could read that would give me info on this (I do have a
maths degree, but it is a bit 'rusty' so application rather than theory
would be preferred).
Sorry to take up so much of your time, but any help with either (or
both!) these questions would be very gratefully received.
Best Regards
Graham
--
Dr G.S.Clarke
Lecturer in Physiology & Biometry
Faculty of Health Studies
University of Wales, Bangor
Fron Heulog
Ffriddoedd Road
Bangor
Gwynedd LL57 2EF
Tel: 01248 383157
e-mail: [log in to unmask]
--
Dr G.S.Clarke
Lecturer in Physiology & Biometry
Faculty of Health Studies
University of Wales, Bangor
Fron Heulog
Ffriddoedd Road
Bangor
Gwynedd LL57 2EF
Tel: 01248 383157
e-mail: [log in to unmask]
=========================================================================
Date: Fri, 11 Nov 2005 10:20:41 -0000
Reply-To: "Olhede, Sofia C" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Olhede, Sofia C" <[log in to unmask]>
Subject: JOB: Chapman Fellowships at Imperial College London
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
=20
Faculty of Physical Sciences
=20
DEPARTMENT OF MATHEMATICS
=20
Chapman Fellowships in Mathematics
=20
Applications are invited for two Chapman Fellowships in Mathematics, =
tenable for two years, starting in October 2006 or as soon as possible =
thereafter.
=20
In the 2001 Research Assessment Exercise, Pure Mathematics, Applied =
Mathematics and Statistics at Imperial were graded 5*, 5* and 5 =
respectively.
=20
Candidates are expected to have a PhD, show substantial research =
potential, and actively contribute to the dynamic research environment =
within the Department of Mathematics. As well as undertaking research, =
the Fellows will be expected to carry out limited teaching duties for =
the department.
=20
The posts will be on the Research and Education Scale, Level B, salary =
in the range =A322,870 - =A333,330, including London weighting.
=20
A job description and an application form (which must be completed) can =
be obtained from the following website: =
http://www.imperial.ac.uk/employment/research/index.htm =
<http://www.imperial.ac.uk/employment/research/index.htm> . =
Alternatively, please contact: Mr Matthew Smith, email: =
[log in to unmask], tel: +44 (0)20 7594 8491. Mr Smith can also =
provide you with further particulars.
=20
Please post one copy of your application form together with your CV, =
list of publications, and short research plan to Matthew Smith, =
Mathematics Department, Imperial College of Science, Technology and =
Medicine, 180 Queen's Gate, London SW7 2RH
=20
Applicants must also arrange for three referees to send letters of =
recommendation directly to Matthew Smith, as above. It is the =
applicant's responsibility to ensure that the reference letters are =
received by the closing date.
=20
Closing date for applications: January 1st, 2006
=20
Kind regards
Sofia Olhede
=20
=20
=========================================================================
Date: Fri, 11 Nov 2005 10:14:39 -0000
Reply-To: Paul Brown <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Brown <[log in to unmask]>
Subject: Query: qoute on Bayes
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
I have a vague memory of reading a quote from the early 1900's that was =
along the lines 'Bayesian methods will not become popular until 2020.' =
Seems like an amazing forecast! I'm sure i read this but cannot remember =
where, maybe it was Pearson? Is anyone familiar with the quote?
Thanks.
Paul Brown =20
=20
Paul Brown=20
Statistician=20
Syne qua non Ltd=20
Tel: +44 (0) 1379 644449=20
Fax: +44 (0) 1379 644445=20
email: [log in to unmask]
web: http://www.synequanon.com=20
=20
Number of attachments included with this message: 0=20
=20
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This message (and any associated files) is confidential and =20
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=========================================================================
Date: Fri, 11 Nov 2005 13:37:59 +0000
Reply-To: "Bland, M." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Bland, M." <[log in to unmask]>
Organization: University of York
Subject: Looking for data for a student
Comments: cc: "Phillips, A." <[log in to unmask]>, [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Dear Allstaters,
I have a B.Sc. student who would like to do a dissertation in the area
of gestational diabetes. Can anybody suggest a publicly available data
set which she could use for secondary analysis?
Many thanks,
Martin
--
***************************************************
J. Martin Bland
Prof. of Health Statistics
Dept. of Health Sciences
Seebohm Rowntree Building Area 2
University of York
Heslington
York YO10 5DD
Email: [log in to unmask]
Phone: 01904 321334
Fax: 01904 321382
Web site: http://www-users.york.ac.uk/~mb55/
***************************************************
=========================================================================
Date: Fri, 11 Nov 2005 14:40:31 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Walters <[log in to unmask]>
Subject: Jobs at Uni of Sheffield
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
THE UNIVERSITY OF SHEFFIELD
School of Medicine
Job description
Job Title: Research Assistant (Random Graphs for Complex Biological
Systems)
Date: January 1, 2006 or as soon as possible thereafter.
Department: School of Medicine
Grade: RA1A (up to spine point 11)
Reporting To: Prof Chris Cannings and Dr. Nick Monk
Job Purpose: the development of mathematical and computational models of
random graphs and their application to complex biological networks and
amorphous computing.
Summary of the main purpose and objectives of the post: the post is funded=
for 48 months on a Research Grant from the EPSRC Computer Science
Committee under the Novel Computation Initative. Project "Amorphous
computing, random graphs and complex biological networks", is a four year
project in collaboration with University of Leeds, Royal Holloway College,=
London and BT, and involves co-workers at these institutions and at King's=
College, London and University of Southampton. Total funding is =A31.8mill=
ion,
of which =A3850k is to University of Sheffield. The Sheffield component ha=
s
Principal Investigator, Prof Chris Cannings, who is also the overall proje=
ct
leader, and Co-Investigator Dr Nick Monk, and has 2 four-year post-doctora=
l
RA's (research assistants), a two-year post-graduate RA, two Ph.D. Student=
ships
and a half-time co-ordinator.
We use the term "amorphous computing" to describe the process by which a s=
et
of microprocessors which have been thrown down at random (perhaps in some
medium such as paint or cement, or dropped from an aeroplane) can, via sig=
nals
between near-neighbours, assemble themselves in such a way as to carry out=
some prespecified task (perhaps detection of stress in a building, or of
pollution). The outcome needs to be fault tolerant and error correcting. T=
hus the
notion has much in common with issues in biological processes, where the
behaviour of systems is not deterministic but a fairly standard pattern mu=
st
emerge despite random perturbations. An understanding of the issues here n=
eeds
deep investigation of dynamics on, and of, random networks.
The objective of the project overall is the development of novel amorphous=
computation paradigms via random graph models of complex networks deriving=
insight from neuroscience, epidemic and gene-regulatory networks. The spec=
ific
role of the current position is to work on the mathematics of random graph=
s,
extending some of the various classes of models and their properties, and =
to
study the behaviour of, and on, these graphs under various dynamical regim=
es.
Medical School: The Medical School at Sheffield is a complex organization=
that integrates teaching, research and the practice of medicine. Our cour=
ses
expose medical students to best current practice, through learning with th=
e
excellent Primary and Secondary care providers in the region. Further, we=
are
engaged in developing the medicine of tomorrow, through the highly rated
research work of our academic staff members.
Organisation: The Division of Genomic Medicine is one of three Divisions
making up the University of Sheffield Medical School. The Division is hou=
sed
on several floors of the Royal Hallamshire Hospital, and in the adjacent
Sheffield Medical School, on the main campus of Sheffield University. The=
aim
of the Division is to foster a multidisciplinary approach to the biologica=
l
mechanisms underlying diseases of major importance to public health.
Main Duties: The development and analysis of mathematical models of the
random networks and their application to real-world networks. The developm=
ent
of algorithms to derive structural features from networks. Efficient compu=
ter
simulation of the model where needed, and interaction with the computer
programmer who will be appointed at end of year two to produce a good fron=
t
end for applying our results.
The RA will provide support to the other groups regarding random graphs,
possibly in the form of occasional tutorials and/or lectures. One of the m=
ost
important aspects of the project is to bring together the disparate biolog=
ical areas
(neural, epidemic and genetic) through the language of graph theory. For t=
hat
reason the project has monthly meetings of various subsets of the research=
ers
involved, has six-monthly workshops and may run seminars and courses for t=
he
IT industry as insights emerge. All RA's will be expected to play a full p=
art in
these and to gain understanding of issues facing others within the project=
.
Interfacing with all the other groups is a priority. There is good funding=
for
attendance at conferences.
End Results: a detailed mathematical description of the theory of random
graphs appropriate for the assembly of amorphous computers, in order to
achieve robustness, adaptability and self-repair.
Skills Required: expertise in mathematical theory of random graphs. A
willingness to apply this in a biological context, and in a computation co=
ntext;
good inter-personal skills; ability to operate across discipline boundarie=
s.
Further Information: Prof Chris Cannings ([log in to unmask]; 0114 27=
1
2252), Dr Nick Monk ([log in to unmask]; 0114 222 1832).
=========================================================================
Date: Fri, 11 Nov 2005 15:05:27 +0000
Reply-To: Ingrid Harper <[log in to unmask]>
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<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar: Whittle estimation of exponential volatility models
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Whittle estimation of exponential volatility models
Dr Paolo Zaffaroni, Imperial College London
Wednesday, 16th November 2005, 2pm
The Whittaker Room (211)
Abstract:
The strong consistency and asymptotic normality of the Whittle estimate of
the parameters in a class of exponential volatility processes are
established. The variable of interest might not have finite fractional
moment of any order and so, in particular, finite variance is not imposed.
We allow for a wide range of degrees of persistence of shocks to
conditional variance, covering a variety of parametric specifications of
interest that allow for short and long memory. A Montecarlo exercise shows
the small-sample properties of the estimator.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 11 Nov 2005 14:55:30 +0000
Reply-To: Cherag Kalapesi <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cherag Kalapesi <[log in to unmask]>
Subject: General Insurance Actuary/Statistician
Hi all,
I'm currently working with a global insurer in helping them find a
qualified actuary or an experienced statistician who can take the lead on
technical pricing for their Household portfolio.
The Household actuarial team is primarily responsible for the design of
appropriate pricing structures for the core risk rates for household and
pet business. The team sits alongside teams responsible for underwriting
and pricing of both direct to customer and intermediated business.
The role reports to the Portfolio Director for Household business and will
involve managing a team of four other actuarial and statistical
specialists. You will also work with other managers to drive forward the
profitability of the household portfolio and actively contribute to
underwriting and business strategy.
My client recognises the demand for your skills in the current market and
is able to offer a very competitive package.
If you would like to find out more or apply for this position, please
contact:
Cherag Kalapesi
Acumen Resources
+44 (0)208 544 0474
[log in to unmask]
=========================================================================
Date: Fri, 11 Nov 2005 15:55:28 +0000
Reply-To: Gill Meadows <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gill Meadows <[log in to unmask]>
Subject: ESDS Government forthcoming events
With apologies for cross posting.
We would like to draw your attention to the following event.
A consultation on the ONS Continuous Population Survey/Integrated Household
Survey
Monday 23 January 2006, 1.30 - 4.30
Royal Statistical Society, London
The Continuous Population Survey, now re-named the Integrated Household
Survey, is planned to begin in January 2008. The design involves the
integration of the household surveys on which the Office for National
Statistics (ONS) leads into one integrated survey.
This meeting provides an opportunity to find out from ONS the latest
developments. It is also an opportunity to ensure that your needs are heard
and considered.
For more details and to book a place please go to
http://www.ccsr.ac.uk/esds/events/2006-01-23/
There are also a few places remaining for the Labour Force Survey User Group
Meeting on Tuesday 6 December 2005. The meeting takes place at the Royal
Statistical Society in London and will provide a forum for the exchange of
information and views between users and producers of the Labour Force Survey.
To view the programme and book a place please go to
http://www.ccsr.ac.uk/esds/events/2005-12-06/
=========================================================================
Date: Fri, 11 Nov 2005 16:42:46 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Walters <[log in to unmask]>
Subject: 2 MSc courses: Genetic Epidemiology & Statistical Genetics - U of
Sheffield
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M.Sc. Genetic Epidemiology
M.Sc. Statistical Genetics (New Course)
University of Sheffield
GENETIC EPIDEMIOLOGY is the study of the genetic basis of disease in
human populations. It develops and uses mathematics and statistics to stud=
y the
role of genes in disease causation and severity, and to locate their posit=
ion in the
human genome. Such studies can lead to possible therapies. Both courses
provide training in this area. The new M.Sc. in Statistical Genetics is a=
imed
specifically at graduates in disciplines with a high mathematical content =
and is
more focused on methodological issues.
The Genetic Epidemiology M.Sc. is aimed at:
* Graduates in Genetics/Biology/Medicine.
* Practitioners in Genetics/Epidemiology who wish to acquire some
knowledge of parts of the area.
* Graduates in Maths./Stats./Computer Science wishing to move into the
field
The Statistical Genetics M.Sc. is aimed at:
* Graduates in Maths./Stats./Other subjects with a substantial component=
of these.
There is currently a worldwide demand for trained Genetic
Epidemiologists/Statistical Geneticists in the Pharmaceutical and Biotechn=
ology
industries, and in research establishments. In recognition of this the Div=
ision of
Genomic Medicine, University of Sheffield launched a new M.Sc. in Genetic
Epidemiology in October, 1999 with financial support from Glaxo-Wellcome.
The course has been very successful and is now in its seventh year. The
Statistical Genetics M.Sc. is a new course for 2006/2007. To our knowledge=
this
is the first UK M.Sc. in Statistical Genetics, and the only dedicated cour=
se.
Both courses are full-time over 12 months.
2005/2006 Fees: =A311,700 (Overseas), =A33985 (Home/ EU) =96 subject to ye=
arly
revision.
Individual modules may be taken on payment of a fixed fee.
Funding
For the Genetic Epidemiology M.Sc. we are able to offer 3 Cancer Research =
UK
bursaries and expect to be able to offer 2 MRC funded Studentships for the=
course in September 2006. We have applied for 3 MRC funded studentships
for the Statistical Genetics M.Sc.
Course Structures
Both courses share the following (1 week) modules:
Basic Genetics Non-parametric Linkage Analysis
Basic Human Genetics Parametric Linkage Analysis
Population Genetics Association Studies
Segregation Analysis Seminar Series
Genetic Epidemiology M.Sc. (30% research)
A substantial research project (4 months) and 4 further (1 week) modules:
Basic Statistics, Epidemiology 1, Epidemiology 2 and Programming in C
Basic courses are designed to allow individuals with disparate backgrounds=
to
acquire the necessary statistical &/or genetic underpinning of the course.
Statistical Genetics M.Sc. (60% research)
A substantial research project (4 months) and 2 mini projects (4 weeks eac=
h).
The mini research projects are expected to include the following areas:
* Current laboratory technologies (e.g. mass spectrometry, microarrays)
* Bioinformatics
* Phylogenetics
* Statistical methodological issues in human genetics
Lecturers (both courses)
Prof Chris Cannings, Dr Angie Cox, Dr Kevin Walters, Dr Martin Nicklin, Dr=
Dawn
Teare (Genomic Medicine, University of Sheffield)
Prof Mike Campbell, (ScHARR, University of Sheffield)
Prof Doug Easton, Dr Deborah Thompson (CRUK, Cambridge)
Dr Jenny Barrett, (University of leeds),
Prof Tim Bishop, Dr Mark Iles (CRUK, Leeds)
Mr Mark Cannings, (ActionPoint Solutions Ltd.)
Contact
Lorna Evett,
Division of Genomic Medicine, EU28
Henry Wellcome Laboratories for Medical Research,
University of Sheffield, Beech Hill Road,
Sheffield, S10 2RX, United Kingdom.
Email [log in to unmask]
Tel 44 (0) 114 271 2566
http://www.shef.ac.uk/medicine/prospectivepg/taught/mscge/index.html
Course Leader
Prof. Chris Cannings
External Examiner
Prof. Peter Holmans, University of Cardiff
Previous student destinations
PhDs =96 Imperial College, Heriot-Watt University, University of Edinburgh=
,
University of Cambridge, University of Sheffield, University of Southampto=
n,
University of Newcastle, University of Western Australia.
Representative Employers =96 ARC Manchester, St. Mary=92s Hospital Manches=
ter,
CRUK Leeds, Genetics Knowledge Park Cambridge, University of Leicester,
Pharmaceutical Industry
=========================================================================
Date: Fri, 11 Nov 2005 16:32:00 +0000
Reply-To: Hilary Watt <[log in to unmask]>
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<[log in to unmask]>
From: Hilary Watt <[log in to unmask]>
Subject: QUERY: circular statistics
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Dear all,
Circular statistics are stats for angles, for seasons, or for time of
day - anything that is circular.
OUR PROBLEMS:
(1) We have a number of patients, each of whom have a series of 5 tests
and we wish to compare the ANGLE that they set off at, between the tests
(this is like a 2 way ANOVA, with person id, and type of test, but we
want a version that works with ANGLES, i.e. taking account of the fact
that 0 and 360 are the same thing).
(2) We would also like to compare the variability in angle between 2
sets of measurements on the SAME patients, i.e again on paired data
(CIRCULAR stats version of Pitmans test)
Books for those interested which solve other problems in circular
stats:
Topics in circular statistics. Jammalamadaka and SenGupta, World Sci
Publishing Co Pte Ltd, Singapore 2001.
Circular statistics in biology. Edward Batschelet. Academic Press Inc
(London), subsid of Harcourt Brace Jovanovich publishing, 1981
Many thanks in advance for your help
best wishes
Hilary
Hilary Watt
Lecturer in Statistics
Medical Statistics Unit
London School of Hygiene and Tropical Medicine
Keppel Street, London, WC1E 7HT
Tel: 020 7927 2169
Fax: 020 7637 2853
E-mail: [log in to unmask]
HONORARY LECTURER at the INSTITUTE OF NEUROLOGY
Part Funded by the Institute of Neurology to provide
Statistical consultancy members of the Institute
My ION intranet web pages for my teaching material and courses, links
to
other courses and other teaching material, including material on SPSS.
http://www.ion.ucl.ac.uk/intranet/admin_services/stats_teaching.htm
=========================================================================
Date: Sat, 12 Nov 2005 10:47:50 +0000
Reply-To: Sarah Priestman <[log in to unmask]>
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<[log in to unmask]>
From: Sarah Priestman <[log in to unmask]>
Subject: Query:sample size calculations
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I was wondering if somebody could help me with this?
I have a very large population that i want to reach with a certain
marketing strategy, but first i have to reach a control group to check
whether it is effective,
Would anybody have any formulae that would help in calculateing the
optimum size of this control group if no prior knowledge of the
response is known?
Thanks in advance
Sarah
=========================================================================
Date: Mon, 14 Nov 2005 06:40:16 +0000
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Prinicpal component Vs Factor Analysis
Comments: To: group <[log in to unmask]>
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hi,
I was recently asked by the question "What is the difference between Prinicipal component analysis and Factor analysis" in an job interview. I know the analysis of both these multivariate techniques in detail but I have no clear cut idea about its difference. I know that both the "Prinicipal component analysis" and "Factor analysis" target to reduce the variance covariance (or correlation ) structure of a set of variables. But further........?
Can anobody help to make me understand the difference between these two techniques?
Any suggestion in this regard is appreciated.
With regards,
Madan
---------------------------------
Enjoy this Diwali with Y! India Click here
=========================================================================
Date: Mon, 14 Nov 2005 12:59:16 -0000
Reply-To: Abderrahim Oulhaj <[log in to unmask]>
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<[log in to unmask]>
From: Abderrahim Oulhaj <[log in to unmask]>
Subject: linear mixed effect model
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Dear All,
I would be grateful if someone can help me for the following puzzling =
problem.
I have a longitudinal data about n =3D 300 Alzeihmer's patients. Each =
patient "i" has a number of visits "n_i" say.
For each patient "i" and at each visit "j" some measures have been =
taken such that: Y_ij, Age_ij and X_i1 where Y_ij is the dependent =
variable =20
Age_ij is the age of the patient "i" at visit "j" and X_i1 is a baseline =
covariate observed at visit 1 only (X_i1 may be a time-varying =
covariate but for some technical reasons we observe it at visit1 only). =
Furthermore, the number of visits are not the same for all patients. =
However, the interval between two consecutive visits is constant and =
is equal to 6 months. =20
The main objective is to test whether the baseline value "X_i1" has a =
significant effect on "Y_ij" or not. To do that, I used a linear mixed =
effect model (longitudinal data) but with two different =
parameterizations:
1- I used the linear mixed effects model: Y_ij =3D beta0 + beta0i + =
beta1*Age_ij + beta2*X_i1 + epsilon_ij
Results: beta2 > 0 and the corresponding p-value < 0.05.
2- I used the linear mixed effects model: Y_ij =3D alpha0 + alpha0i + =
alpha1*j + alpha2*X_i1 + alpha3*Age_i1 + epsilon_ij
where Age_i1 is the age of patient "i" at the first visit, i.e. at visit =
"1".
Results: alpha2 < 0 and the corresponding p-value < 0.05.
Thus, the conclusison drawn from the two models are not the same. The =
first one says that "X_i1 " has a positif effect on "Y_ij" and the =
second one says the converse even if the two models seems to be =
identical from the parameters interpretation point of view.
Many thanks,=20
A.O
=========================================================================
Date: Mon, 14 Nov 2005 13:20:22 +0000
Reply-To: Rebecca CANNINGS <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rebecca CANNINGS <[log in to unmask]>
Subject: Seminar: RSS South Wales Local Group
Comments: To: [log in to unmask], [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], Laurence Moore <[log in to unmask]>,
Christopher Potter <[log in to unmask]>,
David Fone <[log in to unmask]>,
Mark Kelly <[log in to unmask]>,
Shantini PARANJJOTHY <[log in to unmask]>,
Venkat Timmaraju <[log in to unmask]>,
Zoe Roberts <[log in to unmask]>,
Barry Nix <[log in to unmask]>, Edward C Coles <[log in to unmask]>,
Frank Dunstan <[log in to unmask]>,
Marian Hamshere <[log in to unmask]>,
Peter Holmans <[log in to unmask]>,
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
"Studley, Ruth (SD)" <[log in to unmask]>
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REMINDER
-------------------
The next seminar of the South Wales local group of the RSS is on Wednesday =
16th November at 5:00pm (4:30pm for tea) at the Cinema, Welsh Assembly =
Building, Cathays Park, Cardiff.=20
Linear regression with errors in both variables; a problem solved.
J. W. Gillard, T. C. Iles (Cardiff University)
Abstract
Many experimental procedures involve fitting a straight line to a set of =
bivariate data (x,y). Standard linear regression could fit this line, but =
it assumes that measurement error is only associated with one variable - x =
or y. In many situations, the scatter about the true line will be caused =
by measurement error in both variables. Here, standard linear regression =
estimators for the line are biased and should be avoided.
This talk will consider how to fit a linear regression when there are =
errors in both variables. This is commonly known as errors in variables =
modelling. An example using AFP data (used to detect Down's syndrome) will =
motivate the talk. A maximum likelihood approach will be briefly outlined, =
but an alternative approach using the method of moments will take centre =
stage. This alternative approach has a number of distinct advantages, all =
of which will be outlined during the talk. Details will be given during =
the talk of a method of approach in fitting lines where both variables are =
subject to measurement error. These guidelines have been specifically =
devised for practitioners.
The seminar will be preceded by an AGM. =20
Rebecca Cannings-John
Statistician
Cardiff University
Department of General Practice
Room 2F 15
Cardigan House
Wales College of Medicine
Heath Park
Cardiff=20
CF14 4XN
Tel: 029 2074 5105
www.uwcm.ac.uk/study/medicine/general_practice
=========================================================================
Date: Mon, 14 Nov 2005 15:34:58 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Statistician (6 month contract) in Informatics
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
The following advert can be viewed on the Guardian website:
>http://jobs.guardian.co.uk/browse/health/general/vacancy-w36771.html
>
>
>Statistician (6 month contract)
>Informatics
>=A329,288 - =A342,601pa (pro rata)
>London
>The Healthcare Commission exists to promote improvement in the quality of
>both the NHS and independent healthcare in England and Wales. We aim to do
>this by becoming an authoritative and trusted source of information and
>using that information to drive improvement.
>In this role, you will support the analytical functions of CHAI, and will
>get involved in various areas of its work.
>Carrying out hands-on analysis of large and complex data sets, you will
>also provide expert advice on statistical methodology, particularly on the
>methods that are used to make institutional comparisons.
>The role will involve undertaking quality assurance checks, assisting in
>the interpretation of data and writing up reports. You will also identify
>ways in which we can improve our analysis methods, and will take
>responsibility for putting these into practice.
>Having spent at least five years in an analytical environment, you should
>be used to dealing with large data sets, and should be equally comfortable
>working in a team ad on your own initiative.
>A good communicator both verbally and in writing, you must also be
>familiar with a range of statistical software e.g. STATA, SQL etc. and
>should have a comprehensive understanding of applied statistical
>methodology.
>To apply, or view other opportunities, please visit
>www.healthcarecommission.org.uk
>If you are unable to apply online, call our recruitment line on 0870
>4422574 for an application pack, between 8am and 7pm Monday to Friday and
>between 9am and 2pm on Saturdays (answerphone out of these hours).
>Alternatively e-mail: [log in to unmask] Please
>quote reference: ST/1105.
>Closing date for completed applications: 28th November 2005.
>The Healthcare Commission welcomes applicants from all sections of the
>community, regardless of gender, race, disability, sexuality or age.
>
>
>Ann Petruckevitch
>
>Team Leader/Senior Statistician
>Methods and Research Team
>Healthcare Commission
>12th Floor, Finsbury Tower
>103-105 Bunhill Row
>London EC1Y 8TG
>
>Tel no: 020 7448 0822
=========================================================================
Date: Mon, 14 Nov 2005 11:17:05 -0500
Reply-To: Jason Osborne <[log in to unmask]>
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<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: PCA vs. EFA
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One of my graduate students and I had similar questions. We wrote this =
overview of exploratory factor analysis and PCA to clarify many confusing =
issues around PCA and EFA.
=20
Hope they are useful,
=20
Jason
=20
(Both are published in Practical Assessment, Research, and Evaluation, =
http://pareonline.net/:)
=20
http://pareonline.net/getvn.asp?v=3D9&n=3D11
=20
http://pareonline.net/pdf/v10n7.pdf
=20
=20
=20
=20
=20
=20
=20
=20
*--------
=20
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page: http://ced.ncsu.edu/ci/ed_psych.h=
tml
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
=20
>>> Madan Kundu <[log in to unmask]> 11/14/05 1:40 AM >>>
hi,
=20
I was recently asked by the question "What is the difference between =
Prinicipal component analysis and Factor analysis" in an job interview. I =
know the analysis of both these multivariate techniques in detail but I =
have no clear cut idea about its difference. I know that both the =
"Prinicipal component analysis" and "Factor analysis" target to reduce the =
variance covariance (or correlation ) structure of a set of variables. But =
further........?
=20
Can anobody help to make me understand the difference between these two =
techniques?
=20
Any suggestion in this regard is appreciated.
=20
With regards,
=20
Madan=20
=========================================================================
Date: Mon, 14 Nov 2005 16:34:08 -0000
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Data Analysis using Excel PivotTable Reports
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Course: Data Analysis using Excel PivotTable Reports
Duration: 1 Day
Venue: Newcastle upon Tyne (Quayside)
Date: Thursday 1st December 2005
Cost: 275 pounds plus VAT per delegate
Bookings are now being taken for the above course. Please note that on
this delivery of the course, each delegate will need to bring a laptop
with Excel 2000 or later installed.
Overview
========
This one day course is aimed at current users of Excel who wish to learn
how to manipulate one of the most powerful yet user-friendly tools
within Excel, namely PivotTable reporting.
PivotTable Reports are interactive tables which summarise large amounts
of data very quickly into tabular reports, the structure of which is
defined by the user. Once created, PivotTable Reports are extremely easy
to modify and format.
This course is designed to take the delegate from the basics of
PivotTable report creation through to more advanced topics such as
creating Custom Groupings and Displaying as Percentages.
No previous knowledge of PivotTable reporting is assumed and by the end
of the course, the delegate should be confident in building standard and
customised PivotTable reports.
Course Contents
===============
Introduction to PivotTable Reports
Creating a PivotTable Report
"Pivoting" a PivotTable
Structured Selection
Adding / Removing Fields in a Report
Refreshing PivotTable Data
Customising Fields
PivotTable Formatting
Grand Totals / Totals / Subtotals
Sorting PivotTable Data
Managing the Level of Detail
Custom Grouping
Displaying as Percentages
Course Summary
Course Venue
============
The course is being held at the Premier Travel Inn Newcastle Quayside.
Located on Newcastle's famous Quayside, the venue boasts easy access to
numerous local attractions on both the Newcastle and Gateshead sides of
the River Tyne. Hotel accommodation is not included in the price of the
course, but room rates and availability for the Premier Travel Inn
Newcastle Quayside can be obtained on 0870 990 6530.
Booking
=======
To book a place or places (discounts for group bookings of 2+) on the
course, or for further information, please do not hesitate to contact
me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Mon, 14 Nov 2005 16:47:18 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Invitation to OR Society:RSS Careers Open Day- Wednesday 23
November 2005, Univ of Birmingham
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This year the Royal Statistical Society (RSS) is contributing to the =
annual OR Society Careers Open Day. The joint programme for the day will =
include a strong focus on working as a statistician across a range of =
sectors. See http://www.rss.org.uk/careers for further details.=20
This will be a really packed and informative day with a number of short =
and informal case study sessions led by practising statisticians, a =
plenary talk by Karen Dunnell, the new National Statistician, plus lots =
of stands run by employers and postgraduate course providers (see =
below). Everybody who attends should come away with an excellent sense =
of how statistical skills can be deployed in quite different sectors, =
the options open to them and how to get started on a career as a =
statistician.=20
Please join us if you are an undergraduate or postgraduate student at =
the point where you are considering your future career options. We would =
also encourage attendance by all those responsible for giving careers =
advice.=20
If you know students/colleagues who could benefit from participating in =
the day, please direct them towards the RSS webpages and encourage them =
to attend.=20
An e-mail to Debra Hurcomb at the RSS, to let her know you will be =
attending, would be much appreciated. Her contact details are: e-mail: =
[log in to unmask]: 020 7614 3934.=20
Thank you in advance for your attention to this message. We look forward =
to seeing you there!
=
_________________________________________________________________________=
__________________
FURTHER SUMMARISED INFORMATION=20
Karen Dunnell, the National Statistician and Chief Registrar for England =
and Wales will be giving an introductory talk and during the day there =
will be informal case study sessions led by practising statisticians =
from the Welsh Assembly Government, GlaxoSmithKline, the Medical =
Research Council, Unilever, CACI Ltd (Financial Group) and mmr (Making =
More of Research). Immediately after lunch, colleagues from Pfizer will =
lead a plenary session on how to enter the profession as a =
pharmaceutical statistician. Operational Research sessions will be led =
by the Home Office, Tesco, British Airways, the Institute of Actuaries, =
PA Consulting and CAP Gemini
Exhibitors who have agreed to attend so far include: British Airways =
Plc, Cap Gemini UK plc, CORDA (BAE Systems), DSTL, DunnHumby, =
GlaxoSmithKline, Government OR Services, Government Statistical =
Services, Hartley McMaster Ltd, IBM, National Air Traffic Services, =
Pfizer Ltd, PA Consulting, Prospect Recruitment, QinetiQ, SPSL Retail, =
SRG Interesource, Steer Davies Gleave and the Universities of Aston, =
Kent, Lancaster, London School of Economics, Manchester, Southampton, =
Warwick and West of England ......more to follow.=20
.
=========================================================================
Date: Mon, 14 Nov 2005 18:09:02 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: SAS Programmer
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Content-Transfer-Encoding: quoted-printable
SAS Programmer - CONTRACT
=20
Salary: GBP 45-50ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a SAS Programmer to work on site for a 12 month
contract. Candidates require 5+ years of SAS/BASE, 3+ years of SAS/Macro
and 2-3 years experience of pharmaceutical data and reporting clinical
trials.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv4308'.=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Mon, 14 Nov 2005 18:35:24 +0000
Reply-To: Margaret MacDougall <[log in to unmask]>
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<[log in to unmask]>
From: Margaret MacDougall <[log in to unmask]>
Subject: The Friedman test
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Dear all
I am designing a statistical FAQ site for non-statisticians and would be grateful if anyone could point me to good web-based resources or resources which I could make available online which covers the Friedman test by any of the following means:
a) a website, pdf or PowerPoint presentation which clearly demonstrates how to perform the test using SPSS and thus does not simply provide a string of commands
and
b) a website, pdf or PowerPoint presentation which provides a lucid explanation of the motivation and associated theory in using the Friedman test.
If such resources are unavailable, I shall try to find some time to design a suitable resource myself but obviously it would be good not to have to reinvent the wheel.
Many thanks
Best wishes
Margaret
---------------------------------
To help you stay safe and secure online, we've developed the all new Yahoo! Security Centre.
=========================================================================
Date: Tue, 15 Nov 2005 08:39:14 +0000
Reply-To: Alison Stacey <[log in to unmask]>
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From: Alison Stacey <[log in to unmask]>
Subject: JOB:Senior Insight Analyst Job for Consumer Company
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Dear All,
My client, a household name is seeking a Senior Insight Analyst to join=20
their Space Planning Insight team. A degree in Operational Research would=20
certainly benefit your application as much of the role will involve=20
project work to assess and analyse the operations and locations of new=20
sites. Additionally you will analyse the performance of different=20
locations and suggest ways to optimise in order to improve future spending=20
patterns.=20
As a senior member of the team you will also be expected to lead and guide=20
other more junior members of the team supporting and possibly training=20
them on key statistical techniques. You will have a large amount of=20
influence over decision making and your analysis will become paramount to=20
planning and purchasing departments. You will be educated to degree level=20
in Operational Research, Statistics or a comparable numerical discipline=20
with Class 2:1 or above.=20
Additionally you should have 2-3 years commercial experience working in a=20
Strong Operational Research group in the public sector, a management=20
consultancy or an analytical role in retail or other blue chip company.=20
You should be familiar with Statistical packages such as SAS, SPSS, S+ or=20
similar and have awareness of other programmes such as Advanced Excel, SQL=20
and Advanced Access. As a large portion of your role will be presenting=20
your analysis to senior governors and other officials you must be=20
confident about explaining technical issues in a non-technical. Previous=20
experience of project management would be an asset to your application.=20
Call today to arrange an interview! =20
=20
Location: Home Counties
Salary: to =A340k depending on experience
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9038/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=20
=========================================================================
Date: Tue, 15 Nov 2005 08:41:52 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Project Leader Jobs =?ISO-8859-1?Q?=96?= Analyst for leading
Financial Organisation
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Content-Type: text/plain; charset=ISO-8859-1
Hello All,=20
Do you have a background in Credit plus excellent communication and team=20
building skills? My client, a well known financial institution is seeking=20
the expertise of Project Manager to lead and organise other analysts in=20
the team. You will oversee bad debt forecasting (which will be measured=20
using modelling techniques) and ensure that the impact of these decisions=20
is measured adequately.=20
Your role will involve a large amount of project work so you should have=20
up to 1 years Project Management experience and at least 3 years Credit=20
and Portfolio Analysis experience. Your project work will ensure that the=20
correct lending decisions are made you will take full responsibility for=20
the completion of the project accurately and on time.=20
A knowledge of statistical packages such as SAS, SPSS and S-Plus or=20
similar will be essential to this application along with an understanding=20
of techniques such as Data Mining, Regression, Time Series, Scorecard &=20
Model Building. For more information and to arrange an interview call=20
today!! =20
Location: West Yorkshire
Salary: to =A335k plus excellent onus and benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9039/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Tue, 15 Nov 2005 10:00:30 -0000
Reply-To: shirley coleman <[log in to unmask]>
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From: shirley coleman <[log in to unmask]>
Subject: RSS Consultancy Skills Course
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=20
=20
*************************************************************************=
***************************************************************
Consultancy Skills
A one-day training workshop for statisticians
Tuesday December 13 2005
To be held at RSS, 12, Errol Street, LONDON
Cost is =A3135 for CStat/GradStat, =A3150 for fellows, =A3200 for =
non-fellows.
A highly participative workshop for statisticians who wish to improve =
their ability to help non-statistical clients. Discussions and =
interactive exercises will allow participants to explore the =
non-statistical issues that can undermine effective consultancy.
Objectives:
1. To review the many context-related and inter-personal difficulties =
that statisticians may encounter during consultancy interactions.
2. To offer models or theories or paradigms, which shed light on why =
these difficulties arise.
3. To indicate which ways of working might be most effective with =
various clients.
Programme
10:00 Registration and coffee
10:30 "Introduction" =
Roland Caulcutt (Statistical consultant)
The statistical consultant advises his/her client on the collection, =
analysis and interpretation of data, in a particular context How do =
the roles of statistician and client differ and how well does the =
statistician need to understand the client and the context in order to =
add maximum value?
11:00 "A journey to more effective consultancy" =
Marie South (Statistical consultant)
Whether you are working as an individual, or as part of a team, =
developing your consultancy skills is a journey. In this session we =
will build on the day's learning by looking together at some of the key =
stages on that journey, and ways to lighten the load a little en route.
11:45 "Do you know what clients really want?" =
Roland Caulcutt=20
If a statistician assumes that a client's only need is statistical =
advice or data analysis, then he or she is unlikely to understand the =
difficulties that arise in the consulting relationship. Many =
psychologists have shed light on the needs that people have within the =
workplace. An understanding of these needs can help consultants to =
avoid resistance.
12:45 Lunch
13:45 "Communication between statistician and client" =
Julie Bullen (Organisational psychologist)
It has been demonstrated that communication is much easier if =
statistician and client have similar personality types. What =
difficulties are you likely to have with different types? To discover =
your personality type go to http://www.humanmetrics.com =
<http://www.humanmetrics.com/> , or http://www.personalitypathways.com. =
In the workshop we will discuss the difficulties you are likely to =
encounter and propose some ways of addressing these.
15:30 Tea
15:45 "The statistician, the client, data and decisions" =
Roland Caulcutt
Many successful organisations claim to have developed a =
management-by-fact culture. Do managers find it easy to base decisions =
on data? Can statisticians help them? An interactive business =
simulation will highlight some of the illusions that surround =
managing-by-fact.
16:45 Closing discussions
17:15 End of workshop
For further information and to register, please visit www.rss.org.uk
*************************************************************************=
*************************************************************************=
*****************
=========================================================================
Date: Tue, 15 Nov 2005 10:10:51 -0000
Reply-To: Alan Kimber <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Kimber <[log in to unmask]>
Subject: Reminder: RSS GAS MEETING ON STATISTICAL ISSUES IN ORGAN
TRANSPLANTATION
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RSS GAS MEETING ON STATISTICAL ISSUES IN ORGAN TRANSPLANTATION
Wednesday 16th November, RSS Headquarters, Errol Street, 1400-1700
Meeting organiser: Dr Alan Kimber
Contact details: 0118 378 8030, [log in to unmask]
1400-1410
Introduction
Dave Collett (UK Transplant)
An introduction to the work of UK Transplant, the organisation that
coordinates the matching and allocation of organs for transplantation,
and an outline of some of the statistical applications in this field.
1410-1435
A new UK kidney allocation scheme
Rachel Johnson (UK Transplant)
There are currently over 5000 patients waiting for a kidney transplant in
the UK.
Unfortunately, this figure rises every year as there are too few organ
donors available to enable
these patients to receive the kidney transplant that would transform their
lives.
Decisions have to be made about who should receive the limited number of
organs that become available and these decisions are based on evidence
from
transplant survival analyses and the simulation results of various kidney
allocation algorithms.
These analyses have led to revisions of the national allocation scheme,
improving equity of access to kidney transplantation.
1435-1500
Comparing and monitoring transplant centres: an application of funnel
plots and CUSUM charts
Nokuthaba Sibanda (UK Transplant)
Continued monitoring of health outcomes promotes improvement in the
delivery of healthcare,
thus benefiting the patient and the health service as a whole.
This presentation illustrates the UK Transplant experience in the
application of funnels plots and
CUSUM charts in comparing kidney transplant centres and for the ongoing
monitoring of graft failure and mortality rates.
1500-1535 Tea
1535-1600
Analysis of the potential for organ donation
Claire Hamilton (UK Transplant)
The aim was to determine the potential for solid organ donation in the UK
and discover reasons why potential donors
did not become actual donors. The reasons why relatives refused consent
for donation were investigated,
and the relative refusal rate was analysed in detail to look for
variability in the rate across the country,
over time and for various patient demographics.
1600-1625
Time-dependent effects in Cox survival models of kidney transplants
Jane Hinton (DEFRA)
Within standard survival models it is often assumed that proportional
hazards apply over the survival period.
However, it may be reasonable to expect the impact of explanatory
variables to change
over the time period between the origin and the event.
Here, three approaches (linear, piecewise and exponential) to
incorporating such time-dependent effects into
Cox survival models were employed for the analysis of 11,712 UK adult
cadaveric kidney-only
transplants taking place between 1990 and 1999.
1625-1650
A correlated frailty model applied to some corneal transplant survival data
Alan Kimber (University of Reading)
A correlated frailty model will be discussed and applied to a small
bivariate dataset.
The data are the times to graft rejection of bilateral corneal grafts for
n=119 patients at the Labafinejad Hospital in Iran.
1650-1700
Close of meeting
All timings are approximate
=========================================================================
Date: Tue, 15 Nov 2005 10:21:48 -0000
Reply-To: Steffen Lauritzen <[log in to unmask]>
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<[log in to unmask]>
From: Steffen Lauritzen <[log in to unmask]>
Subject: DeGroot Prize - Call for entries
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THE 2006 DeGroot PRIZE: CALL FOR ENTRIES
The DeGroot Prize is awarded to the author or authors of a published
book in Statistical Science. The Prize is named for Morris ("Morrie") H
DeGroot, and recognizes the impact and importance of his work in
Statistics and Decision Theory, and his marked influence on the
evolution of the discipline over several decades through his personal
scholarship, educational and professional leadership. =20
Award winning books will be textbooks or monographs concerned with
fundamental issues of statistical inference, decision theory and/or
statistical applications, and will be chosen based on their novelty,
thoroughness, timeliness, and importance of their intellectual scope.=20
=09
NOMINATION for the 2006 award MUST BE RECEIVED BY Friday, 6th January
2006. Only books published during the 5 year period ending December 31,
2004 are eligible for consideration for the prize this year. There is
no restriction on publisher or country of publication. Books authored
or co-authored by members of the selection committee are ineligible for
consideration. The winner of the 2006 DeGroot Prize will be announced
at the Valencia/ISBA Eighth World Meeting on Bayesian Statistics, June,
2006.
Letters of nomination should be submitted electronically to the chair of
the selection committee,=20
Professor Steffen L. Lauritzen=20
Department of Statistics=20
University of Oxford=20
email: [log in to unmask]
=20
Nominations should include the name of the author(s) and the book, the
date of publication, and a very brief one to two sentence supporting
statement. If the book does not include any biographical information on
the author(s), then a brief one-paragraph biographical statement for
each author would be helpful.=20
COPIES OF THE NOMINATION LETTER AND THE BOOK SHOULD BE SENT DIRECTLY TO
ALL COMMITTEE MEMBERS. The webpage=20
http://www.bayesian.org/awards/DeGrootPrize.html
contains the full list of the members and their addresses, as well as
further information about the prize.=20
Best regards,
Steffen Lauritzen
--
=========================================================================
Date: Tue, 15 Nov 2005 11:10:47 -0000
Reply-To: "Allan Reese (Cefas)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Allan Reese (Cefas)" <[log in to unmask]>
Subject: Query re Ratio statistics
MIME-Version: 1.0
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I'm working with ratio data. The statistic of interest is the ratio of two=
measurements. Both measurements are counts but are large with proportiona=
l accuracy, and each follows a lognormal distribution. Typical values for =
the ratio are 10^4 to 10^8. I'm looking for any theory to support distribu=
tional assumptions.=20
I across some SPSS documentation on a procedure I'd not previously noticed.=
"Ratio statistics" is in the base module.
http://www.rrz.uni-hamburg.de/RRZ/Software/SPSS/Algorith.115/ratio.pdf
lists the formulae.
The reason for writing is that the documentation, and a footnote in the out=
put, state the assumption that the ratios follow a *normal* distribution. =
The standard I'm working to assumes that ratios will follow a *log-normal* =
distribution.
I found plenty of references to the ratio of two *standard* normal variates=
(Cauchy) and plenty to ratios of quadratic functions of normal variates (F=
). Kendall (Advanced Theory of Statistics) gives a general integral for X/=
Y in terms of distributions and characteristic functions. Attempting to ap=
ply this, the ratio of two independent normal variates seems to integrate b=
ack to a normal distribution (dF proportional to exp(-x^2)). =20
However, running simulations (500 repeats of 2000 sample pairs), suggests p=
retty conclusively that the ratio does not follow a normal distribution but=
is fully consistent with a lognormal. From simulations: normal/normal -> =
lognormal; lognormal/lognormal -> lognormal.
I think this happens because both counts (called N and Na) are definitely p=
ositive numbers with pretty small CVs. Taking the inverse of a standard no=
rmal distribution gives a distribution with an asymptote at zero, but 1/Na =
gives another simple peaked distribution. Hence N/Na is very like a
product of independent normal variates and tends to a lognormal distributio=
n.
Would anyone like to comment or point to references on whether it is more c=
orrect to assume that the ratio of two variates will follow a normal, logno=
rmal or other distribution?
Allan
***************************************************************************=
********
This email and any attachments are intended for the named recipient only. =
Its unauthorised use, distribution, disclosure, storage or copying is not p=
ermitted. If you have received it in error, please destroy all copies and =
notify the sender. In messages of a non-business nature, the views and opi=
nions expressed are the author's own and do not necessarily reflect those o=
f the organisation from which it is sent. All emails may be subject to mon=
itoring.
***************************************************************************=
********
=========================================================================
Date: Tue, 15 Nov 2005 12:35:31 +0100
Reply-To: "BXC (Bendix Carstensen)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "BXC (Bendix Carstensen)" <[log in to unmask]>
Subject: Re: Query re Ratio statistics
Comments: To: "Allan Reese (Cefas)" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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If X and Y are log-normal, then log(X) and log(Y) are normal, hence
log(X)-log(Y)=3Dlog(X/Y) is normal too, and so X/Y is log-normal.
Best,
Bendix
----------------------
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Niels Steensens Vej 2
DK-2820 Gentofte
Denmark
tel: +45 44 43 87 38
mob: +45 30 75 87 38
fax: +45 44 43 07 06
[log in to unmask]
www.biostat.ku.dk/~bxc
----------------------
> -----Original Message-----
> From: A UK-based worldwide e-mail broadcast system mailing=20
> list [mailto:[log in to unmask]] On Behalf Of Allan Reese (Cefas)
> Sent: Tuesday, November 15, 2005 12:11 PM
> To: [log in to unmask]
> Subject: Query re Ratio statistics
>=20
>=20
> I'm working with ratio data. The statistic of interest is=20
> the ratio of two measurements. Both measurements are counts=20
> but are large with proportional accuracy, and each follows a=20
> lognormal distribution. Typical values for the ratio are=20
> 10^4 to 10^8. I'm looking for any theory to support=20
> distributional assumptions.=20
>=20
> I across some SPSS documentation on a procedure I'd not=20
> previously noticed. "Ratio statistics" is in the base=20
> module.=20
> http://www.rrz.uni-hamburg.de/RRZ/Software/SPSS/Algorith.115/ratio.pdf
> lists the formulae.
>=20
> The reason for writing is that the documentation, and a=20
> footnote in the output, state the assumption that the ratios=20
> follow a *normal* distribution. The standard I'm working to=20
> assumes that ratios will follow a *log-normal* distribution.
>=20
> I found plenty of references to the ratio of two *standard*=20
> normal variates (Cauchy) and plenty to ratios of quadratic=20
> functions of normal variates (F). Kendall (Advanced Theory=20
> of Statistics) gives a general integral for X/Y in terms of=20
> distributions and characteristic functions. Attempting to=20
> apply this, the ratio of two independent normal variates=20
> seems to integrate back to a normal distribution (dF=20
> proportional to exp(-x^2)). =20
>=20
> However, running simulations (500 repeats of 2000 sample=20
> pairs), suggests pretty conclusively that the ratio does not=20
> follow a normal distribution but is fully consistent with a=20
> lognormal. From simulations: normal/normal -> lognormal;=20
> lognormal/lognormal -> lognormal.
>=20
> I think this happens because both counts (called N and Na)=20
> are definitely positive numbers with pretty small CVs. =20
> Taking the inverse of a standard normal distribution gives a=20
> distribution with an asymptote at zero, but 1/Na gives=20
> another simple peaked distribution. Hence N/Na is very like=20
> a product of independent normal variates and tends to a=20
> lognormal distribution.
>=20
> Would anyone like to comment or point to references on=20
> whether it is more correct to assume that the ratio of two=20
> variates will follow a normal, lognormal or other distribution?
>=20
> Allan
>=20
>=20
> **************************************************************
> *********************
> This email and any attachments are intended for the named=20
> recipient only. Its unauthorised use, distribution,=20
> disclosure, storage or copying is not permitted. If you have=20
> received it in error, please destroy all copies and notify=20
> the sender. In messages of a non-business nature, the views=20
> and opinions expressed are the author's own and do not=20
> necessarily reflect those of the organisation from which it=20
> is sent. All emails may be subject to monitoring.
> **************************************************************
> *********************
>=20
=========================================================================
Date: Tue, 15 Nov 2005 11:40:35 -0000
Reply-To: "Allan Reese (Cefas)" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Allan Reese (Cefas)" <[log in to unmask]>
Subject: Answered: Query re Ratio statistics
MIME-Version: 1.0
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Thanks to Eryl Bassett for an instant and persuasive answer to my specific =
problem: why should the ratio of two lognormal variables itself be lognorma=
l. The wider question, of deriving distributions of ratios for other non-c=
entral variables, I'm happy to leave open. Why SPSS should assume a normal=
distribution has been forwarded to the SPSS discussion list.
Allan
-----Original Message-----
From: E.E.Bassett [mailto:[log in to unmask]]
Sent: 15 November 2005 11:21
Am I missing something here? If X and Y are both logNormal, then log
X and log Y are Normal, and the log of the ratio Y/X is just the
difference between two Normal rvs, so is Normal. When you
anti-log again to get Y/X, this is of course logNormal.
***************************************************************************=
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=========================================================================
Date: Tue, 15 Nov 2005 12:08:48 +0000
Reply-To: Randy Banks <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Randy Banks <[log in to unmask]>
Subject: [CONFERENCE] - ASC - Reporting and Dissemination - 2006-04-21 -
Call for Papers
Comments: To: ASC Announcements <[log in to unmask]>
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**************************************************************
*** an announcement from The Association for Survey Computing.
*** Apologies for any cross-postings
**************************************************************
REPORTING AND DISSEMINATION PRACTICES
Friday 21st April 2006
Imperial College, London
ANNOUNCEMENT AND CALL FOR PAPERS
The Association for Survey Computing is organising a conference on the to=
pic of=20
'Delivering Results'. This one day event will focus primarily on what hap=
pens to=20
data after collection and initial/intermediate processing. We are particu=
larly=20
keen in investigating how information is communicated by those conducting=
the=20
research to the clients that have commissioned the work, the stakeholders=
or=20
even the public that will view the results.
Topics will include, but are not limited to:
* Presenting Findings =96 Static PowerPoint and PDF presentations versus =
interactive reporting and analysis tools
* Establishing Context =96 Relating survey results to other existing data=
, such as=20
Census, Geodemographics & Mapping information
* Portals & Dashboards =96 Presenting results on-line and interactively
* Preparation, communication and presentation of performance data in the =
public=20
sector
* Communication of Complex Information =96 From mystery shopping data to =
hierarchical continuous studies =96 How do you communicate and target the=
findings=20
of surveys?
In organising this one day event, we hope to answer some fundamental ques=
tions=20
about what normally constitutes the final event in the survey lifecycle :=
* How do we currently approach the delivery of results?
* Why do work in this way?
* What innovations lie ahead in the future for delivery of findings?
We welcome case studies of current or past projects, demonstrations of ex=
isting=20
solutions or overviews of the delivery and communication process in gener=
al.
Synopses from potential speakers and expressions of interest from delegat=
es and=20
exhibitors should be addressed the ASC Administrator at the address below=
=2E
--------------------------------------------------------------------
Please reply to:
Diana Elder, Administrator ([log in to unmask])
ASC, PO Box 60, Chesham, Bucks, UK HP5 3QH
tel/fax: +44 (0)1494 793033
http://www.asc.org.uk
This message has been sent on behalf the ASC by:
Randy Banks ([log in to unmask])
Institute for Social and Economic Research (ISER)
University of Essex, Colchester, UK CO4 3SQ
---------------------------------------------------------------------
=========================================================================
Date: Tue, 15 Nov 2005 12:06:31 +0000
Reply-To: Stefano Sofia <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stefano Sofia <[log in to unmask]>
Subject: Query: variances in Dynamic Linear Models
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Dear Allstat users,
here a question about the correct interpretation of variances in Dynamic
Linear Models.
A DLM is basically formed by two equations:
1.
the observational equation which describes the relationship between the
observation "y" and an unknown parameter "a"; this equation can
generally be written as y(t) = F(t)a(t) + sigma(t)
where "F" is a regression vector and "sigma" is the observational variance
2.
the state equation which rules the updating of the unkown parameter
itself; it can be written as a(t) = M(t)a(t-1) + omega(t)
where "omega" is called the system variance
I usually apply DLM to environmental time series (rainfall and
temperature); is there a way to understand qualitatively the meaning of
these two variances and a way to evaluate a roughly sensible range of
their values? Can I do something simply looking at the original time
series and the way I expect the model behaves?
I hope this question is clear enough
thank you for your help
Stefano
=========================================================================
Date: Tue, 15 Nov 2005 12:24:34 +0000
Reply-To: Peter Lynn <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Lynn <[log in to unmask]>
Organization: University of Essex
Subject: Announcement: Student Paper Prize - Longitudinal Surveys
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
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MOLS2006, the International Conference on the Methodology of=20
Longitudinal Surveys, will be held in Essex, UK, in July 2006.
<>
The conference organisers are pleased to announce that a prize will be=20
awarded for the best paper presented at the conference by a full-time=20
student. A panel of judges will select the best paper based both on the=20
written paper and the presentation, with approximately equal weight=20
given to each. To be eligible, both the first author of the paper and=20
the presenter must be a full-time student enrolled during 2005-06 in a=20
recognised educational establishment. It is acceptable for the paper to=20
be co-authored by the student's supervisor or other non-student.
The prize, sponsored by John Wiley and sons, will be a set of books from=20
the Wiley Survey Methodology=20
<http://eu.wiley.com/WileyCDA/Section/id-2625.html>series, with a list=20
price of over =A3300 (over US$500). The winner will also receive a=20
certificate.
To be considered for the prize, the paper must be accepted as a=20
contributed conference paper. An abstract must be submitted by 19=20
December 2005. Additionally, a full written paper must be submitted by=20
25 May 2006 for consideration by the judges. In both the paper and=20
presentation, we are looking for clarity of thought and of presentation=20
and originality and relevance of the contribution. We reserve the right=20
to request proof of student status. The prize will be awarded during the=20
final plenary session of the conference by the conference Chair.
For more information about the prize and the conference:=20
http://www.iser.essex.ac.uk/ulsc/mols2006/
*************************************
Peter Lynn ([log in to unmask])
Professor of Survey Methodology
Institute for Social and Economic Research (ISER)
University of Essex, Colchester, UK CO4 3SQ
tel: +44 (0)1206 874809; fax: +44 (0)1206 873151
http://www.iser.essex.ac.uk/
=========================================================================
Date: Tue, 15 Nov 2005 12:32:44 +0000
Reply-To: Gordon Taylor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gordon Taylor <[log in to unmask]>
Subject: RSS Medical Section half day meeting (29,11,05): 'Statistics in
the post-genomic age'
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ROYAL STATISTICAL SOCIETY MEDICAL SECTION
Tuesday 29 November 2005 2.00-5.00 (tea at 3.10).
To be held at the RSS, 12 Errol Street, London EC1Y 8LX
(directions http://www.rss.org.uk/about/direction.html)
Pre-registration is recommended - please email [log in to unmask] <mailto:[log in to unmask]> <mailto:[log in to unmask]> or tel. 020 7638 8998 to register.
'Statistics in the post-genomic age'
A half-day meeting of presentations
2.00 Wally Gilks. MRC Biostatistics Unit, Cambridge.
2.35 Heather J. Cordell, Department of Medical Genetics, University
of Cambridge.
3.10 Tea
3.40 Sylvia Richardson, Imperial College, London.
4.20 Jenny Barrett, Division of Genetic Epidemiology, University of
Leeds.
5.00 Close
Titles and abstracts
Statistical Bioinformatics: an overview.
Wally Gilks. MRC Biostatistics Unit, Cambridge.
The rapid expansion of DNA, protein, gene expression and other genomic
databases has spawned the field of bioinformatics. Work in this field
spans the development of databases and algorithms, and research in basic
biology, genetics and medicine. I will briefly review the state of the
art, focussing on current and potential areas of involvement of
statisticians.
Regression methods for SNP data in case/control and family studies.
Heather J. Cordell, Department of Medical Genetics, University of Cambridge.
Here I discuss methods of design and analysis of genetic association
studies. There are many similarities between genetic association studies
and classical epidemiological studies of environmental risk factors, but
there are also issues specific to studies of genetic risk factors such
as the use of certain family-based designs, accounting for different
underlying genetic mechanisms and the impact of population history.
Statistical analysis of gene expression data
Sylvia Richardson, Imperial College, London.
The powerful technology of cDNA or oligonucleotide microarray makes it
possible to study simultaneously the expression of thousands of genes in
different samples. To interpret and model this vast body of data poses
interesting statistical challenges. Issues of signal extraction,
normalisation and how to find groups of genes that are differentially
expressed will be discussed. The flexibility and benefits of using a
Bayesian hierarchical modelling framework to perform such analyses will
be illustrated.
Statistical issues in clinical proteomics
Jenny Barrett, Division of Genetic Epidemiology, University of Leeds.
Proteomics concerns the identification and characterisation of expressed
proteins in an organism. The subject will be introduced, focusing on
SELDI mass spectrometry profiles. Statistical issues in experimental
design, pre-processing and peak detection will be discussed, before
moving on to identification of differences between peak profiles in
different sample groups. Methods will be illustrated with
clinically-motivated examples.
=========================================================================
Date: Tue, 15 Nov 2005 13:06:30 +0000
Reply-To: Angie Wade <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Angie Wade <[log in to unmask]>
Subject: CHRAT
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>
>Institute of Child Health, University College London - Great Ormond Street
>Hospital NHS Trust
>
>PhD studentships
>
>The joint institutions are offering a number of three-year research PhD
>studentships to start in the academic year 2006.
>Full details and how to apply can be found at
>http://www.ich.ucl.ac.uk/ich/humanresources
>
>For further information about the ICH see our website,
>http://www.ich.ucl.ac.uk
>Applications are invited from committed individuals wishing to do research
>in a clinical context,
>and who expect to graduate with a UK 1st class or upper 2nd class honours
>degree or equivalent.
>
>
>Three projects are ideally suited to individuals with a strong background
>in Mathematics and Statistics:
>
>1. Applications of functional data analysis in physiotherapy and life
>course epidemiology.
> Supervisors: Dr Mario Cortina Borja and Professor Tim Cole
>
>2. Creating age-related centiles with smaller sample sizes.
> Supervisors: Dr Angie Wade and Professor Tim Cole
>
>3. Infection in neonatal intensive care units: health care
>determinants and outcomes.
> Supervisors: Dr Ruth Gilbert and Dr Mario Cortina Borja
>
>The PhD students will be based within the Centre for Paediatric
>Epidemiology and Biostatistics at the Institute of Child Health.
>More information about the Centre is available from:
>http://www.ich.ucl.ac.uk/ich/html/academicunits/paed_epid/paed_ep_unit.html
>
>Informal enquiries may be made to the supervisors.
>Applications should include a CV and the names and email addresses of two
>academic referees.
>
>Eligibility: Full studentships are available to UK applicants.
>Other EU applicants may apply for a fees-only award. Non-EU residents are
>not available for funding.
>
>Closing date for applications: 6th January 2006.
>Interview dates: 30th and 31st January 2006.
>
>If you wish to visit the ICH to discuss these opportunities, there is an
>Open Day on 23rd November 2005 from 2.00pm.
>This will include a display of posters by PhD students which demonstrates
>the range of ICH research.
>
>Project abstracts
>
>1. Applications of functional data analysis in physiotherapy and life
>course epidemiology
>
>Hypothesis: Functional Data Analysis provides a better understanding of
>intrinsic aspects of the data regarded as curves
>than conventional statistical methods.
>
>Aims and methods: Functional data (FD) consist of samples of curves,
>images, or other types of function (1,2).
>These forms of data occur often in clinical and epidemiological studies:
>examples include a child's height measured repeatedly,
>ECG traces, angles formed by the hip and the knee during a child's gait
>cycles, and age-related patterns of viral load
>in an HIV infected child. In all these examples the data change according
>to another variable, usually time,
>and can be plotted as a curve; the aim of FD analysis (FDA) is to model
>characteristics intrinsic to the curves
>(e.g. cyclical patterns or changes in the function's derivatives). The
>curves can also be multivariate: for instance,
>we may be interested in the joint description of height and weight over time.
>
>There are three types of analysis involving FD. In the simplest case we
>seek to quantify the ways in which individual
>curves vary among themselves, for instance differences in growth patterns
>among children. The second case is a regression
>model with a scalar response variable and FD explanatory variables. For
>instance we could model the mucous expulsion from
>the airways as a function of the force-time profile of a physiotherapist's
>hand pressing on a child's chest wall, recorded
>on a mat during physiotherapy manoeuvres (3); this can be plotted as a
>curve versus time and is thus FD. Other examples
>refer to the effect of variables measured in early life, e.g. early growth
>patterns, on the life course e.g. later chronic
>disease (4-6). In the third case the response variable is itself
>functional, with scalar and possibly FD explanatory variables.
>Children with brain injury walk along an electronic walkway which provides
>co-ordinates of point of force/pressure under the
>foot over time so each footfall provides a trace showing the path of the
>centre of pressure (7). The FD response variable is
>the pressure pattern, and this can be related to the child's status (e.g.
>brain injury or control) and other factors relating
>to their severity of injury and/or degree of recovery.
>
>We have access to datasets provided courtesy of Dr Eleanor Main from the
>Portex and Physiotherapy Department at GOSH,
>and to data sets from the Centre for Paediatric Epidemiology and
>Biostatistics relating to life course research (8).
>
>The student will: apply advanced programming in R, review applications of
>FDA in clinical and epidemiological contexts,
>discuss general inference procedures in FDA, and develop models for the
>datasets available.
>
>
>References:
>1. Ramsay J, Silverman BW. Functional data analysis (2nd ed.). New
>York: Springer; 2005.
>2. Ramsay JO, Silverman BW. Applied functional data analysis. New
>York: Springer; 2002.
>3. Gregson RK, Petley GW, Browne M, Pickering RM, Warner JO. A new
>method to quantify manual paediatric chest physiotherapy techniques.
> Physiotherapy 2003;89:611-2
>4. Cole TJ. Modeling postnatal exposures and their interactions with
>birth size. J Nutr 2004;134:201-4.
>5. Singhal A, Fewtrell M, Cole TJ, Lucas A. Low nutrient intake and
>early growth for later insulin resistance in adolescents born preterm.
> Lancet 2003;361:1089-97.
>6. Singhal A, Cole TJ, Fewtrell M, Deanfield J, Lucas A. Is slower
>early growth beneficial for long-term cardiovascular health?
> Circulation 2004;109:1108-13.
>7. Alderson LM, Peters J. Dynamic balance in children with
>coordination problems: the usefulness of the 'Gaitrite' mat.
> In: 6th International Conference on Children with Developmental
> Coordination Disorder; 2005; Trieste; 2005.
>8. de Stavola BL, Nitsch D, dos Santos Silva I, McCormack V, Hardy R,
>Mann V, Cole TJ, Morton S, Leon DA.
> Statistical issues in life course epidemiology. Am J Epidemiol
> 2005;(in press).
>
>Contact: [log in to unmask]
>
>2. Creating age-related centiles with smaller sample sizes.
>
>Hypothesis: The joint modelling of several correlated outcomes to create
>age-related centiles will require fewer measurements
>to achieve the same precision than when each outcome is modelled
>separately. The development of this methodology will be of
>widespread clinical usage.
>
>Aims and Methods: Population reference centiles are used within clinical
>practice to contrast a measurement for a single subject
>with the values seen in a control population. In paediatric applications,
>it is often necessary to adjust reference centiles
>for the age of the child. The statistical aspects of constructing
>age-related centile curves have developed greatly over the last
>10-15 years and have been an area of particular interest to the project
>supervisors (1-10). One area that has not been investigated
>is the joint modeling of correlated outcomes, an approach which will lead
>to greater precision for each univariate set of centiles.
>This development will be particularly important where the collection of
>samples and/or measurements from normal individuals is problematic.
>Each of 3 locally available datasets involving correlated outcomes have
>previously been the subject of developments in the field:
>
>1. Ratings of emotion recognition (10): There are six6 types of emotion to
>be recognised (fear, surprise, anger, happiness,
>sadness and disgust). These data are by nature multinomial although, and
>previous analyses have treated each emotion as
>a separate ordinal outcome (10).
>2. Assessment of visual acuity (5,9): For each child, 4 related
>measurements are made: 2 with both eyes open and 1 for each
>of the eyes separately (other eye patched). If vision is bad in one eye
>then this may manifest itself additionally when
>the eyes are tested jointly.
>3. Immunological measurements of CD4, CD8 and lymphocytes (1,4,7): CD4
>and CD8 are conventionally analysed as percentages of
>all lymphocytes. The percentages of CD4 and CD8 cells are thus inversely
>related to each other and also to CD4, CD8 and absolute
>lymphocyte counts.
>
>The student will develop multivariate methods and quantify how this
>approach affects the sample sizes necessary to obtain
>a specified centile precision. The student will also investigate
>multivariate assessment of individuals i.e. assignment of a
>single composite centile score to an individual dependent on their
>measurement portfolio and contrast the usefulness and
>applicability of composite versus separate scores.
>
>References:
>1. Wade AM, Ades AE, Dunn DT, Newell M-L, Peckham CS with De Maria A
>[The European Collaborative Study].
> Age-related standards for T lymphocyte subsets based on
> uninfected children born to human immunodeficiency
> virus 1-infected women. Pediatr Infect Dis J 1992; 11): 1018-1026.
>2. Cole TJ. Fitting smoothed centile curves to reference data (with
>discussion). J Roy Statist Soc A 1988; 151: 385-418.
