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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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IGhyZWY9Im1haWx0bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwu YWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_865C735EC628874680AFDB5D6931883A011DD5C5HRMWSXS1478emea_-- ========================================================================Date: Tue, 4 Dec 2012 12:11:31 +0000 Reply-To: Mylene Paumier <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Mylene Paumier <[log in to unmask]> Subject: New Opportunity - Biostatistician - Europe Content-Type: multipart/alternative; boundary="_000_3881B5C744676049AFE62073CC1567FE0A050846CKASBS2011CKAlo_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_3881B5C744676049AFE62073CC1567FE0A050846CKASBS2011CKAlo_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear AllStat, CK Clinical is recruiting for a Biostatistician to join a global pharmaceutical company at their site based in Switzerland on a contract basis. As Biostatistician, you will have the following responsibilities: - Responsible for all statistical tasks for assigned clinical trials in the Oncology therapeutic area. This includes: protocol writing, analysis planning and reporting, exploratory analyses, publication support, and statistical consultation. - Coordinate study tasks with other statisticians and statistical programmers. - Ensure timeliness and adequate quality of all statistical deliverables. - Follow processes and project standards as well as Health Authority requirements As Biostatistician, you will have the following qualifications, skills and experience: - Minimum MSc in statistics - Experience in pharmaceutical development and clinical research - Strong statistical skills and knowledge of clinical trials methodology: experience with protocol development, analysis planning and reporting of clinical trials - Knowledge of SAS - Fluent in English, good oral and written communication skills - Experience in Oncology - Good team player - High degree of autonomy in performing assigned duties - Able to establish personal relationships with personnel from other line functions - Experience with intercultural teams For more information or to apply for this Biostatistician position, please contact Mylene Paumier on +44 (0)207 470 5672 or email: [log in to unmask][log in to unmask]>. Best regards, Mylene Mylene Paumier Consultant CK Clinical Limited Crown House 72, Hammersmith Road London W14 8TH DD: +44 (0)207 470 5672 Tel: +44 (0)207 470 5670 [log in to unmask] www.ckagroup.co.uk 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A050846CKASBS2011CKAlo_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear AllStat,

CK Clinical is recruiting for a Biostatistician to join a global pharmaceutical company at their site based in Switzerland on a contract basis.

As Biostatistician, you will have the following responsibilities:

 

- Responsible for all statistical tasks for assigned clinical trials in the Oncology therapeutic area. This includes: protocol writing, analysis planning and reporting, exploratory analyses, publication support, and statistical consultation.

- Coordinate study tasks with other statisticians and statistical programmers.

- Ensure timeliness and adequate quality of all statistical deliverables.

- Follow processes and project standards as well as Health Authority requirements

 

 

As Biostatistician, you will have the following qualifications, skills and experience:

 

- Minimum MSc in statistics

- Experience in pharmaceutical development and clinical research

- Strong statistical skills and knowledge of clinical trials methodology: experience with protocol development, analysis planning and reporting of clinical trials

- Knowledge of SAS

- Fluent in English, good oral and written communication skills

- Experience in Oncology

- Good team player

- High degree of autonomy in performing assigned duties

- Able to establish personal relationships with personnel from other line functions

- Experience with intercultural teams

 

 

For more information or to apply for this Biostatistician 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

Consultant

 

CK Clinical Limited

Crown House

72, Hammersmith Road

London

W14 8TH

 

DD: +44 (0)207 470 5672

Tel: +44 (0)207 470 5670

[log in to unmask]

 

www.ckagroup.co.uk

 

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).

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A050846CKASBS2011CKAlo_-- ========================================================================Date: Tue, 4 Dec 2012 12:30:59 +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: 6 Month SAS programming contract. 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Lg0K --_000_32F624F2618E7B42B3EDAD43C3B3178911C613HRMWSXS1478emeaha_-- ========================================================================Date: Tue, 4 Dec 2012 14:05:40 +0000 Reply-To: Gillian Meadows <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Gillian Meadows <[log in to unmask]> Subject: Finding survey data for your research: An introductory webinar Content-Type: multipart/alternative; boundary="_000_18DCF0E5CD340643BA2A147EA751225501013249FDMBXP02dsmanac_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_18DCF0E5CD340643BA2A147EA751225501013249FDMBXP02dsmanac_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Finding survey data for your research: An introductory webinar Monday 10 December 2012, 11am - 11.50am GMT NB. This is a repeat of the webinar given on 27 November This fifty minute webinar will show how to find, explore and access survey data relevant to your research that are available through the Economic and Social Data Service website: www.esds.ac.uk. The website provides access and support for an extensive range of key economic and social data, including data from large scale social surveys like the British Social Attitudes Survey or the longitudinal survey Understanding Society. Starting within an overview of the types of survey data available, the webinar will cover searching the data catalogue, navigating data documentation, exploring data online and accessing data files, including special licence and secure data. This webinar is ideal for new postgraduate research students looking for survey data to answer their research question but is useful for anyone new to social research who wants to know more about survey data. You can register, and find Information and tips about attending webinars and using GoToWebinar, at http://www.ccsr.ac.uk/esds/events/2012-12-10-2/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_18DCF0E5CD340643BA2A147EA751225501013249FDMBXP02dsmanac_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Finding survey data for your research: An introductory webinar

Monday 10 December 2012, 11am - 11.50am GMT

NB. This is a repeat of the webinar given on 27 November

This fifty minute webinar will show how to find, explore and access survey data relevant to your research that are available through the Economic and Social Data Service website: www.esds.ac.uk.

The website provides access and support for an extensive range of key economic and social data, including data from large scale social surveys like the British Social Attitudes Survey or the longitudinal survey Understanding Society.

Starting within an overview of the types of survey data available, the webinar will cover searching the data catalogue, navigating data documentation, exploring data online and accessing data files, including special licence and secure data.

This webinar is ideal for new postgraduate research students looking for survey data to answer their research question but is useful for anyone new to social research who wants to know more about survey data.

You can register, and find Information and tips about attending webinars and using GoToWebinar, at http://www.ccsr.ac.uk/esds/events/2012-12-10-2/

You may leave the list at any time by sending the command

SIGNOFF allstat

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Month contract - Excellent hourly rate. Comments: To: "Crawford, Leah" <[log in to unmask]> In-Reply-To: <[log in to unmask]> Content-Type: multipart/alternative; boundary="_000_CCE4F8679597D74DB810F1F4373445A39A5022D2HRMWSXS1477emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_CCE4F8679597D74DB810F1F4373445A39A5022D2HRMWSXS1477emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 anVzdCBnb3QgaXQKCkdlbW1hIFN0YXBsZXRvbi0KUGhhcm1hY292aWdpbGFuY2UgU3BlY2lhbGlz dCBDb25zdWx0YW50ClJlY3J1aXRpbmcgZXhwZXJ0cyBpbiBMaWZlIFNjaWVuY2VzCgpIQVlTIFJl Y3J1aXRpbmcgZXhwZXJ0cyB3b3JsZHdpZGUKCjEwNyBDaGVhcHNpZGUKTG9uZG9uCkVDMlYgNkRO CgpUOiArNDQgMDIwMyA0NjUgMDA3OQpnZW1tYS5zdGFwbGV0b25AaGF5cy5jb208bWFpbHRvOmdl bW1hLnN0YXBsZXRvbkBoYXlzLmNvbT4KCmhheXMuY28udWsKCi0tLS0tLS0tLS0tLS0tLS0tLS0t LS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLQoKUGxlYXNlIGpvaW4gbXkgbmV0d29yayBvbiBM aW5rZWRJbiBodHRwOi8vdWsubGlua2VkaW4uY29tL3B1Yi9nZW1tYS1zdGFwbGV0b24vMTYvMTNi 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MTUwOTUwLiZuYnNwOyBIYXlzIHBsY+KAmXMgcmVnaXN0ZXJlZCBvZmZpY2UgaXMgYXQgMjUwIEV1 c3RvbiBSb2FkLCBMb25kb24gTlcxIDJBRi48YnI+KioqKioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqPC9QPjwvYm9keT4KPC9o dG1sPgoNCllvdSBtYXkgbGVhdmUgdGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUg Y29tbWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0 bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBs ZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_CCE4F8679597D74DB810F1F4373445A39A5022D2HRMWSXS1477emea_-- ========================================================================Date: Tue, 4 Dec 2012 16:11:36 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Contract SAS Programmer | CDISC Standards | London, UK | =?iso-8859-1?Q?£40-£50_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F06923A083Dmsx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F06923A083Dmsx1s2berdlpl_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665 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 an hourly rate of £45 and upwards. Contract SAS Programmer | CDISC Standards | London, UK | £40-£50 per hour Experienced SAS Programmer You will require: 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 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 SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A083Dmsx1s2berdlpl_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665

 

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 an hourly rate of £45 and upwards.

