MSC Training is pleased to offer the following 3-day course to be run in Bath (14th to 16th March 2013) and in Central London (27th to 29th June 2013).
“Turn Your Data into Insights & Forecasts with Statistical Thinking” is intended for anyone in the public or private sector who needs to analyse & interpret the results of surveys and trials and/or data collected over time periods, identify significant impacts, changes & trends in their data and produce forecasts of the future. The end result of such analyses is to turn your data into actionable insights & forecasts that enables data-driven decisions to be made. To achieve this, a practical understanding of Statistical Thinking, Concepts, Inference & Forecasting ideas is essential and so, over the three days, you will learn the following:
· Day 1 – the practical application of the key statistical concepts of expectation, variance, probability, risk, distribution & correlation so that you can summarise your data efficiently and start the process of turning data into meaningful insights & trends.
· Day 2 – how to confirm your insights using hypothesis testing (T-tests, ANOVA, F-tests, Chi-squared test, etc) and how the design of your trials and surveys affects the insight you obtain from your data.
· Day 3 - how to identify trends & seasonality in your data and prove they are real using hypothesis tests. How to extract the underlying trend using moving averages, detect significant deviations from expected trends using the principles of SPC (Statistical Process Control) and to extrapolate trends into forecasts.
For more details on this course, please follow this link to our booking form. You are welcome to attend either one, two or all three days and if choosing one or two days, you are free to state which days you want to attend. Split bookings across the two venues are also permitted. For example, you could attend day 1 & 2 in Bath and then day 3 in London.
The cost per person is:
1. £350+VAT (£420 including VAT) for 1 day
2. £650+VAT (£780 including VAT) for 2 days
3. £900+VAT (£1080 including VAT) for 3 days.
MSC Training is pleased to offer either of the following discounts:
A. 20% off for your colleague: Any colleague you bring along with you will receive a 20% discount off the course fees listed above.
B. OR 4 places for the price of 3: Book 4 places and only pay for 3 places.
If you have 6 or more colleagues interested in attending then you will find our in-house course option more cost-effective. Our price for the same course as advertised here is £3,600 + venue hire + our travel expenses + VAT. For an additional fee, we can offer customized versions of this course that are more tailored to your requirements. Please contact MSC Training for details.
Nigel Marriott
MSC Training
www.marriott-stats.com/Training
Ground Floor, 21 Marlborough Buildings, Bath BA1 2LY, United Kingdom
Tel (office) +44 (0)1225 489033
MSC Training is a trading name of Marriott Statistical Consulting Limited, Company No. 5577275, VAT No. 883304029
Registered in England, Registered Office – Equity House, 4-6 School Road, Tilehurst, Reading, RG31 5AL
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SIGNOFF allstat
to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_008A_01CDF26B.0C8B2340-- ========================================================================Date: Mon, 14 Jan 2013 11:38:58 -0400 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: Introduction to zero inflated models and GLMM MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Message-ID: <[log in to unmask]> We would like to announce the following statistics course: Introduction to zero inflated models and GLMM 13 - 16 May 2013. Elche, Spain. For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013_05Elche_ZIP.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software 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 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ========================================================================Date: Mon, 14 Jan 2013 15:53:26 +0000 Reply-To: Bob Erens <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Bob Erens <[log in to unmask]> Subject: Free event: Payment-for-performance: incentivising quality in public services MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae93409a94f2f4e04d341a5ca Message-ID: <[log in to unmask]> --14dae93409a94f2f4e04d341a5ca Content-Type: text/plain; charset=ISO-8859-1 You may be interested in this free event next month *Payment-for-performance: incentivising quality in public services* * * * * *When: *Tuesday 19 February 2013, 5.30pm - 7.15pm *Where: *John Snow Theatre, London School of Hygiene & Tropical Medicine, Keppel Street, WC1E 7HT *Price: *Free, booking essential P4P aligns financial rewards with predefined performance targets. This payment mechanism is dominating the policy agenda in many countries and numerous schemes have been introduced with the aim of improving the quality and outcomes of public services. However, the current evidence base is incomplete and current schemes vary in design with differences in performance measurement, appraisal and reimbursement making it difficult to generalise about the benefits, risks and costs of P4P. Join us for a timely exploration of the gains that may be made by applying P4P techniques, as well as a cool appraisal of the limitations. For further details including the current programme and to book your place at this event: http://www.piru.ac.uk/?current-event=9 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae93409a94f2f4e04d341a5ca Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable
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========================================================================Date: Mon, 14 Jan 2013 15:40:54 +0000
Reply-To: Jason Howlin <[log in to unmask]>
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From: Jason Howlin <[log in to unmask]>
Subject: JOBS: Analyst roles in London and surrounding areas
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Dear Allstat,
I have numerous opportunities for Analysts in London and surrounding areas. Please get in touch if you have a strong Analytical background!
Positions are:
- Data Analyst
- Machine Learning Analyst
- Statistical Analyst
- Commercial Analyst
- Quantitative Analyst
Various sectors including Finance, Retail, Big Data, Business Analytics, Data Mining, Data Visualisation, Marketing, etc.
Whether you have a strong analytical degree or a PhD I'm keen to hear from you. Please send your CVs to [log in to unmask] Dear Allstat, Positions are: Regards T: +44(0) 207 993 1385
SIGNOFF allstat
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========================================================================Date: Mon, 14 Jan 2013 16:15:33 +0000
Reply-To: Nicola Pidduck <[log in to unmask]>
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From: Nicola Pidduck <[log in to unmask]>
Subject: Burwalls Annual Meeting for Current & New Teachers of Medical
Statistics 16th & 17th September
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Burwalls is historically a small annual meeting with the aim of encouraging and equipping those responsible for teaching statistics (and evidence based medicine) to medical students and other health care professionals.
This year the meeting will be in Oxford, 16th-17th September. Scheduled events include a Bring'n'Buy sale of interactive teaching ideas, a Presentation Challenge to a small group of current students, and competitions for the best slide(s) for teaching subjects such as confidence intervals, in addition to a programme of invited and submitted posters and oral presentations. Please visit the Burwalls 2013 website to learn more about the programme:
http://www.phc.ox.ac.uk/burwalls2013
Discounted registration is available until May for anyone submitting an abstract or taking part in one of the activities - see website for details.
Please send queries to [log in to unmask] Burwalls is historically a small annual meeting with the aim of encouraging and equipping those responsible for teaching statistics (and evidence based medicine) to medical students and other health care professionals. This year the meeting will be in Oxford, 16th-17th September. Scheduled events include a Bring'n'Buy sale of interactive teaching ideas, a Presentation Challenge to a small group of current students, and competitions for the best slide(s)
for teaching subjects such as confidence intervals, in addition to a programme of invited and submitted posters and oral presentations. Please visit the Burwalls 2013 website to learn more about the programme: http://www.phc.ox.ac.uk/burwalls2013 Discounted registration is available until May for anyone submitting an abstract or taking part in one of the activities - see website for details. Please send queries to
[log in to unmask] For more on the wider Burwalls programme and past meetings, see the Burwalls website here:
http://burwalls.org.uk/wp/ Kind Regards, Nicola
Medical Statistics
University of Oxford Department of Primary Care Health Sciences
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
--_000_17414BBB2D421849A2DC52316C0864D80ECAC68EMBX07adoakoxacu_--
========================================================================Date: Mon, 14 Jan 2013 17:01:47 +0000
Reply-To: Emma Hollands <[log in to unmask]>
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From: Emma Hollands <[log in to unmask]>
Subject: Short Courses at the SSC, University of Reading, UK in 2013
In-Reply-To: <[log in to unmask]>
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Reply-To: owen murphy <[log in to unmask]>
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From: owen murphy <[log in to unmask]>
Subject: Re: Short courses in statistical methods - Lancaster University
January-May 2013
Comments: To: "Lancaster, Gillian" <[log in to unmask]>
MIME-Version: 1.0
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Message-ID: SHORT COURSES IN APPLIED
STATISTICS AT LANCASTER UNIVERSITY for Scientists, Social Scientists and
Health Researchers We
offer a range of courses to help researchers and PhD students in analysing
their data. The
courses we are running in the lent and summer terms are as
follows: 23-24 January Duration
(Survival) Analysis 15
February Atlas.Ti 21-22 February Data Mining
Techniques 28
Feb-1 March Using STATA 4-5
March Introduction to Bayesian
Methods 7-8
March Statistical Modelling using SPSS (SPSS
II) 18-19
March Quantifying and Evaluating Forensic
Evidence 21-22
March Structural Equation
Modelling 24-25 April
Multi-level Models 1-2
May Methods for Missing
Data 15-16
May Quantitative Criminology including latent
class analysis To
book a place and to see course descriptions please go to http://www.lancs.ac.uk/fas/cpd/statistics/ Contact for any
queries: Angela
Mercer
Email: [log in to unmask] Short
Course/Quantitative Methods for Science, Social Science and Medicine
Postgraduate Administrator Department
of Mathematics and Statistics C/o
Postgraduate Statistics Centre Room
78 Lancaster
University Lancaster SIGNOFF allstat to [log in to unmask],
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========================================================================Date: Mon, 14 Jan 2013 17:51:49 +0000
Reply-To: "Lucas, Ricardo" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: "Lucas, Ricardo" <[log in to unmask]>
Subject: JOB: Contract Statistician for top pharmaceutical company.
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========================================================================Date: Mon, 14 Jan 2013 19:07:27 +0000
Reply-To: Cathryn Lewis <[log in to unmask]>
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<[log in to unmask]>
From: Cathryn Lewis <[log in to unmask]>
Subject: JOB: Statistical Genetics academic post, King's College London
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We are recruiting for a new academic post in statistical genetics at the Institute of Psychiatry, King's College London:
http://www.nature.com/naturejobs/science/jobs/299921-Lecturer-Senior-Lecturer-Reader-and-or-Professor-Appointments
As the link above describes, we will make several appointments, including one specifically in statistical genetics. We are looking for a productive researcher who is involved in methodological development, can collaborate widely, and who will get involved in on-going studies at the SGDP. King’s College London has a thriving Statistical Genetics Unit with 15 academics, postdoctoral fellows and PhD students. See:
http://www.kcl.ac.uk/medicine/research/divisions/gmm/Departments/mmg/researchgroups/clewis/sgu/index.aspx
I am happy to discuss the role further ([log in to unmask])
Cathryn Lewis
Cathryn Lewis
Professor of Genetic Epidemiology and Statistics, King's College London
Division of Genetics and Molecular Medicine, KCL School of Medicine
Tel: 44-(0)20-7188-2601. Fax: 44-(0)20-7188-2585
and
MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, KCL
Tel: 44-(0)20-7848-0661, Fax: 44-(0)20-7848-0866
-------------------------------------------------------------------------------------------
Lecturer, Senior Lecturer, Reader and/or Professor Appointments
The MRC Social, Genetic and Developmental Psychiatry Centre (SGDP) invites applications for a range of positions to complement and extend the world-class research and teaching within the department. The MRC SGDP Centre’s mission includes research on the impact of and interplay between genetic, environmental and developmental factors. In the most recent RAE the SGDP was described as “world-leading†in its environment and outputs. The Centre provides an unrivalled opportunity to benefit from interdisciplinary research excellence, and large clinical and population cohorts with extensive longitudinal phenotypic and molecular data.
The post holder(s) will reinforce substantial strengths in interdisciplinary research and teaching and take a lead in developing new research directions. Applications are welcome from both clinical and non-clinical scientists with a background in any area related to the Department’s research mission. Researchers in the following areas are particularly encouraged to apply: Genomics (molecular genetics, transcriptomics, epigenetics); Quantitative Genetics; Statistical Genetics; Neuro-cognitive development; Biological embedding of experience; Developmental disorders.
Senior post holders will be expected to demonstrate research excellence at an international level as established by intellectual leadership, publications and grant-funding. Junior appointments will be expected to show promise of the ability to attain these levels in the future.
The posts are full-time and based at the Institute of Psychiatry (Denmark Hill Campus) in south-east London, and will come with an attractive and competitive compensation and possible relocation package. Individual appointments will be made dependent on relevant qualifications and experience at Lecturer, Senior Lecturer, Reader or Professor level. Appointment to the appropriate clinical or non-clinical scales will be based on qualifications and precise individual role details. Clinical post holders will receive appropriate honorary appointments in partner NHS Trusts. Up to four posts are available in the department.
Please contact Professor Francesca Happé if you want to discuss your interests (email [log in to unmask] or telephone 020 7848 0871)
Further information and application instructions can be found on our website http://www.kcl.ac.uk/jobs or by emailing [log in to unmask] Reference 12/A30. Deadline: 3rd February 2013.
Equality of opportunity is College policy
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
========================================================================Date: Tue, 15 Jan 2013 08:29:19 +0200
Reply-To: osama hussien <[log in to unmask]>
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From: osama hussien <[log in to unmask]>
Subject: ALEXANDRIA CONFERENCE
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"Walker, Neil" <[log in to unmask]>,
zahoor_ahmed <[log in to unmask]>,
zammar <[log in to unmask]>,
=?UTF-8?B?2KfYqtmK2LQg2YPZiNmF2KfYsQ==?= <[log in to unmask]>,
=?UTF-8?B?2K8g2YXZhtmK2LE=?= <[log in to unmask]>
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THE DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCES, FACULTY OF SCIENCE
AND THE DEPARTMENT OF STATISTICS, FACULTY OF COMMERCE WILL JOINTLY ORGANIZE
THE SECOND THE SECOND ALEXANDRIA INTERNATIONAL CONFERENCE OF STATISTICS.
STATISTICS AND SCIENTIFIC
DEVELOPMENT
FROM 1-3 SEPTEMBER 2013
THE LAST DATE TO SUBMIT ABSTRACTS 5 JUNE 2013
THE LAST DATE TO SUBMIT COMPLETE CONTRIBUTED PAPERS 15 JULY 2013
A SPECIAL INVITED SESSIONS WILL BE HELD TO HONOUR THE MEMORY OF THE LATE
PROF. ABDELMOURDY AZZAAM AND PROF. YEHIA ELBASOUNY.
THE ACCEPTED PAPERS WILL BE PUBLISHED AT HIGH RANKED JOURNAL.
A GRADUATION CEREMONY FOR THE FIRST CERTIFIED SAS PROGRAMERS GROUP TRAINED
AT ALEXANDRIA UNIVERSITY ACCORDING TO THE ACADEMIC PROGRAM WITH SAS WILL BE
HELD.
FOR MORE INFORMATION VISIT OUR PAGE ON THE FACEBOOK "ALEXANDRIA
INTERNATIONAL CONFERENCE OF STATISTICS"
OR CONTACT THE CONFERENCE COORDINATORS:
PROF. MAHMOUD GABR
PROF. OSAMA HUSSIEN [log in to unmask]
--
Prof. Dr. Osama Abdelaziz Hussien
Chairman of the Department of Statistics
Faculty of Commerce
Alexandria University
Egypt
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========================================================================Date: Tue, 15 Jan 2013 09:33:30 +0000
Reply-To: [log in to unmask]
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From: Tim Collier <[log in to unmask]>
Subject: COURSE: MSc Medical Statistics, LSHTM
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Just graduating with a maths/science degree? Unsure what to do next?
Have you considered becoming a medical statistician?
A career in medical statistics gives an opportunity to be involved
in research of direct benefit to people, from public health research
through to drug development. Work is characterised by stimulating
practical problems and interactions with researchers from other disciplines.
The MSc in Medical Statistics at LSHTM has been training medical
statisticians for more than 40 years and many leading medical statisticians
worldwide are graduates of our MSc. The course is characterised by a
blend of theory and practical applications - lectures are followed by
practical sessions - and are taught by subject experts all of whom
are research active. The LSHTM is an internationally renowned
postgraduate centre of global health research in the heart of London.
Graduates from our MSc typically go on to pursue careers in medical
and epidemiological research in academic institutions, hospitals,
the pharmaceutical industry and various public sector institutions.
Furthermore, there is a world shortage of well qualified medical
statisticians so job prospects are excellent.
A number of scholarships (fees plus a generous tax free living allowance)
are available each year for UK/EU applicants.
Anyone interested in applying for this year's course, starting
September 2013, should apply as soon as possible.
For full details of the course, scholarships and application process,
go to: http://www.lshtm.ac.uk/study/masters/msms.html
or email [log in to unmask]
Tim Collier
............................................................
Course Director Medical Statistics MSc
Lecturer in Medical Statistics
Medical Statistics Department
Faculty of Epidemiology & Population Health
London School of Hygiene & Tropical Medicine
Tel: +44 (0) 20 7927 2426 - direct
+44 (0) 20 7637 2853 - fax
Email: [log in to unmask]
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========================================================================Date: Tue, 15 Jan 2013 09:46:01 +0000
Reply-To: James Phillips <[log in to unmask]>
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From: James Phillips <[log in to unmask]>
Subject: JOBS- StatsJobs.com - weekly job alert
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Ten jobs have been added to StatsJobs in the past week - visit StatsJobs.com to view the full details and to apply.
Biostatistician | Oklahoma Medical Research Foundation | Oklahoma
Join our fight against Autoimmune Diseases! Make a difference by performing various analyses, including but not limited to, parametric and non-parametric statistics, evaluating statistical methods and procedures, interpreting data, preparing conclusions, identifying trends, and reporting results. Assist scientists in designing lab experiments to facilitate data analysis. Plan data collection methods for specific projects and determine ...
Data Analyst / Statistician | Norbrook | Ulster
An excellent opportunity has arisen within our Research & Development Department for a highly determined and ambitious individual wanting to become part of a successful team. The successful candidate will be responsible for analysing data obtained from pre-clinical and clinical trials using recognised statistical methods required by Regulatory Authorities. He/she will work in a GLP ...
Director, Statistics | International Monetary Fund | Washington, USA
The International Monetary Fund-an international organization with a diverse staff, men and women drawn from over 160 countries-has an opening for the position of Director of its Statistics Department. The Department’s mission is to provide strong leadership for the development and application of sound statistical practices in the Fund, member countries, and the international statistical ...
Statistical Researcher | Dubai Chamber | Dubai
Dubai Chamber is increasingly recognized as imperative source of comparative advantages for businesses in Dubai, and the ultimate partner for businesses for the achievement of a sustainable economic growth in the short and long-run. This is being achieved by providing high quality services to the business community in Dubai. The job holder is responsible for ...
Statistician | Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital | Oxford
Applications are invited for a statistician to work within the Stroke Prevention Research Unit (led by Professor Peter Rothwell) in the Nuffield Department of Clinical Neurosciences, University of Oxford. The Stroke Prevention Research Unit is funded by the Wellcome Trust and the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre Programme. The unit ...
Statistician/Engineering Analyst | Google | London
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing ...
Longevity Risk Modelling Statistician | Legal & General Group | Kingswood
This is an exciting opportunity for a statistician to join the successful, and highly respected, Longevity Risk Team. You will gain a range of new skills and experiences by working with a talented team of experienced and enthusiastic professionals including, actuaries, statisticians and research scientists. You will develop statistical models of annuitant mortality and provide ...
Senior Biostatistician | INC Research | London
Acts as the lead or back-up statistician for multiple projects with any level of complexity. Acts as the primary contact with the sponsor for all biostatistics related activities on assigned projects. Helps manage clinical trials efficiently by providing accurate and consistent information to both sponsors and Company business/functional units. Core Responsibilities 1. Collaborates in the ...
Senior Statistician | Novartis | Basel, Switzerland
The Senior TA Statistician is responsible for all statistical tasks of individual clinical trials. He/she may take on project level tasks of a Program Statistician, initially under the supervision of a more experienced Statistician/Group Head but with increasing autonomy and accountability. Be responsible for all statistical tasks on the assigned clinical trials, and perform these ...
Senior Research Assistant/Research Fellow | Southampton Statistical Sciences Research Institute | Southampton
Applications are invited for a Senior Research Assistant/Research Fellow in Health Statistics in the Southampton Statistical Sciences Research Institute (S3RI, http://www.southampton.ac.uk/s3ri/). More details at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=191013WT Your duties will include; providing statistical support for various projects undertaken by members of the Faculty of Health Sciences, including advice on design questions, data analysis and statistical packages. This ...
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========================================================================Date: Tue, 15 Jan 2013 09:56:36 -0000
Reply-To: Stewart Ellison <[log in to unmask]>
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From: Stewart Ellison <[log in to unmask]>
Subject: JOB: PHASTAR: Senior clinical trial statistical programmer
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Looking to challenge yourself in a technical programming role supporting a
top 10 pharma client in 2013?
PHASTAR is looking to recruit a senior clinical trial programmer with at
least three years industry experience programming in SAS (ideally some R
experience too). If successful in this role, you will be responsible for
programming and QC of TFL's and datasets, and will be supporting phase III
trials and integrated global submissions. In addition, you will be engaged
in converting SDTM and AdaM datasets into CDISC, so experience in this field
is preferable.
- Advance your career in intellectually-stimulating, dynamic, supportive
environment
- Variety of challenging projects with large, reputable pharma companies
- Excellent remuneration (competitive salary, pension, healthcare, and
training)
- Actively contribute to PHASTAR research for journals and presentations
- Company owned and run by statisticians and programmers (mentoring
programme in place)
- All applicants will be contacted within three working days
PHASTAR has built a reputation within top ten pharma companies as a leader
in the provision of high quality clinical trial statistics and programming
services. We understand the importance of developing great people to ensure
this reputation for quality continues to grow. You will be mentored by
managers with substantial hands-on industry experience in a range of
therapeutic areas. You are required to have at least three years SAS
programming experience and relevant qualifications. You should possess
effective communication skills, and be confident liaising with clients.
Contact Stewart confidentially: Looking to challenge yourself in a technical programming role supporting a top 10 pharma client in 2013? PHASTAR is looking to recruit a senior clinical trial programmer with at least three years industry experience programming in SAS (ideally some R experience too). If successful in this role, you will be responsible for programming and QC of TFL’s and datasets, and will be supporting phase III trials and integrated global submissions. In addition, you will be engaged in converting SDTM and AdaM datasets into CDISC, so experience in this field is preferable… - Advance your career in intellectually-stimulating, dynamic, supportive environment - Variety of challenging projects with large, reputable pharma companies - Excellent remuneration (competitive salary, pension, healthcare, and training) - Actively contribute to PHASTAR research for journals and presentations - Company owned and run by statisticians and programmers (mentoring programme in place) - All applicants will be contacted within three working days PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. We understand the importance of developing great people to ensure this reputation for quality continues to grow. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You are required to have at least three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients. Contact Stewart confidentially: [log in to unmask] or call 0207 183 7062
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========================================================================Date: Tue, 15 Jan 2013 11:21:27 +0000
Reply-To: "Kells, Richard" <[log in to unmask]>
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From: "Kells, Richard" <[log in to unmask]>
Subject: COURSE: Intermediate Statistics Using SPSS course at Imperial
College
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We still have places available on next weeks Intermediate Statistics Using SPSS course...
_______________________________________________
Intermediate Statistics Using SPSS
* Tue 22 & Wed 23 January 2013 (10.00-17.00)
Weblink: www3.imperial.ac.uk/stathelp/courses/spsscourses/intermediatespss
We still have places available on next weeks Intermediate Statistics Using SPSS course...
_______________________________________________
Intermediate Statistics Using SPSS
·
Tue 22 & Wed 23 January 2013
(10.00-17.00)
Weblink:
www3.imperial.ac.uk/stathelp/courses/spsscourses/intermediatespss
_______________________________________________ We currently provide courses in
SPSS,
Stata, Matlab &
Clinical Trials. Please contact +44 (0)20 7594 3856 or
[log in to unmask] for further information.
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========================================================================Date: Tue, 15 Jan 2013 11:21:29 +0000
Reply-To: CASS <[log in to unmask]>
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From: CASS <[log in to unmask]>
Subject: S3Ri Short Course - University of Southampton
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SHORT COURSE ANNOUCEMENT:
Advanced Statistical Methods in Epidemiology – 3-Day Course University of Southampton, 4-6 February 2013
Presenters: Professor Dankmar Böhning, Dr Antonello Maruotti
This course will focus on the application of statistical methods specially developed for epidemiological study data. Topics will include the basic disease occurrence measures of prevalence and incidence with their role in surveillance including standardization, Mantel-Haenszel estimation of various effect measures including the risk ratio and risk difference for cohort studies and the odds ratio for case-control studies as well as Poisson and logistic regression to adjust for potential confounders simultaneously. The course will also include elements of time-to-event analysis including Kaplan-Meier estimation and Cox’ proportional hazards model for confounder adjustment. The course will include a mixture of lectures and practical workshops using the software STATA.
Target Audience:
The course is aimed at researchers who want to perform statistical modelling and analysis of epidemiological study data. Participants may be academic researchers in the medical and health or social sciences or may work in government, pharmaceutical industry, or other parts of the private sector.
Course Fee:
£150 per day for registered students. £200 per day for staff from academic institutions (including research centres). £250 per day for all other participants. The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.
Further Information:
http://www.southampton.ac.uk/s3ri/events/courses/details.php?id=224
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========================================================================Date: Tue, 15 Jan 2013 15:17:08 +0000
Reply-To: Alan Rossington <[log in to unmask]>
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From: Alan Rossington <[log in to unmask]>
Subject: JOB: Assistant Statistical Programmer (6 Month Contract)
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Dear Allstat
The following opportunity has arisen for an Assistant Statistical Programmer (6-month fixed term contract) at Smith & Nephew, Hull.
---------------------------------------
The Company:
For over 150 years, Smith & Nephew has developed advanced medical devices for healthcare professionals around the world. Our pioneering technologies enable nurses, surgeons and other medical practitioners to provide effective treatment more quickly and economically. Smith & Nephew is an industry leader in each of our main Divisions - Advanced Surgical Devices and Advanced Wound Management. These businesses jointly offer over 1,000 product ranges. Advanced Wound Management is headquartered in Hull.
The Role:
Based in our Outcomes Research team, the jobholder will develop SAS programs for the clinical data management and statistical reporting of clinical study data, ensuring that all processing
is accurate and in compliance with department systems.
Under the guidance/coaching of a statistical programmer, you will be required to:
Develop, test and run SAS programs for the statistical analysis and reporting of clinical study data. This includes programs for analysis datasets, tables and graphics.
Develop, test and run SAS programs for clinical data management data validation and compliance checks. Liaise with CDM and stats on validation plan specifications.
Generate randomisation schedules, inserts/labels files for code break/randomisation envelopes and study supplies labels files.
Personal development in BASE SAS and SAS Macro programming through on-the-job training, self-learning and external courses.
Candidate Requirements:
Some experience in programming
Holds a degree or equivalent in the area of IT / Maths / Statistics.
Needs to be organised, pro-active and able to work in a team environment
Keen eye for detail
Good communication skills
Salary: £22,000 - £25,000
To Apply:
Please e-mail your CV and covering letter to Elaine Moon in Human Resources at Smith & Nephew: [log in to unmask]
Closing date: Friday 18th January 2013.
http://www.smith-nephew.com
---------------------------------------
Kind Regards
Alan Rossington
Senior Statistical Programmer
Smith & Nephew Wound Management,
101 Hessle Road, Hull, HU3 2BN
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========================================================================Date: Tue, 15 Jan 2013 16:15:29 +0000
Reply-To: Jim Griffin <[log in to unmask]>
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From: Jim Griffin <[log in to unmask]>
Subject: JOB Permanent Job at University of Kent
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Senior Lecturer in Statistics (Full-time and permanent)
University of Kent, School of Mathematics, Statistics & Actuarial Science
Salary range: £45,486 - £52,706
Closing date: Sun 20 Jan 2013
Interviews: Weds 13 Feb 2013
Reference: STM0293
We are looking for someone with a strong track record in research,
evidenced by publications in leading statistical journals, and the
potential to attract external research funding. He/she will be expected
to further enhance the international research profile of the Statistics
Group both individually and through interactions with other members of
the Group. The successful applicant will also be expected to contribute
strongly to teaching at both undergraduate and postgraduate level.
The Statistics group at Kent currently comprises 6 Professors, 1 Reader
and 7 Lecturers, with three research associates and 14 PhD students. In
RAE 2008, 65% of our research was assessed as internationally excellent
or world leading. Our research emphasis is broad, including Bayesian
methods, particularly Bayesian nonparametrics and MCMC, statistical
ecology, nonparametric regression, applied probability and risk, time
series and finance, medical image analysis, biological modelling and
shape analysis. We have good collaborative links on campus, for example
with the School of Biosciences and the Durrell Institute of Conservation
Ecology.
The Statistics Group is part of the School of Mathematics, Statistics
and Actuarial Science, which has nearly 50 full-time academic staff and
offers a variety of UG and PG degrees, with about 950 current students.
As well as a BSc in Mathematics and Statistics, we have a long-running
MSC programme in Statistics and a recently launched MSc in Statistics
with Finance.
For further particulars, or to make an application, visit
http://www11.i-grasp.com/fe/tpl_kent01.asp?newms=jj&id6684&aid243
Informal enquiries can be made to: Professor Martin Ridout ([log in to unmask])
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========================================================================Date: Tue, 15 Jan 2013 10:09:40 -0700
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From: Dorothy Middleton <[log in to unmask]>
Subject: Online interactive statistics courses this February with
Instructor
Comments: To: [log in to unmask], [log in to unmask]
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For more information, see http://statcourse.com
Sample Size Determination Three lessons in three weeks. Binomial and
Poisson trials. Continuous measurements. Sequential trials plus a topic
determined by course participants. Begins February 15th 2013. Cost
$199.
Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's fMRI's.
This four-week course will show you how to analyze data with large
numbers of variables most effectively and introduce you to the software
that can do the job. Emphasis on the use of the bootstrap, decision
trees, and permutation tests. Begins February 15th 2013. $345.
Business Analytics. This four-week course will provide you with the
analytics you need to do market research and sales analyses to improve
profitability and expand business. Employees and managers from small
companies are particularly welcome, as this course introduces concepts
and practices used by large companies and multinationals. You'll be
shown how to implement analytics even with a relatively small budget and
training time. Begins 16th December 2012. $495. Additional enrollees
from the same firm are only $395. Early-bird discount of $90 if you
enroll before 6th December 2012.
Meta-Analysis Using R. Three lessons in three weeks. Begins 15 February
2013.. Combine data from multiple studies. Fixed- effects and
random-effects meta-analysis models. Identifying publication bias. R
packages "rmeta" and "meta" will be introduced for the step-by-step
implementation with "forest" and "funnel" plots. $299 per participant.
For more information, see http://statcourse.com
To obtain a coupon for an academic or government discount, write
[log in to unmask]
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========================================================================Date: Tue, 15 Jan 2013 17:19:02 +0000
Reply-To: Doug Roberts <[log in to unmask]>
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From: Doug Roberts <[log in to unmask]>
Subject: Contract SAS Programmer | CDISC Standards | London,
UK | =?iso-8859-1?Q?£45-£50_?=per hour
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Dear Allstat,
Can you see yourself working for a global Pharmaceutical company in the London area? I am currently looking to recruit an experienced SAS programmer for a 6 month contract working in the office in Greater London. They are well-known for their attractive working environment and are offering a rate of £45 upwards.
Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour
For further details or a confidential conversation please email [log in to unmask] Dear Allstat, Can you see yourself working for a global Pharmaceutical company in the London area? I am currently looking
to recruit an experienced SAS programmer for a 6 month contract working in the office in Greater London. They are well-known for their attractive working environment and are offering a rate of £45 upwards.
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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========================================================================Date: Tue, 15 Jan 2013 18:30:46 +0000
Reply-To: Dankmar Boehning <[log in to unmask]>
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<[log in to unmask]>
From: Dankmar Boehning <[log in to unmask]>
Subject: JOB: Senior Research Assistant/Research Fellow in Health
Statistics
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Senior Research Assistant/Research Fellow in Health Statistics University of Southampton
(repeated announcement)
Location: Highfield Campus
Salary: £27,578 to £33,884 Pro rata per annum
Part Time Fixed Term
Closing Date: Thursday 31 January 2013
Interview Date: To be confirmed
Reference: 191013WT
(Part Time, Fixed Term for 2 years)
Applications are invited for a Senior Research Assistant/Research Fellow in Health Statistics in the Southampton Statistical Sciences Research Institute (S3RI, http://www.southampton.ac.uk/s3ri/).
More details at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=191013WT
Your duties will include; providing statistical support for various projects undertaken by members of the Faculty of Health Sciences, including advice on design questions, data analysis and statistical packages. This will be done in coordination with other members of S3RI which you will have to organise. You will also be encouraged to develop your own lines of research and apply for externally funded research grants.
You will have or be close to completing a PhD in Statistics or a related discipline, or an MSc in statistics with some professional experience. You will have knowledge of statistical modelling and inference, and experience of statistical computing and knowledge and experience in statistical packages including SPSS, SAS, MINITAB or STATA. Knowledge and experience of managing health-related datasets would be advantageous.
The position is tenable from 1 March 2013, or as soon as possible thereafter.
Informal enquiries may be made to the Director of S3RI, Professor Peter W. F. Smith, telephone +44 (0)23 8059 43211, email: [log in to unmask] or Professor Dankmar A.W. Böhning, telephone +44 (0)23 8059 6712, email: [log in to unmask]
It is anticipated that interviews will be held in the first half of February 2013.
The closing date for applications is 31 January 2013. Interviews will take place 12 February 2013. Please apply through www.jobs.soton.ac.uk. Please quote vacancy reference number 191013WT on all correspondence.
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========================================================================Date: Tue, 15 Jan 2013 19:33:19 +0000
Reply-To: [log in to unmask]
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From: Tim Collier <[log in to unmask]>
Subject: COURSE: Clinical Trials Short Course: LSHTM June 2013
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CLINICAL TRIALS SHORT COURSE: 10-14 June 2013
London School of Hygiene & Tropical Medicine
The course provides an introduction to the area of Randomised Clinical Trials (RCT), particularly phase III trials, with more detailed coverage of some of the key issues to be considered in their design, analysis and interpretation. The topics to be covered will include:
- Design of a RCT: randomisation, trial size, 'alternative' designs and ethical issues
- Trial management: data monitoring and stopping rules
- Analysis and reporting: introduction to statistical issues for a RCT
- Ensuring quality standards: certified training in Good Clinical Practice (GCP)
- Practical development of a RCT protocol. (Participants will work in small groups to develop and present trial protocols.)
The course is relevant to all those with an interest in the rigorous evaluation of interventions in health care, particularly clinicians and others working or intending to work in the health services or related areas such as the pharmaceutical industry. All students completing the course will obtain a Certificate of Attendance including confirmation of GCP training.
For further details and online application, please go to: http://www.lshtm.ac.uk/study/cpd/sct.html
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========================================================================Date: Tue, 15 Jan 2013 20:33:07 +0000
Reply-To: Peter Lynn <[log in to unmask]>
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From: Peter Lynn <[log in to unmask]>
Organization: University of Essex
Subject: VACANCY: Professorial Posts at ISER, Essex, UK
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PROFESSORS, Institute for Social and Economic Research, Essex, UK
The Institute for Social and Economic Research (ISER) at the University
of Essex wishes to appoint two Professors within its internationally
recognised and multi-disciplinary research team. ISER
(www.iser.essex.ac.uk) is home to the ESRC Research Centre on
Micro-social Change (MiSoC) and the ESRC UK Longitudinal Studies Centre
(ULSC) which conducts the new UK household longitudinal study,
Understanding Society.
At least one of the Professorial posts will focus on health-related
research which might include, for example, life course epidemiology,
health economics, or medical sociology. Other key areas are (i) income,
consumption, and material well-being, and (ii) statistical methods.
While we seek applications in these three key areas, applications which
are relevant to other areas of ISER's research portfolio are also welcome.
We seek talented and highly motivated individuals with experience of
leading research programmes and a distinguished publication record. The
successful candidates will have a higher degree in a relevant social
science discipline and an established professional reputation in their
field. They will provide research leadership, stimulate innovative
research, attract large scale research funding, and develop ISER's
research portfolio in the future.
Please use the link below for a full job description, person
specification and further information relating to this post. Please read
this information carefully before applying for this post as it contains
details of documents that must be attached to your application.
Applications should be made on-line, but if you would like advice or
help in making an application, or need information in a different
format, please telephone (01206 874588/873521).
Salary will be commensurate with experience. Closing date for
application is 20 January 2013.
Further information about this post at http://icheevoo.notlong.com
*************************************
Peter Lynn
Professor of Survey Methodology
*e*: [log in to unmask]
*twitter*: @ProfPeterLynn
*web*: www.iser.essex.ac.uk/people/plynn
*tel*: +44 (0)1206 874809
*fax*: +44 (0)1206 873151
*mail*: Institute for Social and Economic Research (ISER), University of
Essex, Colchester, UK CO4 3SQ
This email and any attachments to it may be confidential and are
intended solely for the use of the individual to whom it is addressed.
Any views or opinions expressed are solely those of the author and do
not necessarily represent those of the Institute for Social and
Economic Research. If you are not the intended recipient of this email,
please permanently delete it. You must neither take any action
based upon its contents, nor copy or show it to anyone. Please contact
the sender if you believe you have received this email in error.
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========================================================================Date: Wed, 16 Jan 2013 04:20:54 +0000
Reply-To: Stuart Macgregor <[log in to unmask]>
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From: Stuart Macgregor <[log in to unmask]>
Subject: JOB: Postdoc position at QIMR, Brisbane, Australia
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Postdoctoral Researcher (Research Officer) - Statistical Genetics Laboratory.
Queensland Institute of Medical Research (QIMR), Brisbane, Australia
Title: Researcher in Statistical Genetics
Description: Advances in technology which allow assaying of millions of markers simultaneously have revolutionized gene mapping in human genetics, making it one of the most exciting and fast moving fields in science. Genetic studies are done in the laboratory by using statistical and computational methods to link disease and trait phenotypes to high density genetic data. You will develop and apply methods for conducting and interpreting genetic association studies (gene-based analysis, pathway analysis, genetic risk profiling). The primary focus of your work will be applications of new and existing statistical methods to a wide range of phenotypes. Two specific projects fall within the remit of the position
- Understanding genetic predisposition to eye disease. Several studies are ongoing, focusing both on disease cohorts and on large samples of healthy individuals with quantitative measures relevant to eye disease.
- Understanding the genetic basis of cancer through detailed interrogation of large scale cancer data sets. This work will be initially focusing on esophageal adenocarcinoma although with possible expansions to other areas of interest within the lab, particularly melanoma and ovarian cancer.
Environment: You will be based in the Statistical Genetics lab at QIMR. The Lab comprises staff and students working on statistical methods development and on applications to data. Specific projects ongoing in the Lab are listed here
http://www.qimr.edu.au/page/Lab/Statistical_Genetics/Statistical_Genetics_research/
You will work closely with both members of the Lab and with co-located staff within the Genetics and Computational Biology Department at QIMR (http://www.qimr.edu.au/page/Our_Research/Research_Departments/Genetics/ ). The Department has a critical mass of internationally renowned researchers interested in dissecting the genetic basis of human disease (12 laboratories with overlapping expertise). QIMR, one of the largest medical research institutes in the southern hemisphere, is undergoing a period of expansion, with the current staff roll of ~600 set to increase substantially in the coming years.
For informal enquiries, please contact Dr Stuart Macgregor ([log in to unmask])
http://www.qimr.edu.au/page/Lab/Statistical_Genetics/
Research Areas: Statistical Genetics, Genetic Epidemiology, Cancer Genetics.
Suitable background: The post is ideally suited to someone with a PhD in genetic epidemiology, statistics or bioinformatics. Experience in the analysis/manipulation of large datasets and a good knowledge of computing is desirable. Preference will be given to applicants with a very good publication record relative to opportunity. Experience in cancer or ophthalmic genetics advantageous but not essential. Non-statistical applicants must be able to demonstrate some knowledge of statistics. For statistical applicants, some knowledge of genetics is required.
Grade: QIMR Research Officer, salary AUD68,587-73,624, depending on experience. Attractive salary packing benefits also apply (top $16,000 paid tax free). Appointment is full-time, fixed term for an initial period of up to 2 years (renewal subject to funding and performance)
To apply see http://recruitment.qimr.edu.au/viewjob.aspx?jobid=294
In your application please
i) Describe your research interests
ii) Indicate your level of competence in statistics, in computing/programming and in biology/genetics
iii) Include details of 3 academic referees
Closing date: 7th February 2013.
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========================================================================Date: Wed, 16 Jan 2013 09:38:28 +0100
Reply-To: setia Pramana <[log in to unmask]>
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From: setia Pramana <[log in to unmask]>
Subject: Free workshop on Development of R software for data analysis,
Hasselt, Belgium
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We would like to invite you for the workshop “Development of R software for
data analysis”.
The workshop is co organized by OpenAnalytics and CenStat and will take
place in Hasselt University on *13/03/2013* from *09:00 to 17:30*.
The workshop will be focused on the use of R software and R Applications in
a dynamic and changing working environment (see the program below).
The workshop is free of charge but*
**registration We would
like to invite you for the workshop “Development of R software for data
analysis”. The
workshop is co organized by OpenAnalytics and CenStat and will take place in
Hasselt University on 13/03/2013 from 09:00 to 17:30. The
workshop will be focused on the use of R software and R Applications in a
dynamic and changing working environment (see the program below). The
workshop is free of charge but registration is mandatory and can be
done online using the following link: http://www.uhasselt.be/Workshop-R We are
looking forward to see you in the workshop, Martin Otava, Pushpike Thilakrathne
and Tobias Verbeke. Program
of the workshop 08:30-09:00:
Coffee + Welcome 09:00-10:30:
Tobias Verbeke (Open Analytics): Proper
working environment and best practices when developing R code + R
packaging 10:30-11:00:
Coffee break. 11:00-12:30:
Tobias Verbeke:
Proper
working environment and best practices when developing R code + R packaging 12:30-13:30:
Lunch 13:30-14:00:
Ziv Shkedy (Hasselt University):
Lost in
translation or maybe not ? translation of data analysis framework into a
set of a R packages 14:00-15:00:
Setia Pramana(Karolinska Institutet):
Development
of GUIs and packaging. 15:00-15:30:
Pushpike Thilakrathne (Hasselt University):
Development
of an R package for Biomarkers validation with survival outcome 15:30-16:00:
Coffee break. 16:00-16:45:
Tobias Verbeke:
The
R Service Bus (RSB): Integrating R in Work flows and Processes 16:45-17:30:
Tobias Verbeke:
The
R Service Bus (RSB) + summary of the workshop. 17:30: Reception.