>3. Cole TJ, Green PJ. Smoothing reference centile curves: the LMS
>method and penalized likelihood. Stat Med 1992; 11: 1305-1319.
>4. Wade AM, Ades AE. Age-related reference ranges: significance tests
>for models and confidence intervals for centiles.
> Stat Med 1994; 13: 2359-2367.
>5. Wade AM, Ades AE, Salt AT, Jayatunga R, Sonksen PM. Age-related
>standards for ordinal data: modelling the changes
> in visual acuity from 2 to 9 years of age. Stat Med 1995; 14:
> 257-266.
>6. Cole TJ, Freeman JV, Preece MA. British 1990 growth reference
>centiles for weight, height, body mass index and
> head circumference fitted by maximum penalized likelihood. Stat
> Med 1998; 17: 407-429.
>7. Wade AM, Ades AE. Incorporating correlations between measurements
>into the estimation of age-related reference ranges.
> Stat Med 1998; 17:1989-2002.
>8. Pan H, Cole TJ. A comparison of goodness of fit tests for
>age-related reference ranges. Stat Med 2004; 23: 1749-1765.
>9. Wade AM, Salt AT, Proffitt RV, Heavens SJ, Sonksen PM.
>Likelihood-based modelling of age-related normal ranges for ordinal
> measurements: changes in visual acuity through early childhood.
> Stat Med 2004; 23: 3623-3640.
>10. Wade A, Lawrence K, Mandy W, Skuse D. Charting the development of
>emotion recognition from 6 years of age.
> Journal of Applied Statistics. In Press. August 2005.
>
>Contact: [log in to unmask]
>
>
>3. Infection in neonatal intensive care units: health care determinants
>and outcomes.
>
>Hypothesis: Better understanding of the determinants and consequences of
>hospital acquired infection in neonatal intensive care units
>would lead to the development of reliable measures of infection control.
>
>Aims and Methods: The long term aim of the study is to reduce serious
>bacterial infections in neonatal intensive care units (NICUs)
>through better understanding of the reasons for variation in the incidence
>of infection and its consequences. Specific objectives of the
>project are to compare the incidence of bacteraemia in babies admitted to
>NICUs, adjusted for routinely collected risk factors. The study
>will develop analytic and data collection methods for ongoing surveillance
>to measure the effect of interventions to reduce serious
>bacterial infection and evaluate variation between units. A secondary aim
>is to examine the association between bacteraemia and subsequent
>health outcomes during the first few years of life.
>
>Newborn babies admitted for neonatal intensive care rank among the
>populations at highest risk of bacteraemia (bloodstream infection) (1)
>due partly to the relative immune deficiency of premature newborns and the
>use of highly invasive and prolonged supportive care.
>Approximately, 75% of NICU inpatients receive antibiotics, and
>increasingly antibiotics are used intrapartum (2).
>Between 10% and 20% of babies admitted to NICU experience at least one
>episode of bacteraemia (3).
>
>In the UK, information is lacking about how the types of organisms causing
>bacteraemia vary between NICUs, whether these have changed over
>time, and what the consequences of infection are for subsequent
>health.3 In North America, coagulase negative staphylococcal bacteraemia
>has been used as a marker of the quality of infection control and an
>outcome measure for changing practices.4 Analytic methods for monitoring
>risk stratified incidence rates of bacteraemia in NICU need to be
>developed and tested using NHS datasets.
>
>Three datasets (total 6000 patients) are available, ethics approved, and
>cleaned ready for analysis. More sites can join during the project.
>We will examine potential biases in comparing rates over time and between
>units, and use different modelling approaches for risk stratification,
>calculation of incidence rates, and for measuring divergent performance.5
>The aim will be to develop and validate an audit template for monitoring
>bacteraemia rates more widely in the NICUs. This studentship would be
>appropriate for someone with experience of programming and data manipulation,
>and statistical and/or epidemiological expertise.
>
>References:
>1. Nosocomial Infection National Surveillance Service. Surveillance
>of hospital-acquired Bacteraemia in English Hospitals.
> 2002. London, Public Health Laboratory Service.
>2. Gilbert, RE, Pike K, Kenyon SL, Tarnow-Mordi W, Taylor DJ. The
>effect of pre-partum antibiotics on the type of
> neonatal bacteraemia: insights from the MRC ORACLE trials. BJOG
> 2005;112(6):830-832.
>3. Gilbert RE Prenatal screening for group B streptococcal infection:
>gaps in the evidence. IJE 2004;33(1):2-8
>4. Kilbride HW, Wirtschafter DD, Powers RJ, Sheehan MB Implementation
>of evidence-based potentially better practices to
> decrease nosocomial infections. Pediatrics. 2003 Apr;111(4 Pt
> 2):e519-33.
>5. Spiegelhalter, DJ. Monitoring clinical performance: a commentary.
>J Thorac Cardiovasc Surg. 2004 Dec;128(6):820-2.
>
>Contact: [log in to unmask]
>
>
>The UCL Institute of Child Health (ICH) is a postgraduate research
>institution which, together with its partner,
>Great Ormond Street Hospital for Children NHS Trust, contains the largest
>concentration of research expertise in
>the scientific basis of child health in Europe. Its standing is reflected
>in the Grade 5*A awarded in the 2001 HEFCE
>Research Assessment Exercise. The Institute is committed to high quality
>postgraduate education and has a strong
>track record of training and support for its postgraduates. R&D is
>organised into a number of themes operating across
>the site which facilitate a high level of interaction between basic
>scientists, clinicians and population health scientists.
>
>The Institute is offering a number of research studentships for the
>academic year 2006-07 supported by the
>Child Health Research Appeal Trust (CHRAT) and MRC (Medical Research
>Council). Applicants selected for CHRAT or MRC
>funding will be able to choose from the proposed PhD projects
>
>Please note, applications that are submitted without following the correct
>procedure may not be considered.
>4-year PhD studentships funded by the Medical Research Council are also
>tenable at ICH, in the project areas
>listed above. To apply for a UCL 4 year MRC DTA PhD studentship, please
>see: http://www.ucl.ac.uk/mrc-dta
>.
>
>
>
=========================================================================
Date: Tue, 15 Nov 2005 13:10:08 +0000
Reply-To: Julian Stander <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Julian Stander <[log in to unmask]>
Subject: ANNOUNCE: REMINDER: GAS Meeting on Statistical Issues in Organ
Transplantation
I would like to remind list members about the meeting
on Statistical Issues in Organ Transplantation, on Wednesday, 16th
November, organized by the General Applications Section (GAS) of
the Royal Statistical Society (RSS).
Thank you
Julian Stander
GAS Secretary
[log in to unmask]
----------------------------------------------------------------
RSS GAS MEETING ON STATISTICAL ISSUES IN ORGAN TRANSPLANTATION
Wednesday 16th November, RSS Headquarters, Errol Street, 1400-1700
Meeting organiser: Dr Alan Kimber
Contact details: 0118 378 8030, [log in to unmask]
1400-1410
Introduction
Dave Collett (UK Transplant)
An introduction to the work of UK Transplant, the organisation that
coordinates the matching and allocation of organs for transplantation,
and an outline of some of the statistical applications in this field.
1410-1435
A new UK kidney allocation scheme
Rachel Johnson (UK Transplant)
There are currently over 5000 patients waiting for a kidney transplant in
the UK.
Unfortunately, this figure rises every year as there are too few organ
donors available to enable
these patients to receive the kidney transplant that would transform their
lives.
Decisions have to be made about who should receive the limited number of
organs that become available and these decisions are based on evidence
from
transplant survival analyses and the simulation results of various kidney
allocation algorithms.
These analyses have led to revisions of the national allocation scheme,
improving equity of access to kidney transplantation.
1435-1500
Comparing and monitoring transplant centres: an application of funnel
plots and CUSUM charts
Nokuthaba Sibanda (UK Transplant)
Continued monitoring of health outcomes promotes improvement in the
delivery of healthcare,
thus benefiting the patient and the health service as a whole.
This presentation illustrates the UK Transplant experience in the
application of funnels plots and
CUSUM charts in comparing kidney transplant centres and for the ongoing
monitoring of graft failure and mortality rates.
1500-1535 Tea
1535-1600
Analysis of the potential for organ donation
Claire Hamilton (UK Transplant)
The aim was to determine the potential for solid organ donation in the UK
and discover reasons why potential donors
did not become actual donors. The reasons why relatives refused consent
for donation were investigated,
and the relative refusal rate was analysed in detail to look for
variability in the rate across the country,
over time and for various patient demographics.
1600-1625
Time-dependent effects in Cox survival models of kidney transplants
Jane Hinton (DEFRA)
Within standard survival models it is often assumed that proportional
hazards apply over the survival period.
However, it may be reasonable to expect the impact of explanatory
variables to change
over the time period between the origin and the event.
Here, three approaches (linear, piecewise and exponential) to
incorporating such time-dependent effects into
Cox survival models were employed for the analysis of 11,712 UK adult
cadaveric kidney-only
transplants taking place between 1990 and 1999.
1625-1650
A correlated frailty model applied to some corneal transplant survival data
Alan Kimber (University of Reading)
A correlated frailty model will be discussed and applied to a small
bivariate dataset.
The data are the times to graft rejection of bilateral corneal grafts for
n=119 patients at the Labafinejad Hospital in Iran.
1650-1700
Close of meeting
All timings are approximate
=========================================================================
Date: Tue, 15 Nov 2005 13:21:13 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Job: Graduate Trainee Recruitment Consultant
=?ISO-8859-1?Q?=96_Join_Winning_Team_=96?= Croydon Office
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
I=92ve been asked to forward this to the list =96 please respond to the=20
details given and not to me. The advertisement below can be viewed by=20
following this link:-=20
http://www.corporate-recruiter.com/TopTemplate.aspx?page=3D32.=20
About Us:
Corporate Recruiter is a leading name in the recruitment of numerical=20
staff. Due to unprecedented growth in demand for our services from our=20
blue-chip client base we opened new and bigger offices earlier this year.=20
These are located in Central Croydon near trams, buses and East Croydon=20
mainline station (which is 10mins from Victoria).=20
Our 2005 summer intake of graduates are already highly successful giving=20
rise to two further openings for enthusiasts who are passionate about=20
delivering a top class service and eager to contribute to a winning team.=20
We seek recent graduates who are keen to learn how to handle existing=20
business and develop new avenues within our market niche. We are in the=20
enviable position of having both clients and candidates in a candidate=20
short market. We need you to put the two together and make a respectable=20
living in the process.=20
Training, Progression & Opportunity:=20
New entrants join Corporate Recruiter=92s Academy where you will be=20
intensely trained in all aspects of professional recruitment including=20
proactive candidate sourcing, candidate evaluation, business development,=20
process management and deal control. Training is a mixture of class room=20
learning, videos, role-plays, external trainers and practical on the job=20
work experience. Initially this work experience will comprise of working=20
closely with one of our Team Leaders in a research / resourcing capacity=20
where you will have responsibility for writing advertisements, sourcing=20
and evaluating candidates as well as prospecting for new business.=20
Upon graduation in 3-6 months you will then be promoted to work as a=20
Trainee Consultant developing your own clients and running your own desk.
Person Specification:=20
Providing you are of graduate calibre, have strong written and verbal=20
communication skills, are persuasive, driven =96 yet ethical, and can=20
demonstrate an aptitude for direct Business to Business sales (as opposed=20
to retail / consumer sales) you will quickly succeed in our friendly=20
supportive environment where results means rewards! Candidates with a=20
degree in Economics, Econometrics and / or Business are particularly=20
welcome.=20
Location:
Please note these openings are based in Central Croydon.
Application:
Please apply online with a covering letter outlining why you think you=20
would be good for this position, alternatively call Penny Martin on 020=20
7861 9987 for further information. Follow this link to apply online=20
http://www.corporate-recruiter.com/TopTemplate.aspx?page=3D32.
=========================================================================
Date: Tue, 15 Nov 2005 11:56:29 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Graduate Trainee Recruitment Consultant
=?ISO-8859-1?Q?=96_Join_Winning_Team_=96?= Croydon Office
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
I=92ve been asked to forward this to the list =96 please respond to the=20
details given and not to me. The advertisement below can be viewed by=20
following this link:
http://www.corporate-recruiter.com/TopTemplate.aspx?page=3D32.=20
About Us:
Corporate Recruiter is a leading name in the recruitment of numerical=20
staff. Due to unprecedented growth in demand for our services from our=20
blue-chip client base we opened new and bigger offices earlier this year.=20
These are located in Central Croydon near trams, buses and East Croydon=20
mainline station (which is 10mins from Victoria).=20
Our 2005 summer intake of graduates are already highly successful giving=20
rise to two further openings for enthusiasts who are passionate about=20
delivering a top class service and eager to contribute to a winning team.=20
We seek recent graduates who are keen to learn how to handle existing=20
business and develop new avenues within our market niche. We are in the=20
enviable position of having both clients and candidates in a candidate=20
short market. We need you to put the two together and make a respectable=20
living in the process.=20
Training, Progression & Opportunity:=20
New entrants join Corporate Recruiter=92s Academy where you will be=20
intensely trained in all aspects of professional recruitment including=20
proactive candidate sourcing, candidate evaluation, business development,=20
process management and deal control. Training is a mixture of class room=20
learning, videos, role-plays, external trainers and practical on the job=20
work experience. Initially this work experience will comprise of working=20
closely with one of our Team Leaders in a research / resourcing capacity=20
where you will have responsibility for writing advertisements, sourcing=20
and evaluating candidates as well as prospecting for new business.=20
Upon graduation in 3-6 months you will then be promoted to work as a=20
Trainee Consultant developing your own clients and running your own desk.
Person Specification:=20
Providing you are of graduate calibre, have strong written and verbal=20
communication skills, are persuasive, driven =96 yet ethical, and can=20
demonstrate an aptitude for direct Business to Business sales (as opposed=20
to retail / consumer sales) you will quickly succeed in our friendly=20
supportive environment where results means rewards! Candidates with a=20
degree in Economics, Econometrics and / or Business are particularly=20
welcome.=20
Location:
Please note these openings are based in Central Croydon.
Application:
Please apply online with a covering letter outlining why you think you=20
would be good for this position, alternatively call Penny Martin on 020=20
7861 9987 for further information. Follow this link to apply online=20
http://www.corporate-recruiter.com/TopTemplate.aspx?page=3D32.
=========================================================================
Date: Tue, 15 Nov 2005 15:55:50 -0000
Reply-To: Alan Brophy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Brophy <[log in to unmask]>
Subject: JOB: CONTRACT - Biostatistician - South East UK: Join an R&D Gian
t
MIME-Version: 1.0
Content-Type: text/plain
Dear Allstat,
CONTRACT - Biostatistician - South East UK
An opportunity now exists for an experienced statistical professional to
join our client, a major pharmaceutical organisation with a big UK R&D
presence in the South East. The assignment is for an initial 6 months with a
very strong potential for extension. Full details are available on
application. Start date is ASAP but the client will wait up to 12 weeks for
notice periods.
This assignment is working exclusively within phase I/IIa. The
responsibilities of the position will cover the entire statistical project
cycle from protocol development to writing the statistical sections of final
study reports. SAS programming will compromise approximately 10% of the
workload.
Essential for the positions is 3+ years experience, ideally within Phase
I/IIa. A post graduate qualification in statistics is preferred. You will
couple your experience with good SAS programming skills and excellent
communication abilities.
Reply with your CV detailing your rate expectation and availability to
ensure consideration for this position. Alternatively call Alan on 020 7 255
66 00 for further information
Kind regards,
Alan Brophy
SEC Recruitment, London
Tel: 0207 255 66 00
Fax: 0207 255 66 01
[log in to unmask] <mailto:[log in to unmask]>
SEC are an ISO9001:2000 accredited specialist recruitment company working
within the Pharmaceutical, Biotech and CRO industries. If you are interested
to learn more about further appointments within Biostatistics or Statistical
Programming across the UK and Mainland Europe contact Alan on 020 7 255 6600
for a confidential discussion.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Tue, 15 Nov 2005 15:49:38 -0000
Reply-To: "Thomas L.C." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Thomas L.C." <[log in to unmask]>
Subject: Re: Research fellowship
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
As part of the QFRM Centre, we are looking for a Research fellow to fill =
the post described hereafter
=20
University of Southampton
School of Management, Quantitative Financial Risk Management Centre
Research Fellow
Applications are invited for a post-doctoral research position from 1 =
February 2006 or as soon as convenient thereafter to work on developing =
models of credit risk for portfolios of consumer loans with reference to =
the Basel New Accord.
The Quantitative Financial Risk Management Centre is a collaboration =
between the University of Southampton, Imperial College London, and the =
University of Edinburgh. Baseline funding by the EPSRC provides for a =
postdoctoral research fellow at each site, with further posts supported =
by other bodies.
The research fellow at Southampton will work under the direction of =
Professor Lyn Thomas, and will be expected to have a sound grounding in =
Operational Research or statistical modeling skills and an interest in =
financial mathematics.
The post is for three years. Salary will be in the range of =A323,457 =
to =A328,850 per annum, depending on qualifications and experience.
An application form and further particulars may be obtained from the =
Human Resources Department (T), University of Southampton, Highfield, =
Southampton, SO17 1BJ, Tel: 023 8059 2750, e-mail: [log in to unmask] =
or minicom: 023 8059 5595, alternatively visit our website at =
www.jobs.soton.ac.uk. Closing date for applications 06/12/2005. Please =
quote reference number 05T0277.
Prof Lyn C Thomas
School of Management
University of Southampton
Southampton SO17 1BJ
UK
Tel 02380597718
Fax 02380593844 =20
=========================================================================
Date: Tue, 15 Nov 2005 16:43:24 +0000
Reply-To: "Bland, M." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Bland, M." <[log in to unmask]>
Organization: University of York
Subject: QUERY: multivariate gamma random number generator.
Comments: cc: "Trueman, Paul" <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
Content-Transfer-Encoding: 7bit
Dear Allstaters,
I have been asked whether I know of a multivariate gamma random number generator.
I don't. Univariate would be no problem, but I presume that what is needed is a set of variables with a prespecified covariance matrix.
Any suggestions?
Martin
--
***************************************************
J. Martin Bland
Prof. of Health Statistics
Dept. of Health Sciences
Seebohm Rowntree Building Area 2
University of York
Heslington
York YO10 5DD
Email: [log in to unmask]
Phone: 01904 321334
Fax: 01904 321382
Web site: http://www-users.york.ac.uk/~mb55/
***************************************************
=========================================================================
Date: Tue, 15 Nov 2005 17:58:49 -0800
Reply-To: Mary Swinson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mary Swinson <[log in to unmask]>
Subject: Query: Likelihood for Negative Binomial
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear Allstaters,
I am trying to compute the log likelihood of a Negative Binomial distribution and wanted to know if my function is correct. Any references would be appreciated.
my prob function for X~NB(k, mu) is (from Agresti pg560):
p(x;k,mu) = G(x+k) / G(k)*G(x+1) * (k/(mu+k))^k * (1- (k/(mu+k)))^x
And for my log likelihood I get:
L(k,mu;x) = -n*log( G(k) ) + k*n*log( k/(mu+k)) + n*xbar*log( 1- (k/(mu+k)) ) + sum{i=1 to n} log( G(x_i+k) ) - sum{i=1 to n} log( G(x_i+1) )
where G(.) is the usual gamma function and xbar is the sample mean of my data
Best Regards,
Mary
---------------------------------
Yahoo! FareChase - Search multiple travel sites in one click.
=========================================================================
Date: Wed, 16 Nov 2005 10:03:08 +0000
Reply-To: Christopher Roberts <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Christopher Roberts <[log in to unmask]>
Organization: University of Manchester
Subject: M-Plus Course
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: quoted-printable
"Structural equation modelling in M-Plus"
=
3-day practical course on =
=
Graham Dunn & Andrew Pickles (University of Manchester)
Tim Croudace (University of Cambridge)
10-12th Jan 2006
Cathie Marsh Centre for Census and Survey Research (CCSR)
University of Manchester
=
For further info and booking see
http://www.ccsr.ac.uk/courses/external/2005-2006/
=
=
=========================================================================
Date: Wed, 16 Nov 2005 10:55:04 -0000
Reply-To: "Balding, David J" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Balding, David J" <[log in to unmask]>
Subject: STUDENTSHIP 4-year MSc/PhD in Bioinformatics at Imperial College
London
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Imperial College London
Centre for Bioinformatics
Applications are invited for five places on a Wellcome Trust 4 year PhD =
programme in Bioinformatics commencing October 2006. This programme is =
run by the Centre for Bioinformatics and involves the Centre for =
Bioinformatics in the Division of Molecular Biosciences, the Departments =
of Chemistry, Computing, Mathematics, and the Medical School. The =
programme will provide an interdisciplinary training and applications =
are invited from students graduating from any biological, physical, =
computational or mathematical first degree course. We are particularly =
keen to encourage graduates from statistics-related first degrees to =
join the course.
The first year of the course will be closely based around the MSc in =
Bioinformatics and Systems Biology. The next three years will involve =
PhD research, for which students will register in the Department of =
their primary supervisor, which may be Imperial College's Statistics =
group in the Mathematics Department, or Biostatistics group in the =
Faculty of Medicine. A wide range of research projects will be offered =
ranging from computational and statistical through algorithm development =
within a biological context.=20
Applicants must have or be expected to obtain at least an upper second =
degree from any biological, physical, computational or mathematical =
first degree course from a first class EU University, or equivalent.
The programme is open to all, including overseas students. The annual =
stipend (including London Allowance) commences at =A318,211 in year 1, =
is =A319,121 in year 2 and =A320,077 in years 3 and 4 to). This stipend =
is free of UK income tax. Note that the Wellcome Trust will pay UK / =
European Union student fees only.
For further details and applications procedure see =
http://www.bioinformatics.ic.ac.uk/wellphd/index.html. You should find =
all the information you need about the programme on this web site.
=========================================================================
Date: Wed, 16 Nov 2005 10:59:14 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Gordon <[log in to unmask]>
Subject: Seminar: RSS NI Local Group
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1
Content-Disposition: inline ;Creation-Date="Wed, 16 Nov 2005 10:59:13 +0000"
Content-Transfer-Encoding: quoted-printable
Dear All,
The next meeting of the Northern Ireland Local Group of the RSS will=20
take place on Wednesday 7th December at 4PM in Room 211 in the Peter=20
Froggatt Centre at the Queen's University Belfast. All are welcome.
Speaker: Mike Stevenson (Clinical Research Centre at the Royal Group of =
Hospitals)
Topic: Quality of Life =96 Issues for Ordinal Outcomes
Abstract:
The increasing importance of quality of life measurement in recent years=
=20
has raised the profile of methods for analysis of ordinal variables.=20
Traditional approaches include dichotomising ordinal variables and=20
applying binary logistic models, or combining ordinal variables into a=20
composite score and applying linear models. Newer approaches include=20
ordinal regression models based on cumulative probability distributions =
and Rasch models. Internal consistency of composite psychometric scores =
are often assessed using Cronbach=92s alpha. A paradox between Cronbach =
and Rasch approaches will be revealed and a compromise suggested!
Alan Gordon
Biometrics Branch
DARD Science Service*
Food Science Centre
Newforge Lane
Belfast
BT9 5PX
tel: 028 902 55532
fax: 028 902 55008
email: [log in to unmask]
[*From 1 April 2006, DARD Science Service and the Agricultural Research =
Institute of Northern Ireland will combine to form a new DARD=20
Non-Departmental Public Body, the "Agri-Food and Biosciences Institute" =
(AFBI).]
=========================================================================
Date: Wed, 16 Nov 2005 11:39:08 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: SENIOR BIOSTATISTICIAN, Karolinska Institutet in Stockholm,
Sweden
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
I have been asked to forward this to the list.
Please reply to the details given and not to me.
SENIOR BIOSTATISTICIAN
The Department of Medical Epidemiology and Biostatistics is a
multi-discipline research group at Karolinska Institutet in Stockholm,
Sweden. Research interests include biostatistics and etiologic, clinical,
genetic and molecular epidemiology. The biostatistics group
(http://www.meb.ki.se/biostat/index_en.html) comprises 20 biostatisticians
including three professors (Juni Palmgren, Yudi Pawitan, and Marie Reilly).
We are a vibrant group within the department who work closely together
conducting research in biostatistics as well as collaborative research.
The primary role of the current position is collaboration with
epidemiologists in the design, analysis, and interpretation of
epidemiological studies. We are looking for someone who enjoys conducting
applied research in a collaborative environment to join our team of five
applied biostatisticians. One of your roles will be supervising
epidemiology doctoral students as they analyse and interpret their studies.
Applicants should have at least five years experience of research and/or
consulting in biostatistics, epidemiology, or related areas. Postgraduate
qualifications in statistics or epidemiology will be highly regarded as
will experience with genetic and/or molecular epidemiology. We work
primarily with SAS, Stata, and R. Opportunities exist for teaching and
pursuing independent research. Employment will be on fixed-term contract
but is not tied to individual projects and there are good opportunities for
extension. Qualified candidates will be encouraged to pursue an academic
career path.
Further information is available from Paul Dickman ([log in to unmask], tel
+46 8 524 86186), Sven Sandin ([log in to unmask], tel +46 8 524 86122), or
administrative chief Birgitta Svensson ([log in to unmask], tel +46 8
524 86089). The trade union representative (SACO) is Camilla Lagerberg
([log in to unmask], tel: +46 8 524 82375).
Applications (in Swedish or English) marked with diary number 5377/2005 and
accompanied by a CV and requested salary should be submitted to Ove Strind,
Department of Medical Epidemiology and Biostatistics, P.O.Box 281, SE-171
77 Stockholm, Sweden. Applications should arrive no later than 30 November
2005.
=========================================================================
Date: Wed, 16 Nov 2005 14:34:17 -0000
Reply-To: "Henderson, Robin" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Henderson, Robin" <[log in to unmask]>
Subject: QUERY: Average Run Length
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear All
MINITAB makes available the following tests for evidence of special cause v=
ariation on Shewhart control charts: -
Test 1 1 point more than 3 standard deviations from center line
Test 2 9 points in a row on same side of center line
Test 3 6 points in a row, all increasing or all decreasing
Test 4 14 points in a row, alternating up and down
Test 5 2 out of 3 points > 2 standard deviations from center line (same =
side)
Test 6 4 out of 5 points >1 standard deviation from center line (same si=
de)
Test 7 15 points in a row within 1 standard deviation of center line (ei=
ther side)
Test 8 8 points in a row> 1 standard deviation from center line (either s=
ide) =20
Can anyone tell me what the ARL is when all eight tests are implemented?
Best Wishes
Robin Henderson=20
*****************************************************************
The information contained in this message may be confidential or=20
legally privileged and is intended for the addressee only, If you=20
have received this message in error or there are any problems,=20
please notify the originator immediately. The unauthorised use,=20
disclosure, copying or alteration of this message is=20
strictly forbidden.
*****************************************************************
=========================================================================
Date: Wed, 16 Nov 2005 18:00:02 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: Senior Statistician
=20
Salary: EURO 75ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: Belgium=20
=20
Background:=20
=20
My client requires an expert statistician for a 6 month contract to
start ASAP. The role will be operating within CNS trials and will
require candidates to have excellent and up to date use of SAS.
Candidates require at least 7 years experience in clinical statistics,
although those with nearer to 10 will be preferable. CNS is not
essential but preferable.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4177'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 16 Nov 2005 16:06:20 +0000
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: NEW JOB: Survey Statistician , would suit new graduate
Summary of Role: A global market research agency with over 60 offices in
40 countries is seeking a Statistics / Economics graduate to take on a
role as a Survey Statistcian.
Information on Client: An innovative leader within their field, this
market research company specialises in helping clients - many of them blue
chip companies - maximise their brand performance, health and equity.
They optimise companies' media, advertising, PR and other communications
to their fullest potential. Curring running over 1,000 Advanced Tracking
Programs (ATPs), they have conducted over 30,000 Link copytests, completed
more than 11,000 brand dynamics projects and modelled over 450 brand
sales. Their web-based projects run into thousands. Benefits
available.
Job Role:
Responsibilities will include assisting with the analysis for market
research survey data using a variety of statistical techniques, including
cluster analysis, correlation, modelling and correspondence analysis.
Candidates should have a numerate degree, typically in Statistics,
Economics,
Econometrics or Mathematics and will ideally, have experience of using
statistical software packages such as SPSS and spreadsheet packages, such
as Excel.
Minimum Requirements:
Candidates should have a numerate degree, typically in Statistics,
Economics,
Econometrics or Mathematics and will ideally, have experience of using
statistical software packages such as SPSS and spreadsheet packages, such
as Excel.
Unique Benefits: This is a prime opportunity to enter a global market
research company.
Keywords: Statistical Executive / Statistical Manager / Statistics /
Economics / Econometrics / Market Research / Market Analysis / Statistical
Analysis / Marketing / Market Statistics / Market Research / Advertising /
Price Modelling / Econometric Modelling / Marketing Consultant / Marketing
Consultancy /
If you think you fit the bill, email your CV to: natalie@fforde-
management.com, speak to Natalie on (0044) (0)1273 722366 or write to us
at Curtis House, 34 Third Avenue, Hove BN3 2PD Fax: (0)44 (0)1273 325350.
If you prefer a different kind of role, call for a confidential chat about
your personal career needs.
=========================================================================
Date: Wed, 16 Nov 2005 20:28:46 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Primoris Contract Solutions <[log in to unmask]>
Organization: Primoris Contract Solutions
Subject: JOB Opportunity: Contract Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Rate: 75 to 85 Euro/hr.
Start date: ASAP, end November would be excellent.
Our client, a leading pharmaceutical company based in Belgium, urgently
seeks a biostatistician for a 6 month contract. You will be involved in =
a
variety of activities, including input into trial design and protocol
development, statistical analysis plans, statistical analysis =
programming,
input into clinical study reports. This will be in the CNS therapeutic =
area.
This client is willing to consider partial working from home (1 day/week =
or
1 week/month), if you have appropriate network connection facilities at
home.
You should have minimum 6 years experience as a statistician in the
pharmaceutical industry with at least an MSc qualification in =
statistics.
If you are interested in this position, please contact us at
[log in to unmask] for more details.
Primoris Contract Solutions Ltd
Tel: +44 (0)7092 150054
Fax: +44 (0)7902 150052
Email: [log in to unmask]
http://www.primoriscs.co.uk
=========================================================================
Date: Thu, 17 Nov 2005 08:49:08 -0000
Reply-To: S Gillman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: S Gillman <[log in to unmask]>
Subject: COURSE: INTRODUCTION TO STATISTICS, BRISTOL
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; FORMAT=flowed
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University of Bristol, Dept. of Social Medicine
Introduction to Statistics - 5 day course
DATES: 16-20 January 2006
FACULTY: Dr Sara Brookes (course organiser), Dr Chris Metcalfe,
Dr Kate Tilling, Dr Jonathan Sterne
FURTHER INFO: http://www.epi.bris.ac.uk/shortc
COURSE AIMS/OBJECTIVES: The aim of the course is to introduce the basic=20
statistical concepts and methods commonly used in medical and public health =
research. By the end of the course, students should be able to:=20
appreciate the role of statistical methods in epidemiology and public=20
health; develop skills in presenting quantitative data using appropriate=20
displays, tabulations and summaries; appreciate the nature of sampling=20
variation and the role of statistical methods in quantifying variation,=20
setting confidence limits, and testing Hypotheses; select and use=20
appropriate statistical methods in the analysis of simple datasets;=20
understand and interpret output from statistical analyses; present findings =
based on statistical analysis in a clear, concise and understandable =
manner.
Cost: =A3750 (see website for concessions).
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
=========================================================================
Date: Thu, 17 Nov 2005 10:50:49 +0000
Reply-To: Peter Green <[log in to unmask]>
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<[log in to unmask]>
From: Peter Green <[log in to unmask]>
Subject: JOB Lectureship at Bristol
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Reminder...2 weeks to close of applications
The University of Bristol invites applications for a permanent
lectureship in statistics (in place of Christophe Andrieu who has
been awarded an EPSRC Advanced Research Fellowship). We would
welcome candidates with research interests in any branch of
statistics or applied probability. Academic staff in the 6*-rated
Statistics Group are expected and encouraged to carry out research
and teaching to an excellent standard. The Department of Mathematics
is one of the leading centres for research and teaching in
mathematical sciences in the UK, and offers a stimulating and
friendly environment with first-rate facilities.
Further details and procedure for application:
https://www.bris.ac.uk/boris/jobs/ads?ID=43755
General information about Statistics at Bristol:
http://www.stats.bris.ac.uk/
Contact for informal enquiries, not answered at these webpages:
Prof P J Green [log in to unmask] Tel. +44 (0)117 928 7967
Closing date for applications: 1 December 2005
--
Professor Peter Green tel: +44 (0)117 928 7967
School of Mathematics fax: +44 (0)117 928 7999
University of Bristol [log in to unmask]
Bristol BS8 1TW, UK http://www.stats.bris.ac.uk/~peter
=========================================================================
Date: Thu, 17 Nov 2005 11:35:39 -0000
Reply-To: "Michael.Stevenson" <[log in to unmask]>
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<[log in to unmask]>
From: "Michael.Stevenson" <[log in to unmask]>
Subject: Biostatistician (Clinical Trials)
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Biostatistician (Clinical Trials)
Location: Clinical Research Support Centre, Belfast
Salary/Wage: Dependent on qualifications and experience
Essential Criteria: BSc (Hons) in Statistics or Mathematics with
Statistics or other subject with substantial statistical component. Use
of specialist statistical software such as SAS, Stata, or SPSS; IT
literacy including the use of MS Office Packages. Application of
quantitative methods in a medical or health service environment,
including experience in the design, conduct and analysis of clinical
trials or other well designed clinical research. Conducting research as
evidenced by success in grant applications and publication in peer
reviewed journals.
Additional Information: Interviews will take place w/c 9 Jan 06.
Closing Date: 16/12/05 at 4.00pm
Application Forms can be obtained on receipt of large SAE to the value
of 41p: Human Resources Directorate, Ground Floor, King Edward Building,
The Royal Hospitals, Grosvenor Road, BELFAST, BT12 6BA. Application
forms can be completed on-line or downloaded from www.royalhospitals.org
<http://www.royalhospitals.org/> or www.nijobs.com
<http://www.nijobs.com/> .
=========================================================================
Date: Thu, 17 Nov 2005 12:33:13 +0000
Reply-To: Ian Dryden <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ian Dryden <[log in to unmask]>
Subject: STUDENTSHIPS: 10 PhD Fellowships available in Mathematical
Medicine and Biology at Nottingham
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10 PhD Fellowships available in Mathematical Medicine and Biology at Nottin=
gham
The Marie Curie Early Stage Training Network MMBNOTT, hosted by the Centre =
for
Mathematical Medicine, School of Mathematical Sciences, University of
Nottingham, UK, has vacancies for ten 36-month full-time PhD Fellowships for
early-stage researchers to undertake cross-disciplinary training in the
application of mathematics and statistics to topics in medicine and biology.
Fellowships are available from 1 September 2006 and 1 June 2007 and are ope=
n to
non-UK nationals.
Each research project has supervisors in applied mathematics, statistics and
biomedical sciences.
For full details of the training programme, available research projects,
eligibility requirements and application procedures please see
http://www.maths.nottingham.ac.uk/mmbnott
---------------------------------------------------------------------------=
------------------
For other PhD opportunities in Statistics see
http://www.maths.nott.ac.uk/statsdiv
-------------------------------------------------------------
Ian L. Dryden,
Professor of Statistics,=20
School of Mathematical Sciences, tel: +44 (0) 115 951 4963
University of Nottingham, fax: +44 (0) 115 951 4951
University Park, [log in to unmask]
Nottingham NG7 2RD, UK. http://www.maths.nott.ac.uk/~ild
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Thu, 17 Nov 2005 15:39:37 +0000
Reply-To: Jonathan Crook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonathan Crook <[log in to unmask]>
Subject: Research Fellowship Consumer Credit Risk Modelling
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--B,Hviueiz0B?kfmeH,rRvClC/ZErITU?4I(M9?ofSMVqy6hiPgfWxnD97J41NW.zS0PlYj
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name=3D"Advert for websites .txt"
University of Edinburgh
Management School and Economics
Credit Research Centre
Quantitative Financial Risk Management Centre
Research Fellow
=20
A postdoctoral Research Fellow position is now available for an EPSRC-fun=
ded project to develop advanced models of individual customer risk in th=
e retail financial services sector.
The Quantitative Financial Risk Management Centre is a collaboration bet=
ween the University of Edinburgh, Imperial College London, and the Univer=
sity of Southampton. Baseline funding provides for a postdoctoral resear=
ch fellow at each site, with further posts supported by other bodies.
The Research Fellow at Edinburgh will work under the direction of Profess=
or Jonathan Crook, and will be expected to have a sound grounding in stat=
istics, machine learning, or a closely related discipline, and to have so=
lid computational skills.
=20
Fixed term: 3 year
Salary range: =A320,044-=A327,929 =20
Closing date: 25 November 2005=20
Further details at the Credit Research Centre website: http://www.crc.man=
.ed.ac.uk
For informal discussion contact Professor Jonathan Crook at [log in to unmask]
ac.uk
Tel (+44) (0)131 650 3802
For an application form telephone the University of Edinburgh recruitment=
line on (+44) (0)131 650 2511 or download it from http://www.jobs.ed.ac.=
uk. Please complete the form and return it to Mrs Elizabeth Andrews, The =
Management School & Economics, William Robertson Building, 50 George Squa=
re, Edinburgh EH8 9JY by the closing date of 25 November 2005.=20
For those who wish to apply on-line, please follow the on-line applicatio=
n procedure at http://www.jobs.ed.ac.uk.=20
--B,Hviueiz0B?kfmeH,rRvClC/ZErITU?4I(M9?ofSMVqy6hiPgfWxnD97J41NW.zS0PlYj--
=========================================================================
Date: Thu, 17 Nov 2005 15:50:20 +0000
Reply-To: Jonathan Crook <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonathan Crook <[log in to unmask]>
Subject: Research Fellowship Consumer Risk Modelling
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University of Edinburgh
Management School and Economics
Credit Research Centre
Quantitative Financial Risk Management Centre
Research Fellow
=20
A postdoctoral Research Fellow position is now available for an EPSRC-
funded project to develop advanced models of individual customer risk in=20
the retail financial services sector.
The Quantitative Financial Risk Management Centre is a collaboration =20
between the University of Edinburgh, Imperial College London, and the=20
University of Southampton. Baseline funding provides for a postdoctoral=20
research fellow at each site, with further posts supported by other bodies.
The Research Fellow at Edinburgh will work under the direction of=20
Professor Jonathan Crook, and will be expected to have a sound grounding=20
in statistics, machine learning, or a closely related discipline, and to=20
have solid computational skills.
=20
Fixed term: 3 year
Salary range: =A320,044-=A327,929 =20
Closing date: 25 November 2005=20
Further details at the Credit Research Centre website:=20
http://www.crc.man.ed.ac.uk
For informal discussion contact Professor Jonathan Crook at =20
[log in to unmask]
Tel (+44) (0)131 650 3802
For an application form telephone the University of Edinburgh recruitment=20
line on (+44) (0)131 650 2511 or download it from=20
http://www.jobs.ed.ac.uk. Please complete the form and return it to Mrs=20
Elizabeth Andrews, The Management School & Economics, William Robertson=20
Building, 50 George Square, Edinburgh EH8 9JY by the closing date of 25=20
November 2005.=20
For those who wish to apply on-line, please follow the on-line application=20
procedure at http://www.jobs.ed.ac.uk.=20
=========================================================================
Date: Thu, 17 Nov 2005 17:55:06 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Phase I Statistician (working from home)
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CONTRACT: Phase I Statistician (working from home)
=20
Salary: GBP 45ph, DOE=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
My client is based with a reasonable commute from Amsterdam and requires
a phase I statistician to join there small team on a 6 month rolling
contract. The role will involve early clinical trial design and take
complete responsibility to all related statistics within the
pharmacology team. Candidates require 5+ years working within clinical
statistics with expertise in Phase I. This is a full time position
however will allow 50% of the assignment to be based from home. Medical
stats and PK analysis would be preferable. Fluency in English is
essential.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4270'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 17 Nov 2005 18:59:22 +0100
Reply-To: Cristian Gatu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cristian Gatu <[log in to unmask]>
Subject: 3rd CSDA Special Issue on COMPUTATIONAL ECONOMETRICS
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CALL FOR PAPERS
COMPUTATIONAL STATISTICS & DATA ANALYSIS
3rd Special Issue on COMPUTATIONAL ECONOMETRICS
http://www.elsevier.nl/locate/csda
Guest Editors: D.A. Belsley, E.J. Kontoghiorghes and J.R. Magnus.
We are inviting submissions for the 3rd special issue of Computational
Statistics and Data Analysis dealing with Computational Econometrics.
Econometric techniques are inherently computational, often
substantially so. Existing algorithms, however, do not always embody
the best of computational techniques, either for efficiency,
stability, or conditioning. Likewise, environments for doing
econometrics are inherently computer based. Integrated packages for
conducting econometrics have grown well over the years, but still have
much room for further development. Computational econometrics, then,
is a natural field that is ever ready to receive new efforts, and a
special issue in this area is always welcome.
CSDA aims to have regular issues in Computational Econometrics.
The first 2 special issues dealing with Computational Economics have
recently been published. They feature articles examining filters,
heuristics methods for estimation, MCMC, computational and numerical
aspects for estimating large-scale models, and simulation methods,
among other topics, and indicate the importance of computing in
econometrics and highlights research opportunities that exist in this
discipline. In the 3rd special issue, we will consider papers that
address computational and numerical methods used in solving
theoretical and practical issues associated with econometric
algorithms, the impact of computing on econometrics, and specific
applications involving computing and econometrics.
The DEADLINE for submissions is the 28th of February 2006.
The notification of decision is the 30th of May 2006.
Submissions should contain both computational and econometric
components. Authors who are uncertain about the suitability of their
papers should contact the special issue editors. All submissions must
contain original unpublished work not being considered for publication
elsewhere. Submissions will be refereed according to standard
procedures for Computational Science and Data Analysis. Information
about the journal can be found at http://www.elsevier.com/locate/csda
Electronic submission is strongly encouraged. All manuscripts should
be double spaced or they will be returned immediately for revision.
Please e-mail a PDF file of your manuscript to: [log in to unmask]
The special issue editors:
David A. Belsley
Department of Economics
Boston College
Chestnut Hill, MA 02467, USA
E-mail: [log in to unmask]
Erricos John Kontoghiorghes
School of Computer Science and Information Systems
Birkbeck College, Univ. of London
Malet Street, London WC1E 7HX
UK
E-mail: [log in to unmask]
Jan R. Magnus
Center for Economic Research
Tilburg University
P.O. Box 90153
5000 LE Tilburg, The Netherlands
E-mail: [log in to unmask]
=========================================================================
Date: Thu, 17 Nov 2005 18:05:53 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Senior Statistician (Oncology)
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CONTRACT: Senior Statistician (Oncology)
=20
Salary: GBP 45ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
A statistician with 4+ yrs in clinical statistics and recent experience
of working on oncology trials is required by a top pharmaceutical in the
South East. The assignment will run from December if possible although a
January would be suitable for the right candidate. Please contact me for
full details and immediate feedback.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4343'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 16 Nov 2005 18:45:22 -0000
Reply-To: Thierry Chaussalet <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Thierry Chaussalet <[log in to unmask]>
Subject: Patient Safety Risk Management 22 nov 2005 16:00-18:00 at 115 New
Cavendish Street
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"Patient Safety Risk Management" a meeting ot the OR Society Health and =
Social Studies SIG
Hosted by the University of Westminster Health and Social Care Modelling =
Group
Tuesday 22 November 2005, 16:00-18:00
115 New Cavendish Street, Room C1.04, University of Westminster, London
http://www.streetmap.co.uk/streetmap.dll?G2M?X=3D529158&Y=3D181858&A=3DY&=
Z=3D1
Dr Naomi Price-Lloyd: School of Mathematics, Cardiff University, UK
"A Comparison of Mortality Rates of MRSA and MSSA in an ICU"
Prof Steve Gallivan: Clinical Operational Research Unit (Director), =
University College London, UK
"An Application of Triangles to Safety Research"
Dr Robert C. Lee: Calgary Health Technology Implementation Unit =
(Director), University of Calgary, Canada
"Risk Analysis and Risk Management in Cancer Therapy: It's not as simple =
as we first thought.."
For more details visit=20
http://www.orsoc.org.uk/region/study/health.htm
or contact Dr Thierry Chaussalet, Health & Social Care Modelling Group =
(HSCMG), Cavendish School of Computer Science (CSCS), Department of =
Information Systems, 115 New Cavendish St, London.=20
Tel: 020 7911 5000, email: [log in to unmask]
-----------=20
Dr. T.J. Chaussalet
Reader, CSCS
Department of Information Systems
University of Westminster
115 New Cavendish Street
London W1W 6UW
Tel: +44(0)207 911 5000
Email: [log in to unmask]
http://www2.wmin.ac.uk/hscmg
-----------=20
PLEASE READ: This e-mail and its attachments are intended for the above
named only and may be confidential. If they have come to you in error =
you
must not copy or show them to anyone, nor should you take any action =
based
on them, other than to notify the error by replying to the sender.
Any views expressed in this message are those of the individual sender,
except where the sender specifically states otherwise.
=========================================================================
Date: Fri, 18 Nov 2005 09:13:43 +0100
Reply-To: Cristian Gatu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cristian Gatu <[log in to unmask]>
Subject: CSDA Special Issue on STATISTICAL ALGORITHMS AND SOFTWARE
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CALL FOR PAPERS
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Special Issue on
STATISTICAL ALGORITHMS AND SOFTWARE
http://www.elsevier.com/locate/csda
We are inviting submissions for the special issue of Computational
Statistics and Data Analysis dealing with Statistical Algorithms and
Software.
The journal "Computational Statistics and Data Analysis" aims to
publish, inter alia, papers with a strong algorithmic and software
component. These papers will appear in the first section of the
journal under the heading - "Computational Statistics".
In addition, the journal offers authors the possibility to enhance
their articles by including multimedia files along with the online
article. These may be in the form of algorithms or software. These
files will appear embedded in the article on ScienceDirect at
www.sciencedirect.com/science/journal/01679473.
Over time, an archive of statistical algorithms will be established at
this site. The files should be in non-proprietary formats, to ensure
that the long-term archival needs of electronic publishing are met.
The multimedia files will also be listed on the web page of the
"International Association for Statistical Computing".
The files will be freely available at this site. Copyright of the
files will remain with the authors and their use will require the
citation of the related article (journal, author, title and date of
the publication). No liability is assumed by the contributors, the
publisher, or the IASC.
Scope
-----
Significant research contributions relating to the design, analysis
and implementation of algorithms and software to support statistical
methods and applications will be considered for inclusion in the
"Computational Statistics" section of CSDA.
Algorithms and software contributions must be of use in statistical
applications. An algorithm will be considered for inclusion if it
provides a novel approach to the solution of a statistical problem, or
has a performance superior to that of the existing algorithms. This
might entail improvements in execution speed, numerical stability,
portability, etc.
Submissions
-----------
A software submission must include test data to allow the correctness
of the software to be assessed. The test data should be sufficiently
comprehensive to demonstrate the robustness of the software in all
relevant circumstances.
When presenting the statistical algorithms, the issues of accuracy,
complexity and portability must be addressed. A complete program for
testing the algorithm should be supplied so that results obtained
theoretically can be verified in practice. The algorithm must be
complete, portable, well documented, and well structured. There is no
standard requirement for pseudo codes. However, implementations
should be expressed in a widely used language.
Submissions of brief notes and remarks concerning existing statistical
algorithms and software are also encouraged.
The DEADLINE for submissions is February, 28, 2006.
The notification of decision is May 30, 2006
Electronic submission is strongly encouraged. Please e-mail a
postscript or PDF file of your manuscript double spaced to:
[log in to unmask]
The special issue editors:
James Gentle John Hinde
School of Computational Sciences Department of Mathematics
MS 5C3 National University of Ireland, Galway
George Mason University Galway, Ireland
Fairfax, VA 22030, USA
Cristian Gatu Moon Huh
Institut d'informatique Department of Statistics
Universite de Neuchatel Sungkyunkwan University
Rue Emile-Argand 11, CP2 Chongro Myungryun, Seoul
CH-2007 Neuchatel, Switzerland Korea
=========================================================================
Date: Fri, 18 Nov 2005 10:40:09 +0000
Reply-To: William Browne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: William Browne <[log in to unmask]>
Subject: Seminar Cancellation at University of Nottingham
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Dear All,
The following statistics seminars at University of Nottingham has been can=
celled due to the speaker being ill.
Thursday 24th November Nottingham University 4.00pm=20
Pauline Coolen Schrijner (University of Durham)=20
Quasi-Stationary distributions for birth-death processes with killing=20
Frank Coolen (University of Durham)=20
Nonparametric predictive comparison of groups of data=20=20
These talks will be rescheduled for the summer term.
Regards,
Bill Browne.
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Fri, 18 Nov 2005 13:12:22 -0000
Reply-To: Patricia Crowley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Patricia Crowley <[log in to unmask]>
Subject: IISH seminar 6 Dec. Dr Mulgan. chrinic disease and health care
models
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UCL International Institute for Society and Health
2005 / 2006 Public Seminar Series
=20
You are invited to attend
=20
Tuesday 6th December 5.00 pm
=20
=20
Dr Geoff Mulgan
Director of the Young Foundation
=20
=20
'Chronic disease and the development of radical new models for health =
care'
=20
There is widespread acknowledgement that many chronic diseases - from =
diabetes to depression - are becoming more prevalent and that the =
management of chronic diseases is set to be one of the great challenges =
of the next few decades. In addition to new treatments and new methods =
for diagnosis and management there will also be a strong premium on =
social innovation - the development of new methods for providing mutual =
support; for patients to self-manage; and for better prevention and =
mitigation. The talk will explore possible new methods for developing =
more effective models of healthcare, drawing on previous experiences of =
social innovation at the Young Foundation in previous incarnations under =
Michael Young, as well as work currently underway.
=20
Geoff Mulgan is director of the Young Foundation, which under Michael =
Young launched some 60 organisations (including the Open University and =
Consumers Association) as well as pioneering dozens of new approaches in =
fields ranging from health to ageing. Geoff was previously head of =
policy in No 10 and director of the Government's Strategy Unit. Before =
that he was founder of the Demos think tank. He is a visiting professor =
at UCL, LSE and Melbourne University.
=20
This seminar will be held at UCL
RSVP seminar attendance by 02/12/05 (indicating any special needs and =
for directions to the seminar room) Email: [log in to unmask]
Drinks & snacks at 6pm after the seminar.=20
=========================================================================
Date: Fri, 18 Nov 2005 10:05:50 -0000
Reply-To: Tristan Barnfather <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tristan Barnfather <[log in to unmask]>
Subject: JOB: Statistician
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Dear allstat,
I have a contract position available with a global pharma to start asap (but
will wait for notice period)
Details are;
contract: 6 month=20
pay rate: up to =A345 per hour
location: South East
In the role you will work with the lead statistician to produce statistical
analyses, tabulations, graphics and listings of clinical trial data. You'll
perform QA procedures on work performed by others, interpret data
manipulations/processing and statistical analyses and derive statistical
conclusions. You'll also liaise with customers to understand and help define
requirements and provide adhoc statistical analyses for regulatory and
commercial requests.=20
You must have an MSc in Maths/Stats with at least 2 years pharmaceutical
experience.
For further information please contact me on 0207 562 1793 or reply to this
message.
Thanks
Tristan
Tristan Barnfather
Team Leader
SRG Interesource
0207 562 1793 / 07973 340 171
[log in to unmask] =20
www.srginteresource.com =20
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=========================================================================
Date: Fri, 18 Nov 2005 14:14:09 +0000
Reply-To: Charles Taylor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Charles Taylor <[log in to unmask]>
Subject: JOB: lecturer in Statistical Bioinformatics
MIME-Version: 1.0
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Lecturer in Statistical Bioinformatics - Job ref 314009
----------------------------------------------------------------
School of Mathematics
Closing Date: 27-01-2006
Further details:
The School has recently established a Centre of Statistical Bioinformatics
and has appointed Professor Wally Gilks as Director. We are now seeking a
lecturer to support this initiative.
You will be assigned to the Department of Statistics (the other Departments
within the School being Pure and Applied Mathematics) to play a full=20
role in the School, contributing to the research activity, undergraduate
and graduate teaching and administrative duties as directed. Teaching and
administrative duties will, in the first instance, mainly be in connection
with the MRes in Statistical Bioinformatics.
Along with a PhD (or equivalent) in Statistics, Mathematics or a closely
related field, you will have a promising track record of research in
statistics related to bioinformatics for example, methods for microarray
data analysis, statistical genetics, sequence analysis, gene transcription,
DNA alignment or molecular structure and interactions. The preferred
starting date is 1 April 2006, but there is some scope for flexibility.
Further details of the School's activities can be found at
http://www.maths.leeds.ac.uk
Lecturer A/B (=A324,352-=A336,959 p.a.) depending on experience.
The University is introducing a new reward framework which will facilitate
the recruitment, retention and motivation of world class staff. Under the
new structure the minimum Lecturer A salary point will be =A327,194 p.a.
Informal enquiries to Professor Stan Wainer, Head of School,=20
tel 0113 343 5170, email [log in to unmask] or Professor=20
John Kent, Head of Statistics, tel 0113 343 5103, email=20
[log in to unmask]
Application packs are available via email [log in to unmask]
or tel 0113 343 5771.
Job Ref 314009 Closing date 27 January 2006
--------------------------------------------------------------------
About the School of Mathematics
The School of Mathematics at the University of Leeds, which comprises=20
the departments of Statistics, Pure Mathematics and Applied Mathematics,=20
is one of the largest and most active in the country. The School has=20
over eighty members of staff including about twenty-five professors. In=20
all three disciplines the School has a high reputation for research, with=
=20
a rating of 5 in the last Research Assessment Exercise.
Statistics
The Department is one of the top research centres in Statistics in the=20
UK. It maintains a strong profile across a wide range of areas in both=20
theoretical and applied Statistics and Probability. A distinctive feature=
=20
has been its internationally recognised expertise in shape analysis,=20
statistical image analysis, and related areas. The Department has recently=
=20
identified the potential for the development of statistical methodology in=
=20
bioinformatics and has created a Centre of Statistical Bioinformatics,
unique in the UK.
This Centre, in collaboration with existing research groups from around=20
the University, will provide a forum for problem-sharing, development of=20
new methods, and promoting the role of statistics in this exciting new=20
field. Additionally, the Centre will provide a postgraduate qualification=
=20
in Statistical Bioinformatics in collaboration with the School of Molecular=
=20
Biology and the Faculty of Medicine and Health.
The Department hosts an annual series of workshops, which has grown in=20
status in recent years with substantial international participation.=20
Statistics comprises 9 research-active members of staff, including 5=20
professors, 1 reader, 1 senior lecturer, and 3 lecturers. There are also=20
15 postgraduate students.
The Department's main research areas are in image and shape analysis,
bioinformatics, spatial-temporal modelling, directional statistics,=20
pattern recognition, machine learning, robustness, bioinformatics,=20
probability, and stochastic processes.
Applied Mathematics
The department of Applied Mathematics at Leeds is one of the largest and=20
most vigorous in the UK. It was awarded a grade 5 in the 1992, 1996, and=20
2002 Research Assessment Exercises. The Department currently has 25=20
academic staff (10 professors, 4 readers, 4 senior lecturers, 5 lecturers,=
=20
2 research fellows), 2 emeritus professors, 7 postdoctoral research=20
fellows, 3 visiting professors and 29 research students. In keeping=20
with the University =C3?=C3?s aim to become a world-class University, and=
=20
the School of Mathematics =C3?=C3? strategic plan, the Department of Applie=
d=20
Mathematics has an ongoing commitment to the maintenance and development of=
=20
its internationally distinguished reputation.
The research interests of the Department are extremely broad, with research=
=20
groups in the following areas: Applied Dynamical Systems, Applied and=20
Numerical Analysis, Astrophysical Fluid Dynamics, Computational Mathematics=
=20
and Design, Integrable Systems, Mathematics applied to Biology and=20
Medicine, Polymer Physics and Non-Newtonian Fluid Dynamics.
There is a very lively research atmosphere with considerable collaboration=
=20
between the different research areas. The Department has a busy seminar=20
programme and often also holds one- or two-day meetings on specialist=20
topics. One of its great strengths is the extent and quality of its=20
inter-disciplinary work. Applied Mathematics has strong research links=20
with several other Schools in the University, with a number of industries,=
=20
and also with local hospitals.
Pure Mathematics
The Department of Pure Mathematics is one of the largest and most active=20
centres for pure mathematics research in the UK. It has 20 full-time=20
academic staff (10 professors, 4 senior lecturers, 5 lecturers, 1 Universit=
y=20
research fellow), plus 2 part-time professors, as well as 6 postdoctoral=20
research fellows and research assistants and 4 honorary visiting fellows.=
=20
There are currently 31 postgraduate research students. The Department was=
=20
rated 5 in the 1996 and 2001 UK Research Assessment Exercises. Pure=20
Mathematics has research groups of international standing in four of the=20
most vital areas of mathematics: algebra, differential geometry, analysis,=
=20
and mathematical logic. There is extensive interaction between these=20
research groups, and with both Applied Mathematics and Statistics.
The four research groups each run their own weekly seminar (or else run=20
regular all-day events); in addition there is a less specialized Colloquium=
,=20
which meets once or twice a term, and a weekly seminar at which Pure=20
Mathematics research students give seminars to each other. There is also a=
=20
graduate lecture course each year in each of algebra, differential geometry=
,=20
analysis, and mathematical logic.
Purpose of Post
The School seeks to appoint a Lecturer in Statistical Bioinformatics to=20
join the Centre of Statistical Bioinformatics (directed by Professor Wally=
=20
Gilks), and other members of the Statistics department working in this area=
=20
(Professor Kanti Mardia, Professor John Kent, Professor Charles Taylor,=20
and Dr. Stuart Barber).
Job description
You will carry out research, teaching and administration within the School,=
=20
under the direction of the Director of the Centre of Statistical=20
Bioinformatics and the Head of Statistics acting on behalf of the Head of=
=20
School and its Management Group.
You will be expected to carry out research of the highest quality. You will=
=20
also be expected, where appropriate, to take part in the supervision of=20
postgraduate students and to seek external research funding.
You will be expected to play a full role in the teaching of undergraduate=
=20
and graduate courses offered by the School. This includes teaching by means=
=20
of lectures, examples classes, tutorials and project supervision, and=20
assessment by means of examinations and course work. You are also expected=
=20
to take an active role in curriculum design and development.
The School of Mathematics and the three departments within are supported by=
=20
a number of administrative and clerical staff. However, those=20
administrative duties that require academic judgement are carried out=20
by academic staff, and lecturers are therefore required to undertake=20
some such tasks.
Person Specification
You will have a Ph.D. (or equivalent) in statistics, mathematics, or=20
closely related field, and a promising track record of research in=20
statistics related to bioinformatics (for example in microarray data=20
analysis, statistical genetics, sequence analysis, or prediction of=20
molecular structure or interaction), showing the potential for establishing=
=20
an outstanding international reputation.
You must have the ability and commitment to teach well at all levels in=20
the School of Mathematics and to maintain excellence in your research.
Preference may be given to candidates whose work is compatible with the=20
interests of existing members of the Centre for Statistical Bioinformatics.
How to apply:
Applications should include the following:-
=B7 A completed application form
=B7 Equal Opportunities Monitoring Form . Please return the Form in a=20
separate envelope marked 'EOs Monitoring'.
Replies will be treated in complete confidence.
Completed applications should be returned to Barbara Watts, School of=20
Mathematics, University of Leeds, LS2 9JT, email [log in to unmask]
quoting job ref 314009 not later than 27 January 2006
If you are selected for interview you can expect to hear from the=20
University not later than 4 weeks after the closing date. If you are not=20
selected for interview the University will not contact you again.
A Criminal Records Disclosure is not required for this position.
Disabled Applicants
The post is located in the School of Mathematics. Disabled applicants=20
wishing to review access to the building are invited to contact the=20
department direct. Additional information may be sought from the Team=20
Co-ordinator in Disability Services, email [log in to unmask] or tel=20
0113 343 3927
Disabled applicants are not obliged to inform employers of their disability=
=20
but will still be covered by the Disability Discrimination Act once their=
=20
disability becomes known.
Data Protection
The information you provide in your application will be used to consider=20
your suitability for the post for which you have applied. If your=20
application is not successful the information will be disposed of=20
confidentially within 8 months. If your application is successful and you=
=20
are appointed, your information and future data will be processed in=20
accordance with the University's Data Protection Code of Practice. A copy=
=20
of this code can be obtained from either the University's Human Resources=
=20
Department or by visiting http://www.leeds.ac.uk/hr/policy/index.htm
Health and Safety Responsibilities
You are required to adhere and comply to the provisions of the Health and=
=20
Safety at Work Act, related Regulations and in accordance to the=20
University's Policy on Health and Safety which can be accessed via=20
http://www.leeds.ac.uk/safety/usp/uspindex.htm
In addition you are also required to cooperate with regard to the=20
implementation of Health and Safety arrangements and should not interfere=
=20
with or misuse anything provided in the interest of Health, Safety and=20
Welfare at Work.
For more information on the University and terms and conditions of=20
appointments please visit http://www.leeds.ac.uk
=========================================================================
Date: Fri, 18 Nov 2005 14:51:47 -0000
Reply-To: Nick Cox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nick Cox <[log in to unmask]>
Subject: CONFERENCE: Stata users' meeting London 11-12 Sept 2006
Comments: cc: [log in to unmask], Ana Timberlake
<[log in to unmask]>, [log in to unmask]
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
The next London Stata users' meeting will be held at City=20
University on 11-12 September 2006. This is=20
a central location, near to the Royal Statistical=20
Society and Bayes' burial place.=20
The logistic arrangements will be made by=20
Timberlake Consultants (http://www.timberlake.co.uk),=20
the distributors of Stata in Britain.=20
The scientific programme will be organised by=20
Patrick Royston, MRC Clinical Trials Unit, London,=20
([log in to unmask]) and myself,=20
from Durham University ([log in to unmask]).=20
Stata users' meetings started in London in 1995, and there=20
has been a meeting every year since. As those who have=20
attended them will attest, these meetings have an=20
international flavour. Key StataCorp personnel will
be present and we usually attract several visitors from
other countries, including the United States, other=20
European countries, Australia and New Zealand.=20
A record of most previous users' meetings may be found at
http://www.stata.com/meeting/proceedings.html
This is therefore a note for those interested to put=20
the dates in their diary. Offers of papers should please be=20
directed at either organiser, as seems appropriate,=20
preferably with a copy to the other. Any offer=20
of a biostatistical or medical statistical presentation
is better directed at Patrick, and anything else at myself.=20
The typical slot for a presentation will be 20 minutes,=20
but we are open to offers (with rationale for differing=20
length) of shorter or longer talks.=20
There will be a tutorial or training element. We welcome
offers of such presentations and also expressions of interest
in what you might like to hear.=20
Potential visitors to Britain might like to know that September
is usually a relatively dry and warm month (by British=20
standards, naturally).=20
Nick=20
[log in to unmask]
=========================================================================
Date: Fri, 18 Nov 2005 16:36:05 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: ANNOUNCE: 2005 Beveridge Lecture
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The 2005 Beveridge Lecture
Thursday 1 December
5pm
(followed by a wine reception)
At the Royal Statistical Society
12 Errol Street London EC1Y 8LX
Entry is by free ticket. Demand for tickets is expected to be high.
Priority will be given to RSS Fellows if the application is received by =
25 November.
Demography, distribution and the future of pensions in the UK?
John Hills
Professor of Social Policy and Director of the ESRC Research Centre for =
Analysis of Social Exclusion (CASE) at the London School of Economics. =20
The day after the Pensions Commission publishes its long-awaited report =
on the future of pensions in the UK (and on the eve of the anniversary =
of publication of Beveridge's landmark report on social insurance), =
Professor John Hills, a member of the Commission, will outline its =
findings and the recommendations it is making to meet the challenges set =
out in its first report, published a year ago. In that report, the =
Commission warned that faced with the increasing proportion of the =
popuation aged over 65, society and individuals would have to choose =
between pensioners becoming poorer relative to the rest of society, =
increasing taxes, higher savings, and/or later retirement. This lecture =
will set out the options recommended by the Commission and the ways in =
which they relate to the statistical evidence available to it.
The Beveridge Lectures were initiated in 1966 by the Institute of =
Statisticians, now merged with the Royal Statistical Society, to =
commemorate the first President of the Institute. This is the fifth =
lecture since the Society revived the lecture series in 1998.
To register please email [log in to unmask] with the required =
information (below) - to secure your place please ensure you have =
registered by 23 November.
We need to know:
- if you will be attending the wine reception following the Lecture
- if you are a Fellow of the RSS
- Name, Address, Postcode
- Tel/Email
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
> Join the Royal Statistical Society today. For more details go to =
http://www.rss.org.uk/join
>=20
>=20
=========================================================================
Date: Fri, 18 Nov 2005 17:21:34 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT: Senior Statistician
=20
Salary: GBP 45-50ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
A 6-month contract involving work on a regulatory submission, including
multivariate analysis. This will also include the running a phase I and
a phase III study. The roll will start from Jan 06 and include a hand
over before Christmas.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4354'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 18 Nov 2005 17:02:14 +0000
Reply-To: Trevor Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Trevor Sweeting <[log in to unmask]>
Subject: JOB: Director,
UCL Centre for Computational Statistics and Machine Learning
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Director, UCL Centre for Computational Statistics and Machine Learning
(Reader/Senior Lecturer Post)
Department of Computer Science, University College London
We are looking for world-class research talent to join us. We are
specifically recruiting to a new senior faculty position in the areas of
machine learning and computational statistics. The appointee will assume
leadership of a new interdisciplinary UCL Centre for Computational
Statistics and Machine Learning. The Gatsby Computational Neuroscience
Unit is in conjunction recruiting to both senior and junior faculty
positions in the same areas, reflecting a strategic UCL commitment to
research on machine learning. We share a strong commitment to experimental
research and to UCL's tradition of interdisciplinary research. There is
also active involvement in this area from the Departments of Statistical
Science and Physics. Candidates for a post in Computer Science should be
interested in innovative and challenging teaching at both the core and
edges of computer science. In the event of a suitably qualified person an
appointment at Professorial level will be considered.
Salary for a Reader/Senior Lecturer will be between =A341,085 - =A346,250
including London Allowance.