 

 

Contract SAS Programmer | CDISC Standards | London, UK | £40-£50 per hour

 

 

 

Experienced SAS Programmer

 

 

You will require:

 

 

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 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

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A083Dmsx1s2berdlpl_-- ========================================================================Date: Tue, 4 Dec 2012 11:14:56 -0600 Reply-To: jay warner <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: jay warner <[log in to unmask]> Subject: Re: slider data Comments: cc: Eugenie Hunsicker <[log in to unmask]> In-Reply-To: <[log in to unmask]> Mime-Version: 1.0 (Apple Message framework v1283) Content-Type: multipart/alternative; boundary="Apple-Mail=_37C5BC73-48D7-443A-A3D7-113B00778477" Message-ID: <[log in to unmask]> --Apple-Mail=_37C5BC73-48D7-443A-A3D7-113B00778477 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Suppose we have a survey with a strictly ordinal, Likert scale. Now the respondent colors outside the liens, by marking half way between two points. How does the analyst handle this information? IN one case, I was told the analyst threw out the respondent's contribution. (Is that equivalent of dismissing data that "doesn't fit"?:) Seriously, when we calculate an average response to a Likert scale question, is this not simply treating the data as an incremental ('quantitative' in the post below) scale? The strictly ordinal scale is treated as if it was incremental, and continuous, but with incomplete 'ruler' marks. What is the difference between doing this and reporting an average of length measurements in centimeters, when the distance was measured in meters? (I'm thinking of the distance of a thrown javelin). Obviously, if the increments in the ordinal data are not equal, we can't calculate an average. So the issue occurs only when an average is involved. And if we limit the extremes of the 'slider' scale, then it can't be Normal in principle. I suppose a respondent might be inclined to report 110% agreement with something occasionally, nonetheless. This question, of how define & treat nominal, ordinal, and interval (and ratio) data gets into a lot of studies, so my concern is serious. Jay On Dec 3, 2012, at 3:30:57 AM, Eugenie Hunsicker wrote: > Hi All, > > Do any of you know if there is any research published about analysis of slider-type questions > in attitude surveys? Slider questions are alternatives to Likert scale questions, in which > respondents are asked to place a mark or slider along a line segment to indicate their attitude > about a particular subject. The resulting data is quantitative instead of ordinal, but I am curious > if there is any research into if it is reasonable to model it as a normal variable, or if, like Likert > scale data, it tends not to be normal. Alternatively, any publications about the best way to > analyse such data would be very useful. > > Thanks! > Eugenie > > You may leave the list at any time by sending the command > > SIGNOFF allstat > > to [log in to unmask], leaving the subject line blank. Jay Warner Principal Scientist Warner Consulting, Inc. 4444 North Green Bay Road Racine, WI 53404-1216 USA Ph: 262.634.9100 email: [log in to unmask] web: www.a2q.com The A2Q Method (tm) -- What do you want to improve today? You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --Apple-Mail=_37C5BC73-48D7-443A-A3D7-113B00778477 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii Suppose we have a survey with a strictly ordinal, Likert scale.  Now the respondent colors outside the liens, by marking half way between two points.


How does the analyst handle this information?  IN one case, I was told the analyst threw out the respondent's contribution.  (Is that equivalent of dismissing data that "doesn't fit"?:)

Seriously, when we calculate an average response to a Likert scale question, is this not simply treating the data as an incremental ('quantitative' in the post below) scale?  The strictly ordinal scale is treated as if it was incremental, and continuous, but with incomplete 'ruler' marks.  What is the difference between doing this and reporting an average of length measurements in centimeters, when the distance was measured in meters?  (I'm thinking of the distance of a thrown javelin).

Obviously, if the increments in the ordinal data are not equal, we can't calculate an average.  So the issue occurs only when an average is involved.  And if we limit the extremes of the 'slider' scale, then it can't be Normal in principle.  I suppose a respondent might be inclined to report 110% agreement with something occasionally, nonetheless.

This question, of how define & treat nominal, ordinal, and interval (and ratio) data gets into a lot of studies, so my concern is serious.

Jay
On Dec 3, 2012, at 3:30:57 AM, Eugenie Hunsicker wrote:

Hi All,

Do any of you know if there is any research published about analysis of slider-type questions
in attitude surveys?  Slider questions are alternatives to Likert scale questions, in which
respondents are asked to place a mark or slider along a line segment to indicate their attitude
about a particular subject.  The resulting data is quantitative instead of ordinal, but I am curious
if there is any research into if it is reasonable to model it as a normal variable, or if, like Likert
scale data, it tends not to be normal.  Alternatively, any publications about the best way to
analyse such data would be very useful.

Thanks!
Eugenie

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

Jay Warner
Principal Scientist
Warner Consulting, Inc.
4444 North Green Bay Road
Racine, WI 53404-1216
USA

Ph:       262.634.9100
email:  [log in to unmask]
web:    www.a2q.com

The A2Q Method (tm) -- What do you want to improve today?

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --Apple-Mail=_37C5BC73-48D7-443A-A3D7-113B00778477-- ========================================================================Date: Tue, 4 Dec 2012 17:28:09 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: CK Clinical - JOB- Clinical Data Programmer UK Pharma Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A85BA2CKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A85BA2CKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear ALLSTAT, CK Clinical is currently recruiting for x3 Clinical Data Programmer Analysts to work for a leading Blue-chip pharmaceutical organisation in London. You will be responsible for creating and maintaining a wide range of diverse EDC/eDM tools, primarily for Phase III clinical trials. You will also provide technical expertise and consultancy on a variety of different EDC/eDM components and study lifecycle scenarios. As a creative thinker and with strong customer focus, you will deliver high quality technical solutions to the clinical study team. Interested applicants will have a degree in a Scientific discipline (OR Equivalent) together with proven experience of working in the Pharmaceutical industry. You must also have hands on programming experience using the following, with a strong ability to troubleshoot complex technical issues in these platforms for 'live data' scenarios and propose remedial solutions. * InForm Architect v4.6 * InForm Central Designer v1.4 * SAS v8.2 * SQL The following would be beneficial: * COGNOS Report Studio 8.2 * Spotfire v3.2 * Understanding of SDTM data structures You will also possess strong communication skills with a proven record of explaining technical issues to a non-technical, clinical customer base, and you will be a self starter with initiative and a proven track record of working effectively in teams. Strong time management and ability to independently prioritise own workload and negotiate with customers is also required. For more information or to apply for the role contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively please click on the link below. CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria. If you do not hear back from us within 5 working days of your application for this role, it means that on this occasion you have not been shortlisted for the next stage of the recruitment campaign. Entitlement to work in the EEA is essential. Please quote reference CL25796 in all correspondence. Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A85BA2CKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear ALLSTAT,

 

CK Clinical is currently recruiting for x3 Clinical Data Programmer Analysts to work for a leading Blue-chip pharmaceutical organisation in London.

 

You will be responsible for creating and maintaining a wide range of diverse EDC/eDM tools, primarily for Phase III clinical trials. You will also provide technical expertise and consultancy on a variety of different EDC/eDM components and study lifecycle scenarios.

As a creative thinker and with strong customer focus, you will deliver high quality technical solutions to the clinical study team.

 

Interested applicants will have a degree in a Scientific discipline (OR Equivalent) together with proven experience of working in the Pharmaceutical industry. You must also have hands on programming experience using the following, with a strong ability to troubleshoot complex technical issues in these platforms for ‘live data' scenarios and propose remedial solutions.

• InForm Architect v4.6

• InForm Central Designer v1.4

• SAS v8.2

• SQL

 

The following would be beneficial:

• COGNOS Report Studio 8.2

• Spotfire v3.2

• Understanding of SDTM data structures

You will also possess strong communication skills with a proven record of explaining technical issues to a non-technical, clinical customer base, and you will be a self starter with initiative and a proven track record of working effectively in teams. Strong time management and ability to independently prioritise own workload and negotiate with customers is also required.

 

For more information or to apply for the role contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively please click on the link below.

 

CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria.

 

If you do not hear back from us within 5 working days of your application for this role, it means that on this occasion you have not been shortlisted for the next stage of the recruitment campaign. Entitlement to work in the EEA is essential. Please quote reference CL25796 in all correspondence.

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

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).

 

 