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========================================================================Date: Wed, 16 Jan 2013 08:39:33 +0000
Reply-To: Laura Bonnett <[log in to unmask]>
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From: Laura Bonnett <[log in to unmask]>
Subject: Survival Analysis for Junior Researchers: Discounted
accommodation deadline approaching
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If you’re thinking of attending the Survival Analysis for Junior Researchers conference in Liverpool, March 25th & 26th, register now to be eligible for discounted accommodation at base2stay Liverpool (www.base2stay.co.uk/liverpool). Offer ends on 31st January (although rooms will still be available after this time).
To register for the conference go to: www.liv.ac.uk/survival
Conference registration deadline is 8th March so act now to avoid missing out on a conference aimed at career young researchers, PhD and postgraduate students involved in the analysis or application of survival time data. The registration fee is only £175 and includes two keynote speakers (Prof. Dave Collett and Dr Paul Lambert), delegate oral presentations, daytime lunch and light refreshments and an evening of dinner and entertainment at The Beatles Story, Liverpool.
If you missed the abstract submission deadline fear not! Email you abstract (250 words) to [log in to unmask] before 24th January and we may be able to accommodate you in our programme.
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========================================================================Date: Wed, 16 Jan 2013 08:37:25 +0000
Reply-To: Natalie Fforde <[log in to unmask]>
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From: Natalie Fforde <[log in to unmask]>
Subject: Advice from Statisticians in Adam 2.1
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Hi Allstat
Could any statisticians with Adam 2.1 implementation please email me as I would like to understand the application in more detail....?
My email is: [log in to unmask]
Many thanks
Natalie
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========================================================================Date: Wed, 16 Jan 2013 09:07:49 +0000
Reply-To: Kim Pearce <[log in to unmask]>
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From: Kim Pearce <[log in to unmask]>
Subject: Your Views - Ordinal Logistic Regression : Odds Ratio
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Dear all,
I would appreciate your views on the following:
For Binary Logistic Regression with binary (0/1) explanatory variables :
Log (odds of event) = B0+B1*X_1 + B2*X_2 etc....
For a particular variable (say X_1) the odds ratio e^B1 tells me that someone with characteristic X1 is e^B1 more likely to have the 'event' than someone without characteristic X1 (with other variables remaining the same).
Say if we had 3 response categories: good reading skills, medium reading skills, poor reading skills and 4 binary (0/1) explanatory variables. We derive the constant, alpha1, which is associated with 'good' category and constant,alpha2, associated with 'good' or 'medium' category . I use the ordinal regression procedure in SAS so that increasing 'score': B1*X_1 + B2*X_2 +B2 X_3 + B3 X_4 means tendency towards better reading skill. Now would we say that the odds ratio e^B1 means *both* that
(i) Someone with X_1=1 has e^B1 times the odds of having good reading skill (rather than poor or medium) compared to someone with X_1=0.
AND
(ii) Someone with X_1=1 has e^B1 times the odds of having good or medium reading skill (rather than poor) compared to someone with X_1=0.
Many thanks for your views on this,
All the Best,
Kim
Dr Kim Pearce PhD, CStat
Senior Statistician
Haematological Sciences
Institute of Cellular Medicine
William Leech Building
Medical School
Newcastle University
Framlington Place
Newcastle upon Tyne
NE2 4HH
Tel: (0044) (0)191 282 0641
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========================================================================Date: Wed, 16 Jan 2013 10:49:50 +0000
Reply-To: Katarina Fors <[log in to unmask]>
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From: Katarina Fors <[log in to unmask]>
Subject: COVANCE DATABASE ASSOCIATE II (LEEDS)
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DATABASE ASSOCIATE II
COVANCE is a leading global drug development services company and we provide support to the Pharmaceutical and Biotechnology industries.
About the Job
This is a permanent role based in our office in central Leeds. As a Database Associate II you will provide technical services (Electronic Data Capture, Remote Data Capture, Oracle Clinical and Bedside Data Capture) on assigned projects to achieve project integrity and the delivery of on time, quality data. Other responsibilities and duties may include:
• Perform all activities related to study build and design including preparing eCRF specification or annotated data capture instruments and screen development
• May participate in sponsor screen design review meetings
• Create the Edit check specification
• Write validation / derivation procedures based on the Edit Check Specification, eCRF specification or data capture instrument and the protocol.
• May conduct quality control of study build and design activities including eCRF specification or annotated data capture instruments, screen design, validation checks and edit check specification
• Creation of test data / scripts to test both the screen design and validation checks.
• Participate in client meetings, study initiation visits and study update meetings.
• Regularly inform CDARO Project Manager and/or client of progress of projects, potential problems, and overall status of the study build and design.
• Implement processes as they are refined or as new processes are developed and may also initiate and participate in the ongoing review of the processes to ensure they are continually improved.
About You
• Typically a BSc in a computing, mathematical, life science, pharmacy or related subject or equivalent.
• Previous experience in clinical research, database maintenance and programming would be highly beneficial.
• Knowledge of basic Simple Query Language (SQL) is preferred.
• Knowledge of EDC/Oracle Clinical database and data management is preferred.
• Develop problem solving skills and a willingness to learn and seek advice from senior programming staff and staff in related disciplines
• Good time management and organization skills, the ability to prioritize own work to meet tight deadlines while maintaining the highest standards of work.
• Effective communication skills; a co-operative and team orientated approach.
We Offer
Covance’s ongoing success offers team members unsurpassed growth and career development opportunities.
At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career.
If this sounds interesting, please email me and I will be happy to tell you more about the role.
Kind Regards
Katarina
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========================================================================Date: Wed, 16 Jan 2013 10:50:44 +0000
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From: Sarah Miller <[log in to unmask]>
Subject: CLINICAL TRIALS SHORT COURSE, London, June 2013
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CLINICAL TRIALS SHORT COURSE: 10-14 June 2013
London School of Hygiene & Tropical Medicine
The course provides an introduction to the area of Randomised Clinical Trials (RCT), particularly phase III trials, with more detailed coverage of some of the key issues to be considered in their design, analysis and interpretation. The topics to be covered will include:
- Design of a RCT: randomisation, trial size, 'alternative' designs and ethical issues
- Trial management: data monitoring and stopping rules
- Analysis and reporting: introduction to statistical issues for a RCT
- Ensuring quality standards: certified training in Good Clinical Practice (GCP).
- Practical development of a RCT protocol. (Participants will work in small groups to develop and present trial protocols.)
The course is relevant to all those with an interest in the rigorous evaluation of interventions in health care, particularly clinicians and others working or intending to work in the health services or related areas such as the pharmaceutical industry. All students completing the course will obtain a Certificate of Attendance including confirmation of GCP training.
For further details and online application, please go to: http://www.lshtm.ac.uk/study/cpd/sct.html
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========================================================================Date: Wed, 16 Jan 2013 10:51:50 +0000
Reply-To: Katarina Fors <[log in to unmask]>
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From: Katarina Fors <[log in to unmask]>
Subject: COVANCE-SAS PROGRAMMER II (Early Phase)
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SAS PROGRAMMER II (Early Phase)
COVANCE is a leading global drug development services company and we provide support to the Pharmaceutical and Biotechnology industries.
This is a full-time permanent position and will be based in our central Leeds office. The primary activity of the SAS Programmer is to develop and review SAS® programs and output for the management and reporting of clinical trial data. The individual in this role will have responsibilities including but not limited to the following:
About the Job
• Participate in the Statistical Programming reviews
• Develop and review SAS programs and output as required
• Carry out electronic data transfer (both incoming and outgoing).
• Set-up utilities/SAS based systems to assist and facilitate Clinical Data Management activities.
• Review draft and final production runs for projects to ensure quality and consistency
About You
• BSc in a computing, life science, mathematical or Statistical subject.
• Typically 2-3 years experience working as a Statistical Programmer in the clinical research industry
• An understanding of the fundamental principles of programming, program development and review
• Experience in the preparation of Programming Plans, study set-up and review of study specific documents
We Offer
Covance’s ongoing success offers team members unsurpassed growth and career development opportunities.
At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career.
There is no better time to join us!
Covance is committed to diversity in the workplace and is an equal opportunity employer. (M/F/D/V). Your confidentiality and privacy are important to us.
If this role is interesting for you then please send me an email and I will be happy to tell you more.
Kind Regards
Katarina
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========================================================================Date: Wed, 16 Jan 2013 10:53:38 +0000
Reply-To: Katarina Fors <[log in to unmask]>
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From: Katarina Fors <[log in to unmask]>
Subject: SENIOR/PRINCIPAL STATISTICAL PROGRAMMER (Home or Office based)
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SENIOR/PRINCIPAL STATISTICAL PROGRAMMER (Home or Office based)
Covance, with headquarters in Princeton, New Jersey, is one of the world’s largest and most comprehensive drug development services companies, with annual revenues greater than $2 billion, employees in more than 60 countries, and more than 11,000 employees worldwide.
In this role you will be able to work from our office in Maidenhead or Leeds or be working from home. A large part of Covance employees are able to have the flexibility to work from home and this is well organised and accepted within the company.
For us the most important is to find the right staff that will enjoy working in a global environment and can bring value to a successful company and having fun while doing it. You will have a great career progression and have the possibility to develop within the SAS programming department or move into one of the other departments that might interest you.
About the Job
The primary activities of the Senior Statistical Programmer are to develop and review SAS® programs and output for the management and reporting of clinical trial data. Act as a Lead Programmer for increasingly complex or multi-protocol projects (Phase 2-4) and to act as a Statistical Programming consultant to clients and internal customers. We are looking for someone that thrives in a challenging environment and that is able to lead projects and deliver according to timelines. Responsibilities including but not limited to the following:
• Ensure quality of personal work and the work of the team when acting as a Lead Programmer.
• Assume team member responsibilities, including representing Statistical Programming at internal project team meetings, client meetings and audits.
• Provide input into assessments of resource requirements on a regular basis. Provide feedback to management if any action is needed to increase utilization, improve efficiency or amend the resource levels required on a project.
• Advise Senior Statistical Programming staff of changes in scope of projects to enable the timely development of change orders.
• Prioritize personal workload to meet specified completion dates and perform work with minimal supervision.
• Demonstrate excellent problem solving skills, a proactive approach and a willingness to take decisions on a regular basis.
• Maintain awareness of new developments in programming techniques and IT which may be applied to the management and reporting of clinical trial data.
• Technical planning (which includes overseeing the set-up of the key macros/SAS programs) for multi-protocol projects (e.g., appropriate documentation required by the project).
• Work on complex problems where analysis of situations or data requires an evaluation of intangible variables; development of technical solutions to abstract problems which require the use of ingenuity and creativity.
• Prepare and review of Programming Plans.
About You
• BSc in a computing, life science, mathematical or Statistical subject or equivalent
•Extensive experience and proven skills in the use of SAS within a clinical trials environment, typically 4-5 years
• Extensive experience in the development and review of SAS programs for management and reporting of clinical trial data as well as experience in the development and review of programs to perform electronic data transfer.
• Excellent problem solving skills, a proactive approach and a willingness to take decisions, seeking advice from senior Statistical Programming staff to confirm decisions when necessary.
• Excellent organizational skills and the ability to delegate and prioritize work.
We Offer Covance’s ongoing success offers team members unsurpassed growth and career development opportunities. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. There is no better time to join us! Covance is committed to diversity in the workplace and is an equal opportunity employer. (M/F/D/V). Your confidentiality and privacy are important to us
If this role interest you then please feel free to send me an email and Im happy to explain more.
Kind Regards
Katarina
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========================================================================Date: Wed, 16 Jan 2013 11:34:45 +0000
Reply-To: Claire Collinson <[log in to unmask]>
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From: Claire Collinson <[log in to unmask]>
Subject: Statistician Vacancy - Permanent
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Statistician
North Wales
£26K - 36K pa
We have an exciting opportunity for a Statistician to advance their career by joining a leading healthcare organisation based in North Wales. Applying statistical methods you will collect, organise, analyse and interpret data. Other duties and responsibilities include:
· Input on the use and application of statistical techniques.
· Education and training of departmental staff.
· Technical operation support through statistical process development.
· Statistical model design, development and implementation.
· Presentation development and delivery.
· Act as biostatistics subject matter expert.
Candidates will be educated to degree or post graduate level in statistics or biostatistics and have worked within a comparable environment. Candidate must have experience with SAS, SPSS, Minitab and also an understanding of GMP.
Please apply by sending your CV to [log in to unmask] Statistician North Wales £26K – 36K pa We have an exciting opportunity for a Statistician to advance their career by joining a leading healthcare organisation based in North Wales. Applying statistical methods you will collect, organise, analyse and interpret data. Other duties and responsibilities include: · Input on the use and application of statistical techniques. · Education and training of departmental staff. · Technical operation support through statistical process development. · Statistical model design, development and implementation. · Presentation development and delivery. · Act as biostatistics subject matter expert. Candidates will be educated to degree or post graduate level in statistics or biostatistics and have worked within a comparable environment. Candidate must have experience with SAS, SPSS, Minitab and also an understanding of GMP. Please apply by sending your CV to [log in to unmask] Claire Collinson BSc (Hons) Cert RP MREC Core Science Business Manager Kinetica - Core Science Floor 13, Whitehall Waterfront 2 Riverside Way Leeds LS1 4EH UK: 01132 61 71 81 International: +44 1132 617181 Fax: 01132 61 71 80 Please look at our new website: www.kinetica.co.uk kinetica is the trading name of Kinetica (UK) Ltd. Registered office: Whitehall Waterfront, 2 Riverside Way, Leeds LS1 4EH. Registered in England, Company Number 4694831 Connect with me on Linked In - http://www.linkedin.com/in/clairecollinson
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========================================================================Date: Wed, 16 Jan 2013 12:56:30 +0000
Reply-To: Steven Ward <[log in to unmask]>
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From: Steven Ward <[log in to unmask]>
Subject: NICE - 2x Health Economics jobs
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*********************************************************************************************************************************************************************************************************************
http://www.jobs.nhs.uk/showvac/DQhIOf/903113/913025148
The National Institute for Health and Clinical Excellence (NICE) produces guidance, quality standards and other advice products to support health, public health and social care professionals to make sure that the care they provide is of the best possible quality and offers the best value for money.
Our guidance and other products are evidence-based, independent and authoritative. They can be used by the NHS, local authorities, charities, and anyone with a responsibility for commissioning or providing healthcare, public health or social care services. We also support these groups in putting our guidance into practice.
Internal Clinical Guidelines Programme (ICG) - Centre for Clinical Practice
• Health Economic Modeller – Band 8A (£38,851 - £26,621) - Manchester based (although London will be considered for this role)
• Health Economist – Band 7 (£30,460 - £40,157) – Manchester based
NICE’s Internal Clinical Guidelines (ICG) programme within the Centre for Clinical Practice (CCP) develops clinical guidelines for the NHS. These are recommendations, based on the best available evidence of clinical and cost effectiveness, on the appropriate treatment and care of people with specific diseases and conditions.
We are recruiting to two posts; a Health Economist and a Health Economic Modeller. Working collaboratively within a small multidisciplinary team, the post holder(s) will be responsible for advising on health economic issues during development of the guidelines, identify the types of evidence to address the questions, appraising the evidence and preparing structured summaries of the evidence. The post holder(s) will also undertake the development of original, applied health-economic analyses that will be used to inform the deliberations of Guideline Development Groups (GDGs), comprising decision-makers who are predominantly clinical and patient experts with limited formal expertise in health economics.
The Health Economist will have skills in health technology appraisal/clinical guideline development with an understanding of the principles of health economic modelling and, ideally, experience in developing such models; you will be an enthusiastic analyst with a relevant postgraduate qualification (e.g. public health, operational research, statistics, health service research or health economics) or equivalent experience. Critical appraisal, interpretation and synthesis of health care research evidence; along with familiarity with evidence-based healthcare, methods of clinical guideline development or health technology assessment are essential.
The primary requirement for the position of Health Economic Modeller is demonstrable ability in the practical application of mathematical modelling to inform real-world decision problems. Candidates should have skills and experience in decision-analytic modelling, ideally gained in the context of health-economic evaluation, and a commitment to maximising value in the NHS. At present, the team has a preference for models developed in MS Excel, TreeAge and/or WinBUGS; however, applications from candidates with experience in other platforms are welcome. Excellent skills in the analysis and synthesis of quantitative data are essential, as is the ability to communicate the methods and results of complex analyses to a range of audiences, both orally and in writing.
The post holder(s) will have the opportunity to extend their own skills in modelling and health economics and contribute to methodological development in the field.
If you would like to discuss the posts, please call 0161 8703101 for an informal discussion with Nicole Elliott (Associate Director).
Please indicate on your application form if you have a preference to location or band (7 or 8a) so this can be taken into account.
Closing date for applications: 25th January 2013 at noon. No late applications will be accepted.
Interview Date: 25th February 2013
No agencies please.
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http://www.nice.org.uk
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========================================================================Date: Wed, 16 Jan 2013 13:03:06 +0000
Reply-To: "Kirby, Simon" <[log in to unmask]>
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From: "Kirby, Simon" <[log in to unmask]>
Subject: PSI Surrogate markers course
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The Statistical Evaluation of Surrogate Endpoints in Clinical Trials
presented by Prof. Geert Molenberghs, 20 - 21 February 2013. Near London, UK.
The identification and use of surrogate endpoints, i.e. measures that can replace or supplement other endpoints in evaluations of experimental treatments or interventions, is a general strategy that has stimulated much enthusiasm. Surrogate endpoints are useful when they can be measured earlier, more conveniently, or more frequently than the "true" endpoints of primary interest. Regulatory agencies around the globe are introducing provisions and policies relating to the use of surrogate endpoints in registration studies. But how can one establish the adequacy of a surrogate, in the sense that treatment effectiveness on the surrogate will accurately predict treatment effect on the intended, and more important, true outcome? What kind of evidence is needed, and what statistical methods portray that evidence most appropriately?
For more information and to register: https://services.psiweb.org/site/events/events_summary.asp
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The Statistical Evaluation of Surrogate Endpoints in Clinical Trials presented by Prof. Geert Molenberghs, 20 – 21 February 2013. Near London, UK.
The identification and use of surrogate endpoints, i.e. measures that can replace or supplement other endpoints in evaluations of experimental treatments or interventions, is a general strategy that has stimulated much enthusiasm. Surrogate
endpoints are useful when they can be measured earlier, more conveniently, or more frequently than the "true" endpoints of primary interest. Regulatory agencies around the globe are introducing provisions and policies relating to the use of surrogate endpoints
in registration studies. But how can one establish the adequacy of a surrogate, in the sense that treatment effectiveness on the surrogate will accurately predict treatment effect on the intended, and more important, true outcome? What kind of evidence is
needed, and what statistical methods portray that evidence most appropriately? For more information and to register:
https://services.psiweb.org/site/events/events_summary.asp
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========================================================================Date: Wed, 16 Jan 2013 15:04:50 +0000
Reply-To: James Ross <[log in to unmask]>
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From: James Ross <[log in to unmask]>
Subject: Epidemiology Research Assistant - Middlesex, UK
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Dear Allstat,
I am currently recruiting on behalf of a world leading pharmaceutical company in seeking an Epidemiology Research Assistant for an initial 12 month contract based in Middlesex.
The successful candidate will possess an MSc or PhD within Epidemiology or a closely related field.
Key Responsibilities:
- Execute and/or manage discrete projects related to disease understanding relevant to drug development and clinical trials- Conduct Literature reviews
- Draft sections of Epi Packages or other similar descriptive epidemiology documents for internal or external audiences
- Manage studies using databases available within the Epi Dept
2. Summarize information from completed studies for inclusion in regulatory documents, internal study reports, or Powerpoint slides for presentations
3. Provide project management and communication support for large, complex epidemiology collaborative studies
- Schedule meetings, track timelines, monitor budgets, draft meeting minutes / decision logs
- Post and maintain repository of relevant references for team
- Maintain research agreements with External Experts for SHARP
Requirements:
- MSc, MPH or MSPH in Epidemiology required; PhD/Doctorate or MD with MSc (MPH) in epidemiology preferred.
- Prior experience conducting and/or supporting epidemiologic research.
- Ability to resolve problems through resourceful use of information and contacts.
- Ability to work well within a business-driven environment, balance priorities and handle multiple tasks through good planning, project administration, and organisation skills.
- Excellent communication skills to interact effectively with multiple epidemiologists, database analysts, and teams.
If you would like to learn more please get in touch at [log in to unmask] Dear Allstat, I am currently recruiting on behalf of a world leading pharmaceutical company in seeking an Epidemiology Research Assistant for an initial 12 month contract based in Middlesex. The successful candidate will possess an MSc or PhD within Epidemiology or a closely related field. If you would like to learn more please get in touch at [log in to unmask] or 01737 236808 Kind regards, James James Ross Volt Life Sciences Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822
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========================================================================Date: Wed, 16 Jan 2013 07:56:43 -0800
Reply-To: khizar azam <[log in to unmask]>
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From: khizar azam <[log in to unmask]>
Subject: survey and factor analysis
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Dear All Greetings,I have a question while analysing a long questionnaire data i am not getting meaningfull results for factor analysis. What are my options? Is it the only way to develop a parsimonous model?What if i take all the variables as my independant variables and have a dicotomous dependant variable and develop a model.cheerskhizar
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Dear All Greetings, I have a question while analysing a long questionnaire data i am not getting meaningfull results for factor analysis. What are my options? Is it the only way to develop a parsimonous model? What if i take all the variables as my independant variables and have a dicotomous dependant variable and develop a model. cheers khizar
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========================================================================Date: Wed, 16 Jan 2013 16:28:31 +0000
Reply-To: James Brough <[log in to unmask]>
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From: James Brough <[log in to unmask]>
Subject: SAS Programmer =?UTF-8?Q?–_?=Italy (Freelance Contract -
6 Months)
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Pharmanet i3 Strategic Resourcing are currently recruiting for experienced SAS Programmers with clinical trial experience to work on clinical development activities related to on-going Pharmanet i3 client’s studies in Italy.
As a 6 month contract, the position is ideally suited to a freelance SAS Programmer who is home based, and there is good flexibility for candidates with proven SAS Programming experience within clinical trials.
In this position you will be required to program according to specifications, analysis datasets, listings, and figures for clinical trials and submission activities.
For this position you should have a minimum of degree level education and be able to demonstrate proven experience of SAS programming working extensively on clinical trials in a commercial setting (Pharma/CRO), with the ideal level or SAS programming experience being at around 5 years plus.
You should have full working experience with SAS BASE, SAS MACRO, SAS GRAPH & SAS STAT and a thorough knowledge and understanding of CDISC. Candidates must have excellent level of English and Italian languages, as well as strong communication skills. Candidates must also possess full eligibility to work within the Italy and be currently based in Italy.
If you have the required experience please send your CV to [log in to unmask]
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========================================================================Date: Wed, 16 Jan 2013 17:45:26 +0000
Reply-To: Maria Iacovou <[log in to unmask]>
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From: Maria Iacovou <[log in to unmask]>
Subject: PhD SCHOLARSHIPS: Survey Methods, Economics, Health Research,
Applied Social and Economic Research
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PhD scholarships at the Institute of Social and Economic Research (ISER), University of Essex
ISER is an interdisciplinary research centre with a thriving PhD program.
We are currently accepting applications from students wishing to study for a PhD (+3),
or a Masters plus PhD (1+3), in any quantitative social science discipline.
Prospective students are also invited to apply for one of our fully-funded studentships, available as part of Essex University's ESRC-funded Doctoral Training Centre http://www.essex.ac.uk/dtc/
These studentships are open to all suitably qualified applicants, regardless of nationality. The deadline for applications is 15th February, 2013.
ISER offers the following research pathways:
- Economics
- Applied Social and Economic Research
- Survey Methodology
- Health Research
Information about our PhD programs may be found on our website http://www.iser.essex.ac.uk/study
Prospective applicants should also contact our Director of Graduate Studies, Dr Maria Iacovou ([log in to unmask])
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========================================================================Date: Wed, 16 Jan 2013 18:07:15 +0000
Reply-To: Doug Roberts <[log in to unmask]>
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From: Doug Roberts <[log in to unmask]>
Subject: Senior Statistical Programmer | CDISC expertise | Germany |
=?utf-8?Q?€65_-_€75_?=per hour
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========================================================================Date: Wed, 16 Jan 2013 22:37:32 +0000
Reply-To: Tao Chen <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Tao Chen <[log in to unmask]>
Subject: EngD opening at Univ of Surrey: model-based optimisation,
control and monitoring of water processing plants
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--14dae9399bd930481404d36f8678
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An Engineering Doctorate (EngD) project has been made available at the
University of Surrey, UK, in the field of process control and process
chemometrics, entitled "Minimising Energy Consumption in the Water
Industry: A Robust Model-Based Optimal Control Approach". The
candidate should have a good degree ideally in chemical process or
industrial engineering, or other disciplines with substantial exposure
to quantitative methods (such as electronic or mechanical
engineering). Prior experience in computer programming is a plus.
Prior experience in data-based modelling, chemometrics, optimisation
or automatic control is a district advantage. Work experience in the
environmental and water industries is looked upon favourably.
The nature of EngD requires a combination of technical and
transferable skills. The candidates must be capable of working across
a range of academic and professional disciplines, and in a complex
organisational structure. Critical and innovative thinking is vital.
The successful candidate will be primarily based in the company
premises at Warrington, Cheshire, UK with regular visits to the
University for training and meeting purposes.
The EngD lasts for four years combining PhD-level research projects
with taught courses, and students spend about 75% of their time
working directly with a company. Tuition fee will be covered, plus c.
£19,700 annual stipend tax free, and dedicated training budget for
workshops and conferences. Candidates must have a “settled status” in
the UK (no restrictions on how long you can stay), been “ordinary
resident” in the UK for the past 3 years (see
http://www.epsrc.ac.uk/funding/students/Pages/eligibility.aspx ).
Interested candidates please send your CV with cover letter to Dr Tao
Chen ([log in to unmask]) to initiate informal discussions. Formal
application procedures will follow soon on the University of Surrey
website.
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========================================================================Date: Wed, 16 Jan 2013 23:32:56 +0000
Reply-To: astaines <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: astaines <[log in to unmask]>
Subject: Child health meeting in Dublin May 30th and 31st - submissions
open till Feb 28th.
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Dear colleagues,
On behalf of the RICHE and CHICOS projects, Martine Vrijheid
and I are hosting an international child health meeting
which will be held in Dublin in May 2013 (Thursday May 30th
and Friday May 31st). RICHE is preparing a roadmap for child
health research for Europe, and CHICOS is preparing a
strategy for cohort research. Both projects will launch
their reports at the meeting. The TACTICS and EURO-PERISTAT
projects are our partners.
We are holding this meeting to celebrate European child
health research, and to flag the importance of this work to
the Commission, and other policy makers. Other European
child health projects (EU-funded or otherwise) are invited
to present, and there will be a special session for
researchers from the island of Ireland. The call for
submissions is open until February 28th.
We have a number of exciting speakers, incuding Patricia
Reilly from Maire Geoghegan-Quinns' office, Lennart Köhler
from the Nordic school of Public Health, and Helmut Brand
from Maastricht and Bad-Gastein. Registration fees will be
less than €250.
We would be very grateful if you could disseminate news of
our conference through your networks. The conference website
is at http://child2025.eu/.
Please come!
Anthony Staines and Martine Vrijheid
--
Anthony Staines, Professor of Health Systems,
School of Nursing and Human Sciences, DCU, Dublin 9,Ireland.
Tel:- +353 1 700 7807. Mobile:- +353 86 606 9713
http://astaines.eu/
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========================================================================Date: Thu, 17 Jan 2013 08:59:29 +0000
Reply-To: Derrick Bennett <[log in to unmask]>
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From: Derrick Bennett <[log in to unmask]>
Subject: COURSE: IEA International Course on Epidemiological Methods
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IEA 5th International Course on Epidemiological Methods
Hangzhou, China | April 15-26, 2013
Hosted by Beijing University
This is an intermediate to advanced level residential course. Participants will be required to have a Master's or Doctoral degree in public health, epidemiology or a related field, or a similar level of research experience in these areas.
It will include lectures, exercises, discussion sessions, and practical experience in the design of a research proposal. The course will be of interest to epidemiologists, public health professionals, statisticians, and clinicians.
Priority will be given to IEA members. Participants must attend the entire course from 9 a.m. Monday, April 15 to 1p.m. Friday, April 26.
Language
The working language of the course will be English, and participants will be expected to have sufficient knowledge of spoken and written English to participate actively in discussions.
For further information and to download the course brochure, please visit http://iea-course.org/.
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IEA 5th International Course on Epidemiological Methods
Hangzhou, China | April 15-26, 2013
Hosted by Beijing University
This is an intermediate to advanced level residential course. Participants will be required to have a Master’s or Doctoral degree in public
health, epidemiology or a related field, or a similar level of research experience in these areas.
Language
The working language of the course will be English, and participants will be expected to have sufficient knowledge of spoken and written
English to participate actively in discussions.
For further information and to download the course brochure, please visit
http://iea-course.org/.
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
--_000_9C2287F09C322C42B10786C01B97C4EE52F44B9AEXCH1ctsuoxacuk_--
========================================================================Date: Thu, 17 Jan 2013 09:24:41 +0000
Reply-To: Chris Wallace <[log in to unmask]>
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From: Chris Wallace <[log in to unmask]>
Subject: JOB: University of Cambridge,
Research Associate/Senior Research Associate)
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Statistician (Research Associate/Senior Research Associate)
JDRF/WELLCOME TRUST DIABETES AND INFLAMMATION LABORATORY
The JDRF/Wellcome Trust Diabetes and Inflammation Laboratory (DIL;
https://www-gene.cimr.cam.ac.uk/ ) has been at the forefront of recent
international success in discovering the genetic variants associated
with type 1 diabetes and their function. We are now working to
understand the mechanism through which genetic variation can influence
disease risk both through studies of healthy individuals who carry
genetic susceptibility variants and within the context of intervention
trials with individuals with new onset diabetes.
We require an experienced statistician with an established track record
to join our statistics group
(https://www-gene.cimr.cam.ac.uk/staff/dilstats/ ), which is a friendly
group of Bayesians and frequentists who analyse a diverse range of low
and high dimensional data, including flow cytometric, gene expression,
genotype and sequencing data. Our challenge is to integrate analyses of
these data to address the research aims of the DIL. The DIL is located
in the Cambridge Biomedical Reasearch Campus and we are building strong
collaborative links with the MRC Biostatistics Unit
(http://www.mrc-bsu.cam.ac.uk/ ) under its recently appointed director,
Professor Sylvia Richardson.
The ideal candidate will have a PhD in statistics or a closely related
discipline, several years postdoctoral experience, excellent statistical
programming skills, and an ability to communicate and present results
both to other statisticians and scientists. She or he will be expected
to have some supervisory responsibility for the more junior post docs in
our group. Knowledge of genetics or type 1 diabetes is less important
than an interest in applying the innovative statistics we have found
necessary when dealing with data generated by rapidly developing
technologies, in order to answer questions of importance to biology and
health.
Senior Research Associate status may be available for suitable
candidates subject to Faculty Board approval.
Further information and an application form can be found at
https://www-gene.cimr.cam.ac.uk/jobs/statistician-2013-02-15.shtml
Informal enquiries may be addressed to Chris Wallace
<[log in to unmask]> or John Todd <[log in to unmask]>.
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========================================================================Date: Thu, 17 Jan 2013 11:18:26 +0000
Reply-To: Sarah Barker <[log in to unmask]>
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From: Sarah Barker <[log in to unmask]>
Subject: COURSES: Royal Statistical Society short course programme 2013
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Registration is now open for the following courses:
Latent Trait and Latent Class Analysis for Multigroup Data using MPlus and R, 11 & 12 February
presented by Jouni Kuha, Irini Moustaki and Sally Stares (London School of Economics)
Ideal for researchers interested in the use of cutting edge statistical methodology for analysing survey data from cross-sectional and for cross-national surveys.
Cost: £540-£708 depending on membership category
Introduction to Categorical Data Analysis, 20 & 21 August
presented by Alan Agresti and Maria Kateri
Introduces attendees to the most important methods for categorical data analysis, and in particular will show them that there’s a lot more that one can do than Pearson’s chi-squared test.
Cost: £519-£840 depending on registration date and membership category
Analytical Teams - building sustainable and productive relationships, 12 & 13 September
presented by Duncan Miles and Denis Greer
This participative programme is designed for those within the analytical professions who want to enhance the effectiveness of their relationships, consultations and interactions with colleagues and non-specialist client groups.
Cost: £519-£840 depending on registration date and membership category
Advanced Programming in R, 3 & 4 December
presented by Colin Gillespie
A 2 day intensive course on advanced aspects of R programming. Aimed at R users who do not have a formal background in computing. The course will be a mixture of lectures and computer practicals and will cover conditional programming structures, functional programming, S3 and S4 objects.
Cost: £378-£708 depending on registration date and membership category
For more information on these and other courses, please visit www.rss.org.uk/courses
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========================================================================Date: Thu, 17 Jan 2013 03:13:41 -0800
Reply-To: Oliver Bodhlyera <[log in to unmask]>
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From: Oliver Bodhlyera <[log in to unmask]>
Subject: R Package for Smooth Transition Regression
In-Reply-To: <[log in to unmask]>
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Hello everyone
Is anyone aware of an R or SAS package that can fit Smooth Transition Regression models.
Thank you in Advance
Oliver Bodhlyera
University of KwaZulu Natal
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========================================================================Date: Thu, 17 Jan 2013 12:04:53 +0000
Reply-To: James Ross <[log in to unmask]>
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From: James Ross <[log in to unmask]>
Subject: Research Associate - 2 year project - Leading Pharmaceutical
Company - Middlesex or Hertfordshire
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Dear Allstat,
We are currently recruiting on behalf of a leading, global pharmaceutical company for a Research Associate.
The successful candidate will likely possess a PhD in the areas of Genetic Epidemiology, Bioinformatics or Genomics and have an understanding of how to deal with complex biological data.
Candidates who have knowledge of metabolic diseases such as obesity and diabetes will be of particular interest.
The position will be working on a pharmaceutical-academic project funded by the EU. The overall goal is to set up a European Medical Information Network to support medical research.
If you would like to learn more please contact my colleague at [log in to unmask] Dear Allstat, We are currently recruiting on behalf of a leading, global pharmaceutical company for a Research Associate. The successful candidate will likely possess a PhD in the areas of Genetic Epidemiology, Bioinformatics or Genomics and have an understanding of how to deal with complex biological data. Candidates who have knowledge of metabolic diseases such as obesity and diabetes will be of particular interest. The position will be working on a pharmaceutical-academic project funded by the EU. The overall goal is to set up a European Medical Information Network to support medical research. If you would like to learn more please contact my colleague at [log in to unmask] Kind regards, James James Ross Volt Life Sciences Betchworth House, 57-65 Station Rd, Redhill, Surrey RH1 1DL, United Kingdom Dir: +44 1737 236808 | Tel: +44 1737 774100 | Mob: +44 7796 335822
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========================================================================Date: Thu, 17 Jan 2013 13:15:49 +0000
Reply-To: Sara Olson <[log in to unmask]>
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From: Sara Olson <[log in to unmask]>
Subject: JOB: Post-Doc in Input-Output Analysis and Trade Networks
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Post-Doc in Input-Output Analysis and Trade Networks at IMT Lucca
Deadline for applications - February 25th 2013, 12pm Italian time
IMT Lucca invites applications from strong candidates for a Post-Doctoral Fellow position in Input-Output Analysis and Trade Networks. The position will be financed in the context of FIRB - Programma Futuro in Ricerca 2012, within the project ViWaN - Virtual Water Networks, and will address these issues with an innovative and interdisciplinary approach, which will lead to the understanding of the main drivers and implications of the international virtual water flows. The main objectives are two: a better understanding of the global dynamics in virtual water flows via the international food trade network and the evaluation of the impact of such flows on food security. Other than a PhD in Economics or related field to be earned by the date of appointment, candidates should have a high degree of proficiency in the use of mathematical and statistical methods. See http://www.imtlucca.it/faculty/positions/junior_faculty_recruitment_program.php#io-analysis-trade_pd for further details.
The appointed candidate will join the LIME - Laboratory of Innovation Management and Economics (http://lime.imtlucca.it/) Research Unit.
The position is for three years. Remuneration packages are competitive at the international level and include generous research funds; additional benefits may be negotiated with selected applicants.
Successful candidates will work closely with other young researchers, senior researchers and graduate students, and will have a limited teaching load in the School's graduate program (e.g. one or two classes per year). IMT believes that faculty and staff diversity contributes to excellence and is an equal-opportunity employer. Additional information about IMT may be found at www.imtlucca.it.
The deadline to submit your online application is February 25th 2013, 12 PM Italian time.
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========================================================================Date: Thu, 17 Jan 2013 13:20:30 +0000
Reply-To: Guy Nason <[log in to unmask]>
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From: Guy Nason <[log in to unmask]>
Subject: JOB: Brunel Fellowship in Statistics
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Statistics Group, School of Mathematics, University of Bristol
Brunel Postdoctoral Fellowship in Statistics
Applications are invited for a Brunel Postdoctoral Fellowship in
Statistics, tenable from 1 August 2013(or a date to be agreed) until 31
July 2015. The Fellowships is funded by a multi-million pound
grant aimed at supporting an ambitious research programme to support
"Statistics underpinning Science, Technology and Industry" (SuSTaIn).
You will be expected to undertake a programme of self-directed research
in any branch of Statistics as part of a Statistics Group with an
outstanding international reputation for research, as confirmed by
excellent results in the 2008 Research Assessment Exercise (RAE). The
School 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.
Salary: £34,223 p.a.
Closing date for applications: 9:00am 5 April 2013.
See http://www.bristol.ac.uk/jobs/ using reference number ACAD100179
for further information or alternatively via SuSTaIn website:
http://www.sustain.bris.ac.uk/jobs.html
to locate the advertisement directly.
--
Professor Guy Nason tel: +44 (0)117 331 8411
School of Mathematics fax: +44 (0)117 928 7999
University of Bristol
Bristol BS8 1TW, UK http://www.stats.bris.ac.uk/~guy
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========================================================================Date: Thu, 17 Jan 2013 14:48:03 +0000
Reply-To: Chintu Desai <[log in to unmask]>
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From: Chintu Desai <[log in to unmask]>
Subject: Exploratory and Early Phase Biostatisticians/Statistical
Analysts, office or home based, UK
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Please reply to the details below, rather than to me
Cheers
Chintu
--------------------------------------------------------------------------------------------------------------------------------------------------------
Dear All Stat
Pharmanet|i3 are currently looking for two new members to join their Biostatistics team, one role will require a candidate with previous experience. The other could be suitable for a recent graduate who may have gained some experience during an internship or from contract work.
Working in partnership with our client Boehringer Ingelheim, this unique role plays a key part in the continual support of one of our Functional Strategic Partnerships. As such we are able to offer all the advantages of working for a top-five CRO combined with the benefits of operating as an integrated member of a multi-functional client-specific clinical team.
You will be responsible for:
• Contributing to formal Statistical Analysis Plans.
• Performing statistical analyses of data and interpreting results to ensure validity of conclusions.
• Interaction with Data Management personnel as necessary to ensure that datasets are in usable format; performing statistical diagnostics prior to database locking.
• Developing SAS programs as assigned, for current clinical studies.
• Interaction with medical writers in production of statistical and integrated clinical/statistical reports and other documents containing statistical information.
• Interaction with other departments, such as Clinical Operations and Project Management, to ensure a high level of client satisfaction through successful execution of projects.
And be able to meet the following requirements:
• A Bachelors degree, preferably a Masters, in statistics
• The ability to make a positive contribution within a team-oriented environment.
• Strong SAS programming skills in dataset preparation, data presentation and inferential analyses
• Be able to perform statistical analysis of clinical data:
o From early phase clinical trials with quick turnover
o In a data-driven, exploratory environment without needing detailed specifications
• Ability to read, analyse, and interpret common scientific and technical journals.
In return you can expect:
• The flexibility to be home, office or part home/office based.
• A competitive remuneration package with excellent benefits including, free parking, healthcare, pension, annual performance bonus and more.
• A commitment to your development and training, with the opportunity to progress your career within a market leading and innovative organisation.
• The opportunity to work within a successful and rewarding environment.
If you would like to apply or for an informal chat in the first instance please contact Frances Well on +44 (0) 1628 408444 or email [log in to unmask]
Frances Wells
Senior Recruiter, EMEA
Please note new e-mail address [log in to unmask]
Star House, 20 Grenfell Road, Maidenhead, Berkshire, SL6 1EH, UK
P: +44(0)1628 408444 M: +44(0)7891 182660
[log in to unmask] | www.pharmanet-i3.com
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========================================================================Date: Thu, 17 Jan 2013 16:15:27 +0000
Reply-To: Laura Bonnett <[log in to unmask]>
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From: Laura Bonnett <[log in to unmask]>
Subject: Meeting: Statistics from the Census
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Joint meeting between RSS Merseyside Local Group & The Health and Safety Executive (HSE)
6th February 2013, 17.00 Lower Peter Jost Conference Room, Liverpool John Moores University, Byrom Street
Statistics from the Census
The RSS Merseyside Local Group & The Health and Safety Executive (HSE) jointly welcome Emma White from the Office for National Statistics (ONS) who will present an overview of the data from the latest Census and compare the North West region to the rest of the country.
Emma is Head of Policy and Analysis for the 2011 Census outputs at ONS and has presented widely including the recent RSS annual conference.
The event will provide you with an understanding of how the North West region compares to the rest of the country and what changes have occurred since the last Census was conducted in 2001. This presentation will be of interest to anyone involved in Policy or Analysis work or of general interest to anyone living in the North West region.