You can find out more about the Department of Computer Science at
http://www.cs.ucl.ac.uk and about the Gatsby Computational Neuroscience
Unit at http://www.gatsby.ucl.ac.uk/
Further details of the posts and the application procedure can be found at
http://www.cs.ucl.ac.uk/vacancies Unless otherwise requested, applicants
will also be considered by the Gatsby Computational Neuroscience Unit. For
informal enquiries please contact Anthony Finkelstein at
[log in to unmask]
The closing date for applications is Thursday, 5th January 2006
UCL - Taking Action for Equality
---------------------------
Professor Trevor J Sweeting
Department of Statistical Science,
University College London,
Gower Street,
London, WC1E 6BT
U.K.
Tel. No. +44 (0)20 7679 1865
Fax: +44 (0)20 7383 4703
Email: [log in to unmask]
World-Wide Web: http://www.ucl.ac.uk/Stats/
=========================================================================
Date: Sat, 19 Nov 2005 13:13:09 +0000
Reply-To: olivia vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: olivia vernon <[log in to unmask]>
Subject: Graduate Statistical SAS Programmer
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Dear allstat members,
I am a female MSc Medical Statistical graduate looking for work. I
completed my MSc in Sept 2005, before and after I have tried to find work.
I Have been to numerous interviews because everyone believes I have a good
CV. However, I have not been very successful as I have no commercial
experience. If anyone out there can help in anyway or provide advice I
would like to hear from you.
Regards
Grace
_________________________________________________________________
MSN Messenger 7.5 is now out. Download it for FREE here.
http://messenger.msn.co.uk
=========================================================================
Date: Sun, 20 Nov 2005 00:42:47 +0100
Reply-To: Dieter Vanderelst <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dieter Vanderelst <[log in to unmask]>
Subject: (no subject)
MIME-Version: 1.0
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Content-Transfer-Encoding: 7bit
Hello,
I'm looking for a way to fit a Signal Detection Model to a n*n confusion
matrix of data like the one provided below (This hypothetical data stems
from a n-forced-choice experiment).
I'm looking for a procedure that can separate the perception of the
signal from the criterion that the participants use.
Does anybody know of a simple procedure, and maybe an implementation of
this (a program?).
Many Thanks,
Dieter
Example data:
Signal: One Two Three Four
Response: One 0.189555 0.273401 0.444942 0.197321
Two 0.99889 0.993752 0.721348 0.341097
Three 0.996513 0.614513 0.481794 0.865671
Four 0.918038 0.133882 0.539384 0.337964
=========================================================================
Date: Mon, 21 Nov 2005 08:57:28 +0100
Reply-To: =?ISO-8859-1?Q?Pierre_Bessi=E8re?= <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: =?ISO-8859-1?Q?Pierre_Bessi=E8re?= <[log in to unmask]>
Subject: WORKSHOP : BAYESIAN COGNITION Workshop, Paris, January 16 - 18,
2006
Mime-Version: 1.0 (Apple Message framework v746.2)
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Content-Type: text/plain; charset=ISO-8859-1; delsp=yes; format=flowed
---------------------------------
BAYESIAN COGNITION
---------------------------------
International workshop on probabilistic models of perception, =20
inference, reasoning, decision action, learning and neural processing
Paris, France, January 16 - 18, 2006
bayesian-cognition.org
Scope and goal:
---------------------
Animals and artificial systems alike are faced with the problem of =20
making inferences about their environments and choosing appropriate =20
responses based on incomplete, uncertain and noisy data.
Probabilistic models and algorithms are flourishing in both life =20
sciences an information sciences as ways of understanding the =20
behavior of subjects and the neural processing underlying this =20
behavior, and building robots and artificial agents that can function =20=
effectively in such circumstances.
This workshop will gather life and information scientists to discuss =20
the latest advances in this subject, specifically addressing the =20
following topics:
- Probability theory as an alternative to logic
- Probabilistic models of neurons and assembly of neurons
- Probabilistic models of CNS functionality
- Stochastic synchronisation of neuronal assemblies
- Probabilistic interpretation of psychological and psychophysical data
- Probabilistic inference and learning algorithms
- Probabilistic robotics
Lecturers (confirmed list):
----------------------------------
- Alain Berthoz, Coll=E8ge de France
- Pierre Bessi=E8re, CNRS Grenoble University
- Heinrich B=FClthoff, Max Planck Institute
- Peter Dayan, UCL
- Sophie Deneve, ISC
- Jacques Droulez, Coll=E8ge de France
- Ian Hacking, Coll=E8ge de France
- Ben Kuipers, University of Texas
- David MacKay, Cambridge University
- Pascal Mamassian, Paris V University
- Jose del R. Millan, IDIAP Research Institute
- Kevin Murphy, University of British Columbia
- Alexandre Pouget, University of Rochester
- Rajesh Rao, University of Washington
- Michael Shadlen, University of Washington
- Roland Siegwart, EPFL
- Eero Simoncelli, New York University
- Jean-Jacques Slotine, MIT
- Josh Tenenbaum, MIT
- Sebastian Thrun, Stanford University
- Daniel Wolpert, Cambridge University
Registration and complementary information:
-------------------------------------------------------------
bayesian-cognition.org
- Talks + coffee breaks and welcome cocktail on January 16th : 90 euros
- Talks + coffee breaks, welcome cocktail on January 16th and =20
lunches : 140 euros
Number of participant is limited, registration are accepted in their =20
order of arrival.
_______________________________
Dr Pierre Bessi=E8re - CNRS
*****************************
GRAVIR Lab
INRIA
655 avenue de l'Europe
38334 Montbonnot
FRANCE
Mail: [log in to unmask]
Http: www-laplace.imag.fr
Tel: +33 4 76 61 55 09
_______________________________
=========================================================================
Date: Mon, 21 Nov 2005 10:34:48 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Timothy Mak <[log in to unmask]>
Subject: Binary random intercept models
MIME-Version: 1.0
Content-Type: text/plain; charset="US-ASCII"
Hi,
Can anyone tell me how wrong can your answer be if you model some cross
sectional time-series binary data which is better modelled by some
probability mechanism based on previous observations, eg logit p_ij =
alpha_i0 + alpha_i1*y_i(j-1) + alpha_i2*y_i(j-2), with a simple random
intercept model ie assuming the observations within an individual are
independent?
Thanks in advance,
Tim
=========================================================================
Date: Mon, 21 Nov 2005 11:09:33 +0000
Reply-To: Natalie Fforde <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Natalie Fforde <[log in to unmask]>
Subject: NEW JOB Contract Statistical SAS Programmer ,
will accept ANY BACKGROUND
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Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
This is a great opportunity for a Statistical SAS=20
Programmer/epidemiologist to work for one of the biggest pharmaceutical=20
companies in the World, and where professionalism and high standards are=20
recognised and rewarded.
Our client, a leading research-based Pharmaceutical company is looking for=20
a Data Analyst to collaborate with research teams in conducting=20
epidemiological studies utilizing large national/international cross-
sectional and longitudinal healthcare databases. Provide statistical=20
programming, database management and systems analysis support and=20
consultation for epidemiologic database research projects relating to=20
disease natural history, burden of illness and drug safety. Investigate,=20
evaluate and apply new methods, technologies and tools for efficient=20
accessing, processing, management, analysis and communication of=20
observational research data. Develop, implement and maintain standards for=20
computer program development and validation, and for data storage, quality=20
and reporting.
Minimum Requirements:
=B7 BSc or above in Mathematical subject.
=B7 Good knowledge of Statistics
=B7 More than 1 year experience in SAS Programming=20
=B7 Strong SAS skills.
=B7 Good team player.
Key Word : Statistician, Statistics, Statistical Analyst, Statistical=20
Analysis epidemiology, epidemiologist, SAS.
Natalie Fforde
Fforde
Managing Director
Curtis House
34 Third Ave
Hove
BN3 2PD
Tel: 01273 722366
Fax: 01273 325350
Mobile: 07769 700 222
Email: [log in to unmask]
=20
www.fforde-management.com
=20
This transmission has been issued by Fforde-Management Ltd for the=20
information of the addressee only and should not be reproduced and / or=20
distributed to to any other person. Unless otherwise agreed in writing,=20
any CV or Candidate details attached hereto must be read in conjunction=20
with, and are subject to, Fforde-Management's Standard Terms of Business. =20
Its contents are based on information obtained from sources believed to be=20
reliable but Fforde-Management makes no representation and accepts no=20
responsibility or liability as to its completeness or accuracy.
=========================================================================
Date: Mon, 21 Nov 2005 12:58:11 -0000
Reply-To: Zoe Bennett <[log in to unmask]>
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From: Zoe Bennett <[log in to unmask]>
Subject: JOB - New vacancies
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Dear All,=20
=20
My client is looking for new Biometrics staff for their office in
Poland.=20
There are various levels of vacancy available, and I would be most
interested to hear from anyone interested in working in Poland, who has
experience of programming and/ or statistical analysis of clinical trial
data.
=20
Ideally you will have experience of SAS Programming, be educated to MSc
level in a statistical subject and have excellent communication skills.=20
This is a new department, so there are a range of roles available, from
Junior to Management.=20
Please do call me to discuss the client, location and packages on offer.
=20
Kind Regards=20
Zoe Bennett
Head of Pharmaceutical Division
BLUE PELICAN PHARMA=20
http://www.bluepelicanpharma.com <http://www.bluepelicanpharma.com/>=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
Pelican House, Gibbs Reed Farm, Ticehurst, East Sussex TN5 7HE
Blue Pelican Group provide a professional and ethical recruitment
service. It is our policy not to
distribute any candidate information without prior consent from the
candidate.
All information in this email transmission, including financial and
numerical information, is strictly private and=20
confidential, and subject to change, correction and completion. If you
have received this email in error, please=20
notify the sender and delete the email and all attachments immediately.
This email (including any attachments)=20
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use, disclosure, dissemination, distribution or copying of this email or
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We have checked for viruses, but the contents of an attachment may still
contain software viruses which could=20
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you sustain as a result of a virus=20
introduced by this email or any attachment, and you are advised to use
up-to-date virus checking software.=20
We do not guarantee any email transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance
with the Lawful Business Practice=20
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=========================================================================
Date: Mon, 21 Nov 2005 14:11:43 +0000
Reply-To: Rebecca CANNINGS <[log in to unmask]>
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From: Rebecca CANNINGS <[log in to unmask]>
Subject: Seminar: RSS South Wales local group
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Dear all,
The next seminar of the South Wales local group of the RSS is on Wednesday =
14th December at 5:00pm (4:30pm for tea/coffee and mince pies) at the =
Conference Room, Local Government Data Unit - Wales, 8 Columbus Walk, =
Cardiff.=20
Directions to the Data Unit can be found by following this link: http://www=
.dataunitwales.gov.uk/eng/ContactUs.asp=20
The speaker will be Andrew Garrett, Quintiles. "Switching between =
superiority and non-inferiority - is a coherent approach possible?".
Abtract
The CHMP Points to Consider (Guideline) on Switching between Superiority =
and Non-inferiority is directed towards ensuring the most appropriate =
interpretation of the data from a randomised clinical trial at the time of =
analysis. Specifically it focuses upon the interpretation of the =
estimated confidence limits of the treatment difference. However given =
that it is only the conclusion drawn from the values of the confidence =
limits that may differ and not the confidence interval itself, there are =
some statistical conventions relating to the analysis of superiority and =
non-inferiority trials that must be addressed when estimating confidence =
limits.=20
This talk will examine some the areas where the standard approach to =
statistical analysis might differ between superiority and non-inferiority. =
In each case, practical recommendations will be made to ensure that the =
approach to switching between superiority and non-inferiority is coherent.
* Confidence interval coverage
* Choice of analysis populations
* Accounting for missing values
* Covariate adjustment
With best wishes,
Rebecca
Rebecca Cannings-John
Statistician
Cardiff University
Department of General Practice
Room 2F 15
Cardigan House
Wales College of Medicine
Heath Park
Cardiff=20
CF14 4XN
Tel: 029 2074 5105
www.uwcm.ac.uk/study/medicine/general_practice
=========================================================================
Date: Mon, 21 Nov 2005 14:16:55 -0000
Reply-To: "Levy, Gus (Medsch Hampstead/Mental Health Sciences)"
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From: "Levy, Gus (Medsch Hampstead/Mental Health Sciences)"
<[log in to unmask]>
Subject: NEW JOB: Research Statistician - UCL Mental Health Sciences
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=========================================================================
Date: Mon, 21 Nov 2005 14:24:49 -0000
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Date: Mon, 21 Nov 2005 15:36:14 +0000
Reply-To: Gareth Janacek <[log in to unmask]>
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From: Gareth Janacek <[log in to unmask]>
Subject: KDD, Data Mining
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UK KDD Symposium (UKKDD=9206)
26th April 2006
John Innes Conference Centre,
Norwich Research Park, Norwich, UK
Hosted by the UEA KDD Research Group
Aims:
This one day Symposium, hosted by UEA Norwich, is intended to provide a=20=
forum for discussion, dissemination and exchange of ideas between=20
practitioners and researchers working within the broad field of=20
Knowledge Discovery and Data mining (KDD). To this end a number of key=20=
people will be presenting a "state of the art" review of KDD research=20
work currently in progress within UK institutions. Following the=20
success of UK KDD'05, hosted by the University of Liverpool, it is=20
hoped that the Symposium will once again attract delegates, both=20
national and international, who are either directly involved in KDD or=20=
have a significant interest in the subject, and that the meeting will=20
consequently afford an opportunity for lively debate and discussion.
Programme:
Vic Rayward-Smith (UEA Norwich)
Clustering applied to commercial databases.
Vic Rayward-Smith is a Professor in the School of Computing science at=20=
UEA and leads the KDD Research group at the University. He has=20
published over 150 papers, 40 of which are concerned with KDD. He is=20
editor-in-chief of the Journal of Mathematical Modelling and Algorithms=20=
and is on the editorial board of Applied Intelligence. He is on the=20
programme committee of five international conferences concerned with=20
KDD and has acted as a data mining consultant to a number of companies=20=
including Norwich Union (Aviva), the Met Office, Master Foods, Unilever=20=
and NATS.
Julia Handl (University of Manchester)
Multiobjective approaches to unsupervised classification.
Julia Handl is a PhD student in the School of Chemistry at the=20
University of Manchester. Her publications over the past three years=20
have covered a variety of topics related to unsupervised classification=20=
including cluster validation techniques, ant-based clustering and=20
multiobjective approaches to clustering and feature selection. She=20
chaired the special session on evolutionary clustering at the 2005 IEEE=20=
Congress on Evolutionary Computation, and serves as a referee for a=20
number of international conferences and journals in the field of=20
evolutionary computation.
Trevor Martin (University of Bristol)
The importance of being fuzzy.
Trevor Martin is Professor of Artificial Intelligence in the AI group=20
at the University of Bristol. Since 2001 he has been funded for 80% of=20=
his time by BT as a Senior Research Fellow, leading a project=20
researching soft computing in intelligent information management=20
including areas such as the semantic web, soft concept hierarchies and=20=
user modelling. He is a member of the editorial board of Fuzzy Sets and=20=
Systems, and has served on many conference programme and organising=20
committees, including programme chair for the 2007 IEEE Fuzzy Systems=20
Conference. He has published over 150 papers in refereed conferences,=20
journals and books, and is a Chartered Engineer and member of the BCS.
Niall Adams (Imperial College)
Fraud detection in consumer credit.
Niall Adams obtained a bachelors degree, and a PhD in Computational=20
Statistics, from Liverpool John Moores University. He worked as a=20
post-doctoral researcher at both the Open University and Imperial=20
College London, where he is now a lecturer in Statistics. His research=20=
interests includes classification and data mining, in diverse areas=20
such as consumer credit and molecular biology.
Jo Dicks (John Innes Centre, Norwich)
Germplasm collections: Gaining new knowledge from old datasets.
Jo Dicks has a BSc. in Mathematics from the University of Nottingham=20
and an MSc. in Applied Statistics and a DPhil. in Biological Sciences=20
from the University of Oxford. While at Oxford, Jo developed both=20
databases and algorithms for comparative genome analysis in mammals. In=20=
1996, Jo moved to the John Innes Centre, where she is a Project Leader=20=
in Computational Biology. Jo's group specialises in modelling=20
evolutionary processes in plants and microbes. Since 2001, Jo has held=20=
an Honorary Lectureship at UEA and has many past and current projects=20
with UEA staff in the area of biological knowledge discovery.
Mark Girolami (University of Glasgow)
Examples of Bayesian inference solving industrial problems.
Mark Girolami is a Reader in the Department of Computing Science at the=20=
University of Glasgow. His research interests lie at the interface=20
between Computing Science and Statistics. He has collaborated with=20
industry on a number of research projects that have resulted in=20
technologies for which international patents have been awarded. In 2005=20=
he was awarded an MRC funded Discipline Hopping Award to investigate=20
the application of Bayesian inference in certain problems in=20
Computational Biology. In 2000 he was the TEKES visiting professor at=20
the Laboratory of Computing and Information Science in Helsinki=20
University of Technology, and in 1998 and 1999 Dr. Girolami was a=20
research fellow at the Laboratory for Advanced Brain Signal Processing=20=
in the Brain Science Institute, RIKEN, Wako-Shi, Japan. He has been a=20
visiting researcher at the Computational Neurobiology Laboratory (CNL)=20=
of the Salk Institute. Mark holds a degree in Mechanical Engineering =20
from the University of Glasgow (1985), and a PhD in Computing Science=20
from the University of Paisley (1998).
Alex Freitas (University of Kent)
Are we really discovering interesting knowledge from data?
Alex Freitas is a Senior Lecturer at the University of Kent. He has=20
authored two research-oriented books about data mining and is a member=20=
of the editorial board of two journals: the Intelligent Data Analysis -=20=
an International Journal and the International Journal on Data=20
Warehousing and Mining. He has been a member of the program committee=20
of the PKDD conferences since 1999. His main research interests are=20
data mining, biologically-inspired algorithms and bioinformatics.
The Symposium will end with a plenary session to discuss future=20
directions and opportunities.
Organising Committee:
George Smith (Chair)
University of East Anglia
Email: [log in to unmask]
Frans Coenen
University of Liverpool
Email: [log in to unmask]
Alex Freitas
University of Kent
Email: [log in to unmask]
Website url: UKKDD=9206=20
http://www2.cmp.uea.ac.uk/Research/kdd/ukkdd06/ukkdd06.html
Registration Fee includes: coffee/tea on arrival and during break=20
periods, lunch, and a copy of the Symposium proceedings.
BCS / SGAI Member =A335.00 Non-member =A340.00
To register for the Symposium please use the registration form. Any=20
enquiries regarding registration should be sent to:
Dr Beatriz de la Iglesia: School of Computing Sciences, UEA, Norwich,=20
NR4 7TJ;
email [log in to unmask] , Tel: +44 (0)1603 592961, Fax: +44 (0)1603=20
593345.
=========================================================================
Date: Mon, 21 Nov 2005 16:21:56 +0000
Reply-To: john smith <[log in to unmask]>
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From: john smith <[log in to unmask]>
Subject: Query: control group size
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Hi all,
Just wondering if anyone could help me.
i have been asked how to calculate optimum sizes of control groups for
marketing campaigns.
I know the uptake rate of the campaigns are low, 5% or there abouts.
the population sizes vary quite a bit. but this 5% does not fluctuate
significantly.
I was wondering if anyone had any insight ino how i would tackle this
problem
Thanks
John
_________________________________________________________________
MSN has a brand-new face - visit us today! http://ie.msn.com/
=========================================================================
Date: Mon, 21 Nov 2005 17:07:32 +0000
Reply-To: John Hinde <[log in to unmask]>
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From: John Hinde <[log in to unmask]>
Subject: CONFERENCE: 21st IWSM Galway 2-7 July 2006 - First Announcement
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21st IWSM
International Workshop on Statistical Modelling
Galway, Ireland:
Sunday 2 to Friday 7 July, 2006
Pre-workshop tutorial: Sunday 2 July
First Announcement and Call for Papers
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
The International Workshop on Statistical Modelling
is an annual conference organised by the Statistical
Modelling Society. The workshop concentrates on the
various aspects of statistical modelling, including
theoretical and methodological developments, applications
and computational methods. Papers motivated by real
practical problems are encouraged, but theoretical
contributions addressing problems of practical importance
or related to software developments are also welcome.
See http://www.statmod.org for more about the history
and philosophy of the workshops.
This is the first time that the IWSM will be held in Ireland.
The scientific programme is characterised by having
invited lectures and a pre-workshop tutorial, contributed
papers, and posters. Contributed papers should be suitable
for a 20 minute oral presentation or a poster and focus
on motivation, statement of key results and conclusions,
and emphasise examples, wherever possible.
For this workshop, submissions are especially encouraged
in the following areas: environment and climate change,
spatio-temporal models, large or complex data sets,
modern Bayesian methods, longitudinal data, mixed effects models,
statistical genomics, and gene expression.
More generally, papers are encouraged which illustrate
statistical responses to modern issues, such as the
genomics revolution or environmental climate change,
or which illustrate how modern problems involving large
and complex datasets are changing the face of statistics.
Invited Speakers
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
A programme of five plenary speakers is planned emphasising
the conference themes. Confirmed speakers include
Garrett Fitzmaurice (Harvard School of Public Health, Boston),
Leo Held (LMU, Munich)
John Haslett (Trinity College, Dublin).
A one-day short course on Statistical Methods for Microarray Analysis
will be given by Ernst Wit (Glasgow, UK) on the Sunday before the
start of the conference proper.
Students
=3D=3D=3D=3D=3D=3D=3D=3D
Students are encouraged to attend the workshop.
The programme is designed to allow for discussions and
interchange between junior and senior scientists.
Awards will be given for best student talk and for best student poster.
Programme
=3D=3D=3D=3D=3D=3D=3D=3D=3D
To maintain the focus of the conference and to promote
interaction between all delegates, all talks will be the
presented in the same lecture hall.
There will be no parallel sessions.
Papers should be submitted as extended abstracts of 3-4 pages
and should indicate whether they are to be presented orally
or as a poster. All submitted abstracts will be refereed by
the Scientific Committee. Due to the limited number of oral
presentations, some authors who have submitted an abstract
for oral presentation may be asked to prepare a poster
presentation instead. There will be dedicated poster sessions
to ensure that the posters get plenty of attention and to
give presenters full opportunity to interact with conference attendees.
Abstracts (3-4 pages) should be submitted no later than January 31, 2006.
Notification of acceptance will be mailed by March 14, 2006.
All authors will be given the opportunity to contribute full
papers which will be refereed and printed in a proceedings
volume that will be ready at the beginning of the conference.
The final manuscript (up to 8 pages) ready for reproduction
should reach the organizers by April 14, 2006.
The workshop language is English.
Social Programme
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
The workshop will feature a full social programme including
a welcome, excursion and conference dinner.
Scientific Programme Committee
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D
Alan Agresti (Florida, USA),
Jim Booth (USA),
Jochen Einbeck (Galway, Ireland),
Linda Haines (Cape Town, South Africa),
John Hinde (Galway, Ireland; Chair),
John Newell (Galway, Ireland),
Vicente N=FA=F1ez-Ant=F3n (Bilbao, Spain),
Pedro Puig (Barcelona, Spain),
Jeff Simonoff (New York, USA),
Julio Singer (S=E3o Paulo, Brazil),
Ernst Wit (Glasgow, UK)
Local Organising Committee
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D
Jochen Einbeck (NUI Galway, Ireland),
Brian Francis (Lancaster University, UK),
John Hinde (NUI Galway, Ireland; Chair),
Emma Holian (NUI Galway, Ireland),
Gilbert Mackenzie (University of Limerick, Ireland),
John Newell (NUI Galway, Ireland),
Noreen Quinn (NUI Galway, Ireland)
Venue
=3D=3D=3D=3D=3D
National University of Ireland, Galway
=96 located in the centre of Galway city on the west coast of Ireland.
Further information
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Details about registration for the workshop,
instructions for authors and further information
will be available from the workshop homepage
http://www.nuigalway.ie/maths/IWSM2006/
Deadlines
=3D=3D=3D=3D=3D=3D=3D=3D=3D
January 31, 2006: Submission of abstracts (3-4 pages)
March 14, 2006: Notification of acceptance
April 14, 2006: Submission of final manuscripts
April 14, 2006: Last day for early registration
Contact details
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Professor John Hinde
Department of Mathematics
National University of Ireland, Galway
Galway
Ireland
Tel: +353 91 492043
Fax: +353 91 494542
email: [log in to unmask]
__________________________________________________________
John Hinde,
Professor of Statistics,
Department of Mathematics,
National University of Ireland, Galway,
Galway, Ireland
tel: internal ext 2043 direct +353 91 492043
dept: +353 91 492332 fax: +353 91 494542
email: [log in to unmask]
__________________________________________________________
=========================================================================
Date: Mon, 21 Nov 2005 11:04:07 -0700
Reply-To: Khristine Anderson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Khristine Anderson <[log in to unmask]>
Subject: Oracle DBA consultant - Torrance, CA
MIME-Version: 1.0
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Oracle DBA consultant - Torrance, CA
I am recruiting a P/T Oracle DBA for a biochemical company in Torrance, CA.
Here is more information:
The consultant should be a certified Oracle DBA and available to work in
their IT department for one full week and then once a week on an ongoing
basis.
COMPANY:
They are an international, technology-based company specializing in the
production of innovative biochemical and pharmaceutical compounds. This
position is within the division that has scientific know-how in peptide
conjugation, antibody production (peptides and proteins) for immunoassay,
immunohistochemistry and immunocytochemistry, kit formulation and iodination
of peptides. The company employs approximately 540 motivated and qualified
people worldwide.
If you are interested in pursuing this opportunity, please forward your:
-resume in Word or Txt format
-your compensation requirement
-confirmation that Torrance is commutable for you
-work authorization (ie citizen, green card holder, H1B, etc)
In exchange, I'll be happy to provide additional information.
Thank you so much for your time.
--
No virus found in this outgoing message.
Checked by AVG Free Edition.
Version: 7.1.362 / Virus Database: 267.13.4/176 - Release Date: 11/20/2005
=========================================================================
Date: Sun, 20 Nov 2005 18:08:06 -0000
Reply-To: Thierry Chaussalet <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Thierry Chaussalet <[log in to unmask]>
Subject: TOMORROW 22 nov 2005 16:00-18:00 at 115 New Cavendish Street:
Patient Safety Risk Management
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
"Patient Safety Risk Management" a meeting ot the OR Society Health and =
Social Studies SIG
Hosted by the University of Westminster Health and Social Care Modelling =
Group
Tuesday 22 November 2005, 16:00-18:00
115 New Cavendish Street, Room C1.04, University of Westminster, London
http://www.streetmap.co.uk/streetmap.dll?G2M?X=3D529158&Y=3D181858&A=3DY&=
Z=3D1
Dr Naomi Price-Lloyd: School of Mathematics, Cardiff University, UK
"A Comparison of Mortality Rates of MRSA and MSSA in an ICU"
Prof Steve Gallivan: Clinical Operational Research Unit (Director), =
University College London, UK
"An Application of Triangles to Safety Research"
Dr Robert C. Lee: Calgary Health Technology Implementation Unit =
(Director), University of Calgary, Canada
"Risk Analysis and Risk Management in Cancer Therapy: It's not as simple =
as we first thought.."
For more details visit http://www.orsoc.org.uk/region/study/health.htm =
or contact Dr Thierry Chaussalet, Health & Social Care Modelling Group =
(HSCMG), Cavendish School of Computer Science (CSCS), Department of =
Information Systems, 115 New Cavendish St, London. Tel: 020 7911 5000, =
email: [log in to unmask]
=========================================================================
Date: Tue, 22 Nov 2005 09:21:45 -0000
Reply-To: Roger W Humphry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roger W Humphry <[log in to unmask]>
Organization: SAC
Subject: COURSE:Network Theory, Dec7-10, Inverness
Comments: cc: [log in to unmask]
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
COURSE on Network Theory and Analysis (syllabus below) to be held
in Inverness, UK on Wed 7th - Sat 10th December.
Cost for the main part of the course Wed 7 - Friday 9th is =A3250 (or
=A3150 for students) and the cost for the full four days is =A3300 (or =A3=
150
for students).
Anyone interested should contact me, Roger Humphry at the Scottish
Agricultural College, Inverness.
[log in to unmask]
Course organisers
Drs. David Lusseau and Ross Corkrey
The course aims at introducing network theory from a biologist=99s
perspective. After an
overview of the theory upon which these tools rely (graph theory and
statistical
mechanics), the course will introduce applications of these analyses to
the study of
farmed animal management. Each topic will be introduced in an
interactive lecture
which will be followed by computer-based practical sessions.
The lecture series is aimed especially at researchers in the veterinary
field but will be useful to all researchers involved in networks.
Syllabus
Wednesday 7/12/2005
I. Introduction to graph theory (Lusseau)
II. Social network analyses (Lusseau)
Thursday 8/12/2005
III. Constructing contact networks (Lusseau)
IV. Tools for network analyses (Lusseau)
Friday 9/12/2005
V. A primer in percolation theory (Lusseau)
VI. Models of disease transmission (Lusseau)
Saturday 10/12/2005
VII. Designing surveys for social network
analyses (Corkrey)
VIII. Implementing network analyses in a
Bayesian framework (Corkrey)
*********
Dr Roger Humphry
Epidemiology Unit,
SAC, VSD,
Stratherrick Rd,
Drummondhill,
Inverness,
IV2 4JZ UK
Tel: 01463 243 030 Fax: 01463 711 103
www.sac.ac.uk/research/animalhealth/researchteams/epidemiology/
=========================================================================
Date: Tue, 22 Nov 2005 09:41:51 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Baxter <[log in to unmask]>
Organization: University of Leeds
Subject: SEMINAR: RSS Leeds/Bradford Local Group
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit
Dear Allstaters,
Please find below a reminder about next Wednesday's RSS Leeds/Bradford
Local Group Meeting. Further details can be found on our webpage:
http://www.maths.leeds.ac.uk/statistics/rss/
All welcome!
Regards, Paul
===================================================================
Dr. Paul D. Baxter
Secretary/Treasurer, RSS Leeds/Bradford Local Group,
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK.
-------------------------------------------------------------------
Leeds/Bradford: Wednesday 30 November, 4pm, Roger Stevens Building LT12,
University of Leeds (tea from 3.30pm on Level 9 of the School of
Mathematics)
David Knapp (University of Leeds)
Life, Statistics and Art
Since ancient times fortune or misfortune has inspired great art.
Commerce and Art shared many techniques during medieval and renaissance
periods. More recently artists derided the ideas from statistical
physics and countered by producing "Art of the Absurd". Some used random
processes to create art. The talk will be about interactions between art
and measurement.
=========================================================================
Date: Tue, 22 Nov 2005 12:10:23 -0000
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Biostatistics Manager-Pharma Client -South East
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
Biostatistics=20Manager-=20South=20East-=20Pharmaceutical=20Company-=20Exc=
ellent=20Salary=20Package
My=20client=20is=20actively=20looking=20for=20a=20Biostatistics=20Manager=20=
with=20responsibility=20for=20planning,=20developing=20and=20managing=20th=
e=20Biostatistics=20Group=20to=20ensure=20the=20provision=20of=20statistic=
al=20plans=20and=20analysis=20for=20clinical=20drug=20trials,=20clinical=20=
trial=20reports=20and=20protocols.=20You=20will=20be=20required=20to=20con=
tribute=20to=20the=20development=20and=20performance=20of=20teams=20capabl=
e=20of=20delivering=20assigned=20drug=20development=20projects=20to=20agre=
ed=20time,=20quality=20and=20budget=20requirements=20and=20lead=20and/or=20=
contribute=20personal=20and=20team=20input=20to=20Global=20Project=20Teams=
=20to=20maximise=20effectiveness=20of=20drug=20development.=20PhD/MSc=20wi=
th=20statistical=20background=20Ideally=208-10=20years=20in=20Biostatistic=
s=20in=20pharmaceutical=20R=20&=20D=20=20Experience=20of=20multi-disciplin=
ary,=20international=20drug=20development=20in=20a=20variety=20of=20therap=
eutic=20areas.=20Prior=20experience=20of=20managing=20a=20Biostatistics=20=
team.
For=20more=20information=20on=20this=20exciting=20opportunity=20to=20furth=
er=20your=20career=20in=20the=20pharmaceutical=20industry=20please=20conta=
ct=20me=20for=20a=20confidential=20discussion.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Tue, 22 Nov 2005 13:18:21 +0000
Reply-To: "G.S.Clarke" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "G.S.Clarke" <[log in to unmask]>
Organization: University of Wales, Bangor
Subject: follow up enquiry about analysing non-parametric "ANOVA"
MIME-Version: 1.0
Content-Type: text/plain; charset=us-ascii; format=flowed
Content-Transfer-Encoding: 7bit
Hello,
recently I posted an enquiry about texts/articles regarding non
parametric analysis; many thanks to those who pointed me in the
direction of references. While I wait for these references to turn up,
I was wondering if anyone could 'get me started' with (i.e. give me
advice on how to do) the following analysis.
I have data, based upon a 5 point likert scale that I wish to analyse in
a manner akin to that of factorial ANOVA (actually that is ANCOVA) I
have a number of dichotomous independent variables and one co-variate
and I would like to know to what degree they influence the likert results.
How 'dangerous' is it to drop the likert data into a standard ANCOVA?
If it is 'possible' are there diagnostics to check that it has worked?
or is it just a really bad idea?
Thanks to everyone for their help and patience.
Graham
--
Dr G.S.Clarke
Lecturer in Physiology & Biometry
Faculty of Health Studies
University of Wales, Bangor
Fron Heulog
Ffriddoedd Road
Bangor
Gwynedd LL57 2EF
Tel: 01248 383157
e-mail: [log in to unmask]
=========================================================================
Date: Tue, 22 Nov 2005 14:07:27 -0000
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Contract Statistician-Pharma Client-South East
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
Contract=20Statistician-Pharma=20Client-South=20East-=20Initially=206=20mo=
nths-=20Excellent=20Rates
My=20client=20is=20currently=20looking=20for=20a=20Statistician=20with=20a=
t=20least=203-5=20years=20experience=20in=20the=20pharmaceutical=20industr=
y.=20Ideally=20you=20will=20have=20an=20MSc=20in=20Statistics=20and=20have=
=20experience=20of=20working=20in=20Phase=201.=20The=20role=20will=20comme=
nce=20in=20the=20New=20Year=20and=20initially=20run=20until=20July=20with=20=
a=20view=20to=20extension.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Tue, 22 Nov 2005 16:57:19 +0000
Reply-To: Claus Mayer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Claus Mayer <[log in to unmask]>
Subject: RSS-SEMINAR: Ian White, 23/11/04, Aberdeen
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Dear all!
Below you will find details of the next meeting of the Highland Local
RSS group.
All welcome
Claus
----------------------------------------------------------------------------------
TITLE: Missing baseline data in randomised trials.
SPEAKER: Ian White (MRC, Cambridge)
DATE: Wednesday, 23rd of November 2005, 4pm (tea and coffee from 3:30 pm)
VENUE: Room 1:147, Polwarth Building, Forester Hill, Aberdeen
(Map of Foresterhill site
http://www.abdn.ac.uk/central/vcampus/foresterhill/index.shtml
Map of Medical School Building
http://www.abdn.ac.uk/central/vcampus/foresterhill/medschool.shtml)
ABSTRACT: I will briefly review the difficult problems of missing
outcome data in randomised trials and missing covariates in
observational studies.
However, methods developed for these situations turn out not to be
appropriate for dealing with missing baseline data in randomised trials.
I will show that excluding participants with missing baselines is a bad
option, but most other options, including simple mean imputation and a
missing indicator method, are adequate.
***********************************************************************************
Claus-D. Mayer | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: [log in to unmask]
Rowett Research Institute | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
***********************************************************************************
=========================================================================
Date: Tue, 22 Nov 2005 18:03:51 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Senior Statistician
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Content-Type: text/plain; charset="us-ascii"
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CONTRACT: Senior Statistician
=20
Salary: GBP 50ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
A major client is looking for a Statistician, preferably available
immediately. Ideally the candidates should have 5+ years background in
stats and the writing of Statistical Analysis Plans (SAPs) within a
pharma environment. This contract will run for 12 months.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date copy of your CV, quoting the
reference 'grv-4190'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Tue, 22 Nov 2005 23:22:04 +0000
Reply-To: Sameer Nizarali Parpia <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sameer Nizarali Parpia <[log in to unmask]>
Subject: Query: Relative odds
MIME-version: 1.0
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Content-transfer-encoding: 7BIT
Content-disposition: inline
Hi
Can anyone suggest references relating to the topic of 'estimators of relative odds or odds ratio' and their
evaluation?thanks
sameer
=========================================================================
Date: Wed, 23 Nov 2005 07:57:06 +0000
Reply-To: Carole Sanford <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carole Sanford <[log in to unmask]>
Subject: Statistical Packages
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Hi,
I wonder if anyone would mind giving me their opinion on STATA?
I have never used it and have been asked to find out a bit more about it;
how easy is it to learn, how powerful it is both for statistical analysis
and data manipulation, how user-friendly is it, how professional does the
output look, how compatible is it with other data/statistical packages, etc.
etc.
I am a regular user of SAS, SPSS, Minitab and E-Views so any comparison you
can give me with any of those packages would be really helpful.
Also, is there anything about STATA that you particularly like/annoys you
like mad?!
Thank you for you help,
Best regards,
Carole Sanford.
=========================================================================
Date: Wed, 23 Nov 2005 08:26:59 +0000
Reply-To: Suzanne Guerin <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Suzanne Guerin <[log in to unmask]>
Subject: Interpreting partial eta
MIME-version: 1.0
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
Hello all,
I am looking for a rule of thumb for interpreting partial eta squared (other
than as a % of variance accounted for). I see from the archives that this
question has been asked before but I can't seem to find any replies to the
list.
Many thanks
Suzanne
----------------------------------------------------------------------------
Suzanne Guerin, PhD.
Lecturer in research design and analysis.
UCD School of Psychology,
University College Dublin, Belfield, Dublin 4, Ireland.
=========================================================================
Date: Wed, 23 Nov 2005 10:24:49 +0000
Reply-To: Peter Watson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE CAMBRIDGE STATISTICS DISCUSSION GROUP reminder
MIME-Version: 1.0
Content-Type: MULTIPART/MIXED; BOUNDARY="-559023410-959030623-1132741489=:9718"
This message is in MIME format. The first part should be readable text,
while the remaining parts are likely unreadable without MIME-aware tools.
---559023410-959030623-1132741489=:9718
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Here's a Reminder of November's meeting:
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Wednesday 30th November 2005 7:15 for 7:45
Statistical Laboratory,
Centre for Mathematical Sciences,
Wilberforce Road
Cambridge
Design of experiments and analysis of data
concerning GM crops
Joe Perry, Suzanne Clark Peter Rothery
Rothamstead Research, Centre for Ecology & Hydrology,
Harpenden, Herts Monks Wood
Abstract:
My research on GM crops has largely involved collaboration on the design an=
d=20
analysis of the UK Farm Scale Evaluations of genetically modified=20
herbicide-tolerant (GMHT) crops. Results concerning the effects of herbici=
de=20
management practices on farmland wildlife for three spring-sown crops (beet=
,=20
spring oilseed rape and maize) were published in autumn 2003 and spring 200=
4;=20
results from the fourth crop, winter oilseed rape, were published sometime =
in=20
March 2005. A brief summary will be given of the results published to date=
=2E
Some other GM work will be summarised. Simple mathematical models can be=
=20
used to show how the adverse effects of GMHT systems on the wildlife in sug=
ar=20
beet crops might be mitigated. Another study involved mathematical modelli=
ng=20
of relevance to the issue of coexistence between GM crops and organic or=20
conventional crops; this estimated the land available for planting and how=
=20
this may be affected by the separation distances proposed between GM and ot=
her
crops. Other modelling involves gene flow and demonstrates how decisions=
on=20
separation distances may be critically dependent on assumptions made for=20
long-distance gene flow. Further work is ongoing with Marie Castellazzi=20
(Rothamsted Research) within a 42-partner EU-funded project entitled=20
SIGMEA, in which gene flow models developed in France are to be upscaled to=
=20
the landscape level. A short description will be given of our work in this=
=20
project, to design a landscape simulator.
Speaker:
Joe Perry has worked at Rothamsted Research for twenty-nine years, research=
ing=20
quantitative methods applied to ecology. He spent 16 years in the Statisti=
cs=20
Department, and moved to his current Division, of Plant & Invertebrate Ecol=
ogy
in 1993. For many years he has researched methods of detecting spatial=
=20
pattern, and his SADIE system is used increasingly to measure clusters in t=
he=20
form of patches and gaps in abundance and to quantify spatial association.
He was awarded a DSc degree by the University of Reading in 1989 and since=
=20
1994 he has been Visiting Professor of Biometry at the University of Greenw=
ich.
He is currently President of the British Region of the International=20
Biometric Society.
His work on GM began in 1999 when he teamed up with Peter Rothery and=20
Suzanne Clark as part of the Consortium formed to undertake the UK=92s Farm=
=20
Scale Evaluations (FSE) of Genetically Modified Herbicide-Tolerant crops.=
=20
The FSE studied the effect of herbicide tolerant systems of management on=
=20
farmland wildfile. They became the biggest study of the environmental impa=
ct=20
of GM crops conducted anywhere in the world and represented the only time t=
hat
scientists have evaluated the environmental impact of a new farming pract=
ice=20
in the UK before its introduction. When not at work Joe enjoys singing and=
=20
playing cricket.
Directions:=20
The main entrance is reached from Clarkson Road by going along the=20
footpath to the right of the Newton Institute, and turning left through the
gatehouse towards the main building (Pavilion A), which has a glass front a=
nd
a curved grassed roof. The main entrance is in the middle of the glass=20
front. Coffee before the talk will be in the common room in Pavilion D,=20
and the talk will be in Meeting Room 5 in Pavilion A. Free Parking is=20
available after 5pm on Clarkson and Wilberforce Roads.
Next Meetings (2006):=20
1st February - Stephen Duffy (Cancer Research UK).
13th March - Ian White (Biostatistics) on 'Analysing imperfect randomised=
=20
trials'.
3rd April - Rebecca Turner (Biostatistics).
4th May - Adam Kleczkowski (Plant Sciences).
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 6pm. Feel free to join them.
Subscriptions: of 4 pounds per attender are now due for the 2005-2006 sessi=
on.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,=20
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;=20
E-mail [log in to unmask]
---559023410-959030623-1132741489=:9718--
=========================================================================
Date: Wed, 23 Nov 2005 12:47:00 +0000
Reply-To: Gill Lancaster <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gill Lancaster <[log in to unmask]>
Subject: Job: Permanent L/SL in Medical Statistics, Liverpool
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THE UNIVERSITY OF LIVERPOOL
CENTRE FOR MEDICAL STATISTICS AND HEALTH EVALUATION
& CR-UK LIVERPOOL CANCER TRIALS UNIT
LECTURER/SENIOR LECTURER IN MEDICAL STATISTICS
Initial salary within the range =A325,633 - =A349,115 pa
The CR-UK Liverpool Cancer Trials Unit (LCTU) is committed to building upon
its success in the coordination of national and international cancer trials
for which we have developed particular expertise.
This post is to strengthen the statistical aspects of the work undertaken
within the LCTU. The postholder will collaborate with senior researchers in
planning new projects including grant applications and develop a personal
programme of methodological and/or applied research.
The post-holders should have an MSc or PhD in medical or applied
statistics, be able to work independently as well as part of a team, and
have effective interpersonal skills.
Enquiries to Professor Paula Williamson on 0151-794-4760, email:
[log in to unmask], or Professor John Neoptolemos, on 0151-706-4175, email:
[log in to unmask]
Closing Date: 30th November
Further particulars and details of the application procedure should be
requested from the Director of Personnel, The University of Liverpool,
Liverpool l69 3BX on 0151 794 2210 (24 hr answerphone) email:
[log in to unmask] or are available online at
http://www.liv.ac.uk/university/jobs.html
COMMITTED TO EQUAL OPPORTUNITIES
=========================================================================
Date: Wed, 23 Nov 2005 13:18:32 -0000
Reply-To: [log in to unmask]
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From: Richard Pugh <[log in to unmask]>
Subject: JOB: Consultants, Mango Solutions (UK)
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Mango Solutions, providers of S-PLUS and R consulting, development and
Training Services, are looking for 2 consultants to join their UK-based
technical team. We are looking for highly motivated individuals to work in
a customer-focused environment.
This is a unique opportunity to develop within a dynamic company which has
been expanding rapidly and profitably since it's inception in 2002. Mango
Solutions have an excellent reputation for quality work, and customers
include major finance, pharmaceutical, marketing and consumer companies.
For further information, please send your CV to [log in to unmask]
S-PLUS/R Pharmaceutical Consultant (Reading, UK)
The role
* To provide ad-hoc statistical software consulting services to
pharmaceutical customers.
* To create and deliver tailored statistical software courses to
pharmaceutical clients worldwide.
* To advise pharmaceutical customers on statistical and software
issues.
* To participate in the design and implementation of bespoke
statistical and reporting applications.
Qualifications
* Msc or Phd in statistics, mathematics or computer sciences.
* Knowledge of statistical languages: S-PLUS, R, or SAS.
* Experience of statistical programming and modelling in a
pharmaceutical environment.
* Excellent communication skills.
* Experience of other pharmaceutical softwares is an advantage (eg.
NONMEM, Spotfire, Pharsight, WinBugs).
* Experience of general software systems is an advantage (eg. Java,
Oracle, C, XML, HTML).
Offering
* Opportunity to extend your technical knowledge within the
pharmaceutical sector.
* Exposure to other areas of statistical software consulting by
working with customers from finance, CRM, consumer and environmental
sectors.
* Flexible working environment and working hours.
* Competitive salary.
S-PLUS/R Finance Consultant (Reading, UK)
The role
* To support the development of the R language in the financial
sector.
* To provide ad-hoc statistical software consulting services to
finance customers.
* To create and deliver tailored statistical software courses to
finance clients worldwide.
* To advise financial customers on statistical and software issues.
* To participate in the design and implementation of bespoke
statistical and reporting applications.
Qualifications
* Msc or Phd in statistics, mathematics, physics or computer sciences.
* Knowledge of statistical languages: S-PLUS, R, or Matlab.
* Experience of programming and analysis in a financial company.
* Excellent communication skills.
* Experience of other finance softwares is an advantage (eg. eViews,
FactSet, RATS).
* Experience of general software systems is an advantage (eg. Java,
Oracle, C, XML, HTML).
Offering
* Opportunity to extend your technical knowledge within the finance
sector.
* Exposure to other areas of statistical software consulting by
working with customers from pharmaceutcal, CRM, consumer and environmental
sectors.
* Flexible working environment and working hours.
* Competitive salary.
=========================================================================
Date: Wed, 23 Nov 2005 15:18:03 -0000
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Contract SAS Programmer-Germany-12 months
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Dear=20Allstat,
My=20client=20is=20actively=20looking=20for=20a=20SAS=20programmer=20who=20=
will=20plan=20and=20lead=20study/project=20activities=20for=20data=20repor=
ting.
They=20will=20have=20responsibility=20for=20ensuring=20analysis=20data=20a=
nd=20programming=20code=20meet=20regulatory=20and=20company=20standards=20=
and=20are=20consistently=20structured=20to=20ensure=20efficient=20programm=
ing=20and=20reporting.
They=20will=20be=20required=20to=20develop=20expertise=20in=20the=20use=20=
of=20SAS=20and=20other=20in-house=20reporting=20systems=20and=20the=20use=20=
and=20set-up=20of=20the=20reporting=20environment=20
To=20be=20successful=20they=20need=20a=20minimum=20of=203-5=20years=20hand=
s-on=20SAS=20programming=20experience,=20including=20the=20ability=20to=20=
use=20and=20develop=20advanced=20SAS=20macros.=20Backed=20up=20by=20a=20BS=
c=20in=20computing,=20life=20sciences.=20mathematical=20or=20statistical=20=
subject.=20Relevant=20experience=20in=20the=20pharmaceutical=20industry=20=
is=20a=20must.
They=20need=20a=20good=20understanding=20of=20different=20phases=20and=20t=
ypes=20of=20clinical=20trial=20reporting=20and=20the=20goals=20of=20report=
ing=20clinical=20data.=20
Excellent=20organisational=20and=20analytical=20skills=20and=20good=20atte=
ntion=20to=20detail.=20Excellent=20communication=20skills=20
This=20is=20an=20excellent=20opportunity=20to=20further=20your=20experienc=
e=20in=20an=20international=20environment.=20For=20a=20full=20overview=20o=
f=20the=20role=20please=20contact=20me=20for=20a=20confidential=20discussi=
on.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Wed, 23 Nov 2005 17:37:56 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Phase I Statistician (work from home)
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CONTRACT - Phase I Statistician (work from home)
=20
Salary: EURO - 80 ph, DOE=20
=20
Business Type: Clinical Research Organisation=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
I have an open position for a statistician with an expertise in the
Phase I arena to join a team for an initial 6 months. The role will
involve working within a small, locally run team and will be extended
for a further 12 months depending on the success of the initial period.
Candidates require 4+ years in clinical statistics with extensive
knowledge of phase I trials. Candidates must speak fluent English and
have good SAS knowledge. There will be flexibility for candidates to
operate a proportion of the contract from home.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference 'grv-4270'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
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the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 23 Nov 2005 17:44:04 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: George Vernon <[log in to unmask]>
Subject: JOB: Contract Biostatistician - Working from home
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Contract Biostatistician - Working from home
=20
Salary: EURO 80ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
My client requires a statistical expert to take full responsibility for
a phase IIIb-IV marketing study. There is the capacity to operate from
home in this assignment, although onsite work will be required.
Candidates require an MSc in statistics with 4+ years in clinical
statistics position. Candidates available for a handover in December
will be preferable.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date CV quoting the reference 'grv-4118'.
=20
Contact Details
=20
Hobson Prior=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 23 Nov 2005 21:44:06 -0000
Reply-To: Chris Russon <[log in to unmask]>
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From: Chris Russon <[log in to unmask]>
Subject: UNSUBSCRIBE
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=========================================================================
Date: Thu, 24 Nov 2005 09:01:33 +0000
Reply-To: Lungowe Mwenda <[log in to unmask]>
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From: Lungowe Mwenda <[log in to unmask]>
Subject: UNSUBSCRIBE
In-Reply-To: <000d01c5f077$08bf33d0$0302a8c0@belle>
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_________________________________________________________________
Express yourself instantly with MSN Messenger! Download today it's FREE!
http://messenger.msn.click-url.com/go/onm00200471ave/direct/01/
=========================================================================
Date: Thu, 24 Nov 2005 13:21:43 -0000
Reply-To: Fen Scott <[log in to unmask]>
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From: Fen Scott <[log in to unmask]>
Subject: Course: Creating Automatic Systems with Excel VBA
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=======================================================================
===
Course: Creating Automatic Systems with Excel VBA
Duration: 5 days*
Cost: 995 pounds* plus VAT per delegate
Venue / Dates: London (6-10 March 2006)
Newcastle upon Tyne (13-17 March 2006)
Birmingham (3-7 April 2006)
=======================================================================
===
IntrepiData is pleased to announce details of its new course, "Creating
Automatic Systems with Excel VBA".
New for 2006, this course is aimed at current users of Excel who wish to
enhance their spreadsheet productivity by utilising Excel's built in
programming language, Visual Basic for Applications (VBA) to create
systems to automatically perform manual repetitive spreadsheet tasks.
The course takes the delegate from the basics of macro recording through
to much more advanced topics such as creating and automating userforms,
automating PivotTable reports with VBA and much more. NO PREVIOUS
PROGRAMMING KNOWLEDGE IS REQUIRED.
The course is hands-on throughout and the delegate will be developing
automatic systems throughout the 5 days of the course. Many of the
systems developed during the course will be applicable back in the
work-place, thereby enhancing spreadsheet productivity very quickly.
* For delegates who have already attended our "Introduction to Excel
VBA" or "Excel VBA for School Data" courses, the first day of this
course can be skipped. The cost for the 4-day abridged course is 850
pounds plus VAT.
SPECIAL OFFER: Any 2006 course deliveries booked by 16th December 2005
will qualify for a 10% discount on the normal course price. Please quote
this offer when booking onto any of the courses.
For more information about this or any of the other courses or services
that IntrepiData can provide visit www.intrepidata.co.uk or
alternatively feel free to call me.
To book a place on any of our courses, please do not hesitate to contact
me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Thu, 24 Nov 2005 14:12:33 +0100
Reply-To: "Rigat, F." <[log in to unmask]>
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From: "Rigat, F." <[log in to unmask]>
Subject: Reminder: EURANDOM workshop "Statistics for Biological Networks"
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ICAgICAgICAgICAgICAgICAgRmFiaW8gUmlnYXQNCg0K
=========================================================================
Date: Thu, 24 Nov 2005 14:56:42 -0000
Reply-To: Simon Ellis <[log in to unmask]>
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<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB:Consultant Statistician- Italy
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Dear Allstat
=20
=20
Currently we are seeking a consultant Biostatistician to work in Italy
for 6 months to cover a maternity leave. We need someone who has at
least 3 years of experience in Biostatistics (for either a CRO or
Pharmaceutical company) including experience of both analysis and report
writing.
=20
You will be working on a phase III oncology trial so knowledge of this
area is going to be beneficial.
=20
The role is for an international pharma so Italian skills are not
essential although preference would be give to those who can speak
Italian.
=20
The rate is dependent on your level of experience but will range from
around 500- 800 Euros per day.
=20
Please contact me for further details.
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Thu, 24 Nov 2005 16:04:05 -0000
Reply-To: Mark O'Brien <[log in to unmask]>
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From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Statistical Programmers X 3-Perm-South East
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Dear=20Allstat,
SAS=20Programmers=20X=203-Permanent-South=20East-=20Excellent=20Remunerati=
on=20Package
My=20client=20is=20actively=20looking=20for=203=20SAS=20Programmers=20with=
=20a=20background=20of=20working=20with=20assigned=20statistical=20analysi=
s=20programming=20deliverables=20for=20global=20Phase=20I-IV=20trials.=20
Responsibilities=20Include:
Provide=20input=20as=20appropriate=20into=20all=20meetings,=20discussions=20=
and=20activities=20covering=20all=20SAS=20programming=20aspects=20=20for=20=
assigned=20trials.=20=B7=20Provide=20input=20as=20appropriate=20into=20stu=
dy=20protocol=20and=20CRF=20to=20ensure=20that=20both=20documents=20are=20=
consistent=20and=20adhere=20to=20the=20standards=20of=20the=20client=20=B7=
=20=20Perform=20quality=20control/validation=20of=20SAS=20programming=20de=
liverables=20(datasets,=20tables,=20listings=20and=20figures).=20Adhere=20=
to=20pre-defined=20project/study=20standards=20and=20specifications.=20=20=
=B7=20Responsible=20for=20archiving=20of=20trial=20analyses=20and=20associ=
ated=20documentation.=20=B7=20Program=20analysis=20datasets,=20listings,=20=
tables=20and=20figures=20for=20phase=20I-IV=20clinical=20trials=20accordin=
g=20to=20the=20client=20=20Mentor=20and=20train=20junior=20programmers=20o=
n=20technical,=20trial=20and=20project=20level=20processes=20=B7
=20Essential=20Skills=20and=20Qualifications:
Minimum=20of=20a=20BA/BSc=20or=20equivalent=20in=20computer=20science,=20m=
athematics,=20statistics,=20life=20sciences=20or=20related=20field(s).=20=B7=
=20Excellent=20working=20knowledge=20of=20SAS=20(BASE,=20MACRO,=20GRAPH).=20=
=B7=20Knowledge/experience=20in=20database=20design.=20=B7=20Minimum=20of=20=
1-2=20years=20experience=20in=20programming=20support=20for=20clinical=20t=
rial=20management=20=B7=20Knowledge=20of=20global=20clinical=20trial=20pra=
ctices,=20procedures,=20methodologies.=20=20=20
For=20further=20information=20on=20this=20exciting=20opportunity.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Thu, 24 Nov 2005 17:31:35 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: URGENT CONTRACT - BIOSTATISTICAN
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
URGENT CONTRACT - BIOSTATISTICAN
=20
Salary: CHF 110-130 ph DOE
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Switzerland=20
=20
Background:=20
=20
My client requires a biostatistician with 4+ years experience in
pharmaceutical development to take responsibility for statistical tasks
for a specific therapeutic area. This includes protocol writing,
analysis planning programming and reporting and statistical
consultation. Candidates will ideally be available for a start before
Christmas speak fluent English and have good knowledge of SAS.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV, quoting the
reference grv-4107=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 24 Nov 2005 14:07:40 +0000
Reply-To: Carole Sanford <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Carole Sanford <[log in to unmask]>
Subject: Statistical Packages - Summary of responses
Mime-Version: 1.0
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Hello,
Thank you to everyone who passed on their views regarding the statistical
package Stata (or STATA as many people refer to it, although I was corrected
twice on the incorrect use of capitalisation!).
A number of people expressed an interest in a summary of the responses I
received and so here it is;
A high level summary is that Stata is a good package, it's easy to learn,
has common sense command language, is powerful enough to do the type of
statistical analysis that most of us do, has excellent help and support
features and is fast at processing. The main downside people mentioned is
that the graphics are slow and can be difficult to use and the output is
very basic.
If you require a more in-depth summary then I have copied a number of the
actual comments made below. Please note that these are not my opinion,
simply other AllStat member's honest views.
Once again, thank you very much to all of you who took the time to reply,
Best regards,
Carole.
Comments - in no particular order;
"...it does still retain the feel of a command line DOS programme..."
"Documentation very good"
"Stata is good and quick to learn for simple analysis"
"SAS would still be a serious contender for power but it's really a
different ballgame"
"Less than straightforward graphic features"
"...it does contain almost all the advanced features that you can get from
SAS"
"...where Stata excels is in its very powerful data handling abilities"
"...but it also extends to very powerful manipulations and analyses"
"Graphics very good but a little slow"
"SPSS has more bells and whistles and colour and multiple windows etc"
"Stata is by far the easiest to learn" (SAS, S+/R and Stata)
"Stata was relatively easy to learn"
"The biggest annoying drawback is that industry doesn't use STATA!"
"The manuals and help are very useful"
"...found STATA much easier and much more user friendly than SAS"
"...It is a very flexible package, much more user friendly than SAS"
"The data manipulation is powerful and quite easy to learn"
"...the commands are easy to learn"
"Graphics are excellent, if a little slow"
"STATA is extremely powerful"
"...it does seem to take quite a while for a graph to be displayed"
"The tabular output is not of such a high standard"
"...the outputs are only in text form, unlike in SPSS where they have nicely
drawn tables"
"The syntax of the commands is simple so quite easy to learn"
"Stata is a very user-friendly package"
"Manuals are voluminous and excellent, with very good examples"
"It is very fast, very flexible and with a huge repertoire of routines"
"Graphics are flexible in Stata, although they may be difficult to use"
"The main drawback with STATA as opposed to SAS is that you can only work
with one dataset at once"
"I would strongly recommend Stata"
"There is excellent support from the Stata Corporation"
"STATA has a very good online help system"
"Graphics are easy to use although need work to be of sufficient quality for
publication"
=========================================================================
Date: Thu, 24 Nov 2005 13:43:15 -0500
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Job posting
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
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If you have a job ad that you would like posted, I will gladly post it on my
job page, at http://www.datashaping.com/jobs.shtml
Only one job ad will be posted, sorry.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
=========================================================================
Date: Thu, 24 Nov 2005 12:05:02 -0500
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Earn a referral bonus ($2000 potential)
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
If your employer has current or future openings for data analysts,
statisticians, data miners, Perl projects, web mining, text mining, pattern
recognition (finance, fraud detection), large datasets, litigation, you
might consider submitting my resume. I am particularly interested in
consulting opportunities.
With over 12 years of statistical expertise including in statistical
litigation, post-doctorate from Cambridge University (England) and most
recently fraud detection (credit card fraud detection with VISA, Internet
advertising fraud, automated detection of copyright infringement, marketing
databases), I believe that I could create a substantial interest from
companies that process huge amounts of data. Feel free to visit my company's
website - datashaping.com - for more information on my expertise,
intellectual properties, list of publications, clients and consulting
projects.
Also check with your hiring manager or HR department about your company's
referral policy. Usually you can get a $2000 bonus. In addition, I will
match any referral bonus that you receive, up to 10% of after-cost revenue.
My resume is available at http://www.datashaping.com/vincent.shtml.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
=========================================================================
Date: Thu, 24 Nov 2005 17:25:33 +0000
Reply-To: Marc Saunders <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Marc Saunders <[log in to unmask]>
Subject: Statistician - Paris - 4 months
Hello
Our client, a Leading Pharmaceutical Company are looking for a Freelance
Statisitican to work in their paris office for an initial period of 4
months. You will be involved in Statistical Analysis and Data Management
of Clinical Trials Data and will need to be an experienced biostatistician
and fluent in French. Start date is anticipated at the end of January/
beginning of February 06. If interested please call or email me. Thank you
for your attention.
Kind regards
David
David Gilchrist
Pharma Resource Consultant
Square One Pharma Resources
Earl Place
15 Appold Street
London EC2A 2AD
Tel: +44 (0)20 7208 2848
Mobile: +44(0)7834 131520
Fax: +44 (0)20 7208 2858
Email: [log in to unmask]
Web Site http://www.squareonepharma.com
The information in this email is confidential and may be legally privileged
for use by the addressee only. If you are not the intended recipient, you
must not use, disclose, distribute, copy, print or rely on this message.
Please notify the sender by return email and then delete the message from
your computer. Square One Resources Limited accepts no responsibility for
changes made to this message after it was sent Although this email and any
attachments are believed to be free of any virus, or any other defect which
might affect any computer or IT system into which they are received and
opened, it is the responsibility of the recipient to ensure that they are
virus free and no responsibility is accepted by Square One Resources
Limited for any loss or damage arising in any way from receipt or use
thereof. Any opinions or advice contained in this email are not necessarily
those of Square One Resources Limited
=========================================================================
Date: Thu, 24 Nov 2005 23:08:37 -0800
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: data on rumor
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Dear Friends,
Can you help me where i can get the real
data on rumor.
Thanking you
Arindam
Arindam Gupta
Senior Research Fellow
Department of Statistics
Calcutta University
India
web side - www.custat.org
Ph No.- 9433261178
__________________________________
Start your day with Yahoo! - Make it your home page!
http://www.yahoo.com/r/hs
=========================================================================
Date: Fri, 25 Nov 2005 08:58:06 -0000
Reply-To: S Gillman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: S Gillman <[log in to unmask]>
Subject: COURSE: CRITICAL APPRAISAL OF QUANTITATIVE RESEARCH, BRISTOL
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; FORMAT=flowed
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University of Bristol, Dept. of Social Medicine
Critical appraisal of quantitative research - 1 day course
DATES: 26 January 2006
FACULTY: Sarah Purdy & Sarah Sullivan (course organiser), Prof.
David Gunnell, Dr Jonathan Sterne
FURTHER INFO: http://www.epi.bris.ac.uk/shortc
COURSE AIMS/OBJECTIVES: By the end of the course students should
be able to:
give a structured appraisal of a published quantitative research
paper identifying its strengths and weaknesses
describe the main quantitative research methodologies
identify sources of bias and confounding in published papers
Cost: =A3750 (see website for concessions)
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
=========================================================================
Date: Fri, 25 Nov 2005 10:19:06 -0000
Reply-To: Pauline Rogers <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Pauline Rogers <[log in to unmask]>
Subject: MANUALS: Stata 6 manuals - free
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Dear All,
We have been sorting out the office and have found an old set of Stata 6
manuals (User Guide and reference). They are free to anyone who can collect
them from our office in Harrow, Middlesex.
Pauline Rogers
Pauline A Rogers MSc CStat (Mrs)
Statistician
Cancer Research UK
Colorectal Cancer Unit
St Mark's Hospital
Northwick Park
Harrow
Middx
HA1 3UJ
=========================================================================
Date: Fri, 25 Nov 2005 12:37:47 +0100
Reply-To: anders Holmblad <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: anders Holmblad <[log in to unmask]>
Subject: UNSUBSCRIBE
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
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>From: Lungowe Mwenda <[log in to unmask]>
>Reply-To: Lungowe Mwenda <[log in to unmask]>
>To: [log in to unmask]
>Subject: UNSUBSCRIBE
>Date: Thu, 24 Nov 2005 09:01:33 +0000
>
>_________________________________________________________________
>Express yourself instantly with MSN Messenger! Download today it's FREE!=
=20
>http://messenger.msn.click-url.com/go/onm00200471ave/direct/01/
_________________________________________________________________
Undg=E5 pop-ups med MSN Toolbar - http://toolbar.msn.dk/ hent den gratis=
!
=========================================================================
Date: Fri, 25 Nov 2005 14:17:38 -0000
Reply-To: Chris Kershaw <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Kershaw <[log in to unmask]>
Subject: Date for your diary - RSS social statistics section meetings on
13 December
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Royal Statistical Society=20
=20
Meeting of the Social Statistics Section
=20
Event History Analysis=20
=20
Event histories provide a longitudinal record of the timing of events =
such
as births, changes in employment, and the formation and dissolution of
marriages and cohabitations. Event history data have been collected in =
a
number of British surveys, including the cohort studies and the British
Household Panel Study (BHPS), and are an essential source of information =
for
the study of individual behaviour over time. =20
=20
The meeting will begin with a presentation on the advantages of using =
event
history data to understand social processes. This will be followed by
discussions of some key methodological issues in event history analysis,
including unobserved heterogeneity, measurement error, endogeneity, and
simultaneous modelling of multiple histories. Each talk will be =
illustrated
with examples from social research, using data from major British =
surveys
such as the National Child Development Study and the BHPS.
=20
Speakers:
The speakers will be Jane Elliott (Centre for Longitudinal Studies,
Institute of Education), Andrew Pickles (Centre for Census and Survey
Research and School of Epidemiology and Health Science, University of
Manchester) and Arnstein Aassve (Institute for Social and Economic =
Research,
University of Essex). Chair Fiona Steele.