You may leave the list at any time by sending the command

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to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A85BA2CKASBS2011CKAloca_-- ========================================================================Date: Tue, 4 Dec 2012 17:33:59 +0000 Reply-To: Emma Hollands <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> 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]> MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> V2UgYXJlIGFubm91bmNpbmcgdGhlIGZvbGxvd2luZyBzaG9ydCBjb3Vyc2VzLCB3aGljaCBhcmUg c2NoZWR1bGVkIHRvIHRha2UgcGxhY2UgYXQgdGhlIFN0YXRpc3RpY2FsIFNlcnZpY2VzIENlbnRy ZSBpbiAyMDEzLiBTdW1tYXJ5IGluZm9ybWF0aW9uIGlzIGdpdmVuIGJlbG93LiBGb3IgbW9yZSBk ZXRhaWxlZCBpbmZvcm1hdGlvbiBhbmQgcmVnaXN0cmF0aW9uIGZvcm1zIHBsZWFzZSBzZWUgaHR0 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dmljZXMgdG8gYW5kIGZyb20gYm90aCBMb25kb24gSGVhdGhyb3cgYW5kIExvbmRvbiBHYXR3aWNr IEFpcnBvcnRzLiAgRm9yIGZ1cnRoZXIgZGV0YWlscyB2aWV3OiBodHRwOi8vd3d3LnJlYWRpbmcu YWMudWsvc3NjL24vdmlzaXRpbmcuaHRtLg0KDQoNCktpbmQgUmVnYXJkcw0KDQpFbW1hIEhvbGxh bmRzDQpUcmFpbmluZyBDby1vcmRpbmF0b3INClN0YXRpc3RpY2FsIFNlcnZpY2VzIENlbnRyZSwg VW5pdmVyc2l0eSBvZiBSZWFkaW5nLCBIYXJyeSBQaXR0IEJ1aWxkaW5nLCBXaGl0ZWtuaWdodHMg Um9hZCwgUmVhZGluZywgUkc2IDZGTiwgVUsNCsKgDQpUZWw6ICs0NCgwKTExOCAzNzggODY4OQ0K d3d3LnJlYWRpbmcuYWMudWsvc3NjDQrvgZDCoMKgIFBsZWFzZSBkb24ndCBwcmludCB0aGlzIGUt bWFpbCB1bmxlc3MgeW91IHJlYWxseSBuZWVkIHRvDQoNCg0KSWYgeW91IHdvdWxkIGxpa2UgdG8g cmVjZWl2ZSBvdXIgYW5udWFsIHNob3J0IGNvdXJzZSBicm9jaHVyZSwgcGxlYXNlIGNsaWNrIGhl cmU6DQpodHRwOi8vd3d3LnNzYy5yZGcuYWMudWsvY291cnNlcy9yZXF1ZXN0Lmh0bWwNCg0KDQoN Cg0KDQpZb3UgbWF5IGxlYXZlIHRoZSBsaXN0IGF0IGFueSB0aW1lIGJ5IHNlbmRpbmcgdGhlIGNv bW1hbmQNCg0KU0lHTk9GRiBhbGxzdGF0DQoNCnRvIGxpc3RzZXJ2QGppc2NtYWlsLmFjLnVrLCBs ZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo========================================================================Date: Wed, 5 Dec 2012 03:32:29 +0000 Reply-To: Vincent Granville <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Vincent Granville <[log in to unmask]> Subject: Real success stories from data science, big data Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Success stories is item #1 in the list below. 1. Real World Success from Big Data https://bit.ly/VuZOsO 2. Do You Really Need a Data Scientist? https://bit.ly/UegvE4 3. Unstructured content processing with MarkLogic and Tableau https://bit.ly/QsOo6a 4. Develop analytical skills to unleash the power of Big Data https://bit.ly/VgENC8 5. Real-time Analytics for Small Data, Big Data, and Huge Data! https://bit.ly/TrY29D 6. Data Science Toolkit (we need your help!) https://bit.ly/UZ4ocS 7. Data Science Dictionary (we need your help!) https://bit.ly/TQYzzc Best regards, Vincent Granville, Ph.D. Data Science Central, Co-Founder 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: Wed, 5 Dec 2012 08:58:24 +0000 Reply-To: "Hampson, Lisa" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Hampson, Lisa" <[log in to unmask]> Subject: REMINDER: Meeting and AGM of RSS Lancashire and East Cumbria group, 6th December 2012 Content-Type: multipart/alternative; boundary="_000_8ABDD5109431C54299ECF7A0D1A9C708046809EX1MB2lancslocal_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_8ABDD5109431C54299ECF7A0D1A9C708046809EX1MB2lancslocal_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear Allstat list members, The next meeting of the RSS Lancashire local group will take place 4 - 5pm on Thursday 6th December at Lancaster University (Room A54, Postgraduate Statistics Centre). The meeting will begin with a brief Annual General Meeting of the local group. For our seminar, we are pleased to welcome Nicos Pavlidis from the Management School, Lancaster 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: Nicos Pavlidis (Management School, Lancaster University) Title: Classification in Data-Rich Dynamic Environments Abstract: Progress in computer technology is radically changing every aspect of our economic and social system. Until recently the focus has been on the increasing speed of computer processors, captured by Moore's Law. Nowadays, the focus has shifted to data generation and storage technology. It is becoming increasingly recognised that we are surrounded by data. Advances in sensing and storage technologies are fuelling a virtual explosion in the quantity, quality, and variety of data that is becoming available, giving rise to what is known as Big Data. This development is of fundamental importance as it enables us to answer questions which would have defied an answer only a few decades ago. However, the closer computer technology enables us to record real life data generating processes the more the complexity of these mechanisms is reflected in the data; revealing problems that previously could be conveniently disregarded. Some of the key challenges when dealing with Big Data are high volume, high dimensionality, high frequency, and time-variations in the data generating process. This talk will discuss classification problems when the data originate from a time-varying process and observations are obtained sequentially and at a high frequency. Applications include credit scoring, fraud detection, medical imaging, and high frequency foreign exchange data. For further details of upcoming events in 2013, please see our website http://www.rss-lancashire.org.uk/home Dr Lisa Hampson. MRC Fellow in Biostatistics. Department of Mathematics and Statistics Lancaster University Fylde College Lancaster LA1 4YF. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_8ABDD5109431C54299ECF7A0D1A9C708046809EX1MB2lancslocal_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear Allstat list members,

 

The next meeting of the RSS Lancashire local group will take place 4 - 5pm on Thursday 6th December at Lancaster University (Room A54, Postgraduate Statistics Centre). The meeting will begin with a brief Annual General Meeting of the local group.

 

For our seminar,  we are pleased to welcome Nicos Pavlidis from the Management School, Lancaster 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:            Nicos Pavlidis (Management School, Lancaster University)

 

Title:                   Classification in Data-Rich Dynamic Environments

 

Abstract:           Progress in computer technology is radically changing every aspect of our economic and social system. Until recently the focus has been on the increasing speed of computer processors, captured by  Moore's Law. Nowadays, the focus has shifted to data generation and storage technology. It is becoming increasingly recognised that we are surrounded by data. Advances in sensing and storage technologies are fuelling a virtual explosion in the quantity, quality, and variety of data that is becoming available, giving rise to what is known as Big Data. This development is of fundamental importance as it enables us to answer questions which would have defied an answer only a few decades ago. However, the closer computer technology enables us to record real life data generating processes the more the complexity of these mechanisms is reflected in the data; revealing problems that previously could be conveniently disregarded. Some of the key challenges when dealing with Big Data are high volume, high dimensionality, high frequency, and time-variations in the data generating process. This talk will discuss classification problems when the data originate from a time-varying process and observations are obtained sequentially and at a high frequency. Applications include credit scoring, fraud detection, medical imaging, and high frequency foreign exchange data.

 

 

For further details of upcoming events in 2013, please see our website http://www.rss-lancashire.org.uk/home

 

 

Dr Lisa Hampson.

MRC Fellow in Biostatistics.

Department of Mathematics and Statistics

Lancaster University

Fylde College

Lancaster

LA1 4YF.

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_8ABDD5109431C54299ECF7A0D1A9C708046809EX1MB2lancslocal_-- ========================================================================Date: Wed, 5 Dec 2012 09:40:37 +0000 Reply-To: Karan Nagra <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Karan Nagra <[log in to unmask]> Subject: JOB: ****ASTRAZENECA CONTRACT STATISTICAN VACANCY**** Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Dear Allstat AstraZeneca are currently looking for a contract Statistician who is available to start as soon as possible for 11 months. The role is based at the Alderley Park, Cheshire site however flexible home working will be considered. Please get in touch for further information if this vacancy is of interest to you. Description: Senior Statisticians provide statistical expertise to the design and interpretation of clinical studies and programmes of studies under the guidance of more senior staff (eg, Global Product Statistician (GPS)). They provide direction and statistical oversight to outsourcing partners/providers regarding requirements and standards for study-level work. They engage in analyses to exploit information to improve design and decision-making. They support the GPS in benefit, risk, value and uncertainty assessment. They take on responsibility for components of regulatory submissions including specification and construction of overview documents and responses to regulatory questions, health technology assessment, and commercial exploitation of AZ products. Accountabilities/Responsibilities: • Analysis of internal and external information to inform design decisions (e.g. evaluation of biomarkers as potential diagnostics for a PHC approach, evaluation of potential outcome measures, meta analysis of data to provide characteristics to define noninferiority criteria) • Application of statistical skills and thinking to develop design options that address cost time uncertainty and probability of success with the appropriate use of modelling and simulation or other techniques to enable the business to make informed decisions. • Providing specifications and direction to outsourcing partners/providers to ensure clarity and appropriateness of specifications and standards, early resolution of emerging issues. They hold partners and providers accountable for the quality of their deliverable. • Application of statistical skills to provide support to the regulatory submissions including specification of overview documents and response to regulatory questions. • Application of expert statistical skills to support value demonstration and commercialisation of the product including Health Technology Assessment (HTA), Patient Reported Outcomes (PRO) utilisation and global publication team activities. • Leadership of Statistical contribution for a well-defined area as delegated by GPS and agreed with manager as a lead statistician or lead modeller • Leadership of a small improvement projects. • Leadership of a statistical contribution to a well-defined area as delegated by a Statistical Expert and agreed with their manager as a lead statistician • Contributing to the development, sharing and/or statistical support of new procedures, tools or techniques in order that the quality, efficiency or effectiveness of the Group is improved. • Identifies and applies statistical methodology to improve the methodology and provide practical solutions for clinical development activities • Network with colleagues and experts, providing statistical expertise and serving as a resource for others by sharing experience within and beyond project team. • Negotiates time frames for the completion of tasks Minimum Requirements –Education and Experience: • Essential – MS/MSc in Statistics or Medical Statistics with experience as a statistician in the health care environment or relevant areas of statistical applications or relevant areas of statistical applications BS/BSc in Statistics or related field with experience as a statistician in the health care environment or relevant statistical applications • Desirable – PhD in Statistics with experience as a statistician in the health care environment or relevant areas of statistical applications And • Study design from more than one phase of drug development or extensive experience of study design for regulatory submissions or extensive experience of study design is a specialised area (Safety evaluation, RWE, HTA, clinical discovery interface, modelling and simulation). • Experience of analysis of data from more than one phase of drug development, or extensive experience of regulatory submissions or commercial support or extensive experience in a specialised area (Knowledge of Pharmaceutical drug development and marketing) • Application of statistical techniques in the analysis of data from clinical studies or other relevant areas • Ability to communicate complex statistical concepts to non-statisticians both verbally and in writing. If you are interested in this role please send your CV to [log in to unmask] or call me on 01625 519700. 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: Wed, 5 Dec 2012 10:27:52 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: CK Clinical - JOB- Principal Programmer UK Pharma Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A85CB7CKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A85CB7CKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear ALLSTAT, CK Clinical is recruiting for a Principal SAS programmer who has experience with Harp to join a global pharmaceutical company at their site based in London, or home-based, on a 12 month contract basis. You will be responsible for developing and executing SAS programs to produce and QC analysis and reporting datasets, statistical analysis tables and figures as well as summary tables and listings of clinical trial study data for an HIV compound. Further responsibilities of the Principal Programmer include: * Plans and participates in programming/QC activities for multiple studies or across an indication including submission activities. * Contributes to standards within a therapeutic area in accordance with the Asset Data Strategy. Leads the eCRF Development process. * Plans and manages the eCRF Development and Post Go Live timelines. Provides Technical expertise to internal/external customers in support of clinical study data. * Provides consultancy with regard to study specific technical activities and issues, i.e., analysis of existing business technology issues and development of plans for capability improvement through increased efficiency or effectiveness. * Provides Technical consultancy to R&D strategic initiatives and contributes to plans for capability improvement through increased efficiency or effectiveness. The accountabilities of the Principal Programmer are: * Leads small non-clinical projects within department and with experience in grade, major projects (clinical or non-clinical), across the wider Programming Community. * May lead the development of standards- Includes -omics, biomarker, and in-licensed compounds and input into industry standards. * Able to motivate staff within functional or cross-functional team - may represent the Programming community externally (e.g. FDA teleconferences). * Be able to resource effectively to meet team milestones, enable prompt decision-making for the projects and to build credibility and presence with customers. * Influences and adds value (e.g. data visualization) at study team and functional team level to enable decision-making. * Utilizes other disciplines outside of the programming area to solve complex problems; proactively identifies technical programming problems; define criteria for assessing alternative solutions & determine the optimal approach; make decisions in face of unusual and conflicting information. * Identifies recurring problems and initiates process improvement. * Proactively identify, assess and resolve the impact of decisions/actions from other groups. Appreciation of future direction/wider objectives (project or business). As a Principal Programmer, the following qualifications, skills and experience are required: * Leverages relationships to address Project / Study issues. * Delivers all communication with clarity, impact and passion and tailored to the audience. Makes complex ideas simple. Applies effective verbal and written communications skills at project level and external (e.g. Commercial, Regulatory). * May present at project level and externally; applies skills at any level with experience in grade. Provides broader level knowledge and expertise (e.g., UNIX scripting, computing environments, Data Capture, tools integration, Data Extraction); provides technical advice to other teams/ departments. Provides advice on technical issues outside of community (e.g. Global Software Applications, Impact of new software and systems). * Takes an initiative (a clearly interconnected set of activities) designed to raise the value added to customers. * Bachelor's Degree / Master's Degree or equivalent with proven applicable experience. * Expertise in SAS. * Understanding of regulatory process. * Ability to generate/implement ideas/solutions to cross functional strategy (e.g., outsourcing strategies). * Anticipate process and software challenges. Expertise in SAS, SQL and/or other scripting and programming languages; Relational Database Design. For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively, please click on the link below to apply online now. CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria. If you do not hear back from us within 5 working days of your application for this role, it means that on this occasion you have not been shortlisted for the next stage of the recruitment campaign. Entitlement to work in the EEA is essential. Please quote reference CL25815 in all correspondence. Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A85CB7CKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear ALLSTAT,