The presentation will commence at 5pm and everyone is welcome. Wine and juice etc. will follow.
To register your interest go to https://sites.google.com/site/rssmerseyside/research-meetings/census/registration
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========================================================================Date: Thu, 17 Jan 2013 16:40:34 +0000
Reply-To: Chetna Kerai <[log in to unmask]>
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From: Chetna Kerai <[log in to unmask]>
Subject: Job vacancy: Statistician -
=?UTF-8?Q?£25k-£40k_?=(depending on skills and
experience)
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Statistician
Location: EC1V, London
Salary: £25,000-£40,000 (depending on skills and experience)
Department: Research
About the post
NatCen Social Research is looking to recruit a Statistician to work on the design and analysis of social surveys. The role involves sampling, weighting, methodological experimentation and general survey design. There would also be opportunities for the successful applicant to be involved in secondary analysis and teaching.
Candidates for the post would be expected to have a degree in statistics, social statistics or a closely related discipline and/or Chartered Statistician status. Candidates would also be expected to be familiar with SPSS, Stata or a similar statistical package. The post will be at the Statistician or Senior Statistician level, depending on experience.
The successful candidate will join a team of five Statisticians at NatCen, and will be based at our offices in London EC1.
If you believe you have the experience and qualities we are looking for then we'd love to hear from you.
About NatCen Social Research
NatCen Social Research is Britain’s leading independent research institute. We believe that social research has the power to make life better. By really understanding the complexity of people’s lives and what they think about the issues that affect them, we give the public a powerful and influential role in shaping decisions and services that can make a difference to everyone. Our research covers all areas of social policy, and our findings have direct and practical policy relevance. As an independent, not for profit organisation, we’re able to focus our time and energy on meeting clients’ needs and delivering social research that works for society.
We offer favourable working conditions (including generous holiday entitlement, a pension scheme and every other Friday off) and a stimulating, hardworking and friendly working environment.
How to apply
For further details on how to apply, please visit our website:
http://www.natcen.ac.uk/about-us/job-opportunities/statistician-(1)
If you have any queries please contact HR on 020 7549 8526.
For an informal conversation about the role please contact Kevin Pickering, Head of Statistics on 020 7549 7068.
The closing date for receipt of completed applications is 10am on Thursday 7th February 2013.
Interviews will take place on 14th/15th February 2013.
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========================================================================Date: Thu, 17 Jan 2013 16:48:59 +0000
Reply-To: Dr Sujit Sahu <[log in to unmask]>
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From: Dr Sujit Sahu <[log in to unmask]>
Subject: Announce: Post-graduate Open Day and PhD Studentships available
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The University of Southampton, UK, is holding an open day to give prospective postgraduate students an opportunity to visit the University, and hear presentations on current research and possible PhD projects in all areas of the Mathematical Sciences, including Statistics.
The open day will be Wednesday 30 January 2013.
The Statistics group is part of Southampton Statistical Sciences Research Institute (S3RI), one of the largest groups of academic Statisticians in the UK. The focus of the Institute is methodological research and substantive applications, with many projects joint with other sciences, engineering and industry. See http://www.southampton.ac.uk/s3ri/ for more information.
PhD topics are available in the areas of Statistical Modelling, Design and Analysis of Experiments, and Biostatistics.
Funding is available from a variety of sources, including the Doctoral Training Account, Doctoral Training Centres (DTC), and School scholarships. Overseas students may be eligible for industrial DTC and School scholarships.
The programme for the day is:
11:30 Registration
12:00 Welcome talk
12:15 Postgraduate Study at Southampton
12:40 Postgraduate Careers at Southampton
12:00-14:30 Research Showcase at the Students’ Union
14:00-16:00 Mathematics and Statistics related events
Travel expenses (e.g. standard rail fare or similar) will be reimbursed.
For more details, see
http://www.southampton.ac.uk/postgraduate/postgraduate_open_day.html
Registration, through this website, is required.
If you are interested in our PhD programme but cannot attend the open-day event please feel free to send an email to Dr Sujit Sahu ([log in to unmask]).
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========================================================================Date: Thu, 17 Jan 2013 17:33:02 +0000
Reply-To: Emma Jones <[log in to unmask]>
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From: Emma Jones <[log in to unmask]>
Subject: CONFERENCE: PSI 1-Day Scientific Meeting: The Design and Analysis
of Observational Studies
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*The Design and Analysis of Observational Studies*
*Wednesday 27th February 2013, 9am - 5pm, London*
Statisticians are being expected to get more involved in areas outside
their traditional roles in clinical development. Observational data is
becoming increasingly important throughout the development process, and not
just after product launch. Traditional post-authorisation safety studies
will also present more challenges ahead as the type and size of data sets
expands rapidly.
Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day
scientific meeting which, with industry and regulatory speakers, will bring
together methodology and case studies to illustrate these challenges and
potential solutions to them. This 1–day meeting is a must for those
looking to learn more about this exciting area. Further updates to the
programme will be forthcoming.
The meeting will start at 9am and is now confirmed to be held at the RSS in
London, finishing at 5pm. The fee is £100 for PSI members and £140 for
non-members before the 23rd January or £140 for PSI members and £200 for
non-members thereafter. A reduced fee of £40 (or £70 after 23rd January) is
available to academics.
The full agenda can be found at
http://www.psiweb.org/docs/observationalstudiesflyer.doc
Registrations can be made via the PSI web site at http://www.psiweb.org.
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The Design and Analysis of Observational Studies Wednesday 27th February 2013, 9am - 5pm, London Statisticians are being expected to get more involved in areas outside their traditional roles in clinical development. Observational data is becoming increasingly important throughout the development process, and not just after product launch. Traditional post-authorisation safety studies will also present more challenges ahead as the type and size of data sets expands rapidly. Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day scientific meeting which, with industry and regulatory speakers, will bring together methodology and case studies to illustrate these challenges and potential solutions to them. This 1–day meeting is a must for those looking to learn more about this exciting area. Further updates to the programme will be forthcoming. The meeting will start at 9am and is now confirmed to be held at the RSS in London, finishing at 5pm. The fee is £100 for PSI members and £140 for non-members before the 23rd January or £140 for PSI members and £200 for non-members thereafter. A reduced fee of £40 (or £70 after 23rd January) is available to academics. The full agenda can be found at http://www.psiweb.org/docs/observationalstudiesflyer.doc Registrations can be made via the PSI web site at http://www.psiweb.org.
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========================================================================Date: Fri, 18 Jan 2013 05:57:15 +0000
Reply-To: Vincent Granville <[log in to unmask]>
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From: Vincent Granville <[log in to unmask]>
Subject: Boeing's Dreamliner: a nightmare due to bad analytics
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The problems with this plane, which forced FAA to ground all of them today in US, is its new type of lithium-ion battery made in Japan, and never used in a plane before. This type of powerful battery is overheating easily, catches fire etc. resulting in a number of emergency landings over a short period of time.
Now I have a few questions:
1) Aren't these batteries (like pretty much any product that you can purchase, such as car or laptop battery) going through extensive quality control testing, using sound statistical techniques to make sure that faulty batteries, or risk of failure over the lifetime of the product, is below an acceptable threshold, say below 0.001%?
Read all my questions at http://www.analyticbridge.com/forum/topics/boeing-s-dreamliner-turns-into-a-nightmare-due-to-bad-analytics
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========================================================================Date: Fri, 18 Jan 2013 06:43:41 +0000
Reply-To: Steve Messenger <[log in to unmask]>
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From: Steve Messenger <[log in to unmask]>
Subject: Re: Boeing's Dreamliner: a nightmare due to bad analytics
Comments: To: Vincent Granville <[log in to unmask]>
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Whilst this may be true, there are millions of components used in building an aircraft. If the tolerance of each component is not set low enough, the cumulative risk across all the set of components could reach a level that people become uncomfortable with.
My understanding is that other measures were stipulated by the FAA to be put in place to offset the known higher risk from using these components.
Those measures seem to have 'worked' because they have managed to deplane everyone safely so far.
However, this 'risk management' approach to building a plane is obviously not an ideal way of working.
Steve
Sent from my iPhone
On 18 Jan 2013, at 05:57, Vincent Granville <[log in to unmask]> wrote:
The problems with this plane, which forced FAA to ground all of them today in US, is its new type of lithium-ion battery made in Japan, and never used in a plane before. This type of powerful battery is overheating easily, catches fire etc. resulting in a number of emergency landings over a short period of time.
Now I have a few questions:
1) Aren't these batteries (like pretty much any product that you can purchase, such as car or laptop battery) going through extensive quality control testing, using sound statistical techniques to make sure that faulty batteries, or risk of failure over the lifetime of the product, is below an acceptable threshold, say below 0.001%?
Read all my questions at http://www.analyticbridge.com/forum/topics/boeing-s-dreamliner-turns-into-a-nightmare-due-to-bad-analytics
You may leave the list at any time by sending the command
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========================================================================Date: Fri, 18 Jan 2013 09:40:45 +0000
Reply-To: "Neal, Peter" <[log in to unmask]>
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From: "Neal, Peter" <[log in to unmask]>
Subject: PhD studentships (Lancaster University)
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Applications are invited for PhD studentships in the Department of Mathematics and Statistics at Lancaster University (UK).
We currently have a number of PhD studentships available in Statistics. All studentships pay full UK/EU tuition fees plus a maintenance stipend of a minimum £13,590 per annum (tax free). We welcome applications from UK/EU and non-EU applicants with eligibility criteria applying to some studentships. The deadline for COMPLETED applications
(including letters of reference) is 4 February, 2013. (PhD applications received after 4 February will be considered for future PhD studentships.)
As one of the UK's most successful statistics groups, the department contains a broad range of interests including Applied Probability, Bayesian and Computational Statistics, Time Series and Extremes, Social Statistics, Medical and Pharmaceutical Statistics. We welcome applications in any of these areas.
The department provides a thriving research environment, with well over 30 PhD students within Statistics and Probability. It runs an extensive range of postgraduate level courses; it is also a founder member of the UK's Academy for PhD Training in Statistics (APTS) and has the UK's only doctoral training centre, Stor-i specialising in
Statistics and Operational Research.
For more information, please feel free to contact Dr Peter Neal ([log in to unmask]
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========================================================================Date: Fri, 18 Jan 2013 10:36:20 +0000
Reply-To: Gary Walker <[log in to unmask]>
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From: Gary Walker <[log in to unmask]>
Subject: Bias reduced generalised linear MIXED models...
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Hi,
Consider fitting a generalised linear model to a binary response with group fitted as a factor. Suppose further than group has 4 levels but the response is
either all zeros or all ones for some of the levels...
For this (albeit simplified) case, the group kindly pointed me in the direction of the function brglm in R, which has worked really well.
However, brglm doesn't allow random effect terms to be included in the model.
Is anyone out there developing a bias reduced generalised linear mixed effects regression model (brglmer)?
Kind regards,
Gary Walker.
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========================================================================Date: Fri, 18 Jan 2013 11:19:37 +0000
Reply-To: "Lucas, Ricardo" <[log in to unmask]>
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From: "Lucas, Ricardo" <[log in to unmask]>
Subject: JOB: SAS Programming Contract- 9 Months
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========================================================================Date: Fri, 18 Jan 2013 11:41:59 +0000
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Subject: JOBS: New job listings on StatsJobs.com
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Visit statsJobs.com to view full details on the latest job listings which are summarised below.
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Senior Lecturer / Associate Professor in Biostatistics | University of Otago | NZ
Applications are invited for a full-time appointment in biostatistics in the Department of Preventive and Social Medicine, Dunedin School of Medicine. This is a confirmation path position at Senior Lecturer or Associate Professor level depending on qualifications and experience. Situated in the Department of Preventive and Social Medicine, this position is supported by the Division ...
Full or Associate position in Statistics/Econometrics | Dpt of Economics, University of Cergy-Pontoise
The Department of Economics and Business at the University of Cergy-Pontoise together with the Labex MME-DII invites applications for a position in Econometrics or Theoretical Microeconomics at the level of Full or Associate professor. JOB Applications are invited in all fields of Econometrics or Theoretical Microeconomics. Applicants must hold a Ph.D. or doctorate degree ...
Senior Statistician | Baxter | Round Lake, IL
Responsible for the design, development, and execution of quality, engineering and manufacturing projects. Translating project goals into experimental designs and statistical analyses plans. Perform statistical analyses using applicable software and methodology. Report results to clients via presentations and written reports in compliance with regulatory requirements. Essential Duties and Responsibilities: This section contains a list of ...
Brunel Fellowship in Statistics | University of Bristol
Applications are invited for a Brunel Postdoctoral Fellowship in Statistics, tenable from 1st August 2013 (or a date to be agreed) until 31st July 2015. The fellowship is part of a multi-million pound grant aimed at supporting an ambitious research programme to support “Statistics underpinning Science, Technology and Industry†(SuSTaIn)’’. The successful candidate will be ...
University Lecturer in Statistics | University of Oxford
The Department of Statistics proposes to appoint a University Lecturer in Statistics from 1 April 2013 or as soon as possible thereafter. The successful candidate will work at the Department of Statistics and will be offered a Tutorial Fellowship at Magdalen College under arrangements described in the further particulars. The combined University and College salary ...
Lecturer in Statistics | The London School of Economics and Political Science
Applications are invited from outstanding candidates in the field of statistics and/or probability. You will join an established and successful department. The post is tenable from 1st September 2013, or shortly after. You should have an established track record of research at a level of international excellence (and/or a track record of journal publications), as ...
Research Assistant in Medical Statistics | University of Cambridge
The posted is funded for 2 years in the first instance, with likely extension thereafter. The successful candidate will work on the analysis of a prospective cohort study which has completed recruitment (July 2012) and will have completed all data collection by Spring 2013. A total of 4,544 women with first pregnancies have been recruited. ...
Research Fellow – Medical Statistics | University of Exeter
This exciting new three-year position in medical statistics is to be an integral part of the University’s new Biomedical Informatics Hub team, funded by a recent Wellcome Trust Institutional Strategic Support Fund award (www.exeter.ac.uk/biomedicalhub). The Hub is providing expert informatics support to a range of emerging technologies, supporting multiple research areas and teams across the University ...
Lectureships in Probability or Statistics | University of Bristol
The University of Bristol seeks outstanding candidates for one or more Lectureships (corresponding roughly to Assistant/Associate Professor in the North American terminology) in the areas of Probability or Statistics. The successful candidates will become members of the Probability and Statistics Group within the School of Mathematics. Candidates will be expected to have demonstrated outstanding research ...
Associate Principal Statistician | AstraZeneca | Alderley Park, Cheshire
Provide technical leadership within a statistical area (e.g. high dimensional data, PK/PD modelling), and/or statistical delivery leadership within a business area (i.e. a site/iMed/GSA or a defined area of business need requiring specialist statistical expertise e.g. Personalised Healthcare and Biomarkers). Description: Act as a key statistical contact for a business or statistical area and take ...
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========================================================================Date: Fri, 18 Jan 2013 12:52:59 +0000
Reply-To: "Kahraman, Emel" <[log in to unmask]>
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From: "Kahraman, Emel" <[log in to unmask]>
Subject: **Hays Life sciences - Multiple BIOMETRIC ROLES - Swiss **
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========================================================================Date: Fri, 18 Jan 2013 12:57:25 +0000
Reply-To: "Kahraman, Emel" <[log in to unmask]>
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From: "Kahraman, Emel" <[log in to unmask]>
Subject: **Hays Life sciences-- Director of Exploratory Statistics -
Benelux**
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========================================================================Date: Fri, 18 Jan 2013 13:53:52 +0000
Reply-To: "Lucas, Ricardo" <[log in to unmask]>
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From: "Lucas, Ricardo" <[log in to unmask]>
Subject: JOB: Director of Statistics.
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========================================================================Date: Fri, 18 Jan 2013 13:56:17 +0000
Reply-To: Mylene Paumier <[log in to unmask]>
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<[log in to unmask]>
From: Mylene Paumier <[log in to unmask]>
Subject: CK Clinical - Statistical Programmer
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Dear AllStat,
CK Clinical is recruiting for a Statistical Programmer to join an International CRO at their site based in Brussels on a contract basis.
As Statistical Programmer, your responsibilities will include the following:
- Co-ordinate the creation of analysis dataset specifications in the ADaM standard, if needed.
- Co-ordinate the programming of analysis datasets, using specific SAS macros.
- Co-ordinate the creation of the metadata files (define.xml) using specific SAS macros.
- Ensuring traceability between SDTM and ADaM data.
- Co-ordinate the production of tables, listings & figures
- Co-ordinate the restructuring, review and integration of external data
- Co-ordinate the transfer of data according to customer specific requirements.
- Develop adequately documented programs for the generation of randomisation schema/program.
- Set & maintain professional programming standards.
- Maintain & archive program documentation - both electronic & paper - in an appropriate manner.
- Maintain awareness of current features & new developments in SAS.
- Maintain professional programming standards.
As Statistical Programmer, you will have the following qualifications, skills and experience:
- Relevant clinical trial SAS experience or a STID diploma and a SAS certification Base at least.
- Proficient SAS programming skills with mastery of SAS/STAT SAS/BASE, SAS macro language. SAS/GRAPH is a nice to have
- Capacity to interface with clinicians, statisticians and data managers as statistical programmer in charge of a clinical trial
- Capacity to work independently or under the guidance of a senior MSD programmer
- Ability to work complying to the company programming SOPs, data standards and macro library as well as capacity to develop project specific code independently under company SOPs
For more information or to apply for this Statistical Programmer position, please contact Mylene Paumier on +44 (0)207 470 5672 Dear AllStat, CK Clinical is recruiting for a Statistical Programmer to join an International CRO at their site based in Brussels on a contract basis. As
Statistical Programmer, your responsibilities will include the following: - Co-ordinate the creation of analysis dataset specifications in the ADaM standard, if needed. - Co-ordinate the programming of analysis datasets, using specific SAS macros. - Co-ordinate the creation of the metadata files (define.xml) using specific SAS macros. - Ensuring traceability between SDTM and ADaM data. - Co-ordinate the production of tables, listings & figures - Co-ordinate the restructuring, review and integration of external data - Co-ordinate the transfer of data according to customer specific requirements. - Develop adequately documented programs for the generation of randomisation schema/program. - Set & maintain professional programming standards. - Maintain & archive program documentation - both electronic & paper - in an appropriate manner. - Maintain awareness of current features & new developments in SAS. - Maintain professional programming standards. As
Statistical Programmer, you will have the following qualifications, skills and experience: - Relevant clinical trial SAS experience or a STID diploma and a SAS certification Base at least. - Proficient SAS programming skills with mastery of SAS/STAT SAS/BASE, SAS macro language. SAS/GRAPH is a nice to have - Capacity to interface with clinicians, statisticians and data managers as statistical programmer in charge of a clinical trial - Capacity to work independently or under the guidance of a senior MSD programmer
- Ability to work complying to the company programming SOPs, data standards and macro library as well as capacity to develop project specific
code independently under company SOPs For more information or to apply for this Statistical Programmer position, please contact Mylene Paumier on
+44 (0)207 470 5672 or email:
[log in to unmask]" target="_blank">[log in to unmask].
Best regards, Mylene Mylene Paumier European Recruitment Consultant CK Clinical Limited Crown House 72, Hammersmith Road London W14 8TH DD: +44 (0)207 470 5672 Tel: +44 (0)207 470 5670 CK Clinical, CK IT, CK Regulatory and CK Science are trade names of CK Associates Limited Registered in England No 2611749 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).
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
--_000_3881B5C744676049AFE62073CC1567FE0A09FA31CKASBS2011CKAlo_--
========================================================================Date: Fri, 18 Jan 2013 16:56:11 +0000
Reply-To: Matthias Troffaes <[log in to unmask]>
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From: Matthias Troffaes <[log in to unmask]>
Subject: Workshop: SIMRIDE 2013 - 2nd Announcement
Comments: cc: Grant Ingram <[log in to unmask]>
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---1320627598-1778791112-1358587165=:94948--
========================================================================Date: Mon, 21 Jan 2013 11:22:11 +1300
Reply-To: Nicola Petty <[log in to unmask]>
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From: Nicola Petty <[log in to unmask]>
Organization: Creative Heuristics Ltd
Subject: BLOG: Subject choice in NZ
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Hi all
I hope you aren't all freezing in the snow. Expecting 26 degrees here
(Celsius).
This blog is probably obvious to you, but may help you promote statistics to
maths teachers.
http://learnandteachstatistics.wordpress.com/2013/01/21/stats-or-calc/
Nicola
Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901
_____
See my blog: Learn and Teach Statistics and Operations Research
Hi all I hope you aren’t all freezing in the snow. Expecting 26 degrees here (Celsius). This blog is probably obvious to you, but may help you promote statistics to maths teachers. http://learnandteachstatistics.wordpress.com/2013/01/21/stats-or-calc/ Nicola See my blog: Learn and Teach Statistics and Operations Research
SIGNOFF allstat
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========================================================================Date: Mon, 21 Jan 2013 09:17:04 +0000
Reply-To: "Lee, Adrian" <[log in to unmask]>
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From: "Lee, Adrian" <[log in to unmask]>
Subject: JOB: Director of Exploratory Statistics
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========================================================================Date: Mon, 21 Jan 2013 10:23:58 +0000
Reply-To: Jennie McKenzie <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: Jennie McKenzie <[log in to unmask]>
Subject: JOB: Postdoctoral Research Assistant - Univ Oxford - Dept of
Statistics
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University of Oxford - Department of Statistics
Two Postdoctoral Research Assistants
Fixed term contract for 2 years
Project: "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo"
We invite applications for two EPSRC-funded postdoctoral research position to work on the project "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo". The posts will be supervised by Profs Yee Whye Teh and Arnaud Doucet in the Statistics Department, and form part of a joint project with Professor Christophe Andrieu (Mathematics, Bristol University). Both are a 2-year fixed term positions and have flexible start dates between 1st March 2013 and 1st March 2014.
Candidates should have completed, or be soon to complete, a doctorate in Statistics, Machine Learning, Computer Science or affiliated areas. Experience in the areas of Monte Carlo methods, computational statistics, or large scale probabilistic inference are essential. The posts are available for 2 years, have a salary on the University grade 7 scale (currently £29,249 to £39,257), includes membership of the University pension scheme and have an annual leave entitlement of 38 days per year (inclusive of all public holidays and university closed periods). Requests to work on a part time or flexible basis will be considered.
Applications for this vacancy are to be made online. You will need to upload a supporting statement, Curriculum Vitae including list of publications, statement of research interests and details of two referees, who should send their references by the closing date.
To apply for this role and for further details, including a job description and selection criteria, please visit:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=106059
Only applications received before 12 noon (UK time), Friday 8th February 2013 will be considered. Interviews will take place in the week beginning 4th March 2013.
Committed to equality and valuing diversity.
Oxford University is an Equal Opportunities Employer.
Jennie McKenzie
Administrator
Dept of Statistics
University of Oxford
1 South Parks Road
Oxford OX1 3TG
Tel: 01865 272869
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University of Oxford – Department of Statistics
Two Postdoctoral Research Assistants
Fixed term contract for 2 years
Project: "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo”
We invite applications for two EPSRC-funded postdoctoral research position to work on the project "Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo”. The posts will be supervised
by Profs Yee Whye Teh and Arnaud Doucet in the Statistics Department, and form part of a joint project with Professor Christophe Andrieu (Mathematics, Bristol University). Both are a 2-year fixed term positions and have flexible start dates between 1st March
2013 and 1st March 2014.
Candidates should have completed, or be soon to complete, a doctorate in Statistics, Machine Learning, Computer Science or affiliated areas. Experience in the areas of Monte Carlo methods, computational statistics,
or large scale probabilistic inference are essential. The posts are available for 2 years, have a salary on the University grade 7 scale (currently £29,249 to £39,257), includes membership of the University pension scheme and have an annual leave entitlement
of 38 days per year (inclusive of all public holidays and university closed periods). Requests to work on a part time or flexible basis will be considered.
Applications for this vacancy are to be made online. You will need to upload a supporting statement, Curriculum Vitae including list of publications, statement of research interests and details of two referees,
who should send their references by the closing date.
To apply for this role and for further details, including a job description and selection criteria, please visit:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=106059
Only applications received before 12 noon (UK time),
Friday 8th February 2013 will be considered. Interviews will take place in the week beginning 4th March 2013.
Committed to equality and valuing diversity.
Oxford University is an Equal Opportunities Employer. Jennie McKenzie Administrator Dept of Statistics University of Oxford 1 South Parks Road Oxford OX1 3TG Tel: 01865 272869
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========================================================================Date: Mon, 21 Jan 2013 10:29:26 +0000
Reply-To: Simon Wilson <[log in to unmask]>
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From: Simon Wilson <[log in to unmask]>
Subject: CONFERENCE: call for abstracts for GDRR 2013
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Dear allstat,
The third Symposium on Games and Decisions in Risk and Reliability is being held in Kinsale, Co. Cork, Ireland from 8th to 10th July 2013.
The conference website is now open for the submission of abstracts for contributed papers. The deadline for abstract submission is 28th February 2013.
If you wish to submit an abstract then please go the conference website at
https://www.cs.tcd.ie/disciplines/statistics/statica/statica_web/GDRR13/GDRR13.html
and follow the abstract submission link.
Regards,
Simon Wilson (local programme chair)
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========================================================================Date: Mon, 21 Jan 2013 11:09:00 -0000
Reply-To: Stewart Ellison <[log in to unmask]>
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From: Stewart Ellison <[log in to unmask]>
Subject: PHASTAR: Clinical trial statistical programmer
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Looking to challenge yourself in a technical programming role supporting a
top 10 pharma client in 2013?
PHASTAR is looking to recruit a senior clinical trial programmer with at
least three years industry experience programming in SAS (ideally some R
experience too). If successful in this role, you will be responsible for
programming and QC of TFL's and datasets, and will be supporting phase III
trials and integrated global submissions. In addition, you will be engaged
in converting SDTM and AdaM datasets into CDISC, so experience in this field
is preferable.
- Advance your career in intellectually-stimulating, dynamic, supportive
environment
- Variety of challenging projects with large, reputable pharma companies
- Excellent remuneration (competitive salary, pension, healthcare, and
training)
- Actively contribute to PHASTAR research for journals and presentations
- Company owned and run by statisticians and programmers (mentoring
programme in place)
- All applicants will be contacted within three working days
PHASTAR has built a reputation within top ten pharma companies as a leader
in the provision of high quality clinical trial statistics and programming
services. We understand the importance of developing great people to ensure
this reputation for quality continues to grow. You will be mentored by
managers with substantial hands-on industry experience in a range of
therapeutic areas. You are required to have at least three years SAS
programming experience and relevant qualifications. You should possess
effective communication skills, and be confident liaising with clients.
Contact Stewart confidentially: Looking to challenge yourself in a technical programming role supporting a top 10 pharma client in 2013? PHASTAR is looking to recruit a senior clinical trial programmer with at least three years industry experience programming in SAS (ideally some R experience too). If successful in this role, you will be responsible for programming and QC of TFL’s and datasets, and will be supporting phase III trials and integrated global submissions. In addition, you will be engaged in converting SDTM and AdaM datasets into CDISC, so experience in this field is preferable… - Advance your career in intellectually-stimulating, dynamic, supportive environment - Variety of challenging projects with large, reputable pharma companies - Excellent remuneration (competitive salary, pension, healthcare, and training) - Actively contribute to PHASTAR research for journals and presentations - Company owned and run by statisticians and programmers (mentoring programme in place) - All applicants will be contacted within three working days PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. We understand the importance of developing great people to ensure this reputation for quality continues to grow. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You are required to have at least three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients. Contact Stewart confidentially: [log in to unmask] or call 0207 183 7062
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========================================================================Date: Mon, 21 Jan 2013 12:27:27 +0000
Reply-To: "Gordon, Fabiana" <[log in to unmask]>
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From: "Gordon, Fabiana" <[log in to unmask]>
Subject: Intermediate Statistics Using SPSS course at Imperial College
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Dear allstat,
There are still few places available in the course below.
Intermediate Statistics Using SPSS
* Tue 22 & Wed 23 January 2013 (10.00-17.00)
Regards,
Fabiana
Dr Fabiana Gordon
Senior Statistical Consultant
Statistical Advisory Service
Imperial College London
South Kensington Campus
12th Floor, Electrical Engineering Building
London SW7 2AZ.
Tel: 020 7594 3339
Fax: 020 7594 1489
Email: [log in to unmask]
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========================================================================Date: Mon, 21 Jan 2013 13:16:28 +0000
Reply-To: Marie Jansson <[log in to unmask]>
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From: Marie Jansson <[log in to unmask]>
Subject: Subject: Nordic-Baltic Biometric Conference, June 10-12th,
in Stockholm - call for papers
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Subject: Nordic-Baltic Biometric Conference, June 10-12th, in Stockholm - call for papers
The Nordic-Baltic Region of the International Biometric Society invites you to the 4th Nordic-Baltic Biometric Conference, NBBC13, June 10-12th, to be held in Stockholm, Sweden. We welcome the submission of abstracts for oral and poster presentations on any topic of interest to members of the International Biometric Society. Details can be found at http://nbbc13.org Subject: Nordic-Baltic Biometric
Conference, June 10-12th, in Stockholm - call for papers
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========================================================================Date: Mon, 21 Jan 2013 08:25:47 -0500
Reply-To: Geoffrey Hubona <[log in to unmask]>
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From: Geoffrey Hubona <[log in to unmask]>
Subject: 16 R COURSES ONLINE 24/7: $120 Students; $150 Non-students TOTAL
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16 R COURSES ONLINE 24/7: $120 Students TOTAL; $150 Non-students TOTAL, for
all courses (and not 'per' course).
Non-profit Georgia R School. Until Feb 16 Only.
Take from now until Dec 31 to take all courses, available 24/7, includes
exercises, data sets, R scripts, everything provided, including access to
the instructor.
You will find that 11 months is not enough time !
More info at http://www.georgia-r-school.org/R-Courses.html
Email questions to [log in to unmask]
Geoff Hubona
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16 R COURSES ONLINE 24/7: $120 Students TOTAL; $150 Non-students TOTAL, for all courses (and not 'per' course). Geoff Hubona
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========================================================================Date: Mon, 21 Jan 2013 14:38:13 +0000
Reply-To: David Harrison <[log in to unmask]>
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From: David Harrison <[log in to unmask]>
Subject: JOB: Statistical Research Assistant, Central London
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Statistical Research Assistant
High Holborn, Central London
Do you want to influence national and local policy on critical care?
Do you want to work with the largest high quality, clinical database of critically ill patients in the UK?
Do you want to provide statistical advice on, and have practical input into, a host of methodological and evaluative research studies in critical care?
If so, please join us at ICNARC…
…ICNARC was set up in 1994, as an independent charity (registered: 1039417) to facilitate improvements in the organisation and practice of adult critical care across the UK. Underpinning all of ICNARC’s work is a national, comparative audit of patient outcome which has led to the development of a high quality, clinical database of critically ill patients (currently 1,295,344 admissions to 270 critical care units). This audit is called the Case Mix Programme. ICNARC has built on this resource to establish a National Audit Programme and a fully registered Clinical Trials Unit (supporting a broad range of externally funded research, including randomised controlled trials and observational (cohort) studies).
ICNARC requires a Statistical Research Assistant (c£26,000) to assist in the provision of statistical services within the Centre. You must have a minimum qualification of a BSc in mathematics, statistics, or related discipline to apply.
For further information, please visit https://www.icnarc.org.
Closing date: 8 February 2013
Interview date: 22 February 2013
______________________________________________________________________
This email has been scanned by the Symantec Email Security.cloud service.
For more information please visit http://www.symanteccloud.com
______________________________________________________________________
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========================================================================Date: Mon, 21 Jan 2013 16:14:45 +0000
Reply-To: "Hampson, Lisa" <[log in to unmask]>
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From: "Hampson, Lisa" <[log in to unmask]>
Subject: Reminder: RSS Lancashire local group seminar -- Thursday 24th
January
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Dear Allstat list members,
A reminder that the next meeting of the RSS Lancashire local group will take place 4 - 5pm on Thursday 24th January at Lancaster University (Fylde Lecture Theatre 1, Fylde College).
For our seminar, we are pleased to welcome Andrew Golightly from Newcastle University. The seminar will be followed by a wine reception in the Postgraduate Statistics Centre.
We look forward to seeing you here in Lancaster. There is no need to register, but if you have any queries please contact Matt Nunes ([log in to unmask] Dear Allstat list members, A reminder that the
next meeting of the RSS Lancashire local group will take place 4 - 5pm on Thursday 24th January at Lancaster University (Fylde Lecture Theatre 1, Fylde College). For our seminar, we are pleased to welcome Andrew Golightly from Newcastle University. The seminar will be followed by a wine reception in the Postgraduate Statistics Centre. We look forward to seeing you here in Lancaster. There is no need to register, but if you have any queries please contact Matt Nunes ([log in to unmask])
or Lisa Hampson ([log in to unmask]). ************ Speaker:
Andrew Golightly (Newcastle University) Title: Inference for population dynamics in the Neolithic period
Abstract:
We consider a spatio-temporal model to describe the spread of the Neolithic across Europe. The arrival time of farming at a collection of radiocarbon-dated sites is modelled by a numerical solution to an advancing wavefront
model. Our solution allows for uncertainty in the radiocarbon data, lack-of-fit from the deterministic model and uses a spatial Gaussian process to smooth over any locally geographic anomalies in the data. The analysis makes inferences for the parameters of
the wavefront model by using fast Gaussian process emulator approximations to the wavefront model at each site, and gives insights into the importance of spatial scale.
For further details of upcoming events in 2013, please see our website
http://www.rss-lancashire.org.uk/home
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========================================================================Date: Mon, 21 Jan 2013 17:47:45 +0000
Reply-To: Doug Roberts <[log in to unmask]>
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From: Doug Roberts <[log in to unmask]>
Subject: Contract SAS Programmer | SDTM/ADaM Standards | Northern Italy |
=?utf-8?Q?€50+_?=per hour
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========================================================================Date: Mon, 21 Jan 2013 17:51:44 +0000
Reply-To: Russell Gillam <[log in to unmask]>
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From: Russell Gillam <[log in to unmask]>
Subject: Exciting New Opportunity
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Please find below an exciting new position which I feel may be of interest to some of you,
Associate Director of Biostatistics/Lead Statistician
M4 Corridor
12 Months Rolling Contract
£400 Per Day
My client, an international pharmaceutical are looking to take on an experienced clinical statistician to drive statistical activities on a stable and lucrative contract.
You're Accountabilities/Responsibilities:
Draft statistical text for study concept documents and protocols (study design, endpoints, sample size, methods for analysis)
Draft statistical analysis plans
Draft templates for tables, listings and graphs
Contribute to statistical review and QC of CSRs, clinical publications and other communications
Liaise and communicate with regulatory authorities
Interface with outsourcing partners and vendors
Provide input to and participate in intra-departmental and global Biostatistics meetings
Consults with Medical Writer and Physician to interpretation of efficacy
You're Requirements:
Msc or PHD in statistics or closely related subjects
Approximately 7-10 years' experience within the pharmaceutical industry
Must be at a lead level (although no line-management)
Excellent knowledge of protocol authoring, SAP writing, study design
Strong knowledge of regulatory guidance
For further details, please get in touch directly with Russell Gillam +44 (0) 207 255 6665
or send in your updated CV for review, with a paragraph highlighting your relevance for the position [log in to unmask] Please find below an exciting new position which I feel may be of interest to some of you, Associate Director of Biostatistics/Lead Statistician M4 Corridor 12 Months Rolling Contract £400 Per Day My client, an international pharmaceutical are looking to take on an experienced clinical statistician to drive statistical activities on a stable and lucrative contract. You’re Accountabilities/Responsibilities:
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========================================================================Date: Mon, 21 Jan 2013 21:33:31 +0000
Reply-To: "Hazelton, Martin" <[log in to unmask]>
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From: "Hazelton, Martin" <[log in to unmask]>
Subject: JOB REMINDER: Lecturer in Statistical Genetics,
Massey University New Zealand
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Reminder: closing date is 27 January.
Lecturer in Statistical Genetics
Massey University, New Zealand
Applications are invited for a position of Lecturer in Statistical Genetics within the Institute of Fundamental Sciences in the College of Sciences at Massey University in Palmerston North, New Zealand.
The Institute of Fundamental Sciences is a multi-disciplinary research and teaching Institute. The Institute incorporates groups in Biochemistry & Genetics; Chemistry & Biophysics; Mathematics & Mathematical Physics; Plant and Microbial Sciences; and Statistics & Bioinformatics. The Institute has strong links with other units within the College of Sciences, including the Infectious Diseases Research Centre (IDReC, http://www.idrec.ac.nz/), and also with the Allan Wilson Centre for Molecular Ecology & Evolution (http://www.allanwilsoncentre.ac.nz/).
For information on staff in the Statistics & Bioinformatics Group, see http://www.massey.ac.nz/massey/learning/departments/institute-of-fundamental-sciences/staff/statistics-and-bioinformatics-group.cfm .
Palmerston North is the fourth largest city on New Zealand's North Island. It has the wealth of facilities you would expect to find in a major city, yet it is compact, friendly and accessible. Real estate in the city is very affordable: the median house price is between three and four times a lecturer's salary.
Enquiries of an academic nature should be directed to Professor Martin Hazelton (Head of the Statistics & Bioinformatics Group, email: [log in to unmask]).
Further details, and online application, are available at http://jobs.massey.ac.nz/PositionDetail.aspx?p=7499 . The closing date for applications is 27 January 2013.
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========================================================================Date: Tue, 22 Jan 2013 07:55:22 +0000
Reply-To: "Lausen, Berthold" <[log in to unmask]>
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From: "Lausen, Berthold" <[log in to unmask]>
Subject: JOB: SENIOR LECTURER IN ACTUARIAL SCIENCE,
Department of Mathematical Sciences,
University of Essex (Colchester campus), UK
Comments: cc: "Salhi, Abdellah" <[log in to unmask]>,
"Perperoglou, Aris" <[log in to unmask]>,
"Dai, Hongsheng" <[log in to unmask]>,
"Upton, Graham J G" <[log in to unmask]>
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Dear all,
Advertisement SENIOR LECTURER IN ACTUARIAL SCIENCE see below (Closing date 10 February 2013)
- University of Essex see www.essex.ac.uk
- Colchester Station to London-Liverpool station (55 minutes on the train);
- Wivenhoe Quay 2 miles away from Colchester Campus (Wivenhoe station - London-Liverpool-St. about 60 min connection every hour)
http://www.wivenhoe.gov.uk/
- new built three bed room houses 180k onwards; four bed 230k onwards - locations close to the town centre and Colchester Station.
Best wishes
Berthold Lausen (Department of Mathematical Sciences, University of Essex, UK)
================================================================
http://gs12.globalsuccessor.com/fe/tpl_essex01.asp?newms=jj&id=68754
SENIOR LECTURER IN ACTUARIAL SCIENCE, Department of Mathematical Sciences
Salary £47,314-£53,233 per annum
Closing date 10 February 2013
The post offers the opportunity for a high calibre actuary whether coming from academia or actuarial practice to lead and develop the new BSc in Actuarial Science that we are offering from October 2013. The successful candidate will be expected to contribute strongly to teaching at both undergraduate and postgraduate levels within the Department. They will also be expected to contribute to research within the Mathematical Modelling and Data Analysis Group both individually and through interactions with other members of the group and other groups in the university, particularly those in the Essex Business School, ranked second in the country in the last RAE for research in accounting and finance.
The successful candidate must hold a PhD and have relevant teaching experience of Actuarial Science and/or Statistics undergraduate and postgraduate programmes, including supervision of postgraduate projects. They must show ability and potential to attract external research funding whether individually or in collaboration with others. This post is to start from 1 June 2013.
Please use the link below for a full job description, person specification and further information relating to this post. Please read this information carefully before applying for this post as it contains details of documents that must be attached to your application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone (01206 874588/873521).
Further information about this post http://gs12.globalsuccessor.com/fe/tpl_essex01.asp?newms=jj&id=68754
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========================================================================Date: Tue, 22 Jan 2013 09:59:01 +0100
Reply-To: Raphael Yemitan <[log in to unmask]>
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From: Raphael Yemitan <[log in to unmask]>
Subject: Re: JOB: Director of Exploratory Statistics
In-Reply-To: <[log in to unmask]>
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Dear All Greetings,
I am currently faced with the challenge of solving some problems with
Transition Functions.
My challenge has to do with proving and estimating the Expectation and
Variance of the Logistic Transition function.
Any other recommends, steps or solution to the problem would been greatly
appreciated.
Kind Regards
Raphael Yemitan
*[log in to unmask]
+2348055455396*
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========================================================================Date: Tue, 22 Jan 2013 09:24:28 +0000
Reply-To: "Spencer, Simon" <[log in to unmask]>
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From: "Spencer, Simon" <[log in to unmask]>
Subject: PhD Studentships in Statistics at Warwick
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We have up to 5 EPSRC-funded PhD studentships in the Department of Statistics at the University of Warwick. They are available to UK and EU students.
These studentships cover academic fees at the Home/EU rate for EU citizens. For UK citizens who are ordinarily resident, a tax-free stipend is also provided (in 2012-13 this is £16,590 which includes an enhancement of £3,000). Those EU citizens who meet EPSRC residence requirements (see http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm) will receive the same tax-free stipend.
The Department is one of the largest UK concentrations of researchers in statistics and probability and our research covers a wide range of areas. The research environment is vibrant with a large and active community of PhD students. More information regarding the research activity of the department can be found at http:/www.warwick.ac.uk/go/statistics/research/
Please see http://www.warwick.ac.uk/go/statistics/postgrad/research/ for more details about our PhD programme and the application procedure.
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========================================================================Date: Tue, 22 Jan 2013 09:42:41 +0000
Reply-To: "Kahraman, Emel" <[log in to unmask]>
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From: "Kahraman, Emel" <[log in to unmask]>
Subject: **Hays Life sciences-- Director of Exploratory Statistics -
Benelux**
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========================================================================Date: Tue, 22 Jan 2013 09:54:00 +0000
Reply-To: James Phillips <[log in to unmask]>
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<[log in to unmask]>
From: James Phillips <[log in to unmask]>
Subject: JOBS: Weekly email alert from StatsJobs.com
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10 jobs have been added to StatsJobs.com in the past week. To view the full details of the job listings please visit StatsJobs.com.