=20
Date & Time:
=20
Tuesday 13 December 2005, 5:00 PM (Tea from 4:30)
=20
Place:
=20
RSS, 12 Errol Street, London EC1Y 8LX
=20
Admission:
=20
The meeting is open to all and free of charge
=20
For more information please contact:
Fiona Steele
[log in to unmask]
=20
Pre-registration is recommended. You can register by email:
[log in to unmask] or by phone (020) 7638 8998
The next meeting on "Queering Statistics" is on 17 January. This is a =
joint
event with the SRA and is sponsored by TNS with a drinks reception to =
follow
(a reminder email will be issued for this event closer to the date).=20
Chris Kershaw
Secretary of the RSS Social Statistics Committee
=20
=20
=========================================================================
Date: Fri, 25 Nov 2005 15:45:52 -0000
Reply-To: John Steward <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Steward <[log in to unmask]>
Subject: JOB - Cardiff WCISU
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Post: Statistician/Research Officer=20
Reference: Grade: - Band 5 =
subject to AfC evaluation
Hours:- 37.5 per week Contract: Permanent
Salary:- =A318698 - 24198
Department: Analysis Team=20
Base: WCISU, 3rd Floor, 14 Cathedral Road, Cardiff CF11 9LJ
Closing Date:- 16th December=20
Interviews:- Mid January 2006
=20
A vacancy has arisen within our analysis team for an enthusiastic =
graduate with an interest in the production and use of high quality =
health statistics. WCISU provide the cancer registration services for =
the Welsh Assembly which includes the analysis of data, interpretation =
of results and publication of reports on cancer incidence and mortality =
in Wales. The analysis team provides an information and request service =
as well as statistical collaboration for research and audit.
=20
You will have a degree in a numerical discipline such as statistics or =
mathematics. You will be highly motivated and keen to advance your =
career by developing a sound knowledge base and collaborating with =
others on publications and high quality reports. =20
=20
Previous work experience is not essential but you would ideally have had =
some exposure to statistical software. A solid understanding of basic =
statistical methods is necessary.
=20
Closing date for applications: 16 December 2005
For further details contact:
Mr Ceri White or Mrs Rachel Wade, Senior Statistical Analysts
Tel: 029 2037 3500
Email: [log in to unmask]
or [log in to unmask]
For an application form & job description please contact the HR =
Department, Velindre NHS Trust Headquarters, 2, Charnwood Court, Heol =
Billingsley, Parc Nantgarw, Cardiff, CF15 7QZ on 029 20316931.=20
=20
John Steward=20
=20
Dr J A Steward MBBCh BA MSc PhD FFPH
Director
Welsh Cancer Intelligence & Surveillance Unit
3rd Floor Rombourne House
14 Cathedral Road
Cardiff CF11 9LJ
=20
029 20373500 tel
029 20373511 fax
=20
=20
=========================================================================
Date: Fri, 25 Nov 2005 15:50:01 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Pricing Analyst =?ISO-8859-1?Q?=96_Pricing_Roles_=96?= work
for leading utility company
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear All,
One of Europe=92s leading utilities companies is seeking the expertise of a =
Statistician to join their optimization department. This is an exciting=20
opportunity to join this up and coming industry, much scope and=20
opportunity exists for career progression and good experience for those=20
looking for a future career in Investment Banking. Looking at the pricing=20
of policies you will build pricing models to predict and analyse energy=20
prices. Your role will also cover areas of risk and cost assessment to=20
ensure the company maintains an acceptable level of risk and exposure to=20
future market trends or anomalies.=20
The ideal candidate will have either 3 years experience working as a=20
Statistician for a similar utilities company or have graduated with an=20
MSc / PhD in a mathematical related discipline, although some commercial=20
experience will certainly benefit your application. You should be able to=20
apply a variety of Statistical Packages such as SAS, SPSS or S+ to perform=20
Statistical Techniques such as Linear Regression, Times Series Analysis,=20
Data Mining, Modelling or similar. Call today to arrange for an immediate=20
interview!
Location: West Yorkshire
Salary: to =A335k plus excellent bonus and benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9050/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=20
=========================================================================
Date: Fri, 25 Nov 2005 15:53:06 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Graduate Econometrician =?ISO-8859-1?Q?=96?= Apply your
Econometrics skills to Advertising
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear all,
Working for an award winning agency you will join the growing team of=20
econometricians and learn from some of the best in the industry. You will=20
work closely with clients on any number of projects. After performing=20
detailed analysis you will advise clients on how they should best spend=20
their advertising budget and where else their product / service can be=20
marketed. =20
You should be educated to degree level in Economics, Econometrics or=20
Statistics and have been awarded a Classification of a 2:1 or above. Those=20
candidates with at least a year=92s industry experience of applying=20
econometric techniques will have a distinct advantage. You should have a=20
thorough of the principles of econometrics and an understanding of=20
Econometric techniques such as E-Views, Mathematica, Maple, EasyReg or=20
MacANOVA. Additionally an understanding of Statistical Packages such as=20
SAS, SPSS, S+ or similar will be of interest to my client. Call today for=20
an immediate interview.
Location: London
Salary: =A319k
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9046/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Fri, 25 Nov 2005 16:03:36 +0000
Reply-To: Ingrid Harper <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ingrid Harper <[log in to unmask]>
Subject: Seminar : 7th December 2005
MIME-Version: 1.0
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The University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
SEMINAR
Ornstein-Uhlenbeck processes with jumps
D B Applebaum, University of Sheffield
Wednesday, 7th December 2005, 2pm
The Whittaker Room (211)
Abstract:
The original Ornstein-Uhlenbeck process was introduced in the 1930s as a
realistic model for the movement of particles executing Brownian motion,
which for the first time incorporated a viscous damping force. Later on
these processes were given a rigorous formulation as solutions of
stochastic differential equations driven by the Wiener process. We will
look at generalisations of such processes where the Wiener process is
replaced by a Levy process (i.e. a general process with independent and
stationary increments). The original motivation for this came from time
series, but there has recently been increased interest in such processes
due to their importance in (i) relations to generalised limit theorems and
self-decomposable distributions,(ii) applications to volatility modelling
in mathematical finance,(iii) solutions of stochastic partial differential
equations. I'll give a survey of these ideas with plenty of historical
motivation. No prior knowledge will be assumed of stochastic calculus or of
Levy processes.
Following the talk, tea and biscuits will be available in Room 304
ALL WELCOME
********************************************************
Ingrid Harper
University of Liverpool
Department of Mathematical Sciences
Division of Statistics and Probability
Mathematical Sciences Building
Peach Street
Liverpool L69 7ZL
Tel: 0151 794 4751
Fax: 0151 794 4754
********************************************************
=========================================================================
Date: Fri, 25 Nov 2005 17:26:21 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: FW: JOB: CONTRACT - SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
=20
CONTRACT - SAS Programmer
=20
Salary: circa EURO 80ph=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
Your responsibility is to run programs and output for data management
and biostatistics for validation of data, for statistical contributions
of integrated study reports and for other programming requests. The
contract will start ASAP for an initial period of 6 months, based within
an easy commute from Amsterdam and requires a candidate with 3 year+
experience of Programming in SAS within the clinical arena. There is a
strong possibility of contract renewal with this organisation.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to copy of your CV quoting the
reference 'grv-3523'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 25 Nov 2005 22:09:23 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Trevor Hodges <[log in to unmask]>
Subject: JOB: Insight Analyst vacancy
MIME-Version: 1.0
Content-Type: text/plain; charset="ISO-8859-1"
Content-Transfer-Encoding: quoted-printable
The position is within the Marketing Insight team whose role is to drive =0D=
=0Aprofitability from customer management by working pro-actively with the =0D=
=0Abusiness to deliver analytical business solutions ranging from strategic=
=20=0D=0Abusiness planning through to tactical campaign activity.=0D=0A=20=0D=
=0ATechnical Skills and Knowledge=0D=0A=20=0D=0ABase SAS skills required, E=
nterprise Miner preferred. Knowledge of data=20=0D=0Amodelling and data war=
ehouses a distinct advantage.=0D=0A=0D=0AEducation and Experience=0D=0A=0D=0A=
Graduate education (or equivalent) in Mathematics, Statistics, Operations =0D=
=0AResearch, or related discipline, preferably with a postgraduate=20=0D=0A=
qualification. Candidates with commercial experience of applying analytic =0D=
=0Asolutions will have a distinct advantage.=0D=0A=0D=0ALocation=0D=0A=0D=0A=
Bristol=0D=0A=0D=0ASalary=0D=0A=0D=0A=A320,000 - =A328,000 (depending on qu=
alifications and experience)=0D=0A=0D=0ACall and / or send your CV to: thod=
[log in to unmask], (M) 07966 610155=0D=0A=0D=0ATrevor Hodges=0D=0AInformation S=
ervices and Insight Manager=0D=0ARAC Marketing=0D=0A=0D=0A=0D=0A=0D=0Ahttp:=
//www.rac.co.uk=0D=0Ahttp://www.rac.co.uk/business=0D=0Ahttp://www.bsm.co.u=
k=0D=0A=0D=0AAny opinions expressed in this e-mail are those of the individ=
ual and not necessarily the company. This e-mail and any attachments are co=
nfidential to RAC and/or BSM and are solely for use by the intended recipie=
nt. =20=0D=0A=0D=0AIf you are not the intended recipient you must not discl=
ose, copy or distribute its contents to any other person nor use its conten=
ts in any way.=0D=0AIf you have received this e-mail in error please forwar=
d a copy of this e-mail to "[log in to unmask]".=0D=0A=0D=0ARAC Motoring Se=
rvices: Registered England 1424399=0D=0AVAT Reg No. GB 238640945=0D=0ABriti=
sh School of Motoring Limited: Registered England 291902=0D=0AVAT Reg No. G=
B 239505847=0D=0ARAC Financial Services Limited: Registered England & Wales=
5171817=0D=0AVAT Reg No. GB 238640945=0D=0ARegistered Office(s): 1 Forest =
Road, Feltham, TW 13 7RR=0D=0A=0D=0ARAC Motoring Services and RAC Financial=
Services Limited are authorised and regulated by the Financial Services Au=
thority, both companies are part of the RAC plc group of companies.=0D=0A=0D=
=0AThis e-mail and any attachments has been scanned for the presence of com=
puter viruses. RAC/BSM accept no responsibility for computer viruses once t=
his e-mail has been transmitted.=0D=0A
=========================================================================
Date: Sat, 26 Nov 2005 11:01:58 +0000
Reply-To: Gordon Taylor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gordon Taylor <[log in to unmask]>
Subject: Reminder: RSS Medical Section meeting (29th Nov): 'Statistics in
the post-genomic age'
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: quoted-printable
> ROYAL STATISTICAL SOCIETY MEDICAL SECTION
>
> Tuesday 29 November 2005 2.00-5.00 (tea at 3.10).
>
>
>
> To be held at the RSS, 12 Errol Street, London EC1Y 8LX
>
> (directions http://www.rss.org.uk/about/direction.html)
>
> Pre-registration is recommended - please email [log in to unmask]
> <mailto:[log in to unmask]> <mailto:[log in to unmask]> or tel. 020=20
> 7638 8998 to register.
>
>
>
> =91Statistics in the post-genomic age=92
>
>
> A half-day meeting of presentations
>
>
>
> 2.00 Wally Gilks. MRC Biostatistics Unit, Cambridge.
>
> 2.35 Heather J. Cordell, Department of Medical Genetics, University of=20
> Cambridge.
>
> 3.10 Tea
>
> 3.40 Sylvia Richardson, Imperial College, London.
>
> 4.20 Jenny Barrett, Division of Genetic Epidemiology, University of=20
> Leeds.
>
> 5.00 Close
>
>
>
> Titles and abstracts
>
>
> Statistical Bioinformatics: an overview.
>
> Wally Gilks. MRC Biostatistics Unit, Cambridge.
>
> The rapid expansion of DNA, protein, gene expression and other genomic=20
> databases has spawned the field of bioinformatics. Work in this field=20
> spans the development of databases and algorithms, and research in=20
> basic biology, genetics and medicine. I will briefly review the state=20
> of the art, focussing on current and potential areas of involvement of=20
> statisticians.
>
>
> Regression methods for SNP data in case/control and family studies.
>
> Heather J. Cordell, Department of Medical Genetics, University of=20
> Cambridge.
>
> Here I discuss methods of design and analysis of genetic association=20
> studies. There are many similarities between genetic association=20
> studies and classical epidemiological studies of environmental risk=20
> factors, but there are also issues specific to studies of genetic risk=20
> factors such as the use of certain family-based designs, accounting=20
> for different underlying genetic mechanisms and the impact of=20
> population history.
>
>
> Statistical analysis of gene expression data
>
> Sylvia Richardson, Imperial College, London.
>
> The powerful technology of cDNA or oligonucleotide microarray makes it=20
> possible to study simultaneously the expression of thousands of genes=20
> in different samples. To interpret and model this vast body of data=20
> poses interesting statistical challenges. Issues of signal extraction,=20
> normalisation and how to find groups of genes that are differentially=20
> expressed will be discussed. The flexibility and benefits of using a=20
> Bayesian hierarchical modelling framework to perform such analyses=20
> will be illustrated.
>
>
> Statistical issues in clinical proteomics
>
> Jenny Barrett, Division of Genetic Epidemiology, University of Leeds.
>
> Proteomics concerns the identification and characterisation of=20
> expressed proteins in an organism. The subject will be introduced,=20
> focusing on SELDI mass spectrometry profiles. Statistical issues in=20
> experimental design, pre-processing and peak detection will be=20
> discussed, before moving on to identification of differences between=20
> peak profiles in different sample groups. Methods will be illustrated=20
> with clinically-motivated examples.
>
>
=========================================================================
Date: Sat, 26 Nov 2005 16:42:27 +0100
Reply-To: "f.chebana" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "f.chebana" <[log in to unmask]>
Subject: unsubscribe
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Accédez au courrier électronique de La Poste : www.laposte.net =
=0A=0AAcc=E9dez au courrier =E9lectronique de La Poste : www.laposte.net =
; =0A3615 LAPOSTENET (0,34=80/mn) ; t=E9l : 08 92 68 13 50 (0,34=80/mn)=0A=
=0A
=========================================================================
Date: Sun, 27 Nov 2005 12:46:00 +0000
Reply-To: Jon Forster <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jon Forster <[log in to unmask]>
Subject: JOBS: Academic positions at Southampton
Mime-version: 1.0
Content-type: text/plain; charset="ISO-8859-1"
Content-transfer-encoding: quoted-printable
Your attention is drawn to the following advert. Both I
([log in to unmask]) and Phil Prescott (details below) are happy to
respond to any queries.
University of Southampton
-------------------------
Lecturer/Senior Lecturer/Reader in Statistics: two positions
=20
The University of Southampton seeks to make two appointments in the field o=
f
Statistics. The University is in the top ten of research-led universities i=
n
the UK for both research quality and research income. In the 2001 Research
Assessment Exercise, the Statistics unit of assessment at Southampton was
rated 5.=20
=20
Both positions are in the School of Mathematics, and the successful
applicants will also belong to Southampton Statistical Sciences Research
Institute. We seek people with a strong research background in any area
of Statistics.=20
=20
Salary will be on Lecturer Level 4/5 (=A324,886 - =A337,643 per annum) and Leve=
l
6 for Senior Lecturer/Reader (=A338,772 - =A348,795 per annum). The anticipate=
d
start date is 1 October 2006.
=20
Informal enquiries concerning this post are welcome and may be made to
Professor P Prescott, telephone +44 (0)23 8059 3690, email:
[log in to unmask]
=20
Further information is available from http://www.maths.soton.ac.uk
=20
Application information and further particulars may be obtained from
www.jobs.soton.ac.uk or by contacting the Human Resources Department (R),
University of Southampton, Highfield, Southampton, SO17 1BJ, UK. Tel: 02=
3
8059 2750, e-mail: [log in to unmask] The closing date for applications
is 9 January 2006. Please quote reference number 05F0306.
=========================================================================
Date: Mon, 28 Nov 2005 09:32:36 +0000
Reply-To: Gill Meadows <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gill Meadows <[log in to unmask]>
Subject: Labour Force Survey User Group Meeting
There are a few places remaining for the Labour Force Survey User Group
Meeting on Tuesday 6 December 2005. The meeting takes place at the Royal
Statistical Society in London and will provide a forum for the exchange of
information and views between users and producers of the Labour Force Survey.
To view the programme and book a place please go to
http://www.ccsr.ac.uk/esds/events/2005-12-06/
=========================================================================
Date: Mon, 28 Nov 2005 11:31:18 +0000
Reply-To: Stats Workshop <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stats Workshop <[log in to unmask]>
Subject: LASR 2006 - Interdisciplinary Statistics and Bioinformatics -
call for abstracts
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
LASR 2006
INTERDISCIPLINARY STATISTICS AND BIOINFORMATICS
25th LASR (Leeds Annual Statistical Research) Workshop
organized by the
Department of Statistics, University of Leeds, UK
Leeds, UK
4th - 6th July 2006
CALL FOR ABSTRACTS
The 25th Leeds Annual Statistical Research Workshop will focus on
developments in interdisciplinary statistics and in particular the
interface between statistical methodology and bioinformatics. The use
of image analysis, shape analysis and wavelets in bioinformatics and
other biological applications is an emerging theme which we strongly
encourage, so contributions at the interface between these disciplines
are particularly welcome.
Confirmed speakers at LASR-2005 include
Brian Athey (University of Michigan)
Julian Besag, FRS (University of Washington)
Clive Bowman (GlaxoSmithKline)
Fred Bookstein (Universities of Vienna, Seattle)
Sir David Cox, FRS (Nuffield College, Oxford)
Walter Gilks (MRC Biostatistics Unit, Cambridge)
Chris Glaseby (Biomathematics & Statistics Scotland)
Thomas Hamelryck (University of Copenhagen)
John Kent (University of Leeds)
Alf Linney (University College, London)
Kanti Mardia (University of Leeds)
Janet Thornton, FRS CBE (European Bioinformatics Institute)
David Westhead (University of Leeds)
ABSTRACTS OF CONTRIBUTED PAPERS AND POSTERS ARE NOW REQUESTED
THE DEADLINE FOR ABSTRACTS IS 31 JANUARY 2006
Abstracts should be one or two paragraphs in length, outlining the
work that you would like to present, with one or two key
references. Please indicate whether you would prefer to present your
work as a short talk or as a poster presentation.
If your abstract is accepted, we will invite you to submit an extended
abstract of up to four pages for inclusion in the workshop
proceedings. The deadline for extended abstracts is likely to be the
31st of May 2006.
BACKGROUND
The Leeds Annual Statistics Research Workshop is a well established
annual event now looking forward to its 25th year. The 25th LASR
workshop will be a special event, not only exploring new and
innovative statistical methods and applications in bioinformatics, but
also celebrating the history and achievements of the LASR series of
workshops.
The Workshop has become established over recent years as an exciting
international event in the Statistics conference calendar. Last year,
the workshop attracted approximately 80 participants, with eminent
speakers both from overseas and the UK. Details of previous workshops
can be found on our webpages:
http://www.maths.leeds.ac.uk/statistics/workshop/
As usual the workshop format is a mixture of invited and contributed
talks, and posters. It has a tradition of being informal and relaxed,
and of encouraging interaction and discussion between the
participants.
--
Dr Stuart Barber
Leeds Annual Statistical Research Workshops,
Department of Statistics, University of Leeds, Leeds LS2 9JT
web: http://www.maths.leeds.ac.uk/statistics/workshop
=========================================================================
Date: Mon, 28 Nov 2005 12:54:25 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: CONFERENCE: The role of non-researchers in research
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Content-Type: text/plain; charset="us-ascii"
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Message posted on behalf of the Social Research Association
You may be interested in attending the 2005 Social Research Association
(SRA) Annual conference in London on 7th December.
SOCIAL RESEARCH ASSOCIATION ANNUAL CONFERENCE 2005
Necessity or Nuisance? The role of non-researchers in research
What input can or should non-researchers have in social research? What
are the particular issues and examples of good practice when dealing
with peer interviewing? Can you have participatory research involving
children? How can researchers keep the recipients of the research on
board throughout the process?
These are just some of the issues that will be raised at this year's SRA
annual conference. The conference will be an opportunity to hear about
examples of good practice and lessons learned in involving
non-researchers in research.
There will be plenary and panel sessions with expert speakers who will
discuss the benefits and limits of participatory research, different
approaches, the reasons for and rewards of such an approach but they
will also critically discuss issues around professional knowledge,
inclusiveness and sustainability.
An impressive line-up of workshop speakers will also be delivering a
variety of presentations throughout the day, with the topics ranging
from research with people living in poverty, cancer patients and young
people, to presentations on keeping the community and policy makers
involved in a research project and getting the findings across.
If you would like to find out more about how to involve people in your
research in a way that does not just pay lip service but also be aware
of some of the issues and pitfalls around participatory research or if
you would like to hear more about involving and communicating with the
end users of your research, it is highly recommended that you attend
this conference.
The conference is being held on 7th December at Brunei Gallery, SOAS,
University of London, Thornhaugh Street, Russell Square, London WC1H
0XG.
You can find a map here: www.soas.ac.uk/gallery/findus.html
The SRA Annual General Meeting (10am) precedes the annual conference,
which will start at 11am.
You can book online using the booking form on the SRA website:
www.the-sra.org.uk/documents/word/booking_membership_form_annual_confere
nce_2005.doc
and emailing it to [log in to unmask]
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
> Join the Royal Statistical Society today. For more details go to
> http://www.rss.org.uk/join
>=20
>=20
=========================================================================
Date: Mon, 28 Nov 2005 13:00:59 +0000
Reply-To: mike roughton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: mike roughton <[log in to unmask]>
Subject: Sample size calculations for Kappa studies
Mime-Version: 1.0
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I am trying to find out how to calculate sample sizes for studies where the
primary endpoint is the Kappa measure of agreement. I have seen reference to
methods when the Kappa table will be a 2x2 table, but the study I am looking
at has greater than 2 classes for each of the methods being compared.
I would be very appreciative if anyone could provide me with any formulae or
point me in the direction of any publications which would help.
Many thanks in advance,
Michael Roughton MSc
=========================================================================
Date: Mon, 28 Nov 2005 09:30:36 -0600
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Seleshi Demissie <[log in to unmask]>
Subject: UNSUBSCRIBE
MIME-Version: 1.0
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_________________________________________________________________
Express yourself instantly with MSN Messenger! Download today it's FREE!=20
http://messenger.msn.click-url.com/go/onm00200471ave/direct/01/
###
This message is for the designated recipient only and may contain privilege=
d=
or confidential information. If you have received it in error, please =
notify the sender immediately and delete the original. Any other use of th=
e=
email by you is prohibited.
###
=========================================================================
Date: Mon, 28 Nov 2005 18:47:41 +0100
Reply-To: Vincenzo Esposito Vinzi <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
Comments: RFC822 error: <W> MESSAGE-ID field duplicated. Last occurrence
was retained.
From: Vincenzo Esposito Vinzi <[log in to unmask]>
Subject: CONFERENCE: KNEMO 2006 - Call for papers
Mime-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"; format=flowed
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We are very pleased to announce the:
International Workshop on Knowledge Extraction and Modeling (KNEMO'06)
September 4th-6th, 2006
Island of Capri (Italy)
(www.knemo.unina.it)
organised by
Department of Mathematics and Statistics of the=20
University of Naples =93Federico II=94 Italy
and jointly sponsored by:
IASC (International Association for Statistical Computing)
INTERFACE (Interface between Statistics and Computing)
IFCS (International Federation of Classification Societies)
The objective of the Workshop is to give an=20
overview on the theme of "Knowledge Extraction &=20
Modeling" with up-to-date lectures showing the=20
state-of-art but also the most recent advances=20
and future challenges. The Workshop is aimed at=20
focusing on a theme that is not yet firmly=20
established in literature or research. Namely,=20
the Workshop is meant to address the analysis of=20
"complex systems" where the difficulty of=20
analysis is not only the availability of huge=20
masses of data but also the complex structure of=20
relationships. It is somehow the problem of=20
extracting information from models, not just=20
data. The challenge consists in considering the=20
interaction between Knowledge Extraction and=20
Modeling by investigating two possible=20
directions: Knowledge Extraction from models, Knowledge Extraction by=
modeling.
The structure of the Workshop foresees key-note=20
speakers that can provide lectures on the theme=20
of interest from different points of view (data=20
analysis, machine learning, statistical modeling,=20
data mining etc.), discuss among them and with=20
the other attendees during the days of the=20
Workshop and then conclude the Workshop with a=20
round table where the results of the discussion=20
hold and the thinking done during the Workshop are expressed.
A group of scientists have been invited to=20
discuss on the theme of the Workshop during the=20
forthcoming months that preceed the beginning of=20
the Workshop. The idea is to collect all possible=20
opinions from the known international leaders in=20
the different fields of interest to the themes of=20
the Workshop and then produce a document that=20
will represent the Manifesto of the Workshop.=20
This Manifesto will comprise the leading thread=20
that shall give life to the presentations and=20
discussions held during the Workshop.
Among the scientists invited to the pre-Workshop=20
discussion and tentative invited speakers:
Tomas Aluja-Banet (Spain), Stan Azen (USA),=20
Helena Bacelar Nicolau (Portugal), Hans Bock=20
(Germany), Amy Braverman (USA), Hamparsum=20
Bozdogan (USA), Edwin Diday (France), Vincenzo=20
Esposito Vinzi (Italy), Wolfgang Haerdle=20
(Germany), David Hand (UK), Henk Kiers (The=20
Netherlands), Erricos Kontoghiorghes (Cyprus),=20
Carlo Lauro (Italy), Yves Lechevallier (France),=20
Alain Morineau (France), Alfredo Rizzi (Italy),=20
Michael Schimek (Austria), Roberta Siciliano=20
(Italy), Michel Tenenhaus (France), Rosanna Verde=20
(Italy), Maurizio Vichi (Italy), Giorgio Vittadini (Italy), Ed Wegman (USA)
Aside the key-note speakers, tutorials will be=20
ensured and, finally, research papers may be=20
submitted and presented by other scientists who=20
wish to contribute and do not necessarily come=20
from the field of Statistics (e.g. computer=20
science, machine learning, bioinformatics, etc.=20
with a background related also to application fields).
Prospective authors are invited to submit an=20
extended abstract (2 pages) of their paper to=20
Prof. Vincenzo Esposito Vinzi no later than March=20
24th, 2006. The contents of the abstract should=20
clearly contain the following information about the paper:
- Relationship with literature
- Original contributions with main formulas
- Methodological, computational and/or application relevance
- Main references
For more information:
Prof. Vincenzo Esposito Vinzi
Dipartimento di Matematica e Statistica
Facolt=E0 di Economia
Universit=E0 degli Studi di Napoli "Federico II"
Via Cintia, 26 - Complesso Monte Sant'Angelo
80126 Napoli - Italy
e-mail: [log in to unmask]
Web: www.knemo.unina.it =20
=========================================================================
Date: Tue, 29 Nov 2005 11:05:12 +0000
Reply-To: Michael Sweeting <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michael Sweeting <[log in to unmask]>
Subject: JOB: Career Development Fellow, MRC Biostatistics Unit, Cambridge
MIME-Version: 1.0
Content-Type: text/plain; charset=windows-1252; format=flowed
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*MRC Biostatistics Unit, Cambridge*
*http://www.mrc-bsu.cam.ac.uk*
* *
*Career Development Fellow*
=20
The MRC Biostatistics Unit aims to advance medical science by the=20
development of statistical methodology. It is one of Europe=92s leading=20
biostatistics research institutions and comprises a number of=20
internationally renowned statisticians.
=20
This is a 3 year training and development position for a post-doctoral=20
scientist who has either just completed their doctoral studies, or is=20
moving into a new research area.=20
=20
The focus of this post is to contribute to a programme of research at=20
the interface of public health and other jurisdictions =96 notably=20
criminal justice, injection drug use and infectious diseases. Particular=20
emphasis is on evaluation of criminal justice initiatives for=20
drug-dependent offenders; database linkage studies of transitions=20
between criminal justice, mental and physical health, infections and=20
addictions services; determinants of sentence variation; and evidence=20
synthesis for cost-effectiveness. The post-holder will join a research=20
group with strong analytical interests in the early and late sequelae of=20
injection drug use; and of human exposure to BSE.
=20
The starting salary will be in the range of =A324,746 - =A326,292 per ann=
um=20
(depending on qualifications and experience), supported by a flexible=20
pay and reward policy, 30 days annual holiday entitlement and an=20
optional final salary MRC pension scheme. Excellent sports and social=20
facilities are also available on site.
=20
Further details of the post are available from Kathy Airey,
Administrative Assistant (Tel: 01223 330376, Email:=20
[log in to unmask]). Potential candidates wishing to discuss=20
the position may do so by contacting Prof. Sheila Bird (Tel: 01223 330368=
,
Email: [log in to unmask]) at the Biostatistics Unit in the=20
first instance.
=20
*Applications should include a covering letter and a full CV with the=20
contact details of two academic or professional referees who can be=20
approached prior to interview.*
* *
*Quoting job reference BSU/1105/6 e-mail your application to:=20
[log in to unmask] or post to: Recruitment Office, Personnel=20
Department, MRC Centre, Hills Road, Cambridge, CB2 2QH.*
* *
*Closing date: 31 December 2005*
=========================================================================
Date: Tue, 29 Nov 2005 13:49:00 +0100
Reply-To: Cristian Gatu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Cristian Gatu <[log in to unmask]>
Subject: 12th Inter. Conference on Computing in Economics and Finance
MIME-Version: 1.0
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FIRST ANNOUNCEMENT SCE 2006 annual meeting:
The 12th International Conference on Computing in Economics and
Finance, of the Society of Computational Economics (SCE) will be held
from June 22-25, 2006 at the Amathus Beach Hotel, Limassol, Cyprus.
URL: http://www.csdassn.org/europe/cef06/
The Conference covers all areas dealing with the computational aspects
of economics, finance, and decision making. This includes (a) research
making significant use of computers; (b) the development of
computational techniques; and (c) the development of computational
environments.
Invited plenary lectures will be given by
o Kenneth L. Judd, Stanford University, USA
o Leigh Tesfatsion, Iowa State University, USA
o M. Hashem Pesaran, University of Cambridge, UK
Participants should submit an abstract (max 200 words) of full papers
before February 15, 2006, through Conference Maker, as indicated on
our conference website: http://www.csdassn.org/europe/cef06/
Decisions on acceptance will be sent by March 10, 2006.
Final papers should be made available by June 1, 2004.
Papers will be considered for publication in a special issue of the
Computational Economics and regular issues of the Journal of Applied
Econometrics and Journal of Economic Dynamics and Control.
Details concerning the conference, including instructions for
registration and hotel reservation, etc., can be found on the
conference website.
Submit your abstract now!
June is a busy time in Limassol, so please make hotel reservations
early. We blocked a number of rooms at hotels (see our conference
website) that must be booked (at a reduced rate) before May 1.
More details can be found in the web page of the conference:
http://www.csdassn.org/europe/cef06/
=========================================================================
Date: Tue, 29 Nov 2005 18:21:24 -0000
Reply-To: Editor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Editor <[log in to unmask]>
Subject: JOB statistical consultancy and research involving UK schools data
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
The Good Schools Guide is looking for a statistician to help them =
extract useful information from UK schools data.
We have access, under the Freedom of Information Act, to vast databases =
of examination results and related information. We need help in two =
areas:
Firstly, it is our aim to produce information about individual schools, =
to aid parents in asking the right questions when they come to consider =
a school for their children. If you look at our web site, =
www.goodschoolsguide.co.uk, and navigate to the page for any English =
state mainstream secondary school, you will see how far we have got to =
date. What we have done is useful, but we think we can do more, and do =
it better, with professional advice.
We would expect to undertake the majority of the data processing =
involved; we would be looking for your help in deciding what useful =
information could be extracted, and how it could best be displayed.
Secondly, we are interested in exploring the data to see what =
information can be gleaned from it about the performance of UK schools =
as a whole, or of subsections or aspects of them. This is something =
quite close to standard academic work, and we would expect that =
publishable papers would result from it (and, indeed, publicity of a =
more general sort, with which we would wish to be jointly involved).
This is a far from a full-time post, but there are few deadlines, and =
the work should be something which you can fit into the interstices of =
your life.
You will need to have or have access to your own hardware and software, =
and it will need to be good: - files are in the gigabyte range, will =
tens of millions of records, and there are lots of them.
Ralph Lucas
Editor
The Good Schools Guide
3 Craven Mews, London SW11 5PW
Email: [log in to unmask]
Tel: +44 (0)20 7801 0191
Fax: +44 (0)870 052 4067
www.goodschoolsguide.co.uk
=========================================================================
Date: Wed, 30 Nov 2005 17:57:00 +1100
Reply-To: Aylin Dulagil <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Aylin Dulagil <[log in to unmask]>
Subject: 2 JOBS: Biostatistician and Head,
Statistical Methodology - The George Institute of International
Health, Sydney Australia
Comments: cc: Mark Woodward <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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Biostatistician/Statistical Programmer
=20
* Highly regarded public health research institute
* Excellent career development opportunities
* CBD based
=20
=20
The George Institute for International Health is a non-profit
organisation dedicated to the prevention and management of
non-communicable diseases and injury worldwide. The George Institute is
made up of several divisions and programs, which oversee numerous
large-scale international and regional projects funded by a diverse
range of sponsors, both public and private.=20
=20
We require a Biostatistician / Statistical Programmer. Under the
direction of the Head, Statistical Services, you will have
responsibility for statistical design, programming, analysis and
reporting to support allocated research programs conducted by The George
Institute and George Medica Pty Ltd. You will ensure that all
activities are undertaken in accordance with current scientific and
regulatory requirements. =20
=20
Your key responsibilities will include:
* Providing expertise on statistical design, analysis and
reporting of research projects conducted at the institute
* Assisting in the evaluation of potential projects=20
* Presenting to prospective external collaborators and commercial
clients
* Ensuring the delivery of agreed statistical services to internal
clients
* Assisting in the development and maintenance of statistical SOPs
and standards according regulatory requirements
=20
You will have=20
* Minimum graduate qualifications in statistics and / or
programming=20
* Experience in statistical design, programming, analysis and
reporting for biomedical and or health research=20
* Excellent working knowledge of the common statistical software
packages (eg. SAS/SPSS).=20
* Working knowledge of regulatory requirements for clinical trials
and development programs
* Leadership potential
* Strong analytical skills=20
* The ability to work well within a team as well as independently
* Customer service focus - dedication to provision of quality
services
* Availability and willingness for occasional travel=20
=20
Applications close on 19 December 2005.
=20
To submit your application, please send your CV and covering letter to
[log in to unmask] . For further information please check our
website www.thegeorgeinstitute.org <http://www.thegeorgeinstitute.org/>
or call Aylin Dulagil on +61 2 9657 0306.
=20
=20
Head, Statistical Methodology
=20
* Develop in house statistical methodological expertise
* Innovative and highly regarded research institute
* Key consultative and advisory role
=20
=20
The George Institute for International Health is a non-profit
organisation dedicated to the prevention and management of
non-communicable diseases and injury worldwide. The George Institute is
made up of several divisions and programs, which oversee numerous
large-scale international and regional projects funded by a diverse
range of sponsors, both public and private.
=20
The Epidemiological and Biostatistics Division provides leadership
within The George Institute in a range of epidemiological studies and
clinical trials. The innovative nature of our research regularly throws
up statistical questions that established procedures cannot resolve. In
order to maintain the excellence of our research output, we have created
a new research post.=20
=20
We require an experienced academic statistician with knowledge of modern
and emerging statistical techniques to strengthen and develop expertise
in statistical methodology within The George Institute.=20
=20
You will consult with colleagues to develop appropriate statistical
techniques for epidemiological and clinical trials research, ensuring
the use of relevant, reliable and contemporary statistical analyses. As
part of your role you will raise The George Institute's capacity
building profile by providing statistical expertise leadership for
internal doctoral students and external researchers.=20
=20
You will have a PhD in statistics plus knowledge and refereed
publications in some of the following areas: Bayesian Monte-Carlo
simulation, longitudinal data analysis, missing value imputation, and
multi-level modelling. You have good communication and relationship
building skills and demonstrated experience in consulting with senior
researchers and sharing your technical expertise with internal clients
and fellow statisticians. You have a track record in attracting research
funding grants.=20
=20
Applications close on Monday 19 December 2005 and it is envisaged that
interviews will take place in January 2006.
=20
To submit your application, please send your resume and cover letter
outlining your suitability to [log in to unmask] . For further
information please check our website www.thegeorgeinstitute.org
<http://www.thegeorgeinstitute.org/> or call Aylin Dulagil on +61 2
9657 0306.
=20
=20
=20
=========================================================================
Date: Wed, 30 Nov 2005 09:22:38 +0000
Reply-To: "G.S.Clarke" <[log in to unmask]>
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<[log in to unmask]>
From: "G.S.Clarke" <[log in to unmask]>
Organization: University of Wales, Bangor
Subject: LONG: COMPILED REPLIES FROM LIST: to questions on Analysis of
subgroups, Analysis of Ranked/Likert data
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Dear All,
sorry for the long e-mail: several people asked me to distribute the=20
answers I received to my three questions, these are given below.
Many thanks to all who took the time to give me assistance with these=20
matters.
Regards
Graham
QUESTION 1.
I have a data set to analyse regarding a range of professionals'=20
response to a questionnaire. I have done PCA on all the results and=20
then follow up investigation to see which professional groups differ=20
from other professional groups with respect to the derived components.
However in looking to publish the results it is clear that some journals=20
would be more interested in a subset of those professional groups. So=20
how to proceed? I could use the PCs as derived from all the=20
questionnaires to generate 'scores' for all individuals which I then=20
analyse for the sub set of professions; or I could generate PCs derived=20
only from individuals belonging to the sub set of professions and=20
analyse those (these PCs are similar but not identical).
In doing further (effectively post-hoc) analysis on all the professions=20
my subset professions are often placed in different 'homogeneous groups'=20
however when I simply work with the sub set of professions then the=20
analysis more frequently says that these subset professions belong to=20
one 'homogeneous group' (presumably because of the reduction in overall=20
sample size is reducing power). (One of my sub set professions has only=20
8 members compared to ~50, ~100 in the other two sub set professions;=20
the overall - all professions - sample size is about 1200.)
So really, my question how to proceed with analysing the sub-set of=20
professions. What is the more effective/rigorous analysis in terms of=20
statistics and also in terms of what editors of journals may accept.
Any advice/opinion/references would be welcomed
REPLIES:
(a) what is wrong with you deciding the appropriate analysis, not the=20
'journal'? [but take advice from their peer reviewers of course] And=20
discuss with a statistician face to face =96 more productive for initial=20
consultations.
And what is wrong with publishing the results for each subset,=20
indicating that the data was not collected for such a comparison?? [the=20
fact that each individual profession is 'homogeneous' is of some=20
interest, even if the information is indicative only and not=20
'statistically significant' - and ideally you should compare/contrast=20
with whether that is what would be expected from underlying theory or=20
other evidence]
I suggest that you first consider how to plot/display the data both=20
overall, and for each subgroup - "a picture is worth a thousand words" -=20
ideally in a format that allows you to identify any outliers [as these=20
will have strong effects particularly on v small samples]
You can then consider reporting the differences, whether these are=20
statistically significant or not at the 5% level, stating what test you=20
have used. And if your sample size is really too small for that, then=20
simply say so [or gather a larger sample]. For statistical purposes=20
though, it is generally considered that a sample subgroup size of 8 is v=20
small for statistical testing, so you'll want to use a robust test.
There are several possible hypothesis [and thus tests] eg whether all=20
groups are the same, pairwise tests between groups, whether particular=20
groups have higher average scores than the 'general' population, whether=20
the variance within each profession is the same etc. Hard to assess what=20
the appropriate tests are [and/or whether these should be based on your=20
PCA scores or on the underlying data] without knowledge of the data=20
collection and results thus far.
[When considering making comparisons between a particular group and the=20
'overall average' you may wish to consider if your sample is=20
'representative' of the population in terms of the mix of those in each=20
profession, and apply re-weighting as needed]
'Practical Non-parametric Statistics' [W.Conover] has various test that=20
are more robust in the sense of not making parametric assumptions - any=20
book on non-parametric statistics will cover some. There are lots of=20
tests in '100 Statistical tests' [G Kanji] which may also help. The=20
other ways to be more 'robust' is to test at the 1% level rather than=20
the 5% level.
Another important point is that as part of the usual scientific method,=20
you shouldn't really use the same data to both form the hypothesis and=20
test the hypothesis. You can use the whole data set only if your=20
hypothesis is derived from some other source [underlying theory, other=20
previous evidence etc]. Otherwise you need to split your data in half in=20
some way [random selection ideally], work out the hypothesis/hypotheses=20
from 1/2 the data then test these using the other 1/2
On your point on length, maybe the solution is to draft a full paper on=20
the complete findings and put it on [your?] a website, and in your=20
journal articles mention the context/key findings in the opening=20
paragraph or two as context, and provide a web reference for those who=20
want to see the complete analysis. If the full results are interesting=20
that provides access for those interested, whilst dealing with journal=20
article length issues
QUESTION 2
In terms of ranking type data, simpler type analyses can be carried out=20
'non parametrically' using techniques found in texts like siegal and=20
castalan. However I was wondering how to approach analyses that - had=20
the data being normal etc. you would use a multiple regression/factorial=20
ANOVA . Any advice on this would be welcome as would any recommendations=20
for any text I could read that would give me info on this (I do have a=20
maths degree, but it is a bit 'rusty' so application rather than theory=20
would be preferred).
REPLIES:
(a) it would be worth having a look at Brunner, Domhof and Langer,=20
Nonparametric Analysis of Longitudinal Data in Factorial Experiments,=20
Wiley 2002 and also at the following:
1. Akritas MG, Arnold SF, Brunner E. Nonparametric hypotheses and rank=20
statistics for unbalanced factorial designs. Journal of the American=20
Statistical Association 1997;92(437):258-265.
and other papers by Akritas and Brunner as well as
2. Koch GG, Tangen CM, Jung JW, Amara IA. Issues for covariance analysis=20
of dichotomous and ordered categorical data from randomized clinical=20
trials and non- parametric strategies for addressing them. Statistics in=20
Medicine 1998;17(15-16):1863-1892.
3. Koch GG, Tangen C, Tudor G, Stokes ME. Strategies and Issues for the=20
Analysis of Ordered Categorical- Data from Multifactor Studies in=20
Industry - Discussion. Technometrics 1990;32(2):137-149.
and
4. Lesaffre E, Senn S. A note on non-parametric ANCOVA for covariate=20
adjustment in randomized clinical trials. Statistics in Medicine=20
2003;22(23):3583-3596.
for a correction to 2
QUESTION 3:
I have data, based upon a 5 point likert scale that I wish to analyse in=20
a manner akin to that of factorial ANOVA (actually that is ANCOVA) I=20
have a number of dichotomous independent variables and one co-variate=20
and I would like to know to what degree they influence the likert results.
How 'dangerous' is it to drop the likert data into a standard ANCOVA? If=20
it is 'possible' are there diagnostics to check that it has worked? or=20
is it just a really bad idea?
(a) if you're willing to accept that a unit change along the Likert=20
scale means roughly the same thing wherever you are positioned along the=20
scale, then an ANCOVA is a good option, equivalently fitted as a linear=20
regression. An assumption is that the errors are normally distributed in=20
the population; so you could check how consistent the residuals are with=20
a normal distribution. Secondly you could check another assumption, that=20
the variability of these residuals is constant across the range of the=20
predicted values from the model. If those are without problem, then you=20
might check that the assumed linear relationship between the Likert=20
outcome and the continuous covariate is not an other-than-linear=20
systematic relationship. If the sample size is pretty small, perhaps <20=20
then you may question whether you have enough data to reliably estimate=20
all of those paramters. You might also question the assumption of=20
normality, which is hard to check in small samples.
If assumptions are not met, or sample size is too small to allow them to=20
be assessed, one next option to consider might be dichotomising the=20
outcome variable and using logistic regression; provided this is=20
acceptable thing to do from an interpretation point of view, and if you=20
are not losing too much information by doing this; which you could=20
assess from the distribution of the Likert outcome (e.g. if distribution=20
is pretty much zero/redundant at either end of the scale and only two or=20
three of the outcome values are predominant). Another option may be to=20
use non-parametric methods between each independent variable in turn and=20
the Likert outcome (e.g. Chi-squared test for trend or Spearman=20
correlation coefficient) and if none or only one is significant to stop=20
there without need for a model with multiple predictors. Ordinal=20
response models are also available which I think you could find in a=20
stats journal article from a few years ago with M Campbell as a=20
co-author: Lall R, Campbell MJ, Walters SJ, Morgan K. A review of
ordinal regression models applied on health-related quality of life=20
assessments. Stat Methods Med Res. 2002 Feb;11(1):49-67.
(b) Usually not a terrible idea. However, if you have a five point scale=20
you might consider using a proportional odds (logistic regression for=20
categorical data) model. This is an extension of generalised linear=20
models and gives you the flexibility of incorporating factors and=20
covariates while respecting the ordinal nature of the data.
Run the analysis and look at the residuals. If they are distributed=20
unimodally and symmetrically, then the parametric procedure will give=20
fairly accurate results.
(c) I worry about this a lot. I haven't come across much in the way of=20
detailed exploration of the dangers of analysing Likert-scale data as=20
though it were interval data. A starting point (but also possibly the=20
existing terminus) is given in the following (flawed?) papers:
Rasmussen, J.L. (1989) Analysis of Likert-scale data: a=20
re-interpretation of Gregoire & Driver, Psych. Bull. 105(1) 167-170.
Grigoire, T.G. (1989) Analysis of Likert-scale data revisited. Psych.=20
Bull. 105(1), 171.
Gregoire, T.G. & Driver, B.L. (1987) Analysis of ordinal data to detect=20
population differences. Psych. Bull. 101(1) 159-165.
I haven't chased this for a couple of years. Obviously there are=20
alternatives, e.g. proportional odds/cumulative logit models, which can=20
prove more satisfactory in some situations. A clear difficulty for, for=20
example, paired t-tests for Likert-scale data, is that there does not=20
seem an obvious and simple chance mechanism to provide the null.
(d) First, the term "likert" can be traced to people naming stuff after=20
Rensis Likert, so it is a proper name. Even within psychological=20
disciplines there appear to be ding-dong debates on what qualifies as a=20
Likert scale, some views being much narrower than others. If you are=20
using the term as a label for an ordered categorical scale with integer=20
grades, then that is broader than many interpretations, and, also more=20
importantly, not a term that will be universally understood within=20
statistical sciences.
I don't have a strong feeling for what "danger" might mean here. A good=20
analysis for data of the form I think you have might well be an ordered=20
logit model. That said, I suspect that if you throw the data, as is,=20
into an ANCOVA, the scientific conclusions might well be very similar.
The best strategy in cases like this is often to try different methods=20
and see how much difference that makes. Otherwise you get into rather=20
anguished debates about what is valid and invalid, which often turn out=20
to be based on personal preferences and prejudices.
(e) There are ways to take ordinal scores and transform them into linear=20
measurement, given certain assumptions. If you key in Rasch into=20
MEDLINE, you will find 600+ articles using this methodology. The Rasch=20
model is a probabilistic model which operationalises the axioms of=20
additive conjoint measurement. Thus if the data from your scale meets=20
the model expectations, then a logit transformation provides you with a=20
metric which can be used in ANOVA and ANCOVA's, and the like, given=20
appropriate distributional properties. The 'assumptions' are that the=20
data meet model expectations,which includes unidimensionality to give a=20
valid summed score (Actually this still is required for ordinal data and=20
you can use Mokken scaling to test if you have achieved ordinal=20
Measurement).
However, if you have just a single Likert-style variable (and this was=20
not entirely clear in your message), then there is not much that can be=20
done with this approach, although the MEDLINE articles will provide you=20
with sufficient empirical evidence to show that all such items are=20
ordinal in nature. Faced with that situation I might try ordinal=20
regression, or collapse to use a binary logistic regression.
(f) You may or may not be aware that, in ordinary linear model analysis=20
such as would be used for an outcome measure on a continuous scale,=20
ANOVA and regression analysis are essentially the same, in that they=20
have the same form of underlying model, but the latter is used where the=20
explanatory variables are not designed-in in a balanced way. ANCOVA is=20
the most general case, where there are some design factors and some=20
non-design that need to be adjusted for. But wherever there is=20
imbalance and potential confounding or interaction between factors=20
(effect modification), the interpretation of results is likely to be=20
much more complicated than in the designed-experiment ANOVA case, and if=20
that's your situation you would be wise to involve an experienced=20
statistician.
The extent to which treating Likert-scale variables as if they were=20
continuous will give you misleading answers will depend on how many=20
categories are actually used, and how the responses are distributed=20
across the categories. In many cases, a linear approach will give=20
decent approximations. The standard diagnostic plots, e.g. residual v=20
fitted, may give some insight into the model fit.
Since you asked for help on "non-parametric" ANOVA, you may get a lot of=20
stuff that's not particularly relevant to your case. I think what you=20
need is the ability to use regression techniques on an ordered=20
categorical response, which is what Likert scales are. Probably the most=20
widely used now is that of McCullagh (see McCullagh and Nelder,
Generalized Linear Models), which I have found very useful. In=20
psychology, models originated by Rasch have been used for some time.=20
Obviously, you'll need access to software that can fit your chosen=20
model, but proper statistical packages should have no trouble with this.=20
Again, if you haven't used this kind of model I'd advise getting expert
help.
(g) This is something that routinely comes up here and I'd like to see=20
what the other Allstatters think. Personally I believe it to be a bad=20
idea unless your Likert scale fits the Rasch model and can be=20
demonstrated to act like a truly interval scale instrument. If there are=20
not equal distances between points on the scale, then I for one would=20
not be happy to trust the results of the AN(C)OVA.
--=20
Dr G.S.Clarke
Lecturer in Physiology & Biometry
Faculty of Health Studies
University of Wales, Bangor
Fron Heulog
Ffriddoedd Road
Bangor
Gwynedd LL57 2EF
Tel: 01248 383157
e-mail: [log in to unmask]
=========================================================================
Date: Wed, 30 Nov 2005 09:51:20 +0000
Reply-To: Peter Watson <[log in to unmask]>
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From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: CAMBRIDGE STATISTICS DISCUSSION GROUP MEETS TONIGHT
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REMINDER OF TONIGHT'S MEETING:
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Wednesday 30th November 2005 7:15 for 7:45
Statistical Laboratory,
Centre for Mathematical Sciences,
Wilberforce Road
Cambridge
Design of experiments and analysis of data
concerning GM crops
Joe Perry, Suzanne Clark Peter Rothery
Rothamstead Research, Centre for Ecology & Hydrology,
Harpenden, Herts Monks Wood
Abstract:
My research on GM crops has largely involved collaboration on the design an=
d=20
analysis of the UK Farm Scale Evaluations of genetically modified=20
herbicide-tolerant (GMHT) crops. Results concerning the effects of herbici=
de=20
management practices on farmland wildlife for three spring-sown crops (beet=
,=20
spring oilseed rape and maize) were published in autumn 2003 and spring 200=
4;=20
results from the fourth crop, winter oilseed rape, were published sometime =
in=20
March 2005. A brief summary will be given of the results published to date=
=2E
Some other GM work will be summarised. Simple mathematical models can be=
=20
used to show how the adverse effects of GMHT systems on the wildlife in sug=
ar=20
beet crops might be mitigated. Another study involved mathematical modelli=
ng=20
of relevance to the issue of coexistence between GM crops and organic or=20
conventional crops; this estimated the land available for planting and how=
=20
this may be affected by the separation distances proposed between GM and ot=
her
crops. Other modelling involves gene flow and demonstrates how decisions=
on=20
separation distances may be critically dependent on assumptions made for=20
long-distance gene flow. Further work is ongoing with Marie Castellazzi=20
(Rothamsted Research) within a 42-partner EU-funded project entitled=20
SIGMEA, in which gene flow models developed in France are to be upscaled to=
=20
the landscape level. A short description will be given of our work in this=
=20
project, to design a landscape simulator.
Speaker:
Joe Perry has worked at Rothamsted Research for twenty-nine years, research=
ing=20
quantitative methods applied to ecology. He spent 16 years in the Statisti=
cs=20
Department, and moved to his current Division, of Plant & Invertebrate Ecol=
ogy
in 1993. For many years he has researched methods of detecting spatial=
=20
pattern, and his SADIE system is used increasingly to measure clusters in t=
he=20
form of patches and gaps in abundance and to quantify spatial association.
He was awarded a DSc degree by the University of Reading in 1989 and since=
=20
1994 he has been Visiting Professor of Biometry at the University of Greenw=
ich.
He is currently President of the British Region of the International=20
Biometric Society.
His work on GM began in 1999 when he teamed up with Peter Rothery and=20
Suzanne Clark as part of the Consortium formed to undertake the UK=92s Farm=
=20
Scale Evaluations (FSE) of Genetically Modified Herbicide-Tolerant crops.=
=20
The FSE studied the effect of herbicide tolerant systems of management on=
=20
farmland wildfile. They became the biggest study of the environmental impa=
ct=20
of GM crops conducted anywhere in the world and represented the only time t=
hat
scientists have evaluated the environmental impact of a new farming pract=
ice=20
in the UK before its introduction. When not at work Joe enjoys singing and=
=20
playing cricket.
Directions:=20
The main entrance is reached from Clarkson Road by going along the=20
footpath to the right of the Newton Institute, and turning left through the
gatehouse towards the main building (Pavilion A), which has a glass front a=
nd
a curved grassed roof. The main entrance is in the middle of the glass=20
front. Coffee before the talk will be in the common room in Pavilion D,=20
and the talk will be in Meeting Room 5 in Pavilion A. Free Parking is=20
available after 5pm on Clarkson and Wilberforce Roads.
Next Meetings (2006):=20
1st February - Stephen Duffy (Cancer Research UK) on 'Some issues of=20
evaluation in mammographic screening'.
13th March - Ian White (Biostatistics) on 'Analysing imperfect randomised=
=20
trials'.
3rd April - Rebecca Turner (Biostatistics).
4th May - Adam Kleczkowski (Plant Sciences).
Supper: Some members eat regularly in the University Centre before
each talk meeting in the downstairs bar at 6pm. Feel free to join them.
Subscriptions: of 4 pounds per attender are now due for the 2005-2006 sessi=
on.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit,=20
15 Chaucer Road, Cambridge CB2 2EF;telephone 01223 355294 Extension 801;=20
E-mail [log in to unmask]
---559023410-1804928587-1133344280=:10093--
=========================================================================
Date: Wed, 30 Nov 2005 12:25:38 -0000
Reply-To: Zoe Bennett <[log in to unmask]>
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<[log in to unmask]>
From: Zoe Bennett <[log in to unmask]>
Subject: Statistics Contract, Pharma company
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Dear All,=20
=20
Please do contact me if you would be interested in this excellent
opportunity to contract at a Pharmaceutical Giant:-
=20
Statistician, 12 month contract.
=20
The role will include the following:-
=20
Statistical input for new protocols.
Study design review
Review of CRF's and protocol violations
Data Analysis for cynical study report
Creation of biometric text
Liaison with programmers, writers, data management and all statistics.
=20
You should have good knowledge of SAS, and be willing to work on a 12
month contract.
=20
Please do contact me for a full spec and more details about the company
and location.
=20
Best Regards
Zoe Bennett
Head of Pharmaceutical Division=20
zoe.bennett@bluepelicanpharma
BLUE PELICAN PHARMA=20
Tel: +44 (0)1580 201616
Fax: +44 (0)1580 202000
http://www.bluepelicangroup.com/
Pelican House, Gibbs Reed Farm,
Ticehurst, East Sussex TN5 7HE
=20
Blue Pelican Group provide a professional and ethical recruitment
service. It is our policy not to
distribute any candidate information without prior consent from the
candidate.
All information in this email transmission, including financial and
numerical information, is strictly private and=20
confidential, and subject to change, correction and completion. If you
have received this email in error, please notify the sender and delete
the email and all attachments immediately. This email (including any
attachments) may contain confidential or privileged information or both.
If you are not the intended recipient, any reliance on, use, disclosure,
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We have checked for viruses, but the contents of an attachment may still
contain software viruses which could damage your computer system. We do
not accept liability for any damage you sustain as a result of a virus
introduced by this email or any attachment, and you are advised to use
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transmission to be secure or error free.
Blue Pelican Group reserves the right to monitor emails in accordance
with the Lawful Business Practice Regulations and the Data Protection
Act. Senders of messages shall be taken to consent to the monitoring and
recording of emails addressed to our employees.
=20
=========================================================================
Date: Wed, 30 Nov 2005 12:58:39 -0000
Reply-To: David Millar <[log in to unmask]>
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<[log in to unmask]>
From: David Millar <[log in to unmask]>
Subject: finite population correction
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Dear All
=20
I have a population of 200 clusters accounting for 3000 individuals. I
know the intra-class correlation is comparatively high (say .4 as
measured using McNemar's 1957 formula) from earlier research sampling 50
of the clusters. Now, if I were to conduct a census of all 3000
individuals in all 200 clusters what would be the effective sample size?
If I use Kish's formula for the design effect (Design effect =3D [1 + =
roh
(B - 1)]) I estimate a design effect of 6.6 and an effective sample of
455.
=20
But here's my question - Do I have to factor in some sort of finite
population correction in the design effect calculation in the same way I
would when calculating a SE? Clearly in this case, if I were to sample
everybody, the SEs would be zero.
=20
Regards
=20
David Millar
ERC
Dublin
=========================================================================
Date: Wed, 30 Nov 2005 12:51:44 -0000
Reply-To: David Millar <[log in to unmask]>
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<[log in to unmask]>
From: David Millar <[log in to unmask]>
Subject: finite population correction
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Dear All
I have a population of 200 clusters accounting for 3000 individuals. I =
know the intra-class correlation is comparatively high (say .4 as =
measured using McNemar's 1957 formula) from earlier research sampling 50 =
of the clusters. Now, if I were to conduct a census of all 3000 =
individuals in all 200 clusters what would be the effective sample size? =
If I use Kish's formula for the design effect (Design effect =3D [1 + =
roh (B - 1)]) I estimate a design effect of 6.6 and an effective sample =
of 455.
But here's my question - Do I have to factor in some sort of finite =
population correction in the design effect calculation in the same way I =
would when calculating a SE? Clearly in this case, if I were to sample =
everybody, the SEs would be zero.
Regards
David Millar
ERC
Dublin
=========================================================================
Date: Wed, 30 Nov 2005 14:26:20 -0000
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: BIOSTATISTICIAN REQUIRED, 3+ YEARS EXPERIENCE,
LONG TERM CONTRACT
MIME-Version: 1.0
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Dear Allstatters
CK Clinical are currently handling a vacancy with a global pharma, this =
site focussing on early phase development. Please call me on 01438 =
743047 for a confidential discussion or send your CV to =
[log in to unmask]
=20
Contract Biostatistician
South East
=A335-=A355/hour dependent on experience
PURPOSE AND MAJOR CHALLENGE OF JOB
* To provide statistical support and advice to Study Teams
* To provide peer review and statistical support to colleagues
* To collaborate with PK and other groups to the benefit of =
Experimental Medicine
REPORTING SYSTEM
* Biostatistician will report to the Associate Director Biostatistics, =
BCI
PRIMARY DUTIES AND RESPONSIBILITIES
* Providing statistical input (protocol development, e-CRF review, SAP, =
database review, production of DV's, KSR, MSR, FSR and CSR review) as =
Statistician representative to Project Teams
* Performing statistical analysis
* Maintaining and archiving appropriate study documentation
* Performing peer review of statistical outputs e.g. SAP, CSR
* Providing presentations and support to colleagues
* Supporting the induction of new staff
* Communicating statistical methodologies and processes to achieve =
Experimental Medicine goals
* Setting high standards through personal achievement and communication
* Adhering to Credo values and supporting BCI goals and objectives
I look forward to your response.
Kind regards
Helena
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please note I work from home on Wednesdays - you can reach me on mobile =
number
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Wed, 30 Nov 2005 15:47:33 +0000
Reply-To: John Logsdon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Logsdon <[log in to unmask]>
Subject: ANNOUNCE RSS Manchester Local Group Meeting
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
Just a reminder of the meeting next week:
December 7th 2005 at MMU Room E34, John Dalton Building (opp BBC), 4.30pm
for 5.00pm
Note the change from the usual room
SHIRLEY COLEMAN (ISRU, Newcastle University)
"Tales from fault hunting"
Much consultancy in industry is about hunting for faults and causes.
Sometimes the evidence is clear - increase in waste, staff malaise. But
there are layers to unravel before confirming such conclusions and we need
to apply statistical tools and techniques to analyse and investigate. We
describe some recent projects and how we meet the challenge of keeping up
to date.
The European Network for Business and Industrial Statistics (ENBIS) is
full of fault hunters and being part of it is very helpful. The talk will
describe some recent projects and outline ENBIS.
John Logsdon "Try to make things as simple
Quantex Research Ltd, Manchester UK as possible but not simpler"
[log in to unmask] [log in to unmask]
+44(0)161 445 4951/G:+44(0)7717758675 www.quantex-research.com
=========================================================================
Date: Wed, 30 Nov 2005 12:26:22 -0500
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Job: Fraud Statistician
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
Software engineer, statistician or senior analyst needed to automatically
investigate Google and Yahoo clicks from multi-million PPC advertisers.
Experience with scoring technology, tree forests, web robots and boosted
trees required. Perl, Java, C#, C++, SQL and especially deep knowledge of
HTTP highly desirable. Typical job interview questions would be:
- Why would a paid click going through a 302 redirect get lost in an
internet blackhole and does not show up in advertiser server logs, or why
does it show up but the tags got lost somewhere in the blackhole?
- How to prevent the above problem from happening?
- What kind of problems have you had when processing a single file that
contains 100 million rows (e.g. when sorting the file)? How did you overcome
the problems?
- How do you recognize, by looking at an advertiser server logs, that a
click is from a Google distribution partner, and is a paid (not organic)
click?
- Much of AOL web traffic (search.aol.com) goes into the blackhole -- from
an advertiser viewpoint. Why is this happening and how to fix this?
Engineers with data mining background, from LowerMyBills, Amazon.com, AOL,
MSN, Ebay, PayPal, Fair Isaac, Visa/fraud detection or similar companies are
encouraged to apply.
The position is with Data Shaping Solutions (http://www.datashaping.com ) -
a startup company that has been profitable for over 2 years without VC or
seed funding. No phone calls.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
=========================================================================
Date: Wed, 30 Nov 2005 19:29:34 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB:Quantitative Account Director =?ISO-8859-1?Q?=96?= Media /
Marketing
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear All,=20
My client an award winning market research agency is seeking the expertise=20
of a Quantitative Director. Working with global blue chip clients your=20
role will be both diverse and challenging. There are many functions to=20
this role for example key aspects will include the management and handling=20
of key client accounts. Therefore, you should have had some experience of=20
dealing with a range of clients either in the UK or internationally and be=20
able to demonstrate your excellent client handling capabilities.=20
Secondly you will take responsibility for the financial management of each=20
client=92s accounts. For those clients who are not performing well, you will=
=20
be expected to come up with appropriate solutions and strategies to help=20
improve their profits. Whilst ensuring existing clients are kept happy,=20
you will also show your ability to put together creative proposals in=20
order to generate new client interest.=20
As Director of this department you will show compassion and interest for=20
junior members of the team becoming both a coach and mentor to them and=20
ensuring they are meeting personal objectives in addition to the=20
company=92s. As such you should have an understanding of statistical=20
techniques such as Clustering, Multivariate Analysis, Regression,=20
Correlation & Correspondence Analysis in order to offer advice to more=20
junior team members. Experience of using tools such as ATP, Link and=20
BrandDynamics will certainly be of benefit to your application.=20
Location: Midlands
Salary: =A355k plus benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9059/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=========================================================================
Date: Wed, 30 Nov 2005 19:30:21 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB:Senior Statistics Manager
MIME-Version: 1.0
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=ISO-8859-1
Dear All, =20
A Senior Statistical Consultant is required by our world renowned global=20
client. Your role will be to supervise other more junior members of the=20
team in undertaking their analysis and consultancy work. You will conduct=20
some of the research yourself and come up with new and innovative ways of=20
producing analysis. You will work closely with clients so an enthusiastic=20
and vibrant personality is essential for this role to provide valuable and=20
expert consultation.=20
You will be expected to keep up to date with all new methodologies and=20
communicate new ideas to colleagues and clients. You will need to=20
understand a broad range of Statistical Techniques and be confident about=20
explaining these types of analysis to junior team members.=20
The types of Statistical Techniques that will add value to your=20
application are Clustering, Correlation, Regression, Multivariate Analysis=20
and Correspondence Analysis. As such experience of using Statistical=20
Software Packages such as; SAS, SPSS, S+, S# or similar will certainly be=20
of interest to my client. You will be a main point of contact for most of=20
the department so you must have good problem solving and interpersonal=20
skills. Ideally you will have had 5 years statistical experience=20
preferably in a marketing or consultancy company coupled with some sort of=20
exposure to team management.=20
Location: Midlands
Salary: Package to =A340k plus benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9058/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987=20
=20
=========================================================================
Date: Thu, 1 Dec 2005 08:04:54 -0000
Reply-To: Fen Scott <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Courses: Excel PivotTables, PivotCharts and VBA
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
Dear Allstat.
IntrepiData has released its January - April 2006 Excel training course
calendar. Dates, venues and details can be found by visiting
www.intrepidata.co.uk for the list of courses shown below:
Data Analysis using Excel PivotTable Reports, 1 day.
Charting Data with Excel PivotChart Reports, 1 day.
Introduction to Excel VBA, 2 days.
Creating Automatic Systems with Excel VBA, 5 days.
Analysis of Pupil Attainment Data using Excel PivotTable Reports, 1 day.
Excel VBA for School Data, 2 days.
Discounts are available for group bookings of 2 or more delegates.
Special Offer: Any 2006 course deliveries booked by 16th December 2005
will qualify for a 10% discount on the normal course price. Please quote
this offer when booking onto any of the courses.
For more information, or to book onto any of the courses, please do not
hesitate to contact me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Thu, 1 Dec 2005 08:48:05 -0000
Reply-To: S Gillman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: S Gillman <[log in to unmask]>
Subject: COURSE: DATA MANAGMENT USING MS ACCESS, BRISTOL
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1; FORMAT=flowed
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
University of Bristol, Dept. of Social Medicine
Data Management using MS Access - 2 day course
DATES: 2-3 February 2006
FACULTY: Peter Shiarly
FURTHER INFO: http://www.epi.bris.ac.uk/shortc
COURSE AIMS:
The course aims to give an introduction to data management including the=20
structure of an epidemiological dataset, table design, querying data, form=20
and report design, macro design and elementary programming using Visual=20
Basic
COURSE OUTLINE: By the end of the course students should be able (using=20
Microsoft Access 2000) to:
Design questionnaires and forms which are suitable for accurate data =
capture
Set up a new database including the design of tables
Have some basic skills in querying data
Design forms and reports based on one or many tables (includes subforms).
Use macros to automate complex database operations
Elementary use of Visual Basic programming
Cost: =A3300 (see website for concessions).
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
----------------------
S Gillman, Social Medicine
[log in to unmask]
I am in the office Wednesday to Friday during the hours of 9am to 5pm and
will respond to you as soon as I am in.