 

CK Clinical is recruiting for a Principal SAS programmer who has experience with Harp to join a global pharmaceutical company at their site based in London, or home-based, on a 12 month contract basis.

 

You will be responsible for developing and executing SAS programs to produce and QC analysis and reporting datasets, statistical analysis tables and figures as well as summary tables and listings of clinical trial study data for an HIV compound.

Further responsibilities of the Principal Programmer include:

•              Plans and participates in programming/QC activities for multiple studies or across an indication including submission activities.

•              Contributes to standards within a therapeutic area in accordance with the Asset Data Strategy. Leads the eCRF Development process.

•              Plans and manages the eCRF Development and Post Go Live timelines. Provides Technical expertise to internal/external customers in support of clinical study data.

•              Provides consultancy with regard to study specific technical activities and issues, i.e., analysis of existing business technology issues and development of plans for capability improvement through increased efficiency or effectiveness.

•              Provides Technical consultancy to R&D strategic initiatives and contributes to plans for capability improvement through increased efficiency or effectiveness.

The accountabilities of the Principal Programmer are:

•              Leads small non-clinical projects within department and with experience in grade, major projects (clinical or non-clinical), across the wider Programming Community.

•              May lead the development of standards- Includes -omics, biomarker, and in-licensed compounds and input into industry standards.

•              Able to motivate staff within functional or cross-functional team - may represent the Programming community externally (e.g. FDA teleconferences).

•              Be able to resource effectively to meet team milestones, enable prompt decision-making for the projects and to build credibility and presence with customers.

•              Influences and adds value (e.g. data visualization) at study team and functional team level to enable decision-making.

•              Utilizes other disciplines outside of the programming area to solve complex problems; proactively identifies technical programming problems; define criteria for assessing alternative solutions & determine the optimal approach; make decisions in face of unusual and conflicting information.

•              Identifies recurring problems and initiates process improvement.

•              Proactively identify, assess and resolve the impact of decisions/actions from other groups. Appreciation of future direction/wider objectives (project or business).

As a Principal Programmer, the following qualifications, skills and experience are required:

•              Leverages relationships to address Project / Study issues.

•              Delivers all communication with clarity, impact and passion and tailored to the audience. Makes complex ideas simple. Applies effective verbal and written communications skills at project level and external (e.g. Commercial, Regulatory).

•              May present at project level and externally; applies skills at any level with experience in grade. Provides broader level knowledge and expertise (e.g., UNIX scripting, computing environments, Data Capture, tools integration, Data Extraction); provides technical advice to other teams/ departments. Provides advice on technical issues outside of community (e.g. Global Software Applications, Impact of new software and systems).

•              Takes an initiative (a clearly interconnected set of activities) designed to raise the value added to customers.

•              Bachelor’s Degree / Master’s Degree or equivalent with proven applicable experience.

•              Expertise in SAS.

•              Understanding of regulatory process.

•              Ability to generate/implement ideas/solutions to cross functional strategy (e.g., outsourcing strategies).

•              Anticipate process and software challenges. Expertise in SAS, SQL and/or other scripting and programming languages; Relational Database Design.

 

For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively, please click on the link below to apply online now.

 

CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria.

 

If you do not hear back from us within 5 working days of your application for this role, it means that on this occasion you have not been shortlisted for the next stage of the recruitment campaign. Entitlement to work in the EEA is essential. Please quote reference CL25815 in all correspondence.

 

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

 

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
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You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A85CB7CKASBS2011CKAloca_-- ========================================================================Date: Wed, 5 Dec 2012 10:43:43 +0000 Reply-To: Tarani Chandola <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Tarani Chandola <[log in to unmask]> Subject: RSS Social Statistics speaker event: Applications of multilevel models with country as a unit of analysis: 5:00-7:30 pm, 11 December 2012 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Apologies for the repost. RSS Social Statistics speaker event: Applications of multilevel models with country as a unit of analysis 5:00-7:30 pm, 11 December 2012, The Royal Statistical Society 12 Errol Street, London EC1Y 8LX The Social Consequences of Unemployment in Europe: a Two-Stage Multilevel Analysis: Vanessa Gash (City University) In this paper we examine the relationship between unemployment and social participation and aim to identify the role of national policies and attitudes as possible mediators. We use the 2006 EU-SILC module on social participation – a dataset that provides rich information on social participation for 24 EU countries. We adopt a two-stage multilevel design, allowing us to directly examine the impact of national policies and norms on individual outcome. The paper reveals clear evidence that the negative impact of unemployment on participation levels can be alleviated by macro-level factors. Societies where egalitarian ideals are held high have higher social participation rates amongst their unemployed Exploiting Space and Time in Multilevel Models: Applications to Climate Change and Religiosity: Malcolm Fairbrother (University of Bristol) Multilevel/mixed models are routinely fitted to longitudinal data (with observations nested within units) and also to units nested within groups at a given point in time (such as respondents to a survey nested within their countries of residence). Increasing numbers of datasets in many fields of research are characterised by both types of clustering simultaneously. I present two useful techniques for analysing data with these characteristics. These techniques allow change over time in y to be a function of change over time in x and/or the time-invariant level of x. Simulation studies show that these techniques are generally robust even to the presence of complications that may arise with real-world data. I then demonstrate the kinds of insights they can provide, using applications to two very different topics: the relationships between climate and economic growth, and between social inequality and religiosity. Ian Plewis (University of Manchester) will act as a discussant for the papers. The meeting will be preceded by the AGM of the Social Statistics section. 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: Wed, 5 Dec 2012 11:08:49 +0000 Reply-To: "Kells, Richard" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Kells, Richard" <[log in to unmask]> Subject: COURSE: Introduction to Clinical Trials course at Imperial College Content-Type: multipart/alternative; boundary="_000_82CDED4F9ADC454684252C0CE48052532FD68487icexchm5icacuk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_82CDED4F9ADC454684252C0CE48052532FD68487icexchm5icacuk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable We have places available on next month's 2 day Clinical Trials course... _________________________________________ Introduction to Design and Analysis of Clinical Trials * Tue 08 & Wed 09 January 2013 (10.00-17.00) Weblink: http://www3.imperial.ac.uk/stathelp/courses/clinicaltrials __________________________________________ 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. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_82CDED4F9ADC454684252C0CE48052532FD68487icexchm5icacuk_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

We have places available on next month’s 2 day Clinical Trials course...

_________________________________________

Introduction to Design and Analysis of Clinical Trials

·        Tue 08 & Wed 09 January 2013 (10.00-17.00)

Weblink: http://www3.imperial.ac.uk/stathelp/courses/clinicaltrials

__________________________________________

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.