To request the weekly email alert which is sent to over 3,500 subscribers, please subscribe at www.statsjobs.com - just enter your email address on the subscribe form on the homepage.
Non Executive Member of the Crime Statistics Advisory Committee | Government Statistical Service | London
Senior Medical Statistician | University of Southampton
Professor/ Associate Professor in Statistics | University of Leeds
Lecturer/Associate Lecturer in Statistics | Plymouth University
Biostatistician | University of Glasgow
Senior Lecturer / Associate Professor in Biostatistics | University of Otago | NZ
Full or Associate position in Statistics/Econometrics | Dpt of Economics, University of Cergy-Pontoise
Senior Statistician | Baxter | Round Lake, IL
Brunel Fellowship in Statistics | University of Bristol
University Lecturer in Statistics | University of Oxford
You may leave the list at any time by sending the command
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========================================================================Date: Tue, 22 Jan 2013 09:59:06 +0000
Reply-To: Chris Harbron <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chris Harbron <[log in to unmask]>
Subject: JOB : Principal Statistician - Personalised HealthCare &
Biomarkers, AstraZeneca
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With the recent creation of AstraZeneca’s world-leading Personalised Healthcare and Biomarkers function, we now have a dedicated team with the remit to deliver registration-ready diagnostics and biomarkers for AstraZeneca drug projects. Already, a large proportion of our pipeline is actively exploring a PHC approach, with examples in every major therapy area.
Statistics are recognised to have a crucial role to play in ensuring the success of this new capability and we are seeking an experienced qualified statistician with technical capability, strong interpersonal and communication skills and a track record in delivering statistical impact to join a global team of statisticians and play a key role in shaping its scientific direction.
The Successful candidate will act as a key statistical contact for Personalised Healthcare and Biomarkers taking responsibility for evaluating and delivering their statistical requirements. Provide strategic, scientific and statistical expert advice to all levels of staff and influence them to adopt appropriate statistical approaches, either at a project or functional level ensuring the utilisation of best practices to enhance the value and contribution of statistics within Personalised Healthcare and Biomarkers. This role will combine elements of technical, strategic and delivery leadership.
For more information please visit the AstraZeneca careers website :
http://gs.globalsuccessor.com/fe/tpl_astrazenecav2.asp?newms=jj&id=59237&----JOB-PREVIEW-MODE----
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========================================================================Date: Tue, 22 Jan 2013 10:38:00 +0000
Reply-To: "Lee, Adrian" <[log in to unmask]>
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From: "Lee, Adrian" <[log in to unmask]>
Subject: JOB: Contract SAS Programmer
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========================================================================Date: Tue, 22 Jan 2013 11:20:16 -0000
Reply-To: "Hinde, John" <[log in to unmask]>
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From: "Hinde, John" <[log in to unmask]>
Subject: Meeting: Biometric Society Meeting: 40+ years of the Cox model,
8th March
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The British and Irish Region of the International Biometric Society, together with the Centre for Statistical Methodology at the London School of Hygiene and Tropical Medicine, announces a scientific meeting to mark 41 years of Sir David Cox's celebrated relative risk model for time-to-event data. The meeting will take place on 8 March 2013 at the London School of Hygiene and Tropical Medicine. Full details and registration can be found at:
http://bir.biometricsociety.org/events/coxmeeting
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========================================================================Date: Tue, 22 Jan 2013 11:31:42 +0000
Reply-To: Karen Grace-Martin <[log in to unmask]>
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From: Karen Grace-Martin <[log in to unmask]>
Subject: Free Webinar: Ten Data Analysis Tips in R with David Lillis
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This free, one-hour webinar is part of our regular Craft of Statistical Analysis series.
Have you starting using R?
One secret to using any statistical software well and without frustration is learning the little “tricks†that make it easy to do the things you need to do.
This is especially true in R, which is constantly being updated.
In this webinar, R expert David Lillis will show you 10 tips for getting the most of R.
David Lillis has taught R to many researchers and statisticians. His company, Sigma Statistics and Research Limited, provides both on-line instruction and face-to-face workshops on R, and coding services in R. David holds a doctorate in applied statistics and is a frequent contributor to The Analysis Factor.
Date: January 30, 2013
Time: 1pm U.S. Eastern Time UTC -5 (12pm Central, 11am Mountain, 10am Pacific)
Get more information and register at:
http://www.theanalysisfactor.com/ten-data-analysis-tips-in-r/
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========================================================================Date: Tue, 22 Jan 2013 12:03:08 +0000
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From: "Kells, Richard" <[log in to unmask]>
Subject: COURSE: Matlab Programming course at Imperial College
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There are still places available on next month's Matlab course below...
_________________________________________
Introduction to Programming Using Matlab
* Wednesday 13 February 2013 (10.00-17.00)
Weblink: www3.imperial.ac.uk/stathelp/courses/matlabcourses/matlabprogram
There are still places available on next month’s Matlab course below...
_________________________________________
Introduction to Programming Using Matlab
·
Wednesday 13 February 2013
(10.00-17.00)
Weblink:
www3.imperial.ac.uk/stathelp/courses/matlabcourses/matlabprogram _________________________________________ We currently provide courses in
SPSS,
Stata, Matlab &
Clinical Trials. Please contact +44 (0)20 7594 3856 or
[log in to unmask] for further information.
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========================================================================Date: Tue, 22 Jan 2013 12:19:22 +0000
Reply-To: James Carrera <[log in to unmask]>
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From: James Carrera <[log in to unmask]>
Subject: CONTRACT: 3 x Senior Statistical Programmers - Mainland Europe
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For a confidential consultation call James Carrera on +44 207 255 6665 or email your CV to [log in to unmask] For a confidential consultation call James Carrera on +44 207 255 6665 or email your CV to
[log in to unmask] 2201/13a CONTRACT: 3 x Senior Statistical Programmers ISE & ISS Specialists 12 month rolling contracts - Mainland Europe Job Summary: Provide programming support and validation of analysis data sets, pooled datasets, statistical summary tables, figures and patient data listings for phase I – phase III clinical trials, ISS &
ISE.
·
Provide output for the Clinical Study Report, the Integrated Summary of Safety (ISS), the Integrated Summary of Efficacy (ISE) and electronic submissions.
·
You will work with biostatisticians and programmers based also in other sites globally.
·
This position will require a significant training investment for the use of client specific processes / procedures in particular, SAS macros, creation of analysis data sets and dataset
structures. Need for ensuring standardization of programs where applicable.
·
Apply knowledge of clinical data, the design and phases of clinical trials, statistics, relevant regulations and the pharmaceutical industry to the implementation of tasks.
·
Handle complex statistical programming issues independently and be familiar with study programming issues. Bring ideas for new projects and take the initiative to solve issues. At least 4-5 years Statistical SAS programming experience with prior experience in pharmaceutical related field is required. Working knowledge of clinical legislation (FDA, EMEA), Good Clinical Practice (GCP) and Clinical Data Interchange Standards Consortium (CDISC) is a plus.
·
SAS expert
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Fluent in English
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Ability to evaluate processes and situations in an orderly and rational manner asking questions and identifying missing information.
·
Must be able to determine relationships between different parts of a problem and identify appropriate solutions.
·
Accurately and efficiently work towards quality results For further details or a confidential conversation please contact me directly: Statistics, Biostatistics & Programming Pharmaceutical, Healthcare & CRO Division SEC Recruitment Pharmaceutical, clinical trials, statistician, statistics, statistical, SAS, programmer, programming, statistics, statistician, biostatistics, biostatistician
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========================================================================Date: Tue, 22 Jan 2013 12:36:36 +0000
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From: James Carrera <[log in to unmask]>
Subject: HOME BASED: Senior / Lead Statistical Programmer - Various
Permanent Opportunities...
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For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to [log in to unmask] For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to
[log in to unmask] HOME BASED: Senior / Lead Statistical Programmer Numerous Positions Available – Must be based in Mainland Europe £ Excellent Remuneration + Benefits Package Job Summary: Working for this major client, you will ensure;
• all programming outputs pertaining to individual clinical studies and ISS/ISE meet required standards and are validated / correct • all programming outputs pertaining to non-registrational activities meet required standards and are validated and correct • quality and accuracy of programming deliverables. Accountabilities/Responsibilities: • Assist in the recruitment of programming staff • Provide support to (mentor) more junior programmers • Participate in technical programming and process improvement initiatives within Global Biostatistics • Function as a Project Lead Programmer with the following key activities • Set up study level programming environment • Generate randomization lists • Draft SDF dataset specifications • Review and approve SDF dataset specifications drafted by another programmer • Review and approve key study-related documents produced by other functions (e.g. CRF, Data Management Plan etc) • Review SAPs from the programming perspective • Draft programming plans • Review and approve programming plans drafted by another programmer • Write, test and validate software programs to produce SDF and analysis datasets and TLGs for inclusion within CSRs, ISS / ISE, publications and other communications • Perform QC checking of software programs written by another programmer Essential Skills & Capabilities: Educated to BS/BSc or higher degree in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject your knowledge will encompass; • Minimum 5 years' statistical Programming with the pharmaceutical industry • Clinical Trials within Pharmaceutical/Biotechnology/Public Health setting in Industry, Government or Academia • Drug Development (Pre-clinical Development, Clinical Development, Medical Affairs) • Project Planning and Management • Development of policies and SOPs • International co-operation For further details or a confidential conversation please contact me directly: James Carrera Associate Director – SEC Pharma Statistics, Biostatistics & Programming Pharmaceutical, Healthcare & CRO Division Tel: +44 (0) 207 255 6665 http://uk.linkedin.com/in/jamescarrera Pharmaceutical, clinical trials, statistician, statistics, statistical, SAS, programmer, programming, statistics, statistician, biostatistics, biostatistician
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========================================================================Date: Tue, 22 Jan 2013 12:44:20 +0000
Reply-To: James Carrera <[log in to unmask]>
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From: James Carrera <[log in to unmask]>
Subject: CONTRACT: Senior SAS Programmer - Italy - 10 month rolling
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For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to [log in to unmask] For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to
[log in to unmask] 2201/13c CONTRACT: Senior SAS Programmer Italy - 10 month rolling - Contract Position Job Summary:
·
Develop and comply with project/study programming standards and specifications following internal guidelines
·
Provide programming specifications for analysis datasets, pooled datasets and deliverables in consultation with the statistician.
·
Support quality control and quality audit of deliverables
·
Provide input as required at all meetings, discussions and activities covering aspects of Statistical Reporting on trial level activities
·
Maintain efficient interfaces with internal and external customers and communicate effectively across line functions.
·
At least 3-5 years experience as a SAS programmer supporting clinical trials
·
Experience using SAS in the analysis and the reporting of pharmaceutical data
·
Experience in Oncology therapeutic area
·
Working knowledge of database design/structures
·
Expertise with SAS (including SAS macro language)
·
·
Advanced macro knowledge
·
Experience of complex programming Architecture or Application development
For further details or a confidential conversation please contact me directly: James Carrera Statistics, Biostatistics & Programming Pharmaceutical, Healthcare & CRO Division Pharmaceutical, clinical trials, statistician, statistics, statistical, SAS, programmer, programming, statistics,
statistician, biostatistics, biostatistician
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========================================================================Date: Tue, 22 Jan 2013 13:46:53 -0000
Reply-To: "Allan Reese (Cefas)" <[log in to unmask]>
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From: "Allan Reese (Cefas)" <[log in to unmask]>
Subject: Epidemiological Data Analyst (2 posts) - Weymouth UK
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Epidemiological Data Analyst (2 posts)
Cefas Payband 4: £19,700 - £24,289pa
Permanent Contract
Weymouth
The Epidemiology and Risk team of the Aquatic Health and Hygiene (AHH) Division of Cefas undertakes research and provides advice in support of Defra's aquatic animal health and environment policies and participate in EU funded research and other collaborations. Research centres on the use of risk assessment, statistical and mathematical modelling approaches to prevent, manage and control animal and human health issues associated with aquatic systems. This work depends largely on desk based analyses that require extraction, compilation and analysis of data from national and in house databases, scientific and grey literature.
You will be responsible for providing technical support to current and future research programmes by compiling and using existing data to understand and model the risk of aquatic animal disease introduction, establishment and spread. You will also be responsible for developing databases to store information from ongoing and future epidemiological studies. The role will also include the use of abstract and literature databases to support epidemiological studies, undertaking systematic literature reviews and compiling reference libraries. In addition to data management, opportunities exist to undertake statistical analyses.
Highly computer literate, and competent in setting up and using spreadsheets and databases, you will have experience in handling and manipulating large datasets and some experience in using Geographic Information Systems (GIS). You will also have a basic understanding of biological systems, statistics, and graphical methods. Excellent attention to detail with sound communication skills and able to work on multiple projects at the same time. You will be flexible and committed, have the ability to organise your own work to meet deadlines and have experience of working both independently and as part of a team.
A working knowledge of Structured Query Language (SQL), risk assessment, aquaculture and aquatic systems, programming in R. and advanced statistics and network analysis are all desirable.
Closing date for applications is 31/01/13
Interview date for applications is 19/02/13
This email and any attachments are intended for the named recipient only. Its unauthorised use, distribution, disclosure, storage or copying is not permitted.
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 opinions expressed are the author's own
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Epidemiological Data Analyst (2 posts)
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================================================================================================================================================Date: Tue, 22 Jan 2013 14:28:26 +0000
Reply-To: Camilla Soden <[log in to unmask]>
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From: Camilla Soden <[log in to unmask]>
Subject: JOB: Fixed Term Vacancy "Environmental Statistician"
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Environmental Statistician 37 hours per week, Fixed Term until 25th October 2013, Maternity Leave cover Starting Salary £23,839 per annum Location: Inverness, Other locations may be considered (Ref: 055-313) Key aims of this post are to promote statistical rigour in the collection, analysis and interpretation of information in Scottish Natural Heritage (SNH). This includes providing statistical support throughout SNH, in all its fields of activity. A framework agreement is in place to supplement the in-house statistical service with external statistical provision under contract. You must have a degree with extensive statistical content and relevant work experience or a higher degree in statistics with practical experience of data handling and applying statistical methods, especially time series. Experience in the use of statistical software, such as R, S+ or SPSS with good knowledge of statistical techniques and when to use them are also a must. You must also have contributed to research projects and to writing research reports with good communication and interpersonal skills. Self-motivation, initiative and an ability to work effectively with others including good time and project management skills are important. Finally, you must have intermediate/advanced skills in the use of Microsoft Office software and the ability to apply complex statistical methods. Closing date: 10th February 2013 Please apply on-line at www.snhjobs.co.uk
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========================================================================Date: Tue, 22 Jan 2013 15:26:01 +0000
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From: "Alvaro.Faria" <[log in to unmask]>
Subject: PhD Studentships in Statistics at the Open University
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DEPARTMENT OF MATHEMATICS AND STATISTICS
FACULTY OF MATHEMATICS, COMPUTING AND TECHNOLOGY
THE OPEN UNIVERSITY
FULL-TIME PHD STUDENTSHIPS AVAILABLE FROM 1 OCTOBER 2013
The Department of Mathematics and Statistics invites applications for full-time PhD studentships in Statistics commencing 1 October 2013. A studentship is for three years but extensions of up to six months are possible. Studentships cover full-time fees and include a stipend (currently £13,590 per annum).
Full-time PhD students are based at the University's Walton Hall campus in Milton Keynes and are allocated office space and computer facilities in the Department. Full-time students have an automatic travel and subsistence allocation (currently £1250 per annum for three years) to cover training and conference participation. Students are also supported to join an appropriate learned society.
Details of statistics research areas covered in the Mathematics and Statistics Department are available from: www3.open.ac.uk/study/research-degrees/statistics.htm . Applications for statistics research projects highlighted in: www.mathematics.open.ac.uk/phd are especially welcomed; three statistics projects are available, entitled:
Real Time Forecasting and Monitoring of High Frequency Data;
Forecasting and Monitoring Traffic Network Flows;
Choosing from the Menu of Distributional Families.
A detailed research proposal is not required, but applicants should make clear their principal project of interest.
General information about studying for a research degree with the Open University is available from the Research Degrees Prospectus: www3.open.ac.uk/study/research-degrees/index.htm and, in particular, www3.open.ac.uk/study/research-degrees/explained/degrees_we_offer/doctor_of_philosophy.htm
Completed application forms to: [log in to unmask] should arrive by 5pm on Monday, 11 March 2013. Application forms are available from:
www3.open.ac.uk/study/research-degrees/explained/how_to_apply/mphil_and_phd_applications.htm .
Overseas applicants are welcomed but those from a non-European Economic Area country that is not majority English-speaking must hold a Common European Framework of Reference for Languages (CEFR) certificate for English at B2 level or higher.
Interested persons are strongly encouraged to make informal enquiries to:
[log in to unmask]
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The Open University is incorporated by Royal Charter (RC 000391), an exempt charity in England & Wales and a charity registered in Scotland (SC 038302).
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========================================================================Date: Tue, 22 Jan 2013 15:39:18 -0000
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From: "Hinde, John" <[log in to unmask]>
Subject: Meeting: Biometric Society Meeting: 40+ years of the Cox model,
8th March
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The email below sent out today didn't copy and paste correctly, the weblinks didn't go to the website listed. This should be correct in the email below.
The British and Irish Region of the International Biometric Society, together with the Centre for Statistical Methodology at the London School of Hygiene and Tropical Medicine, announces a scientific meeting to mark 41 years of Sir David Cox's celebrated relative risk model for time-to-event data. The meeting will take place on 8 March 2013 at the London School of Hygiene and Tropical Medicine. Full details and registration can be found at:
http://bir.biometricsociety.org/events/coxmeeting
The meeting will include presentations of novel research in event-history analysis, and a historical perspective on the impact of the 1972 paper. Speakers will be Bianca De Stavola, Torben Martinussen, Paul Lambert and Robin Henderson, together with a brief reflection and discussion from David Cox.
Registration includes lunch, tea and coffee, and is available at discounted prices for IBS members, at a cost of £35 for full members and £20 for retired members and students, and £50 for non-members. (If you need to renew your membership, this can be done online at http://bir.biometricsociety.org/membership).
You may leave the list at any time by sending the command
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========================================================================Date: Tue, 22 Jan 2013 15:44:25 +0000
Reply-To: Kathy Airey <[log in to unmask]>
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From: Kathy Airey <[log in to unmask]>
Subject: Multiple Imputation course Feb 25th 26th 2013
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Dear All
Please be advised that there are still some places available for the
Multiple Imputation course Feb 25th 26th 2013
Course Aims:
Explain the problems of missing data and the need for methods such as
multiple imputation
Explain how multiple imputation works, with a focus on imputation by
chained equations (ICE)
Explain how multiply imputed data are analysed
Enable participants to analyse data by multiple imputation in Stata 12
using the commands mi impute chained and mi estimate
Please use the link below to register
http://www.mrc-bsu.cam.ac.uk/MIcourse/reg_form.shtml
Regards
Kathy
--
Kathleen Airey
Event Organiser/Unit Secretary
MRC-Biostatistics Unit
IPH Forvie Site
Robinson Way
Cambridge
CB2 0SR
Tel: 01223 330366 - Direct Line
01223 760727 - second line
Fax: 01223 330365
Email: [log in to unmask]
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========================================================================Date: Tue, 22 Jan 2013 17:13:48 +0000
Reply-To: Arthur Allignol <[log in to unmask]>
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<[log in to unmask]>
From: Arthur Allignol <[log in to unmask]>
Subject: 3. Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft
Statistik -- Programme online
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Dear colleagues,
the detailed conference programme for the 3rd Joint Statistical
Meeting DAGStat 2013 which will take place in Freiburg (Germany) from
March 18 to 22, 2013, is now available.
http://dagstat2013.uni-freiburg.de/program/time
Early booking fees apply until January 31. Attendance of tutorials,
conference dinner and welcome reception is limited. Registration for
the conference can be done online
http://dagstat2013.uni-freiburg.de/registration-and-submisson-of-abstracts
The meeting includes the 59th 'Biometrisches Kolloquium' and the
'Pfingsttagung der Deutschen Statistischen Gesellschaft'. The
'Deutsche Arbeitsgemeinschaft Statistik' (DAGStat) is a network of
scientific and professional organizations that develop and promote
statistical theory and methodology. According to the motto 'Statistics
under one umbrella', contributions of all statistical disciplines will
be discussed. The main talks will address current topics which will be
interesting for statisticians of all areas of application.
Confirmed Invited Speakers
===========================
Odd Aalen, U Oslo
Gerard van den Berg, U Mannheim
Ludwig Fahrmeir, LMU München
Mitch Gail, National Cancer Institute, Bethesda
Xiao-Li Meng, Harvard University
Tom Stanley, Hendrix College
Ed Vytlacil, Yale University
Lisa Lavange, U.S. Food and Drug Administration
Daniel Bauer, U Georgia, Atlanta
Miguel Hernan, U Harvard School of Public Health, Boston
Patrick Bossuyt, U Amsterdam
Kurt Hornik, U Wien
Peter Filzmoser, TU Wien
Valerii Fedorov, Isaac Newton Institute for Mathematical Science, UK
Simon Wood, U Bath, UK
Marc Paolella, U Zürich
Peter Bühlmann, ETH Zürich
John Copas, Warwick, UK
Stephen Walter, U Hamilton, Canada
Ruth Pfeiffer, National Cancer Institute, Bethseda, USA
Simon Thompson, U Cambridge
Matthias Parey, U Essex
Shein-Chung Chow, U Duke
Stefan Steiner, U Waterloo
Ole Wendroth, U Kentucky
Topics
=======
Talks from a great variety of topics from different fields of
applications like medicine, economics and engineering will allow and
support an exchange of statistical methods and thus encourage
interesting and productive scientific discussions. Sessions will
include the following topics:
- Penalized and Regularized Regression Analysis
- Time Series Analysis
- Robust and Distribution Free Statistics
- Non- and Semi-Parametric Statistics
- Observational Studies
- Survival and Event History Analysis
- Computational and Simulation Based Statistics
- Clustering
- Classification
- Statistics for High Dimensional Data
- Applied Econometrics
- Risk Analysis and Risk Prediction
- Statistics in Finance, Insurance and Banking
- Statistical Surveillance
- Official Statistics and Demography
- Spatial Statistics
- Research Synthesis and Meta Analysis
- Benefit Assessment in Public Health
- Statistics in Clinical and Preclinical Research
- Statistics in Agriculture and Ecology
- Industrial Statistics
- Visualizations and Exploratory Data Analysis
- Image Analysis and Computer Vision
- Statistical Teaching and Consulting
- Design of Experiments
- Educational Research – Competence Modeling in Economics
- Statistik in der Öffentlichkeit und in der Politik (German)
- Open Topics
Tutorials:
===========
- The Craft of Smoothing (Full day, 18 March, 9:00am – 5:00pm)
with Paul H. C. Eilers and Brian D. Marx
- Competing Risks (Full day, 18 March, 9:00am – 5:00pm)
with Jan Beyersmann and Arthur Allignol
- Introduction to Parallel Programming and Batch Computing with R
(Half day, 22 March, 2:00pm – 6:00pm)
with Bernd Bischl and Michel Lang
Local organization:
====================
Martin Schumacher, Jan Beyersmann, Erika Graf, Guido Schwarzer,
Martin Wolkewitz
Institute for Medical Biometry and Medical Informatics
University Hospital Freiburg
Email: [log in to unmask]
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========================================================================Date: Tue, 22 Jan 2013 18:26:01 +0000
Reply-To: "Lucas, Ricardo" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: "Lucas, Ricardo" <[log in to unmask]>
Subject: JOB: Permanent Statistician Global CRO.
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========================================================================Date: Tue, 22 Jan 2013 21:17:49 +0000
Reply-To: Chintu Desai <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Chintu Desai <[log in to unmask]>
Subject: Principal Statistical Programmer, home or office based,
Mime-Version: 1.0
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Message-ID: <[log in to unmask]>
Please reply to the details below, rather than to me
Thanks
Chintu
--------------------------------------------------------------------------------------------------------------------------------------------------------
In the complex world of drug development, PharmaNet/i3 is exactly where you need to be. With offices in more than 30 countries around the world, PharmaNet/i3 has the resources to conduct any study; from a large multi-country, multi-language clinical trial today, to a smaller regional study tomorrow. PharmaNet/i3 works for you on trials of any size, anywhere around the world.
Working in partnership with our client Boehringer Ingelheim, this unique role plays a key part in the continual support of one of our Functional Strategic Partnerships. As such we are able to offer all the advantages of working for a top-five CRO combined with the benefits of operating as an integrated member of a multi-functional client-specific clinical team.
You will be responsible for:
• As an authority in the field of statistical programming using SAS, providing statistical programming and other expert technical support to the sponsor, programmers, and other department staff as needed.
• Supervise staff programmers and contribute to performance reviews. May have line management responsibilities.
• Manage or lead assignments and programming personnel on single or multiple projects.
• Assume overall responsibility for the successful execution of projects including adherence to timelines and budgets, as well as the quality of deliverables.
• Ensures that activities and processes performed are conducted according to company and sponsor requirements.
• Review Protocol, Statistical Analysis Plan (SAP), and shells for tables, listings and figures for projects.
• Work directly with our client in the definition, execution, and review of statistical programming projects.
• Partners with project statistician and programming team on the implementation of the statistical analysis.
• Lead program validation for each project and assists with statistical quality assurance review.
• Review deliverables before transfer to either internal or external client.
• Solicit feedback on project profitability from manager or project manager in order to assess and address productivity issues.
• Undertake statistical programming consultancy for sponsor company.
• Lead strategic departmental development and mentorship activities, including training for department members.
• Interact with other departments, such as Biostatistics and Project Management, to ensure a high level of sponsor satisfaction through successful execution of projects.
• Lead department activities associated with internal & external audits.
• Provides leadership in the development of efficient programming processes within the department.
• Develop software for standard systems.
• Lead technical initiatives at a local and global level.
• Maintains ongoing awareness of developments in statistical programming techniques and regulatory developments relevant to clinical trials and ensures that colleagues are kept informed.
And be able to meet the following requirements:
• B.S. degree required, M.S. degree preferred.
• Extensive experience in SAS programming for pharmaceutical projects demonstrated by the ability to lead multiple complex projects with large teams located across multiple sites.
• Possesses strong project management skills.
• Demonstrated working knowledge of clinical drug development and good programming
• practices.
• Proficient in industry standards, medical terminology, and clinical trial methodologies.
In return you can expect:
• The flexibility to be home or office based
• A competitive remuneration package with excellent benefits.
• A commitment to your development and training, with the opportunity to progress your career within a market leading and innovative organisation.
• The opportunity to work within a successful and rewarding environment.
To apply or find out more please contact Frances Wells at [log in to unmask] or call +44 (0) 1628 408444.
Frances Wells
Senior Recruiter, EMEA
Please note new e-mail address [log in to unmask]
Star House, 20 Grenfell Road, Maidenhead, Berkshire, SL6 1EH, UK
P: +44(0)1628 408444 M: +44(0)7891 182660
[log in to unmask] | www.pharmanet-i3.com
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========================================================================Date: Wed, 23 Jan 2013 03:58:06 +0000
Reply-To: Dankmar Boehning <[log in to unmask]>
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From: Dankmar Boehning <[log in to unmask]>
Subject: Bayes 2013, May 21-23, Erasmus University Rotterdam
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Objectives of the workshop: Propagate the Bayesian thinking in general and in particular in the pharmaceutical industry - Provide short courses in Bayesian methodology - Learn with applied case studies (Clinical, non-clinical, CMC, ...) - Emphasize the advantages of Bayesian modeling for science and for business
Preliminary Program
Day 1: Computational methods
Morning: Course: An Introduction to INLA with a Comparison to JAGS by Gianluca Baio (UC London)
Afternoon: Invited talk (TBA) + contributed talks
Day 2: Missing data and signal detection
Morning: Bayesian methods for missing data imputation – invited talks by Nicky Best and Alexina Mason (Imperical college, London) and contributed talks
Afternoon: Bayesian signal detection in drug research– invited talk by David Ohlssen (NOVARTIS) and contributed talks
Bayesian signal detection in genome wide association studies – invited talk by Emmanuel Lesaffre and Veronika Rockova (Erasmus MC) and contributed talks
Day 3 (morning): Contributed talks on the application of Bayesian methods in medical research with a focus on problems in pharmaceutical industry
Scientific Committee
Emmanuel Lesaffre, Erasmus MC, The Netherlands
Gianluca Baio, U.C. London, UK
Bruno Boulanger, Arlenda, Belgium
Muriel Boulton, Grünenthal, Germany
Brad Carlin, U. Minnesota, US
Julien Cornebise, DeepMind Technologies, UK
Christel Faes, U.Hasselt, Belgium
Tom Jacobs, Janssen, Belgium
Astrid Jullion, Arlenda, Belgium
Philippe Lambert, U. Liège, Belgium
Sophie Vanbelle, U.Maastricht, The Netherlands
Local Organizing Committee
Emmanuel Lesaffre, Erasmus MC, Rotterdam
Eline van Gent, Erasmus MC, Rotterdam
Registration
Student: free
Academics: 250€
Industry, Quetelet member: 350€
Industry: 500€
Website
www.bayes-pharma.org
Address
Erasmus MC
Dr. Molewaterplein 50-60
Rotterdam
The Netherlands
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========================================================================Date: Wed, 23 Jan 2013 08:33:10 +0000
Reply-To: Emma Jones <[log in to unmask]>
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From: Emma Jones <[log in to unmask]>
Subject: CONFERENCE: PSI 1-Day Scientific Meeting: The Design and Analysis
of Observational Studies
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*The Design and Analysis of Observational Studies*
*Wednesday 27th February 2013, 9am - 5pm, London*
***The early bird deadline for registering ends today so ensure you book
your place today to get the discount mentioned below***
Statisticians are being expected to get more involved in areas outside
their traditional roles in clinical development. Observational data is
becoming increasingly important throughout the development process, and not
just after product launch. Traditional post-authorisation safety studies
will also present more challenges ahead as the type and size of data sets
expands rapidly.
Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day
scientific meeting which, with industry and regulatory speakers, will bring
together methodology and case studies to illustrate these challenges and
potential solutions to them. This 1–day meeting is a must for those
looking to learn more about this exciting area. Further updates to the
programme will be forthcoming.
The meeting will start at 9am and is now confirmed to be held at the RSS in
London, finishing at 5pm. The fee is £100 for PSI members and £140 for
non-members before the 23rd January or £140 for PSI members and £200 for
non-members thereafter. A reduced fee of £40 (or £70 after 23rd January) is
available to academics.
The full agenda can be found at
http://www.psiweb.org/docs/observationalstudiesflyer.doc
Registrations can be made via the PSI web site at http://www.psiweb.org.
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The Design and Analysis of Observational Studies Wednesday 27th February 2013, 9am - 5pm, London ***The early bird deadline for registering ends today so ensure you book your place today to get the discount mentioned below*** Statisticians are being expected to get more involved in areas outside their traditional roles in clinical development. Observational data is becoming increasingly important throughout the development process, and not just after product launch. Traditional post-authorisation safety studies will also present more challenges ahead as the type and size of data sets expands rapidly. Statisticians in the Pharmaceutical Industry (PSI) are hosting a 1-day scientific meeting which, with industry and regulatory speakers, will bring together methodology and case studies to illustrate these challenges and potential solutions to them. This 1–day meeting is a must for those looking to learn more about this exciting area. Further updates to the programme will be forthcoming. The meeting will start at 9am and is now confirmed to be held at the RSS in London, finishing at 5pm. The fee is £100 for PSI members and £140 for non-members before the 23rd January or £140 for PSI members and £200 for non-members thereafter. A reduced fee of £40 (or £70 after 23rd January) is available to academics. The full agenda can be found at http://www.psiweb.org/docs/observationalstudiesflyer.doc Registrations can be made via the PSI web site at http://www.psiweb.org.
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========================================================================Date: Wed, 23 Jan 2013 11:01:24 +0000
Reply-To: shirley coleman <[log in to unmask]>
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From: shirley coleman <[log in to unmask]>
Subject: Statistics: For Businesses, About Businesses Feb 19th 2013
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You are invited to:
A one-day seminar about collecting and producing official statistics on businesses and showcasing potential uses in business, for research and for policy making, organised by the Quality Improvement and Official Statistics Sections of the Royal Statistical Society and ENBES (the European Network for Better Establishment Statistics)
Tuesday 19th February 2013 10am to 5pm
at the
Royal Statistical Society, Errol Street, London, EC1Y 8LX
http://www.rss.org.uk/site/cms/contentChapterView.asp?chapter=1
With kind regards,
Shirley Coleman,
Principal Statistician,
ISRU, Newcastle University
www.isru.ncl.ac.uk
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========================================================================Date: Wed, 23 Jan 2013 11:04:21 +0000
Reply-To: Laura Bonnett <[log in to unmask]>
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From: Laura Bonnett <[log in to unmask]>
Subject: Survival Analysis Conference - Accommodation deal closes 1 week
today!
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If you’re thinking of attending the Survival Analysis for Junior Researchers conference in Liverpool, March 25th & 26th, register now to be eligible for discounted accommodation at base2stay Liverpool (www.base2stay.co.uk/liverpool ). Offer ends on 31st January (although rooms will still be available after this time).
To register for the conference go to: www.liv.ac.uk/survival
Conference registration deadline is 8th March so act now to avoid missing out on a conference aimed at career young researchers, PhD and postgraduate students involved in the analysis or application of survival time data. The registration fee is only £175 and includes two keynote speakers (Prof. Dave Collett and Dr Paul Lambert), delegate oral presentations, daytime lunch and light refreshments and an evening of dinner and entertainment at The Beatles Story, Liverpool.
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========================================================================Date: Wed, 23 Jan 2013 11:05:04 +0000
Reply-To: "Lancaster, Gillian" <[log in to unmask]>
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From: "Lancaster, Gillian" <[log in to unmask]>
Subject: ANNOUNCE: PG Training in Quantitative Methods at Lancaster
University
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Training in Quantitative Methods at Lancaster University
We offer training in quantitative methods for people from a broad range of backgrounds, and by several different routes. The flexibility of the course attracts part-time students already in employment, as well as full-time students wishing to gain a masters level qualification. Study can be tailored to your own situation for up to a maximum of 5 years.
Lancaster University is an international centre of excellence for statistics research and training. Our students benefit from the new facilities of the Postgraduate Statistics Centre which provides a lively and supportive environment for students to attend courses and to meet together informally with staff and other students in our open social learning spaces.
MSc/PgDip/PgCert in QUANTITATIVE METHODS FOR SCIENCE, SOCIAL SCIENCE AND MEDICINE
The MSc offers optional pathways in Scientific Research Methods, Crime and Social Statistics, Statistical Methods for Health Research, and Teaching Statistics for those wishing to focus on a certain area of study. Others may like to take a more general approach and select a broader range of modules.
The MSc comprises of a taught module component (120 credits), and a dissertation (60 credits). Alternatively modules may be taken to gain a PgCert (60 credits) or PgDip (120 credits) or PG Certificate of Achievement (20 credits).
Most modules are also offered as short courses without assessment.
CORE modules:
Statistical Inference
Sampling Design
Questionnaire Design
Secondary Data Analysis
Generalized Linear Models
Multi-Level Models
OPTIONAL modules:
Bayesian Methods
Duration (Survival) Analysis
Data Mining
Methods for Missing Data
Structural Equation Modelling
Quantitative Methods for Scientific Research I
Quantitative Methods for Scientific Research II
Quantifying and Evaluating Forensic Evidence
Quantitative Criminology
Clinical Trials
Principles of Epidemiology
Teaching Statistics - by distance-learning (60 credits)
Most modules are worth 10 credits.
A background of at least 'A level' mathematics or equivalent is an advantage.
Further details of the MSc/PgDip/PgCert are available at:
http://www.maths.lancs.ac.uk/department/postgraduate/applied
*********************************************************************************
Further information can be obtained from Angela Mercer, the MSc/Short Course Co-ordinator ([log in to unmask] Training in Quantitative Methods at Lancaster University
We offer training in quantitative methods for people from a broad range of backgrounds, and by several different routes. The flexibility of the course attracts part-time
students already in employment, as well as full-time students wishing to gain a masters level qualification. Study can be tailored to your own situation for up to a maximum of 5 years. Lancaster University is an international centre of excellence for statistics research and training. Our students benefit from the new facilities of the Postgraduate Statistics
Centre which provides a lively and supportive environment for students to attend courses and to meet together informally with staff and other students in our open social learning spaces. MSc/PgDip/PgCert in QUANTITATIVE METHODS FOR SCIENCE, SOCIAL SCIENCE AND MEDICINE The MSc offers optional pathways in Scientific Research Methods, Crime and Social Statistics, Statistical Methods for
Health Research, and Teaching Statistics for those wishing to focus on a certain area of study. Others may like to take a more general approach and select a broader range of modules. The MSc comprises of a taught module component (120 credits), and a dissertation (60 credits). Alternatively modules may be taken to gain a PgCert (60 credits) or PgDip (120
credits) or PG Certificate of Achievement (20 credits). Most modules are also offered as short courses without assessment. CORE modules: Statistical Inference Sampling Design Questionnaire Design Secondary Data Analysis Generalized Linear Models Multi-Level Models OPTIONAL modules: Bayesian Methods Duration (Survival) Analysis Data Mining Methods for Missing Data Structural Equation Modelling Quantitative Methods for Scientific Research I
Quantitative Methods for Scientific Research II
Quantifying and Evaluating Forensic Evidence
Quantitative Criminology
Clinical Trials
Principles of Epidemiology
Teaching Statistics - by distance-learning (60 credits) Most modules are worth 10 credits. A background of at least 'A level' mathematics or equivalent is an advantage.
Further details of the MSc/PgDip/PgCert are available at: ********************************************************************************* Further information can be obtained from Angela Mercer, the MSc/Short Course Co-ordinator ([log in to unmask]) or
from Dr Gillian Lancaster ([log in to unmask])
Course Director.
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========================================================================Date: Wed, 23 Jan 2013 11:28:18 -0000
Reply-To: Nigel Marriott <[log in to unmask]>
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From: Nigel Marriott <[log in to unmask]>
Subject: SEMINAR: The new generation of statisticians in Quality &
Improvement - Do You Want to be part of it? 3rd May 2013, London,
RSS
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This is a joint event between the Young Statisticians section and the
Quality & Improvement section of the RSS. For full conference details &
booking forms, please follow this link
http://www.rss.org.uk/site/cms/contentEventViewEvent.asp?chapter=9
This is a joint event between the Young Statisticians section and the Quality & Improvement section of the RSS. For full conference details & booking forms, please follow this link http://www.rss.org.uk/site/cms/contentEventViewEvent.asp?chapter=9&e=1467 . Fees vary between £40 & £90 if booked before March 18th 2013 and £45 & £100 if booked after that date. “Why is that happening now?” and “How can we improve performance” are common questions that all organisations ask themselves. Whether it be sales, customer complaints, production defects, product quality, consumer opinion, staff turnover, overhead costs, stock levels, order fulfilment, policy compliance, supplier performance, waiting times, etc, all organisations want to know the reasons for their current performance and how they can improve it. Kind Regards Nigel Marriott Chartered Statistician Marriott Statistical Consulting Limited, Company No. 5577275, VAT No. 883304029 Registered in England, Registered Office – Equity House, 4-6 School Road, Tilehurst, Reading, RG31 5AL
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========================================================================Date: Wed, 23 Jan 2013 12:43:13 +0000
Reply-To: Debbie Ford <[log in to unmask]>
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From: Debbie Ford <[log in to unmask]>
Subject: JOB: Senior Postdoctoral Medical Statistician,
London or Bristol-based
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The deadline for applications for the post below has been extended to 22 February.
Senior Postdoctoral Medical Statistician
Medical Research Council Clinical Trials Unit (CTU), London & MRC Centre for Causal Analyses in Translational Epidemiology (CAiTE), School of Social and Community Medicine, University of Bristol
Salary £36,000-£40,000 (inclusive of London weighting if in London)
An MRC-funded 3-year postdoctoral cross-unit position is available for the following project:
Using causal analyses to add value to large Randomised Controlled Trials
Supervisors: Dr Deborah Ford, London & Dr Margaret May, Bristol
MRC CTU, London is a centre of excellence for clinical trials, meta-analyses and epidemiological studies. The School of Social and Community Medicine, Bristol is one of the UK's leading centres for research and teaching in population health sciences.
An excellent opportunity has arisen for a postdoctoral statistician to work in a cross-unit appointment funded by the MRC Population Health Sciences Research Network on a new project to identify how causal methods can be used to maximise value from randomised controlled trials (RCTs).
RCTs to address all key questions about patient management are infeasible. By careful application of causal methods it may be possible to address questions in addition to the randomised questions using the data already collected in trials; for example the impact of second-line treatments or concomitant medications prescribed at the clinician’s discretion may be estimated.. The project’s objectives are: (1) to develop “best practice” examples for a primer to guide statisticians working in clinical academia in the use of causal methods (relevant to RCTs and epidemiological studies); (2) to systematically survey the clinical literature, and conduct a scoping exercise at MRC CTU, to identify types of questions which causal models have most potential to answer in RCTs; (3) to apply causal inference methods to use RCT data to answer at least two new clinical questions, in order to provide high-profile examples of their value, as well as potentially refining existing statistical methods; (4) to disseminate best practice through workshops, based on (3), plus previous work in this field.
Candidates should have a PhD in Medical Statistics or closely related discipline. Relevant work experience in analysis of clinical trial or observational data would be an advantage. Candidates should have close familiarity with one or more statistical packages (preferably STATA or SAS), an interest in applying and developing new statistical methodologies, have good communication skills and possess initiative.