=========================================================================
Date: Thu, 1 Dec 2005 02:37:23 -0800
Reply-To: arindam gupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: arindam gupta <[log in to unmask]>
Subject: Data on Epidemiology
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Friends,
I want real data on Epidemiology where
infection can spread by two ways one is from source
and another is from infected person. If any one know
where this type of data is available please, inform
me.
Thanking you
Arindam
Arindam Gupta
Senior Research Fellow
Department of Statistics
Calcutta University
India
web side - www.custat.org
Ph No.- 9433261178
__________________________________
Yahoo! Mail - PC Magazine Editors' Choice 2005
http://mail.yahoo.com
=========================================================================
Date: Thu, 1 Dec 2005 10:48:58 -0000
Reply-To: Mark O'Brien <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mark O'Brien <[log in to unmask]>
Subject: JOB: Latest Contract Statistician Vacancy- South East
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Dear=20Allstat,
Contract=20Statistician-South=20East-=20Dec/Jan=20Start=20date-=206=20mont=
hs-=20Excellent=20Rates
Key=20Skills=20and=20Responsibilities:
My=20client=20is=20urgently=20looking=20for=20a=20Statistician=20with=20id=
eally=205-7=20years=20experience=20as=20a=20statistician,=20including=20al=
l=20phases=20of=20clinical=20development.=20Role=20will=20involve=20workin=
g=20on=20a=20regulatory=20submission=20and=20two=20ongoing=20development=20=
studies=20(Phase=20I=20and=20III).=20Experience=20of=20multivariate=20logi=
stic=20regression=20highly=20desired.=20Knowledge=20of=20anti-infectives=20=
desired=20but=20not=20essential.=20Must=20be=20able=20to=20communicate=20w=
ith=20a=20variety=20of=20colleagues,=20including=20project=20managers,=20C=
RAs,=20SAS=20programmers,=20PK=20analysts,=20clinical=20and=20regulatory=20=
staff.=20Will=20be=20involved=20in=20regulatory=20project=20team=20meeting=
s.=20Will=20finalise=20analysis=20plans=20and=20liase=20with=20SAS=20progr=
ammers=20and=20CDM=20team=20members=20on=20a=20regular=20basis.=20Will=20r=
eview=20CRF=20design=20and=20CDM=20edit=20checks=20and=20provide=20guidanc=
e=20on=20database=20design=20where=20required.=20Will=20review=20output=20=
from=20analysis=20plans=20and=20provide=20statistical=20summaries.=20Liase=
=20with=20CRO=20regarding=20CSR.=20Will=20provide=20ad=20hoc=20statistical=
=20advice=20to=20clinical=20and=20regulatory=20colleagues=20where=20necess=
ary.
Please=20contact=20me=20to=20discuss=20the=20role=20and=20location=20in=20=
more=20detail.
Kind=20regards,=20Mark
=20Mark=20O'Brien
=20James=20Harvard=20Pharmaceutical=20Ltd=20
=20T.=20020=207269=205006=20=20=20M.=2007921=20176225=20=20=20=20=20F.=200=
20=207269=205009=20
=20e:[log in to unmask]:=20www.jamesharvar=
d.com
______________________________________________________________________
This=20email=20has=20been=20scanned=20by=20the=20MessageLabs=20Email=20Sec=
urity=20System.
For=20more=20information=20please=20visit=20http://www.messagelabs.com/ema=
il=20
______________________________________________________________________
=========================================================================
Date: Thu, 1 Dec 2005 10:49:41 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: CONTRACT VACANCY: Project Statistician - UK based,
Home Counties - Major Pharmaceutical Client
MIME-Version: 1.0
Content-Type: text/plain
Dear allstaters,
please find attached the latest contract vacancy for you to review, please
note: this position is open to application from Statisticians for
pharmaceutical or academia backgrounds;
TITLE: Project Statistician
PURPOSE: To develop protocol designs, clinical plans and data analysis plans
together with internal teams. Work closely with European clinical operations
& clinical development to establish a reporting database and for analysing
medical data.
EXPERIENCE: Essential; demonstrated technical knowledge / application within
a clinical background, experimental / statistics preferably in phase IV
clinical trials / observational research, business process expertise with
critical activities, understanding of Medical / Health Outcomes functional
groups and good SAS programming.
ROLE:
Technical Leadership & Process Improvement
- establish relationships over multiple cultures with Europe
- provide strong technical advice for partners
- research, understand, summarise new analytical techniques
Capacity Management and Project Execution
- delivery of statistical work on time, budget and to quality
standards
- create / maintain project briefs
- progress reporting on assigned studies
Statistical Trial Design and Analysis
- provide input to study protocol, design studies, write protocols /
study descriptors
- select statistical methods for data analysis
- in collaboration plan / implement data QA plans
Therapeutic Area Knowledge
- Understand disease states to enhance business partner focus.
Communication of Results and Inferences
- write reports / communicate results
- Communicate study results via manuscripts / presentations
Regulatory Compliance
- perform work in full compliance
START DATE: ASAP, but they will wait for notice
LOCATION: Home Counties, UK
CONTRACT LENGTH: 12 months
If you are interested in this position, please contact me for review of the
full specification. If you know of someone to which this is applicable but
may not receive this email, please feel free to forward this email to
relevant persons.
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Thu, 1 Dec 2005 10:51:47 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: FW: CONTRACT - Senior Statistical Programmer OR Statistician - On
colgy Specialist (12 months+ contract)
MIME-Version: 1.0
Content-Type: text/plain
> Dear allstaters,
>
> please find attached the latest contract vacancy for you to review;
>
> TITLE: Senior Statistical Programmer OR Statistician - Oncolgy Specialist
> (12 months+ contract)
>
> ROLE: Essential, educated to degree level or equivalent, 3-5 years
> experience as a SAS / Statistical programmer within the pharmaceutical /
> CRO industries, demonstrated ability to lead programming aspects of a
> clinical trial, SAS/base, SAS/macro, PROC/Report, experience of project
> level programming activities (pooling of data for ISS / ISE), electronic
> submission, & a good knowledge of clinical trials & statistics. Desirable,
> SAS/graph, ODS or SQL. Reporting to the head of statistical reporting in
> this major international pharmaceutical you will be responsible for; input
> in specifications for analysis (including derived datasets / listings /
> tables / graphs) of clinical trials across phase II-IV, subsequent timely
> delivery of high quality tables / listings / graphs of clinical trials
> from analysis plan including ad-hoc exploratory analyses & represent line
> function within clinical teams.
>
> LOCATION: Mainland Europe, Germany
> CONTRACT LENGTH: 12 months+
> RATE: Euros 60 - 80 / hour - Dependant on Experience
> START DATE: ASAP, but they will wait for notice periods
>
> If you interested in this role please feel free to contact me for further
> details at the earliest possible moment.
>
> Regards
>
> James Carrera
> European Contracts Manager
> Pharmaceutical, Healthcare & CRO division.
> 1st IT People
> Tel: +44 (0) 207 940 3900
> Fax: +44 (0) 207 886 8161
> mailto:[log in to unmask]
> <mailto:[log in to unmask]>
> www.1st-itpeople.com <www.1st-itpeople.com>
>
> Offices in UK, Switzerland, The Netherlands & Hong Kong
> This email is confidential and intended solely for the use of the
> individual to whom it is addressed. Any views or opinions presented are
> solely those of the author and do not represent those of the company from
> which the email was sent. If you are not the intended recipient, be
> advised that you have received this e-mail in error and that any use,
> dissemination forwarding, printing or copying of this e-mail is strictly
> prohibited. While every effort has been made to scan this e-mail, we can
> not accept any responsibility for loss of business or damage caused
> arising from this e-mail.
>
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Thu, 1 Dec 2005 11:41:15 +0000
Reply-To: Fiona Steele <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Fiona Steele <[log in to unmask]>
Subject: REMINDER: RSS Social Statistics meeting
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: quoted-printable
Content-Disposition: inline
Apologies for cross-posting.
RSS SOCIAL STATISTICS MEETING ON EVENT HISTORY ANALYSIS
Date and time: Tuesday 13 December 2005, 5pm (tea from 4.30pm)
Venue: 12 Errol Street, London EC1Y 8LX=20
Admission: The meeting is open to all and free of charge
PROGRAMME
Jane Elliott (Centre for Longitudinal Studies, Institute of Education)
"The value of event history techniques for understanding social processes:
modelling women=92s employment behaviour"
Andrew Pickles (Centre for Census and Survey Research and School of
Epidemiology and Health Science, University of Manchester)
"Random effects and latent variables in event history analysis: measurement
error, multivariate events and endogeneity"
Arnstein Aassve (Institute for Social and Economic Research, University of
Essex)
"Modelling multiple event histories"
Abstracts can be found at
<http://www.rss.org.uk/main.asp?page=3D1321&event=3D204>.=20
----------------------
Dr Fiona Steele
Reader in Social Statistics
Centre for Multilevel Modelling, Graduate School of Education
University of Bristol
35 Berkeley Square
Bristol BS8 1JA
UK
Email: [log in to unmask]
Phone: 0117 928 7045
Fax: 0117 925 1537
=========================================================================
Date: Thu, 1 Dec 2005 13:00:28 +0000
Reply-To: Jenny Dixon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jenny Dixon <[log in to unmask]>
Subject: JOB: Statisticians
Due to company expansion, applications are invited for positions for
applied statisticians, programmers (in Splus, R and C) and technical
support. There are both senior and junior full-time vacancies working as
part of a team in the area of sports and betting.
The positions, with flexible start dates from February 2006 onwards, are
within a successful statistics consultancy based in Exeter, UK.
For further details, please e-mail Jenny at [log in to unmask]
=========================================================================
Date: Thu, 1 Dec 2005 13:49:53 -0000
Reply-To: Dr C B Stride <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dr C B Stride <[log in to unmask]>
Organization: University of Sheffield
Subject: JOB: Statistician, Inst. Work Psychology, University of Sheffield
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
JOB TITLE: Research Associate - 2 Posts (1 Part-time, 1 Full-
time)
BRIEF OUTLINE: The appointees will work on an ESRC-funded
project, 'High involvement management, employee well-being and
organisational performance' which will examine modern
management practises. Applicants should have an MSc or PhD,
ideally in statistics or a related discipline such as econome
REPORT TO: Professor Stephen Wood
MAIN ACTIVITIES & RESPONSIBILITIES:
Developing and maintaining data bases.
Helping scope individual subprojects.
Developing methods and measures to analyse data.
Preparing reports for other members of the team, conference
presentations and academic papers.
Preparing dissemination meetings to practitioners.
Suggesting ideas for analysis outside the research specification for
future research.
PERSON SPECIFICATION
Applicants should demonstrate evidence of the following:
Qualifications
Ideally a PhD, minimum M.Sc., in statistics or related
discipline.
Expertise in data analysis and interpretation.
Produce written work to a high standard.
Able to work effectively as part of a team.
Communication skills
Good oral communication skills and evidence of working with
non-statisticians.
Personal effectiveness
An interest in work organisations and related topics.
Applicants should indicate in their applications their familiarity with
structural equation modeling, multi-level modeling and configuration
analysis. Candidates invited for interview will be sent the full
project outlines as accepted by the ESRC.
FURTHER INFORMATION
INFORMAL ENQUIRIES: Informal enquiries may be directed to
Professor Stephen Wood, tel: 0114 2223230 or 07717377185,
email: [log in to unmask] or Dr Lilian de Menezes, tel: 020
70408359, email: [log in to unmask]
Further information about the Institute may be found on its web
sites at: http://www.shef.ac.uk/psychology/ and
http://www.shef.ac.uk/~iwp/, which includes links to its host
departments, Psychology and the Management School; and about
Cass Business School on http://www.cass.city.ac.uk/.
SALARY: =A322,774 - =A324,886 per annum.
CLOSING DATE: 19 December 2005
PLEASE QUOTE REFERENCE NO: PR2278
HOW TO APPLY:
Online: Please visit www.sheffield.ac.uk/jobs, click on the title
of the post you wish to apply for and select the 'apply online' link.
Or please send:
a) your full curriculum vitae with a covering letter explaining your
interest in, and suitability for, this vacancy (two copies of each)
b) a completed Summary Information Form/Equal Opportunities
Monitoring Form
by post to:
The Staff Recruitment Service
Department of Human Resources
The University of Sheffield
Firth Court
Western Bank
SHEFFIELD S10 2TN
or in person to:
The Staff Recruitment Service
Department of Human Resources
The University of Sheffield
10 - 12 Brunswick Street
SHEFFIELD S10 2FN
(Reception is open Monday-Friday 9am - 5pm).
=========================================================================
Date: Thu, 1 Dec 2005 23:55:01 -0800
Reply-To: Indrajit Sengupta <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Indrajit Sengupta <[log in to unmask]>
Subject: QUERY: What approach to take?
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Dear All,
I have a question relating to what approach to take
for the following problem.=20
Suppose a company is making a product which itself
might include around upto 30 or so subproducts
depending on what the customer wants. The company is
also responsible for making the subproducts. Now the
company faces the issue in delivering the finished
product in time as it also has to manufacture the
subproducts. Now if the company seeing competition
decides to decrease the delivery time by storing the
right subproducts which will have higher demand in
their store, then how should it go about in analyzing
it and what kind of data might be required for the
analysis.=20
Any insight would be very helpful. I think the company
needs to do some inventory management. But to do that
it needs to have an idea of the demand curve for each
of the subproducts. Is there any other approach that
can be followed here. I have heard that neural
networks are applied sometimes but have no idea of how
to implement it.
Thanks in advance,
Indrajit Sen Gupta
=09
__________________________________________=20
Yahoo! DSL =96 Something to write home about.=20
Just $16.99/mo. or less.=20
dsl.yahoo.com=20
=========================================================================
Date: Fri, 2 Dec 2005 12:29:53 +0000
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that=20=20is=20=20intellectually=20=20stimulating,=20=20challenging=20=20a=
nd=20=20varied.=20Excellent
analytical=20skills=20are=20essential,=20naturally,=20but=20this=20is=20al=
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that=20=20will=20=20call=20=20on=20=20your=20=20ability=20=20to=20=20devel=
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communicator=20and=20influencer=20both=20within=20HSE=20and=20far=20furthe=
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Applicants=20must=20have=20a=20good=20Honours=20degree=20or=20postgraduate=
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Statistics,=20=20ideally,=20=20or=20=20a=20=20closely=20=20allied=20discip=
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statistical=20=20bias;=20=20and=20=20between=20=20two=20=20and=20=20four-p=
lus=20=20years'=20experience=20of
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a=20=20sound=20=20working=20=20knowledge=20=20of=20=20relevant=20=20IT=20t=
ools=20such=20as=20SPSS,=20Stata=20or
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presentational=20=20communication=20=20skills=20and=20a=20flexible,=20crea=
tive=20and=20positive
approach=20to=20working=20within=20multidisciplinary=20teams.
You'd=20=20expect=20=20HSE=20to=20be=20at=20the=20forefront=20of=20good=20=
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Date: Fri, 2 Dec 2005 14:29:28 -0000
Reply-To: Hannah Evans <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Hannah Evans <[log in to unmask]>
Subject: Re: Please unsubscribe me from Allstat
In-Reply-To: <000001c5f64d$eec06cb0$0100a8c0@IntrepiData>
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Many thanks,
Hannah Evans
Statistician
Room 010,
St Bart and the London,
Centre for Epidemiology,
Mathematics and Statistics,
Wolfson Institute of Preventative Medicine,
Charterhouse Square,
London,
EC1M 6BQ
tel: 020 7014 0241
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]] On Behalf Of Fen Scott
Sent: 01 December 2005 08:05
To: [log in to unmask]
Subject: Courses: Excel PivotTables, PivotCharts and VBA
Dear Allstat.
IntrepiData has released its January - April 2006 Excel training course
calendar. Dates, venues and details can be found by visiting
www.intrepidata.co.uk for the list of courses shown below:
Data Analysis using Excel PivotTable Reports, 1 day.
Charting Data with Excel PivotChart Reports, 1 day.
Introduction to Excel VBA, 2 days.
Creating Automatic Systems with Excel VBA, 5 days.
Analysis of Pupil Attainment Data using Excel PivotTable Reports, 1 day.
Excel VBA for School Data, 2 days.
Discounts are available for group bookings of 2 or more delegates.
Special Offer: Any 2006 course deliveries booked by 16th December 2005
will qualify for a 10% discount on the normal course price. Please quote
this offer when booking onto any of the courses.
For more information, or to book onto any of the courses, please do not
hesitate to contact me.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Fri, 2 Dec 2005 17:20:46 +0100
Reply-To: "Coolen - van Will, L." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Coolen - van Will, L." <[log in to unmask]>
Subject: EURANDOM Workshop on "Economics and Finance of Extremes",
December 12 and 13, 2005
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ANNOUNCEMENT
WORKSHOP
December 12 & 13, 2005
"The Economics & Finance of Extremes" to be held at EURANDOM, =
Eindhoven, The Netherlands.
http://www.eurandom.tue.nl/workshops/2005/Economics/economics_main.htm
The probabilistic and statistical theory of extreme values and heavy =
tails has developed vigorously in the last decades. Various types of =
economic and financial data have been found to exhibit heavy tail =
features and extreme value theory has been successfully applied to =
economic problems. For example, Pareto's work initiated the statistical =
work on the heavy tail nature of income and firm size distributions; =
more recently, elegant use was made in finance of statistics of extreme =
values in Value-at-Risk estimation and lately multivariate EVT has been =
instrumental for the estimation of systemic risk. While many economic =
data apparently are heavy tailed and do exhibit stronger =
interdependencies than the multivariate normal model would suggest, the =
financial and economics literature that explains these data features is =
scarce. Recently researchers from various fields such as probability =
theory, mathematical physics, and financial economics have produced =
interesting novel explanations.
It is the aim of this workshop to bring together a small group of high =
profile researchers who work on the (probabilistic) explanations of =
extremes-related phenomena in economics and finance, like heavy tailed =
distributions, or the tail behaviour of economic data in general. Apart =
from the question concerning the typical univariate tail behaviour of =
financial data, the workshop focuses on multivariate tail properties and =
their economic foundations. This analysis might explain why specific =
(tail) copulas should occur or why boundaries of the support of a =
distribution have certain features. We hope that this workshop will =
increase the understanding of the probabilistic properties of extremes =
of economic and financial datasets and will lead to improved statistical =
models.
SPEAKERS
1 hour Presentations=20
1. X. Gabaix (MIT)=20
2. E.V. Khmaladze (Victoria University)=20
3. S. Resnick (Cornell)=20
=BD hour Presentations
1. J. Einmahl (Tilburg)
2. L. De Haan (EUR)=20
3. S. Huang Poon (Manchester)=20
4. N. Hyung (University of Seoul/Tinbergen Institute)
5. Deyuan Li (Bern)
6. Y. Malevergne (University of Lyon-ISFA)=20
7. C. van Marrewijk (EUR)=20
8. T. Mikosch (Copenhagen)=20
9. J. Perry (FED, Boston)=20
10. C. de Vries (EUR)
For more detailed information consult: =
http://www.eurandom.tue.nl/workshops/2005/Economics/economics_main.htm
=========================================================================
Date: Fri, 2 Dec 2005 13:42:11 -0600
Reply-To: Jay Warner <[log in to unmask]>
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<[log in to unmask]>
From: Jay Warner <[log in to unmask]>
Subject: Re: QUERY: What approach to take?
Comments: To: Indrajit Sengupta <[log in to unmask]>
Comments: cc: Jim Womack <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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I believe that what you are describing is a relatively frequent =20
problem for many companies.
The 'current thinking' approach is to look at the flow of items, from =20=
raw materials to customer use (or beyond), and LEAN out the =20
production stream.
"LEAN" manufacturing is the procedure/philosophy/whatever that looks =20
at how all the pieces of production are brought together and =20
converted to product in the customer's hands. It is related =20
originally to the Toyota Production System. For example, there is =20
something called the 'takt' time, the time permitted for each =20
operation step, such that all the customers get what they want, and =20
no more is produced, each day. For example, if you sell 1000 units =20
per day, and your workers are on deck for 7 hours (=3D 7*60*60 =3D =
25,200 =20
seconds) per day, then each production step must produce one part in =20
25.2 seconds. At this rate, you can have virtually no work in =20
progress, and you will turn out 1000 units each day.
Clearly, real life is not that simple, but from this kind of =20
calculation you can work out each process step for maximum customer =20
satisfaction and minimum production waste.
the distribution network for a product is rightfully part of the =20
total picture, and part of LEANing out the firm.
Learn the details and overview by googling for "Jim Womack" and Lean =20
Institute.
As a local (Southeast Wisconsin, USA) matter, next week Thursday a =20
local company is going to give some of us a tour of their engine =20
assembly operation, which is now almost fully LEANed out. Anyone in =20
the area who wants to attend, please email me, with your company =20
affiliation, by Monday off-line.
Oh, and 'inventory management' is a part of LEAN methods.
Cheers & good luck,
Jay
On Dec 2, 2005, at 1:55 AM, Indrajit Sengupta wrote:
> Dear All,
> I have a question relating to what approach to take
> for the following problem.
>
> Suppose a company is making a product which itself
> might include around upto 30 or so subproducts
> depending on what the customer wants. The company is
> also responsible for making the subproducts. Now the
> company faces the issue in delivering the finished
> product in time as it also has to manufacture the
> subproducts. Now if the company seeing competition
> decides to decrease the delivery time by storing the
> right subproducts which will have higher demand in
> their store, then how should it go about in analyzing
> it and what kind of data might be required for the
> analysis.
>
> Any insight would be very helpful. I think the company
> needs to do some inventory management. But to do that
> it needs to have an idea of the demand curve for each
> of the subproducts. Is there any other approach that
> can be followed here. I have heard that neural
> networks are applied sometimes but have no idea of how
> to implement it.
>
> Thanks in advance,
> Indrajit Sen Gupta
>
>
>
> =09
> __________________________________________
> Yahoo! DSL =96 Something to write home about.
> Just $16.99/mo. or less.
> dsl.yahoo.com
>
Jay Warner
Principal Scientist
Warner Consulting, Inc.
4444 North Green Bay Road
Racine, WI 53404-1216
USA
Ph: 262.634.9100
FAX: 262.681.1133
email: [log in to unmask]
web: www.a2q.com
The A2Q Method(tm) --- What do you want to improve today?
=========================================================================
Date: Mon, 5 Dec 2005 06:52:48 +0000
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Query: PROC LOESS
Comments: To: SAS SAS <[log in to unmask]>,
SAS job <[log in to unmask]>,
"[log in to unmask]" <[log in to unmask]>,
"[log in to unmask]" <[log in to unmask]>,
"[log in to unmask]" <[log in to unmask]>,
"[log in to unmask]"
<[log in to unmask]>
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Hi,=20
I have read Locally Weighted Regression (LOESS) from the=20
book "Introduction to Linear Regression Analysis" by Montogomery,=20
Peck and Vining and then I have tried it through SAS. I face=20
following problems.=20
1. MODEL dep. Vars =3D indep. Vars / DIRECT;
In SAS-help file it is written "DIRECT option specifies that local=20
least squares fits are to be done=85". I have found in the book "the=20
loess procedure uses the points in the neighbourhood to generate a=20
weighted least square estimate of the specific response" (page no=20
239, third edition).=20
Does here the "local least squares" in SAS-help is equivalent=20
to "Weighted Least Squares" in the book?
2. MODEL dep. Vars =3D indep. Vars / INTERP=3Dlinear/cubic;
It is written is SAS-help "The INTERP=3D option specifies the degree=20
of the interpolating polynomials used for blending local polynomial=20
fits at the kd tree vertices."
I do not get what it tells.
3. How can I specify TRI-CUBE weighting function in LOESS procedure?
4. What does it mean by KD TREE?
If anybody knows the answer then I sincerely request to answer my=20
questions.
With regards,
Madan
--------------
=20
Madan Gopal Kundu=20
Room no 18, Sukhatme Hostel=20
Indian Agricultural Statistics Research Institute=20
Library Avenue, Pusa=20
New Delhi 12
India
Web: http://www.freewebs.com/madanstata
mobile: 91-9868788406
e-mail: [log in to unmask]
=20
=09
---------------------------------
Enjoy this Diwali with Y! India Click here
=========================================================================
Date: Mon, 5 Dec 2005 08:36:29 +0000
Reply-To: Gill Lancaster <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gill Lancaster <[log in to unmask]>
Subject: Job: RA in Statistical Pharmacogenetics, Liverpool
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THE UNIVERSITY OF LIVERPOOL
NORTHWEST INSTITUTE OF BIO-HEALTH INFORMATICS AND CENTRE FOR MEDICAL=20
STATISTICS AND HEALTH EVALUATION
RESEARCH ASSOCIATE, STATISTICAL PHARMACOGENETICS
=A322,111 - =A328,850 pa , two years
This post is part of the University investment in pharmacogenetics. The=20
overall aim of pharmacogenetics is to investigate genetic polymorphisms to=20
try to predict an individual's response to certain drugs.
You will collaborate with other researchers to design and analyse=20
pharmacogenetic studies. It is anticipated that this may require=20
development and implementation of new statistical methods, as well as the=20
assessment and use of existing methods.
You will have a postgraduate qualification, or equivalent experience, in=20
statistical genetics or related field (statistics, epidemiology, population =
genetics, bioinformatics, mathematics).
Enquiries to Professor Paula Williamson on 0151-794-4760, email:=20
[log in to unmask]
Quote Ref: A/978 Closing Date: 25 January 2006
Further particulars and details of the application procedure should be=20
requested from the Director of Personnel, The University of Liverpool,=20
Liverpool L69 3BX on
0151 794 2210 (24 hr answerphone), via email:[log in to unmask] or are
available online at http://www.liv.ac.uk/university/jobs.html
COMMITTED TO EQUAL OPPORTUNITIES
=========================================================================
Date: Mon, 5 Dec 2005 11:01:19 -0000
Reply-To: "Kosmider, Rowena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kosmider, Rowena" <[log in to unmask]>
Subject: Job: Risk Modeller
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Content-Type: text/plain; charset="iso-8859-1"
A Band D Risk Modeller in the Centre for Epidemiology and Risk Analysis,
Veterinary Laboratories Agency - Weybridge, Addlestone, Surrey=20
There is a position available for a Risk Modeller to work as part of the
Risk Analysis Workgroup to undertake work in all aspects of risk analysis
with a focus on the development of quantitative risk assessments and/or
infectious disease modeling in the area of food safety and/or animal health.
The post may also include varying amounts of research, methodological
development and advice on qualitative risk assessment, hazard
identification, risk communication and risk management. The main duties
include:
* Developing and using risk assessment/mathematical models applied to
current national and international veterinary and public health.
* Undertaking methodological research for development of all aspects of risk
analysis, with a particular focus on quantitative risk assessment
* Presenting results by writing project reports, and papers, and giving oral
presentations and advice
* Liasing with all those providing information and data for risk assessment
work, including specialists, collaborators, policy makers and other
stakeholders
* Writing project proposals to obtain funding, managing projects, line
managing and supervising Band E risk analysts
* Keeping up to date with developments in selected areas of the risk
analysis discipline
The successful applicants should have a degree in a quantitative subject or
which includes a substantive quantitative element and a demonstrated track
record of experience and success in an aspect or aspects of quantitative
risk assessment or mathematical modelling. Applicants should either have
appropriate risk analysis experience or a higher degree. Other necessary
attributes include a motivated, enthusiastic and flexible self-starter with
the ability to work as part of a multi-disciplinary team, an organised
methodological approach to data collection and recording and presentation of
results; a confident and clear oral communicator with a strong interest in
veterinary and/or public health. In addition, knowledge of, or experience
in an aspect of agriculture, veterinary or public health, or biology would
be an advantage, as would experience of project or staff management.=20
This post is a full-time permanent post in Pay Band D =A322,300 to =A332,10=
0 per
annum. If interested, please contact the VLA Personnel Department on +44
(0)1932357257 an application form to be sent to you (quoting reference ADP
3561).Alternatively, go to the Job Opportunities link on the VLA website
www.vla.gov.uk. The closing date for application forms is the 13th January
2006.
Rowena Kosmider (n=E9e Jones)
Risk Analysis Workgroup
Centre for Epidemiology and Risk Analysis
Veterinary Laboratories Agency-Weybridge
New Haw, Addlestone
Surrey KT15 3NB
Email: [log in to unmask]
Tel: 01932 357753
Fax: 01932 357445
Veterinary Laboratories Agency (VLA)
This email and any attachments is intended for the named recipient
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If you have received it in error you have no authority to use, disclose,
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=========================================================================
Date: Mon, 5 Dec 2005 12:16:28 +0000
Reply-To: G W Cran <[log in to unmask]>
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From: G W Cran <[log in to unmask]>
Subject: JOB: Med Stats Lecturer, Queen's Univ Belfast
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Lecturer/Senior Lecturer in Medical Statistics=20
School of Medicine and Dentistry=20
Ref: 05/K520A=20
Applications are invited for this lectureship/senior lectureship in Medical =
Statistics to provide statistical and modelling expertise within the=20
School. The successful applicant will be expected to contribute towards the =
advancement of the subject of Medical Statistics, to participate in the=20
teaching programme and engage in research activities in the area of=20
Epidemiology and Public Health (which achieved a 5 rating in the 2001 RAE), =
within the Centre for Clinical and Population Sciences and more broadly=20
within the School.
=20
=20
Applicants must hold a primary degree (or equivalent) in mathematics,=20
statistics or a cognate subject with at least 3 years recent relevant=20
experience of the application of quantitative methods in a medical=20
environment. Further criteria will be listed in the further particulars for =
the post. The appointment will be made at either Lecturer or Senior=20
Lecturer level, commensurate with the experience of the successful=20
candidate.=20
=20
Salary scale: Lecturer =A324,352 - =A336,959 per annum, Senior Lecturer=20
=A338,685 - =A343,850 per annum=20
=20
Closing date: 4.00pm, Friday 16 December 2005=20
=20
The University is committed to equal opportunity and selection on merit.=20
It therefore welcomes applications from all sections of society.=20
=20
Applications should be addressed to the Personnel Manager, The Personnel=20
Department, Queen's University Belfast, Northern Ireland, BT7 1NN. Tel: 028 =
90973044, Fax. 028 90971040, e-mail [log in to unmask], www.qub.ac.uk/pers =
=========================================================================
Date: Mon, 5 Dec 2005 13:40:05 +0000
Reply-To: Michaela Cottee <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Michaela Cottee <[log in to unmask]>
Subject: ANNOUNCE: RSS Herts/Beds Local Group Meeting 7th December
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Please find below a reminder of the details of the next RSS Herts/Beds
Local Group meeting on 7th December. Please don't hesitate to contact me
for further information.
Regards,
Michaela Cottee
Deputy Chairman, RSS Herts/Beds Local Group
University of Hertfordshire Business School, Hatfield, Herts AL10 9AB
===========================================
SEMINAR: RSS Herts/Beds Local Group
Wednesday 7th December, 6.30pm
Room G05, Bedfordshire & Hertfordshire SHA, Tonman House, 63-77 Victoria
Street, St Albans, Herts AL1 3ER
(tea from 6.00pm)
G Robin Henderson (Stroke Audit Coordinator, Royal Infirmary of Edinburgh)
"Shewart charts in the monitoring of the process of stroke care"
Stroke is the third most common cause of death and the most common cause of
severe physical disability in Scotland. Since 2001, data have been
collected on the process of care of stroke patients at three major
hospitals at Lothian - since 2002 as part of the Scottish National Stroke
Audit. Shewhart control charts, widely used in industry since the 1920's,
have now been used with data on the process of the care of stroke
patients. The talk will explain the construction of the charts, discuss
the various tests for evidence of special causes of variation that may be
applied, and refer to current research.
ALL WELCOME. The meeting is free of charge.
=========================================================================
Date: Fri, 2 Dec 2005 17:23:23 +0000
Reply-To: Helen Parker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helen Parker <[log in to unmask]>
Subject: CONFERENCE: RSC2006 - REGISTRATION OPEN
In-Reply-To: <[log in to unmask]>
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***************************************************************************************
Attention: Postgraduates, Postgraduate Supervisors, Heads of Department
***************************************************************************************
Registration is now open for
The 29th Annual Research Students' Conference in Probability and
Statistics (RSC2006) - the conference organised by postgraduates for
postgraduates.
RSC is an annual event designed to give postgraduate students in all
areas of probability and statistics an appropriate forum to present
their research and to listen to talks in related topics. It provides
an excellent opportunity for postgraduates to discuss their work with
fellow students and make contacts for the future.
Date: 20th - 23rd March, 2006
Venue: University of Glasgow, Scotland
Further information is available at:
http://www.stats.gla.ac.uk/rsc2006, or email [log in to unmask]
Numbers are limited so please register early.
Kind Regards,
RSC2006 Organisers
=========================================================================
Date: Mon, 5 Dec 2005 15:57:56 +0000
Reply-To: Dimitris Bagavos <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dimitris Bagavos <[log in to unmask]>
Subject: Job: Econometrician/Statistician SAS programmer
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Econometrician/Statistician SAS programmer=20
Accenture Marketing Sciences (AMS) offering applies econometric modeling=20
and Marketing Sciences to drive top-line revenue growth, and optimize=20
marketing mix spending strategies through category stimulation and=20
increased market share. The offering can identify opportunities for=20
maximizing the return on marketing investment and consequently improve a=20
client=92s revenue, share and profit performance significantly.=20
AMS has a new and exciting initiative for 2005, to develop an Athens based=20
market modeling resource centre.=20
AMS is looking for outstanding people:
=95 With minimum a Master=92s degree in Econometrics, Statistics or=20
Mathematics (with sound time series and/or statistical background)
=95 At least an intermediate capability in SAS programming is required
=95 The candidates will be responsible for data management, data=20
analysis and statistical modeling.
=95 Part of this position will be to supervise groups of analysts=20
working on multinational projects=20
=95 The candidates should be flexible in traveling abroad to=20
participate in client meetings
=95 Working experience is not a prerequisite
We offer competitive compensation, comprehensive training programs, a=20
stimulating working environment and excellent career advancement=20
opportunities.=20
All applications will be treated in full confidence. Please, send your CV=20
in English to:
Mr. Sotiris Drinias
[log in to unmask]
=========================================================================
Date: Mon, 5 Dec 2005 16:18:56 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: CHEMOMETRICIAN - GlaxoSmithKline, Southeast England
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GSK has a permanent opportunity for a Chemometrician with a PhD or MSc in=20
chemometrics, statistics, mathematics or physical sciences.=20
You will have:
=B7 Experience of the application of chemometric techniques to=20
either/both electromechanical sensor and spectroscopic, acoustics or=20
particle sizing data.=20
=B7 A thorough knowledge of advanced multivariate statistics, eg=20
Principal Component Analysis and Partial Least Squares is required.=20
=B7 Expertise in Curve Resolution or N-Way analysis techniques,=20
particularly of images, would be highly beneficial.=20
=B7 Basic programming skills (eg Matlab and/or VBA) and familiarity=20
with multivariate data analysis software packages such as SIMCA-P, Matlab, =
Unscrambler or equivalent are required.=20
=20
ROLE DETAILS:
An opportunity has arisen within GSK?s Pharmaceutical Development Division =
for a PhD or MSc Chemometrician, Mathematician, Statistician or Scientist=20
to join the Global Chemometrics Team within Process Technologies.=20
The position will involve the deployment and development of chemometric=20
techniques to product and process development applications. Of particular=20
interest would be a candidate who could apply their chemometric and=20
programming skills to the development and deployment of models for the=20
real time monitoring of particular processes.=20
Familiarity with basic statistical principles and experimental design=20
would also be required. A background in synthetic, analytical or=20
formulation chemistry would also be an advantage but not essential.=20
To Apply:
At GlaxoSmithKline we provide a supportive working environment, and a=20
range of development challenges and opportunities. We also offer=20
competitive benefits and compensation packages designed to attract and to=20
retain the very best.
For confidential consideration and efficient processing, please apply=20
online ? providing an indication of basic salary requirements - at:=20
http://careers.peopleclick.com/client=5Fgsk/BU1/External=5FPages=5FUK/newca=
ndidate.asp?Source=3DALL&JobID=3D82815
Please only apply by clicking on this link or by cutting and pasting it=20
into your web browser.
Thank you for taking the time and effort to apply for this role. Please=20
note that we will only contact you again if you are invited to interview.=20
All data processed in accordance with the provisions of the Data=20
Protection Act.=20
GSK is proud to promote an open culture, encouraging people to be=20
themselves and giving their ideas a chance to flourish. GSK is an equal=20
opportunity employer. To enable GSK to meet it's commitment as a two ticks =
employer please let us know if you have a disability.
www.gsk.com
"do more, feel better, live longer"
=========================================================================
Date: Mon, 5 Dec 2005 18:50:25 +0200
Reply-To: Nikos Kakalis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nikos Kakalis <[log in to unmask]>
Subject: Three-parameter Gamma; Transformation for Negative Skewness
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Dear all,
I would greatly appreciate your help on the following issue.
I have written a code to fit a three-parameter gamma distribution on
given data sets with the method of moments.
Nevertheless, a few of the samples exhibit negative skewness.
Is there a transformation I could apply to represent these samples?
Thank you very much,
Nikos
_________________________________________________________________
Don't just search. Find. Check out the new MSN Search!
http://search.msn.click-url.com/go/onm00200636ave/direct/01/
=========================================================================
Date: Mon, 5 Dec 2005 16:35:53 +0000
Reply-To: Kate Paton <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kate Paton <[log in to unmask]>
Subject: Advance Notice: Young Statisticians Meeting 2006
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The Young Statisticians' Meeting 2006 will take place in Edinburgh on the=20
19th and 20th of April.
Participants in this annual event are career-young statisticians. Typical=20
delegates are either in the final stages of a Ph.D. or Msc, or have been=20
working as a practising statistician in an academic, medical, industrial or =
business environment for up to five years.=20
The meeting has enjoyed considerable success and has grown in recent years=20
to a level where it now attracts over 100 participants from Ireland, the UK =
and further afield.
The conference provides a forum for participants to exchange research=20
ideas, both formally (through oral and poster presentations) and informally =
(over lunch, dinner and at the evening receptions). The meeting is intended =
to foster greater interaction between statisticians working in different=20
fields and to provide an oportunity for individuals new to the field to=20
meet key employers and organisations.
The meeting consists of parallel sessions during the day with a poster=20
session and sponsors=92 wine reception during the evening of Wednesday April=
=20
19th and the conference dinner on Thursday the 20th. This year's guest=20
speakers will be Shelia Bird from the MRC Biostatistics Unit=20
(http://www.mrc-bsu.cam.ac.uk) and Anna Rosling from the Gapminder=20
Foundation (http://www.gapminder.org/news.htm).
The themes of individual parallel sessions will be finalised early next=20
year. As a guide, previous meetings have included sessions on environmental =
statistics, medical and pharmaceutical statistics, theoretical statistics,=20
statistical computation, engineering statistics, quality control and=20
financial stochastic modelling.
Full details of the conference programme will be posted on the YSM2006=20
website (www.show.scot.nhs.uk/indicators/ysm2006) as they are finalised and =
a call for papers and posters will be sent out in the new year.
In the meantime, if you have any queries about the event please contact us=20
at [log in to unmask]
We look forward to seeing many of you at the conference.
YSM2006 Team.
=========================================================================
Date: Mon, 5 Dec 2005 18:05:22 -0000
Reply-To: John Quigley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Quigley <[log in to unmask]>
Subject: WORKSHOP ON BAYESIAN NETWORKS IN DEPENDABILITY
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--------------------------------------
CALL FOR PAPERS
---------------------------------------
WORKSHOP ON BAYESIAN NETWORKS IN DEPENDABILITY (BND2006)
co-located with the First International Conference on Availability,=20
Reliability and Security (AReS) ARES 2006
April, 20th - April, 22nd 2006
Vienna University of Technology (http://www.ares-conf.org/)
----------------------------------------
WORKSHOP CO-CHAIRS:
Stefania Montani, University of Piemonte Orientale
Hichem Boudali, University of Twente
----------------------------------------
WORKSHOP TOPICS:
Bayesian Networks (BN) have been proposed in the field of Artificial=20
Intelligence as a probabilistic framework for reasoning under uncertain=20
knowledge. The robustness and flexibility of this formalism are=20
demonstrated by the wide spectrum of real world problems in which they=20
have been successfully tested.
The area of dependability has to be included in the range of BN=20
application domains, since, in recent years, some works have started to=20
investigate the capabilities of this methodology in modeling and=20
analyzing complex and safety critical systems. In particular, with=20
respect to traditional dependability analysis formalisms, BN show an=20
increased modeling power: they allow to deal with multi-valued=20
variables, local dependencies among components, and noisy interaction=20
among component behavior in a natural way =13 three issues that can not =
be=20
easily accounted for by Fault Trees, for instance. In addition, a=20
general inference mechanism (combining prediction as well as diagnosis)=20
can be naturally performed on them, even if evidence is gathered during=20
analysis.
Several extensions of the BN formalism also appear to be of great=20
interest: among them Dynamic BN and temporal BN in general for dealing=20
with dynamic system behavior, and object-based representations for=20
dealing with parametric representations.
The goals of this workshop will be to:
- collect present approaches to dependability applications of BN;
- show case studies and practical experiences;
- provide a forum for discussion of trends, research issues and=20
opportunities of co-operation among different groups.
Topics of interest will include (but are not limited to):
- BN for modeling and analyzing safety critical systems
- BN and BN extensions for modeling and analyzing systems showing=20
complex dependencies
- comparisons among the application of BN and other more classical=20
methodologies
- comparisons among different BN approaches to dependability problems
- case studies in using BN for dependability analysis
- use of BN to structure elicitation of expert judgment
---------------------------------------
SUBMISSION GUIDELINES:
Contributors should submit PDF papers of at most 5 pages (IEEE Computer=20
Society Proceedings Manuscript style: two columns, single-spaced),=20
including figures and references, using 10 fonts. Author Guidelines are=20
available on the web at http://computer.org/cspress/instruct.htm
The abstract and full paper have to be submitted via the ARES website
(http://www.ares-conf.org/myreview/SubmitAbstract.php
http://www.ares-conf.org/myreview/SubmitPaper.php)
Proceedings of the ARES workshops will be published by IEEE Computer=20
Society Press.
-----------------------------------------
IMPORTANT DATES:
December 14th 2005: deadline for paper submission
January 20th 2006: notification of acceptance
February 1st 2006: camera ready copy due
-----------------------------------------
WORKSHOP COMMITTE:
Joanne Bechta Dugan, University of Virginia
Marc Bouissou, Electricite=19 de France
Helge Langseth, Sintef, Norway
Luigi Portinale, University of Piemonte Orientale
John L. Quigley, University of Strathclyde, Glasgow
Luis E. Sucar, Istituto Tecnologico y de Estudios Superiores de =
Monterrey
Philippe Weber, Universit=C3'=C2=A9 Henri Poincar=C3'=C2=A9, Nancy
------------------------------------------
CONTACT PERSONS:
Stefania Montani (co-chair)
Dipartimento di Informatica
University of Piemonte Orientale
Via Bellini 25/g
I-15100 Alessandria, Italy
Tel: +39 0131 360158
Fax: +39 0131 360198
e-mail: [log in to unmask]
Hichem Boudali (co-chair)
University of Twente
Department of Computer Science
P.O. Box 217, 7500 AE Enschede, The Netherlands.
email: [log in to unmask]
=20
=========================================================================
Date: Mon, 5 Dec 2005 18:02:03 +0000
Reply-To: Graham Room <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Graham Room <[log in to unmask]>
Subject: Benchmarking the Knowledge Economy
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THE EUROPEAN INSTITUTE
LONDON SCHOOL OF ECONOMICS UNIVERSITY OF BATH
SYMPOSIUM:=20
BENCHMARKING THE KNOWLEDGE ECONOMY
Monday December 19th 1500-1815
London School of Economics, Houghton Street: Room D202=20
=20
This symposium brings together recent academic, statistical and policy-
related work on the knowledge economy. It focuses on three themes: =20
=95 the dynamics of innovation in the knowledge economy, under=20
conditions of globalisation;
=95 the challenges of statistical measurement that are posed by the=20
knowledge economy;
=95 the Lisbon process of the EU, aimed at creating a knowledge=20
economy by more intensive benchmarking and policy learning.
These themes are commonly treated in isolation from each other. The=20
symposium explores their interrelationships and the implications for=20
future policy and research.
The symposium will be of interest to academics, government statisticians=20
and policy makers working in these areas.
The symposium is organised under the joint auspices of the European=20
Institute of the London School of Economics and the University of Bath. It=20
will also include contributions from the European Commission, the=20
Directorate of Science, Technology and Industry at the OECD and the UK=20
Office of National Statistics, as well as a variety of other scholars. =20
Although participation is free of charge, if you are intending to come=20
please notify us in advance, to ensure that there are enough places: =20
[log in to unmask]
SYMPOSIUM: BENCHMARKING THE KNOWLEDGE ECONOMY
1500 Professor Iain Begg, LSE European Institute Welcome
1510-1530 Graham Room (Professor of European Social Policy,=20
University of Bath) The European Challenge: Innovation, Policy=20
Learning and Social Cohesion in the New Knowledge Economy
1530-1550 John Dryden (Deputy Director, Science, Technology and=20
Industry, OECD) The Knowledge Economy - an OECD Perspective on Measurement=20
and Analysis
1550-1610 Tony Clayton (Director Economic Analysis, Office of=20
National Statistics) Lisbon and the Knowledge Economy - Measuring=20
Progress
1615-1630 Tea
1630-1800 Discussion
Contributors include:
Professor Robin Mansell, Department of Media and Communications, LSE
Peter Johnston, European Commission DG Information Society
Clark Eustace, CASS Business School=20
Raffaella Sadun and Mirko Draca, Centre for Economic Performance, LSE
John Woodget, Intellect President (UK MD Intel)
1800-1815 Conclusion
=========================================================================
Date: Tue, 6 Dec 2005 09:25:40 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW VACANCY: SAS Programmer (1 year Contract) - Phase I-II Clinic
al Trials
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
> Dear Allstaters,
>
> please find attached the latest contract vacancy for you to review;
>
> TITLE: SAS Programmer - Phase I-II Clinical Trials
>
> DESCRIPTION: Essential; 3 years minimum SAS programming within the
> pharmaceutical / CRO industries, SAS/base, SAS/macro & a good
> understanding of data management processes. Working for this major
> pharmaceutical client you will be responsible for the SAS programming of
> derived datasets, listings & figures. Your duties include; reviewing
> protocols / CRFs / reporting & analysis plans, reporting of datasets,
> support CDM activities, develop / test SAS programs, produce tables /
> summaries / listings & work closely with CROs in reporting activities.
>
> START DATE: ASAP, but they will wait for notice period.
> LOCATION: UK based role, in the South East
> RATE: Dependant on experience
> CONTRACT LENGTH: 12 months+
>
> If you are interested in this role please get in contact ASAP for more
> details.
>
> Regards
>
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>
www.1st-itpeople.com <http://www.1st-itpeople.com>
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Tue, 6 Dec 2005 09:30:46 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: NEW VACANCY: 2 x Senior Statistical Programmer (6 months contract
although 12 is preferred where possible)
MIME-Version: 1.0
Content-Type: text/plain
Dear allsaters,
please find attached the latest contract vacancy for you to review;
TITLE: Senior Statistical Programmer
ROLE: Essential; educated to BSc level in computing / life sciences /
mathematical / statistical subject, 3-5 years+ Statistical programming
experience gained within the Pharmaceutical / CRO / Biotech industry, the
ability to use / develop advanced SAS macros, SAS/base, SAS/macro, SAS/stat,
SAS/graph, a good understanding of different phases / types of clinical
trial reporting & the goals of reporting clinical data. Desirable, any
Oncology experience. Working for this major pharmaceutical client within
their statistics team, you will plan & lead study / project activities for
data reporting. Working on different therapeutic areas within phase II-IV
trials, you will be required to develop expertise in the use of SAS and
other in-house reporting systems and the use / set-up of the reporting
environment, programming high quality tables / listings / graphs, analysis
datasets, project databases & working closely with statisticians to
implement plans for trials.
**** EXCLUSIVE POSITION ****
LOCATION: Mainland Europe
START DATE: ASAP, but they will wait for notice periods, contracts ending.
RATE: Dependant on Experience
CONTRACT LENGTH: 6-12 months
If you are interested in this position, please get in contact ASAP...
Regards
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
<mailto:[log in to unmask]>
mailto:[log in to unmask]
<http://www.1st-itpeople.com/> www.1st-itpeople.com
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Tue, 6 Dec 2005 09:55:34 -0000
Reply-To: Simon Ellis <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Ellis <[log in to unmask]>
Subject: JOB:Biostatistician Consultant
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
Dear Allstat
=20
Currently we are seeking an experienced Biostatistician to work on a
large Phase III cardiovascular Clinical trial.
The work will include specification and QC of SAS programs, ongoing
adhoc analysis, and assisting with the report writing for submission.
You will be working in a large team including 4 statisticians, SAS
programmers, Medical writers and Data managers.
=20
We are looking for someone with at least three years Statistical
analysis experience for either a pharmaceutical company or CRO. Ideally
you will have the combination of good analysis skills and reasonable SAS
programming experience.
=20
This is a 6 month contract based in Germany. The project is scheduled
to last all year so there is a strong chance of an extension. The rate
is dependant on experience but should be in the range of 65-75 euros per
hour.
=20
German language skills are not necessary.
=20
Please contact me for further details.
=20
=20
=20
Simon Ellis
Biometrics Recruitment
Tel. +44 (0) 1727 817626 (direct line)
Tel. +44 (0) 1727 811634
Fax. +44 (0) 1727 856594
[log in to unmask]
www.keypeople.co.uk
=20
=20
=========================================================================
Date: Tue, 6 Dec 2005 12:09:52 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Medical Statistician,
Trent Research and Development Support Unit
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
School of Medicine
Department of Health Sciences
Trent Research and Development Support Unit
Medical Statistician
Available immediately for three years
R&AIA Scale - =A320,044 to =A330,002 per annum
Ref: R2436
Trent RDSU requires a Medical Statistician to provide advice and support to=
=20
NHS researchers and academic colleagues, to help to deliver educational=20
courses, and to provide statistical support to several multi-centre trials=
=20
within the Ageing and Stroke Medicine Section of the Department of=20
Cardiovascular Sciences at Glenfield Hospital, Leicester.
Downloadable application forms and further particulars are available by=20
following the link below, or in hardcopy from Personnel Services, tel: 0116=
=20
252 5114, fax: 0116 252 5140, email:=20
<mailto:[log in to unmask]>[log in to unmask],=20
www.le.ac.uk/personnel/jobs. Please note that CVs will only be accepted in=
=20
support of a fully completed application form.
Closing date: 11 January 2006
Promoting equality of opportunity throughout the University
=========================================================================
Date: Mon, 5 Dec 2005 12:59:56 -0000
Reply-To: Thierry Chaussalet <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Thierry Chaussalet <[log in to unmask]>
Subject: Patient Safety Risk Management 22 Nov 2005
MIME-Version: 1.0
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Several people requested slides for the talks on "Patient Safety Risk =
Management" given at the last meeting ot the OR Society Health and =
Social Studies SIG
that took place on Tuesday 22 November 2005, 16:00-18:00 at 115 New =
Cavendish Street, Room C1.04, University of Westminster, London
The presentation slides for all three talks below are now available to =
download from our website at http://www2.wmin.ac.uk/hscmg/event.htm
Dr Naomi Price-Lloyd: School of Mathematics, Cardiff University, UK
"A Comparison of Mortality Rates of MRSA and MSSA in an ICU"
Prof Steve Gallivan: Clinical Operational Research Unit (Director), =
University College London, UK
"An Application of Triangles to Safety Research"
Dr Robert C. Lee: Calgary Health Technology Implementation Unit =
(Director), University of Calgary, Canada
"Risk Analysis and Risk Management in Cancer Therapy: It's not as simple =
as we first thought.."
Regards
-----------=20
Dr. T.J. Chaussalet
Reader, CSCS
Department of Information Systems
University of Westminster
115 New Cavendish Street
London W1W 6UW
Tel: +44(0)207 911 5000
Email: [log in to unmask]
http://www2.wmin.ac.uk/hscmg
-----------=20
PLEASE READ: This e-mail and its attachments are intended for the above
named only and may be confidential. If they have come to you in error =
you
must not copy or show them to anyone, nor should you take any action =
based
on them, other than to notify the error by replying to the sender.
Any views expressed in this message are those of the individual sender,
except where the sender specifically states otherwise.
=========================================================================
Date: Tue, 6 Dec 2005 13:03:00 -0000
Reply-To: "Payne, Bradley" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Payne, Bradley" <[log in to unmask]>
Subject: HEA Day Break Course 2006 - Best Practice in Tutorials and
Practicals
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Content-Type: text/plain; charset="iso-8859-1"
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The following course will be of interest to anyone involved in the =
teaching of statistics. Please register early to guarantee a place.=20
Course: Best Practice in Tutorials and Practicals=20
Thursday 19th January 2006
A One-Day Workshop at the RSS Offices, London
by Paul Baxter & Stuart Barber from The University of Leeds
Synopsis
Small group tutorials are an important part of many elementary =
undergraduate statistics courses; the trend towards large lecture groups =
means they often provide the only real opportunity to give individual =
help and guidance. However, students do not always take advantage of =
this opportunity. Moreover, postgraduate students who act as tutors =
sometimes feel ill-prepared for this important role. We aim to share =
practical advice on making the most of tutorials and encouraging student =
interaction.
Practical sessions (often involving the use of a computer and real data) =
can be a key feature of undergraduate statistics at all levels; when =
used effectively they help to set the material in context and motivate =
student learning. Designing and running a successful practical is not =
straightforward. The examples need to be challenging and realistic, yet =
technicalities and computing issues should not distract from the =
underlying concepts. We aim to discuss the components of good practicals =
across the undergraduate curriculum.
Both topics will be illustrated by a wide range of examples, and =
delegates will be invited to discuss their own experiences with the rest =
of the group. The session is targeted at academic staff who design =
tutorials and practicals, and the postgraduates that help to run them.
Provisional Timetable
10.00-10.15 Registration and Welcome
10.15-11.15 Tips and hints for running a tutorial
11.15-11.30 Coffee Break
11.30-12.30 Case studies
12.30-13.30 Lunch
13.30-14.30 What makes a good practical?
14.30-14.45 Tea Break
14.45-15.45 Case studies
15.45-16.00 Discussion and Close
Cost: =A355 includes tea, coffee, lunch and course materials (discounts =
available for participants from same university/college/workplace - =
=A3100 for two, =A3140 for three)
Registration: Contact Brad Payne on 0115 8488410 or email =
[log in to unmask] <mailto:[log in to unmask]>=20
(Please state if you have any special dietary requirements)
Biopics:
Paul Baxter is a lecturer in Statistics in the School of Mathematics at =
the University of Leeds. He takes an active interest in issues of =
learning and teaching, and has recently written an article for the =
newsletter of the Maths, Stats and OR Network. He has experience of =
teaching undergraduates from mathematical and non-mathematical =
backgrounds, as well as short courses designed for industry, commerce =
and the public sector. He has recently undertaken consultancy work for =
West Yorkshire Police, and seeks to promote Statistics in his role as =
Secretary/Treasurer of the Royal Statistical Society Leeds/Bradford =
Local Group. His research interests include non-parametric regression =
using the wavelet transform, and statistical modelling in the =
environmental and physical sciences.
Stuart Barber is a lecturer in Statistics in the School of Mathematics =
at the University of Leeds with a keen interest in practical learning =
and teaching issues. He has taught statistics to mathematicians, =
medics, biologists and business students from foundation to masters =
levels as well to many practicing research scientists. Research =
interests are primarily wavelet methods in statistics, group sequential =
clinical trials and survival analysis.
This email is intended solely for the addressee. It may contain private =
and confidential information. If you are not the intended addressee, =
please take no action based on it nor show a copy to anyone. In this =
case, please reply to this email to highlight the error. Opinions and =
information in this email that do not relate to the official business of =
Nottingham Trent University shall be understood as neither given nor =
endorsed by the University.
Nottingham Trent University has taken steps to ensure that this email =
and any attachments are virus-free, but we do advise that the recipient =
should check that the email and its attachments are actually virus free. =
This is in keeping with good computing practice.
=========================================================================
Date: Tue, 6 Dec 2005 16:23:31 +0000
Reply-To: Roisin McCarthy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Roisin McCarthy <[log in to unmask]>
Subject: Senior Statistical Analyst
Dear All,
Datatech has the following requirement,
Senior Statistical Developer London to 50K plus benefits
This is a fantastic opportunity to utilise your statistical nature to its
full potential, within this marketing solutions consultancy.
You will work alongside a team of specialised statisticians and modellers
developing a range of data and targeting products.
Your responsibilities will include statistical analysis and data mining of
data sources, together with development of multivariate models and
segmentation.
You are a highly skilled statistician with experience of Customer/behaviour
modelling and ideally targeting of direct marketing.
This is a stretching and creative statistical opportunity, that will allow
you to take your career to the next level.
If you are interested in the above position you can contact me in
confidence or email me a copy of your CV. For details of more vacancies,
see our website at www.datatech.org.uk
Roisin McCarthy
Senior Consultant
Datatech
The Barn
Bartons Lane
Old Basing
Basingstoke
Hants
RG24 8AE
Tel: 01256 314 660
Fax: 01256 314 669
Email: [log in to unmask]
=========================================================================
Date: Tue, 6 Dec 2005 19:59:05 -0000
Reply-To: shirley coleman <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: shirley coleman <[log in to unmask]>
Subject: ENBIS-6 conference in Wroclaw, Poland
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The Sixth Annual ENBIS Meeting will take place 18-20 September, 2006, =
in Wroclaw, Poland.
Highlights include:
- Keynote address by dr. Roger Hoerl, manager of the Applied Statistics =
Lab at the Corporate Leadership and Development Center of General =
Electric; author of widely appreciated books on Six Sigma; and past =
chair of the Statistics Devision of the ASQ.
- Keynote address by Age Smilde, professor of biosystems data analysis =
at the University of Amsterdam; and programme manager analytical =
information sciences at the TNO Quality of Life institute.
- Presentation of the Box Award.
- Awards for Most Promising Young Statistician and Best Manager.
- Workshops on diverse topics, given by experts, and offered for a =
modest fee.
- Wroclaw is a beautifully restored city with an interesting history. =
See www.wroclaw.pl/ms/english .
The official Call for Papers will be sent out by January 2nd.
Regards,
Jeroen de Mast
Conference Chair
=========================================================================
Date: Wed, 7 Dec 2005 10:44:34 +0200
Reply-To: Mona Kanaan <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mona Kanaan <[log in to unmask]>
Subject: Query: References for multinomial/ordinal logistic models for
survey data- diagnostics/model selection
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Dear Allstat members,
I am looking for references that discuss diagnostics and model selection
(especifically non-nested models) techniques for multinomial/ordinal
logistic regression models using stratified and clustered survey data,
which would be fit to share with an audience that is statistically
literate (mainly non-statisticians).
Your help is much appreciated
Mona
--
*****************************************************
*Dr. Mona Kanaan *
*Department of Epidemiology and Population Health *
*Faculty of Health Sciences *
*The American University of Beirut *
*P.O. Box 11-0236, Riad El Solh 1107 2020 *
*Beirut, Lebanon *
*E-mail: [log in to unmask] *
*****************************************************
=========================================================================
Date: Wed, 7 Dec 2005 10:07:48 +0000
Reply-To: Rebecca CANNINGS <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rebecca CANNINGS <[log in to unmask]>
Subject: Reminder: Seminar RSS South Wales local group
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SEMINAR: RSS South Wales Local Group
***************************************************
The next seminar of the South Wales local group of the RSS is on Wednesday =
14th December at 5:00pm (4:30pm for tea/coffee and mince pies) at the =
Conference Room, Local Government Data Unit - Wales, 8 Columbus Walk, =
Cardiff.=20
Directions to the Data Unit can be found by following this link: http://www=
.dataunitwales.gov.uk/eng/ContactUs.asp=20
The speaker will be Andrew Garrett, Quintiles. "Switching between =
superiority and non-inferiority - is a coherent approach possible?".
The CHMP Points to Consider (Guideline) on Switching between Superiority =
and Non-inferiority is directed towards ensuring the most appropriate =
interpretation of the data from a randomised clinical trial at the time of =
analysis. Specifically it focuses upon the interpretation of the =
estimated confidence limits of the treatment difference. However given =
that it is only the conclusion drawn from the values of the confidence =
limits that may differ and not the confidence interval itself, there are =
some statistical conventions relating to the analysis of superiority and =
non-inferiority trials that must be addressed when estimating confidence =
limits. This talk will examine some the areas where the standard approach =
to statistical analysis might differ between superiority and non-inferiorit=
y. In each case, practical recommendations will be made to ensure that =
the approach to switching between superiority and non-inferiority is =
coherent.
* Confidence interval coverage
* Choice of analysis populations
* Accounting for missing values
* Covariate adjustment
ALL ARE WELCOME
Rebecca Cannings-John
Statistician
Cardiff University
Department of General Practice
Room 2F 15
Cardigan House
Wales College of Medicine
Heath Park
Cardiff=20
CF14 4XN
Tel: 029 2074 5105
www.uwcm.ac.uk/study/medicine/general_practice
=========================================================================
Date: Wed, 7 Dec 2005 10:42:57 +0000
Reply-To: Adrian Mander <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Adrian Mander <[log in to unmask]>
Subject: JOB: Statistician at MRC Collaborative Centre for Human Nutrition
Research, Cambridge, UK.
Mime-Version: 1.0
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MRC Collaborative Centre for Human Nutrition Research, Cambridge
Biostatistician, Ref: HNR/1105/9
MRC Collaborative Centre for Human Nutrition=20
Research (HNR) is dedicated to advancing=20
knowledge of the links between human nutrition=20
and health by conducting laboratory and community-based research.
A position is available in the Nutritional=20
Epidemiology section reporting to the Senior=20
Biostatistician Dr Adrian Mander. You will be=20
required to undertake statistical analysis and to=20
provide statistical advice in order to contribute=20
to the work of HNR. Experience of nutritional=20
research and/or handling of dietary data would be an advantage.
You will be expected to have a master=92s degree or=20
PhD in statistics or related subject with=20
significant experience in using biostatistical=20
principles, including experience in the design of=20
research studies and investigations.
This is a permanent position with a likely=20
starting salary in the range of =A324,746 - =A327,376=20
per annum, depending upon qualifications and=20
experience. This is supported by a flexible pay=20
and reward policy and competitive terms of=20
employment (30 days annual leave, plus 2.5=20
privilege days in addition to bank holidays, an=20
optional MRC final salary pension scheme,=20
excellent working conditions and free on site car parking).
For further details please refer to our web page
http://www.mrc-hnr.cam.ac.uk. Alternatively,=20
please contact Adrian Mander by email=20
[log in to unmask] or by telephone +44 (0)1223 426356.
To apply, please quote job reference=20
HNR/1105/9 and send a covering letter and full=20
CV, stating the names and addresses of two=20
professional referees who can be approached prior=20
to interview. Email your application to=20
[log in to unmask] or post to:=20
Recruitment Office, Personnel Department, MRC=20
Centre, Hills Road, Cambridge, CB2 2QH.
Closing date: 30 December 2005
Interviews will take place at the end of January 2006
=========================================================================
Date: Wed, 7 Dec 2005 11:33:47 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Damien McElvenny <[log in to unmask]>
Subject: JOBS: Statistician Posts, Health & Safety Executive, Merseyside,
UK
MIME-Version: 1.0
Content-type: text/plain; charset=iso-8859-1
Content-transfer-encoding: quoted-printable
Client:=20HSE
Date:=2022=20November=202005
How=20many=20lives=20are=20you=20saving?
Make=20your=20results=20really=20count!
Statisticians:
Band=202=20(up=20to=202=20posts)=20-=20starting=20salary=20range=20=A336,8=
84=20-=20=A339,500
Band=204=20(1=20post)=20-=20starting=20salary=20range=20=A321096=20-=20=A3=
21,660
Location:=20Bootle,=20Merseyside,=20UK
The=20Health=20and=20Safety=20Executive=20exists=20to=20ensure=20the=20pro=
per=20control=20of
workplace=20risks,=20safeguarding=20the=20safety=20and=20well-being=20of=20=
the=20entire=20UK
workforce=20and=20the=20public=20at=20large.=20=20Our=20track=20record=20i=
s=20impressive,=20giving
Britain=20one=20of=20the=20safest=20industrial=20cultures=20in=20the=20wor=
ld;=20and=20our
attention=20is=20turning=20now=20towards=20work-related=20ill-health=20and=
=20risk
prevention.
The=20shift=20in=20emphasis=20is=20reflected=20in=20our=20strategic=20Revi=
talising=20Health=20and
Safety=20programmes=20-=20targeting,=20for=20example,=20chemicals,=20const=
ruction=20and=20the
public=20sector=20-=20and=20puts=20our=20analytical=20and=20statistical=20=
thinking=20at=20the
heart=20of=20policy.=20=20To=20meet=20changing=20expectations,=20the=20Exe=
cutive's=20Corporate
Science=20and=20Analytical=20Services=20Directorate=20(CoSAS)=20is=20unify=
ing=20and
strengthening=20its=20statistical=20function,=20creating=20a=20centrally=20=
managed=20but
outward=20looking=20Statistics=20Branch=20that=20will=20work=20with=20proj=
ect=20teams=20in=20all
disciplines=20to=20provide=20statistical=20and=20epidemiological=20data,=20=
advice=20and
expertise.
For=20career=20statisticians,=20this=20is=20a=20superb=20opportunity=20to=20=
engage=20with=20an
organisation=20whose=20achievements=20produce=20real=20and=20tangible=20be=
nefits,=20in=20work
that=20is=20intellectually=20stimulating,=20challenging=20and=20varied.=20=
=20Excellent
analytical=20skills=20are=20essential,=20naturally,=20but=20this=20is=20al=
so=20an=20environment
that=20will=20call=20on=20your=20ability=20to=20develop=20as=20a=20relatio=
nship=20builder,
communicator=20and=20influencer=20both=20within=20HSE=20and=20further=20af=
ield.
Applicants=20must=20have=20a=20good=20honours=20degree=20or=20postgraduate=
=20qualification=20in
Statistics,=20ideally,=20or=20a=20closely=20allied=20discipline=20with=20a=
=20substantial
statistical=20content;=20and=20between=20two=20and=20four-plus=20years'=20=
experience=20of
applied=20statistical=20analysis=20and=20interpretation=20which=20should=20=
have=20given=20you
a=20sound=20working=20knowledge=20of=20relevant=20IT=20tools=20such=20as=20=
SPSS,=20Stata=20or
Access.=20=20Other=20key=20requirements=20include=20confident=20written,=20=
spoken=20and
presentational=20communication=20skills=20and=20a=20flexible,=20creative=20=
and=20positive
approach=20to=20working=20within=20multidisciplinary=20teams.