 

 

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_82CDED4F9ADC454684252C0CE48052532FD68487icexchm5icacuk_-- ========================================================================Date: Wed, 5 Dec 2012 11:51:51 +0000 Reply-To: Fiona Steele <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Fiona Steele <[log in to unmask]> Subject: PhD studentships in social and applied statistics, University of Bristol MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Content-Disposition: inline Message-ID: <[log in to unmask]> Dear all, Re: 4 ESRC PhD studentships at University of Bristol. We are keen to attract applications from Masters-level students from mathematical/statistical disciplines who wish to conduct PhD research in social statistics or statistics with cross-disciplinary applications in the social sciences. Please see the advertisement below and follow the link to the Bristol AQM web site. Note that the deadline is 14 February 2013. Fiona Steele ----------------------------------------- South West Doctoral Training Centre, University of Bristol 4 ESRC Studentships in Advanced Quantitative Methods in Social Sciences & Health We are pleased to invite applications for 4 ESRC '+3' studentships on the SWDTC's Advanced Quantitative Methods in Social Science & Health (AQM) pathway. The AQM pathway is based at the University of Bristol and these studentships will run from October 2013. The deadline for applications is 14 February 2013. The AQM pathway involves PhD supervision and core training on the application of advanced quantitative methods in the social and health sciences. It is run by leading academics from the University of Bristol's Centre for Multilevel Modelling, Centre for Market & Public Organisation, the School of Geographic Sciences, and the School of Social & Community Medicine. AQM is for: - Social scientists who wish to develop their quantitative research skills in order to address substantive problems, and particularly those involving secondary data analysis. - Statistical researchers who wish to specialise in the development and application of statistical methods to address important issues in the social sciences. Applications are welcome from graduates in quantitative social science disciplines and more technical quantitative disciplines like statistics and econometrics. Applicants must have completed a Master's degree satisfying the ESRC Postgraduate Training & Development Guidelines by 30 September 2013. AQM is a priority area and successful applicants will be eligible for an additional £3,000, making a total annual maintenance stipend of £16,590. For more details about AQM studentships and the applications procedure visit: http://www.bris.ac.uk/cmm/aqm 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: Wed, 5 Dec 2012 12:26:24 +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: BIOSTATISTICAL PROGRAMMING MANAGER- London Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE5EC6HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE5EC6HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBzdGF0aXN0aWNpYW4g 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========================================================================Date: Wed, 5 Dec 2012 15:00:40 -0000 Reply-To: Stewart Ellison <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Stewart Ellison <[log in to unmask]> Subject: Considering a move into a contract clinical trial statistical/SAS programming role? MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_00F0_01CDD2F9.4B29C250" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_00F0_01CDD2F9.4B29C250 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Contract clinical trial statistics/SAS programming role? PHASTAR is a CRO run and managed by statisticians. We are currently exploring opportunities for statisticians/SAS programmers looking to advance their career into contracting PHASTAR is a CRO specialising in: study design (pre-clinical to phase IV), challenging statistical consultancy, reporting studies using SAS (sometimes S+ and R), and mapping SDTM and ADaM datasets in CDISC. PHASTAR is looking to employ qualified contract statisticians and SAS programmers with 3+ years relevant industry experience to support upcoming projects. You should have an ability to hit the ground running, and to solve technical problems independently. A more detailed job description can be emailed to you once initial contact has been made. - Advance your career in intellectually-stimulating, growing, dynamic, work environment - Variety of challenging projects with a number of large, reputable pharma companies (range of therapeutic areas and phases) - Competitive contractor rates - Company owned and run by statisticians - All applicants will be contacted within three working days PHASTAR possess a powerful business model and a solid reputation for quality that consistently wins proposals against other top statistical CRO's. You will be supported by experienced managers, familiar with a range of therapeutic areas. Successful statistical candidates must have a MSc or PhD in statistics, and must be technically sound. SAS programmers should have relevant experience. Both should also possess effective communication skills, and an ability to display project leadership. Contact the PHASTAR recruitment manager confidentially: [log in to unmask] or call 0207 183 7062 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_00F0_01CDD2F9.4B29C250 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Contract clinical trial statistics/SAS programming role?

 

PHASTAR is a CRO run and managed by statisticians. We are currently exploring opportunities for statisticians/SAS programmers looking to advance their career into contracting

 

PHASTAR is a CRO specialising in: study design (pre-clinical to phase IV), challenging statistical consultancy, reporting studies using SAS (sometimes S+ and R), and mapping SDTM and ADaM datasets in CDISC. PHASTAR is looking to employ qualified contract statisticians and SAS programmers with 3+ years relevant industry experience to support upcoming projects. You should have an ability to hit the ground running, and to solve technical problems independently. A more detailed job description can be emailed to you once initial contact has been made.

- Advance your career in intellectually-stimulating, growing, dynamic, work environment

- Variety of challenging projects with a number of large, reputable pharma companies (range of therapeutic areas and phases)

- Competitive contractor rates

- Company owned and run by statisticians

- All applicants will be contacted within three working days

 

PHASTAR possess a powerful business model and a solid reputation for quality that consistently wins proposals against other top statistical CRO’s. You will be supported by experienced managers, familiar with a range of therapeutic areas. Successful statistical candidates must have a MSc or PhD in statistics, and must be technically sound. SAS programmers should have relevant experience.  Both should also possess effective communication skills, and an ability to display project leadership.

 

Contact the PHASTAR recruitment manager confidentially: [log in to unmask] or call 0207 183 7062