This is a full time position. The appointee would choose to be based in London or Bristol. On average they would spend 1 day/week in the other MRC Unit/Centre (fares covered), consequently they would have the opportunity to work in both units, gaining exposure to two diverse working environments, and with access to experts in causal inference methodology, clinical trialists, epidemiologists and clinicians. This is an MRC band 3 position in London or University grade J position in Bristol. Salary includes London Weighting and Central London Supplement if based in London. Benefits include 30 days annual leave per year (London) or 25 days annual leave plus 7 University closure days (Bristol), a contributory pension scheme and (if based in London) an interest free season ticket loan.
Applications are handled by the RCUK Shared Services Centre; for further information and to apply please visit: http://www.topcareer.jobs/Vacancy/irc78529_2651.aspx and click on APPLY. If you are unable to apply online please contact us on 01793 867003 quoting reference number IRC78529.
*********************************************************************************
This communication is confidential and may contain privileged information intended solely for the named recipient(s). It may not be used or disclosed except for the purpose for which it has been sent. If you are not the intended recipient, you must not copy, distribute, take any action or reliance on it. If you have received this communication in error, do not open any attachments but please notify the IS Service Desk by e-mailing [log in to unmask] quoting the sender details, and then delete this message along with any attached files. E-mail messages are not secure and attachments could contain software viruses which may damage your computer system. Whilst every reasonable precaution has been taken to minimise this risk, The MRC cannot accept any liability for any damage sustained as a result of these factors. You are advised to carry out your own virus checks before opening any attachments. Unless expressly stated, opinions in this message are those of the e-mail author and not of the Medical Research Council (MRC).
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========================================================================Date: Wed, 23 Jan 2013 17:34:00 +0000
Reply-To: Kelvin Jordan <[log in to unmask]>
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From: Kelvin Jordan <[log in to unmask]>
Subject: JOB: Research Associate / Fellow at Keele University (2 posts)
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Please see below an advert for 2 posts at either Research Associate or
Research Fellow level depending on qualifications and experience, to work
in randomised clinical trials and longitudinal observational studies at
Keele University
FACULTY OF HEALTH, INSTITUTE FOR PRIMARY CARE & HEALTH SCIENCES
ARTHRITIS RESEARCH UK PRIMARY CARE CENTRE
2 Posts
RESEARCH ASSOCIATE IN BIOSTATISTICS
Starting Salary: Grade 7, £30,122
OR
RESEARCH FELLOW IN BIOSTATISTICS
Starting Salary: Grade 8, £38,522
The Arthritis Research UK Primary Care Centre, at Keele has a thriving
research programme in Pain and Osteoarthritis, underpinned by high quality
clinical trials and observational studies, with linkage to medical records.
The Centre includes a multidisciplinary grouping of clinicians working
alongside epidemiologists, statisticians and social scientists, and our
funding framework gives us a strong remit to increase research capacity by
providing training opportunities and career support for early experience
researchers.
The Centre now wishes to appoint a Research Associate or Fellow (depending
on qualifications and experience) in Biostatistics with experience in
working in randomised controlled trials, who is interested in working with
an established group of biostatisticians in our thriving trials programme.
You will also have the opportunity to work on observational and clinical
epidemiology studies, and data from our high quality computerised medical
records from the Keele General Practice Research Partnership.
You should have a PhD or MSc (Research Associate) or equivalent experience
and publication record (Research Fellow) in a relevant discipline (e.g.
biostatistics, epidemiology, other subject with substantial quantitative
component) with experience of design and analysis of clinical trials.
Experience of applied statistical analysis - including analysis of trials
and use of statistical modelling is essential and you will have a high
level of computer and statistical software literacy (e.g. MS Office, SPSS,
Stata).
For more details and to apply, please visit: http://tinyurl.com/a6rbkej
Please quote post reference: RE13/01
Closing date for applications: 25 February 2013
For informal discussions about the posts please contact Dr Kelvin Jordan (
[log in to unmask]) or Dr Martyn Lewis ([log in to unmask])
Dr Kelvin Jordan
---------------------------------------------------------------
Reader in Biostatistics
Arthritis Research UK Primary Care Centre
Primary Care Sciences
Keele University
Keele, Staffs ST5 5BG
UK
Tel: (+44) 1782-733924
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========================================================================Date: Thu, 24 Jan 2013 08:28:31 +0000
Reply-To: David Firth <[log in to unmask]>
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From: David Firth <[log in to unmask]>
Subject: JOBS: EPSRC "i-like" programme, 5 research associates
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i-like Research Associates (5 posts)
£27,854 - £36,298 pa
Fixed Term Contract for 2 Years
Applications are invited for 5 Research Associate positions to
work on the EPSRC-funded programme "Intractable likelihood,
New Challenges for Modern Applications (i-like)".
The posts will be based at
Department of Statistics at the University of Warwick or
Department of Mathematics at the University of Bristol or
Department of Mathematics and Statistics at Lancaster University
or
Department of Statistics at Oxford University.
The i-like project is a large and broad statistical research
project tackling challenging research problems in statistical
inference for intractable likelihood. It involves the
collaboration of the above named institutions and will be led
by Gareth Roberts, Christophe Andrieu, Paul Fearnhead,
David Firth and Chris Holmes.
Applicants are advised that they should apply directly to the
institution where they wish to be based. Start dates will be
agreed with the appointed candidates. Details of how to do
this and further information on how to apply can be obtained
from the following webpage:
http://www.i-like.org.uk/recruitment
Informal enquires can be made to any of:
Professor Gareth Roberts <[log in to unmask]>
Professor David Firth <[log in to unmask]>
Professor Christophe Andrieu <[log in to unmask]>
Professor Paul Fearnhead <[log in to unmask]>
Professor Chris Holmes <[log in to unmask]>
Further information on the "i-like" project:
http://www.i-like.org.uk
All applicants should ensure that their referees send a letter
of reference by email to Paula Matthews <[log in to unmask]>
(Department Administrator, Statistics, Warwick) by the closing
date.
The closing date/time for applications is midnight (British time)
at the end of Thursday 28 February 2013.
--
Professor David Firth
http://go.warwick.ac.uk/dfirth
(for the i-like team)
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========================================================================Date: Thu, 24 Jan 2013 10:19:30 +0000
Reply-To: James Carrera <[log in to unmask]>
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From: James Carrera <[log in to unmask]>
Subject: HOME BASED: 9 x Statistical SAS Programmers - Can be based
anywhere in Mainland Europe
In-Reply-To: <[log in to unmask]>
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For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to [log in to unmask] For a confidential consultation call James Carrera on 0044 (0) 207 255 6665 or email your CV to
[log in to unmask] HOME BASED: 9 x Statistical SAS Programmers
Can be based anywhere in Mainland Europe 6 month rolling contracts Provide programming support and validation of analysis data sets, pooled datasets, statistical summary tables, figures and patient data listings for phase I - phase
III clinical trials, ISS & ISE, primarily using SAS. Accountabilities/Responsibilities: * Provide output for the Clinical Study Report, the Integrated Summary of Safety (ISS), the Integrated Summary of Efficacy (ISE) and electronic submissions. * You will work with biostatisticians and programmers based also in other sites globally. * This position will require a significant training investment for the use of client specific processes / procedures in particular, SAS macros, creation of analysis
data sets and dataset structures. Need for ensuring standardization of programs where applicable. * Apply knowledge of clinical data, the design and phases of clinical trials, statistics, relevant regulations and the pharmaceutical industry to the implementation
of tasks. * Handle complex statistical programming issues independently and be familiar with study programming issues. Bring ideas for new projects and take the initiative
to solve issues. Essential Skills & Capabilities: At least 3-4 years Statistical SAS programming experience with prior experience in pharmaceutical related field is required. Working knowledge of clinical legislation (FDA, EMEA), Good Clinical Practice (GCP) and Clinical Data Interchange Standards Consortium (CDISC). For further details or a confidential conversation please contact me directly:
James Carrera Associate Director
– SEC Pharma Statistics, Biostatistics & Programming Pharmaceutical, Healthcare & CRO Division
Tel: +44 (0) 207 255 6665 http://uk.linkedin.com/in/jamescarrera to transmit information by or to SEC Recruitment Limited.
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========================================================================Date: Thu, 24 Jan 2013 10:55:25 +0000
Reply-To: Mark Mullee <[log in to unmask]>
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From: Mark Mullee <[log in to unmask]>
Subject: JOB - Senior Medical Statistician, University of Southampton
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A Senior Medical Statistician with expertise in clinical trials is required to work jointly with the University of Southampton Clinical Trials Unit (UoSCTU) and Research Design Service (RDS) South Central. This is a newly established post, located in the School of Medicine, University of Southampton.
For further details and to apply online please visit:
https://www.jobs.soton.ac.uk/Vacancy.aspx?ref=196313LG
Potential applicants wishing to discuss the post informally may contact Mark Mullee: 023 8079 4778 [log in to unmask]; or Diana Eccles: 023 8079 5160/5154 [log in to unmask]
The closing date for applications is 6 February 2013.
Mark Mullee BSc (Hons) MSc CStat MSc
Director
National Institute for Health Research
Research Design Service South Central
Level C (805)
Southampton General Hospital
Southampton
SO16 6YD
Tel: +44 (0)23 8079 6557 / 4778
Fax: +44 (0)23 8079 6529
E-mail: [log in to unmask]
www.rds-sc.nihr.ac.uk
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========================================================================Date: Thu, 24 Jan 2013 12:42:57 +0000
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From: Leslie Daly <[log in to unmask]>
Subject: JOB: Biostatistician in University College Dublin
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Vacancy for Biostatistician - University College Dublin (UCD)
Ref No: 005677
CSTAR, the Centre for Support and Training in Analysis and Research, has been in existence since 2009. Originally supported by the Health Research Board, CSTAR is now independent of external funding. It has been recently recognised as an official UCD Academic Centre.
The aim of the centre is to strengthen research quality by providing advice, consultancy and education in research methodologies to health researchers in Ireland. The remit of CSTAR includes the areas of study design, protocol development, statistical analysis plans, project management, data collection, statistical analysis and report writing. CSTAR is located in the School of Public Health, Physiotherapy and Population Science on the Belfield campus of University College Dublin.
CSTAR now has a vacancy for a Biostatistician (Research Scientist). The post holder will be part of a core team which will fulfil the remit of the centre.
Salary: €28,500-€45,000 per annum
Appointment on the above range will be dependent on qualifications and experience.
Closing date: 7th February 2013
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 11:30pm GMT on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CV's submitted by Recruitment Agencies will be returned.
For full details either:
(1) Go to
https://hrweb.ucd.ie/pls/corehrrecruit/erq_search_package.search_form?p_company=1&p_internal_external=E
(Paste into browser if necessary)
or
(2) Go to UCD Web site
Http://www.ucd.ie
and click on 'Job Vacancies' on the left hand menu.
Then click on 'Job Vacancies for External Applicants' button.
In either case please enter the Reference Number '005677' (with leading zeros) in the large search box
Informal enquiries to [log in to unmask]
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========================================================================Date: Thu, 24 Jan 2013 14:24:34 +0000
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From: "Spencer, Neil" <[log in to unmask]>
Subject: Short courses in Statistics at the University of Hertfordshire
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University of Hertfordshire Statistical Services and Consultancy Unit
http://go.herts.ac.uk/sscu
*** COURSES IN 2013 *** COURSES IN 2013 *** COURSES IN 2013 ***
We are pleased to be able to offer places on the following courses.
Getting Started with Stats
20th Feb 2013
Comparing Groups
6th Mar 2013
Relationships in Data
20th Mar 2013
Starter Course in Statistics
12th-13th June 2013
Essential Data Analysis
19th-20th June 2013
Intermediate/Refresher Course in Statistics
25th-27th June 2013
Higher Course in Statistics
3rd-4th July 2013
Introduction to Multilevel Modelling
10th July 2013
Further Multilevel Modelling
11th July 2013
Practical Business Forecasting: A First Course
16th-17th July 2013
Practical Business Forecasting: A Further Course
18th July 2013
For further details of these courses, fees and a link to our online application process, please see below and at http://go.herts.ac.uk/sscu (click on "Short Courses in Statistics" 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.
STARTER COURSE IN STATISTICS
This course is aimed at all who need to learn about the very basics of analysing, presenting statistical data and questionnaire design. No prior knowledge of statistics is assumed. Anyone who needs to deal with data in their work should be able to participate fully.
ESSENTIAL DATA ANALYSIS
This course is aimed at all who have groups in their data that need to be compared and contrasted or 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 topics in hypothesis testing, simple and multiple regression.
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.
INTRODUCTION TO MULTILEVEL MODELLING
This course is aimed at those researchers whose data have a hierarchical structure such as pupils grouped in schools, patients grouped within GP practices, etc. For this sort of data, traditional regression methods are inappropriate because the assumption of independence of cases is violated. This course will introduce participants to the use of multilevel modelling for continuous responses, including the package MLwiN. It is assumed that delegates on this course will have a knowledge of traditional regression techniques.
FURTHER MULTILEVEL MODELLING
This course carries on from the Introduction to Multilevel Modelling course and concentrates on models for more complex outcomes such as binary and ordinal responses. The package MLwiN is again used. It is assumed that delegates on this course have a knowledge equivalent to having attended the Introduction to Multilevel Modelling course.
PRACTICAL BUSINESS FORECASTING: A FIRST COURSE
This course is aimed at all who need to learn about the role played by forecasting in modern business. It teaches the practical use of the most common forecasting methods and subsequent presentation of results to a business audience.
PRACTICAL BUSINESS FORECASTING: A FURTHER COURSE
This course teaches the practical use of the more commonly used extended/advanced forecasting techniques which will enhance the quality of business forecasts in both the public and private sectors.
Details of fees, discounts, etc. are available by clicking on "Short Courses in Statistics" at the web site http://go.herts.ac.uk/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
=======================================================================
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit
Hertfordshire 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 285455
E-mail: [log in to unmask] University of Hertfordshire Statistical Services and Consultancy Unit We are pleased to be able to offer places on the following courses. Getting Started with Stats 20th Feb 2013 Comparing Groups 6th Mar 2013 Relationships in Data 20th Mar 2013 Starter Course in Statistics 12th-13th June 2013 Essential Data Analysis 19th-20th June 2013 Intermediate/Refresher Course in Statistics 25th-27th June 2013 Higher Course in Statistics 3rd-4th July 2013 Introduction to Multilevel Modelling 10th July 2013 Further Multilevel Modelling 11th July 2013 Practical Business Forecasting: A First Course 16th-17th July 2013 Practical Business Forecasting: A Further Course 18th July 2013 STARTER COURSE IN STATISTICS INTRODUCTION TO MULTILEVEL MODELLING This course is aimed at those researchers whose data have a hierarchical structure such as pupils grouped in schools, patients grouped within GP practices, etc. For this sort of data, traditional regression methods are inappropriate because the assumption of independence of cases is violated. This course will introduce participants to the use of multilevel modelling for continuous responses, including the package MLwiN. It is assumed that delegates on this course will have a knowledge of traditional regression techniques. FURTHER MULTILEVEL MODELLING This course carries on from the Introduction to Multilevel Modelling course and concentrates on models for more complex outcomes such as binary and ordinal responses. The package MLwiN is again used. It is assumed that delegates on this course have a knowledge equivalent to having attended the Introduction to Multilevel Modelling course. This course is aimed at all who need to learn about the role played by forecasting in modern business. It teaches the practical use of the most common forecasting methods and subsequent presentation of results to a business audience. PRACTICAL BUSINESS FORECASTING: A FURTHER COURSE This course teaches the practical use of the more commonly used extended/advanced forecasting techniques which will enhance the quality of business forecasts in both the public and private sectors. Details of fees, discounts, etc. are available by clicking on "Short Courses in Statistics" at the web site http://go.herts.ac.uk/sscu. ======================================================================= Hertfordshire Business School, University of Hertfordshire, de Havilland Campus, Hatfield, Hertfordshire, AL10 9AB, U.K. Statistical Services and Consultancy Unit Contact Details: Personal Contact Details: getstats - A society in which our lives and choices are enriched by an understanding of statistics. Go to http://www.getstats.org.uk for more information. =======================================================================
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========================================================================Date: Fri, 25 Jan 2013 10:21:05 +0000
Reply-To: "Pye, Karen (pyek2)" <[log in to unmask]>
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From: "Pye, Karen (pyek2)" <[log in to unmask]>
Subject: CONFERENCE: RSC 2013 - 1 WEEK LEFT!!!
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The Research Student's Conference 2013 is to be held in Lancaster University on March 25th-28th.
The conference is run by students, for students, and is therefore a friendly relaxed environment to meet fellow PhD students, present work or just catch up with old friends while learning about new research.
The conference is for all research students within Statistics, Probability and (for the first time) Applied Social Statistics.
More information about the conference can be found at http://www.maths.lancs.ac.uk/~rsc2013/
Please note that there is only 1 WEEK LEFT to register and pay for the conference so don't miss out!
On behalf of the organising committee,
Karen Pye
(RSC 2013 Committee Chair)
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========================================================================Date: Fri, 25 Jan 2013 11:50:34 +0000
Reply-To: Gail Kniveton <[log in to unmask]>
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From: Gail Kniveton <[log in to unmask]>
Subject: JOB: Project Statistician - Berskshire
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Title: Project Statistician
Location: Berkshire, UK
Salary: up to £65k DOE
Type: Permanent with some home working available
Small to mid-sized clinical trials organisation with an excellent
reputation within industry and strong presence in the EEA, seeking an
experienced Project Statistician to work across several projects and phases
over a number of Therapy areas. Particular interest and majority focus of
work is within Observational studies so experience or a keen in interest in
this area is favourable.
This role would suit an experienced senior/project statistician keen to
work within a smaller organisation where your skills and experience are of
great influence. Fantastic salary as organisation's ethos is to reward
those highly for their input. Working side by side with Directors, you will
gain great insight into the inner working of a business as well as further
technical understanding within statistics. The company is growing so
fantastic time to join as this role will further progress your career.
Role & Responsibilities
• Oversee and participate in the statistical support provided across all
work requiring statistical input; with a particular focus on observational
studies
• Participates in all aspects of client-related work; proposal preparation,
protocol and statistical analysis plan development, conducting the required
statistical analysis, providing and interpreting to the client the results
of the analysis.
• Proactively participates in the department of statistics development
activities – reviewing/ developing new SOPs; developing the needed document
templates; proposing approaches to enhance our interactions with clients
Strong expertise in a wide range of statistical methodologies, and ability
to identify and pursue adaptation or development of new methodology
• Significant experience in addressing all statistical aspects of
observational studies
• Experience working at CROs and having direct involvement on
client-related projects
• Strong leadership, organizational and time-management skills
• Good understanding of areas supported by statistics
• Excellent communication skills
Education and Experience
MSc or Ph.D. in Statistics (or equiv) with significant industry experience,
ideally within a CRO
Experience working with Observational studies a plus
Excellent written and spoken English
Must be eligible to work in the EEA
For further information please call 0208 985 0565 or email
[log in to unmask]
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Follow us for all the latest job updates, follow us on
Linkedin Title: Project Statistician Location: Berkshire, UK
Salary: up to £65k DOE Type: Permanent with some home working available Small to mid-sized clinical trials organisation with an excellent reputation within industry and strong presence in the EEA, seeking an experienced Project Statistician to work across several projects and phases over a number of Therapy areas. Particular interest and majority focus of work is within Observational studies so experience or a keen in interest in this area is favourable. Experience working with Observational studies a plus
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========================================================================Date: Fri, 25 Jan 2013 07:46:44 -0500
Reply-To: Geoffrey Hubona <[log in to unmask]>
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From: Geoffrey Hubona <[log in to unmask]>
Subject: LEARN SmartPLS ONLINE: SEM-n-R
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Learn PLS Path Modeling from well-published International experts.
In online courses designed and taught by them, available 24/7 over 9 months.
For $245-$295 total (early registration) to take all 14 courses.
http://pls-institute.org/SEM-n-R.html
Questions to [log in to unmask]
Geoff Hubona
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Learn PLS Path Modeling from well-published International experts. Questions to [log in to unmask] Geoff Hubona
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========================================================================Date: Fri, 25 Jan 2013 13:14:17 +0000
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From: "Lancaster, Gillian" <[log in to unmask]>
Subject: ANNOUNCE: International poster competition to help children
engage with stats
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Please circulate to any teachers who may find this of interest
-------------------------------
International poster competition launched to help children engage with stats
The competition asks children to design a one-page poster that tells a story about a set of data. It should include graphs, commentary on the meaning of the data, be attractive and also readable from a distance of two metres.
This year, children are invited to design a poster relating to the general theme of Agriculture. The posters are judged in two age groups: 11-15 year-olds and 16-18-year-olds. Examples of winning entries from previous years can be viewed at
http://iase-web.org/islp/Competitions.php?p=Poster_Competition_2010-2011 .
The competition comprises a national competition within each country involved, followed by an international competition to determine the overall winners. This year, these will be announced and the posters displayed at the 59th Congress of the ISI in Hong Kong during August 2013.
Registration has begun and teachers need to register their students for the competition by following this link http://iase-web.org/islp/
More information for teachers about the UK competition is found here http://www.maths.lancs.ac.uk/department/info/international-statistics-poster-competition-for-schools-launches/
The deadline for the submission of posters is 15 March 2013.
More information may be obtained from the ISLP website above or from the country coordinators, Gillian Lancaster ([log in to unmask] Please circulate to any teachers who may find this of interest ------------------------------- International poster competition launched to help children engage with stats The competition asks children to design a one-page poster that tells a story about a set of data. It should include graphs, commentary on the meaning of the data, be attractive and also readable from a distance of two metres. This year, children are invited to design a poster relating to the general theme of
Agriculture. The posters are judged in two age groups: 11-15 year-olds and 16-18-year-olds. Examples of winning entries from previous years can be viewed at The competition comprises a national competition within each country involved, followed by an international competition to determine the overall winners. This year, these will be announced and the posters displayed at the 59th Congress
of the ISI in Hong Kong during August 2013. Registration has begun and teachers need to register their students for the competition by following this link
http://iase-web.org/islp/
More information for teachers about the UK competition is found here
http://www.maths.lancs.ac.uk/department/info/international-statistics-poster-competition-for-schools-launches/ The deadline for the submission of posters is 15 March 2013.
More information may be obtained from the ISLP website above or from the country coordinators, Gillian Lancaster ([log in to unmask]) and James Groves.([log in to unmask])
Also sponsored by RSS GetStats campaign
http://www.getstats.org.uk/resources/islp-schools-poster-competition/
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========================================================================Date: Fri, 25 Jan 2013 09:20:16 -0500
Reply-To: Andrew Lawson <[log in to unmask]>
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From: Andrew Lawson <[log in to unmask]>
Subject: Bayesian Biostatistics courses May 2013 MUSC
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*Bayesian Biostatistics short Courses 2013*
A course sequence of 2 workshops will be presented during the MUSC
Summer Institute on Research Methodology. The sequence will consist of
an Introductory Bayesian Biostatistics course (IBB), and an Advance
Bayesian Biostatistics course (ABB). The IBB course is designed to
provide a basic grounding in Bayesian modeling methods and hands-on
experience with WinBUGS and demonstration of SAS capabilities. The ABB
course will cover specific application areas in more depth and is
designed to be a continuation of the IBB course.
Bayesian Biostatistics: an Introduction (May 6th - 7th)
Topics covered
* What is Bayesian Biostatistics;
* Bayesian Basics: likelihood, priors, posterior
* Hierarchical models; DAGS; Posterior sampling; MCMC;
* Examples comparing conventional and Bayesian analyses will be covered
* Demo of basic examples in WinBUGS and SAS
* Hands – on with R and WinBUGS
* Random effect models: LMM and GLMM
* Other software: R2WinBUGS, OpenBUGS, BRugs, JAGS, INLA
Bayesian Biostatistics: Advanced (May 9th – 10th)
Topics covered
* Parametric survival modeling and cox regression
* Longitudinal modeling
* Measurement error
* Handling missing data
- Forms of missingness and solutions
- Joint models for drop-out
* Special topics:
- Imaging/disease mapping
- Variable selection
- INLA examples
Presenters:
Professor Andrew B. Lawson
Professor Mulugeta Gebregziabher
-------------------------------------------------------------------------------------------------------------------------------------
This is one of the workshops in the Summer Institute held at MUSC in
May/June 2013
For more details of the courses available please refer to:
Registration:
Course fee: The IBB course fee includes the text, Lesaffre, E. and
Lawson, A. B. (2012) Bayesian Biostatistics, Wiley , New York from which
many examples are taken. The fee is $600.
The fee for the ABB course is $600. If both courses are attended then
the fee is discounted to $1000.
Registration forms and brochure are available at:
http://academicdepartments.musc.edu/dbe/seminars/Summer
Institute/SummerInstitute_2013.pdf
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========================================================================Date: Fri, 25 Jan 2013 15:35:13 +0000
Reply-To: Laura Gray <[log in to unmask]>
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From: Laura Gray <[log in to unmask]>
Subject: JOB: Statistician,
Leicester Clinical Trials Unit - deadline approaching
In-Reply-To: <[log in to unmask]>
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Salary Grade 7 - £31,331 to £36,298 per annum,
At Leicester we’re going places. Ranked in the top 20 universities in Britain our aim is to climb further. A commitment to high quality fused with an inclusive academic culture is our hallmark and led the Times Higher Education to describe us as “elite without being elitist”.
Your role will be to assist the Leicester Clinical Trials Unit (LCTU) by carrying out statistical analysis, including exploring novel methods, and under the supervision of the Senior Lecturer in Medical and Clinical Trials Statistics and CTU Director, will be expected to work closely with the East Midlands Research Design Service, CTU Operations Director, and undertake an element of independent research.
Informal enquiries are welcome and should be made to Sue Enright on [log in to unmask] or 0116 249 4537 or 0795 8066 929.
The closing date for this post is midnight on 31st January 2013
See http://www.le.ac.uk/jobs/external/MBP00777_Further_Particulars.pdf for more information
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========================================================================Date: Sun, 27 Jan 2013 06:21:11 +0000
Reply-To: Chaitanya Joshi <[log in to unmask]>
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From: Chaitanya Joshi <[log in to unmask]>
Subject: Reminder: JOB: Lecturer in Statistics, University of Waikato,
Hamilton, NZ
In-Reply-To: <[log in to unmask]>
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Closing date for this job is31st Jan NZ time.
-
Chaitanya Joshi.
----- Forwarded Message -----
From: Chaitanya Joshi <[log in to unmask]>
To: "[log in to unmask]" <[log in to unmask]>
Sent: Thursday, 6 December 2012, 11:46
Subject: JOB: Lecturer in Statistics, University of Waikato, Hamilton, NZ
Lecturer in Statistics
Full/Part Time: Full-Time
Permanent/Fixed Term: Permanent
University of Waikato, NZ.
We
invite applications from suitably qualified candidates for a continuing
position as Lecturer in the Department of Statistics.
You
will have a PhD in Statistics (or equivalent), and will have demonstrated the
ability to sustain a successful teaching and research career. Conducting
independent research and contributing to the teaching and development of the
Department’s undergraduate and graduate papers will be expected and there will
also be opportunities to participate in the Department’s consultancy services.
Current
salary range for Lecturers is NZ$66,677 to $81,406 per year, depending on
qualifications, skills and experience. The start date will ideally be 1July
2013 or by negotiation.
Enquiries
of an academic nature should be directed to the Chairperson, Department of
Statistics, Dr Lynette Hunt, email: [log in to unmask]
Further
information about the Department is available at www.stats.waikato.ac.nz
Closing
date: 31 January 2013 (NZ time) Vacancy number: 320345 For
more information and to apply, visit www.jobs.waikato.ac.nz
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========================================================================Date: Mon, 28 Jan 2013 13:35:51 +1300
Reply-To: Nicola Petty <[log in to unmask]>
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From: Nicola Petty <[log in to unmask]>
Organization: Creative Heuristics Ltd
Subject: BLOG: Journalists should learn statistics
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Hi all
Stating the obvious I'm afraid.
http://learnandteachstatistics.wordpress.com/2013/01/28/journalists/
Thanks for all the great comments on last week's post.
Nicola
Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901
_____
See my blog: Learn and Teach Statistics and Operations Research
Hi all Stating the obvious I’m afraid. http://learnandteachstatistics.wordpress.com/2013/01/28/journalists/ Thanks for all the great comments on last week’s post. Nicola See my blog: Learn and Teach Statistics and Operations Research
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========================================================================Date: Mon, 28 Jan 2013 09:33:53 -0000
Reply-To: Caroline Brophy <[log in to unmask]>
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From: Caroline Brophy <[log in to unmask]>
Subject: Conference in Ireland: CASI 2013 - abstract submission and
registration now open
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Dear AllStat,
The organising committee for the Conference on Applied Statistics in Ireland (CASI) 2013 are delighted to announce that abstract submission and registration are now open. The conference details are available at www.casi.ie.
Conference dates: 15th - 17th May 2013 in the Westgrove Hotel, Clane, Co Kildare, Ireland (approx 40 minutes drive from Dublin airport).
Invited speakers: Andreas Buja (Pennsylvania), Trevor Hastie (Stanford), Friedrich Leisch (Vienna), Marian Scott (Glasgow) (www.casi.ie/CASI_2013/invited_speakers.html).
Abstract submission: We welcome abstracts from all areas in Statistics. The deadline for abstract submission is Friday 15th March 2013 (www.casi.ie/CASI_2013/call_for_papers.html).
Registration: The early bird registration deadline is Friday 5th April 2013 (www.casi.ie/CASI_2013/registration.html).
Kind Regards,
Caroline Brophy
Chair of Organising Committee
--------------------------------------------------------------------------
Dr Caroline Brophy
Department of Mathematics & Statistics
National University of Ireland Maynooth
Maynooth
Co Kildare
Ireland
Phone: +353 1 7083914
Webpage: www.maths.nuim.ie/cbrophypersonal
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========================================================================Date: Mon, 28 Jan 2013 09:47:25 +0000
Reply-To: Peter Watson <[log in to unmask]>
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From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: REMINDER OF NEXT WEEK'S CAMBRIDGE STATISTICS DISCUSSION
GROUP TALK - ALL WELCOME!
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THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Monday 4th February 2013 7:15 for 7:45
The Statistical Laboratory,
Centre for Mathematical Sciences,
Wilberforce Road, Cambridge, CB3 0WB
The Early Years of the Medical Research Council's Biostatistics Unit: Science and People
Vern Farewell
MRC Biostatistics Unit
Abstract: The Medical Research Council's (MRC) Biostatistics Unit is approaching its centenary, having been established in 1914. In the UK, the development of medical statistics as a discipline has been closely linked to the Unit's development. In this talk, I will consider the scientific and political contexts which contributed to the
establishment of the Unit. In addition, the lives and work of the first two Directors of the Unit, John Brownlee and Major Greenwood, will be discussed. Their scientific contributions and leadership roles will be highlighted. The roles of two other members of the Unit during these early years will also be examined, one individual well known, Austin Bradford Hill, and one less well known, Hilda Mary Woods.
Speaker: Prior to moving to the MRC Biostatistics Unit in 2001, Vern Farewell held professorial positions at the University of Washington, the University of Waterloo and University College London. He has published widely in the statistical and medical literature and is co-author of the four editions of the book "Using and Understanding Medical Statistics". Since 2007, he has been Editor of "Statistics in Medicine". His current research has a primary focus on the analysis of observational longitudinal data.
Directions: The main entrance is reached from Clarkson Road by going along the 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 and a curved grassed roof. The main entrance is in the middle of the glass front. Coffee before the talk will be in the common room in Pavilion D, and the talk will be in Meeting Room 4 in Pavilion A. Free parking is available after 5pm on Clarkson and Wilberforce Roads.
Provisional Next Meetings:
5th March - Peter Treasure (Easter Cancer Registry and Information Centre & Department of Public Health and Primary Care).
25th March - Stephen Kaptoge (Cardiovascular Epidemiology Unit).
25th April - David Greenberg (Eastern Cancer Registration & Information Centre).
15th October - Mike Bithell (Geography).
25th November - James Wason (MRC Biostatistics).
Supper: Some members eat before a talk at the University Centre meeting in the downstairs bar at 6pm. All welcome !
Subscriptions: of 1 pound are now due for attending the 2012-2013 session.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF;
telephone 01223 355294 Extension 801; E-mail [log in to unmask] THE CAMBRIDGE STATISTICS DISCUSSION GROUP Monday 4th February 2013 7:15 for 7:45 The Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WB The Early Years of the Medical Research Council's Biostatistics Unit: Science and People Directions:
The main entrance is reached from Clarkson Road by going along the 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 and a curved grassed roof. The main entrance is in the middle of the glass front. Coffee before the talk will be in the common room in Pavilion D, and the talk will be in Meeting Room 4 in Pavilion A.
Free parking is available after 5pm on Clarkson and Wilberforce Roads.
Provisional Next Meetings:
5th March – Peter Treasure (Easter Cancer Registry and Information Centre & Department of Public Health and Primary Care).
25th March – Stephen Kaptoge
(Cardiovascular Epidemiology Unit).
25th April – David Greenberg (Eastern Cancer Registration & Information Centre). 15th October – Mike Bithell (Geography). Supper: Some members eat before a talk at the University Centre meeting in the downstairs bar at 6pm. All welcome ! Subscriptions:
of 1 pound are now due for attending the 2012-2013 session. Secretary:
Peter Watson, MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF; telephone 01223 355294 Extension 801; E-mail
[log in to unmask] Take a look at our website:
http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg.html (soon moving to
http://cbsu.mrc-dev.org/people/peter.watson/csdg.html)
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========================================================================Date: Mon, 28 Jan 2013 10:55:07 +0000
Reply-To: Julia Trusler <[log in to unmask]>
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From: Julia Trusler <[log in to unmask]>
Subject: Health Data Analyst position at the British Orthopaedic
Association
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Dear All
The BOA is currently recruiting for a Health Data Analyst position.
This is an exciting time for the organisation as we are embarking on the implementation of a new strategy, which has resulted in the creation of our Policy and Programmes department. Through this strategy, we are seeking to increase our policy influence in Westminster and Whitehall, providing a stronger voice for orthopaedic surgeons and their patients, as well as re-invigorating our approach to research, clinical practice and training and education.
A data analyst is required to support the work of the newly formed department, in sourcing, interpreting and presenting data to draw upon in our strategies and communications.
Salary: £30-35,000 (depending on experience)
Location: London
Hours: Full time
Duration: 12 months
More details available online at: http://www.statsjobs.com/jobs/boa-health-data-analyst/
Best wishes
Julia Trusler
Deputy CEO, BOA
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========================================================================Date: Mon, 28 Jan 2013 11:20:50 +0000
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From: "BUJKIEWICZ, Sylwia (Dr.)" <[log in to unmask]>
Subject: Biostatistics Seminars, University of Leicester
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Biostatistics Seminar Series
Department of Health Sciences
University of Leicester
Spring Term 2013
Seminars in Spring Term take place at 1pm, in Charles Wilson, Second Floor Lecture Theatre Belvoir Park Lounge
Thursday 7 February: Dr Jack Bowden, MRC Biostatistics Unit Cambridge. "Adaptive clinical trial designs incorporating mid-trial sample size adjustment".
Thursday 28 February: Dr Andrew Morris, Wellcome Trust Centre for Human Genetics, Oxford. "Trans-ethnic meta-analysis for discovery and fine-mapping".
Thursday 14 March: Dr Rebecca Turner, MRC Biostatistics unit, Cambridge. "Making use of external information on heterogeneity and biases in meta-analysis".
Abstracts will be available on our webpage:
http://www2.le.ac.uk/departments/health-sciences/research/biostats/biostatistics-seminars
Summer Term 2013 (venue TBA)
Thursday 2 May: Dr Richard Riley, University of Birmingham (title TBA)
Thursday 13 June: Prof Nigel Stallard, University of Warwick (title TBA)
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Biostatistics Seminar Series Department of Health Sciences University of Leicester Spring Term 2013 Seminars in Spring Term take place at 1pm, in Charles Wilson, Second Floor Lecture Theatre Belvoir Park Lounge Thursday 7 February: Dr Jack Bowden, MRC Biostatistics Unit Cambridge. "Adaptive clinical trial designs incorporating mid-trial sample size adjustment". Thursday 28 February: Dr Andrew Morris, Wellcome Trust Centre for Human Genetics, Oxford. "Trans-ethnic meta-analysis for discovery and fine-mapping". Thursday 14 March: Dr Rebecca Turner, MRC Biostatistics unit, Cambridge. "Making use of external information on heterogeneity and biases in meta-analysis". Abstracts will be available on our webpage: http://www2.le.ac.uk/departments/health-sciences/research/biostats/biostatistics-seminars Summer Term 2013 (venue TBA) Thursday 2 May: Dr Richard Riley, University of Birmingham (title TBA) Thursday 13 June: Prof Nigel Stallard, University of Warwick (title TBA)
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========================================================================Date: Mon, 28 Jan 2013 11:57:26 +0000
Reply-To: Simon Bond <[log in to unmask]>
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From: Simon Bond <[log in to unmask]>
Subject: Research Associate - University of Cambridge
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Research Associate - Applied Statistics
------------------------------
The University of Cambridge is seeking a high calibre individual with a
background in applied statistics or epidemiology to join the Cardiovascular
Theme of the newly accredited Cambridge Clinical Trials Unit, based within
the School of Clinical Medicine. The Cambridge Clinical Trials Unit is
located on the Addenbrooke's Biomedical Campus in Cambridge, and works
closely with local investigators from the University of Cambridge,
Cambridge University Hospitals NHS Foundation Trust and Cambridge and
Peterborough Foundation Trust to develop and delivery high quality clinical
trials.
The Unit has a diverse portfolio of over 40 trials, encompassing a
broad-range of disease areas including oncology, cardiovascular medicine,
paediatrics, vasculitis and radiology, and has recently been registered by
the NIHR. This new post is designed to strengthen the cardiovascular theme
within the trials unit. The cardiovascular theme is currently running a
number of interventional and observational trials, and a key objective of
the new post is to lead the analysis for 2 ongoing trials funded by the
Technology Strategy Board and British Heart Foundation - one an RCT of a
novel therapy and the other a cohort study. The post-holder will also be
expected to work with chief investigators and other team members, but will
have time to develop their own research portfolio.
Applicants should have a higher degree; at least an MSc in applied
statistics, statistics, epidemiology, or a related field in quantitative
biomedical research, and be interested in applying their knowledge and
skills in the cardiovascular area. The successful applicant will be given
support in seeking independent research funding, and will also have a role
in supporting teaching and training within the Trials Unit and Medical
School.
This advert has been previously advertised (RC00727 and RC00603). Previous
applicants need not apply.
Informal enquiries should be directed to Ian Wilkinson, Director of the
Clinical Trials Unit, via Angela Loveridge (
[log in to unmask] ; tel 01223336806).
Fixed-term: The funds for this post are available for 2 years in the first
instance.
To apply, you should email your completed CHRIS 6 application form in MS
WORD (including details of three referees who may be consulted before
interview), covering letter, Curriculum Vitae, FPS Form, CCT Form and
Declaration Form to [log in to unmask] by Sunday 24th February
2013.
A CHRIS/6 form is available to download from
http://www.admin.cam.ac.uk/offices/hr/forms/chris6/
This appointment is subject to a health assessment. Whether an outcome is
satisfactory will be determined by the University. The University values
diversity and is committed to equality of opportunity. The University has a
responsibility to ensure that all employees are eligible to live and work
in the UK.
Quote reference: RC00727
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The University of Cambridge is seeking a high calibre individual with
a background in applied statistics or epidemiology to join the
Cardiovascular Theme of the newly accredited Cambridge Clinical Trials
Unit, based within the School of Clinical Medicine.
The Cambridge Clinical Trials Unit is located on the Addenbrooke's
Biomedical Campus in Cambridge, and works closely with local
investigators from the University of Cambridge, Cambridge University
Hospitals NHS Foundation Trust and Cambridge and Peterborough Foundation
Trust to develop and delivery high quality clinical trials. The Unit has a diverse portfolio of over 40 trials, encompassing a
broad-range of disease areas including oncology, cardiovascular
medicine, paediatrics, vasculitis and radiology, and has recently been
registered by the NIHR. This new post is designed to strengthen the
cardiovascular theme within the trials unit.
The cardiovascular theme is currently running a number of interventional
and observational trials, and a key objective of the new post is to
lead the analysis for 2 ongoing trials funded by the Technology Strategy
Board and British Heart Foundation - one an RCT of a novel therapy and
the other a cohort study. The post-holder will also be expected to work
with chief investigators and other team members, but will have time to
develop their own research portfolio. Applicants should have a higher degree; at least an MSc in applied
statistics, statistics, epidemiology, or a related field in quantitative
biomedical research, and be interested in applying their knowledge and
skills in the cardiovascular area.
The successful applicant will be given support in seeking independent
research funding, and will also have a role in supporting teaching and
training within the Trials Unit and Medical School. This advert has been previously advertised (RC00727 and RC00603). Previous applicants need not apply. Informal enquiries should be directed to Ian Wilkinson, Director of the Clinical Trials Unit, via Angela Loveridge ([log in to unmask] ; tel 01223336806). Fixed-term: The funds for this post are available for 2 years in the first instance. To apply, you should email your completed CHRIS 6 application form in
MS WORD (including details of three referees who may be consulted
before interview), covering letter, Curriculum Vitae, FPS Form, CCT Form
and Declaration Form to [log in to unmask] by Sunday 24th February 2013. A CHRIS/6 form is available to download from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/ This appointment is subject to a health assessment. Whether an
outcome is satisfactory will be determined by the University. The
University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are
eligible to live and work in the UK. Quote reference: RC00727
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to [log in to unmask], leaving the subject line blank.
--f46d040714a714a33604d457fbef--
========================================================================Date: Mon, 28 Jan 2013 12:08:32 +0000
Reply-To: Angie Dickson <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: Angie Dickson <[log in to unmask]>
Organization: The University of Edinburgh
Subject: AQMeN Research Fellow Opportunity
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Dear Allstat
Applications are invited for a full-time Research Fellow to join AQMeN
(Applied Quantitative Methods Network), a Research Centre that aims to
develop a dynamic and pioneering set of projects using quantitative data
that will improve our understanding of current social issues in the UK
and provide policy makers and practitioners with the evidence to build a
better future.