You'd=20expect=20HSE=20to=20be=20at=20the=20forefront=20of=20good=20employ=
ment=20practice=20-=20and
you'd=20be=20right.=20=20We=20offer=20excellent=20support=20for=20professi=
onal=20development,=20a
competitive=20final=20salary=20pension=20scheme,=20and=20a=20family-friend=
ly=20employment
policy=20(including=20part-time=20and=20job-share=20options).
Most=20Civil=20Service=20posts=20are=20open=20to=20UK=20national;=20Common=
wealth=20citizens
[which=20includes=20British=20Dependent=20Territories=20citizens,=20Britis=
h=20National
(Overseas)=20and=20British=20Overseas=20Citizens];=20British=20Protected=20=
persons;=20EEA
national=20(including=20EFTA)=20of=20other=20Member=20States;=20and=20cert=
ain=20non-EEA
family=20members.
For=20informal=20enquiries=20about=20these=20posts,=20please=20contact=20J=
ohn=20Hodgson=20on
0151=20951=204566,[log in to unmask]
tevens=20on=200151
951=204607,[log in to unmask]
For=20a=20detailed=20application=20pack,=20please=20contact=20Linzi=20Murt=
agh=20on=200151=20951
4259=20,[log in to unmask]
Closing=20date=20for=20applications:=20Wednesday=2021=20December=202005.
Damien=20McElvenny=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=
=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20=20Tel:=20+=
44=20(0)=20151
951=203352
Head,=20Cancer=20and=20Asbestos=20Section=20=20=20=20=20=20=20=20Fax:=20+4=
4=20(0)=20151=20951=204703
Epidemiology=20&=20Medical=20Statistics=20Unit=20=20=20=20Email:
[log in to unmask]
Statistics=20Branch
Health=20&=20Safety=20Executive
Magdalen=20House,=20Stanley=20Precinct
Bootle=20=20Merseyside=20L20=203QZ=20=20UK
**************************************************************************=
*********
Please=20note:=20Incoming=20and=20outgoing=20e-mail=20messages=20are=20rou=
tinely=20monitored=20for=20compliance=20with=20our=20policy=20on=20the=20u=
se=20of=20electronic=20communications.
Interested=20in=20Occupational=20health=20and=20safety=20information?
Please=20visit=20the=20HSE=20website=20at=20the=20following=20address=20to=
keep=20yourself=20up=20to=20date.
www.hse.gov.uk
**************************************************************************=
*********
The=20original=20of=20this=20email=20was=20scanned=20for=20viruses=20by=20=
the=20Government=20Secure=20Intranet=20(GSi)=20virus=20scanning=20service=20=
supplied=20exclusively=20by=20Cable=20&=20Wireless=20in=20partnership=20wi=
th=20MessageLabs.
On=20leaving=20the=20GSi=20this=20email=20was=20certified=20virus-free
=========================================================================
Date: Wed, 7 Dec 2005 15:10:15 +0000
Reply-To: David Elston <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Elston <[log in to unmask]>
Organization: BioSS
Subject: JOB: 2 senior positions in BioSS
MIME-Version: 1.0
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: quoted-printable
Principal Consultant: Animal Health & Welfare (Edinburgh)
Principal Consultant: Ecology & Environmental Science (Aberdeen)
BioSS offers two rewarding appointments for experienced statisticians=20
with enthusiasm for the provision of consultancy advice to, and=20
innovative collaborations with, research scientists. Post-holders will=20
manage small teams of consultants supporting research funded by the=20
Scottish Executive, conduct applied strategic research in statistical=20
methodology and/or mathematical modelling, and develop a portfolio of=20
contract research and consultancy.
Starting salary will be in the range =A334 - =A340k, plus public sector p=
ension.
Applicants must have at least six years experience of collaboration with=20
scientists and innovation in applied statistics / stochastic modelling,=20
substantiated by a good record of applied research publications.=20
Experience of staff and project management would be a distinct advantage.
BioSS provides a lively and supportive environment for consultancy and=20
research in which mathematical and statistical expertise is applied to=20
provide innovative solutions to problems in agriculture, the environment=20
and public health.
For further details of both posts, see http://www.bioss.ac.uk/vacancies.h=
tml
To discuss the posts contact BioSS Director David Elston (+44 (0)1224=20
498255; [log in to unmask]).
CLOSING DATE 20 January 2006
BioSS is formally a part of Scottish Crop Research Institute, an equal=20
opportunities employer grant-aided by the
Scottish Executive Environment and Rural Affairs Department
=========================================================================
Date: Wed, 7 Dec 2005 18:00:01 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Senior Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - Senior Statistician
=20
Salary: GBP 45ph +=20
=20
Business Type: Pharmaceutical Company=20
=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
A 6-month contract involving work on a regulatory submission, including
multivariate analysis. This will also include the running a phase I and
a phase III study. The roll will start from Jan 06 and include a hand
over before Christmas. Candidate require 4+ years in clinical statistics
with a post grad qualification and available to start ASAP.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV quoting the
reference grv-4354.=20
=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 8 Dec 2005 09:21:39 -0000
Reply-To: "Fox, Steven" <[log in to unmask]>
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<[log in to unmask]>
From: "Fox, Steven" <[log in to unmask]>
Subject: please unsubscribe.
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Regards
Steven Fox
LEGAL NOTICE
This message is confidential and contains information which may be legally privileged. It is intended for the stated addressee(s) only. Access to this email by anyone else is unauthorised. If you are not the intended addressee, any disclosure or copying of the contents of this email or any action taken (or not taken) in reliance on it is unauthorised and is unlawful. If you are not the addressee, please inform the sender immediately.
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Date: Thu, 8 Dec 2005 09:28:38 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: SEMINARS / NETWORKING EVENTS 2006
In-Reply-To: <[log in to unmask]>
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Hi there,
I've just read Rebecca's message about the RSS South Wales Local Group
Seminar and wondered if any of you know about any seminars or network
events coming up in 2006 that may be looking for company sponsorship?
Please let me know as we are currently populating our events calendar for
next year.
Kind Regards
Karen Stone
Sourcing Specialist
Sourcing Solutions UK, GSK Recruitment Shared Services
GSK House, 980 Great West Road, Brentford, Middlesex, TW8 9GS
TEL: 0208 047 5324 FAX: 0208 047 0669
www.gsk.com
"do more, feel better, live longer"
=========================================================================
Date: Thu, 8 Dec 2005 10:00:51 -0000
Reply-To: John Quigley <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Quigley <[log in to unmask]>
Subject: Re: WORKSHOP ON BAYESIAN NETWORKS IN DEPENDABILITY
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Please note that the submission deadline has been extended for the =
workshop till Monday=20
the 19th of December.
Check the CFP: http://www.mfn.unipmn.it/~stefania/BND2006cfp.html
Details below.
-----Original Message-----
From: John Quigley=20
Sent: 05 December 2005 18:05
To: [log in to unmask]
Subject: WORKSHOP ON BAYESIAN NETWORKS IN DEPENDABILITY
--------------------------------------
CALL FOR PAPERS
---------------------------------------
WORKSHOP ON BAYESIAN NETWORKS IN DEPENDABILITY (BND2006)
co-located with the First International Conference on Availability,=20
Reliability and Security (AReS) ARES 2006
April, 20th - April, 22nd 2006
Vienna University of Technology (http://www.ares-conf.org/)
----------------------------------------
WORKSHOP CO-CHAIRS:
Stefania Montani, University of Piemonte Orientale
Hichem Boudali, University of Twente
----------------------------------------
WORKSHOP TOPICS:
Bayesian Networks (BN) have been proposed in the field of Artificial=20
Intelligence as a probabilistic framework for reasoning under uncertain=20
knowledge. The robustness and flexibility of this formalism are=20
demonstrated by the wide spectrum of real world problems in which they=20
have been successfully tested.
The area of dependability has to be included in the range of BN=20
application domains, since, in recent years, some works have started to=20
investigate the capabilities of this methodology in modeling and=20
analyzing complex and safety critical systems. In particular, with=20
respect to traditional dependability analysis formalisms, BN show an=20
increased modeling power: they allow to deal with multi-valued=20
variables, local dependencies among components, and noisy interaction=20
among component behavior in a natural way =13 three issues that can not =
be=20
easily accounted for by Fault Trees, for instance. In addition, a=20
general inference mechanism (combining prediction as well as diagnosis)=20
can be naturally performed on them, even if evidence is gathered during=20
analysis.
Several extensions of the BN formalism also appear to be of great=20
interest: among them Dynamic BN and temporal BN in general for dealing=20
with dynamic system behavior, and object-based representations for=20
dealing with parametric representations.
The goals of this workshop will be to:
- collect present approaches to dependability applications of BN;
- show case studies and practical experiences;
- provide a forum for discussion of trends, research issues and=20
opportunities of co-operation among different groups.
Topics of interest will include (but are not limited to):
- BN for modeling and analyzing safety critical systems
- BN and BN extensions for modeling and analyzing systems showing=20
complex dependencies
- comparisons among the application of BN and other more classical=20
methodologies
- comparisons among different BN approaches to dependability problems
- case studies in using BN for dependability analysis
- use of BN to structure elicitation of expert judgment
---------------------------------------
SUBMISSION GUIDELINES:
Contributors should submit PDF papers of at most 5 pages (IEEE Computer=20
Society Proceedings Manuscript style: two columns, single-spaced),=20
including figures and references, using 10 fonts. Author Guidelines are=20
available on the web at http://computer.org/cspress/instruct.htm
The abstract and full paper have to be submitted via the ARES website
(http://www.ares-conf.org/myreview/SubmitAbstract.php
http://www.ares-conf.org/myreview/SubmitPaper.php)
Proceedings of the ARES workshops will be published by IEEE Computer=20
Society Press.
-----------------------------------------
IMPORTANT DATES:
December 14th 2005: deadline for paper submission
January 20th 2006: notification of acceptance
February 1st 2006: camera ready copy due
-----------------------------------------
WORKSHOP COMMITTE:
Joanne Bechta Dugan, University of Virginia
Marc Bouissou, Electricite=19 de France
Helge Langseth, Sintef, Norway
Luigi Portinale, University of Piemonte Orientale
John L. Quigley, University of Strathclyde, Glasgow
Luis E. Sucar, Istituto Tecnologico y de Estudios Superiores de =
Monterrey
Philippe Weber, Universit=C3'=C2=A9 Henri Poincar=C3'=C2=A9, Nancy
------------------------------------------
CONTACT PERSONS:
Stefania Montani (co-chair)
Dipartimento di Informatica
University of Piemonte Orientale
Via Bellini 25/g
I-15100 Alessandria, Italy
Tel: +39 0131 360158
Fax: +39 0131 360198
e-mail: [log in to unmask]
Hichem Boudali (co-chair)
University of Twente
Department of Computer Science
P.O. Box 217, 7500 AE Enschede, The Netherlands.
email: [log in to unmask]
=20
=========================================================================
Date: Thu, 8 Dec 2005 10:15:18 -0000
Reply-To: David Cox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Cox <[log in to unmask]>
Subject: FW: AD for STATISTICIAN/PSYCHOMETRICIAN ? Research & Development
(competitive salary + benefits)
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=========================================================================
Date: Thu, 8 Dec 2005 10:47:47 -0000
Reply-To: Helena Romaniuk <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Romaniuk <[log in to unmask]>
Subject: JOB: Research Officer - Local Context Analysis of Sure Start,
Health
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
Institute for the Study of Children, Families and Social Issues (National
Evaluation of Sure Start)
Research Officer - Local Context Analysis of Sure Start, Health
Part-time, 17.5 hours per week
Sure Start local programmes is a Government initiative which aims to improve
the physical, social and intellectual development of children under 4 years
old and their families living in economically disadvantaged communities.
The following fixed-term post will join the 50+ person national evaluation
project team.
You will work under the direction of the Director of the Local Context
Module at the Office for National Statistics to analyse birth and infant
mortality data and collect, clean and analyse child health indicators from
Child Health Systems throughout England, summarising the data at the level
of Sure Start Local Programmes. You will be based primarily at the Office
for National Statistics (ONS), Pimlico, with some time spent at the Birkbeck
campus.
Applicants should preferably have a higher degree (MSc) in psychology or a
social science; have the ability to work with large datasets; and the
ability to analyse using a range of statistical methods. You should be able
to manipulate databases, be familiar with SPSS and Excel, and be able to
write clearly about the results of statistical analyses.
Salary will be #11,246 rising to #15,639 per annum on Grade RA1A of the
Research Salary Scales.
Download the job description and application form by clicking on 'Further
details' below OR please send an A4 sae quoting ref: APS592, to Human
Resources, Birkbeck, Malet Street, Bloomsbury, London, WC1E 7HX or email
[log in to unmask]
Closing date: 22nd December 2005
Birkbeck is an equal opportunities employer.
=========================================================================
Date: Thu, 8 Dec 2005 12:24:24 +0000
Reply-To: phil scarf <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: phil scarf <[log in to unmask]>
Subject: Lectureship in OR/Stats--University of Salford
Comments: To: [log in to unmask]
Mime-Version: 1.0
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University of Salford
LECTURER IN OPERATIONAL RESEARCH/APPLIED STATISTICS
=A324,352-36,959
Applications are invited for a lectureship in the School of
Accounting, Economics & Management Science, University of
Salford, from suitably qualified applicants. The successful applicant
will contribute to both the research activity within the OR and
Statistics group, rated 5 by the Statistics and OR Panel at the
2001 Research Assessment exercise, and to the teaching of a
wide range of undergraduate and postgraduate courses in
Operational Research and Statistics.
More details are available in the further particulars.
Informal enquiries may be made to:
Professor K. A. H. Kobbacy, e-mail: [log in to unmask],
tel: 0161 295 3785,
Professor B.C. Dangerfield, e-mail: [log in to unmask],
tel: 0161 295 5315.
For further particulars and an application form, visit the personnel
website and apply online at www.personnel.salford.ac.uk, or call
0161 295 2122 (24 hrs) or e-mail: [log in to unmask] quoting
reference number: AEMS/52.
Applications should be returned by 20th December.
The University of Salford is committed to an inclusive approach to
promoting equality and diversity. We welcome applications from
people from minority ethnic backgrounds and people with
disabilities.
=========================================================================
Date: Thu, 8 Dec 2005 14:36:26 +0000
Reply-To: Jonathan Rougier <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jonathan Rougier <[log in to unmask]>
Organization: Maths Dept., Univ. of Durham
Subject: SEMINAR: RSS North East Group, Tuesday 13 December
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The Christmas seminar of the RSS-NE Local group takes place next week,
Tuesday 13 December, 5.30pm, Durham, in room CY60 (previously CG60) on
the Science Site.
Jonathan Rougier will talk about
"Uncertainty and Climate: A Statistician's View"
Synopsis: Our predictions for future climate, and in particular the ways
in which it will respond to increasing levels of atmospheric greenhouse
gases, depend to a large extent on the evaluation of computer-based
climate simulators. Statisticians have been studying this type of
inference for many years, under the general heading of Computer
Experiments. Long-term climate prediction presents three particular
challenges:
1. The simulators are very expensive to evaluate;
2. They are generally quite poor at representing climate at the
regional level (which is where most of the interest resides);
3. Lots of interesting things could happen in the next 100 years (eg
in technology, economics and demographics).
We look at the ways in which these problems contribute to our
uncertainty about future climate.
To be followed by mince pies and ginger wine. All welcome; more details
from John Little ([log in to unmask]), tel 0191 334 3117.
=========================================================================
Date: Thu, 8 Dec 2005 14:47:24 +0000
Reply-To: Malcolm Morrissey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Malcolm Morrissey <[log in to unmask]>
Subject: Educational and interactive ePRO Webinar-Free registration
Mime-Version: 1.0
Content-Type: text/plain; format=flowed
Dear colleagues,
As statisticians we should all take an interest in how data are collected
and increasingly patient outcome (ePRO) data are being collected over the
phone or web. How are such data collected and validated may be of interest
to some of you
Please find details below of two free webinars on innovative ePRO trials.
Mon 12th Dec 2005: 3:00 pm UK time (10:00 am US East Coast time)
Tue 13th Dec 2005: 7:00 pm UK time (2:00 pm US East Coast time)
Our educational webinars are free, non-commercial and interactive. If
interested please register at the link below and there is no need to reply
direct to me.
www.clinphone.com/webinars
Further details can be found below or by following the link.
KR
Malcolm Morrissey
Statistician
Clinphone Group Ltd
www.clinphone.com
ePro: Innovative ePro Trials and the FDA: The Age of Electronic Patient
Diaries
In this era of innovation, there is a plethora of electronic collection
methods for Patient Reported Outcomes (PRO) including IVR, hand-held
devices, the World Wide Web and others. Well documented is the fact that
electronic collection of PRO data results in much improved data integrity,
assured timelines of PRO data records; superior, cleaner data requiring less
data management when compared to paper.
The FDA has recently approved several drugs on the strength of
patient-reported outcomes collected electronically. The agency has also
stated that they would accept electronic versions of several specific
clinical assessments as primary efficacy endpoints in trials. What are the
latest regulatory considerations that face sponsors using ePRO?
Technologies also offer new opportunities to collect onset of action data
and new methods to orient study subjects and elicit data from them. Dr. John
Greist of HealthCare Technology Systems will discuss new assessments and the
associated validation methods used.
While emerging technologies offer significant benefits, they also present
new challenges. This webinar will review these key issues and will present
case studies to illustrate how sponsors and vendors are addressing them.
At the conclusion of this webinar, attendees will understand:
Regulatory considerations in the use of ePRO
Models for use for ePRO systems
Newly developed ePRO assessments and data collection methods and the
associated validation data
Full agenda and registration details can be found at
www.clinphone.com/webinars
Mon 12th Dec 2005: 3:00 pm UK time (10:00 am US East Coast time)
Tue 13th Dec 2005: 7:00 pm UK time (2:00 pm US East Coast time)
=========================================================================
Date: Thu, 8 Dec 2005 15:01:53 -0000
Reply-To: Gillian S Taylor <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Gillian S Taylor <[log in to unmask]>
Subject: JOB: Senior Lecturer in Epidemiology or Medical Statistics
Edinburgh University
Comments: cc: Rosa Bisset <[log in to unmask]>
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I have been asked to post this message to the list. Please respond to the=
=20
contact
details below and not to me.
-------------------------------------------------------------------------=
-------------------
Community Health Sciences: Senior Lecturer in Epidemiology or Medical
Statistics
Applications are invited from suitably-qualified researchers (registered
medical practitioners or non medical) for the above post, which will be
based in Public Health Sciences, Division of Community Health Sciences at
the University of Edinburgh.
The successful applicant will have an established reputation for excellen=
ce
in epidemiological or medically orientated statistical research and show
clear potential to make a major contribution to the academic leadership o=
f
the Division.
The person appointed will be encouraged to draw on the excellent
opportunities for collaboration with both clinical and non-clinical
scientists. It is anticipated that the individual will further strengthen
one of the key research priority areas: cardiovascular disease, cancer,
genetic epidemiology/statistical genetics and clinical trials. However,
potential applicants with research interests and a strong research track
record in other priority areas for Public Health Sciences are also
encouraged to apply. Further information can be found at
http://www.chs.med.ed.ac.uk/phs
If a non-clinical candidate is appointed, appointment will be made on the
non clinical senior lecturer scale; =A338,685 - =A343,850. If a clinical
candidate is appointed, appointment will be made on the appropriate point=
on
the new consultant contract pay scale.
Informal enquiries should be addressed to: Professor Harry Campbell,
[log in to unmask] or telephone 0131 650 6984
Vacancy details are on
http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=3Dvacancies.detai=
l&vacancy_ref=3D3005330
=========================================================================
Date: Thu, 8 Dec 2005 15:50:22 -0000
Reply-To: Bernd Genser <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Bernd Genser <[log in to unmask]>
Subject: QUESTION: sample size for multivariate techniques
Comments: To: Allstat <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
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Dear all,
Does anybody know any books/references about sample size
calculations/recommendations
for multivariate statistical techniques (factor analysis, cluster analysis,
discriminant analysis, etc.)
and also for path analysis/structural equation modelling?
Many thanks
Bernd
=========================================================================
Date: Thu, 8 Dec 2005 16:11:18 -0000
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: Long term contract - BIOSTATISTICIAN -
=?iso-8859-1?Q?=A340-=A360h?= our DOE
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
=20
ROLE: Contract Biostatistician
LOCATION: South East
RATE: =A335-=A355/hour dependent on experience
Will wait for notice periods
PURPOSE AND MAJOR CHALLENGE OF JOB
* To provide statistical support and advice to Study Teams
* To provide peer review and statistical support to colleagues
* To collaborate with PK and other groups to the benefit of =
Experimental Medicine
PRIMARY DUTIES AND RESPONSIBILITIES
* Providing statistical input (protocol development, e-CRF review, SAP, =
database review, production of DV's, KSR, MSR, FSR and CSR review) as =
Statistician representative to Project Teams
* Performing statistical analysis
* Maintaining and archiving appropriate study documentation
* Performing peer review of statistical outputs e.g. SAP, CSR
* Providing presentations and support to colleagues
* Supporting the induction of new staff
* Communicating statistical methodologies and processes to achieve =
Experimental Medicine goals
* Setting high standards through personal achievement and communication
* Adhering to Credo values and supporting BCI goals and objectives
I look forward to your response.
Kind regards
Helena
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please note I work from home on Wednesdays - you can reach me on mobile =
number
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Thu, 8 Dec 2005 16:34:13 -0000
Reply-To: "Kulinskaya, Elena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kulinskaya, Elena" <[log in to unmask]>
Subject: Statistics Courses at Imperial College London
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STATISTICS COURSES at Imperial College London, until 31 March 2006.
An Introduction to Statistics Using SPSS.
The course is run over two half-days
Wednesday 25 January & Wednesday 01 February
1.30 - 4.30pm.
An Introduction to Statistics Using Matlab.
The course is run over two half-days
Wednesday 08 & Wednesday 15 February
2.00 - 5.00pm.
An Introduction to Statistics Using Stata.
Thursday 16 February
10.00 - 4.30pm.
The cost for each of the above courses is =A3150.00.
SPSS Easter School (Intro 2 days =A3250/ Intermediate 3 days =A3520, =
both =A3660).
Monday 27 - Friday 31 March
10.00 - 4.00pm.
The location for each course is: Imperial College London, South =
Kensington Campus: Room 410, Huxley Building, South Kensington Campus, =
London SW7 2AZ.
For further information please contact Richard on 0207 594 3856 or =
[log in to unmask]
Alternatively an application form and accompanying course outline can be =
downloaded from our web-site:
http://www3.imperial.ac.uk/portal/page?_pageid=3D43,1&_dad=3Dportallive&_=
schema=3DPORTALLIVE
=========================================================================
Date: Thu, 8 Dec 2005 17:52:52 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: Job: CONTRACT: SAS Programmer
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CONTRACT: SAS Programmer
=20
Salary: GBP 50-60ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Permanent=20
Location: Denmark=20
=20
Background:=20
=20
My client requires an experienced SAS programmer to join a team within a
specific therapeutic for an initial period of six months. Contracts are
due to be drawn ideally from Jan 06 with a good chance of extension.
Candidate require 4+ years pharmaceutical/clinical exposure as a SAS
programmer and be available to start before the end of Feb.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please complete the online application or contact us for
further information. Please quote reference 'grv-4451'.=20
=20
Contact Details
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
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the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 8 Dec 2005 17:56:01 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Senior Statistician
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CONTRACT: Senior Statistician
=20
Salary: GBP 50-60 ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Denmark=20
=20
Background:=20
=20
My client requires an experienced statistician to join a team within a
specific therapeutic for an initial period of six months. Contracts are
due to be drawn ideally from Jan 06 with a good chance of extension.
Candidate require 4+ years pharmaceutical/clinical exposure as a
Statistician and be available to start before the end of Feb.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date copy of your CV, quoting the
reference grv-4447=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 8 Dec 2005 18:36:55 -0000
Reply-To: Steffen Lauritzen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Steffen Lauritzen <[log in to unmask]>
Subject: Oxford Chair in Social Science Statistics
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A new Chair has been established in this area and we are actively
seeking strong applicants.=20
CLOSING DATE IS MONDAY, 16 JANUARY 2006.
See=20
http://www.admin.ox.ac.uk/ps/gp/current/http001.shtml
for further details.
Best regards
Steffen Lauritzen
--
Steffen L. Lauritzen
Department of Statistics, University of Oxford
1 South Parks Road, Oxford OX1 3TG, United Kingdom
Tel: +44 (0)1865 272877; Fax: +44 (0)1865 272595=20
email: [log in to unmask] URL: www.stats.ox.ac.uk/~steffen/
=========================================================================
Date: Thu, 8 Dec 2005 23:52:48 -0000
Reply-To: Jake Jackson-Smith <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Jake Jackson-Smith <[log in to unmask]>
Subject: JOB OPPORTUNITY: Head of Biostatistics, Modeling and Simulation
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Role: Head of Biostatistics, Modeling and
Simulation
Location: Germany
Company type: Pharma
Our client is one of the most innovative and exciting pharmaceutical
companies
operating in the global pharmaceutical market today.
Headquartered in the heart of Europe they are undergoing a period of
restructuring and development in order to better position themselves for
further
growth.
As a result of this process of expansion the client is now looking to
recruit an
exceptional candidate to take on the position of:
Head of Biostatistics, Modeling and Simulation
We are currently expanding our Development Organization and are seeking
candidates to fill the role of Head of Biostatistics, Modeling and
Simulation.
The incumbent for this role will lead the Biostatistics and Modeling and
Simulation Groups within the Development Organization.
The Head Biostatistics and Modeling and Simulations will play a key role
in
supporting both Science and Operations sections of Development with
his/her
team and be expected to play a major part in improving the efficiency
and
effectiveness of clinical development.
This position has broad responsibility for clinical trials PI-IV
conducted both in
Europe and the US.
He/she will lead and manage an international team of statisticians,
PK/PD
modeling experts in the Company; provide membership to various
International
Clinical Teams, assuring statistical expertise to the design, analysis
and reporting
of clinical programs and trials, as well as to International Project
Teams; support
the preparation of regulatory submissions; create innovative solutions
for the
Company's clinical programs and studies; ensure high scientific
standards for
studies; oversee analysis for product profiling.
In addition he/she will coordinate and manage outsourcing of operational
activities within Statistics and M&S and ensure the quality of all
operational
activities within Statistics and M&S.
Key Qualifications
Requirements include:
. an MSc or Ph.D. degree in Statistics, Mathematics or a relavent
scientific discipline
. at least 8 years of relevant experience in the field of clinical
trials, at least
3 years of which shall have been in a statistical leadership role within
a pharmaceutical or biotechnology company or at a Clinical Research
Organization, preferably within a global setting
. The successful candidate will have strong expertise in clinical trials
methodology; proven ability to develop and implement innovative
programs and processes; strong leadership, management and
organizational skills, and the demonstrated ability to build productive
relationships and teams internally and externally
. He/she will have a reputation as an open, available and transparent
communicator; excellent written and verbal communication skills; and
will
be a flexible, positive, creative thinker
. Fluency in English, both written and verbal is essential
If you feel that this position could offer you a chance to develop your
career then feel free to forward me a copy of your CV in order to
facilitate a further confidential discussion.
<http://www.aspirionpharma.com/>
Kind regards
Jake Jackson Smith
[log in to unmask]
Autus Consultancy
=========================================================================
Date: Fri, 9 Dec 2005 01:53:48 -0500
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Subject: Click Fraud Seminar
In-Reply-To: <003501c5fc0f$192855f0$05fa3fc1@IIDE0262>
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Data Shaping Solutions will present a seminar on click fraud in February
2006, in Seattle. The presentor, Dr. Granville, is the top expert in click
fraud detection. Exact location and time are not yet determined. If you
would like to participate, please contact us at [log in to unmask],
with "click fraud seminar" in subject line. The fee is $495 for the one-day
seminar.
ABSTRACT
How to Address Click Fraud in Pay-Per-Click Programs
The problem of click fraud and non valid clicks is nearly as old as
paid-per-click advertising. Only recently has it been acknowledged by major
search engine companies. It represents the most serious threat to the online
advertising industry. Although there is no formal definition to click fraud,
a good description can be found at datashaping.com/security.shtml.
We review various state-of-the-art solutions to address click fraud in
pay-per-click programs, including proprietary IP blacklists, entrapment,
ad-hoc design of experiment and detection of false positives. Our core
contribution is a scoring system tied to the advertiser's ROI and matching
conversion rate distributions.
New original fraud cases will be discussed, including impression and ad
relevancy fraud, automated clicks from shareholders and political activists,
and accidental click fraud generated by email spammers.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
=========================================================================
Date: Fri, 9 Dec 2005 11:11:23 -0000
Reply-To: Steffen Lauritzen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Steffen Lauritzen <[log in to unmask]>
Subject: Oxford Chair in Social Science Statistics
Comments: To: [log in to unmask], [log in to unmask]
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Sorry for sending this again, but the announcement has been moved so the
link I first gave was incorrect.
A new Chair has been established in this area and we are actively
seeking strong applicants.=20
CLOSING DATE IS MONDAY, 16 JANUARY 2006.
See=20
http://www.admin.ox.ac.uk/ps/gp/current/http004.shtml
for a brief announcement and
http://www.admin.ox.ac.uk/fp/profstats.shtml
for full details of the post.
Best regards
Steffen Lauritzen
--
Steffen L. Lauritzen
Department of Statistics, University of Oxford
1 South Parks Road, Oxford OX1 3TG, United Kingdom
Tel: +44 (0)1865 272877; Fax: +44 (0)1865 272595=20
email: [log in to unmask] URL: www.stats.ox.ac.uk/~steffen/
=========================================================================
Date: Fri, 9 Dec 2005 11:28:49 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: [log in to unmask]
Subject: James Murphy/BOOTLE/HSE is out of the office.
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I will be out of the office starting 09/12/2005 and will not return until
12/12/2005.
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Date: Fri, 9 Dec 2005 11:41:32 +0000
Reply-To: Heather Cordell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Heather Cordell <[log in to unmask]>
Subject: JOB: Lectureship in Statistical Genetics, Newcastle, UK
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Content-Type: TEXT/PLAIN; charset=US-ASCII
Lecturer in Statistical Genetics,
Institute of Human Genetics,
University of Newcastle upon Tyne, UK
-------------------------------------
This is a newly created post for an individual to contribute
to the design and analysis of various planned and ongoing
human complex disease genetics studies within the Institute,
while maintaining an active research program in the area of
development of statistical genetics methodology. Complex
trait genetics has been identified as a major research
priority at School and Faculty level, and substantial
investment in salaries and equipment has already been made.
This post is viewed as pivotal to the implementation of the
Institute's long term research strategy.
The ideal appplicant should have a PhD in Statistics/
Statistical Genetics/ Genetic Epidemiology or equivalent,
at least two year's relevant post-doctoral experience and
a good record of publications and achievements. Experience
of teaching and supervision of research students is essential.
The position will be heavily focused towards research and
with a teaching role related to postgraduate students.
For further information please contact Heather Cordell
([log in to unmask]) or John Burn ([log in to unmask]).
Closing date: 31 January 2006
Application forms and further details:
http://www.ncl.ac.uk/vacancies/vacancy.phtml?ref=A508A
=========================================================================
Date: Fri, 9 Dec 2005 08:38:16 -0500
Reply-To: "Peter C. Bruce" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Peter C. Bruce" <[log in to unmask]>
Subject: online course - Poker Probabilities
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For poker-playing statisticians:
King Yao will debut his online course =93Poker Probabilities=94 at=20
statistics.com Jan. 6 =96 Feb. 3. This course reviews the probabilities and=
=20
statistics of poker, specifically the popular game of Texas Hold=92em. Based=
=20
on the concept of expected value as applied to poker hands, the details of=
=20
calculating probabilities in all the key situations will be=20
covered. Putting these two elements together will enable players to=20
approach the game scientifically, maximizing their return. King Yao,=20
author of =93Weighing the Odds in Hold-Em Poker=94, was a successful=20
derivatives trader and market maker in equity, currency and commodity=20
options with Susquehanna Partners, retiring in 2000 to become a full-time=20
poker player and author.
Participants will have access to a private discussion board with the=20
instructor, weekly lessons, exercises and solutions. There are no set=20
hours =96 participate on a schedule that is convenient for you. Estimated=
=20
time required is 5-15 hours per week.
Details and registration at
http://www.statistics.com/content/courses/poker/index.php .
Peter Bruce, statistics.com=20
=========================================================================
Date: Fri, 9 Dec 2005 17:46:30 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: CONTRACT VACANCY: 3 x Statistical Programmer - Phase II-III Cardi
ovascular (1 year contracts)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
> Dear allstaters,
>
> please find attached the latest contract vacancies for you to review;
>
> TITLE: 3 x Statistical Programmer - Phase II-III Cardiovascular
>
> ROLE: Essential, 3 yrs+ minimum pharmaceutical / CRO experience, 3 yrs+
> minimum SAS programming experience, SAS v6.12, SAS/base, SAS/macro,
> SAS/stat & an understanding of the data management function within the
> pharmaceutical / CRO industries. Desirable, SAS/stat, study reporting, SAS
> v8 & any specific therapeutic experience in the areas of cardiovascular /
> CNS / contraceptives. Working within a specific phase II-III european
> trial, therapeutic area being cardiovascular, your duties will include;
> validation of computer programs, programming tables / summaries /
> listings, programming studies from a statistics perspective, programming
> master data sets for studies from a data management / statistics
> perspective, data QC of complex trials within data management, QC data
> against programmes & providing ad hoc programming support to the CNS /
> contraceptives clinical trials team. EXCLUSIVE ROLES WITH TELEPHONE
> INTERVIEW TIMES BOOKED FOR THIS WEEK..
>
> LOCATION: Mainland Europe
> CONTRACT LENGTH: 12 months+
> RATE: Dependant on experience
> START DATE: ASAP, but they will wait for notice periods
>
> If you interested in this role please feel free to contact me for further
> details at the earliest possible moment.
>
> Regards
>
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>
www.1st-itpeople.com <http://www.1st-itpeople.com>
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Fri, 9 Dec 2005 18:02:30 -0000
Reply-To: James Carrera <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: James Carrera <[log in to unmask]>
Subject: CONTRACT VACANCY: Statistical Programmer - FDA Submission Project
(3-6 months in Spain)
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
> Dear allstaters,
>
> please find attached the latest contract vacancy for you to review;
>
> TITLE: Statistical Programmer - FDA Submission Project
>
> ROLE: Essential, 2 / 3 years minimum statistical SAS programming within
> the pharmaceutical / CRO sectors, SAS/base, SAS/macro, statistical
> knowledge (although no formal qualification needed) & fluent in English.
> Desirable, SAS/stat & a command of the Spanish language. Working with this
> pharmaceutical client you be working on a phase II-III FDA submission
> project. Your duties will include; interpreting data from statistical
> analysis plans and producing tables / summaries / listings. INTERVIEW
> TIMES AWAIT.
>
> LOCATION: Spain
> CONTRACT LENGTH: 3-6 months+
> RATE: Dependant on experience
> START DATE: ASAP, but they will wait for notice periods
>
> If you interested in this role please feel free to contact me for further
> details at the earliest possible moment.
>
> Regards
>
James Carrera
European Contracts Manager
Pharmaceutical, Healthcare & CRO division
1st IT People
Tel: +44 (0) 207 255 6665
Mobile: +44 7717 578 246
Fax: +44 (0) 207 255 6656
mailto:[log in to unmask]
<mailto:[log in to unmask]>
www.1st-itpeople.com <http://www.1st-itpeople.com>
PLEASE NOTE: As of 31st May 2005 our office address will change to; 1st IT
People, 3rd Floor, Woolverstone House, 61-62 Berners Street, London. W1T
3NJ. As a result of this, we do have a new telephone number of 0207 255
6665. Please note our previous phone number will still work.
Offices in UK, Switzerland, The Netherlands & Hong Kong
This email is confidential and intended solely for the use of the individual
to whom it is addressed. Any views or opinions presented are solely those of
the author and do not represent those of the company from which the email
was sent. If you are not the intended recipient, be advised that you have
received this e-mail in error and that any use, dissemination forwarding,
printing or copying of this e-mail is strictly prohibited. While every
effort has been made to scan this e-mail, we can not accept any
responsibility for the loss of business or damage caused arising from this
email.
This email is confidential and intended solely for the use of the
individual to whom it is addressed. Any views or opinions presented are
solely those of the author and do not represent those of the company from
which the email was sent. If you are not the intended recipient, be advised
that you have received this e-mail in error and that any use, dissemination
forwarding, printing or copying of this e-mail is strictly prohibited.
While every effort has been made to scan this e-mail, we can not accept any
responsibility for loss of business or damage caused arising from this
e-mail.
=========================================================================
Date: Mon, 12 Dec 2005 14:48:01 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sabine Landau <[log in to unmask]>
Subject: JOB: Statistician at Institute of Psychiatry and Royal College of
Psychiatrists
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Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset="ISO-8859-1"
STATISTICIAN
We would like to invite applications for a junior statistician post. This=20
is a joint post between the Department of Biostatistics and Computing at=20
the Institute of Psychiatry and the Research and Training Unit of the=20
Royal College of Psychiatrists. The post holder will have particular=20
responsibility for giving statistical advice to postgraduate students at=20
the Institute of Psychiatry and will assist researchers in the analysis of =
complex data sets at the Royal College of Psychiatrists.
The successful candidate will have a strong statistical education, and=20
experience of statistical software packages such as SPSS, Stata or=20
R/S-PLUS is essential. Applications from recent master's graduates in=20
medical statistics would be particularly welcome.=20
Starting salary is in the range =A322,367 pa to =A332,325 pa (inclusive of =
=A32,323 pa London Allowance), depending on qualifications and experience.
To obtain further particulars and an application form please see the=20
Institute website at http://www.iop.kcl.ac.uk/vacancies or email=20
[log in to unmask] . Alternatively these documents can be obtained by =
writing to (please send a stamped self-addressed A4 envelope):
Human Resources Office, Box 007
Institute of Psychiatry
De Crespigny Park
London SE5 8AF
To apply, a completed application form should be emailed to=20
[log in to unmask] or sent to the above address.
Please quote ref. no 05/A56 in all correspondence. Closing date for=20
applications is the 13th January 2006. It is anticipated that interviews=20
will be held in the week beginning 30th January 2006.=20
Only candidates shortlisted for interview will be contacted.
=20
---------------------------------------------------------------------
Sabine Landau, PhD
Senior Lecturer in Biostatistics (Acting Head of Department)
Dept of Biostatistics & Computing, PO Box 20
Institute of Psychiatry, KCL
De Crespigny Park
London SE5 8AF, UK
Tel: +44(0)20 7848 0313
Fax: +44(0)20 7848 0281=20
=========================================================================
Date: Mon, 12 Dec 2005 20:03:35 +0000
Reply-To: John Logsdon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Logsdon <[log in to unmask]>
Subject: A SAS puzzle
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
I have some SAS output from PROC GLM but not access to the program. The
regression is, in R terms, y~gp1+gp2 where gp1 is a factor of 4 levels and
gp2 is a factor of 10 levels. The regression uses weights and these have
been normalised to add to the number of units, otherwise the scale
parameter is wrong.
The puzzle is why, when the X'X matrix is not singular, PROC GLM insists
on using a generalised inverse. There is no redundancy and there are, as
expected, 14 coefficients. I can invert the matrix and play all sorts of
games in R and the data are identical.
The coefficients do not correspond to the R results (obviously they are in
different order and SAS has dropped a different variable in place of the
intercept etc).
However the mean predictions do correspond exactly but the upper
prediction interval does not, which implies that SAS is calculating a
larger RMS error whereas the residual analysis, if anything, shows
something slightly smaller.
Can any SAS expert suggest (a) why it uses a generalised inverse and (b)
why the RMS error used should be different.
I have compared results from these two programs before and found them to
be exactly the same.
TIA
John
John Logsdon "Try to make things as simple
Quantex Research Ltd, Manchester UK as possible but not simpler"
[log in to unmask] [log in to unmask]
+44(0)161 445 4951/G:+44(0)7717758675 www.quantex-research.com
=========================================================================
Date: Tue, 13 Dec 2005 10:42:55 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Damien McElvenny <[log in to unmask]>
Subject: JOBS: Statistician Posts, Health & Safety Executive, Merseyside,
UK
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Client:=20HSE
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Date: Tue, 13 Dec 2005 11:31:17 +0000
Reply-To: Sara Geneletti <[log in to unmask]>
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<[log in to unmask]>
From: Sara Geneletti <[log in to unmask]>
Subject: Standardised registration ratio
Dear Allstaters,
does anyone know how the Standardis(z)ed registration ratio is calculated?
It is used in cancer epidemiology.
Thanks
Sara
=========================================================================
Date: Tue, 13 Dec 2005 11:38:42 -0000
Reply-To: "Valerie J. Walker" <[log in to unmask]>
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From: "Valerie J. Walker" <[log in to unmask]>
Subject: SSC Short Courses-January-Feb. 2006
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We are announcing four courses, which are scheduled to take place in =
January=20
and February, 2006. Summary information is given below.
For more detailed information and registration forms please see=20
http://www.reading.ac.uk/ssc/ providing your address and/or fax number, =
or=20
email [log in to unmask]
A Review of Basic Statistics
**********************
Dates: 31 January - 1 February 2006. Duration: 2 days. Price: 495 GBP.
(Fee of 720 GBP for attending this course together with Regression =
Analysis:=20
A Hands on Approach (31 January - 2 February).)
This course builds up the basic ideas of statistics systematically and=20
quickly. It provides an introduction to methods of summarising and=20
presenting data, estimation, confidence intervals and hypothesis =
testing.=20
Mathematical details will be kept to a minimum. A wide choice of=20
statistical software is available for practical work.
Regression Analysis: A Hands-on Approach
***********************************
Date: 2 February 2006. Duration: 1 day. Price: 270 GBP.
(Fee of 720 GBP for attending this course together with A Review of =
Basic=20
Statistics (31 January - 2 February).)
Regression is a powerful technique for studying relationships between=20
quantitative variables. Summarising relationships by the most =
appropriate=20
equation (modelling) is very quick when using a statistical package. It =
is=20
also easy to progress from basic models to more complex situations, such =
as=20
comparison of regressions.
This course gives a practical introduction to regression techniques.
Microsoft Excel for Statistics? What you can and cannot do
************************************************
Date: 22-23 February 2006. Duration: 2 days. Price: 495 GBP.
(Fee of 720 GBP for attending this course together with Taking Microsoft =
Excel Further: Macros for Data Management and Statistics (22-24 =
February).)
This course gives practical experience in the use of Excel for data =
summary=20
and presentation, and for other basic statistical work. It concentrates =
primarily on the areas where Excel really can excel. This includes=20
organising data, i.e. basic data management, tabulation using Excel's =
pivot=20
tables, and graphics. We also review Excel's facilities for statistical =
analysis and how add-ins or other statistical software can be used =
together=20
with Excel.
Taking Microsoft Excel Further: Macros for Data Management and =
Statistics
*************************************************************
Date: 24 February 2006. Duration: 1 day. Price: 270 GBP.
(Fee of 720 GBP for attending this course together with Microsoft Excel =
for=20
Statistics? What you can and cannot do? (22-24 February).)
The ease with which Excel can be extended is a welcome and useful =
surprise=20
for those who wish or need to use Excel for statistical work.
This one-day course introduces participants to ways of extending Excel =
using=20
macros and other features of Visual Basic for Applications (VBA). =
Examples=20
include simple programs to reorganise data and to perform statistical=20
calculations.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
=========================================================================
Date: Tue, 13 Dec 2005 12:03:22 +0000
Reply-To: John Logsdon <[log in to unmask]>
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From: John Logsdon <[log in to unmask]>
Subject: Another SAS question
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Can I ask another SAS question.
A common technique is to augment the data matrix with extra rows of values
for which prediction is required. The program (PROC GLM) removes those
rows with missing y-values before doing the sums but still calculates
fitted values and CLI confidence intervals.
But where there are weights involved, how are these handled? Normally the
weights will add up to the number of rows of the data matrix before
augmentation. But will SAS instead include the weights of the additional
rows when normalising the weights? Or will it (correctly) ignore them?
And when estimating a confidence interval for these augmented rows, what
will happen? Because normally you would not use weights when predicting
values - the weights are there because you believe some rows are more
important than others (eg a lower variance) and affect the calibration of
the model.
Or should the ESTIMATE command be used instead.
Can anyone point me to the appropriate part of the SAS manual that
describes what actually happens?
TIA
John
John Logsdon "Try to make things as simple
Quantex Research Ltd, Manchester UK as possible but not simpler"
[log in to unmask] [log in to unmask]
+44(0)161 445 4951/G:+44(0)7717758675 www.quantex-research.com
=========================================================================
Date: Tue, 13 Dec 2005 12:02:41 +0000
Reply-To: Oarabile Molaodi <[log in to unmask]>
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From: Oarabile Molaodi <[log in to unmask]>
Subject: help with writing function
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> I'm trying to write a function that takes a vector of length n and
> then takes the first value of the vector i.e j=1 and forms a new
> vector of length n (i.e replicate the first value n times). This
> function will then calculate the absoulte difference of the original
> vector and the new vector and store the results omitting the
> difference between the value and itself. This function should be able
> to repeat the procedure for each of the j's i.e j=2 to n. The results
> should all be stored together. Below is what I've tried so far but it
> seems to work only for j=1 .
>
> Your help will be highly appreciated.
> IED<-function(risk){
> n<-length(risk)
> i<-c(1:n)
> Diff<-numeric()
> for(j in 1:n){
> relrisk<-risk
> relrisk[i]<-relrisk[j]
> Difference<-abs(risk-relrisk)
> Difference<-Difference[-c(1:j)]
> Difference<-append(Diff,Difference)
> return(Difference)
> }
> }
>
>
> Oarabile
>
=========================================================================
Date: Tue, 13 Dec 2005 12:14:07 -0000
Reply-To: Abderrahim Oulhaj <[log in to unmask]>
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From: Abderrahim Oulhaj <[log in to unmask]>
Subject: Diff between Latent growth and random effect
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Dear All,
I would be grateful if someone could explain me what is the difference =
between the randon effect models and the latent growth curve models. For =
me they are equivalent ... It seems to me that the difference comes from =
the fact that these two models are used separate fields. If I am wrong, =
what can one model do and the other not...
Thanks a lot,
Abderrahim
=========================================================================
Date: Tue, 13 Dec 2005 13:42:36 +0000
Reply-To: Isabel Reading <[log in to unmask]>
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From: Isabel Reading <[log in to unmask]>
Subject: JOB: Statistician at MRC Epidemiology Resource Centre,
Southampton UK
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You attention is drawn to the job advert below. Please reply to the contact
details below and not to me.
University of Southampton
School of Medicine / MRC Epidemiology Resource Centre
Statistician
An opportunity now exists for a statistician to join a friendly team at the
Medical Research Council Epidemiology Resource Centre (ERC) in Southampton
(under the directorship of Professor Cyrus Cooper). The ERC aims to
explore the environmental causes, throughout life, of:
osteoporosis/sarcopenia; cardiovascular disease; and diabetes mellitus; and
to develop population-based and individual preventative strategies against
these disorders. Linked to the core work of the ERC are three programmes
to examine (1) the lifecourse determinants of osteoporotic fracture, (2)
maternal nutrition, fetal and childhood growth, and programming of
cardiovascular disease and type 2 diabetes in South Asians, (3) cultural
and psychosocial influences on illness and disability attributed to
occupational hazards. The ERC is associated with the University of
Southampton and uses their computing services.=20
You should possess a MSc in statistics or equivalent postgraduate
qualification. You will be involved with the analysis of large and complex
datasets using appropriate statistical techniques. Experience with Stata
would be desirable but not essential. The work will span a variety of the
ERC's core research areas and also involve analyses of phenotype-genotype
relationships in DNA-banks that have been established as part of the
Centre's cohort studies.
For informal enquiries contact Holly Syddall on 023 8077 7624 or e-mail
[log in to unmask]
The post is full-time and fixed-term for four years. Salary will be in the
range of =A323,457 - =A328,850 per annum dependent on qualifications and
experience
An application form and further particulars may be obtained from the Human
Resources Department (M), University of Southampton, George Thomas
Building, Highfield, Southampton SO17 1BJ, Tel: 023 8059 2750, e-mail:
[log in to unmask] or minicom: 023 8059 5595, alternatively visit our
website at www.jobs.soton.ac.uk. Closing date for applications 13/01/2006.
Please quote reference number 05M0378N .
Excellence Through Diversity
=========================================================================
Date: Tue, 13 Dec 2005 15:47:36 +0000
Reply-To: James Griffin <[log in to unmask]>
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From: James Griffin <[log in to unmask]>
Subject: CONFERENCE: Workshop on Bayesian Inference
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BAYESIAN INFERENCE IN COMPLEX STOCHASTIC SYSTEMS=20
May 28-30
University of Warwick=20
Keynote speakers
Jim Berger (ISDS, Duke University)
Alan Gelfand (ISDS, Duke University)
Ed George (The Wharton School, University of Pennsylvania)
Peter Muller (MD Anderson Cancer Centre, University of Texas)
Jon Wakefield (Department of Biostatistics, University of Washington)
Registration is now open.
There will be three related presentations for each keynote speaker and a =
poster session. Full details (including programme and confirmed speakers) =
are available at www.warwick.ac.uk/go/bicss .=20
=========================================================================
Date: Tue, 13 Dec 2005 15:50:07 +0000
Reply-To: Oarabile Molaodi <[log in to unmask]>
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<[log in to unmask]>
From: Oarabile Molaodi <[log in to unmask]>
Subject: Re: help with writing function
Comments: To: Martyn Byng <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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Martyn
Thanks for the help the function works. I used lower.tri() in
package(ape) to extract the Lower triangular portion of the matrix since
thats what I needed the func looks like this
Thanks to all who contributed-the function works.
IED <- function(risk) {
n <- length(risk)
mrisk <- matrix(rep(risk,n),ncol=n,byrow=T)
diff <- abs(risk - mrisk)
library(base)
keep <- lower.tri(diff)
c(diff)[c(keep)]
}
Thanks
Oarabile
Martyn Byng wrote:
> Hi,
>
> I am assuming this is in either R or SPlus ?
>
> In both of these packages it is best to avoid doing loops where
> possible, something along the lines of
>
> IED <- function(risk) {
> n <- length(risk)
> mrisk <- matrix(rep(risk,n),ncol=n,byrow=T)
> diff <- abs(risk - mrisk)
> keep <- matrix(T,nrow=n,ncol=n)
> diag(keep) <- F
> c(diff)[c(keep)]
> }
>
> seems to work.
>
> In your code I think it is the line
>
> Difference<-Difference[-c(1:j)]
>
> that is at fault, this drops the first j elements from Difference,
> which is Difference[j] - Difference[j] only for j = 1
>
> Hope that helps
>
> Martyn
>
> Oarabile Molaodi wrote:
>
>>> I'm trying to write a function that takes a vector of length n and
>>> then takes the first value of the vector i.e j=1 and forms a new
>>> vector of length n (i.e replicate the first value n times). This
>>> function will then calculate the absoulte difference of the original
>>> vector and the new vector and store the results omitting the
>>> difference between the value and itself. This function should be
>>> able to repeat the procedure for each of the j's i.e j=2 to n. The
>>> results should all be stored together. Below is what I've tried so
>>> far but it seems to work only for j=1 .
>>>
>>> Your help will be highly appreciated.
>>
>>
>>
>>
>>> IED<-function(risk){
>>> n<-length(risk)
>>> i<-c(1:n)
>>> Diff<-numeric()
>>> for(j in 1:n){
>>> relrisk<-risk
>>> relrisk[i]<-relrisk[j]
>>> Difference<-abs(risk-relrisk)
>>> Difference<-Difference[-c(1:j)]
>>> Difference<-append(Diff,Difference)
>>> return(Difference)
>>> }
>>> }
>>>
>>>
>>> Oarabile
>>>
>>
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=========================================================================
Date: Tue, 13 Dec 2005 16:29:20 +0000
Reply-To: "[log in to unmask]" <[log in to unmask]>
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From: "[log in to unmask]" <[log in to unmask]>
Subject: JOB: Contract SAS Programmer
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Dear Allstaters
Job title: SAS Programmer
Job type: Contract
Start date: January 2006
Duration: 8 months (until end August 2006)
Rate: £45 per hour
Our client, one of the largest pharmaceutical companies in the world, require a SAS Programmer for
a contract lasting until end of August 2006. This also has a good chance of extension . The role
will be a mixture of primary programming and validation, for derived datasets, tables, figures and
data listings, for clinical trials. The company is based to the South West of London and 5 mins
walk from the train station with direct trains to London (30 Mins). Please send your CV or call for
further details.
Also, visit out website for other opportunities in the UK and Europe.
Primoris Contract Solutions Ltd
Tel: 07092 150054
http://www.primoriscs.co.uk
Email: [log in to unmask]
----=_NextPart_000_000B_7A576B78.90C6486D--
=========================================================================
Date: Tue, 13 Dec 2005 17:00:40 +0000
Reply-To: Elinor Curnow <[log in to unmask]>
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<[log in to unmask]>
From: Elinor Curnow <[log in to unmask]>
Subject: Matching datasets
Dear all,
I have a database of demographic and lifestyle data, bought in from a
third party, that I am trying to match to a consumer database. I am
currently using postcode, surname, initial and title (and subsets of
these) to match the 2 datasets. I use aggregated data for consumers that
can only be matched by postcode.
I would like to improve the number of 1-1 matches (no duplicates) I can
make between the 2 datasets and also decrease the number of matches made
only at postcode level.
I have full name and address available to me in both datasets, but not
gender or date of birth.
I have thought about Soundex codes for surnames to overcome data quality
issues.
Can anyone suggest a method/useful references that would achieve the
desired improvements, ideally using SAS or SQL?
Many thanks,
Elinor
=========================================================================
Date: Tue, 13 Dec 2005 17:34:36 -0000
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS Programmer
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CONTRACT - SAS Programmer
=20
Salary: EURO 75ph=20
=20
Business Type: Pharmaceutical Company=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
Your responsibility is to run programs and output for data management
and biostatistics for validation of data, for statistical contributions
of integrated study reports and for other programming requests. The
contract will start ASAP for an initial period of 6 months, based within
an easy commute from Amsterdam and requires a candidate with 18 months+
experience of Programming in SAS within the clinical arena. There is a
strong possibility of contract renewal with this organisation.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV, quoting the reference
grv3523 =20
=20
Contact Details
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
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=========================================================================
Date: Tue, 13 Dec 2005 17:37:46 -0000
Reply-To: George Vernon <[log in to unmask]>
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From: George Vernon <[log in to unmask]>
Subject: JOB: 2 x CONTRACT - Statistician, working from home
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=20
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Salary: GBP 50ph=20
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Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
I have an opening for a senior statistician to work for a global
pharmaceutical on a 3 month rolling contract. My client will offer
flexibility to work from home for a proportion of the contract with
start dates proposed ASAP. Candidates require 5+ years background in
statistics and the writing of Statistical Analysis Plans (SAPs) within a
pharma environment.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
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To please reply with an up to date CV, quoting the reference grv4190=20
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=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
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=========================================================================
Date: Tue, 13 Dec 2005 19:01:15 -0000
Reply-To: Chris Kershaw <[log in to unmask]>
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<[log in to unmask]>
From: Chris Kershaw <[log in to unmask]>
Subject: Next RSS Social Statistics Section Seminar "Queering Statistics"
-17 January 2007
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Royal Statistical Society Social Statistics Section
and the Social Research Association
Evening Seminar
17 January 2006, 5.00pm (Tea from 4.30pm)
Royal Statistical Society Headquarters, 12 Errol Street, London, EC1Y =
8LX
"Queering Statistics"
Issues associated with estimating the extent and nature of the lesbian, =
gay
and bisexual population=20
The passing of legislation such as the Employment Equality (Sexual
Orientation) Regulations 2003 and the Civil Partnership Act 2004 has led =
to
a growing need amongst policy makers and others for statistics which
describe the extent and nature of the lesbian, gay and bisexual =
population.
However there is a distinct lack of reliable and authoritative =
statistics
which describe this population in the UK. Given the wealth of other
socio-demographic data, such as the huge number of statistics on =
ethnicity
and socio-economic status, why is this the case? Is it due to =
political,
ethical, methodological or conceptual problems? And if so what are =
these
issues and can they be overcome? Or has there been a failure amongst
statisticians, researchers and their funding bodies to recognise and
acknowledge this particular group?
Attempting to estimate the extent of the lesbian, gay and bisexual
population in the UK brings together a number of distinct challenges =
that,
in combination, make this a uniquely difficult issue to address. This
evening seminar will seek to examine relevant survey and methodological =
work
carried out to date, address the questions posed above and spark debate
about the feasibility and desirability of producing estimates of the
lesbian, gay and bisexual population.
Panel - chaired by Jil Matheson, Office for National Statistics
Katherine Cowan, Stonewall
Heidi Grainger, Department for Trade and Industry
Ford Hickson, Sigma Research
Jeffrey Weeks, London South Bank University
=20
The seminar is free and pre-registration is recommended. You can =
register
by email: [log in to unmask] or by phone (020) 7638 8998. For a map =
and
directions see http://www.rss.org.uk/about/direction.html. The event =
ends
with a drinks reception at 6:30pm sponsored by TNS. The Royal =
Statistical
Society and Social Research Association look forward to welcoming you.
=20
=========================================================================
Date: Tue, 13 Dec 2005 23:07:59 +0000
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: R course
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
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Apologies for cross-posting.
We would like to announce the following course:
"An introduction to R".
When: 28-30 August 2006 (Monday-Wednesday).
Location: The Ythan hotel in Newburgh (UK). Newburgh is a small
coastal village 10 miles north of Aberdeen airport.
Host: Organised by Highland Statistics Ltd.
Price: 550 Euro for 3 days, excluding 17.5% VAT. The course fee
includes a copy of "Introductory Statistics with R" by P. Dalgaard.
You will need to bring you own laptop.
Accommodation is available at the Ythan hotel at a special rate of 35
UK pounds per night (including breakfast). Early booking is essential!
In this course, we teach how to use and program in the software
package R. It is also relevant for S-Plus users who wish to learn
script programming. The book "Introductory Statistics with R" from
Peter Dalgaard is used as course material. We discuss how to import
data into R, define vectors and nominal variables, make exploratory
graphs, and apply ANOVA and linear regression. We assume that course
attendants are familiar with the basic aspects of regression and ANOVA.
Registration: www.brodgar.com/statscourse.htm
Further info: www.brodgar.com
http://www.brodgar.com/courseinfo.htm
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: [log in to unmask]
URL: www.highstat.com
URL: www.brodgar.com
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate
analysis and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and
multivariate time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software
=========================================================================
Date: Tue, 13 Dec 2005 23:20:07 +0000
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: Course: GLM, GAM, GLS and mixed modelling
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
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Apologies for cross-posting
There are a few remaining places for this course.
Note that there is a time serious flavor in this course!!
We would like to announce a 5-day statistics course in Newburgh,
Aberdeenshire, UK
Maximum number of participants: 10
The course material is based on:
Zuur, AF, Ieno, EN and Smith, GM (Forthcoming). The Analysis of
Ecological Data. Springer-Verlag. 700p.
Course:
When: Monday 24 April until Friday 28 April 2006.
Where: Ythan hotel, Newburgh, Aberdeenshire, UK
Course: "Analysing Biological and Environmental Data -Using
Univariate Analysis-".
The main subjects of the course are GLM (Poisson and Binomial), GAM
(Poisson and Binomial), generalised least squares (adding an
auto-correlation structure on the data for time series) and mixed
modelling. We will also discuss data exploration and linear
regression (as a platform for GLM and GAM).
Open to: Anyone. This is a non-technical course for biologist.
Price: 600 Euro for students and 800 Euro per non-student. Prices are
excluding 17.5% VAT. The fee includes coffee and tea, course material
and a 1-year license for Brodgar. Early booking is recommended.
Further details and registration: http://www.brodgar.com/statscourse.htm
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: [log in to unmask]
URL: www.highstat.com
URL: www.brodgar.com
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate
analysis and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and
multivariate time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software
=========================================================================
Date: Tue, 13 Dec 2005 23:31:25 +0000
Reply-To: "Highland Statistics Ltd." <[log in to unmask]>
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<[log in to unmask]>
Comments: RFC822 error: <W> MESSAGE-ID field duplicated. Last occurrence
was retained.
From: "Highland Statistics Ltd." <[log in to unmask]>
Subject: Course in Houston, USA
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask], [log in to unmask],
[log in to unmask]
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Apologies for cross-posting
This is a pre-call for a 5-day stats course in Houston, USA.
When: December 2006.
Course subjects: GLM, GAM, GLS and mixed modelling
Note that there is a time serious flavor in this course!!
We would like to announce a 5-day statistics course in Houston, USA.
The course material is based on:
Zuur, AF, Ieno, EN and Smith, GM (Forthcoming). The Analysis of
Ecological Data. Springer-Verlag. 700p.
When: December 2006
Where: Houston, USA.
Course: "Analysing Biological and Environmental Data -Using
Univariate Analysis-".
The main subjects of the course are GLM (Poisson and Binomial), GAM
(Poisson and Binomial), generalised least squares (adding an
auto-correlation structure on the data for time series) and mixed
modelling. We will also discuss data exploration and linear
regression (as a platform for GLM and GAM).
Open to: Anyone. This is a non-technical course for biologist.
Price: 750 USD for students and 950 USD per non-student. The fee
includes coffee and tea, course material and a 1-year license for
Brodgar. Early booking is recommended.
Further details and registration: http://www.brodgar.com/statscourse.htm
Kind regards,
Alain Zuur
Dr. Alain F. Zuur
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Tel: 0044 1358 788177
Email: [log in to unmask]
URL: www.highstat.com
URL: www.brodgar.com
Our statistics courses:
1. "Analysing biological and environmental data using univariate and
multivariate methods".
2. "Analysing biological and environmental data using univariate methods"
3. "Analysing biological and environmental data using multivariate
analysis and multivariate time series analysis"
4. "An introduction to R"
Brodgar: Software for univariate and multivariate analysis and
multivariate time series analysis
Brodgar complies with R GNU GPL license
Statistical consultancy, courses, data analysis and software
=========================================================================
Date: Wed, 14 Dec 2005 01:32:43 +0000
Reply-To: Adaikalavan Ramasamy <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Adaikalavan Ramasamy <[log in to unmask]>
Organization: Cancer Research UK
Subject: Re: help with writing function
Comments: To: Oarabile Molaodi <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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1) Please state which software and version you are using.
2) Please give a short example of input and desired output.
3) Please learn to indent and space your codes to make it more readable.
The proposed function can be simplified into
IED <- function(risk) {
n <- length(risk)
mrisk <- matrix( rep(risk, n), ncol=n, byrow=TRUE )
diff <- abs(risk - mrisk)
diff[ lower.tri(diff) ]
}
Or you can further simplify/speed it using outer() function which
calculates the outer product of two arrays
IED2 <- function(risk){
o <- abs( outer( risk, risk, FUN="-" ) )
o[ lower.tri(o) ]
}
Here is a call and quick check that IDE and IDE2 produce same results.
sample.risk <- runif(10)
long <- IED ( sample.risk )
short <- IED2( sample.risk )
identical( long, short )
[1] TRUE
Regards, Adai
On Tue, 2005-12-13 at 15:50 +0000, Oarabile Molaodi wrote:
> Martyn
> Thanks for the help the function works. I used lower.tri() in
> package(ape) to extract the Lower triangular portion of the matrix since
> thats what I needed the func looks like this
> Thanks to all who contributed-the function works.
>
> IED <- function(risk) {
> n <- length(risk)
> mrisk <- matrix(rep(risk,n),ncol=n,byrow=T)
> diff <- abs(risk - mrisk)
> library(base)
> keep <- lower.tri(diff)
> c(diff)[c(keep)]
> }
>
> Thanks
> Oarabile
>
>
> Martyn Byng wrote:
>
> > Hi,
> >
> > I am assuming this is in either R or SPlus ?
> >
> > In both of these packages it is best to avoid doing loops where
> > possible, something along the lines of
> >
> > IED <- function(risk) {
> > n <- length(risk)
> > mrisk <- matrix(rep(risk,n),ncol=n,byrow=T)
> > diff <- abs(risk - mrisk)
> > keep <- matrix(T,nrow=n,ncol=n)
> > diag(keep) <- F
> > c(diff)[c(keep)]
> > }
> >
> > seems to work.
> >
> > In your code I think it is the line
> >
> > Difference<-Difference[-c(1:j)]
> >
> > that is at fault, this drops the first j elements from Difference,
> > which is Difference[j] - Difference[j] only for j = 1
> >
> > Hope that helps
> >
> > Martyn
> >
> > Oarabile Molaodi wrote:
> >
> >>> I'm trying to write a function that takes a vector of length n and
> >>> then takes the first value of the vector i.e j=1 and forms a new
> >>> vector of length n (i.e replicate the first value n times). This
> >>> function will then calculate the absoulte difference of the original
> >>> vector and the new vector and store the results omitting the
> >>> difference between the value and itself. This function should be
> >>> able to repeat the procedure for each of the j's i.e j=2 to n. The
> >>> results should all be stored together. Below is what I've tried so
> >>> far but it seems to work only for j=1 .
> >>>
> >>> Your help will be highly appreciated.
> >>
> >>
> >>
> >>
> >>> IED<-function(risk){
> >>> n<-length(risk)
> >>> i<-c(1:n)
> >>> Diff<-numeric()
> >>> for(j in 1:n){
> >>> relrisk<-risk
> >>> relrisk[i]<-relrisk[j]
> >>> Difference<-abs(risk-relrisk)
> >>> Difference<-Difference[-c(1:j)]
> >>> Difference<-append(Diff,Difference)
> >>> return(Difference)
> >>> }
> >>> }
> >>>
> >>>
> >>> Oarabile
> >>>
> >>
> >> ________________________________________________________________________
> >> This e-mail has been scanned for all viruses by Star. The
> >> service is powered by MessageLabs. For more information on a proactive
> >> anti-virus service working around the clock, around the globe, visit:
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> >>
> >
> > ________________________________________________________________________
> > This e-mail has been scanned for all viruses by Star. The
> > service is powered by MessageLabs. For more information on a proactive
> > anti-virus service working around the clock, around the globe, visit:
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>
=========================================================================
Date: Wed, 14 Dec 2005 12:37:47 +1100
Reply-To: Susan Gordon <[log in to unmask]>
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<[log in to unmask]>
From: Susan Gordon <[log in to unmask]>
Subject: Re: PHARMACEUTICAL STATISTICIAN - Working from Sydney Australia
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Hello,
I am a SEARCH consultant whom has been retained by a "top 10"
pharmaceutical business in order to attract UK/EU & US Statistician
skills for their operations in Australia.