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_00F0_01CDD2F9.4B29C250-- ========================================================================Date: Wed, 5 Dec 2012 15:50:52 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: Contract Biostatistician 12 Months (London) Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011DE69EHRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011DE69EHRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBjb250cmFjdCBCaW9z dGF0aXN0aWNpYW4gdmFjYW5jeSBmb3IgdGhlIFVLIGFuZCBhIGJyaWVmIGpvYiBkZXNjcmlwdGlv biB3b3JraW5nIHdpdGggYSBwaGFybWFjZXV0aWNhbCBjbGllbnQuCgpCSU9TVEFUSVNUSUNJQU4K 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IHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_865C735EC628874680AFDB5D6931883A011DE69EHRMWSXS1478emea_-- ========================================================================Date: Wed, 5 Dec 2012 16:09:49 +0000 Reply-To: Ruth King <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Ruth King <[log in to unmask]> Subject: JOB: Teaching fellow in Statistics at University of St Andrews Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Dear Allstat, The following position is currently being advertised: Teaching Fellow in Statistics at the School of Mathematics & Statistics, University of St Andrews. Salary - £30,122 - £35,938 per annum. Fixed Term: 2 years Job reference: ML1058 Closing date: 14th January 2013 Start date: from 1 February 2013 (flexible) Interview date: 30th January 2013 Details This is a two year post, with flexible starting date from 1 February 2013 onwards. You should hold (or be about to obtain) a postgraduate degree in Statistics or a closely related discipline, have teaching experience, and a commitment to educate and inform. Experience of supervising MSc dissertations is also desirable. You will join a thriving Statistics Division with particular strength in the area of Statistical Ecology. The School was rated top in Scotland and 3rd in the UK in the 2012 Guardian University Guide. The University was rated 3rd in the UK in this guide. For further information please see the full job advert and further particulars via the following website: https://www.vacancies.st-andrews.ac.uk/ Informal enquiries to Dr Ruth King e-mail: [log in to unmask] Ruth King -- Dr. Ruth King Head of Statistics Division School of Mathematics and Statistics University of St Andrews 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: Wed, 5 Dec 2012 16:12:17 +0000 Reply-To: Alison Williams <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Alison Williams <[log in to unmask]> Subject: JOBS - Barts & the London School of Medicine & Dentistry - Postdoctoral Bio-Statistician & Postdoctoral Computational Biologist Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Postdoctoral Bio-Statistician (Grade 5) & Postdoctoral Computational Biologist (Grade 5) Arthritis Research UK Experimental Treatment Centre National Institute for Health Research (NIHR) Efficacy Mechanism Evaluation (EME) Programme and NIHR Translational Research Partnership Unit at Barts Centre for Experimental Medicine and Rheumatology The William Harvey Research Institute (WHRI). We are seeking to appoint two new postdoctoral posts to join an integrated, multidisciplinary research team of Scientists and Clinicians, led by Professor Cos Pitzalis, focused on Inflammation and Rheumatology research at the William Harvey Research Institute (WHRI) and partner institutions on our picturesque Charterhouse Square campus. These posts are funded by the WHRI Centre for Experimental Medicine & Rheumatology (EMR) http://www.whri.qmul.ac.uk/staff/Pitzalis.html , but the Computational Biologist will be hosted within the WHRI Bioinformatics team (http://www.smd.qmul.ac.uk/bioinf/) and the Biostatistician will be aligned closely with the Wolfson Institute of Preventive Medicine (http://www.wolfson.qmul.ac.uk/). We wish to identify potential appointees of the highest calibre for the following posts: 1. Postdoctoral Fellow, Bio-Statistics - Grade 5 (£33,944 - £35,824). Working under the direction of senior medical statisticians (including Professor Peter Sasieni) within the Wolfson Institute of Preventive Medicine, the appointee will serve as a critical conduit between the WHRI and the world renowned biostatistical clinical trial expertise in the Wolfson Institute. You will provide leadership on the statistical design and analysis of clinical trials within the EMR, working closely with our Bioinformatics team to construct a statistical framework for the discovery of biomarkers for patient stratification from diverse genomic and clinical data. The position would particularly suit an ambitious early career researcher with an interest in the application of new biostatistical approaches to genomic medicine in clinical trials (3 years) (Reference Number: QMUL1373). 2. Postdoctoral Researcher, Bioinformatics - Grade 5 (£33,944 - £35,824). As a member of our translational bioinformatics team headed by Dr Michael Barnes, you will be focused on using cutting edge bioinformatics techniques to gain an integrated view of RA disease pathology and therapeutic response. The successful candidate will lead RNA-seq and transcriptomic analysis to identify genes and pathways linked to biologic response in Rheumatoid Arthritis. Working with a range of Omic data, you will formulate new integrative pathway models leading to the development of new stratified medicine opportunities. (3 years) (Reference Number: QMUL1374). Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme. Informal enquiries about these posts are welcome and can be made to Dr. Michael Barnes (Bioinformatics) ([log in to unmask]), Prof Peter Sasieni (Biostatistician) ([log in to unmask]) or Prof C. Pitzalis (EMR) ([log in to unmask]) or +44 2078828192. Details about the William Harvey Research Institute can be found on www.whri.qmul.ac.uk. Further details and an application form can be found at www.jobs.qmul.ac.uk by searching the relevant vacancy references shown above. The deadline for return of completed applications for advertised posts is midnight (GMT) on Sunday, 6 January, 2013. Valuing Diversity & Committed to Equality 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: Wed, 5 Dec 2012 17:25:49 +0100 Reply-To: Virgilio =?ISO-8859-1?Q?Gómez-Rubio?= <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Virgilio =?ISO-8859-1?Q?Gómez-Rubio?= <[log in to unmask]> Subject: Reminder: useR! 2013 call for tutorials Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: quoted-printable Mime-Version: 1.0 Message-ID: <1354724749.3086.6.camel@virgil-HP-Compaq-8000-Elite-USDT-PC> Dear all, This is a reminder that the deadline for submitting a tutorial proposal for the useR! 2013 conference is December 15, 2012. See details below. Best wishes, Virgilio --- We are pleased to announce that the R user conference useR! 2013 is scheduled for July 10-12, 2013, and will take place at the University of Castilla-La Mancha, Albacete, Spain. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available soon). Prior to the conference, there will be tutorials on R (proposals for tutorials should be sent before December 15, 2012, see below). CONFIRMED INVITED SPEAKERS María Jesús Bayarri, José Manuel Benítez-Sánchez, Havard Rue, Steve Scott and Hadley Wickham USER-CONTRIBUTED SESSIONS The conference will feature both talks and posters illustrating the use of R in practice. Contributions are welcome that introduce recent developments in the R Project (including CRAN packages), demonstrate applications of R in areas of current interest, or otherwise engage and inspire participants in their use of R. PRE-CONFERENCE TUTORIALS Before the official program, half-day tutorials will be offered on Tuesday, July 9. We invite R users to submit proposals for three hour tutorials on special topics regarding R. The proposals should give a brief description of the tutorial, including goals, detailed outline, justification of why the tutorial is important, background knowledge required and potential attendees. The proposals should be sent before December 15, 2012 to useR-2013_at_R-project.org. A web page offering more information on the `useR!' conference is available at http://www.R-project.org/useR-2013 We hope to see you in Albacete! The organizing committee: Esteban Alfaro, José Luis Alfaro, M. Teresa Alonso, Emilio L. Cano, Gonzalo García-Donato, Matías Gámez, Noelia García, Virgilio Gómez-Rubio, María José Haro, Eva J. Moreno and Francisco Parreño. 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: Wed, 5 Dec 2012 17:29:40 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Senior Statistical Programmer | CDISC expertise | Germany | =?utf-8?Q?€65_-_€75_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F06923A0AC2msx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F06923A0AC2msx1s2berdlpl_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" Rm9yIGZ1cnRoZXIgZGV0YWlscyBvciBhIGNvbmZpZGVudGlhbCBjb252ZXJzYXRpb24gcGxlYXNl IGVtYWlsIGRvdWcucm9iZXJ0c0BzZWNwaGFybWEuY29tPG1haWx0bzpkb3VnLnJvYmVydHNAc2Vj 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b24gdGhpcyBtZXNzYWdlIG9yIGl0cyBhdHRhY2htZW50cyBpcyBwcm9oaWJpdGVkIGFuZCBtYXkg YmUgdW5sYXdmdWwuIEF0DQogcHJlc2VudCB0aGUgaW50ZWdyaXR5IG9mIGUtbWFpbCBhY3Jvc3Mg dGhlIEludGVybmV0IGNhbm5vdCBiZSBndWFyYW50ZWVkIGFuZCBtZXNzYWdlcyBzZW50IHZpYSB0 aGlzIG1lZGl1bSBhcmUgcG90ZW50aWFsbHkgYXQgcmlzay4gQWxsIGxpYWJpbGl0eSBpcyBleGNs dWRlZCB0byB0aGUgZXh0ZW50IHBlcm1pdHRlZCBieSBsYXcgZm9yIGFueSBjbGFpbXMgYXJpc2lu ZyBhcyBhIHJlc3VsdCBvZiB0aGUgdXNlIG9mIHRoaXMgbWVkaXVtIHRvIHRyYW5zbWl0DQogaW5m b3JtYXRpb24gYnkgb3IgdG8gU0VDIFJlY3J1aXRtZW50IExpbWl0ZWQuPGJyPg0KPC9mb250Pg0K PC9ib2R5Pg0KPC9odG1sPg0KWW91IG1heSBsZWF2ZSB0aGUgbGlzdCBhdCBhbnkgdGltZSBieSBz ZW5kaW5nIHRoZSBjb21tYW5kDQo8cD4NClNJR05PRkYgYWxsc3RhdA0KPC9wPjxwPg0KdG8gPGEg aHJlZj0ibWFpbHRvOmxpc3RzZXJ2QGppc2NtYWlsLmFjLnVrIj5saXN0c2VydkBqaXNjbWFpbC5h Yy51azwvYT4sIGxlYXZpbmcgdGhlIHN1YmplY3QgbGluZSBibGFuay4NCg=--_000_6D20A4DCA47B86428D14CF60A030E86F06923A0AC2msx1s2berdlpl_-- ========================================================================Date: Wed, 5 Dec 2012 18:55:52 +0000 Reply-To: Ivonne Solis-Trapala <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Ivonne Solis-Trapala <[log in to unmask]> Subject: PhD STUDENTSHIP IN STATISTICS at the MRC Human Nutrition Research Unit in Cambridge Content-Type: multipart/alternative; boundary="_c8e65f30-66f1-4fdc-ad74-8e2a8b2f5a92_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_c8e65f30-66f1-4fdc-ad74-8e2a8b2f5a92_ Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Dear All, Please see below details of an MRC PhD Studentship in Statistics which will be based at the MRC Human Nutrition Research unit in Cambridge. This PhD project will suit a student with a strong statistical background and an interest in developing statistical methodology within a multidisciplinary research environment in nutrition. Kind regards, Ivonne Solis-Trapala MRC Human Nutrition Research MRC PhD Studentship (University of Cambridge) Title: Multivariate measurement error models in nutritional epidemiology Applications are invited for a PhD studentship funded by the Medical Research Council, to commence in October 2013, in the Department of Diet and Population Health (Head of Department: Dr Susan Jebb). Nutritional epidemiology is concerned with the elucidation of associations among nutrition exposures and health outcomes. In these studies, the outcome variables, the factors of exposure, or both may be subject to measurement error. For example, diet diaries or food frequency questionnaires that are typically used to measure nutrient intake are subject to large measurement error because of the daily and seasonal variability of an individual’s diet, and this leads to biased estimates of diet and health outcome associations. In studies investigating associations of genetic predisposition and diet with obesity-related diseases, the outcome variables, for example insulin sensitivity or dyslipidaemia, are also measured with error. The lack of precision in the measurement or estimation of the variables involved often leads to misinterpretation of the study results. The impact of and correction for measurement error in epidemiological research has been studied extensively for problems involving single error-prone measurements, but little work has been done to model dependence structures of complex multivariate data and their measurement error. This PhD project will develop new multivariate measurement error models in two substantive areas of nutrition research. Firstly the student will characterise diet patterns taking into consideration that nutrients and foods are not consumed in isolation and that these dietary components interact with one another in their associations with health outcomes. Secondly, the student will investigate paths of associations of genetic predisposition in obesity-related diseases in response to diet interventions, where the outcome measures are subject to measurement error. This project will suit a student with a strong statistical background and interest in developing statistical methodology within a multidisciplinary research environment in nutrition. The successful candidate will be registered with the University of Cambridge and should have, or expect to obtain, a first or upper second class honours degree in an appropriate subject. The studentship is available to UK residents and EU nationals who have been resident in the UK for at least the previous three years. Further information about residence eligibility criteria can be found at www.mrc.ac.uk. Further information about MRC Human Nutrition Research can be obtained from our website (www.mrc-hnr.cam.ac.uk). Informal enquiries are welcome and should be directed to the project supervisor Dr Ivonne Solis-Trapala ([log in to unmask]). Applicants should provide a full CV and covering letter explaining their interest in the studentship, and details of two academic referees. Please email to [log in to unmask] or post to Postgraduate Administrator, MRC Human Nutrition Research, Fulbourn Road, Cambridge CB1 9NL. Closing date: Sunday 6th January 2013 Anticipated Interviews: Monday 4th March 2013 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_c8e65f30-66f1-4fdc-ad74-8e2a8b2f5a92_ Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable

Dear All,

 

Please see below details of an MRC PhD Studentship in Statistics which will be based at the MRC Human Nutrition Research unit in Cambridge. This PhD project will suit a student with a strong statistical background and an interest in developing statistical methodology within a multidisciplinary research environment in nutrition.

 

Kind regards,

Ivonne Solis-Trapala

 

 

 

MRC Human Nutrition Research

 

MRC PhD Studentship (University of Cambridge)

 

Title: Multivariate measurement error models in nutritional epidemiology

 

Applications are invited for a PhD studentship funded by the Medical Research Council, to commence in October 2013, in the Department of Diet and Population Health (Head of Department: Dr Susan Jebb).

 

Nutritional epidemiology is concerned with the elucidation of associations among nutrition exposures and health outcomes.  In these studies, the outcome variables, the factors of exposure, or both may be subject to measurement error. For example, diet diaries or food frequency questionnaires that are typically used to measure nutrient intake are subject to large measurement error because of the daily and seasonal variability of an individual’s diet, and this leads to biased estimates of diet and health outcome associations. In studies investigating associations of genetic predisposition and diet with obesity-related diseases, the outcome variables, for example insulin sensitivity or dyslipidaemia, are also measured with error. The lack of precision in the measurement or estimation of the variables involved often leads to misinterpretation of the study results. The impact of and correction for measurement error in epidemiological research has been studied extensively for problems involving single error-prone measurements, but little work has been done to model dependence structures of complex multivariate data and their measurement error.