There are three opportunities available - two posts will be based in the
School of Law, University of Edinburgh and a third post will be based in
the Moray House School of Education, University of Edinburgh.
For full details and how to apply, please visit: www.vacancies.ed.ac.uk
and enter the vacancy reference number listed below:
AQMeN Research Fellow (Law) - 009250
AQMeN Research Fellow (Education) - 009664
For further information on AQMeN, please visit: www.aqmen.ac.uk
------------------------------------------
Angie Dickson
AQMeN - Marketing & Communications Officer
The University of Edinburgh
15 Buccleuch Place
Edinburgh, EH8 9LN
Tel: 0131 650 2128
Email: [log in to unmask]
Twitter: @aqmennetwork
Web: www.aqmen.ac.uk
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.
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========================================================================Date: Mon, 28 Jan 2013 12:17:15 +0000
Reply-To: Simon Bond <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
<[log in to unmask]>
From: Simon Bond <[log in to unmask]>
Subject: Fwd: Research Associate - University of Cambridge
In-Reply-To: <[log in to unmask]>
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Apologies, I missed some key details out.
-------------------------------------------------------------
Department of Medicine, £27,854-£36,298 pa, Closing date 24 February 2013
Please note any enquiries should be sent to
[log in to unmask] and not the original message-poster
Research Associate - Applied Statistics
------------------------------
The University of Cambridge is seeking a high calibre individual with a
background in applied statistics or epidemiology to join the Cardiovascular
Theme of the newly accredited Cambridge Clinical Trials Unit, based within
the School of Clinical Medicine. The Cambridge Clinical Trials Unit is
located on the Addenbrooke's Biomedical Campus in Cambridge, and works
closely with local investigators from the University of Cambridge,
Cambridge University Hospitals NHS Foundation Trust and Cambridge and
Peterborough Foundation Trust to develop and delivery high quality clinical
trials.
The Unit has a diverse portfolio of over 40 trials, encompassing a
broad-range of disease areas including oncology, cardiovascular medicine,
paediatrics, vasculitis and radiology, and has recently been registered by
the NIHR. This new post is designed to strengthen the cardiovascular theme
within the trials unit. The cardiovascular theme is currently running a
number of interventional and observational trials, and a key objective of
the new post is to lead the analysis for 2 ongoing trials funded by the
Technology Strategy Board and British Heart Foundation - one an RCT of a
novel therapy and the other a cohort study. The post-holder will also be
expected to work with chief investigators and other team members, but will
have time to develop their own research portfolio.
Applicants should have a higher degree; at least an MSc in applied
statistics, statistics, epidemiology, or a related field in quantitative
biomedical research, and be interested in applying their knowledge and
skills in the cardiovascular area. The successful applicant will be given
support in seeking independent research funding, and will also have a role
in supporting teaching and training within the Trials Unit and Medical
School.
This advert has been previously advertised (RC00727 and RC00603). Previous
applicants need not apply.
Informal enquiries should be directed to Ian Wilkinson, Director of the
Clinical Trials Unit, via Angela Loveridge (
[log in to unmask] ; tel 01223336806).
Fixed-term: The funds for this post are available for 2 years in the first
instance.
To apply, you should email your completed CHRIS 6 application form in MS
WORD (including details of three referees who may be consulted before
interview), covering letter, Curriculum Vitae, FPS Form, CCT Form and
Declaration Form to [log in to unmask] by Sunday 24th February
2013.
A CHRIS/6 form is available to download from
http://www.admin.cam.ac.uk/offices/hr/forms/chris6/
This appointment is subject to a health assessment. Whether an outcome is
satisfactory will be determined by the University. The University values
diversity and is committed to equality of opportunity. The University has a
responsibility to ensure that all employees are eligible to live and work
in the UK.
Quote reference: RC00727
You may leave the list at any time by sending the command
SIGNOFF allstat
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Department of Medicine, £27,854-£36,298 pa,
Closing date
24 February 2013 The University of Cambridge is seeking a high calibre individual with
a background in applied statistics or epidemiology to join the
Cardiovascular Theme of the newly accredited Cambridge Clinical Trials
Unit, based within the School of Clinical Medicine.
The Cambridge Clinical Trials Unit is located on the Addenbrooke's
Biomedical Campus in Cambridge, and works closely with local
investigators from the University of Cambridge, Cambridge University
Hospitals NHS Foundation Trust and Cambridge and Peterborough Foundation
Trust to develop and delivery high quality clinical trials. The Unit has a diverse portfolio of over 40 trials, encompassing a
broad-range of disease areas including oncology, cardiovascular
medicine, paediatrics, vasculitis and radiology, and has recently been
registered by the NIHR. This new post is designed to strengthen the
cardiovascular theme within the trials unit.
The cardiovascular theme is currently running a number of interventional
and observational trials, and a key objective of the new post is to
lead the analysis for 2 ongoing trials funded by the Technology Strategy
Board and British Heart Foundation - one an RCT of a novel therapy and
the other a cohort study. The post-holder will also be expected to work
with chief investigators and other team members, but will have time to
develop their own research portfolio. Applicants should have a higher degree; at least an MSc in applied
statistics, statistics, epidemiology, or a related field in quantitative
biomedical research, and be interested in applying their knowledge and
skills in the cardiovascular area.
The successful applicant will be given support in seeking independent
research funding, and will also have a role in supporting teaching and
training within the Trials Unit and Medical School. This advert has been previously advertised (RC00727 and RC00603). Previous applicants need not apply. Informal enquiries should be directed to Ian Wilkinson, Director of the Clinical Trials Unit, via Angela Loveridge ([log in to unmask] ; tel 01223336806). Fixed-term: The funds for this post are available for 2 years in the first instance. To apply, you should email your completed CHRIS 6 application form in
MS WORD (including details of three referees who may be consulted
before interview), covering letter, Curriculum Vitae, FPS Form, CCT Form
and Declaration Form to [log in to unmask] by Sunday 24th February 2013. A CHRIS/6 form is available to download from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/ This appointment is subject to a health assessment. Whether an
outcome is satisfactory will be determined by the University. The
University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are
eligible to live and work in the UK. Quote reference: RC00727
SIGNOFF allstat
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--bcaec5524024ed057704d4584147--
========================================================================Date: Mon, 28 Jan 2013 14:48:51 +0000
Reply-To: Michael Jones <[log in to unmask]>
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<[log in to unmask]>
From: Michael Jones <[log in to unmask]>
Subject: VACANCY: Bioinformatics Officer, Institute of Cancer Research,
University of London, UK
In-Reply-To: <[log in to unmask]>
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========================================================================Date: Mon, 28 Jan 2013 16:50:03 +0000
Reply-To: Dankmar Boehning <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: Dankmar Boehning <[log in to unmask]>
Subject: Senior Research Assistant/Research Fellow in Health Statistics
University of Southampton (repeated announcement)
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Senior Research Assistant/Research Fellow in Health Statistics University of Southampton (repeated announcement)
Location: Highfield Campus
Salary: £27,578 to £33,884 Pro rata per annum
Part Time Fixed Term
Closing Date: Thursday 31 January 2013
Interview Date: To be confirmed
Reference: 191013WT
(Part Time, Fixed Term for 2 years)
Applications are invited for a Senior Research Assistant/Research Fellow in Health Statistics in the Southampton Statistical Sciences Research Institute (S3RI, http://www.southampton.ac.uk/s3ri/).
More details at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=191013WT
Your duties will include; providing statistical support for various projects undertaken by members of the Faculty of Health Sciences, including advice on design questions, data analysis and statistical packages. This will be done in coordination with other members of S3RI which you will have to organise. You will also be encouraged to develop your own lines of research and apply for externally funded research grants.
You will have or be close to completing a PhD in Statistics or a related discipline, or an MSc in statistics with some professional experience. You will have knowledge of statistical modelling and inference, and experience of statistical computing and knowledge and experience in statistical packages including SPSS, SAS, MINITAB or STATA. Knowledge and experience of managing health-related datasets would be advantageous.
The position is tenable from 1 March 2013, or as soon as possible thereafter.
Informal enquiries may be made to the Director of S3RI, Professor Peter W. F. Smith, telephone +44 (0)23 8059 43211, email: [log in to unmask] or Professor Dankmar A.W. Böhning, telephone +44 (0)23 8059 6712, email: [log in to unmask]
It is anticipated that interviews will be held in the first half of February 2013.
The closing date for applications is 31 January 2013. Interviews will take place 12 February 2013. Please apply through www.jobs.soton.ac.uk. Please quote vacancy reference number 191013WT on all correspondence.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
========================================================================Date: Mon, 28 Jan 2013 17:22:08 +0000
Reply-To: "Kahraman, Emel" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: "Kahraman, Emel" <[log in to unmask]>
Subject: **Hays Life sciences-- Director of Exploratory Statistics -
Benelux**
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========================================================================Date: Mon, 28 Jan 2013 17:26:30 +0000
Reply-To: "Kahraman, Emel" <[log in to unmask]>
Sender: A UK-based worldwide e-mail broadcast system mailing list
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From: "Kahraman, Emel" <[log in to unmask]>
Subject: **Hays Life sciences - URGENT STATISTICAL PROGRAMMER -
Netherlands **
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========================================================================Date: Mon, 28 Jan 2013 18:27:44 +0000
Reply-To: Tess Lam <[log in to unmask]>
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From: Tess Lam <[log in to unmask]>
Subject: CONFERENCE: Call for Contributed Talks and Posters (PSI 2013)
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Dear Allstat, PSI are currently organising the programme for their 2013 Conference which is being held at Grand Central Hotel, Glasgow. We would therefore like to invite each of you to consider giving a talk and/or exhibiting a poster at the conference. We would like to encourage prospective authors of presentations to consider producing their talk as a poster as well. This will allow delegates the opportunity to benefit if they were unable to attend the parallel session. Exhibiting a poster based on your talk gives everyone an opportunity to see the whole content of the conference. We would also encourage you to consider writing your talk/poster as a paper to be published in the PSI journal, Pharmaceutical Statistics. You can suggest any topic/statistical area for your talk and/or poster - the choice is yours! And here are some ideas: The duration of the talk will be 30 minutes which should include an opportunity for questions from the audience.Posters should be A0 maximum in size (1189 x 841mm) if portrait and A1 maximum size (841 x 594mm) if landscape and must be presented in English. Posters will be displayed during the conference and specific Q&A time with the authors will be allocated in the conference agenda. Prizes for the best poster will be offered. This is your conference! Your positive contribution will be much appreciated by your colleagues. If this has inspired you into action, please contact us on email [log in to unmask] by 15 February 2013 with the title of your talk or poster and a short abstract.
On behalf of the PSI Conference Committee
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========================================================================Date: Tue, 29 Jan 2013 10:44:38 +0100
Reply-To: =?iso-8859-15?Q?Stéphane?= ROBIN <[log in to unmask]>
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From: =?iso-8859-15?Q?Stéphane?= ROBIN <[log in to unmask]>
Subject: Research position in statistics at AgroParisTech/INRA
In-Reply-To: <[log in to unmask]>
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Message-ID: <1392617323.14645580.1359452678896.JavaMail.root@zmb2>
A permanent research position in statistics is open at AgroParisTech/INRA on 'Approximate inference methods for complex systems'. Applications must be posted before february 28th.
The profile is described at www.inra.fr/drh/cr2013/profil-cr2.php?NumProfil=CR2-2013-8-MIA-1&langue=EN
Information regarding the application process can be found at www.inra.fr/drh/cr2013/inscriptions.php?langue=EN
Educational background: PhD or equivalent. Candidates should have a good command of English. The successful candidates who have not yet acquired postdoctoral training will be required to do so, preferably abroad, after their probationary period (1st year) and before being eligible for promotion to an Experienced Research Scientist position (CR1).
Object of research and skills: Models used for ecology and environment involve more and more complex dependence structures. The inference of such models is a difficult task that currently requires sophisticated Monte-Carlo simulation techniques. Mastering computational developments and convergence properties of these probabilistic inference tools is becoming a major stake to help understand the phenomena under study, to perform statistical predictions or to optimise decisions with regards to the case study’s specific risks. The successful candidate will be expected to contribute to the development of stochastic algorithms and/or approximate inference techniques, and to implement them. Experience in statistical modelling of complex data ( such as graphical models or spatio-temporal data) and a definite taste for biological applications and environmental sciences will be highly appreciated. Practical experience in Bayesian variational inference, ABC or particle methods, etc.. will be welcome.
Person to contact before applying:
Eric Parent <[log in to unmask]>.
Stéphane Robin <[log in to unmask]>
Host unit reference:
Research unit: 0518 MIA Mathématiques et Informatique Appliquées
Centre: VERSAILLES-GRIGNON
Address: 16 RUE CLAUDE BERNARD 75005 PARIS
Website of the unit: http://www.agroparistech.fr/mia/
-
-------------------------------------------------------------
Stéphane ROBIN INRA (dépt MIA) / AgroParisTech (dépt MMIP)
16 rue Claude Bernard F-75231 Paris cedex 05 FRANCE
www.agroparistech.fr/mia/ ssbgroup.fr/
Personal page: www.agroparistech.fr/mia/robin
tél: (33) (0)1.44.08.72.07 fax: (33) (0)1.44.08.16.66
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========================================================================Date: Tue, 29 Jan 2013 10:17:12 +0000
Reply-To: James Phillips <[log in to unmask]>
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From: James Phillips <[log in to unmask]>
Subject: JOB: StatsJobs.com
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You can view full details on the latest jobs to be listed on www.StatsJobs.com by visiting our website.
Summary of the latest job listings:
Environmental Statistician | Scottish Natural Heritage | Inverness
Key aims of this post are to promote statistical rigour in the collection, analysis and interpretation of information in Scottish Natural Heritage (SNH). This includes providing statistical support throughout SNH, in all its fields of activity. A framework agreement is in place to supplement the in-house statistical service with external statistical provision under contract. Environmental ...
Postdoctoral Research Associate (Epidemiology/Statistics/Modelling) | University of Liverpool
We are seeking an epidemiologist, health services researcher modeller or statistician, with excellent quantitative/statistical and modelling skills to work on a multi-centre NIHR funded project entitled “Modelling preventive interventions to address inequalities in chronic diseaseâ€. Research activities will include analysis of large datasets, development and application of policy modelling, the evaluation of public health interventions ...
Statistician | University Hospital Southampton NHS Foundation Trust
University Hospital Southampton NHS Foundation Trust (UHS) has an exciting opportunity for a full time statistician working within our internationally recognised Southampton COPD Group. The post holder will be involved in a wide range of analytical issues related to the individual COPD and other respiratory projects within the group. Current projects concentrate on the epidemiology ...
Research Officer (Statistician) | Cancer Council Victoria
Cancer Council Victoria has been leading the fight against cancer since 1936 by focussing on research, prevention, support and advocacy programs that deliver better outcomes for people affected by cancer. The Cancer Epidemiology Centre develops and maintains high quality resources for epidemiological research and evaluation. The Centre runs four major research programs including the Melbourne ...
Statistician/Engineering Analyst | Google
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to tackle some of technology’s greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage ...
Senior Statistician | Roche
At Roche, 80,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity, and on seeing each other’s differences as an advantage. To innovate healthcare, Roche has ambitious plans to keep learning and ...
Research Associate in Biostatistics | Keele University -
The Arthritis Research UK Primary Care Centre, at Keele has a thriving research programme in Pain and Osteoarthritis, underpinned by high quality clinical trials and observational studies, with linkage to medical records. The Centre includes a multidisciplinary grouping of clinicians working alongside epidemiologists, statisticians and social scientists, and our funding framework gives us a strong ...
Full-time PhD Studentships in Mathematics and Statistics | Open University
We invite applications for full-time PhD studentships in Mathematics and Statistics commencing 1 October 2013. A studentship is for three years but extensions of up to six months are possible. Studentships cover full-time fees and include a stipend (currently £13,590 per annum). Full-time PhD students are based at the University’s Walton Hall campus in Milton Keynes and ...
Research Assistant (Data Analyst/Statistician) | University College London
Full Time The appointment will be on UCL Grade 6. The salary range will be £28,338-£29,881 per annum, inclusive of London Allowance. Applications are invited for this exciting new Research post, carrying out both data curation and codification and analyses of linked electronic health records for cohort research in cardiovascular disease. As part of a ...
Biostatistician | University of Bern | Switzerland
The Faculty of Medicine at the University of Bern is one of five medical faculties in Switzerland. The Faculty’s Institute of Social and Preventive Medicine (ISPM) provides under-graduate and post-graduate education and carries out research in a range of disciplines relevant to Public Health. ISPM offers a lively, interdisciplinary environment with excellent computing and library ...
Advertising a single job listing on StatsJobs.com costs just £145 for 30 days. Please visit our website for media information.
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========================================================================Date: Tue, 29 Jan 2013 11:04:25 +0000
Reply-To: Laura Bonnett <[log in to unmask]>
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From: Laura Bonnett <[log in to unmask]>
Subject: REMINDER: Statistics from the Census
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Joint meeting between RSS Merseyside Local Group & The Health and Safety Executive (HSE)
6th February 2013, 17.00 Lower Peter Jost Conference Room, Liverpool John Moores University, Byrom Street
Statistics from the Census
The RSS Merseyside Local Group & The Health and Safety Executive (HSE) jointly welcome Emma White from the Office for National Statistics (ONS) who will present an overview of the data from the latest Census and compare the North West region to the rest of the country.
Emma is Head of Policy and Analysis for the 2011 Census outputs at ONS and has presented widely including the recent RSS annual conference.
The event will provide you with an understanding of how the North West region compares to the rest of the country and what changes have occurred since the last Census was conducted in 2001. This presentation will be of interest to anyone involved in Policy or Analysis work or of general interest to anyone living in the North West region.
The presentation will commence at 5pm and everyone is welcome. Wine and juice etc. will follow.
To register your interest please go to https://sites.google.com/site/rssmerseyside/research-meetings/census/registration
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========================================================================Date: Tue, 29 Jan 2013 11:14:50 -0000
Reply-To: Stewart Ellison <[log in to unmask]>
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From: Stewart Ellison <[log in to unmask]>
Subject: JOB: PHASTAR: Ready for a technical challenge? Strategically
influence medical development!
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Ready for a technical challenge? Report clinical trials in SAS to
strategically influence medical development within the pharma industry.
PHASTAR is a CRO that has been operating for five years with 38 employees.
PHASTAR specialise solely in the provision of clinical trial statistics and
programming services to pharma and biotech.
In response to on-going demand from our clients, we are growing the
programming division of PHASTAR, and we are currently on the lookout for
statisticians and statistical programmers to report large scale clinical
trials in SAS. If you are successful in this role, you will be responsible
for programming and QC of tables, figures, listings and datasets. Your
programming support will contribute to phase III trials and integrated
global submissions. You will be delivering datasets to CDISC industry
standards, and so experience working in this field is preferable.
- Advance your career in intellectually-stimulating, dynamic, supportive
environment
- Provide support to a variety of studies with large, reputable pharma
companies
- Excellent remuneration (competitive salary, pension, healthcare, and
training)
- Active involvement in driving forward PHASTAR research for journals and
presentations
- Company owned and run by statisticians and programmers (PHASTAR solely
specialise in clinical trial statistics and programming)
- All applicants will be contacted within three working days
PHASTAR has built a reputation within top ten pharma companies as a leader
in the provision of high quality clinical trial statistics and programming
services. PHASTAR understands that to preserve this reputation for quality,
it is paramount that we continue to develop exceptional employees that have
high standards of excellence in statistical programming. You will be
mentored by managers with substantial hands-on industry experience in a
range of therapeutic areas. You will have three years SAS programming
experience and relevant qualifications. You should possess effective
communication skills, and be confident liaising with clients.
Check out our new website ( Ready for a technical challenge? Report clinical trials in SAS to strategically influence medical development within the pharma industry. PHASTAR is a CRO that has been operating for five years with 38 employees. PHASTAR specialise solely in the provision of clinical trial statistics and programming services to pharma and biotech. In response to on-going demand from our clients, we are growing the programming division of PHASTAR, and we are currently on the lookout for statisticians and statistical programmers to report large scale clinical trials in SAS. If you are successful in this role, you will be responsible for programming and QC of tables, figures, listings and datasets. Your programming support will contribute to phase III trials and integrated global submissions. You will be delivering datasets to CDISC industry standards, and so experience working in this field is preferable… - Advance your career in intellectually-stimulating, dynamic, supportive environment - Provide support to a variety of studies with large, reputable pharma companies - Excellent remuneration (competitive salary, pension, healthcare, and training) - Active involvement in driving forward PHASTAR research for journals and presentations - Company owned and run by statisticians and programmers (PHASTAR solely specialise in clinical trial statistics and programming) - All applicants will be contacted within three working days PHASTAR has built a reputation within top ten pharma companies as a leader in the provision of high quality clinical trial statistics and programming services. PHASTAR understands that to preserve this reputation for quality, it is paramount that we continue to develop exceptional employees that have high standards of excellence in statistical programming. You will be mentored by managers with substantial hands-on industry experience in a range of therapeutic areas. You will have three years SAS programming experience and relevant qualifications. You should possess effective communication skills, and be confident liaising with clients. Check out our new website (www.phastar.co.uk) or contact Stewart confidentially: [log in to unmask] or call 0207 183 7062
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========================================================================Date: Tue, 29 Jan 2013 11:18:35 -0000
Reply-To: Stewart Ellison <[log in to unmask]>
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From: Stewart Ellison <[log in to unmask]>
Subject: JOB: PHASTAR CLIENT: Statistical Programming Global Team Lead
(top 20 pharma - West London location)
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Our client, a top 20 pharmaceutical company is looking to recruit a
full-time permanent statistical programming global team lead for their UK
operation.
You will have an ability to function as a project lead programmer or a trial
programmer for complex, technical pharma projects. You will support the
trial and project teams working closely with the respective lead
statisticians. You will also supervise CRO's providing support on a trial
level. Provide input into the programming requirements of the medical
quality review plan and the statistical analysis plan. Attend relevant
meetings, and liaise with management to update them on process issues
resource shortfall, and changes in timelines.
Prepare analyses, datasets and documentation to provide programming support
for worldwide regulatory submissions. You will be required to have an up to
date working knowledge of CDISC standards, and it is expected that you will
undertake research in order to be able to implement these standards within
project teams. Review statistical analysis plan and shell mock-ups to ensure
they are consistent with company guidelines and SOP's. Co-author the
analysis dataset specifications with the statistical lead.
Transform specifications in the project trial and statistical analysis plans
for the clinical trial report. Maintain libraries of validated programs,
macros, and procedures for reuse to improve the efficiency of the
programming department. Develop programming strategy defining key decisions
and timelines, implementing project programs where possible. You should have
an ability to lead international working groups representing the programming
function.
**You should have a practical, applied understanding of the full scope of
SAS programming activities in clinical trials. You should have an applied
understanding of statistical concepts in support of clinical trial analysis.
You should have a knowledge of database structures and setup and an
understanding of basic medical terminology. This is a senior managerial
role, and it is expected that you will be highly organised, and an effective
problem solver with an ability to balance your time across a range of
assignments.
You should be an effective verbal and written communicator, with an ability
to liaise with a variety of stakeholders. You will have an ability to
interpret data, and use this to influence project teams. The nature of the
industry also requires that your approach is precise and detail oriented.
The client has requested no remote working; they are looking for you to be
based in their office in the west of London;
Please contact [log in to unmask] or (+44) 207 183 7062 to
arrange a confidential discussion.
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Our client, a top 20 pharmaceutical company is looking to recruit a full-time permanent statistical programming global team lead for their UK operation. You will have an ability to function as a project lead programmer or a trial programmer for complex, technical pharma projects. You will support the trial and project teams working closely with the respective lead statisticians. You will also supervise CRO’s providing support on a trial level. Provide input into the programming requirements of the medical quality review plan and the statistical analysis plan. Attend relevant meetings, and liaise with management to update them on process issues resource shortfall, and changes in timelines. Prepare analyses, datasets and documentation to provide programming support for worldwide regulatory submissions. You will be required to have an up to date working knowledge of CDISC standards, and it is expected that you will undertake research in order to be able to implement these standards within project teams. Review statistical analysis plan and shell mock-ups to ensure they are consistent with company guidelines and SOP’s. Co-author the analysis dataset specifications with the statistical lead. **You should have a practical, applied understanding of the full scope of SAS programming activities in clinical trials. You should have an applied understanding of statistical concepts in support of clinical trial analysis. You should have a knowledge of database structures and setup and an understanding of basic medical terminology. This is a senior managerial role, and it is expected that you will be highly organised, and an effective problem solver with an ability to balance your time across a range of assignments. The client has requested no remote working; they are looking for you to be based in their office in the west of London; Please contact [log in to unmask] or (+44) 207 183 7062 to arrange a confidential discussion.
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========================================================================Date: Tue, 29 Jan 2013 11:31:26 +0000
Reply-To: David Jolley <[log in to unmask]>
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From: David Jolley <[log in to unmask]>
Subject: JOB: SAS Programmers and Senior SAS Programmers
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Dear ALLSTAT,
Quanticate is the largest data focussed CRO globally, and are going through an exciting period of growth. As a leader in the fields of SAS Programming, Statistics, and Data Management, Quanticate have built a successful reputation for delivering the highest quality of work with the best level of service.
An exciting opportunity has arisen to join our expanding Programming group to be based from our offices in Manchester, or Hitchin. Quanticate are building on recent successes and with new projects in the pipeline, they are recruiting for a number of SAS Programmers and Senior SAS Programmers who are looking for varied and challenging positions within international teams.
If you are looking, or if you know of anyone who is considering their options we are building teams across the country and are keen to speak with SAS Programmers with some industry experience who are looking to grow and develop their career, as well as Senior SAS Programmers who are looking at taking their career to the next level.
Excellent training and support is available for the right individuals.
Quanticate are offering a generous referral bonus to anyone who introduces a candidate who is successfully offered a position and starts with Quanticate.
Contact David Jolley, Resourcing Manager at [log in to unmask] or call 01462 477938 to find out more. You can also apply directly at www.quanticate.com or www.quanticatepeople.com.
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========================================================================Date: Tue, 29 Jan 2013 11:28:36 +0000
Reply-To: Anya Hurlbert <[log in to unmask]>
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From: Anya Hurlbert <[log in to unmask]>
Subject: 4-year PhD positions in systems neuroscience for maths, stats,
physics, engineering backgrounds
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Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks to Behaviour'
Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus Kaiser
The Institute of Neuroscience at Newcastle University integrates more than 100 principal investigators across medicine, psychology, computer science, and engineering. Research in systems, cellular, computational, and behavioural neuroscience. Laboratory facilities include auditory and visual psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET); TMS; optical recording, multi-electrode neurophysiology, confocal and fluorescence imaging, high-throughput computing and e-science, artificial sensory-motor devices, clinical testing, and the only brain bank for molecular changes in human brain development.
The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed at supporting the most promising students to undertake in-depth postgraduate research training. The first year combines taught courses with three laboratory rotations to broaden students' knowledge of the subject area. At the end of the first year, students will make an informed choice of their three-year PhD research project.
This programme is based at Newcastle University and is aimed to provide specialised training for physical and computational scientists (e.g. physics, chemistry, engineering, mathematics, and computer science) wishing to apply their skills to a research neuroscience career.
Eligibility/Person Specification: Applicants should have, or expect to obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences, engineering, mathematics or computing degree.
Value of the award: Support includes a stipend for 4 years (£19k/yr tax-free), PhD registration fees at UK/EU student rate, research expenses, general training funds and some travel costs.
How to apply: You must apply through the University's online postgraduate application form (http://www.ncl.ac.uk/postgraduate/funding/search/list/in054 ) inserting the reference number IN054 and selecting 'Master of Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the programme of study. Only mandatory fields need to be completed (no personal statement required) and a covering letter, CV and (if English is not your first language) a copy of your English language qualifications must be attached. The covering letter must state the title of the studentship, quote the reference number IN054 and state how your interests and experience relate to the programme.
The deadline for receiving applications is 10 February 2013.
You should also send your covering letter and CV to Suzi Englebright, Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, or by email to [log in to unmask]
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========================================================================Date: Tue, 29 Jan 2013 11:41:38 +0000
Reply-To: Sarah Wo <[log in to unmask]>
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<[log in to unmask]>
From: Sarah Wo <[log in to unmask]>
Subject: Postgraduate Studentships in Social Statistics & Demography at
the University of Southampton
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Apologies for any cross-posting As previously advertised, postgraduate funding opportunities are available from the division of Social Statistics & Demography at the University of Southampton. Scholarships: We have up to 10 ESRC-DTC studentships (1+3 or +3), worth £13,590 pa tax free, plus fees, with a chance for apply for an additional £3,000 for training in advanced quantitative methods during the PhD. We also have several one-year taught MSc scholarships for our MSC programmes in Demography or Social Statistics, providing a substantial discount towards the cost of fees. These are all available for UK, EU and overseas students. Deadline: 6th February 2013 Other funding opportunities: Other studentships are also available, including three year ONS PhD scholarships (similar value to ESRC-DTC studentships) and the opportunity to apply to be put forward for one year PIC MSc scholarships in Demography (worth £15,000). For more details visit our website at: http://www.southampton.ac.uk/demography. Applying: Please apply using the University application form at http://www.soton.ac.uk/postgraduate/pgstudy/howdoiapplypg.html and state in the General Information section (checklist item 11 of 14) under further details about your funding that you wish to be considered for funding (indicating which types). We consider all eligible applicants. For queries please contact [log in to unmask].
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========================================================================Date: Tue, 29 Jan 2013 13:44:35 +0000
Reply-To: Laura Bonnett <[log in to unmask]>
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From: Laura Bonnett <[log in to unmask]>
Subject: Discounted accommodation deadline 31st January - Survival
Analysis Conference
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If you know of any colleagues or students who are using survival data as part of their projects or know anyone who may be interested would you please forward this message onto them.
The link to the conference website is www.liv.ac.uk/survival and an e-mail address is [log in to unmask] There are a few slots left for people to submit abstracts and give presentations.
There is also a deal set up for accommodation which expires on 31st January so potential attendees are urged to register ASAP if they require accommodation.
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========================================================================Date: Tue, 29 Jan 2013 14:20:18 +0000
Reply-To: Fabrizio Ruggeri <[log in to unmask]>
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From: Fabrizio Ruggeri <[log in to unmask]>
Subject: SUMMER SCHOOL: ABS13 - Applied Bayesian Statistics - Lake Como -
Italy
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Please find enclosed the announcement of the 10th edition of
the ABS (Applied Bayesian Statistics) summer school. This year
the school will be held in the magnificent Villa del Grumello,
in Como (Italy), on the Lake Como shore.
Guido Consonni and Fabrizio Ruggeri
ABS13 Directors
--------------------------------------------------------------
Summer school on BAYESIAN METHODS FOR VARIABLE SELECTION WITH
APPLICATIONS TO HIGH-DIMENSIONAL DATA, Como, Italy
*******************************
* ABS13 *
*******************************
Applied Bayesian Statistics School
BAYESIAN METHODS FOR VARIABLE SELECTION WITH APPLICATIONS TO
HIGH-DIMENSIONAL DATA
June, 17 - 21, 2013 - Villa del Grumello, Como, Italy
Lecturer
Professor Marina VANNUCCI
Department of Statistics, Rice University, Houston, USA
Programme and registration details are available at
>>>> www.mi.imati.cnr.it/conferences/abs13.html <<<<
Details on accommodation will be posted in few days.
Interested people are invited to contact the ABS13 Secretariat at
[log in to unmask]
--------------------- COURSE OUTLINE ----------------------------------------
This course will cover Bayesian methods for variable selection and
applications. Various modeling settings will be considered, starting with the
widely used linear regression models. Bayesian methods for variable selection
have been successfully employed in linear setting models, making problems with
hundreds of regressor variables and a few samples quite feasible. These
methods use mixing priors on the regression coefficients to do the selection
and fast Markov Chain Monte Carlo stochastic search approaches to sample from
posterior distributions. Extensions of the methodologies to other linear
settings will also be considered, in particular to handle categorical
responses, via probit models, and survival data, via accelerated failure time
models. Applications of the methodologies will focus on high-dimensional data
from genomic studies that use high-throughtput expression levels of thousands
of genes. For such applications, models and inferential algorithms will be
modified to incorporate specific information, such as data substructure and
biological knowledge on gene functions. The last part of the course will
address variable selection for a different modeling setting, that is mixture
models, both unsupervised (for sample clustering) and supervised (for
discriminant analysis). In mixture models variable selection is achieved via
latent binary vectors that identify the discriminating variables and are
updated via a Metropolis algorithm. In the clustering setting, inference on
the sample allocations is obtained either via reversible jump MCMC or
split-merge MCMC techniques. Performances of the methodologies will be
illustrated on simulated data and on DNA microarray data. The course will end
with a brief description of additional topics, such as the use of variable
selection priors in nonlinear settings, via Gaussian processes, and for the
analysis of functional data.
The school will make use of lectures, practical sessions, software
demonstrations, informal discussion sessions and presentations of research
projects by school participants. The slides and background reading material
will be distributed to the students before the start of the course.
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========================================================================Date: Tue, 29 Jan 2013 15:52:49 +0000
Reply-To: Sarah Barry <[log in to unmask]>
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From: Sarah Barry <[log in to unmask]>
Subject: Reminder: Job - Biostatistician,
University of Glasgow (2 posts now available)
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For further information, please reply to Elaine Rodgers ([log in to unmask] For further information, please reply to Elaine Rodgers ([log in to unmask]) and not to me. 002940 Biostatistician (2 posts) COLLEGE OF MVLS RI HEALTH & WELLBEING Research And Teaching -GRADE 7 Job Purpose As a Biostatistician, you will be expected to carry out complex statistical programming and analyses and to write reports on these. You will undergo
training in more advanced statistical methods as required. You will be expected to meet with and present results to clients, and to participate in publication of research with internal and external collaborators. You will have the opportunity to contribute
to the Centre’s teaching programme. You will be encouraged to contribute to collaborative applications for grant funding. You will be expected to be able to work independently on small projects, and to work under the supervision and direction of more senior
statisticians for larger, more complex projects. Initially, you will report to senior statistical staff, but as you become more experienced in your role, you will be given more responsibility and encouraged to work more independently Main Duties and Responsibilities Statistics 8. Undergo training in more advanced statistical methods. Teaching 12. Assist, as appropriate, in the supervision and training of undergraduates or postgraduate students in the delivery the Centre’s statistics courses. This could in the future include day to day mentoring
or longer term planning of research objectives. Administration 13. Ensure compliance with and contribution to the review of Centre Standard Operating Procedures. Knowledge, Qualifications, Skills and Experience Knowledge / Qualifications Essential: Essential: Essential: Job Features Dimensions
·
Writing of statistical analysis plans for small studies.
·
Co-ordination of small projects.
·
Managing own workload effectively and efficiently, completing tasks within required timelines.
·
Following internal procedures in relation to the planning and documentation of statistical processes.
·
Proactive in delivering requirements of senior Centre personnel and clients in a flexible and ordered fashion.
·
Selection of analysis strategies and drafting analysis plans.
·
Identification of issues affecting the progress of statistical tasks, and communicating such issues to senior Centre personnel in a timely fashion.
·
Working in a multidisciplinary team and with external multidisciplinary academic and commercial teams.
·
This is the primary activity of a statistician.
·
Contribute to the Centre’s reputation of excellence by providing a consistently high standard of work.
·
Contribute to the University’s reputation in clinical research by providing a strong supporting service where appropriate within the area of clinical trials and medical research projects.
·
The nature of the post may require regular working outside of normal working hours.
·
Due to the confidential nature of the work undertaken at the Robertson Centre for Biostatistics, the successful applicant will be required to sign a confidentiality agreement on commencement of employment. Additional Department Information Standard Terms & Conditions Salary will be on the University’s Research and Teaching Grade, level 7, £32,267 - £36,298 per annum. Vacancy ref: 002940, closing date 31 January 2013 Apply Online https://www22.i-grasp.com/fe/tpl_glasgow01.asp?newms=jj&id=59817&aid=14231 Dr. Sarah Barry Statistician Tel: +44(0)141 330 3114 Fax: +44(0)141 330 5094 Institute of Health and Wellbeing University of Glasgow University of Glasgow Glasgow getstats - a society in which our lives and choices are enriched by an understanding of statistics. Go to
www.getstats.org.uk for more information.
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========================================================================Date: Tue, 29 Jan 2013 16:01:39 -0000
Reply-To: Martin Gibson <[log in to unmask]>
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From: Martin Gibson <[log in to unmask]>
Subject: Re: ANNOUNCE: DETAILS OF FEBRUARY'S CAMBRIDGE STATISTICS
DISCUSSION GROUP TALK - ALL WELCOME!
Comments: To: Peter Watson <[log in to unmask]>
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Hi Peter,
Happy New Year! I'll join you for supper at 6 pm. See you then.
Regards,
Martin
----- Original Message -----
From: Peter Watson
To: [log in to unmask]
Sent: Monday, January 14, 2013 10:06 AM
Subject: ANNOUNCE: DETAILS OF FEBRUARY'S CAMBRIDGE STATISTICS DISCUSSION GROUP TALK - ALL WELCOME!
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Monday 4th February 2013 7:15 for 7:45
The Statistical Laboratory,
Centre for Mathematical Sciences,
Wilberforce Road, Cambridge, CB3 0WB
The Early Years of the Medical Research Council's Biostatistics Unit: Science and People
Vern Farewell
MRC Biostatistics Unit
Abstract: The Medical Research Council's (MRC) Biostatistics Unit is approaching its centenary, having been established in 1914. In the UK, the development of medical statistics as a discipline has been closely linked to the Unit's development. In this talk, I will consider the scientific and political contexts which contributed to the establishment of the Unit. In addition, the lives and work of the first two Directors of the Unit, John Brownlee and Major Greenwood, will be discussed. Their scientific contributions and leadership roles will be highlighted. The roles of two other members of the Unit during these early years will also be examined, one individual well known, Austin Bradford Hill, and one less well known, Hilda Mary Woods. Speaker: Prior to moving to the MRC Biostatistics Unit in 2001, Vern Farewell held professorial positions at the University of Washington, the University of Waterloo and University College London. He has published widely in the statistical and medical literature and is co-author of the four editions of the book "Using and Understanding Medical Statistics". Since 2007, he has been Editor of "Statistics in Medicine". His current research has a primary focus on the analysis of observational longitudinal data.
Directions: The main entrance is reached from Clarkson Road by going along the 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 and a curved grassed roof. The main entrance is in the middle of the glass front. Coffee before the talk will be in the common room in Pavilion D, and the talk will be in Meeting Room 4 in Pavilion A. Free parking is available after 5pm on Clarkson and Wilberforce Roads.
Provisional Next Meetings:
5th March - Peter Treasure (Easter Cancer Registry and Information Centre & Department of Public Health and Primary Care).
25th March - Stephen Kaptoge (Cardiovascular Epidemiology Unit).
25th April - David Greenberg (Eastern Cancer Registration & Information Centre).
15th October - Mike Bithell (Geography).
25th November - James Wason (MRC Biostatistics).
Supper: Some members eat before a talk at the University Centre meeting in the downstairs bar at 6pm. All welcome !
Subscriptions: of 1 pound are now due for attending the 2012-2013 session.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF;
telephone 01223 355294 Extension 801; E-mail [log in to unmask]
Take a look at our website: http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg.html
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THE CAMBRIDGE STATISTICS DISCUSSION GROUP Monday 4th February
2013 7:15 for 7:45 The Statistical
Laboratory, Centre for
Mathematical Sciences, Wilberforce Road,
Cambridge, CB3 0WB The Early Years of the Medical Research Council's
Biostatistics Unit: Science and People Directions: The
main entrance is reached from Clarkson Road by going along the 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 and a curved grassed
roof. The main entrance is in the middle of the glass front. Coffee before the
talk will be in the common room in Pavilion D, and the talk will be in Meeting
Room 4 in Pavilion A. Free parking is available after 5pm on Clarkson and
Wilberforce Roads.
Provisional Next Meetings:
5th March – Peter Treasure
(Easter Cancer
Registry and Information Centre & Department of Public Health and Primary
Care).
25th March – Stephen
Kaptoge (Cardiovascular Epidemiology Unit). 25th April – David
Greenberg (Eastern Cancer Registration & Information Centre). 15th October – Mike Bithell
(Geography). Supper: Some members eat before a talk at the
University Centre meeting in the downstairs bar at 6pm. All welcome
! Subscriptions: of 1 pound are now due for
attending the 2012-2013 session. Secretary:
Peter Watson, MRC
Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2
7EF; telephone
01223 355294 Extension 801; E-mail [log in to unmask] Take a look at our
website:
http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg.html SIGNOFF allstat to [log in to unmask],
leaving the subject line blank.
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========================================================================Date: Tue, 29 Jan 2013 08:22:02 -0800
Reply-To: khizar azam <[log in to unmask]>
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<[log in to unmask]>
From: khizar azam <[log in to unmask]>
Subject: NO ANSWER CODING
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Dear all greetings,
I am working with spss and while coding data i entered 9=no answer for an open ended question that was about collar size (inches) but when i ran descriptives i got mean=6 inches which is not possible. what should i do, because a large number of respondents gave no answer to the question.
Regards,
Khizar Researcher
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========================================================================Date: Tue, 29 Jan 2013 17:10:43 +0000
Reply-To: Michael Jones <[log in to unmask]>
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From: Michael Jones <[log in to unmask]>
Subject: VACANCY: Bioinformatics Officer, Cell Communication Team,
Institute of Cancer Research, UK
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Bioinformatics Officer, Cell Communication Team, Institute of Cancer Research, University of London, UK.
A post is available for a bioinformatics officer to work in the Cell Communication Team (Team Leader Dr Claus Jørgensen). Central to the work in the Cell Communication Team is the use of high content data such as quantitative proteomics and phosphoproteomics, which is integrated with phenotypic data such as RNAi and small molecule screening.
Applicants will hold an MSc or a PhD in Bioinformatics, Computational Sciences, Engineering, Mathematics or a relevant field. S/he should have post-graduate experience with R/Bioconductor and Perl/Python and preferentially be experienced with analysis of quantitative proteomics data.