At present I have opportunities for MSc Qualified applicants with a
minimum of 6 months - pharmaceutical statistician experience.
Our organization Daryl Alexander have been recruiting within the
specialist R&D, Pre-Clinical and Clinical markets for over 20 years and
can offer expertise and a network of contacts across Australia - to suit
your individual needs.
At present DAA have "exclusive access to 4 year, business 457 class,
sponsorship visa's" and I would welcome an opportunity to speak with any
professionals that may wish to pursue this opportunity of a lifetime.
Please do not hesitate to contact me via email in the first instance, I
am used to working with overseas applicants and can arrange a subsequent
telephone conversation at your convenience.
I look forward to hearing from you.
Kind Regards and Happy Christmas
(from Sunny Sydney)
Susan Gordon
Associate
Daryl Alexander
www.darylalexander.com.au
00 61 2 9416 0671
00 61 421 996 845 (mobile)
=========================================================================
Date: Wed, 14 Dec 2005 07:48:47 -0000
Reply-To: Nancy Barker <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Nancy Barker <[log in to unmask]>
Subject: ANNOUNCEMENT: PSI One day Meeting in Drug Development from
Pre-Clinical to Prrof of Concept
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To register for the meeting or if you have any further questions please =
see below for contact details.
=20
PSI (Statisticians in the Pharmaceutical Industry) are holding a one-day =
scientific meeting on "Drug Development from Pre-clinical to Proof of =
Concept" on the 22nd February 2006.=20
This meeting will cover the sequence of studies culminating in the Proof =
of Concept study. The strategy for designing the optimal sequence of =
studies, integrating pre-clinical and historical information will be =
discussed and specific examples presented.=20
=20
The agenda is as follows:=20
09.30 - 10.00 Registration=20
10.00 - 10.40 Proof of Concept: The translational step from drug =
discovery to the clinic, Mike Branson, Novartis
10.40 - 11.20 Prediction of Toxicity in Humans using Pre-clinical =
in-vivo and in-vitro data, Ann Cleverly, Lilly
11.20 - 11.40 Coffee=20
11.40 - 12.20 Fulfilling the Potential of Biomarkers: The Role of =
Modelling and Simulation, Scott Marshall, Pfizer=20
12.20 - 13.00 Developing PoM markers for cytostatic agents, David =
Wilson, AstraZeneca=20
13.00 - 14.00 Lunch=20
14.00 - 14.40 A Bayesian Design and Analysis for Dose-Response =
Using Informative Prior Information, Mike Smith, Pfizer=20
14.40 - 15.20 Model based design in proof of concept studies, =
In-Sun Knutsson, Novartis=20
15.20 - 15.40 Coffee=20
15.40 - 16.20 Proof of Concept - Title TBC , Graeme Archer and =
Nigel Dallow, GSK=20
=20
16.20 - 17.00 Discussion facilitated by Mike Branson=20
17.00 Meeting Closes=20
Venue: Browns Courtrooms, 82-84 St Martins Lane, Covent Garden, London, =
WC2N 4 AA=20
Registration: Please access the events page of the PSI website, choose =
this scientific meeting and download the registration form.=20
The website address is http://www.psiweb.org
Altenatively contact Ilsa Connolly at =
[log in to unmask]
Registration Costs (fee includes lunch and refreshments):=20
For registration before 18th January 2006:=20
PSI members - =A3129.25 (inc. =A319.25 VAT)=20
Non-members - =A3146.88 (inc. =A321.88 VAT)=20
For registration on or after 18th January 2006:=20
PSI members - =A3188.00 (inc. =A328.00 VAT)=20
Non-members - =A3205.63 (inc. =A330.63 VAT)
=========================================================================
Date: Wed, 14 Dec 2005 09:25:41 -0000
Reply-To: Andrew Fenyo <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Andrew Fenyo <[log in to unmask]>
Subject: Re: Matching datasets
Comments: To: Elinor Curnow <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
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Elinor,
I don't know about Microsoft SQL or SAS, but MySQL certainly has a SOUNDEX
function. Go to http://dev.mysql.com/doc/refman/5.0/en/index.html and then
search for SOUNDEX - it is the second link that explains its use.
Andrew
==============================
Andrew Fenyo, Senior Computing Officer
Personal Social Services Research Unit
University of Kent, Canterbury, CT2 7NF
Voice: 01227 827610 Fax: 01227 827038
PSSRU: http://www.pssru.ac.uk
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]]On Behalf Of Elinor Curnow
Sent: 13 December 2005 17:01
To: [log in to unmask]
Subject: Matching datasets
Dear all,
I have a database of demographic and lifestyle data, bought in from a
third party, that I am trying to match to a consumer database. I am
currently using postcode, surname, initial and title (and subsets of
these) to match the 2 datasets. I use aggregated data for consumers that
can only be matched by postcode.
I would like to improve the number of 1-1 matches (no duplicates) I can
make between the 2 datasets and also decrease the number of matches made
only at postcode level.
I have full name and address available to me in both datasets, but not
gender or date of birth.
I have thought about Soundex codes for surnames to overcome data quality
issues.
Can anyone suggest a method/useful references that would achieve the
desired improvements, ideally using SAS or SQL?
Many thanks,
Elinor
=========================================================================
Date: Wed, 14 Dec 2005 11:46:26 +0200
Reply-To: Evie Delicha <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Evie Delicha <[log in to unmask]>
Subject: sampling issues
In-Reply-To: <[log in to unmask]>
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Dear all,
I would like to draw to sample of 384 cases from the national population in
a proportionate stratified sampling scheme with 2 strata involved.
The problem is that the 1st strata has 16 categories and the 2nd strata has
2 categories. This results that in some areas i should sample very few units
e.g. 2-5 units.
Is there any method to adjust the sample size and increase it? Are there any
further suggestions, or you think that it is OK since that the final
analysis will not be analysed by region and therefore 384 cases are enough.
Any suggestions for further reading are more than wellcome and appreciated.
Evie
=========================================================================
Date: Wed, 14 Dec 2005 09:53:15 +0000
Reply-To: Colleen Mckay <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Colleen Mckay <[log in to unmask]>
Subject: Question: Proc Logistic in SAS
Hi,
I am using Proc Logistic in SAS to work out which independent variables in
may data set predict a binary dependent variable (predicting event=1,
meaning the probability of the event occuring).
The purpose of the model is not for prediction, but to guide which
varaibles are associated in contributing to the event occuring or not, so
therefore the parameter estimates are of prime importance rather than the
predicted probabilities. I am happy with my parameter estimates and they
seem to make sense and are in the expected direction but I am having
difficulty with the fit statistics.
I am using the lackfit option on the model statement (Hosmer & Lemeshow
goodness-of-fit test) which produces a chi-square value of 453.1406 with
df=8 and p<0.0001 indicating that the model is not a good fit. Also I am
using rsquare option on the model statement which produces an R-square of
0.1437 and a Max-rescaled R-square of 0.1976.
My question is that does it matter that the model does not seem to fit
that well? Are my parameter estimates valid to use? If not what modelling
strategies should I use, so that I get a better fit?
Thanks in advance
Colleen Spence
email: [log in to unmask]
=========================================================================
Date: Wed, 14 Dec 2005 10:29:20 +0000
Reply-To: David Elston <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Elston <[log in to unmask]>
Organization: BioSS
Subject: JOB: Statistical ecologist
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Senior Research Associate
Statistical Ecologist
Salary: =A322,289 to =A330,002 per annum=20
Ref: RA225
A Senior Research Associate opportunity is available to model=20
populations in a changing environment. This project, funded jointly by=20
NERC and English Nature as part of the UK Popnet initiative=20
www.ukpopnet.org, will involve using Baysian methods to fit models of=20
farmland bird populations to data from multiple sources.
The post-doctoral position is funded for up to 20 months. Candidates=20
must have a doctoral degree and experience of statistical modelling. The=20
project has PIs at the Universities of Aberdeen, Leeds and East Anglia;=20
the post could be located at any of these, with a preference for Aberdeen.
Informal enquiries can be made to Professor David Elston=20
[log in to unmask], Professor Xavier Lambin [log in to unmask]
Professor Tim Benton [log in to unmask] or Professor William=20
Sutherland [log in to unmask]
Closing date: 21 December 2005
Further particulars and an application form can be obtained from the=20
University of East Anglia web page at:=20
http://www.uea.ac.uk/personnel/jobs/ or by e-mail at:=20
[log in to unmask] or by calling the answerphone on 01603 593493 or by=20
mail to the Personnel Office, University of East Anglia, Norwich NR4 7TJ.
=========================================================================
Date: Wed, 14 Dec 2005 13:00:19 -0000
Reply-To: Helena Newman-Mitchell <[log in to unmask]>
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<[log in to unmask]>
From: Helena Newman-Mitchell <[log in to unmask]>
Subject: Job: Biostatistics Manager - Pharmaceutical
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Company: Mid-size Pharmaceutical client
Role:Biostatistics Manager
Type: Permanent
Salary: Dependent on experience
Location: Home Counties
Job Description
A Full Development Biosatistician Manager, supporting the development =
and registration of products in phase II/III, working in a =
cross-functional team, contributing to Clinical Development Plans, =
participating in protocol development, CRF and database review, =
production of Statistical Analysis Plans, performing statistical =
analysis and delivery and interpretation of results for Clinical Study =
Reports and other registration documents. Activities require close =
interaction with team members including clinician, project manager, =
medical writer, programmer and data manager.
Qualifications
Master's degree in Statistics / Biostatistics or equivalent discipline =
and at least 5 years of related experience; or PhD and at least 3 years =
of related experience. Good communication and presentation skills with =
the ability to communicate with non-statisticians to interpret =
statistical findings. Good organisational and problem-solving skills. =
Must work effectively in a team environment. Proficient with computers =
and software including SAS, Microsoft Word, Excel, Powerpoint. A good =
knowledge of Regulatory requirements and Clinical Data Management =
procedures is preferred.
For a confidential discussion please call Helena on 01438 743047 or =
email your cv to [log in to unmask]
Kind regards
Helena Newman-Mitchell
Biometrics Manager
CK Clinical Ltd
Richmond House
Walkern Road, Stevenage
SG1 3QP
T: 01438 743047
F: 01438 723800
M: 0777 5645187
mailto:[log in to unmask]
Please note I work from home on Wednesdays - you can reach me on mobile =
number
CONFIDENTIAL
The information contained in this email and any attachment is =
confidential.
It is intended only for the named addressee(s). If you are not the named =
addressee, please notify the sender immediately and do not disclose, =
copy or
distribute the contents to any person other than the intended =
addressee(s).
=========================================================================
Date: Wed, 14 Dec 2005 12:33:22 +0000
Reply-To: Frank Dudbridge <[log in to unmask]>
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<[log in to unmask]>
From: Frank Dudbridge <[log in to unmask]>
Subject: JOB: Postdoctoral statistician,
MRC Biostatistics Unit Cambridge UK
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The MRC Biostatistics Unit aims to advance medical science by the
development of statistical methodology. It is one of Europe's leading
biostatistics research institutions and comprises a number of
internationally renowned statisticians.
As part of the BSU's commitment to the EU Bloodomics Project, we are seeking=
an outstanding postdoctoral statistician with a background in genetics,
genomics or bioinformatics. This is a fixed term position to 31st May 2008
within MRC Band 4.
You will develop, modify and implement statistical methods for the design
and analysis of genomewide association and linkage studies, microarray and
cell function assays. The project is a unique opportunity to identify risk
genes for atherothrombosis in coronary artery disease via massive genomewide=
studies. You will be knowledgeable in statistical genetics and will have
experience of analyzing real data sets in collaboration with biomedical
scientists. Strong programming skills are required in both statistical and
general-purpose languages.
The starting salary is likely to be in the range of =A324,746 to =A325,766 p=
er
annum (depending on qualifications and experience), supported by a flexible
pay and reward policy, 30 days annual holiday entitlement and an optional
final salary MRC pension scheme. Excellent sports and social facilities are
also available on site.
Further details of the post are available from Peter Ilian, Unit
Administrator (tel: 01223 330397, email: [log in to unmask]).
Potential candidates wishing to discuss the position may do so by contacting=
Dr Frank Dudbridge, +44 1223 330300 [log in to unmask])or
Prof. Carlo Berzuini ([log in to unmask]) at the Biostatistics=
Unit in the first instance.
Applications should include a covering letter and a full CV with the contact=
details of two academic or professional referees who can be approached prior=
to interview.
Quoting job reference BSU/1005/13, please e-mail your application to:
[log in to unmask] or post to: Recruitment Office, Personnel
Department, MRC Centre, Hills Road, Cambridge, CB2 2QH.
Closing date: 3rd January 2006
Interviews will be held during the week commencing 16/1/06
=========================================================================
Date: Wed, 14 Dec 2005 14:05:42 +0000
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: No Name Available <[log in to unmask]>
Subject: Opportunity at GlaxoSmithKline, Southeast England
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Hi Everyone,
We are looking for a Healthcare Database Analyst with SAS experience to=20
work at our site in Greenford, Middlesex. If this is not the right place=20
to advertise for this skill set please let me know!=20
Thanks
Karen
Details below.....
MINIMUM REQUIREMENTS:
=B7 Bachelors Degree with ideally 7-10 years relevant experience.
=B7 Masters Degree highly preferred.=20
=B7 Formal training in statistics, epidemiology or a related=20
discipline and previous experience of analysing and reporting data from=20
clinical trials.
=B7 Previous SAS experience.
=B7 A good understanding of accessing, analyzing and reporting data=20
from observational databases.
=20
DETAILS:
GlaxoSmithKline?s Healthcare Information Factory (HIF) is a world-class=20
data repository with a dedicated team providing studies and analyses to=20
support GSK decision-making across drug development and commercialization=20
Following the recent decision to extend the role of the Healthcare=20
Information Factory team to encompass re-analysis of clinical trial data,=20
there are openings to build this capability for motivated and experienced=20
professionals. Analysts and scientists in the existing HIF team conduct=20
studies and projects for departments and matrix teams across GSK, based on =
the real-world (observational) data in the HIF: with the new capability,=20
the team will provide an analytical service based on multiple types of=20
patient data, both real-world and experimental.=20
This is a rare opportunity to play a leading role in an exciting new=20
venture making contributions across R&D.=20
KEY RESPONSIBILITIES:
=B7 Identify, define and conduct projects using in-house patient data=
=20
in collaboration with groups across GSK R&D=20
=B7 Ensure own and others' research projects are delivered on time, t=
o=20
protocol specifications and to high quality standards=20
=B7 Lead and contribute to initiatives for the development of the new=
=20
HIF function=20
TO APPLY:
For confidential consideration and efficient processing, please apply=20
online ? providing an indication of basic salary requirements - at:=20
http://careers.peopleclick.com/client=5Fgsk/BU1/External=5FPages=5FUK/newca=
ndidate.asp?Source=3DALL&JobID=3D83546
Please only apply by clicking on this link or by cutting and pasting it=20
into your web browser.
At GlaxoSmithKline we provide a supportive working environment, and a=20
range of development challenges and opportunities. We also offer=20
competitive benefits and compensation packages designed to attract and to=20
retain the very best.
Thank you for taking the time and effort to apply for this role. Please=20
note that we will only contact you again if you are invited to interview.=20
All data processed in accordance with the provisions of the Data=20
Protection Act.=20
GSK is proud to promote an open culture, encouraging people to be=20
themselves and giving their ideas a chance to flourish. GSK is an equal=20
opportunity employer. To enable GSK to meet it's commitment as a two ticks =
employer please let us know if you have a disability.
=========================================================================
Date: Wed, 14 Dec 2005 14:22:29 +0000
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
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SURVEY STATISTICIAN
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Survey Statistician. The post would involve work in=20
the areas of sample design and weighting, methodological experimentation,=20
and survey data analysis and reporting. There will also be opportunities=20
for teaching.
Candidates for the post would be expected to have a degree in statistics,=20
mathematics, social statistics or a closely related discipline and/or=20
Chartered Statistician status. Some professional experience of survey=20
statistics would be preferred, but not required. This includes experience=20
gained in academia, government, other public sector, and voluntary sector=20
or market research settings. Candidates would also be expected to be=20
familiar with SPSS, Stata or a similar statistical package.
The post is based at NatCen=92s London office in EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A319,000 - =A325,000. We offer excellent prospects for=
advancement,=20
favourable working conditions (including generous holiday entitlement, a=20
pension scheme and every other Friday off) and you will enjoy working in a=
=20
stimulating, hardworking and friendly environment.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, HR & Training Officer, NatCen, 35 Northampton Square, London EC1V=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Monday 9th January 2006.
=========================================================================
Date: Wed, 14 Dec 2005 14:23:26 +0000
Reply-To: Kevin Pickering <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Kevin Pickering <[log in to unmask]>
Subject: JOB: National Centre for Social Research
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SENIOR SURVEY STATISTICIAN / RESEARCH DIRECTOR
The Survey Methods Unit at the National Centre for Social Research is=20
looking to recruit a Senior Statistician or Research Director . The post=20
would involve work in the areas of sample design and weighting,=20
methodological experimentation, and survey data analysis and reporting.=20
There will also be opportunities for teaching.
Candidates for the post would be expected to have a degree in mathematics,=
=20
statistics, social statistics or a closely related discipline and/or=20
Chartered Statistician status, and at least three years of relevant=20
professional experience of survey statistics. This includes experience=20
gained in academia, government, other public sector, and voluntary sector=20
or market research settings. We would expect at least five years of=20
experience for an appointment at Research Director level. Candidates would=
=20
also be expected to be familiar with SPSS, Stata or a similar statistical=20
package.
The post is based at NatCen=92s London office in EC1. The successful=20
candidates will form part of a team of twelve professionals in the Survey=20
Methods Unit. The Unit provides advice and support to the quantitative=20
research teams at NatCen, mainly on design and analysis issues. In=20
addition, the Unit undertakes original methodological research and=20
disseminates good practice and research findings in the field of survey=20
methods.
Initial salary is dependent on experience but it is likely to be in the=20
range of =A325,000 - =A334,000 for a Senior Statistician and in excess of=20
=A334,000 for a Research Director. We offer excellent prospects for=20
advancement, favourable working conditions (including generous holiday=20
entitlement, a pension scheme and every other Friday off) and you will=20
enjoy working in a stimulating, hardworking and friendly environment.
For an application form please visit www.natcen.ac.uk, or contact Krista=20
Leino, HR & Training Officer, NatCen, 35 Northampton Square, London EC1V=20
OAX. Email: [log in to unmask] The closing date for applications is=20
Monday 9th January 2006.
=========================================================================
Date: Wed, 14 Dec 2005 17:26:01 -0000
Reply-To: George Vernon <[log in to unmask]>
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<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: Contract Biostatistician - Working from home
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Salary: EURO 80ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Netherlands=20
=20
Background:=20
=20
My client requires a statistical expert to take full responsibility for
a phase IIIb-IV marketing study. There is the capacity to operate from
home in this assignment, although onsite work will be required.
Candidates require an MSc in statistics with 4+ years in clinical
statistics position. Candidates available for a handover in December
will be preferable.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4118'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
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=========================================================================
Date: Thu, 15 Dec 2005 11:59:51 +1100
Reply-To: Malcolm Hudson <[log in to unmask]>
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<[log in to unmask]>
From: Malcolm Hudson <[log in to unmask]>
Subject: Macquarie University PhD scholarships in Medical Statistics
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Location: Sydney, Australia
Macquarie University PhD scholarships in Medical Statistics=20
(see attached ad, commencing February 2006)=20
Applications due: 16 December, 2005=20
(late applications and applications for later starting dates will be
considered).
=20
Dear Colleagues,
=20
Applications are called for a PhD scholarship for biostatistical/
methodological research relevant to clinical trials advertised=20
(attached htm) by Macquarie University on Wednesday 30/11/05 (Australian
HES).
Projects contribute to the NHMRC Program Grant research of the Centre
for Clinical Trials, University of Sydney. Applications are due by 16
December, 2005.
=20
Preferred project topic areas are provided on the page
http://www.ctc.usyd.edu.au/research/research.htm
In particular, see topics: Patterns of outcomes after Myocardial
Infarction; Multiple event Markov modelling;=20
Robust inference using saddle-point approximation.
=20
This scholarship offers a non-taxable stipend., with top
ups to AUD $28,247 per annum for outstanding applicants, for three years
full-time study commencing in 2006. In addition there are generous
operating and training allowances up to $5,000 p.a.
=20
With best wishes for Christmas.=20
=20
Malcolm Hudson
[log in to unmask]
=20
#########################################################################=
###########################################
IMPORTANT NOTICE: This e-mail and any attachment to it are intended only =
to be read or used by the named addressee.=20
It is confidential and may contain legally privileged information. No con=
fidentiality or privilege is waived or lost=20
by any mistaken transmission to you. The CTC is not responsible for any u=
nauthorised alterations to this e-mail or=20
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=========================================================================
Date: Thu, 15 Dec 2005 16:09:17 +1300
Reply-To: David Fletcher <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David Fletcher <[log in to unmask]>
Subject: Job Vacancy Down Under
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Lecturer in Statistics
Department of Mathematics And Statistics
University of Otago
Dunedin
New Zealand
Applications are invited for a full-time, confirmation path position as
Lecturer in Statistics in the Department of Mathematics and Statistics.
A more senior appointment will be considered in exceptional
circumstances for a suitably experienced applicant.
The successful applicant will be expected to teach at the undergraduate
and postgraduate levels, to develop an active research programme and to
supervise postgraduate research students. Applicants should have a PhD
in Statistics, a commitment to ongoing statistical research, and
experience in teaching.
Applicants with research interests in ecological statistics,
biostatistics, mathematical statistics or financial statistics are
especially welcome.
Enquiries may be directed to one of the following:
Associate Professor Richard Barker ([log in to unmask])
Associate Professor David Fletcher ([log in to unmask])
Professor Mark Meerschaert ([log in to unmask])
Information about the Department, its teaching and its research can be
found at www.maths.otago.ac.nz. For an application form and full job
description go to www.otago.ac.nz/jobs or send an email to
[log in to unmask]
Reference Number: A05/201
Closing Date: Wednesday 1 February 2006
=========================================================================
Date: Thu, 15 Dec 2005 13:29:51 +0000
Reply-To: Rafael Perera-Salazar <[log in to unmask]>
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<[log in to unmask]>
From: Rafael Perera-Salazar <[log in to unmask]>
Subject: Job: Data Analyst
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
University Of Oxford
Department of Public Health
Data Analyst
Study to evaluate a database to enable surgeons, in orthopaedic units, to
monitor the progress of patients receiving procedures for shoulder
problems
Research staff grade 1A
Salary: in the range 20,004 to 27,929 p.a.
Ref: BY05030
We are seeking a skilled data analyst for the above named study. The data
analyst will be working on a complex Access database which was designed
around five years ago to gather detailed descriptive information,
routinely, on all patients who received surgical treatment for a shoulder
problem.
The data analyst will take responsibility for preparing and defining the
subset of data to be analysed, and will analyse data using appropriate
computing, psychometric and statistical research expertise in consultation
with the research team members.
Applicants should possess a master's degree or equivalent level of
training (preferably statistics or epidemiology) and a minimum of 3 years'
research experience working within the broad fields of social
medicine/epidemiology/health services research.
Advanced IT skills including Access database and Word are required, as are
substantial quantitative data analysis skills using a statistical software
package such as SPSS, SAS or STATA. The ability to convey complex
statistical concepts to non-experts would be an advantage.
The post is for one year only and will be based at the Department of
Public Health on the Old Road Campus.
Further written information, which will contain details of the application
procedure, may be obtained from Stacey Bell (01865) 227091 (24 hour
answering machine) or email: [log in to unmask] Please be sure to
quote the appropriate reference, BY05030 in all enquiries. Closing date
for applications is Tuesday 10 January. Interviews will be held in late
January or early February.
=========================================================================
Date: Thu, 15 Dec 2005 14:46:50 +0000
Reply-To: Andrew McMullan <[log in to unmask]>
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<[log in to unmask]>
From: Andrew McMullan <[log in to unmask]>
Subject: Job: Academic position at Durham (Reader / (Senior) Lecturer)
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I have been asked to forward this to the list.
Please reply to the details given and not to me.
>Reader/ Senior Lecturer / Lecturer in Statistics
>Durham University (UK)
>
>
>Closing Date: 15 February 2006 - Job Reference 1154
>
>
>Applications are invited for a post in the Statistics Group,
>within the Department of Mathematical Sciences, from 1 October 2006
>or such date as may be arranged. We welcome applicants with
>research interests in any area of Statistics.
>
>Durham University is one of the UK's leading universities,
>with a strong commitment to both research and teaching. The
>Department of Mathematical Sciences has an active programme of
>internationally recognized research in a broad range of areas, and
>runs several popular degree programmes with a very high quality
>student intake. The Department currently has 53 academic staff,
>conducting research in Pure Mathematics, Applied Mathematics and
>Statistics/Probability/OR. The Statistics Group has 11 academic
>staff and 15 postgraduate students. There is a strong and active
>research environment, with many visitors and seminars, and fully
>supported by excellent computer and library facilities.
>The successful candidate will have an excellent research record
>in an area of Statistics, appropriate to the level for which the
>candidate applies. Preference may be given to candidates with
>research interests which match existing areas of expertise in
>the Statistics Group, which include Bayesian statistics, with
>special focus on large-scale applications, and foundations and
>applications of statistics. The successful candidate will be
>expected to make a substantial commitment to the research
>activities of the Statistics Group, and to undertake teaching
>and administrative duties as assigned by the Board of Studies
>of Mathematical Sciences.
>
>See http://www.maths.dur.ac.uk/ for more details about the
>Department, and http://www.maths.dur.ac.uk/stats/ for
>information about the Statistics Group.
>
>Informal enquiries may be made to
>Professor M. Goldstein (telephone: +44(0)191 3343065,
>email: [log in to unmask]) or to
>Professor F.P.A. Coolen (telephone: +44(0)191 3343048,
>email: [log in to unmask]).
>
>Further particulars about the vacancy may be obtained
>from the departmental vacancies web page
>http://www.maths.dur.ac.uk/jobs/.
>We request that you apply for this vacancy using the
>on-line application form, to be found at
>https://jobs.dur.ac.uk. Upon applying, you should
>indicate the level (Reader, Senior Lecturer or Lecturer)
>for which you wish to be considered. If you prefer,
>we can post an application pack to you, if you telephone
>our answering service on +44(0)191 3346499.
>In either case, quote job reference 1154.
>
>
>Applications should be sent to: The Recruitment Team,
>Durham University, University Office, Durham, DH1 3HP.
>Applications (two copies or one for overseas applicants)
>should be submitted, quoting the job reference and
>including CV, supporting letter of application and the
>names of three referees, by the closing date of
>15 February 2006.
>
>
>
>
>--
>
>
>Professor F.P.A. Coolen
>
>Department of Mathematical Sciences, Durham University, Durham, DH1 3LE,
>England
>
>tel: +44 (0) 191 334 3048 (Direct) 3050 (Dept) 3051 (Fax)
>e-mail: [log in to unmask]
=========================================================================
Date: Thu, 15 Dec 2005 15:36:23 +0000
Reply-To: Dr Bill Gardiner <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Dr Bill Gardiner <[log in to unmask]>
Subject: JOB: Part-time Statistics Lecturer (One semester)
Division of Mathematics
Glasgow Caledonian University
The Division of Mathematics is seeking a suitably qualified person to
undertake teaching of a year 1 statistics module. Teaching contact time
is anticipated to be around 7 to 8 hours per week. Teaching experience in
an appropriate educational environment is desirable. Module teaching will
commence at the start of the new semester on Monday 30th January 2006.
Module teaching and resource material are fully prepared.
Further details and an information sheet can be obtained from Dr Bill
Gardiner, Head of Division of Mathematics, Glasgow Caledonian University.
Tel: 0141 331 3603. Email: [log in to unmask]
=========================================================================
Date: Thu, 15 Dec 2005 17:37:40 +0000
Reply-To: Stephen Senn <[log in to unmask]>
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<[log in to unmask]>
From: Stephen Senn <[log in to unmask]>
Subject: Re-scaling examination marks
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Someone once said, and it may have been me, that statisticians will apply
statistical reasoning to anything except the sort of things they do
themselves, so that they don't use theory of experimental design for
designing their simulations, for example, and they will re-scale
examination marks in statistics papers using any stupid method at all.
However, there must be a considerable literature on the subject of
combining and re-scaling marks. One paper known to me is that of Krzanowski
et al in JRSS C 1985. I was recently asked for advice on this subject from
a non-statistical department and was rather embarrassed that there was not
a great deal I could say. Does anybody have any recommendations for
suitable reading?
Stephen Senn
Stephen Senn
Professor of Statistics
Department of Statistics
15 University Gardens
<http://www.gla.ac.uk>University of Glasgow
G12 8QQ
Tel: +44 (0)141 330 5141
Fax: +44(0)141 330 4814
email [log in to unmask]
Private webpage: http://www.senns.demon.co.uk/home.html
=========================================================================
Date: Thu, 15 Dec 2005 21:04:47 +0000
Reply-To: Peter Green <[log in to unmask]>
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<[log in to unmask]>
From: Peter Green <[log in to unmask]>
Subject: Re: Re-scaling examination marks
Comments: To: [log in to unmask]
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No recommendations for reading, but a few thoughts....
Course/exam difficulty is utterly confounded with (concerted) student
investment of effort, so if you use a scaling system, it shouldn't
depend only on the marks.
Think about the scale on which the ultimate mark are to be reported -
typically criterion-referenced marks ranges, e.g. with 40/50/60/70
borderlines. Not an interval scale, or a ratio scale? What
transformations would be legitimate?
... and if you know a way to set a statistics exam so that a bare first
class performance yields only 1.75 times the marks of a bare third
performance, you may not need to scale your marks (and please let us all
know how to do it!)
Peter
=========================================================================
Date: Fri, 16 Dec 2005 08:08:26 +1100
Reply-To: Aylin Dulagil <[log in to unmask]>
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<[log in to unmask]>
From: Aylin Dulagil <[log in to unmask]>
Subject: unsubscribe aylin dulagil
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=20
=========================================================================
Date: Fri, 16 Dec 2005 09:09:25 -0000
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: [log in to unmask]
Subject: JOB: Quantitative Equity Analyst position at leading global hedge
fund
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Man Investments is an independent global leader in alternative
investments providing innovative products and tailor made solutions for
private and institutional clients. Through its diverse portfolio of
managers it has developed in-depth knowledge and specialised strengths
in differing alternative asset classes - hedge funds, leveraged finance
and convertible bonds. With over 1,100 employees located in 15
countries, Man Investments has a powerful presence worldwide.=20
=20
Man Investments provides a dynamic working environment in the fast-paced
world of alternative investment management with ample opportunities for
personal development. Intelligence and creativity are highly valued as
the individual motivation and professionalism of our people plays a
critical role in our success.
=20
AHL Research is primarily responsible for the development and
maintenance of our in-house managed futures quantitative trading system
in which over US$11B is currently invested. The department undertakes a
diverse range of activities including model-based prediction, portfolio
construction, risk management and trade execution analysis. The team has
strong links with other departments within the company and works on
projects including the development of multi-strategy products and
performance analysis of external and internal investment funds.=20
=20
QUANTITATIVE EQUITY ANALYST [Ref: 836]
=20
Responsibilities
=20
* To have/maintain an awareness of the wider academic literature
on quantitative equity strategies, and current trends in performance
among managers and types of signal
* Researching, investigating and developing AHL's quantitative
equity trading strategies
* Proposing ideas for new signals and models in discussions with
the rest of the team
* Obtaining and preparing data for testing signals
* Analysing the properties of the signals using the data, and
refining them where necessary
* Back-testing to verify the effectiveness of signals for
trading, both individually and as additions to our existing models
* Analysing the results of back-tests to understand sources of
out- or under-performance
* Producing regular updates of progress via graphical or
numerical results to underpin ongoing research discussion
* Producing concise, high quality written reports at the
completion of each piece of research
=20
=20
Requirements
=20
* Numerate degree, 2:1 or better
* Relevant post-graduate qualification (MA/MSc/PhD or
equivalent)
* A minimum of 12 months experience in equity research
* Evidence of programming experience. Matlab an advantage.
* Understanding of company accounts
* Proactive approach, in order to drive research activity
* Ability to view the bigger picture, without compromising
attention to detail
* High level of resilience, to maintain focus and motivation in
the face of research difficulties
* Excellent time management skills, in order to manage own
workload without micro-management
* Ability to generate original ideas and follow these through
implementation=20
=20
Applications
Please refer to vacancy reference 836 in the Man Investments careers
section of the Man Group website (http://www.mangroupplc.com
<http://www.mangroupplc.com/> ) for further details.
=20
To apply for this position, email your cover letter & CV to
[log in to unmask]
=20
=20
=20
------------------------------------------------------------------------
-------------------------
Deborah Kester
HR Business Partner
=20
Man Investments Ltd
Sugar Quay
Lower Thames Street
London EC3R 6DU
=20
www.maninvestments.com <http://www.maninvestments.com> =20
=20
A member of the Man Group
Man Investments Ltd is authorised and regulated by the Financial
Services Authority
Registered in England No. 2093429
=20
**********************************************************************
Any information in this communication which is confidential must not
be disclosed to others without our consent. Such consent is not required
where the information is publicly available and intended for onward
distribution. If the information is confidential and if you are not the
intended recipient, you are not authorised to and must not disclose,
copy, distribute, or retain this message or any part of it. You are
requested to return this message to the sender immediately.
Due to the electronic nature of e-mail, there is a risk that the
information contained in this message has been modified.=20
Consequently Man Investments can accept no responsibility or
liability as to the completeness or accuracy of the information.
Visit us at: www.maninvestments.com
**********************************************************************
=========================================================================
Date: Fri, 16 Dec 2005 11:52:19 +0100
Reply-To: Rino Bellocco <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Rino Bellocco <[log in to unmask]>
Organization: KI-MEB
Subject: [Fwd: Summer School in Treviso, Italy]
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Dear Colleague at allstat,
Faculties from Karolinska Institutet and Harvard University have the=20
pleasure to announce the 2006 Edition of the =93Summer School On Modern=20
Methods in Epidemiology and Biostatistics=94. Courses on both introductor=
y=20
and more advanced epidemiology and biostatistics, given in a two week=20
program, will be run by faculties from Harvard School of Public Health=20
and Karolinska Institutet. A two =93one day course=94 on basics and=20
programming in Stata will be also offered. The school will be held from=20
June 18 to July 1 2006 at CastelBrando, in Cison Di Valmarino, Treviso,=20
Italy. Please visit the course homepage for more information about the=20
course: http://www.bioepi.org
rino
=========================================================================
Date: Fri, 16 Dec 2005 11:29:33 +0000
Reply-To: Philip O'Neill <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Philip O'Neill <[log in to unmask]>
Subject: JOB: Research Associate/Fellow, Nottingham
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University of Nottingham
School of Mathematical Sciences
Division of Statistics
Research Associate/Fellow
Applications are invited for the above post, funded by the Wellcome Trust, =
to develop and apply model-based methods=20
of statistical inference to analyse detailed data sets on hospital infectio=
ns.
The research project, under the supervision of Dr Philip O'Neill (Nottingha=
m) and Dr Ben Cooper (Health Protection Agency=20
(HPA), London), will address a number of important questions relating to th=
e epidemiology and population biology of multiply=20
antibiotic resistant organisms such as MRSA and GRE. This will be achieved=
by developing state-of-the-art approaches for=20
analysing hospital infection data sets using Markov chain Monte Carlo (MCMC=
) methods. The project is multidisciplinary and=20
the person appointed will be expected to work closely with subject experts,=
using knowledge of the microbiology, epidemiology=20
and genetics of the pathogens to construct transmission models and interpre=
t data.
Candidates should hold, or expect to obtain shortly, a PhD in a subject wit=
h a substantial mathematical or statistical=20
component. Previous experience of computer programming is essential. Fami=
liarity with MCMC methods and stochastic=20
modelling is desirable and an interest in mathematical biology or infectiou=
s disease epidemiology will be a distinct advantage.
Salary will be within the Research Associate range =A320,842 - =A322,774 pe=
r annum, depending on qualifications and=20
experience (salary can progress to =A325,633 per annum, subject to performa=
nce) or within the Research Fellow=20
range =A323,457 - =A328,850 per annum, depending on qualifications and expe=
rience (salary can progress to =A333,445=20
per annum, subject to performance).
This full-time post is available immediately and will be offered on a fixed=
-term contract for a period of three years.=20=20
The person appointed will be based in Nottingham, but will have regular vis=
its to the HPA in London.
Informal enquiries may be addressed to Dr O'Neill, tel: 0115 951 4939, fax:=
0115 951 4951 or Email: [log in to unmask]
Candidates should send a detailed CV, together with the names and addresses=
of two referees, to=20
Dr P D O'Neill, School of Mathematical Sciences, The University of Nottingh=
am, University Park, Nottingham, NG7 2RD.=20=20
Closing date: 20 January 2006.
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Dr. Philip D. O'Neill
School of Mathematical Sciences
University of Nottingham
University Park=20
Nottingham NG7 2RD=20
England
Tel: +44 (0)115 951 4939 (Direct)
Tel: +44 (0)115 951 4949 (School)
Fax: +44 (0)115 951 4951
Email: [log in to unmask]
WWW: http://www.maths.nott.ac.uk/personal/pdo/index.html
This message has been checked for viruses but the contents of an attachment
may still contain software viruses, which could damage your computer system:
you are advised to perform your own checks. Email communications with the
University of Nottingham may be monitored as permitted by UK legislation.
=========================================================================
Date: Fri, 16 Dec 2005 12:53:27 -0000
Reply-To: Hema Mistry <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Hema Mistry <[log in to unmask]>
Subject: Statistics course
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Dear Allstat members,
Does anyone know of any intensive courses (i.e. one or two weeks long) =
running next year in Applied Statistics (maybe with an application in =
medicine) but using Stata?
Any ideas will be gratefully appreciated.
Many thanks Hema
----------------------------------------------------------------
Hema Mistry
Research Fellow in Health Economics
Health Economics Research Group
Brunel University
Uxbridge
Middlesex, UB8 3PH, UK
Tel: +44 (0)1895 265447
Fax: +44 (0)1895 269708
Email: [log in to unmask]
=========================================================================
Date: Fri, 16 Dec 2005 13:25:10 -0000
Reply-To: Neil H Spencer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neil H Spencer <[log in to unmask]>
Subject: SEMINAR: University of Hertfordshire Statistics Seminar
Comments: To: Irene Bruegel <[log in to unmask]>,
Ian McAndrew <[log in to unmask]>,
Robin Nicolson <[log in to unmask]>,
Philip Mullock <[log in to unmask]>,
"David Boniface (UCL)" <[log in to unmask]>,
Michael Healy <[log in to unmask]>
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UNIVERSITY OF HERTFORDSHIRE STATISTICS SEMINAR SERIES
Part of the Business School Research Seminar Programme
www.herts.ac.uk/business/staff_public/nhspencer_public/seminars
Supported by Department of Management Systems,
Business School, University of Hertfordshire.
Wednesday 11th January 2006, 2pm, room M133, de Havilland campus
David Jarrett (Middlesex University Business School)
Title: "Road crashes and statistics: how can we evaluate the =
effectiveness of safety measures?"
Abstract:
"The number of road accident casualties in Great Britain has been =
declining in recent years but remains a serious problem. In 2004 there =
were over 3,200 deaths and about 31,000 serious injuries on the roads, =
and the total cost of road accidents to society was estimated to be =
=A318 billion. This talk will begin by providing some background to =
these figures. It will outline how road accidents are recorded and the =
resulting data made available to researchers, and show comparisons of =
accident rates over time, between different modes of transport, and =
between different countries.
The main aim, however, will be to discuss the statistical problems that =
arise when evaluating the effects of intended safety measures such as =
the introduction of mini-roundabouts, new road markings, or speed =
cameras. Accident counts at a site vary randomly and are usually =
modelled by the Poisson distribution, so methods based on this =
distribution can be applied. However, safety measures are usually =
introduced only at sites that have experienced a large number of =
accidents in the past. This means that any subsequent reduction in =
accidents may just be the result of regression towards the mean. The =
regression effect will be explained, and it will be shown how empirical =
Bayes methods can be used to estimate its size. The talk will conclude =
with mention of some more complex statistical models for road accidents =
and a discussion of the difficulties that can arise when applying these =
in practice."
For further information regarding location, parking, etc.,
please contact Neil Spencer (details below).
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit
Business School, University of Hertfordshire,
de Havilland Campus, Hatfield,
Hertfordshire, AL10 9AB, U.K.
Statistical Services and Consultancy Unit Contact Details:
Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/centres/sscu
Personal Contact Details:
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/staff_public/nhspencer_public
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
=========================================================================
Date: Fri, 16 Dec 2005 08:36:51 -0800
Reply-To: piero bassu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: piero bassu <[log in to unmask]>
Subject: JOB: Credit Risk Analyst (London)
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Deal AllStat,
I am looking to fill a Credit Risk Analyst position
within my Credit Risk Team, c/o a well known mortgage
lender based in the Docklands, London.
The main purpose of the job is to =A1V=20
=84h Implement the credit strategy changes using
strategy management tools.
=84h Regular monitoring of automated and manual credit
decisions.
=84h The development of credit scoring in order to
maximise lending quality and profitability.
It will be desirable for the successful candidate to
possess the following:
=84h Previous experience in personal credit preferred
(at least 1 year).
=84h Experience of use of SAS or other data management /
reporting tools (e.g. Paris).
=84h Experience of monitoring and data management.
=84h Ability to communicate results of monitoring and
analysis confidently and clearly either verbally or in
writing.
=84h Experience in developing scorecards is an
advantage.
Degree in numerate subject.
This job is an attractive opportunity in a fast
growing, changing environment.
If you are at all interested in this position, please
do not hesitate to contact me on [log in to unmask]
Kind Regards
Piero
__________________________________________________
Do You Yahoo!?
Tired of spam? Yahoo! Mail has the best spam protection around=20
http://mail.yahoo.com=20
=========================================================================
Date: Fri, 16 Dec 2005 16:40:42 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: Course: Presenting Data - January & March 2006
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Royal Statistical Society Short course
Presenting data
Tuesday 17 January 2006, 10am-4.30pm (registration from 9.30am)
And
Thursday 16 March 2006, 10am-4.30pm (registration from 9.30am)
Course presenter: Ed Swires-Hennessy (Local Government Data Unit - =
Wales)
This course is the foundation to all presentations of statistical =
information. The basic principles of presenting information in tables, =
charts, maps and text are explained. These are illustrated and then =
re-enforced through practical exercises.=20
Participants will be equipped to disseminate statistical messages in a =
clear, accurate and meaningful way across various media to general =
audiences.
The course is for anyone who is involved in communicating statistics to =
non-statisticians or who reports on data - of any description - within =
organisations, to specific communities and to the general public where a =
message is being given. It is not necessary to be a statistician as no =
formulae are presented. The day will be a mix of presentation, tuition =
and exercises which all reinforce the communication message."
At the Royal Statistical Society 12 Errol Street London EC1Y 8LX
Registration fees (including lunch, refreshments and course materials)
CStat/GradStat =A3135
Fellow =A3150
Linked Associate =A3175
Non-Fellow =A3200
Booking forms are available from www.rss.org.uk/courses.
Alternatively contact Paul Gentry, Theme Manager, Meetings & Conferences =
at the RSS ([log in to unmask])
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
> Join the Royal Statistical Society today. For more details go to =
http://www.rss.org.uk/join
>=20
>=20
=========================================================================
Date: Fri, 16 Dec 2005 17:10:21 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - SAS Programmer in DM
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
CONTRACT - SAS Programmer in DM
=20
Salary: GBP 45ph+ DOE=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics, Software Developer=20
Position type: Permanent=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a candidate to provide assistance with the
implementation of global company standards. You will migrate Legacy data
to company standards and to SDTM structure to support an NDA submission.
CDISC study data tabulation model migration experience would be
preferable. The contract is to start from early 2006 and run for 12
months. Candidates must have excellent SAS Programming abilities with at
least 3+ years in the pharmaceutical industry.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4481'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 16 Dec 2005 17:27:36 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT : 2 x Statistician
MIME-Version: 1.0
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CONTRACT : 2 x Statistician
=20
Salary: EURO 80ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Germany=20
=20
Background:=20
=20
My client requires two senior statistician's with 5+ years experience in
clinical stats to join their team on 3 month rolling contracts. Running
from early 2006, you will work on a number of different assignments
needing candidates to offer a range of expertise including SAS
Programming. The role is to be based onsite within a major German City.
Fluent English is essential.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, reply with an up to date CV quoting the reference 'grv-4479'.=20
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Fri, 16 Dec 2005 15:06:36 -0000
Reply-To: Neil H Spencer <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Neil H Spencer <[log in to unmask]>
Subject: Courses in Statistics, R, SAS and DoE: University of Hertfordshire
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
University of Hertfordshire Statistical Services and Consultancy Unit
http://www.herts.ac.uk/business/centres/sscu
We are pleased to be able to offer places on the following courses.
Introductory Courses in Statistics:
"Getting Started with Stats" (1 day): 25th January, 3rd May
"Starter Course in Statistics" (2 days): 19th to 20th June
Courses in Data Analysis:
"Comparing Groups" (1 day): 8th February, 10th May
"Relationships in Data" (1 day): 25th January, 17th May
"Essential Data Analysis" (2 days): 21st to 22nd June
"Intermediate/Refresher Course in Statistics" (3 days): 26th to 28th =
June
"Higher Course in Statistics" (2 days): 17th to 18th July
Specialist Courses:
"Survey Design and Sample Size" (1 day): 8th March, 28th May
"One-Day Course in R" (1 day): 28th March
"One-Day Course in SAS Programming" (1 day): 29th March
"Introduction to the Design and Analysis of Experiments" (1 day): 20th =
April
For further details of these (and other) courses, fees and an =
application
form, please see below and at
http://www.herts.ac.uk/business/centres/sscu
(click on "Short Courses" at the web site)
GETTING STARTED WITH STATS
This course is aimed at all who need to learn about the very basics of
analysing and presenting statistical data. No prior knowledge of
statistics is assumed. Anyone who needs to deal with data in their
work should be able to participate fully.
STARTER COURSE IN STATISTICS
An expanded version of our "Getting Started with Stats" course,
incorporating presentation of data and questionnaire design.
COMPARING GROUPS
This course is aimed at all who have groups in their data that need to
be compared and contrasted, whether the data come from a survey,
experiment or elsewhere, and covers topics in hypothesis testing.
RELATIONSHIPS IN DATA
This course is aimed at all who need to examine their data for
relationships that may or may not exist, whether the data come from
a survey, experiment or elsewhere, and covers the topics of simple
and multiple regression.
ESSENTIAL DATA ANALYSIS
This course combines our two one-day courses "Comparing Groups"
and "Relationships in Data."
INTERMEDIATE/REFRESHER COURSE IN STATISTICS
This is a course aimed at all who wish to improve their competence
and confidence in analysing data from surveys and experiments. You
are encouraged to bring your own data for discussion/analysis. It is
assumed that delegates on this course will have a knowledge of
probability, the Normal distribution and hypothesis testing. Those
whose experience of these topics is some time in the past should
find sufficient reminders given to enable them to participate fully.
HIGHER COURSE IN STATISTICS
This course is aimed at those with a working knowledge of statistics
who wish to learn about or improve their competence and confidence
in using more advanced methods of analysing data. You are
encouraged to bring your own data for discussion/analysis. It is
assumed that delegates on this course will have a knowledge of
probability, the Normal distribution, hypothesis testing and
regression techniques. Those whose experience of these topics is
some time in the past should find sufficient reminders given to enable
them to participate fully.
SURVEY DESIGN AND SAMPLE SIZE
This course is aimed at all who need to design surveys, covering the
topics of good survey design, sample size determination and power.
ONE-DAY COURSE IN R
This course is aimed at people who are interested in using R: a
freely-available computer package for statistics used by professional
statisticians. The command language used by R is very similar to that
used by S-PLUS, and this course also acts as an introduction to the
command language used by this package. No prior knowledge of
statistics is required. Anyone whose work would involve them using a
statistics package should be able to participate fully.
ONE-DAY COURSE IN SAS PROGRAMMING
This course is aimed at programmers or statisticians with some
knowledge of SAS or those new to SAS and transferring from another
statistical package. It is suited to anyone who wishes to develop a
knowledge of SAS programming. No prior knowledge of statistics is
required. Anyone whose work would involve them using SAS should
be able to participate fully.
INTRODUCTION TO THE DESIGN AND ANALYSIS OF EXPERIMENTS
This course will be of interest to everyone who wants to be able to
identify the important factors influencing a process. It will show how,
with a minimum of experimentation, the important factors can be
identified from a list of possible factors, how knowledge of the =
important
factors can be used to predict process behaviour and how
recommendations for process optimisation can be obtained. No prior
knowledge of statistics is required. Anyone whose work would involve
the topics covered in this course should be able to participate fully.
Details of fees, discounts, etc. are available by clicking on "Short
Courses" at the web site
http://www.herts.ac.uk/business/centres/sscu.
If you have any questions about our courses or any other service we
offer, please contact me.
Dr Neil H. Spencer
Director of Statistical Services and Consultancy Unit
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
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=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit
Business School, University of Hertfordshire,
de Havilland Campus, Hatfield,
Hertfordshire, AL10 9AB, U.K.
Statistical Services and Consultancy Unit Contact Details:
Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/centres/sscu
Personal Contact Details:
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/staff_public/nhspencer_public
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=========================================================================
Date: Fri, 16 Dec 2005 14:00:47 -0800
Reply-To: james brown <[log in to unmask]>
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From: james brown <[log in to unmask]>
Subject: Need Help for a Statistics problem
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Hello Dear
I need to select among 700 objects a good
representative sample. These
objects
could be residential houses, commercial buildings,
trucks, etc.
How to get a good sample size and select a set of
objects that is very
representative.
The second part of my question is to find a
statistical model in R that
detects objects that are most
likely used as their owners told the municipality. For
example, if a
restaurant is suppose
to have 5 tables, we want to know that it doesn't have
more. The goal
is to have a model that
flags such restaurant for inspection.
Cheers, Dan
__________________________________________________
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Date: Fri, 16 Dec 2005 23:25:41 -0600
Reply-To: Jay Warner <[log in to unmask]>
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<[log in to unmask]>
From: Jay Warner <[log in to unmask]>
Subject: Re: Need Help for a Statistics problem
Comments: To: james brown <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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I feel I am rushing in where angels fear......
The selection of a sample from among 700 objects depends primarily
upon what you wish to discover, and what sort of basic assumptions
you make.
1) If you assume that all the objects are randomly taken from a
uniform population (i. e., an intro stat question set-up:( , then
selecting n items at random would do you just fine. How many is n?
You haven't said the quesiton to answer yet.
2) If you assume that there are inherent differences in the sample of
700 (for example, if you wish to know typical wage rate paid and you
know that some of the 700 are retail stores, and the rest are
manufacturers, you might wish to sample these two groups separately,
keeping track of which group you were getting info from in each
case.) then it may well benefit you to sample from the two groups, in
the same proportion as each group appears in the 700.
3) You also need to know what sort of question you wish to answer,
_before_ you collect the data. In fact, ask the question now to help
decide how to make the sample.
there are too many alternative developments at this point, to answer
your question in an email. We need to know what you want to do with
the sample (what questions you will ask of it), and what factors you
think might influence the data and your actions based on it.
['factors=selectable characteristics of the 700.] IN the process of
developing that question, and the factors, I suspect you will at
least half answer your own question. Such is statistics!
Now for question 2.
You ask for a model that will detect objects (businesses?) that are
not altogether forthright about their activities (and presumably tax
payments). Would we all had such a detector! The US Federal deficit
would be cut in half overnight if everyone reported and paid as much
taxes as the IRS thinks they should!
In your example, you would need to know how much business a
restaurant is doing, and how much you would expect it to do for the
size (number of tables) it is. Again, the US IRS has excellent
equations for predicting true business activity, but they may not
want to pas them out to everyone. National restaurant associations
probably can tell you how much business you should expect to have,
for a given size and location, and type of restaurant. Such would be
needed in order to work up business plans. I expect the same would
be true for other retail business firms as well.
Once you have the equations (model), you would need to put in the
indicators of activity for each firm involved, and look for large
deviations. How much deviation indicates erroneous reporting? that
would depend on the accuracy and precision of the model. You could
at least select the 3 with the largest (tax loss) deviations, and
look more closely at them.
Don't know if that approaches support for your solution, but I tried.
Jay
On Dec 16, 2005, at 4:00 PM, james brown wrote:
> Hello Dear
> I need to select among 700 objects a good
> representative sample. These
> objects
> could be residential houses, commercial buildings,
> trucks, etc.
> How to get a good sample size and select a set of
> objects that is very
> representative.
>
> The second part of my question is to find a
> statistical model in R that
> detects objects that are most
> likely used as their owners told the municipality. For
> example, if a
> restaurant is suppose
> to have 5 tables, we want to know that it doesn't have
> more. The goal
> is to have a model that
> flags such restaurant for inspection.
>
> Cheers, Dan
>
> __________________________________________________
> Do You Yahoo!?
> Tired of spam? Yahoo! Mail has the best spam protection around
> http://mail.yahoo.com
>
Jay Warner
Principal Scientist
Warner Consulting, Inc.
4444 North Green Bay Road
Racine, WI 53404-1216
USA
Ph: 262.634.9100
FAX: 262.681.1133
email: [log in to unmask]
web: www.a2q.com
The A2Q Method(tm) --- What do you want to improve today?
=========================================================================
Date: Sat, 17 Dec 2005 15:46:47 -0800
Reply-To: SHWETAL BHATT <[log in to unmask]>
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<[log in to unmask]>
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Subject: UNSUBSCRIBE "SHWETAL BHATT"
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=========================================================================
Date: Sun, 18 Dec 2005 07:17:46 -0000
Reply-To: John Polak <[log in to unmask]>
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<[log in to unmask]>
From: John Polak <[log in to unmask]>
Organization: Imperial College London
Subject: JOB: Research Posts in Urban Energy Systems and Transport at
Imperial College London
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Centre for Transport Studies
Imperial College London
Six postdoctoral Research Associates required to work on a BP-
sponsored project on Urban Energy Systems
Salary in the range =A322,870 to =A326,120 per annum
Fixed Term appointments for up to 3 years
Positions are available within a multidisciplinary group researching urban=
energy systems. The BP Urban Energy Systems project at Imperial will
explore how costs, energy and environmental impacts could be reduced in
the future if cities integrated the systems that supply them with
resources.
The Urban Energy Systems project is the first to try to document and
understand in detail how energy, people and materials flow through a
city. The researchers aim to use this information to improve the
efficiency of both existing and new-built cities.
The project will analyse how much benefit would result if a whole city
optimised its use of resources such as power, heating, transport and
water, for example by heating homes with the heat from waste water or
by arranging residential and business areas to reduce traffic. The
project involves a unique collaboration between a number of leading
research groups at Imperial College working in the area of urban
systems analysis, including:
Centre for Process Systems Engineering
(www.cpse.imperial.ac.uk)
Centre for Transport Studies
(www.imperial.ac.uk/cts)
The Innovation Studies Centre
(www.imperial.ac.uk/innovationstudies)
Centre for Environmental Policy
(www.imperial.ac.uk/environmentalpolicy)
Control and Power
(www.imperial.ac.uk/controlandpower)
Team members include Prof. David Fisk, Prof. Nilay Shah, Prof. David
Gann, Prof. Tim Green, Dr Matthew Leach and Prof. John Polak.
Based in a newly inaugurated Energy Futures Lab
(www.imperial.ac.uk/energyfutureslab), the Urban Energy Systems
Project will employ a team leader and up to five postdoctoral
researchers as well as several PhD students. We are looking for
candidates with experience in one or more of the following areas:
Process systems engineering, especially data collection and
analysis and modelling and optimisation of complex energy-related
systems
Civil engineering, especially energy use in buildings and transport
demand modelling, economics and network analysis
Environmental policy, economics and modelling, especially resource
flow analysis
Electrical systems modelling and control, especially distributed
generation, transmission and distribution
Business and innovation.
The appointees should hold a PhD degree (or equivalent) in a relevant
discipline, with particular emphasis on modelling and systems analysis in
one or more of the areas above.
Application forms, job description and person specifications for the
Team leader and Research Associate positions are available from the
following website: www.imperial.ac.uk/employment/research/index.htm.
Alternatively, those documents, together with further particulars, may
be obtained by contacting: Mrs June Talbot, Department of Chemical
Engineering, Imperial College London, South Kensington Campus, London
SW7 2AZ. Tel: +44 (0)20 7594 5557 or email: [log in to unmask]
Completed application forms should be sent, or emailed, to Mrs Talbot,
together with a CV and list of publications by the closing date.
Potential candidates wishing to discuss the research opportunities in the
field of transport should contact Prof. John Polak email:
[log in to unmask]
Closing date : 11th January 2006
Valuing diversity and committed to equality of opportunity
--
Prof. John Polak
Centre for Transport Studies
Imperial College London
http://www.imperial.ac.uk/transport-studies
=========================================================================
Date: Mon, 19 Dec 2005 07:53:37 +0000
Reply-To: David W Warne <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: David W Warne <[log in to unmask]>
Subject: Conference: 27-31 Aug 2006: ISCB27
27-31 Aug 2006: International Society for Clinical Biostatistics: ISCB27
The annual ISCB conference fosters collaboration between the academic
community, government agencies, and biomedical research organisations.
ISCB 2006 in Geneva will provide a forum for the international exchange of
methods, applications, and theory of biostatistics in medical research and
medical practice.
Info: [log in to unmask] Chair, Local Organising Committee
[log in to unmask] Chair, Scientific Programme Committee
www.iscb2006.info has all the latest information on the invited sessions,
abstract submission, social programme and registration.
=========================================================================
Date: Mon, 19 Dec 2005 08:59:28 -0000
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Introduction to Excel VBA
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Course: Introduction to Excel VBA
Duration: 2 Days
Venue and Date: London (1/2 February), Glasgow (27/28 February)
Cost: 495 pounds plus VAT per delegate (discounts for 2+ delegates)
Dear Allstat,
IntrepiData is now taking bookings for the above course.
This course is aimed at current users of Excel who wish to learn how to
automate spreadsheet tasks using Visual Basic for Applications (VBA), in
order to save hours (if not days) in their spreadsheet work. Delegates
need no prior programming knowledge to benefit from the course and by
the end of the course should be able to build customised applications
within Excel.
Statisticians / data analysts and other staff from wide-ranging types of
organisation (e.g. schools, colleges, universities, CRM companies,
insurance, technology companies, local and central government, police
forces, NHS, finance) have already benefited from attending the course
and are now able to apply the skills they have learnt back in the
workplace.
For more information, or to book a place on the course, please do not
hesitate to contact me or visit our website for further details.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Mon, 19 Dec 2005 09:06:37 -0000
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Data Analysis using Excel PivotTable Reports
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Course: Data Analysis using Excel PivotTable Reports
Duration: 1 Day
Venue and Date: London (30 Jan), Glasgow (1 March), Edinburgh (2 March),
London (23 March)
Cost: 275 pounds plus VAT per delegate (discounts for 2+ delegates)
Dear Allstat.
IntrepiData is now taking bookings for the above course. This one day
course is aimed at current users of Excel who wish to learn how to
manipulate one of the most powerful yet user-friendly tools within
Excel, namely PivotTable reporting.
PivotTable reports are interactive tables which summarise large amounts
of data very quickly into tabular reports, the structure of which is
defined by the user. Once created, PivotTable reports are extremely easy
to modify and format.
This course is designed to take the delegate from the basics of
PivotTable report creation through to more advanced topics such as
creating Custom Groupings and Displaying as Percentages.
No previous knowledge of PivotTable reporting is assumed and by the end
of the course, the delegate should be confident in building standard and
customised PivotTable reports.
The course is very hands on and interactive. The delegate works through
a number of set tasks and exercises related to each specific topic. The
atmosphere during the course is relaxed and friendly.
For more information, or to book a place on the course, please do not
hesitate to contact me or visit our website for further details.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Mon, 19 Dec 2005 09:11:05 -0000
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Charting Data with Excel PivotChart Reports
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Course: Charting Data with Excel PivotChart Reports
Duration: 1 Day
Venue and Date: London (31 Jan), Birmingham (7 Feb), Newcastle (21
March)
Cost: 275 pounds plus VAT per delegate (discounts for 2+ delegates)
Dear Allstat,
IntrepiData is now taking bookings for the above course. This course is
aimed at Excel users who are familiar with and confident in creating
PivotTable Reports and who wish to learn how to create PivotChart
Reports in Excel. PivotChart Reports are graphical depictions of data
held in PivotTable Reports. They are interactive charts which summarise
large amounts of data very quickly into graphical reports, the structure
of which is defined by the user. Once created, PivotChart Reports are
extremely easy to customise.
This course is designed to take the delegate from the basics of
PivotChart Report creation through to more advanced topics and tricks.
No previous knowledge of PivotChart Reporting is assumed (though a
working knowledge of PivotTable Reporting is required) and by the end of
the course, the delegate should be confident in building standard and
customised PivotChart reports.
For more information, or to book a place on the course, please do not
hesitate to contact me or visit our website for further details.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Mon, 19 Dec 2005 09:21:52 -0000
Reply-To: Fen Scott <[log in to unmask]>
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<[log in to unmask]>
From: Fen Scott <[log in to unmask]>
Subject: Course: Creating Automatic Systems with Excel VBA
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Course: Creating Automatic Systems with Excel VBA
Duration: 5 days*
Venue and Date: London (6-10 March), Newcastle (13-17 March), Birmingham
(3-7 April)
Cost: 995 pounds* plus VAT per delegate (discounts for 2+ delegates)
IntrepiData is now taking bookings for the above course.
New for 2006, this course is aimed at current users of Excel who wish to
enhance their spreadsheet productivity by utilising Excel's built in
programming language, Visual Basic for Applications (VBA) to create
systems to automatically perform manual repetitive spreadsheet tasks.
The course takes the delegate from the basics of macro recording through
to more advanced topics such as creating and automating userforms,
automating PivotTable reports with VBA and much more. NO PREVIOUS
PROGRAMMING KNOWLEDGE IS REQUIRED.
The course is hands-on throughout and the delegate will be developing
automatic systems throughout the 5 days of the course. Many of the
systems developed during the course will be applicable back in the
work-place, thereby enhancing spreadsheet productivity very quickly.
* For delegates who have already attended our "Introduction to Excel
VBA" or "Excel VBA for School Data" courses, the first day of this
course can be skipped. The cost for the 4-day abridged course is 850
pounds plus VAT.
For more information, or to book a place on the course, please do not
hesitate to contact me or visit our website for further details.
Best wishes,
Fen Scott
Statistical Consultant
IntrepiData
0191 478 2671
www.intrepidata.co.uk
This message is for the designated recipient only and may contain
privileged information. If you have received it in error, please notify
the sender immediately and delete the original.
=========================================================================
Date: Mon, 19 Dec 2005 11:55:41 +0100
Reply-To: Lola Ugarte <[log in to unmask]>
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<[log in to unmask]>
From: Lola Ugarte <[log in to unmask]>
Subject: International Workshop on Spatio-Temporal Modelling
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Dear colleagues,
I am glad to tell you that the registration of the next
"International Workshop on Spatio-Temporal Modelling"
to be held in Pamplona the 27th, 28th and 29th of September 2006 is now open.
To register please use the on-line registration service available at the
web site:
http://www.unavarra.es/metma3
We are planning a very stimulating scientific program with a complete list of
invited speakers who are at the forefront of spatio-temporal modelling
research.
Noel Cressie will open the workshop, and the rest of invited speakers will be
organized into sessions with discussants.
There will be also space for contributed papers and posters.
A special issue of the international journal "Environmetrics" will be
devoted to the
contents of the workshop.
The Organizing Committee is also preparing an exciting social program: an
afternoon
excursion to Viana, a historic village in Navarra, to visit interesting
monuments and
the Rioja Caves located there.
We are also planning a post-workshop activity on Saturday to visit the
wonderful
Guggenheim Museum in Bilbao.
I look forward to seeing you in Pamplona next September!
Lola Ugarte
Chair of the Organizing Committee
=========================================================================
Date: Mon, 19 Dec 2005 12:21:35 +0000
Reply-To: Kate Paton <[log in to unmask]>
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<[log in to unmask]>
From: Kate Paton <[log in to unmask]>
Subject: Advance Notice: Young Statisticians Meeting 2006
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The Young Statisticians' Meeting 2006 will take place in Edinburgh on the=20
19th and 20th of April.
Participants in this annual event are career-young statisticians. Typical=20
delegates are either in the final stages of a Ph.D. or Msc, or have been=20
working as a practising statistician in an academic, medical, industrial or =
business environment for up to five years.=20
The meeting has enjoyed considerable success and has grown in recent years=20
to a level where it now attracts over 100 participants from Ireland, the UK =
and further afield.
The conference provides a forum for participants to exchange research=20
ideas, both formally (through oral and poster presentations) and informally =
(over lunch, dinner and at the evening receptions). The meeting is intended =
to foster greater interaction between statisticians working in different=20
fields and to provide an oportunity for individuals new to the field to=20
meet key employers and organisations.
The meeting consists of parallel sessions during the day with a poster=20
session and sponsors=92 wine reception during the evening of Wednesday April=
=20
19th and the conference dinner on Thursday the 20th. This year's guest=20
speakers will be Shelia Bird from the MRC Biostatistics Unit=20
(http://www.mrc-bsu.cam.ac.uk) and Anna Rosling from the Gapminder=20
Foundation (http://www.gapminder.org/news.htm).
The themes of individual parallel sessions will be finalised early next=20
year. As a guide, previous meetings have included sessions on environmental =
statistics, medical and pharmaceutical statistics, theoretical statistics,=20
statistical computation, engineering statistics, quality control and=20
financial stochastic modelling.
Full details of the conference programme will be posted on the YSM2006=20
website (www.show.scot.nhs.uk/indicators/ysm2006.htm) as they are finalised =
and=20
a call for papers and posters will be sent out in the new year.
In the meantime, if you have any queries about the event please contact us=20
at [log in to unmask]
We look forward to seeing many of you at the conference.
YSM2006 Team.