 

This PhD project will develop new multivariate measurement error models in two substantive areas of nutrition research. Firstly the student will characterise diet patterns taking into consideration that nutrients and foods are not consumed in isolation and that these dietary components interact with one another in their associations with health outcomes. Secondly, the student will investigate paths of associations of genetic predisposition in obesity-related diseases in response to diet interventions, where the outcome measures are subject to measurement error.

 

This project will suit a student with a strong statistical background and interest in developing statistical methodology within a multidisciplinary research environment in nutrition. The successful candidate will be registered with the University of Cambridge and should have, or expect to obtain, a first or upper second class honours degree in an appropriate subject. The studentship is available to UK residents and EU nationals who have been resident in the UK for at least the previous three years. Further information about residence eligibility criteria can be found at www.mrc.ac.uk.

 

Further information about MRC Human Nutrition Research can be obtained from our website (www.mrc-hnr.cam.ac.uk).  Informal enquiries are welcome and should be directed to the project supervisor Dr Ivonne Solis-Trapala ([log in to unmask]).

 

Applicants should provide a full CV and covering letter explaining their interest in the studentship, and details of two academic referees. Please email to [log in to unmask] or post to Postgraduate Administrator, MRC Human Nutrition Research, Fulbourn Road, Cambridge CB1 9NL.

 

Closing date: Sunday 6th January 2013

Anticipated Interviews: Monday 4th March 2013

 

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_c8e65f30-66f1-4fdc-ad74-8e2a8b2f5a92_-- ========================================================================Date: Wed, 5 Dec 2012 19:01:07 +0000 Reply-To: Chris Kershaw <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chris Kershaw <[log in to unmask]> Subject: Vacancy at Nottingham Trent University MIME-Version: 1.0 Content-Type: multipart/alternative; boundary cf3071cf82a4ebf704d01f9c71 Message-ID: <[log in to unmask]> --20cf3071cf82a4ebf704d01f9c71 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Research Associate in Criminology (H0291) College/Department: College of Business, Law and Social Sciences School/Section: School of Social Sciences Job title: Research Associate in Criminology Salary: £25,251-£29,249 p.a. (Grade G) Location: City site Closing date: 5 pm on 2 January 2013 For more details and to apply online one would need to access the NTU link: https://vacancies.ntu.ac.uk/default.asp?Section=Vacancy&VacID=001313. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --20cf3071cf82a4ebf704d01f9c71 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Research Associate in Criminology (H0291)

College/Department: College of Business, Law and Social Sciences

School/Section: School of Social Sciences

Job title: Research Associate in Criminology

Salary: £25,251-£29,249 p.a. (Grade G)

Location: City site

Closing date: 5 pm on 2 January 2013

For more details and to apply online one would need to access the NTU link:
https://vacancies.ntu.ac.uk/default.asp?Section=Vacancy&VacID=001313.
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --20cf3071cf82a4ebf704d01f9c71-- ========================================================================Date: Wed, 5 Dec 2012 22:46:08 +0000 Reply-To: Chaitanya Joshi <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chaitanya Joshi <[log in to unmask]> Subject: JOB: Lecturer in Statistics, University of Waikato, Hamilton, NZ MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-1470824145-1549550523-1354747568=:49056" Message-ID: <[log in to unmask]> ---1470824145-1549550523-1354747568=:49056 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable 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 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---1470824145-1549550523-1354747568=:49056 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable


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
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ---1470824145-1549550523-1354747568=:49056-- ========================================================================Date: Thu, 6 Dec 2012 08:30:22 +0000 Reply-To: "Ashby, Deborah" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Ashby, Deborah" <[log in to unmask]> Subject: ANNOUNCE: NIHR Research Methods Fellowships and Internships Round 4 Comments: cc: Research Methods <[log in to unmask]> Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> The National Institute for Health Research (NIHR) Trainees Coordinating Centre (TCC) is launching round 4 of NIHR Research Methods Fellowships and Internships to support the development of individuals with expertise in research methods including: * Medical statistics * Health economics * Clinical trial design * Operational research * Modelling NIHR Research Methods Fellowships and Internships form part of the NIHR Research Methods Programme, the purpose of which is to: * Attract to the NIHR the most talented individuals, especially those who are not currently working in a health-related field; and * Provide these individuals with the necessary support and training to become specialist methodologists in areas relevant to the NIHR; or * Expand their research interests into areas relevant to the NIHR. Applications are invited for funding to host NIHR Research Methods Fellowships and Internships. Applications must include a named NIHR Senior Investigator as either the supervisor or co-supervisor of the Fellow. Where a NIHR Senior Investigator is not a methodologist a named methodologist must be included in the application. Further details including the application pack are available at http://www.nihrtcc.nhs.uk/ Any queries should be emailed to [log in to unmask] The closing date for submission of applications is 4th February 2013. Deborah Ashby OBE FMedSci Professor of Medical Statistics and Clinical Trials Co-Director of Imperial Clinical Trials Unit School of Public Health Imperial College London London W2 1PG UK email: [log in to unmask] T: (0)20 7594 8704 http://www1.imperial.ac.uk/medicine/people/deborah.ashby/ PA Jane Okwesa [log in to unmask] T: (0)20 7594 1218 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: Thu, 6 Dec 2012 12:24:32 +0000 Reply-To: RSS Allstat Mailbox <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: RSS Allstat Mailbox <[log in to unmask]> Subject: CONFERENCE: Statistics for adult social care policy, 29 January 2013 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Conference on statistics for adult social care policy 29 January 2013; 10am to 4pm; Royal Statistical Society, 12 Errol Street, London EC1Y 8LX Further information and registration details at: http://tinyurl.com/ccfn2fe The imperative for reform of the system of funding of social care in England has again been highlighted by the report of the Dilnot Commission, and the case for reform has been accepted in principle by the Government. However, the Dilnot Commission also highlighted the lack of a robust statistical base either for analysing the current social care situation or for monitoring and evaluating the effects of future changes in policy. This one day Statistics User Forum conference at the Royal Statistical Society will bring together social care policy analysts and data producers together with bodies concerned with the funding of social care, to explore the adequacy of existing statistics to analyse adult social care service availability, utilisation and costs. If we were designing a statistical monitoring system from scratch, what would it look like? What are the gaps in the current system and how might they be addressed? The aim is to identify the major issues for future study and to map out how they might be addressed, as well as providing some pointers for action in the short and medium term. The conference will interest a wide range of organisations in both the public and private sectors with an interest in the provision of adult social care data: * Those concerned with social care policy * Commissioners of social care data from surveys and from administrative sources * Analysts and researchers in government, academia and research bodies * Those concerned with social care policy delivery in both the public and private sectors Fees are: Full fee £95 RSS Fellow rate £65 RSS Student Fellow / Retired Fellow rate £45 ______   Andrew Garratt Press and Public Affairs Manager   Royal Statistical Society 12 Errol Street, London EC1Y 8LX Tel:  (44) 020 7614 3920 Fax: (44) 020 7614 3905 Switchboard: (44) 020 7638 8998 Twitter: @RSSAndrew Advancing the science and application of statistics, and promoting use and awareness for public benefit www.rss.org.uk The RSS is a registered charity No. 306096. ______________________________________________________________________ This email has been scanned by the Symantec Email Security.cloud service. For more information please visit http://www.symanteccloud.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: Thu, 6 Dec 2012 13:21:45 +0000 Reply-To: "Eckley, Idris" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Eckley, Idris" <[log in to unmask]> Subject: STOR-i Workshop, 10th-11th January Mime-version: 1.0 Content-type: multipart/alternative; boundary="B_3437644983_40111223" Message-ID: <[log in to unmask]> > This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. --B_3437644983_40111223 Content-type: text/plain; charset="US-ASCII" Content-transfer-encoding: 7bit STOR-i Workshop, Lancaster University Thursday 10th-Friday 11th January, 2013 The STOR-i Doctoral Training Centre is hosting the second annual STOR-i research workshop with talks from key researchers from Statistics, Operational Research and Industry. We have a number of places available for PhD students and staff from UK universities. Please read on for further details. STOR-i is a pioneering training centre with a ground-breaking approach to statistics and operational research, one of only three mathematics-based doctoral training centres in the UK. We deliver a new style of training for PhD students with the aim to develop a new generation of researcher capable of making a real impact with their research in both the academic and industrial fields. For further information about the STOR-i DTC please visit our website at http://www.stor-i.lancs.ac.uk. Please see the STOR-i website for a schedule for the two day event: Day 1: http://www.stor-i.lancs.ac.uk/event-info/workshop2013-day1 Day 2: http://www.stor-i.lancs.ac.uk/event-info/workshop2013-day2. Please note attendance at the workshop is free, including all refreshments, lunch and evening meal on Day 1 and refreshments and lunch on Day 2. As part of our commitment to training and dissemination of research we are pleased to offer a limited number of workshop places to academic staff and PhD students from UK universities. Please read on for details of how to request a place on the workshop. Academic staff: If you would like to request a place on the STOR-i workshop, please send an email to [log in to unmask] by Friday 14th December containing: - Your name - Institution of research We will inform you on the 17th December whether you have secured a place on the workshop. PhD students: We have funding available to cover travel costs for a limited number of UK-based PhD students. To support a case for funding we require the title of your PhD, host institution/department/supervisor and a short statement (1/2 page maximum) outlining why attending the workshop would be beneficial to your studies. If you would like to request a place on the STOR-i workshop, please send an email to [log in to unmask] by Friday 14th December containing: - Your name - Institution of study - If you would like to apply for funding for travel, please also send details as outlined above. We will inform you on the 17th December whether you have secured a place on the workshop. Kind regards, Jonathan Tawn Director of STOR-i You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --B_3437644983_40111223 Content-type: text/html; charset="US-ASCII" Content-transfer-encoding: quoted-printable STOR-i Workshop, 10th-11th January STOR-i Workshop, Lancaster University
Thursday 10th-Friday 11th January, 2013

The STOR-i Doctoral Training Centre is hosting the second annual STOR-i research workshop with talks from key researchers from Statistics, Operational Research and Industry.  We have a number of places available for PhD students and staff from UK universities. Please read on for further details.