Informal enquiries can be made to Claus Jørgensen ([log in to unmask]).
Please DO NOT send your application to Dr. Jørgensen; CV and covering letter must be submitted online at http://www.icr.ac.uk/jobsearch Job Ref. No. 1308926.
Closing date: 28th February 2013
The Institute of Cancer Research: Royal Cancer Hospital, a charitable Company Limited by Guarantee, Registered in England under Company No. 534147 with its Registered Office at 123 Old Brompton Road, London SW7 3RP.
This e-mail message is confidential and for use by the addressee only. If the message is received by anyone other than the addressee, please return the message to the sender by replying to it and then delete the message from your computer and network.
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========================================================================Date: Tue, 29 Jan 2013 17:57:19 -0000
Reply-To: Stewart Ellison <[log in to unmask]>
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From: Stewart Ellison <[log in to unmask]>
Subject: JOB: PHASTAR: Clinical data programming analyst - a rare
combination of technical expertise and customer problem solving
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Clinical Data Programming Analyst - a rare combination of technical
expertise and customer problem solving. The role is a 12 month contract
based primarily on-site in West London.
A client of Phastar has requested that we provide a clinical data
programming analyst to support phase III clinical trials using a variety of
EDC/eDM tools.
If successful, you will be a technically minded individual with a good
understanding of IT infrastructure, and also an ability to discover
innovative solutions to solve the key issues that the customer faces. Your
ability to think quickly, and propose technical solutions efficiently will
make you an ideal for working in a live-data setting. You should be a
'hands-on programmer' that enjoys dealing with technical issues in a variety
of IT and statistical programming packages.
You will have experience working with: InForm Architect v4.6, InForm
Central Designer v1.4, SAS v8.2, SQL
It would be beneficial if you have had experience working in: COGNOS Report
Studio 8.2, Spotfire v3.2 with an understanding of SDTM data structures
You should have an ability to communicate technical concepts customers that
have a background in a clinical setting
You should possess a proven track record working as a member of a team, but
with your experience, it is expected that you will be able to work
independently with minimal technical supervision. You must be good at
prioritising your workload between various clients, and effective client
negotiation skills are essential to this role.
Please contact [log in to unmask] or 0207 183 7062
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Clinical Data Programming Analyst - a rare combination of technical expertise and customer problem solving. The role is a 12 month contract based primarily on-site in West London. A client of Phastar has requested that we provide a clinical data programming analyst to support phase III clinical trials using a variety of EDC/eDM tools. If successful, you will be a technically minded individual with a good understanding of IT infrastructure, and also an ability to discover innovative solutions to solve the key issues that the customer faces. Your ability to think quickly, and propose technical solutions efficiently will make you an ideal for working in a live-data setting. You should be a ‘hands-on programmer’ that enjoys dealing with technical issues in a variety of IT and statistical programming packages… You should possess a proven track record working as a member of a team, but with your experience, it is expected that you will be able to work independently with minimal technical supervision. You must be good at prioritising your workload between various clients, and effective client negotiation skills are essential to this role. Please contact [log in to unmask] or 0207 183 7062
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========================================================================Date: Tue, 29 Jan 2013 11:34:54 -0700
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From: Dorothy Middleton <[log in to unmask]>
Subject: Online interactive statistics courses with Instructor start
February 15th
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For more information, see http://statcourse.com
Students, faculty, and research workers at academic institutions and the
self-employed are eligible for a $35 discount for most courses. Those
who enroll before February 6th will be eligible for a further discount
of 20%. Write [log in to unmask] to obtain these discounts.
Sample Size Determination Three lessons in three weeks. Binomial and
Poisson trials. Continuous measurements. Sequential trials plus a topic
determined by course participants. Begins February 15th 2013. Cost
$199.
Analyzing Large Numbers of Variables—Microarrays, EEG's, MRI's fMRI's.
This four-week course will show you how to analyze data with large
numbers of variables most effectively and introduce you to the software
that can do the job. Emphasis on the use of the bootstrap, decision
trees, and permutation tests. Begins February 15th 2013. $345.
Business Analytics. This four-week course will provide you with the
analytics you need to do market research and sales analyses to improve
profitability and expand business. Employees and managers from small
companies are particularly welcome, as this course introduces concepts
and practices used by large companies and multinationals. You'll be
shown how to implement analytics even with a relatively small budget and
training time. Begins 15th February 2012. $495. Additional enrollees
from the same firm are only $395.
Introduction to R. When you complete the three lessons in three weeks
starting 15 February 2013, you will be able to enter and analyze your
own data. Instructor guides you each step of the way responding to
questions you post on the online discussion board. $199.
Meta-Analysis Using R. Three lessons in three weeks. Begins 15 February
2013. Combine data from multiple studies. Fixed- effects and
random-effects meta-analysis models. Identifying publication bias. R
packages "rmeta" and "meta" will be introduced for the step-by-step
implementation with "forest" and "funnel" plots. $299 per participant.
For more information, see http://statcourse.com
To obtain a coupon for an academic, government, and/or early-bird
discount, write
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========================================================================Date: Tue, 29 Jan 2013 14:39:25 -0600
Reply-To: =?ISO-8859-1?Q?Rodrigo_Briceño?= <[log in to unmask]>
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From: =?ISO-8859-1?Q?Rodrigo_Briceño?= <[log in to unmask]>
Subject: request of feedback
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Dear Allstat users.
I'm not an expert user of econometric models, so I'm writing here to
try to catch some feedback in order to do a more refined search of
techniques.
I have the following challenge: theoretically I want to probe if
Y=B0+B1X+B2Xt-i+B3Yt-i+B4Z+Ut.
My dependent variable Y should be explained by X and some lags, by
their own Y lags and some set of explanatory variables included in Z
(there are 4 variables identified).
If my model only had X and its lags, the model required could be the
one related with distributed lags (Koyck, Almon). If my model only had
the lags of Y, then an autorregresive model could be my solution.
The thing is that the combination of lags of Y and X, plus the
introduction of other explanatory variables has prevented me of simple
using an OLS estimation.
Does anybody could suggest me which way of modelling should I start looking at?
thanks!
--
Rodrigo Briceño
Economist
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SKYPE: rbriceno1087
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========================================================================Date: Wed, 30 Jan 2013 00:15:48 -0800
Reply-To: khizar azam <[log in to unmask]>
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From: khizar azam <[log in to unmask]>
Subject: IMPUTATION AND SURVEY DATA
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Dear Colleagues Greetings,
I was about to analyze a survey data the sample size is 260 respondents(using SPSS) since the questionnaire was long a lot of incomplete data so should i opt for imputation and what about the bias, another option is that i dont define the missing values in that case when i run my model i get all respondents included in the model, whats the right approach?
kind Regards to all.
Khizar Researcher.
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========================================================================Date: Wed, 30 Jan 2013 08:52:34 +0000
Reply-To: "Lucas, Ricardo" <[log in to unmask]>
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From: "Lucas, Ricardo" <[log in to unmask]>
Subject: JOB: 6 Month SAS Programming Contract- Large international
pharmaceutical company.
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YmxhbmsuDQo--_000_92E7DB5F663712419ABCF81571D7F419D351F4HRMWSXS1476emeaha_--
========================================================================Date: Wed, 30 Jan 2013 02:03:13 -0800
Reply-To: "T. Kassile" <[log in to unmask]>
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From: "T. Kassile" <[log in to unmask]>
Subject: hi
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check out this page http://bit.ly/X7ebhN
T.
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check out this page http://bit.ly/X7ebhN
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========================================================================Date: Wed, 30 Jan 2013 10:03:23 +0000
Reply-To: ghasem yadegarfar <[log in to unmask]>
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From: ghasem yadegarfar <[log in to unmask]>
Subject: All hi
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hey have a look http://bit.ly/VuVkTD
ghasem
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hey have a look http://bit.ly/VuVkTD
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========================================================================Date: Wed, 30 Jan 2013 10:31:19 +0000
Reply-To: "Kimani, Peter" <[log in to unmask]>
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From: "Kimani, Peter" <[log in to unmask]>
Subject: Joint meeting of RSS West Midlands Local group and Midland Hub
for Trials Methodology Research
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Dear list members,
The RSS West Midlands Local group is holding a joint meeting with Midland Hub for Trials Methodology Research (MHTMR) on 7th February 2013 at the University of Birmingham. The meeting is open to all and the details are:
Date: 7th February 2013
Time: 4.00pm - 5.00pm (Refreshments at 3.30pm)
Venue: University of Birmingham, Learning Centre (Building R28 in http://www.birmingham.ac.uk/Documents/university/edgbaston-map.pdf ), Rm UG06 (Refreshments in the foyer).
Speaker: Rebecca Turner (MRC Biostatistics Unit)
Title: Bias adjustment in evidence synthesis
Abstract Policy decisions often require synthesis of evidence from multiple sources, and the source studies typically vary in rigour and in relevance to the target question. Rigour (or internal bias) reflects how well a study estimates its intended parameters. In a study comparing the effectiveness of two interventions, rigour varies according to use of randomisation, degree of blinding and attrition levels. Relevance (or external bias) reflects how similar the source study design is to the target setting, with respect to study population, outcomes and interventions. In this talk, methods for allowing for internal and external biases in evidence synthesis are presented, and illustrated through application to examples in antenatal care and obesity. A generic bias modelling approach allows decisions to be based on all available evidence, with less rigorous or less relevant evidence discounted using computationally simple methods.
Kind regards,
-----------------------------------------------
Peter Kimani
Research Fellow in Medical Statistics
Statistics and Epidemiology
Division of Health Sciences
Warwick Medical School
University of Warwick
Coventry
CV4 7AL
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Dear list members, The RSS West Midlands Local group is holding a joint meeting with Midland Hub for Trials Methodology Research (MHTMR) on 7th February 2013 at the University of Birmingham. The meeting is open to all and the details are: Speaker: Rebecca Turner (MRC Biostatistics Unit) Title: Bias adjustment in evidence synthesis Abstract Policy decisions often require synthesis of evidence from multiple sources, and the source studies typically vary in rigour
and in relevance to the target question. Rigour (or internal bias) reflects how well a study estimates its intended parameters. In a study comparing the effectiveness of two interventions, rigour varies according to use of randomisation, degree of blinding
and attrition levels. Relevance (or external bias) reflects how similar the source study design is to the target setting, with respect to study population, outcomes and interventions. In this talk, methods for allowing for internal and external biases in evidence
synthesis are presented, and illustrated through application to examples in antenatal care and obesity. A generic bias modelling approach allows decisions to be based on all available evidence, with less rigorous or less relevant evidence discounted using
computationally simple methods. Kind regards, ----------------------------------------------- Peter Kimani Research Fellow in Medical Statistics Statistics and Epidemiology Division of Health Sciences Warwick Medical School University of Warwick Coventry CV4 7AL The contents of this email and any attachments are the property of the University of Warwick and are intended solely for
the named recipient(s).
The contents may be confidential and should not be communicated to anyone else without our express consent. If you have received this message in error please notify the sender and delete it from your system.
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========================================================================Date: Wed, 30 Jan 2013 12:02:44 +0000
Reply-To: "Kells, Richard" <[log in to unmask]>
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From: "Kells, Richard" <[log in to unmask]>
Subject: NEW COURSE: Systematic Reviews & Meta-Analysis Using Stata course
at Imperial College
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There are places available on our new Stata course below...
_________________________________________
Systematic Reviews and Meta-Analysis Using Stata
* Wednesday 10 April 2013 (10.00-17.00)
Weblink: www3.imperial.ac.uk/stathelp/courses/statacourses/systematicreviews
There are places available on our new Stata course below...
_________________________________________
Systematic Reviews and Meta-Analysis Using Stata
·
Wednesday 10 April 2013
(10.00-17.00)
Weblink:
www3.imperial.ac.uk/stathelp/courses/statacourses/systematicreviews _________________________________________ We currently provide courses in
SPSS,
Stata, Matlab &
Clinical Trials. Please contact +44 (0)20 7594 3856 or
[log in to unmask] for further information.
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========================================================================Date: Wed, 30 Jan 2013 12:14:25 +0000
Reply-To: "Eckley, Idris" <[log in to unmask]>
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From: "Eckley, Idris" (Please do not reply directly to this email - instead use the contact details provided below -
[log in to unmask]) ---------------- Dear all, We would like to draw your attention to the following statistics course organised by the Statistics Courses Team at the UCL Institute of Child Health.
Introduction to quantile regression - Course given by Dr Marco Geraci 15 February 2013 (Friday); 10am to 4.30pm; Cost for non UCL/ICH/GOSH affiliated delegates: £150 (discounts available for UCL staff/students/alumni) –
Register online Have you ever wondered whether you can estimate a regression model for the quantiles (e.g., the median or the 5th percentile) of an outcome without having to introduce distributional assumptions such as normality? Or whether you can
assess heteroscedasticity (non-constant variance), skewness and other features of the outcome distribution in relation to a set of predictors?
This introductory course to quantile regression (QR) will enable participants to estimate and evaluate models that relate one or more regressors to the quantiles of a response variable. Programming code to perform QR in Stata and R will be provided.
Familiarity with probability and regression analysis is expected from the delegates, although a brief recap of the basics will be provided. More courses and additional dates are available on our
website. Please do not hesitate to contact us should you have further queries. We look forward to hearing from you. Kind regards, Eirini on behalf of the Statistics Courses Team UCL Institute of Child Health 30 Guilford Street London WC1N 1EH General/payment queries:
+44 (0) 2079052340
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========================================================================Date: Wed, 30 Jan 2013 15:13:07 +0000
Reply-To: Martin Holt <[log in to unmask]>
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From: Martin Holt <[log in to unmask]>
Subject: hi
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hey check this out http://bit.ly/VVqekC
Martin
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hey check this out http://bit.ly/VVqekC
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========================================================================Date: Wed, 30 Jan 2013 16:41:17 +0100
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From: "Arts Ilja (EPID)" <[log in to unmask]>
Subject: COURSE: deadline registration Molecular Epidemiology course
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Dear colleague,
The second edition of the International course on Molecular Epidemiology of Chronic Diseases will take place from April 15-19, 2013 in Maastricht, The Netherlands.
The deadline for registration for this course is nearing: February 13, 2013. Please register through our website: www.M2E2.nl Dear colleague, The second edition of the International course on Molecular Epidemiology of Chronic Diseases will take place from April 15-19, 2013 in Maastricht, The Netherlands. The deadline for registration for this course is nearing: February 13, 2013. Please register through our website: www.M2E2.nl The Maastricht Molecular Epidemiology Expertise group (M2E2) offers you a challenging five days course (15-19 April 2013) to grasp the essentials of molecular epidemiology. The course brings together the different fields of expertise involved in molecular epidemiological research in a comprehensive and integrated manner. Participants will be confronted with issues such as study design, challenges of incorporating omics data in population studies, statistical analysis of complex data, and interpretation of findings in the context of public health. Focus lies especially on methodological issues, with a variety of disease settings as illustration. The audience targeted is PhD students and postdoctoral fellows from epidemiology, biology, medicine, statistics, and related fields, as well as those working in public health, who want to become acquainted with this expanding research area. For more information and the course program see our website (www.M2E2.nl) and enclosed flyer. Please feel free to spread this information in your network. On behalf of the course faculty, Ilja C.W. Arts, PhD and Matty P. Weijenberg, PhD
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========================================================================Date: Wed, 30 Jan 2013 15:50:32 +0000
Reply-To: Richard Everitt <[log in to unmask]>
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From: Richard Everitt <[log in to unmask]>
Subject: JOB: PDRA at the University of Reading using Approximate Bayesian
Computation in Ecology
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Post Title: Postdoctoral Research Assistant
Grade: Grade 6, £27,854 to £30,424 per annum
Faculty/Department: School of Biological Sciences, University of Reading
Reports to: Professor Richard Sibly
Application closing date: 28/02/2013
We seek an energetic and enthusiastic researcher, with a background in mathematical or computer modelling and some knowledge of statistics, to join a group of computational biologists.
You will help develop methods to evaluate and parameterise individual-based models of animal populations using ecological data.
You will have:
- Or expect shortly to have a PhD
- Appropriate experience in modelling and/or biological statistics
- Enthusiasm, ideas and ability to organise and prioritise own workload and build good relationships externally and internally
- Experience in scientific research, writing research papers, giving conference presentations
- Some experience of programming
Many opportunities exist within biology for researchers with mathematical/computing skills
Informal contact details:
Contact name: Richard Sibly
Contact phone: +44 (0)118 931 8461
Contact email: [log in to unmask]
Further particulars:
https://www.reading.ac.uk/about/jobs/docs/RS13003.pdf
Apply online at http://www.reading.ac.uk/about/jobs/. Alternatively, if you wish to apply using a hardcopy form please email [log in to unmask] or contact Human Resources, University of Reading, Whiteknights, PO Box 217, Reading RG6 6AH or Telephone +44(0)118 378 6771 (voicemail).
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========================================================================Date: Wed, 30 Jan 2013 08:14:46 -0800
Reply-To: Ali Karimnezhad <[log in to unmask]>
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From: Ali Karimnezhad <[log in to unmask]>
Subject: Real Data
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Dear Allstat users,
I'll appreciate if anyone kindly provide me some references, dealing with a real data set having Gamma distribution with shape parameter > 2.
Regards,
Ali Karimnezhad
School of Mathematics, Statistics and Computer Science
College of Science
University of Tehran
Tehran, Iran
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========================================================================Date: Wed, 30 Jan 2013 16:39:38 +0000
Reply-To: Jon Williamson <[log in to unmask]>
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From: Jon Williamson <[log in to unmask]>
Subject: The Reasoner 7(3) available for download
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The latest issue of The Reasoner is now freely available for download in pdf format at
http://www.thereasoner.org/
Editorial - Katie Steele
Interview with Dave Stainforth - Katie Steele
Is Ethical Relativism Self-Stultifying? - Majid Amini
The Contextual Theory of Scientific Understanding: A Rejoinder to Erik Weber - Henk W. de Regt
Epistemic Groups and Collaborative Research in Science, 17-19 December - Thomas Boyer & Cyrille Imbert
Theoretical Aspects of Rationality and Knowledge, 7-9 January - Burkhard C. Schipper
Aims and Norms, 18 January - Javier Gonzalez de Prado Salas
Logic and Rational Interaction - Dominik Klein
Uncertain Reasoning - Hykel Hosni
The Reasoner (www.thereasoner.org) is a monthly digest highlighting exciting
new research on reasoning, inference and method broadly construed. It is interdisciplinary,
covering research in, e.g., philosophy, logic, AI, statistics, cognitive science,
law, psychology, mathematics and the sciences.
The Reasoner welcomes submissions:
- Submitted articles (100-1000 words)
- Submitted items of news
- Letters
- Conference announcements
- Job announcements
- Advertisements
Jon Williamson, Editor
Federica Russo, Associate Editor
Lorenzo Casini, News Editor
Michael Wilde, Production Editor
Editorial board:
Andrew Aberdein, Humanities and Communication, Florida Institute of Technology
Albert Anglberger, Mathematical Philosophy, Munich
Gustavo Cevolani, Philosophy, Bologna
David Corfield, Philosophy, Kent
George Darby, Philosophy, Kent
Franz Dietrich, CERSES, Paris-Descartes & Economics, East Anglia
Catarina Dutilh Novaes, Philosophy, Groningen
Maria Jose Garcia Encinas, Philosophy, Grenada
Ulrike Hahn, Psychology, Cardiff
Jeffrey N. Helzner, Philosophy, Columbia
Dawn Holmes, Statistics and Applied Probability, California Santa Barbara
Kevin Korb, Information Technology, Monash
Mary Leng, Philosophy, York
Sabina Leonelli, Sociology & Philosophy, Exeter
Bert Leuridan, Philosophy, Ghent
Phyllis Illari, Science & Technology Studies, UCL
Caterina Marchionni, Philosophy, Helsinki
Matteo Morganti, Philosophy, Rome 3
Wendy Parker, Philosophy, Ohio
Niki Pfeifer, Philosophy, Munich
Gabriella Pigozzi, Computer Science and Decision Making, Paris Dauphine
Amit Pundik, Law, Tel Aviv
Jan-Willem Romeijn, Philosophy, Groningen
Georg Schiemer, Mathematical Philosophy, Munich
Sonja Smets, Logic, Language and Computation, Amsterdam
Jan Sprenger, Philosophy, Tilburg
Katie Steele, Philosophy, Logic & Scientific Method, LSE
Zach Weber, Philosophy, Otago
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========================================================================Date: Wed, 30 Jan 2013 17:53:25 +0000
Reply-To: Scarf Philip <[log in to unmask]>
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From: Scarf Philip <[log in to unmask]>
Subject: MathSport International 2013 - Extended deadline (Feb 8)
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Message-ID: Dear allStat, Postdoctoral Research Fellow in Bayesian
Statistics, QUT, Brisbane We seek a
motivated person to advance the development of novel Bayesian methodology
including statistical experimental design with excellent theoretical and
computational skills. Ideally, applicants will have recently been awarded a
PhD, or are in the final submission stage, and can provide evidence of research
expertise and the ability to interact effectively with research collaborators.
Women, Indigenous Australians and Torres Strait Islander people are strongly
encouraged to apply. Position Title: Postdoctoral
Research Fellow in Statistics Reference: 12086 Closes: 22
February 2013 Organisational Area: Statistical
Science Discipline Mathematical
Sciences School Science
and Engineering Faculty Salary Range/Classification: $78 542 to $93 277 pa (LEVB) Plus Superannuation: employer contribution Status: Fixed-term
for 2 years Contact: Tony
Pettitt Professor +61
7 3138 2309 HR
Contact: Belinda
Smith HR
Advisor +61
7 3138 4151 Open to:
Australian and International
applicants When
applying for this position we encourage you to upload your response to the
selection criteria. This position involves research into applied
Bayesian statistics including Bayesian design of experiments. The position
would suit a candidate holding a PhD in statistics, or in the final stages of
submission, in areas related to Bayesian statistics, experimental design,
Bayesian design or who has only a few years of experience since obtaining their
PhD. They should have strength in analytic and computational methods. Other
areas of statistics or related disciplines will be considered. The Postdoctoral Research Fellow will be part of a
team involved in research associated with Australian Research Council Discovery
Projects investigating novel approaches to applied Bayesian statistics and
Bayesian experimental design which involves collaboration inside and outside
the University, both nationally and internationally. The
successful appointee will advance applied
Bayesian statistics including experimental design through the development of
novel Bayesian methodology with a grounding in high impact applications. They will collaborate with experts in Bayesian
statistics and will be a part of the growing Statistical Science Discipline.
They will have an opportunity to be involved in various aspects of the
School’s diverse research and academic activities. The appointee will conduct research on behalf of,
and in conjunction with, the project team and report to the Project Leaders,
Professor Tony Pettitt (Professor, Mathematical Sciences) and Dr James McGree
(Senior Lecturer, Mathematical Sciences). The position will liaise with
stakeholders in the research project which involves statisticians who are
collaborators in Lancaster, Southampton UK and Dublin, Ireland and with
statisticians and other disciplines in Brisbane. In the recent
2012 Excellence in Research for Australia (ERA) exercise undertaken by the
Commonwealth Government, the quality of our research capability was assessed at
'4 out of 5' or 'above world standard' for Statistical Science as well as in
the broader Mathematical Sciences. Mathematical
Sciences is located on the Gardens Point campus of QUT, which borders the City
Botanical Gardens and the Brisbane River in the city centre of Brisbane and the Statistical Science Discipline is situated in the new
state-of-the-art $230 million Science and Engineering Centre in the heart of
our Gardens Point campus. For further information about Brisbane, please visit
www.ourbrisbane.com. The Statistics
Discipline within the School has an international reputation for Bayesian
statistics and machine learning through the work of Australian Research Council
(ARC) Laureate Fellow, Professor Peter Bartlett, Professor Kerrie Mengersen and
ARC Professorial Fellow, Professor Tony Pettitt. The Statistics Discipline
carries out research into theoretical and computational Bayesian statistics,
machine learning, applied statistics and design of experiments. The Statistics
Discipline is a highly collaborative group with a focus on cross-disciplinary
research of high quality and impact to solve real world problems of global
significance. Further
information on the school is available at: http://www.qut.edu.au/science-engineering/about/about-the-faculty/school-of-mathematical-sciences Essential: 1.
PhD
(completed or under examination) in statistics or a discipline area relevant to
the project. 2.
High level
written communication skills with a demonstrated publication record and
experience in assisting with the preparation and writing of refereed research
publications. 3.
High level
interpersonal skills with demonstrated ability to establish and maintain
effective working relationships with people both internal and external to an
organisation. 4.
High level
oral communication skills with a demonstrated ability to present information at
seminars or conferences. 5.
Demonstrated
computer literacy with a proven ability in programming and data analysis, using
software such as R and/or MATLAB. 6.
Demonstrated ethical standards in research including
an ability to protect intellectual property. 7.
Demonstrated
knowledge of workplace health and safety principles, which will enable the
appointee to implement these principles at an appropriate level. Desirable: 1. Strong theoretical and/or analytical statistics
background with a capacity to develop research using Variational Bayes methods. 2. Experience of Applied Statistics 3. Experience with development of Bayesian
computational techniques such as Markov chain Monte Carlo and Sequential Monte
Carlo 4. Experience in assisting with the
preparation and writing of applications for research funding. 5. Experience in optimal statistical
experimental design. (Please note that my days of
work have changed to Tuesday, Wednesday's and Thursday's) Dow Jaemjamrat | Administrative Assistant | QUT |Science and
Engineering Faculty NEW Ph: +61 7 3138 0359 |Mob: +61423 873 774|Email:
[log in to unmask] / CRICOS Provider Code: 00213J. This email is intended solely for the addressee. It may
contain private or confidential information. If you are not the intended
addressee, you must take no action based on it, nor show a copy to anyone.
Kindly notify the sender by reply email. Opinions and information in this email
which do not relate to the official business of the Queensland University of
Technology shall be understood as neither given nor endorsed by the University.
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========================================================================Date: Thu, 31 Jan 2013 09:27:22 +0000
Reply-To: Short course Administrator <[log in to unmask]>
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From: Short course Administrator <[log in to unmask]>
Subject: University of Bristol short courses in research methods
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The School of Social and Community Medicine at Bristol University provides a programme of high quality intensive short courses in health services research, biostatistics, human genetics and epidemiological methods. There are still places available on the following courses.
Apologies for cross posting.
Course Title Dates
Understanding Health Inequalities 18th February 3013
Applied Health Protection 08 March 2013
Introduction to Stata (C) 19-20 March 2013
Critical Appraisal of Quantitative Research Methods (B) 22 March 2013
Critical Appraisal of Published Qualitative Research 18 April 2013
Basic Genetics and Genomics 22-23 April 2013
Genetic Association Studies 24-25 April 2013
Advanced Genetics and Genomics 26 April 2013
Advanced Stata 07-8 May 2013
Stata Programming 09 May 2013
Introduction to Linear and Logistic Regression Models 13 -17 May 2013
Rates and Survival Analysis: Poisson, Cox and
Parametric Regression Models 03 – 06 June 2013
Systematic Reviews In Health Care: Meta-Analysis in
Context 10 -12 June 2013
Advanced Meta-Analysis 13 -14 June 2013
Qualitative Research in Randomised Trials 18 June 2013
Advanced Epidemiological and Statistical Methods 24 -28 June 2013
Please visit our website
http://www.bristol.ac.uk/social-community-medicine/shortcourse
for further details and booking information.
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========================================================================Date: Thu, 31 Jan 2013 10:01:28 +0000
Reply-To: Cathryn Lewis <[log in to unmask]>
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From: Cathryn Lewis <[log in to unmask]>
Subject: PhD STUDENTSHIP in statistical genetics, King's College London
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MRC CASE PhD studentship in statistical genetics
MRC Social, Genetic and Developmental Psychiatry Centre
Institute of Psychiatry
King’s College London
We have funding for a four year MRC CASE PhD studentship in statistical genetics, in collaboration with Professor David Collier at Eli Lilly and Company Ltd, at Erl Wood, Surrey, UK, to develop methods to integrate biomarkers and genetics in the clinical trials pipeline.
A major challenge for personalized medicine is to identify biomarkers that predict response to therapeutics. This project will focus on genotype information from Phase II clinical trials, identifying the most promising genetic variants to test further in Phase III trials. This research will establish the characteristics of genetic biomarkers that are both predictive and will translate into an economically successful test. This PhD research will develop and assess approaches for building biomarker prediction models that have clinical utility. This presents an exciting opportunity to develop cutting edge tools for the analysis of clinical and genetic data that will be applied to on-going studies.
The studentship is for 4 years full time, from September 2013. It includes home fees and a full maintenance stipend of approximately £18,000 per annum. The project will be jointly supervised by Professor Cathryn Lewis and Dr Mike Weale (KCL) and Professor David Collier and Dr Bonnie Fijal at Eli Lilly. The student will be part of the Statistical Genetics Unit at KCL, a thriving research group with twenty researchers, and will have the opportunity to spend at least three months in total at Eli Lilly during the studentship.
Applicants are expected to have obtained a good undergraduate degree at upper second class honours (2:1) or above. Students should have an academic background in mathematics or statistics, although those from a life sciences background with strong analytical skills are also encouraged to apply. Full training in statistical genetics will be provided. Students should have the ability to work independently, with effective written and oral communication skills.
Before applying, please ensure that you are eligible for MRC PhD studentship funding (http://www.mrc.ac.uk/Fundingopportunities/Applicanthandbook/Studentships/Eligibility/index.htm). Applicants should be UK/EU nationals and resident in the UK for three years prior to starting the PhD.
For enquiries regarding the PhD, please contact Professor Cathryn Lewis ([log in to unmask]) and see http://www.kcl.ac.uk/iop/research/pgr/phdstudentships/MRC-CASE-PhD-studentship-in-statistical-genetics.aspx.
Apply online at https://myapplication.kcl.ac.uk/ choosing the SGDP Traditional PhD programme and quote reference “MRC CASE Lillyâ€. Please upload a separate personal statement outlining your suitability and why you are interested in pursuing a PhD in this area (leave the Personal Statement and Research Proposal sections of the form blank).
Deadline for applications is 9am Monday 25th February.
Cathryn Lewis
Professor of Genetic Epidemiology and Statistics , King's College London
http://www.kcl.ac.uk/medicine/research/divisions/gmm/Departments/mmg/researchgroups/clewis/sgu/index.aspx
Division of Genetics and Molecular Medicine, KCL School of Medicine
Tel: 44-(0)20-7188-2601. Fax: 44-(0)20-7188-2585
and
MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, KCL
Tel: 44-(0)20-7848-0661, Fax: 44-(0)20-7848-0866
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========================================================================Date: Thu, 31 Jan 2013 11:03:30 +0000
Reply-To: "Pye, Karen (pyek2)" <[log in to unmask]>
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From: "Pye, Karen (pyek2)" <[log in to unmask]>
Subject: CONFERENCE: RSC2013
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We are delighted to announce that the deadline for registration and payment for RSC2013 has been extended to the 15th February. The deadline for abstract submission is also the 15th February.
We hope that this extension will allow some of you more time to consider attending RSC and look forward to welcoming you to Lancaster in March.
On behalf of the organising committee,
Karen Pye
(Committee Chair)
http://www.maths.lancs.ac.uk/~rsc2013/
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========================================================================Date: Thu, 31 Jan 2013 11:06:58 +0000
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From: Sarah Miller <[log in to unmask]>
Subject: COURSES: Biomarkers & Genetics for Social Scientists, April 2013,
LSHTM
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An Introduction to Biomarkers / Genetics for Social Scientists
London School of Hygiene and Tropical Medicine
Two one-day courses
Thursday 4 April 2013: Biomarkers for Social Scientists
Friday 5 April 2013: Genetics for Social Scientists
Bookings: http://www.ncrm.ac.uk/training/booking/index.php?user=PATH
Run by Pathways, a node of the ESRC National Centre for Research Methods (NCRM)
Email: [log in to unmask], Website: http://pathways.lshtm.ac.uk/
Twitter: @PathwaysNCRM
More details:
BIOMARKERS for Social Scientists:
New approaches to studying associations between social factors and health include making use of data on biomarkers, now available in an increasing number of UK datasets. However, fully exploiting these data requires an understanding of what they are measuring, how they are collected, their biological variability and the associated measurement issues that derive, for example, from how specimens are collected and stored.
AIMS - this introductory course will review these issues using examples based on biomarkers available in mainstream UK studies, such as the English Longitudinal Study of Ageing.
GENETICS for Social Scientists:
Recent years have seen an explosion in the incorporation of genetic data into UK datasets. The availability of these data allows researchers to take new approaches in studying associations between social factors and health. To take advantage of these opportunities researchers require knowledge about the basic concepts and terminology of molecular biology and genetic epidemiology, as well as the current context and prospects for genetics research.
AIMS - This introductory course will set the context for the current growth in genetic data and explain the basic principles of DNA and inheritance. Examples from behavioural research will be described and some future developments will be discussed.
Thank you, we look forward to seeing you there!
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========================================================================Date: Thu, 31 Jan 2013 11:36:39 +0000
Reply-To: Linsay Gray <[log in to unmask]>
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From: Linsay Gray <[log in to unmask]>
Subject: COURSE: Introduction to systematic reviews of complex
interventions
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Dear all,
We would like to draw your attention to the following course organised
by the MRC Social & Public Health Sciences Unit, Institute of Health &
Wellbeing, University of Glasgow.
Title: Introduction to systematic reviews of complex interventions
Date: 16-17 April 2013
Place: Grosvenor Hilton, Great Western Road, Glasgow, UK
The course aims to provide participants with an introduction to:
• the key principles of systematic review and evidence synthesis
• planning and conducting a systematic review of interventions
• managing a review which includes diverse sources of evidence
(different study designs, qualitative & quantitative data), and multiple
outcomes
The course will cover the principles of systematic review and evidence
synthesis. A mix of lectures and workshops will be used to teach the key
steps in conducting a systematic review, and the course will draw on
examples of reviews of social interventions conducted by those providing
the course. The course will focus on the challenges and ways of managing
issues arising in reviews of complex interventions. These include:
selecting appropriate search terms and sources; critical appraisal of
non-randomised studies; incorporation of qualitative data; and narrative
synthesis. This is a short course and will only be able to provide an
introduction to each aspect of a review. A short session on
meta-analysis will be provided but this will not be the focus of this course
More info:
http://www.gla.ac.uk/researchinstitutes/healthwellbeing/newsandevents/introductiontosystematicreviewsofcomplexinterventions/
Please contact Elaine Wilson at [log in to unmask] for
further details.
Best wishes,
Linsay Gray on behalf of Hilary Thomson
--
Dr Linsay Gray
Senior Investigator Scientist
MRC/CSO Social and Public Health Sciences Unit
4 Lilybank Gardens
Glasgow
UK
G12 8RZ
Tel: 00 44 (0)141 357 7540
Fax: 00 44 (0)141 337 2389
Email: [log in to unmask]
Web: http://www.sphsu.mrc.ac.uk/staff.php?staffID=LG
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========================================================================Date: Thu, 31 Jan 2013 14:02:42 +0000
Reply-To: Mark Lunt <[log in to unmask]>
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From: Mark Lunt <[log in to unmask]>
Subject: JOB: Lecturer / Senior Lecturer in Medical Statistics,
University of Manchester
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The University of Manchester is recruiting for a Lecturer / Senior Lecturer in
Medical Statistics. More information and to apply visit -
https://www.jobs.manchester.ac.uk/DisplayJob
Advert:
You will provide statistical support for projects funded by and related to the
NIHR Manchester Musculoskeletal Biomedical Research Unit theme: Treating
arthritis: right first time. The ultimate aim of this programme of work is to
develop algorithms to guide treatment decisions based on patient centred
computational models. You will take the lead in developing these models which
aim to provide the clinician with probabilities that the individual patient
will respond to each of the treatments appropriate for that stage of disease,
as well as the probability of side effects and new co-morbidities based on,
for example, their age, sex, smoking status and disease characteristics. The
models will be populated with the results of the studies conducted within the
BRU and from other published work. You will be based in the Centre for
Musculoskeletal Research in the Institute of Inflammation and Repair of the
Faculty of Medical and Human Sciences and be an affiliated member of the
Centre for Biostatistics in the Institute of Population Health.
To be appointed as a Lecturer you will require a good first degree, a
substantial part of which relates to statistics or equivalent. You will also
have a PhD in statistics, or the equivalent experience as a statistician and
have familiarity with statistical software packages such as STATA, SAS, SPSS,
and/or SPLUS.
In addition to the above, to be appointed as a Senior Lecturer you need to
have an established reputation in research, teaching and consulting. You will
also have an extensive track record of published high quality research.
The post is fixed term and is tenable up to 31st March 2017.
Informal enquiries
Informal enquiries can be made to Professor Deborah Symmons:
Email: [log in to unmask]
Telephone: 0161 275 5044
The University of Manchester values a diverse workforce and welcomes
applications from all sections of the community.
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========================================================================Date: Thu, 31 Jan 2013 14:16:52 +0000
Reply-To: Mylene Paumier <[log in to unmask]>
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From: Mylene Paumier <[log in to unmask]>
Subject: CK Clinical - "Looking for a Snr Statistical Programmer"
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Dear AllStat,
CK Clinical is recruiting for a Snr Statistical Programmer to a global pharmaceutical company at their site based in Switzerland on a permanent basis.
As Snr Statistical Programmer, your responsibilities will include the following:
- Coordinate the programming activities for an individual phase I-IV clinical trial, small indication, or publication under the supervision of the Program Programmer / Group Head.
- Lead the trial/indication team including resources planning and coordination of the different programming sites
- Make certain that study/indication documents and specifications are consistent and comply with company standards by providing input into Study protocol, CRF and Data structures and outputs (listings, tables and figures).
- Program according to specifications, analysis datasets, pooled datasets, listings, tables and figures for phase I-IV clinical trials and for SCS and SCE with high quality and within milestones.
- Develop programming specifications for analysis datasets, pooled datasets and deliverables in consultation with the statistician.
- Develop and comply with project/study programming standards and specifications following internal guidelines.
- Support quality control and quality audit of deliverables.
- Participate as required at all meetings, discussions and activities covering aspects of Statistical Reporting on trial/indication/project level activities.
- Track clinical trial/indication milestones for statistical reporting deliverables.
- Maintain efficient interfaces with internal and external customers and communicate effectively across line functions.
- Mentor junior programmers.
As Statistical Programmer, you will have the following qualifications, skills and experience:
- University/Bachelor/Master's degree in Mathematics, Statistics, Data Analysis Program or Computer Science (or equivalent degree with experience).
- Fluent English (oral and written)
- Ability to coordinate programming work across a clinical study.
- Experience using SAS in the analysis and the reporting of pharmaceutical data (in Oncology therapeutic area would be desirable)
- Working knowledge and expertise with SAS (including SAS macro language)
- Working knowledge of database design/structures
- Good understanding of global clinical trial practices, procedures and methodologies.
- Good understanding of regulatory requirements (e.g. GCP, ICH)
For more information or to apply for this Snr Statistical Programmer position, please contact Mylene Paumier on +44 (0)207 470 5672 Dear AllStat, CK Clinical is recruiting for a Snr Statistical Programmer to a global pharmaceutical company at their site based in Switzerland on a permanent basis. As
Snr Statistical Programmer, your responsibilities will include the following:
- Coordinate the programming activities for an individual phase I-IV clinical trial, small indication, or publication under the supervision
of the Program Programmer / Group Head. - Lead the trial/indication team including resources planning and coordination of the different programming sites - Make certain that study/indication documents and specifications are consistent and comply with company standards by providing input into
Study protocol, CRF and Data structures and outputs (listings, tables and figures).
- Program according to specifications, analysis datasets, pooled datasets, listings, tables and figures for phase I-IV clinical trials and
for SCS and SCE with high quality and within milestones. - Develop programming specifications for analysis datasets, pooled datasets and deliverables in consultation with the statistician.
- Develop and comply with project/study programming standards and specifications following internal guidelines.
- Support quality control and quality audit of deliverables.
- Participate as required at all meetings, discussions and activities covering aspects of Statistical Reporting on trial/indication/project
level activities. - Track clinical trial/indication milestones for statistical reporting deliverables.
- Maintain efficient interfaces with internal and external customers and communicate effectively across line functions.
- Mentor junior programmers. As
Statistical Programmer, you will have the following qualifications, skills and experience: - University/Bachelor/Master’s degree in Mathematics, Statistics, Data Analysis Program or Computer Science (or equivalent degree with experience).
- Fluent English (oral and written)
- Ability to coordinate programming work across a clinical study.
- Experience using SAS in the analysis and the reporting of pharmaceutical data (in Oncology therapeutic area would be desirable)
- Working knowledge and expertise with SAS (including SAS macro language)
- Working knowledge of database design/structures
- Good understanding of global clinical trial practices, procedures and methodologies.
- Good understanding of regulatory requirements (e.g. GCP, ICH) For more information or to apply for this Snr Statistical Programmer position, please contact Mylene Paumier on
+44 (0)207 470 5672 or email:
[log in to unmask]" target="_blank">[log in to unmask].
Best regards, Mylene Mylene Paumier European Recruitment Consultant CK Clinical Limited Crown House 72, Hammersmith Road London W14 8TH DD: +44 (0)207 470 5672 Tel: +44 (0)207 470 5670 CK Clinical, CK IT, CK Regulatory and CK Science are trade names of CK Associates Limited Registered in England No 2611749 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).
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========================================================================Date: Thu, 31 Jan 2013 14:42:28 +0000
Reply-To: "Girolami, Mark" <[log in to unmask]>
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From: "Girolami, Mark" <[log in to unmask]>
Subject: Job: Research Associate - University College London
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ENGAGE: Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research
Our vision is to establish and lead a new theme in ICT research based on Interactive Machine Learning (IML). Our expansion of IML will give scientists and non-ICT specialists unprecedented access to cutting-edge Machine Learning algorithms by providing a human-computer interface by which they can directly interact with large scale data and computing resources in an intuitive visual environment. In addition, the outcome of this particular project will have a direct transformative impact on the sciences by making it possible for non-programming individuals (scientists), to create systems that semi-automatically detect objects and events in vast quantities of A) audio and B) visual data. By working together across two parallel, highly interconnected streams of ICT research, we will develop the foundations of statistical methodology, algorithms and systems for IML. As an exemplar, this project partners with world leading scientists grappling with the challenge of analysing enormous quantities of heterogeneous data being generated in Biodiversity Science.