=========================================================================
Date: Mon, 19 Dec 2005 12:21:59 +0000
Reply-To: David Crabb <[log in to unmask]>
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<[log in to unmask]>
From: David Crabb <[log in to unmask]>
Subject: Query: age related reference intervals
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We are trying to establish an age-related Normal Reference range for a=20
parameter from medical imaging. This measurement varies with age and=20
another parameter, lets call it V1. If we consider v1 then the=20
relationship seems linear for a part of the age range (after taking logs!)=20
but the variability increases in the older groups. I think the term is=20
heteroscedascity. We have fitted a loess function to this and it mimics=20
the apparent relationship well. We would like to establish reference=20
intervals (possibly with anon-parametric approach) and the data set is=20
probably large enough =96 Any ideas when using locally weighted regression? =
I would be grateful for any advice, references, papers, software or=20
techniques that the list is aware of? Many thanks.
=========================================================================
Date: Mon, 19 Dec 2005 14:08:49 +0000
Reply-To: Madan Kundu <[log in to unmask]>
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<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Re: Question: Proc Logistic in SAS
Comments: To: Colleen Mckay <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
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Hi Collen,
Have you solved the problem? If it is then please send the answer of your question. Your question is very much interested. I have also faced with similar problem.
with regards,
Madan
Colleen Mckay <[log in to unmask]> wrote:
Hi,
I am using Proc Logistic in SAS to work out which independent variables in
may data set predict a binary dependent variable (predicting event=1,
meaning the probability of the event occuring).
The purpose of the model is not for prediction, but to guide which
varaibles are associated in contributing to the event occuring or not, so
therefore the parameter estimates are of prime importance rather than the
predicted probabilities. I am happy with my parameter estimates and they
seem to make sense and are in the expected direction but I am having
difficulty with the fit statistics.
I am using the lackfit option on the model statement (Hosmer & Lemeshow
goodness-of-fit test) which produces a chi-square value of 453.1406 with
df=8 and p<0.0001 indicating that the model is not a good fit. Also I am
using rsquare option on the model statement which produces an R-square of
0.1437 and a Max-rescaled R-square of 0.1976.
My question is that does it matter that the model does not seem to fit
that well? Are my parameter estimates valid to use? If not what modelling
strategies should I use, so that I get a better fit?
Thanks in advance
Colleen Spence
email: [log in to unmask]
--------------
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web: http://www.freewebs.com/madanstata
mobile: 91-9868788406
e-mail: [log in to unmask]
Send instant messages to your online friends http://in.messenger.yahoo.com
=========================================================================
Date: Mon, 19 Dec 2005 14:11:57 +0000
Reply-To: "[log in to unmask]" <[log in to unmask]>
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<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: JOB: Contract SAS Programmer
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Dear Allstaters
Job title: SAS Programmer
Job type: Contract
Start date: January 2006
Duration: 8 months (until end August 2006)
Rate: Up to 47 pounds per hour
Our client, one of the largest pharmaceutical companies in the world, require a SAS Programmer for
a contract lasting until end of August 2006. This also has a good chance of extension . The role
will be a mixture of primary programming and validation, for derived datasets, tables, figures and
data listings, for clinical trials. The company is based to the South West of London and 5 mins
walk from the train station with direct trains to London (30 Mins). Please send your CV or call for
further details.
Also, visit out website for other opportunities in the UK and Europe.
Primoris Contract Solutions Ltd
Tel: 07092 150054
http://www.primoriscs.co.uk
Email: [log in to unmask]
----=_NextPart_000_000B_7A576B78.90C6486D--
=========================================================================
Date: Mon, 19 Dec 2005 14:34:12 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: ANNOUNCE - RSS Young Statisticians networking event
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You are warmly invited to...
YOUNG STATISTICIANS* NETWORKING EVENT
Sponsored by Quintiles
5.30-7.30pm, Wednesday 25 January
Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
Career young? Undergraduate? Analyst? Postdoc? PhD? Consultant?
Programmer? User of statistics? Clinical trials? Research? Bayesian?
Non-bayesian? Quality? Six Sigma? Official statistics?
Bioinformatics? Environmental? Cancer research? Climate change?
Risk? Transport? MCMC? Pharma? Epidemiology? Gender? Finance?
Policy-maker?
Networking or getting to know others in your discipline is an integral
part of professional development. For young statisticians, networking
helps you to make connections with others working in statistics and
gives you experience of talking informally about your work.
Whether you're just starting out in statistics or you have been working
for a few years, whatever your background, come and meet some other
'career young'* statisticians over a glass of wine after work in a
relaxed, casual environment. You don't need to be a member and feel
free to bring a colleague from work, fellow student or a researcher from
your department. Do let us know you are coming by emailing:
[log in to unmask]
This networking event is the first organised as part of the RSS strategy
to encourage those at the early stages of their careers in statistics.
We would like to hold more events for career young statisticians - if
you want to suggest what we could do next then come along or go to:
www.rss.org.uk/youngstatisticians
*We are defining 'career young' statisticians as those in the first ten
years of their career, still studying and/or under 40.
How to find us:
Nearest tubes: Moorgate, Old Street, Barbican
Nearest station: London Liverpool Street
<http://www.multimap.com/map/browse.cgi?client=3Dpublic&search_result=3D&=
db=3D
pc&cidr_client=3Dnone&lang=3D&pc=3DEC1Y8LX&advanced=3D&client=3Dpublic&ad=
dr2=3D&quic
ksearch=3Dec1y+8lx&addr3=3D&addr1>=3D
I hope to see you there.
Many thanks,
Janet
Janet Lindley
Administrative Officer, Director General's Office
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
> Join the Royal Statistical Society today. For more details go to
> http://www.rss.org.uk/join
>=20
>=20
=========================================================================
Date: Mon, 19 Dec 2005 20:12:41 +0530
Reply-To: Joshua N Pritikin <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Joshua N Pritikin <[log in to unmask]>
Subject: QUERY: analysis of variance across lots of means
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
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Suppose I want to estimate 100 independent means. Each participant
rates 100 independent questions and fills in some biographical info
(mastery of english, level of education, etc).
How do I run analysis of variance on this data set? Do I run a separate
linear regression for each mean and then average the variance
statistics?
Or is there a special procedure to handle this type of problem?
I'm using R and I'm a beginner at statistics.
----- End forwarded message -----
--
Make April 15 just another day, visit http://fairtax.org
=========================================================================
Date: Mon, 19 Dec 2005 17:43:34 -0000
Reply-To: John Polak <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: John Polak <[log in to unmask]>
Organization: Imperial College London
Subject: JOB: Research post in transport middleware development at
Imperial College London
MIME-Version: 1.0
Content-type: text/plain; charset=ISO-8859-1
Content-transfer-encoding: Quoted-printable
Centre for Transport Studies
Imperial College London
Research Associate in Middleware Development
National Transport Data Framework
Salary: =A322,870 - =A333,330 per annum, dependent on experience
Fixed-Term Appointment for 24 Months in the first instance
The aim of this project, which is supported by the UK Department for
Transport is to develop a software framework (National Transport Data
Framework) to enable the sharing and integration of a wide variety of
different types of real time and historic transport data amongst diverse u=
sers.
The project will involve the development of middleware and number of speci=
fic
applications to demonstrate the operation of the framework. The project wi=
ll
involve close collaboration with the transport industry and relevant publi=
c
authorities and academic researches.
The NTDF is a collaborative venture between the Centre for Transport
Studies at Imperial College London and academic groups at Cambridge
University. A second research associate post will be based at Cambridge an=
d
the two will work closely together in the development of the National
Transport Data Framework.
Applicants should be qualified to doctoral level (or have equivalent profe=
ssional
experience) in a relevant aspect of computer science or a closely related
discipline. The post will require skills in middleware development and som=
e
familiarity with e-science concepts. The project will need to handle high-=
volume
data streams, and experience with such systems would be an advantage. The
design will involve web services, WSDL, UDDI and XML. Candidates who are
familiar with the main e-science packages released by OMII will be preferr=
ed.
Prior experience in transport modelling is also desirable, but not essenti=
al.
Application forms can be downloaded from:
http://www.imperial.ac.uk/employment/academicform.htm
Please send completed application forms and an up-to-date CV to:
Professor John Polak
Centre for Transport Studies
Department of Civil and Environmental Engineering
Imperial College London
London, SW7 2AZ
E-mail:[log in to unmask]
W: http://www.imperial.ac.uk/cts
Fax: +44(0)20-7594-6102
Closing date: 6 January 2006
Valuing diversity and committed to equality of opportunity
--
Prof. John Polak
Centre for Transport Studies
Imperial College London
http://www.imperial.ac.uk/transport-studies
=========================================================================
Date: Mon, 19 Dec 2005 17:44:51 +0000
Reply-To: Stats Workshop <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stats Workshop <[log in to unmask]>
Subject: Reminder: LASR 2006 - call for abstracts
MIME-Version: 1.0
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LASR 2006
INTERDISCIPLINARY STATISTICS AND BIOINFORMATICS
Leeds, UK 4th - 6th July 2006
CALL FOR ABSTRACTS
ABSTRACTS OF CONTRIBUTED PAPERS AND POSTERS ARE NOW REQUESTED
THE DEADLINE FOR ABSTRACTS IS 31 JANUARY 2006
The 2006 Leeds Annual Statistical Research Workshop will focus on
developments in interdisciplinary statistics and in particular the
interface between statistical methodology and bioinformatics.
This is the 25th LASR Workshop, and to celebrate this anniversary the
conference dinner will be held at the Royal Armouries Museum in Leeds.
For details of confirmed speakers at the Workshop, with titles and
abstracts from some of the key speakers, please see our web site at
http://www.maths.leeds.ac.uk/lasr2006
Abstracts should be one or two paragraphs in length, outlining the work
that you would like to present. Please indicate whether you would prefer
to present your work as a short talk or as a poster presentation.
If your abstract is accepted, we will invite you to submit an extended
abstract of up to four pages for inclusion in the workshop proceedings.
Stuart.
--
Dr Stuart Barber
Leeds Annual Statistical Research Workshops,
Department of Statistics, University of Leeds, Leeds LS2 9JT
web: http://www.maths.leeds.ac.uk/statistics/workshop
=========================================================================
Date: Tue, 20 Dec 2005 00:00:50 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Stephanie Ellis <[log in to unmask]>
Subject: Disused Email Account
In-Reply-To: <[log in to unmask]>
Thank you for your mail, unfortunately this email address no longer exists at Intelect. All enquiries for this email address should be forwarded to [log in to unmask]
Admin
=========================================================================
Date: Tue, 20 Dec 2005 09:03:31 -0000
Reply-To: Mike Procter <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Mike Procter <[log in to unmask]>
Subject: help
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sorry, but i can't find leaving instructions ---- wouoldsome kind person =
direct me?
=========================================================================
Date: Tue, 20 Dec 2005 09:55:15 +0100
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Angelika Schaffrath Rosario <[log in to unmask]>
Subject: AW: Query: age related reference intervals
Comments: To: [log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset="Windows-1252"
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Dear David,
I can give you a long list of references. We have a large dataset with =
data regarding children. Many parameters change appreciably over the =
course of childhood and adulthood, so you need quite complex methods. It =
seems to me that if you model age-related reference intervals in =
adulthood, simpler models may suffice.
Here is the simpler solution:=20
Altman DG. Construction of age-related reference centiles using absolute =
residuals. Statistics in Medicine 12, 917-924 (1993)
And the more complex ones:
Cole TJ, Green P (1992) Smoothing reference centile curves: The LMS =
method and penalized likelihood. Statistics in Medicine 11: 1305-1319.
Royston P, Wright EM (1998) A method for estimating age-specific =
reference intervals ('normal ranges') based on fractional polynomials =
and exponential transformation. Journal of the Royal Statistical =
Society, Series A 161: 79-101.
Rigby RA, Stasinopoulos DM (2005) Generalized additive models for =
location, scale and shape. Applied Statistics 54: 507-554.
Borghi E, de Onis M, Garza C et al. for the WHO Multicentre Growth =
Reference Study Group (in press) Construction of the World Health =
Organization child growth standards: selection of methods for attained =
growth curves. Statistics in Medicine.
Something on goodness of fit:
Royston P, Wright EM (2000) Goodness-of-fit statistics for age-specific =
reference intervals. Statistics in Medicine 19: 2943-2962.
van Buuren S, Fredriks M (2001) Worm plot: a simple diagnostic device =
for modelling growth reference curves. Statistics in Medicine 20: =
1259-1277.
Pan H, Cole TJ (2004): A comparison of goodness of fit tests for =
age-related reference ranges. Statistics in Medicine 23: 1749-1765.
Greetings,
Angelika
----------------------------------------------------
Angelika Schaffrath Rosario, Stat.
Robert Koch-Institut
Abt. Epidemiologie und Gesundheitsberichterstattung
Seestr. 10, D-13353 Berlin
Tel. ++49 (0)1888 754-3656 Fax -3333
e-Mail: [log in to unmask]
-----Urspr=FCngliche Nachricht-----
Von: A UK-based worldwide e-mail broadcast system mailing list =
[mailto:[log in to unmask]] Im Auftrag von David Crabb
Gesendet: Montag, 19. Dezember 2005 13:22
An: [log in to unmask]
Betreff: Query: age related reference intervals
We are trying to establish an age-related Normal Reference range for a=20
parameter from medical imaging. This measurement varies with age and=20
another parameter, lets call it V1. If we consider v1 then the=20
relationship seems linear for a part of the age range (after taking =
logs!)=20
but the variability increases in the older groups. I think the term is=20
heteroscedascity. We have fitted a loess function to this and it mimics=20
the apparent relationship well. We would like to establish reference=20
intervals (possibly with anon-parametric approach) and the data set is=20
probably large enough =96 Any ideas when using locally weighted =
regression?=20
I would be grateful for any advice, references, papers, software or=20
techniques that the list is aware of? Many thanks.
=========================================================================
Date: Tue, 20 Dec 2005 09:05:35 -0000
Reply-To: Paul Warren <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Paul Warren <[log in to unmask]>
Subject: Please unsubsribe me from this mailing list.
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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> Paul Warren
> Consultant
> Modis
>
> 33 Queen Street, London, EC4R 1BR
> Direct: +44 (0)20 7038 6465
> Fax: +44 (0)20 7038 6401
> Mobile: +44 (0)7958 754011
> email: [log in to unmask]
> web: www.modisintl.com
>
>
>
*******************************************************************************************************************
This message is confidential. Personal data, or information which identifies a living person from the data, will not be disclosed unless provided for within the confines of the data protection laws. If you have received this message in error please delete it and notify the sender immediately. You should not retain the message or disclose its contents to anyone. If you require assistance please contact the sender.
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=========================================================================
Date: Tue, 20 Dec 2005 15:06:03 +0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alan Gordon <[log in to unmask]>
Subject: Seminar: NI Local Group RSS
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Content-Disposition: inline ;Creation-Date="Tue, 20 Dec 2005 15:06:03 +0000"
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Dear All,
A meeting of the Northern Ireland Local Group of the RSS will be held at
4:00PM on Wednesday 11th January 2006, in Room 211 in the Peter Froggatt
Centre at Queen's University Belfast. The speaker will be Malcolm Faddy
from the Queensland University of Technology. Details of the talk are as
follows:
Dispersion Modelling for Count Data
Abstract: The standard discrete distributions binomial, Poisson and
negative binomial have an equivalent representation in terms of Markov
(birth) processes. By generalising the transition rates of such
processes, more general distributions exhibiting both over- and
under-dispersion can be constructed. Covariates can also be incorporated
into the transition rates, leading to a very general modelling
framework. The resulting methodology will be illustrated using a number
of data sets old and new.
ALL VERY WELCOME
Alan Gordon
Biometrics Branch
DARD Science Service*
Food Science Centre
Newforge Lane
Belfast
BT9 5PX
tel: 028 902 55532
fax: 028 902 55008
email: [log in to unmask]
[*From 1 April 2006, DARD Science Service and the Agricultural Research
Institute of Northern Ireland will combine to form a new DARD
Non-Departmental Public Body, the "Agri-Food and Biosciences Institute"
(AFBI).]
=========================================================================
Date: Tue, 20 Dec 2005 17:13:45 +0000
Reply-To: Ebenezer Okyere <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ebenezer Okyere <[log in to unmask]>
Subject: Distribution of a vector.
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Dear Allstat,
I want to generate the distribution of a vector (X,Y).
Can any one on the list be of help -- give some
guidance on how to go about it, lead me to some
publications or some
codes in "R", Splus or SAS.
Ebenezer Okyere
ISM Duesseldorf.
___________________________________________________________
NEW Yahoo! Cars - sell your car and browse thousands of new and used cars online! http://uk.cars.yahoo.com/
=========================================================================
Date: Tue, 20 Dec 2005 18:37:32 -0000
Reply-To: "Kulinskaya, Elena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kulinskaya, Elena" <[log in to unmask]>
Subject: a job in statistical genomics at Imperial
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Consultant in Statistical Genomics=20
(Statistical Advisory Service)
=20
Faculty of Medicine
=20
=A326,120 - =A333,330 per annum (inclusive of London Allowance)
=20
The mission of the Statistical Advisory Service of Imperial College is =
to enhance the quality of research within the college by providing =
excellent statistical advice to research staff and students throughout =
the college.
=20
This new post represents an expansion of the Service, following its =
successful inauguration during early 2004. We are now seeking a new =
consultant to work with the Director and two existing statistical =
consultants. Suitable candidates will have strong experience in applied =
statistics, in addition to communication and problem-solving skills. =
The potholder will specialize mainly in the statistical analysis of data =
generated by contemporary computer-intensive investigative methods in =
genomics and related fields, including large-scale SNP or DNA sequence =
data, microarrays, proteomics and metabonomics. Applicants should have =
some expertise in one or more of these areas, and/or a strong interest =
and willingness to learn: some training can be provided.
=20
The appointment will be for two years in the first instance, though =
further extension is expected.
=20
To obtain an application form and further details go to =
www.imperial.ac.uk/employment, Alternatively write to the Recruitment =
Assistant, Human Resources Division, Imperial College, Royal Brompton =
Campus, Dovehouse Street, London SW3 6LY quoting reference number =
RJ46-05.=20
=20
Closing date: 17 January 2006
=20
Valuing diversity and committed to equality of opportunity.
=20
Informal enquiries to Dr Elena Kulinskaya, [log in to unmask]
=20
=20
=20
=========================================================================
Date: Wed, 21 Dec 2005 11:00:03 -0000
Reply-To: "Payne, Bradley" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Payne, Bradley" <[log in to unmask]>
Subject: Course Reminder for 2006
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
The following course will be of interest to anyone involved in the =
teaching of statistics. Please register early to guarantee a place.=20
Course: Best Practice in Tutorials and Practicals=20
Thursday 19th January 2006
A One-Day Workshop at the RSS Offices, London
by Paul Baxter & Stuart Barber from The University of Leeds
Synopsis
Small group tutorials are an important part of many elementary =
undergraduate statistics courses; the trend towards large lecture groups =
means they often provide the only real opportunity to give individual =
help and guidance. However, students do not always take advantage of =
this opportunity. Moreover, postgraduate students who act as tutors =
sometimes feel ill-prepared for this important role. We aim to share =
practical advice on making the most of tutorials and encouraging student =
interaction.
Practical sessions (often involving the use of a computer and real data) =
can be a key feature of undergraduate statistics at all levels; when =
used effectively they help to set the material in context and motivate =
student learning. Designing and running a successful practical is not =
straightforward. The examples need to be challenging and realistic, yet =
technicalities and computing issues should not distract from the =
underlying concepts. We aim to discuss the components of good practicals =
across the undergraduate curriculum.
Both topics will be illustrated by a wide range of examples, and =
delegates will be invited to discuss their own experiences with the rest =
of the group. The session is targeted at academic staff who design =
tutorials and practicals, and the postgraduates that help to run them.
Provisional Timetable
10.00-10.15 Registration and Welcome
10.15-11.15 Tips and hints for running a tutorial
11.15-11.30 Coffee Break
11.30-12.30 Case studies
12.30-13.30 Lunch
13.30-14.30 What makes a good practical?
14.30-14.45 Tea Break
14.45-15.45 Case studies
15.45-16.00 Discussion and Close
Cost: =A355 includes tea, coffee, lunch and course materials (discounts =
available for participants from same university/college/workplace - =
=A3100 for two, =A3140 for three)
Registration: Contact Brad Payne on 0115 8488410 or email =
[log in to unmask] <mailto:[log in to unmask]>=20
(Please state if you have any special dietary requirements)
Biopics:
Paul Baxter is a lecturer in Statistics in the School of Mathematics at =
the University of Leeds. He takes an active interest in issues of =
learning and teaching, and has recently written an article for the =
newsletter of the Maths, Stats and OR Network. He has experience of =
teaching undergraduates from mathematical and non-mathematical =
backgrounds, as well as short courses designed for industry, commerce =
and the public sector. He has recently undertaken consultancy work for =
West Yorkshire Police, and seeks to promote Statistics in his role as =
Secretary/Treasurer of the Royal Statistical Society Leeds/Bradford =
Local Group. His research interests include non-parametric regression =
using the wavelet transform, and statistical modelling in the =
environmental and physical sciences.
Stuart Barber is a lecturer in Statistics in the School of Mathematics =
at the University of Leeds with a keen interest in practical learning =
and teaching issues. He has taught statistics to mathematicians, =
medics, biologists and business students from foundation to masters =
levels as well to many practicing research scientists. Research =
interests are primarily wavelet methods in statistics, group sequential =
clinical trials and survival analysis.
=========================================================================
Date: Wed, 21 Dec 2005 11:48:33 -0000
Reply-To: "Fildes, Robert" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Fildes, Robert" <[log in to unmask]>
Subject: Job and Doctoral Listing in Forecasting
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Lancaster University (Positions in Forecasting)
Department of Management Science
Lecturer (Assistant Professor) in Forecasting=20
=A3 30,000 - =A340,000 (including pension contribution)
Applicants should have a research interest in any aspect of forecasting =
including econometric methods, time series and forecast evaluation. The =
successful candidate will contribute to the work of the department, =
educating students in all aspects of forecasting and supervising masters =
and PhD projects with public or corporate businesses. They will be a =
member of the Lancaster Centre for Forecasting =
<http://www.lums.lancs.ac.uk/Research/Centres/forecasting/> =
(http://www.lums.lancs.ac.uk/Research/Centres/forecasting) which hosts =
the largest research unit dedicated to Forecasting in Europe.
Doctoral Studentship (for UK/ EU candidates: other highly qualified =
candidates will be considered). =A312500 tax free plus fees. Available =
immediately.
Applicants should have a research interest in any aspect of forecasting. =
The successful candidate will have a good grounding in statistics in =
either their first degree or masters. They will join the Lancaster =
Centre for Forecasting =
<http://www.lums.lancs.ac.uk/Research/Centres/forecasting/> =
(http://www.lums.lancs.ac.uk/Research/Centres/forecasting) which hosts =
the largest research unit dedicated to Forecasting in Europe.
Informal enquiries to Professor Robert Fildes, Head of Department (+44 =
(0) 1524 593879, [log in to unmask])
=========================================================================
Date: Wed, 21 Dec 2005 11:54:58 +0000
Reply-To: "[log in to unmask]" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: JOB: Contract Statisticians
MIME-Version: 1.0
Content-Type: multipart/mixed;
boundary="--=_NextPart_000_000B_7A576B78.90C6486D"
This is a multi-part message in MIME format.
----=_NextPart_000_000B_7A576B78.90C6486D
Content-type: text/plain; charset="US-ASCII"
Dear Allstaters
Job title: Statistician
Job type: Contract
Location: Belgium
Start date: January 2006
Duration: 12 months
Our client, a large pharmaceutical company based in Belgium, require 2 Statisticians for a 12-month
contract. The role will be statistical analysis and reporting of clinical trials in the
Neuroscience therapeutic area. You should have a degree in Statistics and at least 3 years
experience as a statistician in clinical trials. You should also have strong SAS programming
skills. Please send in your CV or call for further details.
Also, visit out website for other opportunities in the UK and Europe.
Primoris Contract Solutions Ltd
Tel: 07092 150054
http://www.primoriscs.co.uk
Email: [log in to unmask]
----=_NextPart_000_000B_7A576B78.90C6486D--
=========================================================================
Date: Wed, 21 Dec 2005 11:57:43 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT - Senior Biostatistician
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
CONTRACT - Senior Biostatistician=20
=20
Salary: EURO 80ph=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics=20
Position type: Contract=20
Location: Belgium=20
=20
Background:=20
=20
My client has a 12 month contract available to start from early 2006 for
a 12 month period. Working within Neuroscience - psychosis trials
candidates must have 3 years industry experience, a MSc in Statistics
with good SAS programming skills. This role will be based full time on
site, candidates must speak fluent English.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV, quoting the reference
'grv-4505'.=20
=20
Kind regards
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
through our networks. Any views expressed in this message are those of
the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Wed, 21 Dec 2005 12:47:04 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB:Credit Risk Analysts,
=?ISO-8859-1?Q?=93New_Year,_Fresh_Start!!_Read_On=85=94?=
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Dear All
Want to become part of a nationally renowned financial organisation? My=20
client is seeking expert Statisticians to join their Credit Risk=20
Department.=20
Based in Scotland you should be highly motivated and ready to face the=20
next challenge in your analytical career. You will provide a range of=20
analysis therefore you should have a flair for numbers and have excellent=20
problem solving capabilities.=20
Your role will focus on the interpretation of data sets in order to=20
determine trends in Credit Risk; an understanding of the analysis used for=20
risk would therefore be an asset to your application. Suitable candidates=20
will be those with a numerical degree in subjects such as Mathematics,=20
Statistics or Econometrics.=20
Ideally this will be supported by upwards of 2 years statistical=20
experience, especially from those with a background in Finance. Knowledge=20
of Statistical Packages such as SAS, SPSS and S+ would add emphasis to=20
your application, in addition to applying them to Statistical Techniques=20
such as Regression and Multivariate Analysis. Call today to arrange an=20
interview!!=20
Location: Scotland
Salary: =A328k plus benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9081/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Allison Stacey
Corporate Recruiter
0207 861 9987
=20
=========================================================================
Date: Wed, 21 Dec 2005 12:49:29 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB:Senior Statistics Managers
=?ISO-8859-1?Q?=93Change_your_Life,_Change_your_Career!=94?=
Exciting Management opportunities for the New Year!
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Hello Everyone,
Are you a clinical / bio statistician who excels in your field or, do you=20
have Statistical experience in the pharmaceutical industry? My client, a=20
leading global CRO is seeking the expertise of Senior Statistical Manager=20
to team lead their Statistics department.=20
They are looking for high quality statisticians; therefore you should have=20
project leadership experience coupled with the right technical skills and=20
personality. Much of the role will involve regular contact with clients=20
who include those in the pharmaceutical, medical and biostatistics=20
industries therefore you should feel confident in a client facing role.=20
You should have a thorough understanding of Statistical Packages such as=20
SAS as you will be expected to do some SAS programming. Ideally you will=20
have upwards of 4 years Statistical experience in the Biostatistics=20
industry plus excellent interpersonal skills as a large portion of the=20
role will involve colleague and client interaction.=20
An understanding of Statistical Techniques such as Linear Regression,=20
Multivariate Analysis, Sample Size Calculations and randomisation would=20
add emphasis to your application. Call today to find out more about this=20
vacancy and many more!=20
Location: Scotland, South East, East
Salary: Package to =A345k plus benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9080/SB in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Allison Stacey
Corporate Recruiter
0207 861 9987
=========================================================================
Date: Wed, 21 Dec 2005 16:53:00 +0100
Reply-To: "[log in to unmask]" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "[log in to unmask]" <[log in to unmask]>
Subject: QUERY: Environmental forecasting
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Dear Allstaters,
Anybody knows any relevant reference on forecasting=20
pollen levels using Poisson regression or even Zero Inflated Poisson=20
models?.
Thanks indeed & Merry X'Mas.
Prueba el Nuevo Correo Terra; Seguro, R=C3=A1pido, Fiable.
=========================================================================
Date: Wed, 21 Dec 2005 15:57:43 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: Re: JOB: Space Insight Analyst & Senior Space Insight Analyst
required for Space Insight Team =?ISO-8859-1?Q?=96?= North London
Hi all,
An exciting opportunity has arisen for an Analyst to join a nationally
accredited blue chip company. Your role will become integral to the
successful performance of the organisation as they heavily rely on their
statistics department. You will examine the underlying causes of the
performance of the stores at various locations and understand the
competition posed by competitors of a similar nature and predict how to
surpass them. You will additionally explain and give insight on how space
can optimise trading performance.
In order to perform the senior role you will need to have client facing
skills and be able to present your findings to appropriate audiences in a
non-technical format. Skills that would be useful for this role includes a
knowledge of Statistical Packages such as SAS, SPSS, S-Plus or similar
along with SQL or Access and have the ability to use these tools to
perform your analysis such as Regression Analysis and Multivariate
Analysis. Additionally you will have a degree Class 2:1 or above in a
numerical, statistic or operational research discipline. Apply today to
arrange an interview!
Location: North London
Salary: Negotiable up to c.35K + Tasty Benefits
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9082/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 21 Dec 2005 15:59:52 +0000
Reply-To: Alison Stacey <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Alison Stacey <[log in to unmask]>
Subject: JOB: Econometrician
=?ISO-8859-1?Q?=96_Statistician_required_for_Marketing_Analytics_Consultancy_=96?= West
Yorkshire
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Hello all,
My client, a rapidly growing Marketing Insight Consultancy based in West=20
Yorkshire are seeking and Econometrician with upwards of 1 year experience=20
in a similar role to support Quantitative Analytics in delivery of added=20
value Statistical services, client handling, proposal writing, analysis=20
design / execution, reporting and debriefing.=20
You will be developing the econometric offer which comprises of=20
statistical development of existing concepts and ideas and development of=20
fresh ideas. You will take full responsibility for all quantitative=20
debriefs from a market analytics viewpoint and to work with colleagues in=20
a mentoring role to ensure maximum value is generated from all proposals.=20
This is a fantastic opportunity for an Econometrician to come in and=20
really make a name for themselves, the future of the role will include=20
people management, broader econometric training and development for your=20
clients. You will have a degree in a numerical, econometrics or=20
statistical discipline, however an additional degree such as an MSc or PhD=20
would be an advantage when applying.=20
You will have a good knowledge of Statistical Packages such as SAS, SPSS,=20
S-Plus or similar and experience of using Statistical Techniques such as=20
Regression Analysis, CHAID, Multiple Regression and Econometrics would be=20
of great advantage. Apply today to arrange an interview!
Location: West Yorkshire
Salary: Negotiable up to c.=A335K + Benefits=20
To apply or for more information:
Call and / or send your CV to: [log in to unmask]
Please quote ref: AS/9085/MR in the subject line
Visit us at: http://www.corporate-recruiter.co.uk/JobSearch.aspx
Kind regards
Alison Stacey
Corporate Recruiter
020 7861 9987
=========================================================================
Date: Wed, 21 Dec 2005 16:42:59 -0000
Reply-To: "Macfarlane, Alison" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Macfarlane, Alison" <[log in to unmask]>
Subject: FW: Health Statistics Users Group/ RSS Official Statistics
Section meeting on disclosure control
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-----Original Message-----
From: Macfarlane, Alison=20
Sent: 21 December 2005 13:48
To: [log in to unmask]; [log in to unmask];
[log in to unmask]; [log in to unmask];
[log in to unmask]; [log in to unmask];
[log in to unmask]; [log in to unmask];
[log in to unmask]
Subject: Health Statistics Users Group/ RSS Official Statistics Section
meeting on disclosure control
Apologies for cross-posting. Please forward to any relevant lists. ONS =
assures me that the consultation document will soon appear here. =
http://www.statistics.gov.uk/about/consultations/open.asp
Joint meeting of RSS Official Statistics Section and the Health
Statistics Users Group=20
Monday 9 January, 2-5pm, at the RSS (tea at 3.15pm)
Health Statistics: balancing the benefits of publishing detailed
statistics against the potential risks of disclosure
A discussion on the consultation document on statistical disclosure
control of health statistics.
RICHARD WILLMER (Department of Health)
Introduction: why the work needs to be done
PAUL JACKSON (ONS)
Why is confidentiality important?
JANE LONGHURST (ONS)
Ensuring access to figures while reducing the risk of disclosure
PETER GOLDBLATT (ONS)
Issues for consultation
followed by open discussion=20
You can register for the meeting by email: [log in to unmask] or by
phone (020) 7638 8998.
-----Original Message-----
From: Macfarlane, Aliso=20
Sent: 08 December 2005 09:41
To: Peter Goldblatt; Gentry, Paul
Cc: Goddard, Ivor; [log in to unmask]
Subject: RE: meeting on disclosure control
I have just done that!
Here is my take on the programme, but the titles are very approximate or
nonexistent. Peter, can you please give us more accurate titles.
Paul, what else do you need for RSS News?
Can you then please provide me with a plain text email to forward to all
and sundry
Health Statistics Users Group and RSS Official Statistics Section Joint
meeting to discuss consultation document for disclosure control policy
for Health Statistics.
Monday January 9, 2.00pm-5.00pm
Royal Statistical Society, 12 Errol Street London EC1
Why ministers wanted work done? Richard Willmer, Department of Health,
What's in the document
Jane Longhurst, ONS Methods Branch
Paul Jackson, ONS Policy Branch
Closing remarks. Peter Goldblatt
3.15pm Tea, followed by discussion until 5pm
Alison
-----Original Message-----
From: Peter Goldblatt [mailto:[log in to unmask]]
Sent: 06 December 2005 19:17
To: [log in to unmask]
Cc: Macfarlane, Alison; [log in to unmask]
Subject: RE: meeting on disclosure control
Paul
Many thanks - hopefully Alison can provide final confirmation that HSUG
accept the date.
Peter
=20
[log in to unmask]
uk To: Peter
Goldblatt/DHD/SESAG/LONDON/ONS@ONS =20
cc:
[log in to unmask], [log in to unmask]
06/12/2005 10:39 Subject: RE: meeting on
disclosure control =20
=20
=20
Peter
There are no clashes on 9 January so I have provisionally booked the
Lecture Theatre for the meeting.
Regards
Paul
-----Original Message-----
From: Peter Goldblatt [mailto:[log in to unmask]]
Sent: 05 December 2005 16:35
To: Gentry, Paul
Cc: Garratt, Andrew; Goddard, Ivor; Lewis Chamberlain, Jonelle;
Macfarlane, Aliso
Subject: RE: meeting on disclosure control
Paul
After discussion with Alison and my colleagues involved in the
disclosure review.we are currently working with a date of 9 January.
However Alison has still to confirm with HSUG colleagues that this is
OK. Can you pencil in the date in the RSS room bookings for the moment
and she will get back to you to confirm.
In drawing up the programme, we are assuming a 2pm start and a 5 pm
finish.
Does this timing clash with any morning, lunchtime or evening meetingsin
the lecture theatre?
I have given Alison a list of suggested speakers and timings. We will
finalise these in time to get something to you this week for RSS NEWS, .
Peter
A.J.Macfarlane@ci
ty.ac.uk To:
[log in to unmask], [log in to unmask],
[log in to unmask],
[log in to unmask],
Peter Goldblatt/DHD/SESAG/LONDON/ONS@ONS
01/12/2005 19:59 cc:
Subject: RE: meeting on
disclosure control
Dear all,
Hope you are enjoying your dinner. I am about to go home and play music
in a pub as usual. I will get back to you about all this and contact
other HSUG committee members, but probably not before Monday.
Alison
-----Original Message-----
From: Goddard, Ivor [mailto:[log in to unmask]]
Sent: 01 December 2005 15:39
To: Macfarlane, Alison; Lewis Chamberlain, Jonelle; Gentry, Paul;
Garratt, Andrew; [log in to unmask]
Subject: RE: meeting on disclosure control
Dear All
Just so there is absolute clarity on this issue.
Peter Goldblatt rang me yesterday and asked me whether the Society
could organise a meeting on disclosure control with respect to
health
stats to coincide with an imminent ONS consultation on the
subject.
I spoke to Paul Gentry and we discussed which section/ group
within
the Society might be asked to champion this. It seemed relevant to
both the Official Statistics Sections and the Health Stats User
Group. Looking down the membership of the OSS Committee, we noted
Alison's name. She seemed to us an ideal person to ask to organise
the meeting since she also has (we believe) links into the HSUG.
Paul
was left to contact Alison and I rang Peter to say what I had
agreed
with Paul. From Alison's email, I assume that Peter then rang
Alison
direct.
We are therefore hoping that Alison will be responsible for
organising the meeting with help from Peter in identifying
speakers
and discussants, from Jonelle in rooms and catering, and from Paul
in
marketing and advertising. As far as I know, HSUG has not yet been
approached, and if Alison could do that, that would be helpful;l.
Could Alison also get sanction from the chairs of OSS and HSUG for
this to be a joint meeting.
With respect to costs, RSS will provide the room and refreshments
(tea/ coffee). I asked Peter whether ONS could meet speaker
expenses
and he was sympathetic to this, without obviously signing a blank
cheque. Perhaps this aspect could be reviewed when the slate of
speakers and discussants is in place.
I hope the above works! The Society does want to be flexible in
responding to needs for timely meetings and this seems to be
exactly
the sort of process which is required. But the main load will fall
upon Alison and part of the reason for this clarification email is
to
make sure that she knows what we think she is taking on!
Best wishes
Ivor
Ivor J Goddard
Director General
Royal Statistical Society
www.rss.org.uk
From: Macfarlane, Aliso
Sent: 01 December 2005 12:50
To: Gentry, Paul; Garratt, Andrew
Cc: Lewis Chamberlain, Jonelle; Goddard, Ivor
Subject: RE: HSUG meetings
I did this in response to a phone call from Peter Goldblatt, who
said
he had already talked to Ivor who was going to talk to Paul. Peter
talked to me as I presume he tried to get Deana who was probably
out
of the country and I emailed Andrew as user group person. So there
is
only one meeting.
Alison
-----Original Message-----
From: Gentry, Paul [mailto:[log in to unmask]]
Sent: 01 December 2005 10:55
To: Macfarlane, Alison; Garratt, Andrew
Cc: Lewis Chamberlain, Jonelle; Goddard, Ivor
Subject: RE: HSUG meetings
Alison, Andrew
Before we all start duplicating work here can I just clarify
that the action point I had from a meeting with Ivor
yesterday
(following his own conversation with Peter Goldblatt) to
talk
to Alison about organising a joint half day meeting with
HSUG
and Official Stats section based on a proposal from Peter
Goldblatt is actually already being taken care of?
For info (1): the lecture theatre is available on the
following
dates: 9,10,11,23,24,30,31 January and 8 February
For info (2): I will basic information about the meeting for
RSS NEWS by next Friday at the latest.
Regards
Paul
From: Macfarlane, Aliso
Sent: 01 December 2005 09:46
To: Garratt, Andrew; Macfarlane, Aliso
Cc: Lewis Chamberlain, Jonelle; Gentry, Paul
Subject: RE: HSUG meetings
Dear Andrew,
The subject of the meeting has now changed. It is now on
disclosure control and Feb 9 would be the latest possible
date.
Peter Goldblatt has already talked to Ivor about this. Can
you
please tell me afternoons and evenings from Jan 9 to Feb 9
which might be possible. We are still interested in Feb 9 as
now the latest possible date.
Alison
Alison Macfarlane
Department of Midwifery
City University
24 Chiswell Street
London EC1Y 4TY
Phone (0) (44) 207 040 5832
Fax (0) (44) 207 040 5866
Email [log in to unmask]
-----Original Message-----
From: Garratt, Andrew [mailto:[log in to unmask]]
Sent: 16 November 2005 15:38
To: Macfarlane, Aliso
Cc: Lewis Chamberlain, Jonelle
Subject: HSUG meetings
Alison
You were interested in available dates in February for
a
one-day and a half-day event.
The available dates at the moment are 9, 13, 14, 17,
23,
24, 27 & 28 February.
Bookings come in all the time so I can't say for how
long
these will be free. The bookings should go through
either
Jonelle ([log in to unmask]) or Teresa (
[log in to unmask]).
Andrew
______
Andrew Garratt
Press & Public Affairs Officer, Director General's
Office
The Royal Statistical Society, 12 Errol Street, London
EC1Y 8LX
www.rss.org.uk
Tel: +44 20 7614 3920
Fax: +44 20 7614 3905
Join the Royal Statistical Society today. For more
details go to www.rss.org.uk/join
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=========================================================================
Date: Wed, 21 Dec 2005 17:31:38 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: CONTRACT - SAS Programmer - data warehousing
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CONTRACT - SAS Programmer in DM
=20
Salary: GBP 45ph+ DOE=20
=20
Business Type: Pharmaceutical Company=20
Job Type: Data Management/Statistics, Software Developer=20
Position type: Permanent=20
Location: United Kingdom - South East=20
=20
Background:=20
=20
My client requires a candidate to provide assistance with the
implementation of global company standards. You will migrate Legacy data
to company standards and to SDTM structure to support an NDA submission.
CDISC study data tabulation model migration experience would be
preferable. The contract is to start from early 2006 and run for 12
months. Candidates must have excellent SAS Programming abilities with at
least 3+ years in the pharmaceutical industry.=20
=20
Additional Information:=20
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business=20
=20
To apply, please reply with an up to date CV quoting the reference
'grv-4481'.=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
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take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 22 Dec 2005 11:26:27 -0000
Reply-To: "Kosmider, Rowena" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Kosmider, Rowena" <[log in to unmask]>
Subject: JOB: Modelling Science and Statistics Workgroup Leader
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Content-Type: text/plain; charset="iso-8859-1"
A Band B Modelling Science and Statistics Workgroup Leader in the Centre for
Epidemiology and Risk Analysis, Veterinary Laboratories Agency - Weybridge,
Addlestone, Surrey=20
There is a position available for a Modelling Science and Statistics
Workgroup Leader to lead an expanding team of mathematical modellers,
statisticians and other support staff. The post holder will provide
scientific leadership and management of the team engaged in research into
animal diseases and veterinary public health, plus national and
international consultancy. The post will also include collaborating within
other areas of the VLA, and first class research institutes to provide
modelling and statistical inputs into projects on a wide range of pathogens
as well as leading and developing modelling projects within the group. The
main duties include:
* Providing scientific leadership and advice for workgroup members including
leading further development of the VLA Statistics Strategy.
* Providing internal, national and international consultancy and advice on
work in which the team is involved.=20
* Managing the workgroup to ensure skills and resources are appropriately
planned and utilised, including responsibility for staff and budgetary
management, training and development, workgroup publications and adherence
to quality standards.
* Liaising with VLA Programme Managers, research funders and policy makers
to ensure future funding for projects.=20
* Maintaining contact networks with other researchers in appropriate fields
to maximise collaborative potential.=20
* Keeping up to date with developments in selected areas of the risk
analysis discipline.=20
* Developing personal field of expertise and maintaining own scientific
profile by conference attendance.
* Providing input to the Centre for Epidemiology and Risk Analysis strategy
and management, and deputising for the Head of the Centre when required.=20
The successful applicants should have a degree in a quantitative subject and
a demonstrated track record as an accepted expert in modelling science,
statistics or closely related discipline. It is unlikely that the successful
candidate will have less than a PhD in a relevant quantitative science.
Applicants should have experience of leading and managing a team of
scientists involved in research, including staff and resource management, a
demonstrated track record of success in obtaining substantial research
funding, experience of project leadership and experience of providing
scientific advice and consultancy outside their immediate colleagues at
national level. =20
Other necessary attributes include a motivated, enthusiastic and flexible
self-starter with the ability to inspire confidence in their team, their
colleagues and customers, a confident and clear oral communicator and a
willing and imaginative collaborator with a strong interest in veterinary
and/or public health. In addition, knowledge of, or experience in an aspect
of agriculture, veterinary or public health, or biology would be an
advantage, as would experience of project or staff management.=20
This post is a full-time permanent post in Pay Band B =A338,000 to =A352,86=
5 per
annum. If interested, please contact the VLA Personnel Department on
+44(0)1932357257 an application form to be sent to you (quoting reference
ADP3575).Alternatively, go to the Job Opportunities link on the VLA website
<http://www.vla.gov.uk.> The closing date for application forms is the 18th
January 2006.
Rowena Kosmider (n=E9e Jones)
Risk Analysis Workgroup
Centre for Epidemiology and Risk Analysis
Veterinary Laboratories Agency-Weybridge
New Haw, Addlestone
Surrey KT15 3NB
Email: [log in to unmask]
Tel: 01932 357753
Fax: 01932 357445
Veterinary Laboratories Agency (VLA)
This email and any attachments is intended for the named recipient
only.
If you have received it in error you have no authority to use, disclose,
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Communications on VLA's computer systems may be monitored and/or
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=========================================================================
Date: Thu, 22 Dec 2005 11:41:42 -0000
Reply-To: RSS Allstat Mailbox <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: RSS Allstat Mailbox <[log in to unmask]>
Subject: RSS - CPD Workshops - Applied Multilevel Modelling Workshops - 18
and 19 May 2006
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APPLIED MULTILEVEL MODELLING WORKSHOPS
The Royal Statistical Society=20
12 Errol Street, London, EC1Y 8LX
Thursday 18 May 2006 (09.30 - 18.00 hrs)=20
and
Friday 19 May 2006 2005 (09.30 -18.00 hrs)=20
The Royal Statistical Society will be running an Applied Multilevel =
Modelling workshop on Thursday 18 May 2006 and will repeat the same =
workshop on Friday 19 May 2006. N.B. These are two separate, =
stand-alone 1-day workshops. Participants are invited to attend on =
either 18 or 19 May 2006.=20
The aim of this workshop is to introduce the basic theory, general =
techniques and applications of multilevel models. Participants should =
have a sound knowledge of regression analysis and experience of using =
statistical modelling software. The latest release of the MLwiN =
software, version 2.02, will be used.=20
Both workshops are held under the auspices of the Royal Statistical =
Society and will be led by Professor Harvey Goldstein and Dr. Fiona =
Steele, University of Bristol.=20
Preliminary timetable:
09.30 - 10.00 Registration (refreshments)=20
10.00 - 10.30 Introduction to multilevel modelling
10.30 - 11.00 Random intercept, random slope models and residual =
estimates
11.00 - 11.15 Break (refreshments)=20
11.15 - 12.00 Repeated measures and multivariate data models
12.00 - 13.00 Generalised linear (discrete response) multilevel models
13.00 - 14.00 Lunch
14.00 - 14.30 MCMC (Markov Chain Monte Carlo) introduction
14.30 - 15.00 MCMC estimates for multilevel models
15.00 - 15.45 Bootstrapping for multilevel data
15.45 - 16.15 Break (refreshments)=20
16.15 - 17.00 Non hierarchical multilevel models I: =
Cross-classifications=20
17.00 - 17.45 Non hierarchical multilevel models II: Multiple =
membership structures=20
17.45 - 18.00 Resume and general discussion=20
The workshop fee is as follows:=20
=A3320 for non RSS fellows (non-academic) =A3250 for non RSS fellows =
(academic)
=A3245 for RSS fellows (non-academic) =A3145 for RSS fellows =
(academic)
=A3220 for CStats (non-academic) =A3130 for CStats (academic)=20
The CStat rate applies to MIS, FIS and GradStat. All cited fees include =
lunch, teas and coffees. =20
N.B. Workshop participants are entitled to purchase MLwiN at the =
discounted rate of =A3440* (excluding VAT). (*2006 rate to be confirmed =
shortly). Academics are entitled to an academic discount of 40% on this =
price.
Places will be allocated on a first-requested-first-allocated basis. =
Application forms are available at http://www.rss.org.uk/cpd (see =
information on CPD training opportunities) or on request from Debra =
Hurcomb, Theme Manager, Education at the RSS on Tel: 020 7614 =
3934/e-mail: [log in to unmask] Thank you in advance.=20
=========================================================================
Date: Thu, 22 Dec 2005 12:44:31 +0000
Reply-To: Denise Howel <[log in to unmask]>
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<[log in to unmask]>
From: Denise Howel <[log in to unmask]>
Subject: JOB: Junior RA/RA (Statistician) - University of Newcastle
Based in the School of Population and Health Sciences you will provide
statistical support to a number of research projects across the School.
We are seeking a statistician who can contribute to all aspects of the
research process (including preparation of funding applications, design and
conduct of research studies, statistical analysis, report writing
and presentation of results). With support from other members of the
statistics team, the post-holder will work on a number of studies involving
different groups of researchers and may also be expected to provide
consultancy to health professionals within the Faculty. You should have a
post graduate qualification in statistics.
This post in is funded for 2 years in the first instance and available as
soon as possible.
Application deadline 31st January 2006. Shortlisting for this post will
take place on 6 February 2006; interviews will be held on the morning of 17
February 2006.
Informal enquiries can be made to Denise Howel (email: [log in to unmask],
telephone: 0191 222 7381/5370) or Janine Gray ([log in to unmask]
telephone 0191 222 7897)
Further information is available from
http://www.ncl.ac.uk/vacancies/vacancy.phtml?ref=A547R
=========================================================================
Date: Thu, 22 Dec 2005 17:30:25 -0000
Reply-To: Sandra Eldridge <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Sandra Eldridge <[log in to unmask]>
Subject: RSS primary health care study group meeting: Unpacking complex
interventions
Comments: To: Medical Statisticians interested in primary care
<[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
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Dear all,
See below details of our next exciting meeting in March 2006.
This meeting is open to anyone and there's no need to book.
Best wishes and seasons greetings
Sandra
PRIMARY HEALTH CARE STUDY GROUP programme
22nd March 2005
Royal Statistical Society, Errol St, London
2-5pm
=20
Unpacking complex interventions
MIKE CAMPBELL (Sheffield University)
Complexity and complex interventions
Complexity theory purports to explain emergent phenonema from systems =
which have
feedback. Complex interventions in health may have feedback - for =
example in a
trial to educate people with diabetes about diet the intervention may be
modified depending on the knowledge level of the participants. The talk =
will
discuss modelling as a preliminary to aid in the design of complex
interventions.
=20
=20
PAT YUDKIN (Oxford University)
Deconstructing complex interventions
=20
Whether complex interventions can be properly evaluated in randomised =
controlled trials is much debated. Based on an analysis of recent trials =
in UK primary care, we propose a novel approach to characterising the =
components of complex interventions that may improve trial design and =
reporting.=20
=20
=20
TIM HOLT (Warwick University)
Educational programmes for improving blood glucose control in insulin =
treated diabetes
=20
Advising and supporting insulin treated patients in self-monitoring of =
blood glucose, to produce appropriate behavioural responses such as =
adjustment of insulin doses and dietary intake is an increasingly =
important issue. Because self-monitoring is a patient-centred activity =
that carries the risk of worsening rather than improving control, and =
requires a degree of intuitive skill, measuring the success of =
educational programmes is a difficult research problem, to be explored =
in this presentation.
=20
=========================================================================
Date: Thu, 22 Dec 2005 17:43:03 +0000
Reply-To: Ebenezer Okyere <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Ebenezer Okyere <[log in to unmask]>
Subject: bivariate exponential distribution
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
Dear all staters,
I have a bivariate exponential distribution and I need
to simulate data
for this distribution. Can any one on the list be of
help -- give some
guidance on how to go about it, lead me to some
publications or some
codes in "R", Splus or SAS. The distribution is as
follows:
{ exp{-lambda_{1}x-lambda_{2}y -lambda_{3}min(x,y)}}
and
lambda_{1}+lambda_{3} > 0,
lambda_{2}+lambda_{3} > 0 and
x and y are positive and the lambdas are parameters
Ebenezer Okyere
ISM Duesseldorf
___________________________________________________________
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=========================================================================
Date: Thu, 22 Dec 2005 17:43:06 -0000
Reply-To: George Vernon <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: George Vernon <[log in to unmask]>
Subject: JOB: CONTRACT: Manager of SAS Programming
MIME-Version: 1.0
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Content-Transfer-Encoding: quoted-printable
CONTRACT: Manager of SAS Programming
Salary: Up to EURO 90ph, DOE.
=20
Business Type: Clinical Research Organisation=20
Job Type: Data Management/Statistics, Software Developer=20
Position type: Contract
Location: Germany=20
=20
Background:
=20
To manage and help direct the activities of the Statistical Programming
group within the Data Operations department of my client's site in
Germany which is responsible for the accurate reporting of clinical
trials. 2. Take full responsibility to ensure all necessary input and
support for harmonization of developments with the other Statistical
Programming groups. 3. Be responsible to increase efficiency and
maintain a high level of quality in the SAS programming area by:
Improving, standardising and documenting procedures. Standardising
database structures and identifying the need for and supervising the
development of standard programs and macros.=20
=20
Additional Information:
=20
Hobson Prior is a specialist employment business acting on behalf of its
client. We are a corporate member of the REC and operate strictly within
the regulations governing the conduct of employment businesses which
requires us to provide detailed information to candidates in relation to
specific roles prior to the submission of their personal details and
prohibits the disclosure of information relating to candidates without
their consent. Hobson Prior is an accredited ISO9001:2000 business.=20
=20
To apply, please reply with an up to date CV quoting grv-3485.=20
=20
Contact Details:
=20
=20
=20
George Vernon
Hobson Prior
=20
t: +44 1892 612612
f: +44 1892 612613
e: [log in to unmask] =20
=20
This message is for the intended recipient only. It may contain
confidential or proprietary information. If you receive this message in
error, please immediately delete it, destroy all copies and notify the
sender. You must not use or disclose any part of this message if you are
not the intended recipient. We may monitor all email communication
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the individual sender, except where the message states otherwise. We
take reasonable precautions to ensure our emails are virus free.
However, we cannot accept responsibility for any virus transmitted by us
and recommend that you subject any incoming email to your own virus
checking procedures.
=20
=========================================================================
Date: Thu, 22 Dec 2005 13:09:30 -0500
Reply-To: Vincent Granville <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Vincent Granville <[log in to unmask]>
Comments: cc: Ebenezer Okyere <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; format=flowed; charset="iso-8859-1"
Content-Transfer-Encoding: 7bit
http://datashaping.com/bivariate.pdf
This is exactly what you are looking for.
-V.
Ebenezer Okyere writes:
> Dear all staters,
>
> I have a bivariate exponential distribution and I need
> to simulate data
> for this distribution. Can any one on the list be of
> help -- give some
> guidance on how to go about it, lead me to some
> publications or some
> codes in "R", Splus or SAS. The distribution is as
> follows:
>
> { exp{-lambda_{1}x-lambda_{2}y -lambda_{3}min(x,y)}}
> and
>
> lambda_{1}+lambda_{3} > 0,
> lambda_{2}+lambda_{3} > 0 and
>
> x and y are positive and the lambdas are parameters
>
>
> Ebenezer Okyere
> ISM Duesseldorf
>
>
>
> ___________________________________________________________
> To help you stay safe and secure online, we've developed the all new Yahoo! Security Centre. http://uk.security.yahoo.com
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
=========================================================================
Date: Fri, 23 Dec 2005 10:02:02 +0000
Reply-To: [log in to unmask]
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<[log in to unmask]>
From: [log in to unmask]
Subject: James Murphy/BOOTLE/HSE is out of the office.
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I will be out of the office starting 22/12/2005 and will not return until
03/01/2006.
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Date: Fri, 23 Dec 2005 09:55:07 -0500
Reply-To: Jason Osborne <[log in to unmask]>
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<[log in to unmask]>
From: Jason Osborne <[log in to unmask]>
Subject: Looking for HLM chapter author(s)
Comments: To: [log in to unmask], [log in to unmask],
[log in to unmask]
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
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Hi all--
=20
I am editing a book for a high-profile methodology publisher on "best =
practices" in quantitative methods and am looking for one or more scholars =
in the area of HLM/multilevel modeling to write a chapter or two on WHY =
HLM/MLM is a best practice and under what circumstances. I am looking for =
two chapters (perhaps more, if you have a neat idea): one giving the =
general overview of HLM and under what circumstances it would be a "best =
practice", and a second that looks closely at using HLM for longitudinal =
data (i.e. growth curve modeling), as compared to using repeated measures =
ANOVA, for example. =20
=20
Each chapter is to be 30-40 pp in length, maximum, and is to present a =
survey of the literature, describe the issue/procedure in practitioner-frie=
ndly language (i.e., keeping matrix algebra to a minimum), to empirically =
compare and contrast the selected procedures with past or standard =
practices, and empirically demonstrate why HLM/mlm is the "best" practice. =
Chapter authors are also challenged to provide a data set (or two) that =
readers can work with to practice the technique being discussed, and some =
guidance from the author as to what to do with the data set. The first =
draft of the chapter will be due April (although this is negotiable).
=20
If you are interested, send me an email with a brief informational =
paragraph about yourself, a proposed title and BRIEF chapter outline, and =
a realistic timeline for completion of the chapter (as I said above, the =
due date can be negotiated if necessary, but I need to know that up =
front).
=20
There is a very minimal compensation package for chapter authors. The =
primary motivation is utilize a big soapbox to reach a large audience of =
practitioners and graduate students and show them the BEST way to do =
certain analyses.
=20
Thank you in advance,
=20
Jason
=20
Jason W. Osborne, Ph.D.
Director of Graduate Programs
PI -- IMPACT evaluation=20
Associate Professor of Educational Psychology
Office: Poe 602
Phone: (919) 244-3538 (cell)
Fax: (919) 513-1687
email: mailto:[log in to unmask]
My Web page: http://www4.ncsu.edu/~jwosbor2/home.html
Educational Psychology Program web page: http://ced.ncsu.edu/ci/ed_psych.h=
tml
IMPACT web page: http://ced.ncsu.edu/impact/
Mailing Address:
Curriculum and Instruction,
Poe Hall 602, Campus Box 7801
North Carolina State University
Raleigh, NC, 27695-7801
=========================================================================
Date: Sun, 25 Dec 2005 11:33:55 -0800
Reply-To: Adebola Laditan <[log in to unmask]>
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<[log in to unmask]>
From: Adebola Laditan <[log in to unmask]>
Subject: Please unsubscribe me from this mailing list
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Thanks
__________________________________
Yahoo! for Good - Make a difference this year.
http://brand.yahoo.com/cybergivingweek2005/
=========================================================================
Date: Sun, 25 Dec 2005 19:50:17 +0000
Reply-To: Martin Sewell <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Martin Sewell <[log in to unmask]>
Subject: Re: Please unsubscribe me from this mailing list
In-Reply-To: <[log in to unmask]>
Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"; format=flowed
At 11:33 25/12/2005 -0800, Adebola Laditan wrote:
>Thanks
Sorry, but a subscription is for life, not just for Christmas.
Regards
Martin
=========================================================================
Date: Mon, 26 Dec 2005 01:01:10 -0800
Reply-To: nabaz esmaelzadeh <[log in to unmask]>
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<[log in to unmask]>
From: nabaz esmaelzadeh <[log in to unmask]>
Subject: Please unscribe me from this mailing list
MIME-Version: 1.0
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thanks
---------------------------------
Yahoo! DSL Something to write home about. Just $16.99/mo. or less
=========================================================================
Date: Mon, 26 Dec 2005 14:25:08 +0000
Reply-To: Lee Kurek <[log in to unmask]>
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<[log in to unmask]>
From: Lee Kurek <[log in to unmask]>
Subject: Re: Please unscribe me from this mailing list
Comments: To: nabaz esmaelzadeh <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
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nabaz esmaelzadeh <[log in to unmask]> wrote: thanks
---------------------------------
Yahoo! DSL Something to write home about. Just $16.99/mo. or less
=09
---------------------------------
Yahoo! Photos =96 NEW, now offering a quality print service from just 8p =
a photo.
=========================================================================
Date: Wed, 28 Dec 2005 18:43:56 +0000
Reply-To: Madan Kundu <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Conjoint analysis
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Hi,
Can anybody refer me any book or site on Conjoint analysis? or can send me any tutorial on conjoint analysis? if so then please do that.
With regards,
Madan
--------------
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web: http://www.freewebs.com/madanstata
mobile: 91-9868788406
e-mail: [log in to unmask]
Send instant messages to your online friends http://in.messenger.yahoo.com
=========================================================================
Date: Wed, 28 Dec 2005 19:30:43 +0000
Reply-To: Madan Kundu <[log in to unmask]>
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<[log in to unmask]>
From: Madan Kundu <[log in to unmask]>
Subject: Entering data in table (SQL)
Comments: To: OCP study group <[log in to unmask]>,
[log in to unmask]
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
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Hi,
I have one question regarding SQL. Suppose I have made an table in SQL using CREATE TABLE command. Now if I want to enter the record then I have to use INSERT INTO .... VALUES ..... If I want to enter 1000 records then I have to write INSERT INTO .... VALUES ..... 1000 times. No doubt this is a boring process. Is there any shortcut.
Any suggestion in this regard will be appreciated.
With regards,
Madan
--------------
Madan Gopal Kundu
Room no 18, Sukhatme Hostel
Indian Agricultural Statistics Research Institute
Library Avenue, Pusa
New Delhi 12
India
Web: http://www.freewebs.com/madanstata
mobile: 91-9868788406
e-mail: [log in to unmask]
Send instant messages to your online friends http://in.messenger.yahoo.com
=========================================================================
Date: Wed, 28 Dec 2005 16:02:52 -0500
Reply-To: John Sorkin <[log in to unmask]>
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<[log in to unmask]>
From: John Sorkin <[log in to unmask]>
Subject: Re: Entering data in table (SQL)
Comments: To: [log in to unmask]
Mime-Version: 1.0
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Madan,
You might be able to load data directly into a table using the software =
supplied with your SQL engine. I use Microsoft SQL server. The Enterprise =
Manger allows me to load data directly from an Excel spreadseet.
John
John Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
Baltimore VA Medical Center GRECC and
University of Maryland School of Medicine Claude Pepper OAIC
University of Maryland School of Medicine
Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
410-605-7119=20
NOTE NEW EMAIL ADDRESS:
[log in to unmask]
>>> Madan Kundu <[log in to unmask]> 12/28/05 2:30 PM >>>
Hi,
=20
I have one question regarding SQL. Suppose I have made an table in SQL =
using CREATE TABLE command. Now if I want to enter the record then I have =
to use INSERT INTO .... VALUES ..... If I want to enter 1000 records then =
I have to write INSERT INTO .... VALUES ..... 1000 times. No doubt this =
is a boring process. Is there any shortcut.=20
=20
Any suggestion in this regard will be appreciated.
=20
With regards,
=20
Madan
--------------
=20
Madan Gopal Kundu=20
Room no 18, Sukhatme Hostel=20
Indian Agricultural Statistics Research Institute=20
Library Avenue, Pusa=20
New Delhi 12
India
Web: http://www.freewebs.com/madanstata=20
mobile: 91-9868788406
e-mail: [log in to unmask]
=20
Send instant messages to your online friends http://in.messenger.yahoo.com=
=20
=========================================================================
Date: Thu, 29 Dec 2005 09:23:21 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Primoris Contract Solutions <[log in to unmask]>
Organization: Primoris Contract Solutions
Subject: JOB Opportunity: Contract Statistician
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Rate: 70 to 85 Euro/hr, dependant on experience.
Start date: January.
Our client, a leading pharmaceutical company based in Belgium, urgently
seeks a biostatistician for a 12 month contract. You will be involved in =
a
variety of activities, including input into trial design and protocol
development, statistical analysis plans, statistical analysis =
programming,
input into clinical study reports. This will be in the Neuroscience =
therapeutic area.
You should have minimum 3 years experience as a statistician in the
pharmaceutical industry with at least an MSc qualification in =
statistics, and a good working knowledge of SAS.
If you are interested in this position, please contact us at
[log in to unmask] for more details.
Primoris Contract Solutions Ltd
Tel: +44 (0)7092 150054
Fax: +44 (0)7902 150052
Email: [log in to unmask]
http://www.primoriscs.co.uk
=========================================================================
Date: Thu, 29 Dec 2005 09:27:38 -0000
Reply-To: [log in to unmask]
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Primoris Contract Solutions <[log in to unmask]>
Organization: Primoris Contract Solutions
Subject: JOB Opportunity: Contract SAS Programmer
MIME-Version: 1.0
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Rate: =A345 to 47 /hr.
Start date: January.
Our client, a leading pharmaceutical company based in Surrey, urgently
seeks a SAS Programmer for an 8 month contract, lasting until end of =
August. You will be involved in
primary SAS programming of derived datasets, tables, figures and =
listings, as well as
validating other programmers' work.
You should have a minimum 5 years experience as a SAS programmer in the =
pharmaceutical industry.
If you are interested in this position, please contact us at
[log in to unmask] for more details.
Primoris Contract Solutions Ltd
Tel: +44 (0)7092 150054
Fax: +44 (0)7902 150052
Email: [log in to unmask]
http://www.primoriscs.co.uk
=========================================================================
Date: Thu, 29 Dec 2005 11:31:42 +0000
Reply-To: john leong <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: john leong <[log in to unmask]>
Subject: Re: Entering data in table (SQL)
Comments: To: John Sorkin <[log in to unmask]>
In-Reply-To: <[log in to unmask]>
MIME-Version: 1.0
Content-Type: text/plain; charset=iso-8859-1
Content-Transfer-Encoding: 8bit
at work we have problem like this too, the different
is that we have both sql server and oracle running and
the data could be for either database, which the
syntex can be different.
the good thing about speadsheet (Like excel) is that
we can change data there very very quickly.
so using excel as central point what we have done is
to create a macro to create the insert script, another
copy and paste on to a new work sheet.
as long as the sum of length of each table does not
exceed 65535 rows, then you have yourself a copy and
paste script to put to query analyser or sqlplus (via
text file).
JL
--- John Sorkin <[log in to unmask]> wrote:
> Madan,
> You might be able to load data directly into a table
> using the software supplied with your SQL engine. I
> use Microsoft SQL server. The Enterprise Manger
> allows me to load data directly from an Excel
> spreadseet.
> John
>
> John Sorkin M.D., Ph.D.
> Chief, Biostatistics and Informatics
> Baltimore VA Medical Center GRECC and
> University of Maryland School of Medicine Claude
> Pepper OAIC
>
> University of Maryland School of Medicine
> Division of Gerontology
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
>
> 410-605-7119
> NOTE NEW EMAIL ADDRESS:
> [log in to unmask]
>
> >>> Madan Kundu <[log in to unmask]> 12/28/05
> 2:30 PM >>>
> Hi,
>
> I have one question regarding SQL. Suppose I have
> made an table in SQL using CREATE TABLE command. Now
> if I want to enter the record then I have to use
> INSERT INTO .... VALUES ..... If I want to enter
> 1000 records then I have to write INSERT INTO ....
> VALUES ..... 1000 times. No doubt this is a boring
> process. Is there any shortcut.
>
> Any suggestion in this regard will be appreciated.
>
> With regards,
>
> Madan
>
>
> --------------
>
>
> Madan Gopal Kundu
> Room no 18, Sukhatme Hostel
> Indian Agricultural Statistics Research Institute
> Library Avenue, Pusa
> New Delhi 12
> India
> Web: http://www.freewebs.com/madanstata
> mobile: 91-9868788406
> e-mail: [log in to unmask]
>
>
>
>
>
>
>
> Send instant messages to your online friends
> http://in.messenger.yahoo.com
>
___________________________________________________________
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