Duties and Responsibilities
The Research Associate will work with Professor Mark Girolami on the EPSRC funded project ENGAGE: Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/K015664/1. The aim of the project is to establish and lead a new theme in ICT research based on Interactive Machine Learning (IML). This expansion of IML will give scientists and non-ICT specialists unprecedented access to cutting-edge Machine Learning algorithms by providing a human-computer interface by which they can directly interact with large scale data and computing resources in an intuitive visual environment.
The post is available from March 2013 (or as soon as possible thereafter) and is initially funded for 36 months.
Key Requirements
Candidates should hold a PhD (or equivalent qualification) in Statistical Pattern Recognition, Machine Learning, or Information Retrieval. It is essential that the successful candidate will possess extensive and current working experience of developing Computational Bayesian methods, in particular MCMC and Manifold MCMC schemes.
Further Details
A job description and person specification can be accessed at the following URL, together with some details about the department.
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1309570
https://www.ucl.ac.uk/statistics/department/jobs/
Informal enquiries regarding the vacancy may be addressed to Professor Mark Girolami, email: [log in to unmask]
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========================================================================Date: Thu, 31 Jan 2013 17:10:58 +0100
Reply-To: Anthony Davison <[log in to unmask]>
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From: Anthony Davison <[log in to unmask]>
Subject: JOB: Post-doctoral position at EPFL, Switzerland
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Post-doctoral research assistant
Applications are invited for the position of Postdoctoral Researcher at the Institute of Mathematics of theEcole Polytechnique Fédérale de Lausanne (EPFL).
The post-doc will work on both theoretical and applied topics within the broad domain of statistics of extremes. Applied topics are data analysis pertaining to the exposure to natural hazards of Swiss nuclear installations, and the creation of benchmark analyses for trends and extremes of environmental data. More theoretical topics include various aspects of space-time extremal modelling (e.g., the evolution of heatwaves) and generic modelling of different types of extremal dependence.
The position will be in the Chair of Statistics, held by Anthony Davison.
Candidates for this Postdoctoral position should hold a PhD in Statistics, Mathematics or a related field. Prior knowledge and experience of statistics of extremes would be an advantage. Knowledge of French is not a requirement, but will be helpful. The position is for two years in the first instance, with a possibility of extension for a further year.
Candidates should send:
CV (including the names and addresses of three referees)
List of publications.
A research statement.
One reprint/preprint.
Review of applications begins immediately and continues until the positions are filled. Short-listed candidates may be invited for an interview.
All files should be sent as attachments in PDF format to the Chair's secretary, Nadia Kaiser:
[log in to unmask]
including a brief cover letter in the main body of the email and subject: Application for Postdoc.
Candidates should ask their three referees to send their letters directly to the same email address.
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========================================================================Date: Thu, 31 Jan 2013 18:54:40 +0000
Reply-To: Percy David <[log in to unmask]>
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From: Percy David <[log in to unmask]>
Subject: MEETING: Maintenance of Complex Systems (Salford, UK)
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The Mathematical Methods in Reliability Joint Research Group comprising Frank Coolen (Durham), John Quigley (Strathclyde), Keming Yu (Brunel) and Dave Percy (Salford) is hosting a second one-day meeting at the University of Salford on Friday 22nd March 2013, with the theme Maintenance of Complex Systems. There is a full programme of talks and details are available at the website below.
You are welcome to attend, subject to advance notice and sufficient capacity - 16 of the 30 places are already taken. There is no fee and free refreshments will be provided: drinks and biscuits at 10.30am; a light lunch at 12.50pm. Salford Crescent railway station is a short stroll from the Maxwell Building and parking is available at £5 for 6 hours in front of Salford Museum and Library (access from the Crescent).
If you would like to attend, it is important that you contact me directly so that I can confirm whether space is available. The consortium is partly funded by the London Mathematical Society, more details (including a programme and map) are available on its website - http://maths.dur.ac.uk/stats/people/fc/LMS-Reliability.html - and I apologise if you receive more than one copy of this message.
The Mathematical Methods in Reliability Joint Research Group comprising Frank Coolen (Durham), John Quigley (Strathclyde), Keming Yu (Brunel) and Dave Percy (Salford) is hosting a second one-day meeting at the
University of Salford on Friday 22nd March 2013,
with the theme Maintenance of Complex Systems.
There is a full programme of talks and details are available at the website below. You are welcome to attend, subject to advance notice and sufficient capacity - 16 of the 30 places are already taken. There is no fee and free refreshments will be provided: drinks and biscuits at 10.30am; a light lunch at 12.50pm. Salford Crescent railway
station is a short stroll from the Maxwell Building and parking is available at £5 for 6 hours in front of Salford Museum and Library (access from the Crescent). If you would like to attend, it is important that you contact me directly so that I can confirm whether space is available. The consortium is partly funded by the London Mathematical Society, more details (including a programme and map) are available on
its website - http://maths.dur.ac.uk/stats/people/fc/LMS-Reliability.html - and I apologise if you receive more than one copy of this message.
Professor D. F. Percy
BSc (Hons), DIS, PhD, CMath, FIMA, CSci North West Branch Chairman, Institute of Mathematics and its Applications Associate Director, Centre for Sports Business
| Salford Business
School Room 320, Maxwell Building, University of Salford, Manchester, M5 4WT, UK t:
+44 (0) 161 295 4710 | e: [log in to unmask] DISCLAIMER: This e-mail is confidential and privileged. If you are not an intended
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I have numerous opportunities for Analysts in
- Data Analyst
- Machine Learning Analyst
- Statistical Analyst
- Commercial Analyst
- Quantitative Analyst
Various sectors including Finance, Retail, Big Data, Business Analytics, Data Mining, Data Visualisation, Marketing, etc.
Whether you have a strong analytical degree or a PhD I'm keen to hear from you. Please send your CVs to
[log in to unmask].
Redrock Consulting Ltd
M: +44(0) 7427 653 825
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STATISTICS AND SCIENTIFIC DEVELOPMENT
FROM 1-3 SEPTEMBER 2013
THE LAST DATE TO SUBMIT ABSTRACTS 5 JUNE 2013
THE LAST DATE TO SUBMIT COMPLETE CONTRIBUTED PAPERS 15 JULY 2013
A SPECIAL INVITED SESSIONS WILL BE HELD TO HONOUR THE MEMORY OF THE LATE PROF. ABDELMOURDY AZZAAM AND PROF. YEHIA ELBASOUNY.
THE ACCEPTED PAPERS WILL BE PUBLISHED AT HIGH RANKED JOURNAL.
A GRADUATION CEREMONY FOR THE FIRST CERTIFIED SAS PROGRAMERS GROUP TRAINED AT ALEXANDRIA UNIVERSITY ACCORDING TO THE ACADEMIC PROGRAM WITH SAS WILL BE HELD.
FOR MORE INFORMATION VISIT OUR PAGE ON THE FACEBOOK "ALEXANDRIA INTERNATIONAL CONFERENCE OF STATISTICS"
OR CONTACT THE CONFERENCE COORDINATORS:
PROF. MAHMOUD GABR
PROF. OSAMA HUSSIEN [log in to unmask]
--
Chairman of the Department of Statistics
Faculty of Commerce
Alexandria University
Egypt
A career in medical statistics gives an opportunity to be involved
in research of direct benefit to people, from public health research
through to drug development. Work is characterised by stimulating
practical problems and interactions with researchers from other disciplines.
Graduates from our MSc typically go on to pursue careers in medical
and epidemiological research in academic institutions, hospitals,
the pharmaceutical industry and various public sector institutions.
statisticians so job prospects are excellent.
are available each year for UK/EU applicants.
go to: http://www.lshtm.ac.uk/study/masters/msms.html
............................................................
Course Director Medical Statistics MSc
Medical Statistics Department
London School of Hygiene & Tropical Medicine
Tel: +44 (0) 20 7927 2426 - direct
Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour
For further details or a confidential conversation please email
[log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665
Requirements:
At least 4/5 years of SAS programming experience in pharmaceutical and/or CRO environment as a data management programmer or statistical programmer
Very good SAS programming knowledge (Base SAS, SAS/GRAPH, SAS/STAT, macro programming, reporting, SQL), familiarity with ODS RTF/ HTML
Knowledge of the data management process in clinical drug development
Good knowledge of medical coding processes, standards and issues
Expertise in working with pooled, safety and efficacy data
Good analytical skills
Excellent interpersonal and team working skills
Good communication and presentation skills, both oral and written
Knowledge of regulatory requirements, e.g. CDISC Standards, ICH guidelines for statistical reporting
Comprehensive knowledge of clinical and pharmaceutical drug development process and GCP requirements
Multiple phase experience in clinical research
The ability to work independently and prioritise one’s own workload
Advantageous:
A sound understanding of basic statistical principles and the basics of statistical programming
Experience in safety data analysis
Programming skills in any of the following: JavaScript/VBScript, Java, VBA, XML, XSLT, SQL, Microsoft Excel
Exposure to investigational new drug application (IND) annual reports and Development Safety Update Reports (DSURs)
Experience of signal detection in clinical data
For further details or a confidential conversation please contact me directly:
Doug Roberts
Pharmaceutical, Healthcare & CRO Division
Statistics, Biostatistics & Programming
Tel: +44 (0) 207 255 6665
[log in to unmask]
Pharmaceutical, clinical trials, senior programmer, statistical SAS programmer, SAS, programmer, programming, CDISC, ADaM, SDTM, biostatistics, biostatistician.
__________________________________________________________________________________________________________________________
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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
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information by or to SEC Recruitment Limited.
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The Institute for Social and Economic Research (ISER) at the
University of Essex wishes to appoint two Professors within its
internationally recognised and multi-disciplinary research team.
ISER (www.iser.essex.ac.uk) is home to the ESRC Research Centre on
Micro-social Change (MiSoC) and the ESRC UK Longitudinal Studies
Centre (ULSC) which conducts the new UK household longitudinal
study, Understanding Society.
At least one of the Professorial posts will focus on health-related
research which might include, for example, life course epidemiology,
health economics, or medical sociology. Other key areas are (i)
income, consumption, and material well-being, and (ii) statistical
methods. While we seek applications in these three key areas,
applications which are relevant to other areas of ISER’s research
portfolio are also welcome.
We seek talented and highly motivated individuals with experience of
leading research programmes and a distinguished publication record.
The successful candidates will have a higher degree in a relevant
social science discipline and an established professional reputation
in their field. They will provide research leadership, stimulate
innovative research, attract large scale research funding, and
develop ISER’s research portfolio in the future.
Please use the link below for a full job description, person
specification and further information relating to this post. Please
read this information carefully before applying for this post as it
contains details of documents that must be attached to your
application. Applications should be made on-line, but if you would
like advice or help in making an application, or need information in
a different format, please telephone (01206 874588/873521).
Salary will be commensurate with experience. Closing date for
application is 20 January 2013.
Further information about this post at http://icheevoo.notlong.com
*************************************
Peter Lynn
Professor of Survey Methodology
e: [log in to unmask]
twitter: @ProfPeterLynn
web: www.iser.essex.ac.uk/people/plynn
tel: +44 (0)1206 874809
fax: +44 (0)1206 873151
mail: Institute for Social and Economic Research (ISER),
University of Essex, Colchester, UK CO4 3SQ
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and are intended solely for the use of the individual to whom it
is addressed.
Any views or opinions expressed are solely those of the author
and do not necessarily represent those of the Institute for
Social and
Economic Research. If you are not the intended recipient of this
email, please permanently delete it. You must neither take any
action
based upon its contents, nor copy or show it to anyone. Please
contact the sender if you believe you have received this email
in error.
Key Responsibilities:
- Execute and/or manage discrete projects related to disease understanding relevant to drug development and clinical trials- Conduct Literature reviews
- Draft sections of Epi Packages or other similar descriptive epidemiology documents for internal or external audiences
- Manage studies using databases available within the Epi Dept
2. Summarize information from completed studies for inclusion in regulatory documents, internal study reports, or Powerpoint slides for presentations
3. Provide project management and communication support for large, complex epidemiology collaborative studies
- Schedule meetings, track timelines, monitor budgets, draft meeting minutes / decision logs
- Post and maintain repository of relevant references for team
- Maintain research agreements with External Experts for SHARP
Requirements:
- MSc, MPH or MSPH in Epidemiology required; PhD/Doctorate or MD with MSc (MPH) in epidemiology preferred.
- Prior experience conducting and/or supporting epidemiologic research.
- Ability to resolve problems through resourceful use of information and contacts.
- Ability to work well within a business-driven environment, balance priorities and handle multiple tasks through good planning, project administration, and organisation skills.
- Excellent communication skills to interact effectively with multiple epidemiologists, database analysts, and teams.
Delivery Consultant
Six Sigma Yellow Belt
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University of Surrey, UK, in the field of process control and process
chemometrics, entitled "Minimising Energy Consumption in the Water
Industry: A Robust Model-Based Optimal Control Approach". The
candidate should have a good degree ideally in chemical process or
industrial engineering, or other disciplines with substantial exposure
to quantitative methods (such as electronic or mechanical
engineering). Prior experience in computer programming is a plus.
Prior experience in data-based modelling, chemometrics, optimisation
or automatic control is a district advantage. Work experience in the
environmental and water industries is looked upon favourably.
The nature of EngD requires a combination of technical and
transferable skills. The candidates must be capable of working across
a range of academic and professional disciplines, and in a complex
organisational structure. Critical and innovative thinking is vital.
The successful candidate will be primarily based in the company
premises at Warrington, Cheshire, UK with regular visits to the
University for training and meeting purposes.
The EngD lasts for four years combining PhD-level research projects
with taught courses, and students spend about 75% of their time
working directly with a company. Tuition fee will be covered, plus c.
£19,700 annual stipend tax free, and dedicated training budget for
workshops and conferences. Candidates must have a “settled status” in
the UK (no restrictions on how long you can stay), been “ordinary
resident” in the UK for the past 3 years (see
http://www.epsrc.ac.uk/funding/students/Pages/eligibility.aspx ).
Interested candidates please send your CV with cover letter to Dr Tao
Chen ([log in to unmask]) to initiate informal discussions. Formal
application procedures will follow soon on the University of Surrey
website.
It will include lectures, exercises, discussion sessions, and practical experience in the design of a research proposal. The course will be of interest to epidemiologists, public health professionals, statisticians, and clinicians.
Priority will be given to IEA members. Participants must attend the entire course from 9 a.m. Monday, April 15 to 1p.m. Friday, April 26.
Delivery Consultant
Six Sigma Yellow Belt
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We currently have a number of PhD studentships available in Statistics. All studentships pay full UK/EU tuition fees plus a maintenance stipend of a minimum £13,590 per annum (tax free). We welcome applications from UK/EU and non-EU applicants with eligibility
criteria applying to some studentships. The deadline for COMPLETED applications
(including letters of reference) is 4 February, 2013. (PhD applications received after 4 February will be considered for future PhD studentships.)
As one of the UK's most successful statistics groups, the department contains a broad range of interests including Applied Probability, Bayesian and Computational Statistics, Time Series and Extremes, Social Statistics, Medical and Pharmaceutical Statistics.
We welcome applications in any of these areas.
The department provides a thriving research environment, with well over 30 PhD students within Statistics and Probability. It runs an extensive range of postgraduate level courses; it is also a founder member of the UK's Academy for PhD Training in Statistics
(APTS) and has the UK's only doctoral training centre, Stor-i specialising in
Statistics and Operational Research.
For more information, please feel free to contact Dr Peter Neal ([log in to unmask]) and visit our websites
http://www.maths.lancs.ac.uk/department/research/PhD
http://www.maths.lancs.ac.uk/department/research/PhD/funding
I would be most grateful to learn of any
published instances in the medical literature where the chi-square test
of association has been wrongly applied through a failure to appreciate
the need for observations to be independent.
Many thanks in advance
Best wishes
Margaret MacDougall
Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901
www.learnandteachstatistics.wordpress.com
and our fabulous new app AtMyPace: Statistics:
http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8
Sent: 21 January 2013 12:23
To: Gordon, Fabiana
Subject: SPSS COURSE: Intermediate Statistics Using SPSS course at Imperial College
The Nordic-Baltic Region of the International Biometric Society invites you to the 4th Nordic-Baltic Biometric Conference, NBBC13, June 10-12th, to be held in Stockholm, Sweden. We welcome the submission
of abstracts for oral and poster presentations on any topic of interest to members of the International Biometric Society. Details can be found at
http://nbbc13.org/.
Deadline for submitting abstracts: 15 March 2013
Deadline for early registration: 15 April 2013
We are pleased to announce that the following researchers have accepted invitations to speak:
Magne Aldrin, Department of Statistical Analysis, Pattern Recognition and Image Analysis (SAMBA), Norwegian Computing Center, Norway.
Vanessa Didelez, School of Mathematics, University of Bristol, UK.
Mike Kenward, Department of Medical Statistics, London School of Hygiene & Tropical Medicine, UK.
Andrew Morris, Nuffield Department of Clinical Medicine, University of Oxford, UK.
Hannu Oja, Tampere School of Health Sciences, University of Tampere, Finland.
Andrea Rotnitzky, Harvard School of Public Health, Harvard University, USA.
Thomas Scheike, Department of Public Health, University of Copenhagen, Denmark.
Nuala Sheehan, Departments of Health Sciences and Genetics, University of Leicester, UK.
Sara Sjöstedt de Luna, Department of Mathematics and Mathematical Statistics, Umeå University, Sweden.
Aila Särkkä, Department of Mathematical Statistics, Chalmers University of Technology, Sweden.
We are planning an exciting scientific and social program and hope to see you in Stockholm this June.
Yudi Pawitan (Head of the scientific program committee)
Paul Dickman (Head of the local organising committee)
For the Nordic-Baltic Region of the International Biometric Society and the organisers
Non-profit Georgia R School. Until Feb 16 Only.
Take from now until Dec 31 to take all courses, available 24/7, includes exercises, data sets, R scripts, everything provided, including access to the instructor.
You will find that 11 months is not enough time !
More info at http://www.georgia-r-school.org/R-Courses.html
Email questions to [log in to unmask]
Draft statistical text for study concept documents and protocols (study design, endpoints, sample size, methods for analysis)
Draft statistical analysis plans
Draft templates for tables, listings and graphs
Contribute to statistical review and QC of CSRs, clinical publications and other communications
Liaise and communicate with regulatory authorities
Interface with outsourcing partners and vendors
Provide input to and participate in intra-departmental and global Biostatistics meetings
Consults with Medical Writer and Physician to interpretation of efficacy
You’re Requirements:
Msc or PHD in statistics or closely related subjects
Approximately 7-10 years’ experience within the pharmaceutical industry
Must be at a lead level (although no line-management)
Excellent knowledge of protocol authoring, SAP writing, study design
Strong knowledge of regulatory guidance
For further details, please get in touch directly with Russell Gillam +44 (0) 207 255 6665
or send in your updated CV for review, with a paragraph highlighting your relevance for the position
[log in to unmask]
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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 email and destroy any copies of it. If you are not the
intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At
present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit
information by or to SEC Recruitment Limited.
You may leave the list at any time by sending the command
You may leave the list at any time by sending the command
Dear All Greetings,
I am currently faced with the challenge of solving some problems with Transition Functions.
My challenge has to do with proving and estimating the Expectation and Variance of the Logistic Transition function.
Any other recommends, steps or solution to the problem would been greatly appreciated.
Kind Regards
Raphael Yemitan
[log in to unmask]
+2348055455396
These studentships cover academic fees at the Home/EU rate for EU citizens. For UK citizens who are ordinarily resident, a tax-free stipend is also provided (in 2012-13 this is £16,590 which includes an enhancement of £3,000). Those EU citizens who meet EPSRC
residence requirements (see http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm) will receive the same tax-free stipend.
The Department is one of the largest UK concentrations of researchers in statistics and probability and our research covers a wide range of areas. The research environment is vibrant with a large and active community of PhD students. More information regarding
the research activity of the department can be found at http:/www.warwick.ac.uk/go/statistics/research/
Please see http://www.warwick.ac.uk/go/statistics/postgrad/research/ for more details about our PhD programme and the application procedure.
http://bir.biometricsociety.org/events/coxmeeting
The
meeting will include presentations of novel research in event-history analysis,
and a historical perspective on the impact of the 1972 paper. Speakers will be
Bianca De Stavola, Torben Martinussen, Paul Lambert and Robin
Henderson, together with a brief reflection and discussion from David
Cox.
Registration includes lunch, tea and coffee, and is available at
discounted prices for IBS members, at a cost of £35 for full members and £20 for
retired members and students, and £50 for
non-members. (If you need to renew your membership, this can
be done online at http://bir.biometricsociety.org/membership).Accountabilities/Responsibilities:
Essential Skills & Capabilities:
James Carrera
Associate Director
Tel: +44 (0) 207 255 6665
[log in to unmask]
http://uk.linkedin.com/in/jamescarrera
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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 email and destroy any copies of it. If you are not the
intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At
present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit
information by or to SEC Recruitment Limited.
You may leave the list at any time by sending the command
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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 email and destroy any copies of it. If you are not the
intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At
present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit
information by or to SEC Recruitment Limited.
You may leave the list at any time by sending the command
Program according to specifications, analysis datasets, pooled datasets, listings, and figures across several trials with a given compound and regulatory submission
activities
Accountabilities/Responsibilities:
Essential Skills & Capabilities:
Desirable Skills & Capabilities:
Associate Director – SEC Pharma
SEC Recruitment Ltd
Tel: +44 (0) 207 255 6665
[log in to unmask]
http://uk.linkedin.com/in/jamescarrera
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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 email and destroy any copies of it. If you are not the
intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At
present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit
information by or to SEC Recruitment Limited.
You may leave the list at any time by sending the command
Cefas Payband 4: £19,700 - £24,289pa
Permanent Contract
Weymouth
The Epidemiology and Risk team of the Aquatic Health and Hygiene (AHH) Division of Cefas undertakes research and provides advice in support of Defra’s aquatic animal health and environment policies and participate in EU funded research and other collaborations. Research centres on the use of risk assessment, statistical and mathematical modelling approaches to prevent, manage and control animal and human health issues associated with aquatic systems. This work depends largely on desk based analyses that require extraction, compilation and analysis of data from national and in house databases, scientific and grey literature.
You will be responsible for providing technical support to current and future research programmes by compiling and using existing data to understand and model the risk of aquatic animal disease introduction, establishment and spread. You will also be responsible for developing databases to store information from ongoing and future epidemiological studies. The role will also include the use of abstract and literature databases to support epidemiological studies, undertaking systematic literature reviews and compiling reference libraries. In addition to data management, opportunities exist to undertake statistical analyses.
Highly computer literate, and competent in setting up and using spreadsheets and databases, you will have experience in handling and manipulating large datasets and some experience in using Geographic Information Systems (GIS). You will also have a basic understanding of biological systems, statistics, and graphical methods. Excellent attention to detail with sound communication skills and able to work on multiple projects at the same time. You will be flexible and committed, have the ability to organise your own work to meet deadlines and have experience of working both independently and as part of a team.
A working knowledge of Structured Query Language (SQL), risk assessment, aquaculture and aquatic systems, programming in R. and advanced statistics and network analysis are all desirable.
Closing date for applications is 31/01/13
Interview date for applications is 19/02/13
You may leave the list at any time by sending the command
The British and Irish Region of the International Biometric
Society, together with the Centre for Statistical Methodology at the London
School of Hygiene and Tropical Medicine, announces a scientific meeting to mark
41 years of Sir David Cox's celebrated relative risk model for
time-to-event data. The meeting will take place on 8 March 2013 at the London
School of Hygiene and Tropical Medicine. Full details and registration can be
found at:
http://bir.biometricsociety.org/events/coxmeeting
The
meeting will include presentations of novel research in event-history analysis,
and a historical perspective on the impact of the 1972 paper. Speakers will be
Bianca De Stavola, Torben Martinussen, Paul Lambert and Robin
Henderson, together with a brief reflection and discussion from David
Cox.
Registration includes lunch, tea and coffee, and is available at
discounted prices for IBS members, at a cost of £35 for full members and £20 for
retired members and students, and £50 for
non-members. (If you need to renew your membership, this can
be done online at http://bir.biometricsociety.org/membership).
You may leave the list at any time by sending the command
Please be advised that there are still some places available for
the Multiple Imputation course Feb
25th 26th 2013
Course Aims:
Explain the problems of missing data and the need for methods such
as multiple imputation
Explain how multiple imputation works, with a focus on imputation
by chained equations (ICE)
Explain how multiply imputed data are analysed
Enable participants to analyse data by multiple imputation in
Stata 12 using the commands mi impute chained and mi estimate
Please use the link below to register
http://www.mrc-bsu.cam.ac.uk/MIcourse/reg_form.shtml
Regards
Kathy
--
Kathleen Airey
Event Organiser/Unit Secretary
MRC-Biostatistics Unit
IPH Forvie Site
Robinson Way
Cambridge
CB2 0SR
Tel: 01223 330366 - Direct Line
01223 760727 - second line
Fax: 01223 330365
Email: [log in to unmask]
You may leave the list at any time by sending the command
A statistical mindset is one of the powerful skills an organisation can have when seeking to improve performance and statisticians have a crucial role to play in bringing this about. Too often though, statisticians fail to realise the importance of their roles in quality & improvement and so in this event, we will bring to life the many roles they can play using a mixture of real life case studies and practical advice. The seminar will also demonstrate why a career in improving organisational performance can be a smart & rewarding move for a young statistician.
Speakers and titles:
Tony Bendell – “How statisticians can help improve organisations, why they should, how to broaden your own insight &world view, and how to help others to do It”
Roland Caulcutt – “Management by fact, easy to say, easy to do?”
Nigel Marriott–“Innovantage - A journey through the world of big data and how a young statistician became essential to their success”
Tony Brown – “British Industry Needs You!”
Andrew Cockayne – “What does quality mean to patients in the NHS and why statisticians are needed to interpret what patients say”
FACULTY OF HEALTH, INSTITUTE FOR PRIMARY CARE & HEALTH SCIENCES
ARTHRITIS RESEARCH UK PRIMARY CARE CENTRE
2 Posts
RESEARCH ASSOCIATE IN BIOSTATISTICS
Starting Salary: Grade 7, £30,122
OR
RESEARCH FELLOW IN BIOSTATISTICS
Starting Salary: Grade 8, £38,522
The
Arthritis Research UK Primary Care Centre, at Keele has a thriving
research programme in Pain and Osteoarthritis, underpinned by high
quality clinical trials and observational studies, with linkage to
medical records. The Centre includes a multidisciplinary grouping of
clinicians working alongside epidemiologists, statisticians and social
scientists, and our funding framework gives us a strong remit to
increase research capacity by providing training opportunities and
career support for early experience researchers.
The Centre now
wishes to appoint a Research Associate or Fellow (depending on
qualifications and experience) in Biostatistics with experience in
working in randomised controlled trials, who is interested in working
with an established group of biostatisticians in our thriving trials
programme. You will also have the opportunity to work on observational
and clinical epidemiology studies, and data from our high quality
computerised medical records from the Keele General Practice Research
Partnership.
You should have a PhD or MSc (Research Associate)
or equivalent experience and publication record (Research Fellow) in a
relevant discipline (e.g. biostatistics, epidemiology, other subject
with substantial quantitative component) with experience of design and
analysis of clinical trials. Experience of applied statistical analysis
- including analysis of trials and use of statistical modelling is
essential and you will have a high level of computer and statistical
software literacy (e.g. MS Office, SPSS, Stata).
For more details and to apply, please visit: http://tinyurl.com/a6rbkej
Please quote post reference: RE13/01
Closing date for applications: 25 February 2013
For informal discussions about the posts please contact Dr Kelvin Jordan ([log in to unmask]) or Dr Martyn Lewis ([log in to unmask])
---------------------------------------------------------------
Reader in Biostatistics
Primary Care Sciences
Keele University
Keele, Staffs ST5 5BG
UK
Tel: (+44) 1782-733924
Fax:(+44) 1782-733911
Email: [log in to unmask] PLEASE NOTE NEW EMAIL ADDRESS
http://www.keele.ac.uk/pchs/
SEC Recruitment Ltd Company registered in England and Wales No. 5808613 - Registered Office: RDL House, 1 Chertsey Road, Woking, Surrey GU21 5AD.
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 email and destroy any copies of it. If you are not the
intended recipient, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication or any action taken or omitted to be taken in reliance upon this message or its attachments is prohibited and may be unlawful. At
present the integrity of e-mail across the Internet cannot be guaranteed and messages sent via this medium are potentially at risk. All liability is excluded to the extent permitted by law for any claims arising as a result of the use of this medium to transmit
information by or to SEC Recruitment Limited.
You may leave the list at any time by sending the command
http://go.herts.ac.uk/sscu
*** COURSES IN 2013 *** COURSES IN 2013 *** COURSES IN 2013 ***
For further details of these courses, fees and a link to our online application process, please see below and at http://go.herts.ac.uk/sscu (click on "Short Courses in Statistics" 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.
This course is aimed at all who need to learn about the very basics of analysing, presenting statistical data and questionnaire design. No prior knowledge of statistics is assumed. Anyone who needs to deal with data in their work should be able to participate fully.
ESSENTIAL DATA ANALYSIS
This course is aimed at all who have groups in their data that need to be compared and contrasted or 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 topics in hypothesis testing, simple and multiple regression.
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.
PRACTICAL BUSINESS FORECASTING: A FIRST COURSE
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
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit
Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285455
E-mail: [log in to unmask]; WWW: http://go.herts.ac.uk/sscu
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285455
E-mail: [log in to unmask]; WWW: http://go.herts.ac.uk/NeilSpencer
=======================================================================
This role would suit an experienced senior/project statistician keen to work within a smaller organisation where your skills and experience are of great influence. Fantastic salary as organisation's ethos is to reward those highly for their input. Working side by side with Directors, you will gain great insight into the inner working of a business as well as further technical understanding within statistics. The company is growing so fantastic time to join as this role will further progress your career.
Role & Responsibilities
• Oversee and participate in the statistical support provided across all work requiring statistical input; with a particular focus on observational studies
• Participates in all aspects of client-related work; proposal preparation, protocol and statistical analysis plan development, conducting the required statistical analysis, providing and interpreting to the client the results of the analysis.
• Proactively participates in the department of statistics development activities – reviewing/ developing new SOPs; developing the needed document templates; proposing approaches to enhance our interactions with clients
Strong expertise in a wide range of statistical methodologies, and ability to identify and pursue adaptation or development of new methodology
• Significant experience in addressing all statistical aspects of observational studies
• Experience working at CROs and having direct involvement on client-related projects
• Strong leadership, organizational and time-management skills
• Good understanding of areas supported by statistics
• Excellent communication skills
Education and Experience
MSc or Ph.D. in Statistics (or equiv) with significant industry experience, ideally within a CRO
Excellent written and spoken English
Must be eligible to work in the EEA
Follow us for all the latest job updates, follow us on Linkedin
In online courses designed and taught by them, available 24/7 over 9 months.
For $245-$295 total (early registration) to take all 14 courses.
http://pls-institute.org/SEM-n-R.html
http://iase-web.org/islp/Competitions.php?p=Poster_Competition_2010-2011 .
As a Principal Statistician, you will develop and lead the statistical direction and strategy for the Leicester Clinical Trials Unit (LCTU). The post holder will work in close collaboration with principal investigators of hosted trials to develop approaches to the design, conduct, analysis and interpretation of high quality clinical trials. Working closely with the CTU Director, Operations Director and the CTU management team you will be responsible for increasing LCTU capacity and activity. You will also work closely with the NIHR Research Design Service (RDS) for the East Midlands Leicester region, provide leadership and supervision to less experienced statisticians and undertake self-directed research of benefit to the CTU, the College and own professional development.
to [log in to unmask], leaving the subject line blank.
Your role will be to assist the Leicester Clinical Trials Unit (LCTU) by carrying out statistical analysis, including exploring novel methods, and under the supervision of the Senior Lecturer in Medical and Clinical Trials Statistics and CTU Director, will be expected to work closely with the East Midlands Research Design Service, CTU Operations Director, and undertake an element of independent research.
From: Chaitanya Joshi
<[log in to unmask]>
To: "[log in to unmask]" <[log in to unmask]>
Sent: Thursday, 6 December 2012, 11:46
Subject: JOB: Lecturer in Statistics, University of Waikato, Hamilton, NZ
Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901
www.learnandteachstatistics.wordpress.com
and our fabulous new app AtMyPace: Statistics:
http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8Vern Farewell
MRC Biostatistics Unit
Abstract: The Medical Research Council's (MRC) Biostatistics Unit is approaching its centenary, having been established in 1914. In the UK, the development of medical statistics as a discipline has been closely linked to the Unit's development. In this talk, I will consider the scientific and political contexts which contributed to the
establishment of the Unit. In addition, the lives and work of the first two Directors of the Unit, John Brownlee and Major Greenwood, will be discussed. Their scientific contributions and leadership roles will be highlighted. The roles of two other members of the Unit during these early years will also be examined, one individual well known, Austin Bradford Hill, and one less well known, Hilda Mary Woods.
Speaker: Prior to moving to the MRC Biostatistics Unit in 2001, Vern Farewell held professorial positions at the University of Washington, the University of Waterloo and University College London. He has published widely in the statistical and medical literature and is co-author of the four editions of the book "Using and Understanding Medical Statistics". Since 2007, he has been Editor of "Statistics in Medicine". His current research has a primary focus on the analysis of observational longitudinal data.
25th November – James Wason (MRC Biostatistics).
Research Associate - Applied Statistics
Research Associate - Applied Statistics
Transform specifications in the project trial and statistical analysis plans for the clinical trial report. Maintain libraries of validated programs, macros, and procedures for reuse to improve the efficiency of the programming department. Develop programming strategy defining key decisions and timelines, implementing project programs where possible. You should have an ability to lead international working groups representing the programming function.
You should be an effective verbal and written communicator, with an ability to liaise with a variety of stakeholders. You will have an ability to interpret data, and use this to influence project teams. The nature of the industry also requires that your approach is precise and detail oriented.
1. You will develop, progress and conduct assigned research objectives individually or jointly as directed by PI/client/senior statistician.
2. Be responsible for the programming of complex statistical analyses using specialist knowledge and techniques and facilitate further development.
3. Responsible for the preparation and delivery of statistical analysis reports in accordance with clients' expectations.
4. Ensure the appropriate level of checking and validation of complex statistical programming.
5. Responsible for the management of resources to ensure timely delivery of outputs across multiple projects.
6. Take the lead in the presentation of results to academic and/or commercial clients and at national and international conferences if required to enhance the profile of the Robertson Centre. Communicate material of a specialist and highly technical nature
clearly.
7. Play a leading role in the publication of statistical results in peer reviewed journals as a co-author.
Development
9. Gain experience in more advanced statistical programming.
10. Gain experience in statistical consulting.
11. Keep up to date with recent advances in the field/discipline.
14. Production of internal statistical documentation.
15. Participation in internal and external audits.
16. Maintain records and databases and undertake general admin duties to support the projects.
17. Collaborate with colleagues and participate in team meetings/discussions and departmental research group activities
18. To contribute to the enhancement of the University’s international profile in line with the University’s strategic plan, Glasgow2020 – a Global vision.
A1. A PhD in Statistics/Statistics and Mathematics, or Biostatistics or equivalent postgraduate work experience or an MSc level in Statistics or Biostatistics and significant relevant experience with evidence of good
quality published research outputs.
A2. Wide knowledge of medical statistics.
A3. Good knowledge of statistical programming package(s).
A4. Knowledge of clinical trials and epidemiological methods.
A5. Basic knowledge of the requirements of ICH Good Clinical Practice and corresponding requirements for Good Statistical practice and other legal and regulatory requirements in the management and analysis of clinical data
Skills
C1. Good understanding of complex statistical methods and concepts.
C2. Complex statistical programming.
C3. Excellent verbal and written communication skills.
C4. Ability to cope under pressure while maintaining a high level of accuracy.
C5. Ability to work under supervision.
C6. Ability to assess priorities and manage own workload effectively, and to report progress to senior members of staff.
C7. Excellent interpersonal skills and ability to work as part of a team with staff at all levels.
C8. Reliable, trustworthy and able to maintain confidentiality.
Experience
E1 Typically 5 years relevant experience, .
E1. Experience of applying complex statistical methods in a working environment.
E2. Experience of using a statistical programming package in a working environment.
E3 Demonstrable record of research expertise evidenced by existing publication record indicating potential for Research Evaluation Framework returnability.
Desirable:
Experience of working under the requirements of ICH Good Clinical Practice and corresponding requirements for Good Statistical practice and other legal and regulatory requirements in the management and analysis of clinical data
Statistics: Working to deadlines simultaneously on a number of projects involving clinical trials and/or epidemiological studies, carrying out statistical analyses and checking the work of other statisticians. Working independently on small projects and under
supervision on larger, more complex projects. Meeting with and presenting results to clients. Contribution to collaborative research publications.
Development: To gain experience and undergo training to develop skills in statistical programming and methodology, statistical consulting and oral and written presentation of results applicable in a wide variety of epidemiological and clinical trial contexts.
Teaching: Contribution to the delivery of the occasional statistical courses run by the Centre for biomedical researchers.
Administration: Adherence to and contribution to the review of internal standard operating procedures, incorporating external ethical, legal and regulatory constraints, and to compliance with auditing requirements of these processes.
Planning and Organising
Decision Making
Internal/External Relationships
Problem Solving
Other
The Robertson Centre for Biostatistics is part of the Institute of Health and Wellbeing, within the College of Medical, Veterinary and Life Sciences (MVLS). It is recognised internationally as a centre of excellence for the design, conduct and analysis of major
international multi-centre clinical trials, epidemiological studies and other research projects. The Centre has experience of collaboration in all areas of medicine and has excellent relations with medical and biological researchers in the pharmaceutical industry,
the National Health Service and other research organisations. The primary objective of the Centre's collaborative work is to contribute to research projects that will improve the treatment of patients and the practice of medicine.
The Centre is part of the Glasgow Clinical Trials Unit, a UKCRC fully registered academic trials unit, in conjunction with the Research and Development (R&D) Department of Greater Glasgow & Clyde (GG&C) Health Board and the Glasgow Clinical Research Facility
(CRF).
Further information is available at:
http://www.gla.ac.uk (University of Glasgow)
http://www.gla.ac.uk/researchinstitutes/healthwellbeing/research/robertsoncentreforbiostatistics/ (Robertson Centre for Biostatistics)
www.glasgowctu.org (Glasgow Clinical Trials Unit)
www.ukcrc-ctu.org.uk (UK CRC Registered Clinical Trials Unit Network)
New entrants to the University will be required to serve a probationary period of 6 months.
The successful applicant will be eligible to join the Universities' Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation
benefits.
All research and related activities, including grants, donations, clinical trials, contract research, consultancy and commercialisation are required to be managed through the University’s relevant processes (e.g. contractual and financial), in accordance with
the University Court’s policies.
College of Medical, Veterinary and Life Sciences
Robertson Centre for Biostatistics
Boyd Orr Building, Level 11
G12 8QQ
The University of Glasgow, charity number SC004401
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Vern Farewell
MRC Biostatistics Unit
Abstract: The Medical Research Council's (MRC) Biostatistics Unit is approaching its centenary, having been established in 1914. In the UK, the development of medical statistics as a discipline has been closely linked to the Unit's development. In this talk, I will consider the scientific and political contexts which contributed to the
establishment of the Unit. In addition, the lives and work of the first two Directors of the Unit, John Brownlee and Major Greenwood, will be discussed. Their scientific contributions and leadership roles will be highlighted. The roles of two other members of the Unit during these early years will also be examined, one individual well known, Austin Bradford Hill, and one less well known, Hilda Mary Woods.
Speaker: Prior to moving to the MRC Biostatistics Unit in 2001, Vern Farewell held professorial positions at the University of Washington, the University of Waterloo and University College London. He has published widely in the statistical and medical literature and is co-author of the four editions of the book "Using and Understanding Medical Statistics". Since 2007, he has been Editor of "Statistics in Medicine". His current research has a primary focus on the analysis of observational longitudinal data.
25th November – James Wason (MRC Biostatistics).
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Dear all greetings,
I am working with spss and while coding data i entered 9=no answer for an open ended question that was about collar size (inches) but when i ran descriptives i got mean=6 inches which is not possible. what should i do, because a large number of respondents gave no answer to the question.
Regards,
Khizar Researcher
You will have experience working with: InForm Architect v4.6, InForm Central Designer v1.4, SAS v8.2, SQL
It would be beneficial if you have had experience working in: COGNOS Report Studio 8.2, Spotfire v3.2 with an understanding of SDTM data structures
You should have an ability to communicate technical concepts customers that have a background in a clinical setting
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Dear Colleagues Greetings,
I was about to analyze a survey data the sample size is 260 respondents(using SPSS) since the questionnaire was long a lot of incomplete data so should i opt for imputation and what about the bias, another option is that i dont define the missing values in that case when i run my model i get all respondents included in the model, whats the right approach?
kind Regards to all.
Khizar Researcher.
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T.
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ghasem
Course-specific queries: +44 (0) 77 30405 980
www.ucl.ac.uk/stats-courses
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Martin
Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
Ali Karimnezhad
College of Science
University of TehranSELECTION
CRITERIA
Professor M.A. Girolami FRSE FIET
Chair of Statistics
EPSRC Advanced Research Fellow
Department of Statistical Science
University College London
1-19 Torrington Place
London, WC1E 7HB
Tel : +44 (0)20 7679 1861
Fax: +44 (0)20 3108 3105
email: [log in to unmask]
web: http://www.ucl.ac.uk/statistics/people/markgirolami
web: http://www.csml.ucl.ac.uk/
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