STOR-i is a pioneering training centre with a ground-breaking approach to statistics and operational research, one of only three mathematics-based doctoral training centres in the UK. We deliver a new style of training for PhD students with the aim to develop a new generation of researcher capable of making a real impact with their research in both the academic and industrial fields. For further information about the STOR-i DTC please visit our website at http://www.stor-i.lancs.ac.uk.
Please see the STOR-i website for a schedule for the two day event:
Day 1: http://www.stor-i.lancs.ac.uk/event-info/workshop2013-day1
Day 2: http://www.stor-i.lancs.ac.uk/event-info/workshop2013-day2.


Please note attendance at the workshop is free, including all refreshments, lunch and evening meal on Day 1 and refreshments and lunch on Day 2. As part of our commitment to training and dissemination of research we are pleased to offer a limited number of workshop places to academic staff and PhD students from UK universities. Please read on for details of how to request a place on the workshop.

Academic staff:
If you would like to request a place on the STOR-i workshop, please send an email to [log in to unmask]">[log in to unmask] by Friday 14th December containing:
-         Your name
-         Institution of research
We will inform you on the 17th December whether you have secured a place on the workshop.

PhD students:
We have funding available to cover travel costs for a limited number of UK-based PhD students. To support a case for funding we require the title of your PhD, host institution/department/supervisor and a short statement (1/2 page maximum) outlining why attending the workshop would be beneficial to your studies. If you would like to request a place on the STOR-i workshop, please send an email to [log in to unmask]">[log in to unmask] by Friday 14th December containing:
-         Your name
-         Institution of study
-         If you would like to apply for funding for travel, please also send details as outlined above.
We will inform you on the 17th December whether you have secured a place on the workshop.

Kind regards,

Jonathan Tawn
Director of STOR-i
 You may leave the list at any time by sending the command

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to [log in to unmask], leaving the subject line blank. --B_3437644983_40111223-- ========================================================================Date: Thu, 6 Dec 2012 13:17:38 +0000 Reply-To: Jan van de Kassteele <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jan van de Kassteele <[log in to unmask]> Subject: Course on Bayesian inference for latent Gaussian models using INLA Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Course on Bayesian inference for latent Gaussian models using INLA On January 24, 2013, a one day course on Bayesian inference for latent Gaussian models using INLA will be organized at the National Institute for Public Health and the Environment – RIVM, the Netherlands. The course will be presented by HÃ¥vard Rue of the Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway. Course information This one day course will provide an overview of the INLA approach and its applications. INLA (Integrated Nested Laplace Approximations) revolutionizes the computer performance of Bayesian inference for latent Gaussian models. Using this recent tool, very accurate approximations to the posterior marginals can be computed directly. The main benefit of these approximations is computational: where MCMC algorithms need hours or days to run, INLA provides precise estimates in seconds or minutes. Another advantage is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way. Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical modeling applications. It includes, among others: - (generalized) linear mixed models - (generalized) additive models - smoothing spline models and semi-parametric regression models - spatial models - temporal models - log-Gaussian Cox processes - geostatistical models Possible applications are found in: - longitudinal data analysis - time series analysis - disease mapping - spatial survival analysis - spatial association studies - point processes - interpolation of spatial data The course is intended for statisticians, epidemiologists, students and other researchers who want to model their data using LGMs. Basic knowledge of Bayesian statistics and generalized linear and additive models is recommended. More information on INLA can be found at http://www.r-inla.org/ Reference: Rue H, Martino S and Chopin N (2009). Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations (with discussion). Journal of the Royal Statistical Society, Series B, 71, 319–392 Practical information Organizers Jan van de Kassteele & Caroline Ameling National Institute for Public Health and the Environment – RIVM Date and time January 24, 2013. 9.00 – 17.00h. Location National Institute for Public Health and the Environment – RIVM, Bilthoven, the Netherlands. Fee 50 euro. Registration is required. Lunch and course material are included. Payment by invoice. Registration Registration is done by e-mailing [log in to unmask] Deadline for registration is January 18, 2013. 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: Thu, 6 Dec 2012 14:04:13 +0000 Reply-To: "Tudur-Smith, Catrin" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Tudur-Smith, Catrin" <[log in to unmask]> Subject: JOB: NIHR Research Methods Fellowship in Health Informatics Content-Type: multipart/alternative; boundary="_000_C158BA9E7C4D9F45B62FECA3860D8F2C23F7C2E0CHEXMBX1livadli_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_C158BA9E7C4D9F45B62FECA3860D8F2C23F7C2E0CHEXMBX1livadli_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable NIHR Research Methods Fellowship in Health Informatics £31,020 - £35,939 pa Faculty of Health and Life Sciences, Institute of Translational Medicine, University of Liverpool Location: Liverpool City Centre Ref: R-580289/WWW Closing date for receipt of applications: 9 January 2013 Applications are invited from highly-talented individuals for the post of National Institute for Health Research (NIHR) Research Methods Fellow in Health Informatics. The Fellowship will be based in the MRC North West Hub for Trials Methodology Research, Department of Biostatistics, and the Department of Women's and Children's Health. You will work closely with Professor Iain Buchan's team at the Northwest Institute for Bio-Health Informatics, University of Manchester and the Clinical Trials Research Centre, University of Liverpool. The fellowship will provide an excellent opportunity for you to undertake structured methodology training and gain research experience in health informatics within a supportive and vibrant research environment. The fellowship will provide an opportunity to: * Undertake generic training in health-related informatics and research methods with specific focus on the design and analysis of clinical trials * Undertake a research project in the area of health informatics applied to clinical trials * Contribute to the health informatics review process of the Clinical Trials Research Centre * Gain experience of supervising a 2-month NIHR Research Methods Internship * Be encouraged to further your research through a PhD and be supported to apply for a NIHR Doctoral Training Fellowship in the final year * Gain the skills and experience necessary for a career as an applied health informatician working in medical research You should have an MSc in Computer Science or a postgraduate degree with a strong computer science component. The post is available for 2 years. For full details, or to request an application pack, visit www.liv.ac.uk/working/job_vacancies/ or e-mail [log in to unmask], please quote Job Ref in all enquiries Dr Catrin Tudur Smith Senior Lecturer North West Hub for Trials Methodology Research Department of Biostatistics Shelley's Cottage University of Liverpool Liverpool L69 3GS You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_C158BA9E7C4D9F45B62FECA3860D8F2C23F7C2E0CHEXMBX1livadli_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

NIHR Research Methods Fellowship in Health Informatics

£31,020 - £35,939 pa

Faculty of Health and Life Sciences, Institute of Translational Medicine, University of Liverpool

Location: Liverpool City Centre

Ref: R-580289/WWW

Closing date for receipt of applications: 9 January 2013

Applications are invited from highly-talented individuals for the post of National Institute for Health Research (NIHR) Research Methods Fellow in Health Informatics. The Fellowship will be based in the MRC North West Hub for Trials Methodology Research, Department of Biostatistics, and the Department of Women’s and Children’s Health. You will work closely with Professor Iain Buchan’s team at the Northwest Institute for Bio-Health Informatics, University of Manchester and the Clinical Trials Research Centre, University of Liverpool. The fellowship will provide an excellent opportunity for you to undertake structured methodology training and gain research experience in health informatics within a supportive and vibrant research environment. The fellowship will provide an opportunity to:
 
• Undertake generic training in health-related informatics and research methods with specific focus on the design and analysis of clinical trials
• Undertake a research project in the area of health informatics applied to clinical trials
• Contribute to the health informatics review process of the Clinical Trials Research Centre
• Gain experience of supervising a 2-month NIHR Research Methods Internship
• Be encouraged to further your research through a PhD and be supported to apply for a NIHR Doctoral Training Fellowship in the final year
• Gain the skills and experience necessary for a career as an applied health informatician working in medical research

You should have an MSc in Computer Science or a postgraduate degree with a strong computer science component. The post is available for 2 years.

For full details, or to request an application pack, visit www.liv.ac.uk/working/job_vacancies/

or e-mail [log in to unmask], please quote Job Ref in all enquiries

 

 

Dr Catrin Tudur Smith

Senior Lecturer

North West Hub for Trials Methodology Research

Department of Biostatistics

Shelley’s Cottage

University of Liverpool

Liverpool

L69 3GS

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_C158BA9E7C4D9F45B62FECA3860D8F2C23F7C2E0CHEXMBX1livadli_-- ========================================================================Date: Thu, 6 Dec 2012 14:43:29 -0000 Reply-To: Moira Mugglestone <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Moira Mugglestone <[log in to unmask]> Subject: JOB: Research Assistant (Systematic Reviewer) at NCC-WCH, London MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----_=_NextPart_001_01CDD3C0.0E840EA5" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. ------_=_NextPart_001_01CDD3C0.0E840EA5 Content-Type: text/plain; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable National Collaborating Centre for Women's and Children's Health, London 1 Research Assistant post - 6 months fixed-term This is an opportunity for researchers who want to develop their systematic reviewing skills over a wide range of study designs in the context of developing NICE clinical guidelines. Directed by a senior member of the technical team the post holder will undertake critical appraisal and accurate data extraction. Experience of critical appraisal over a wide range of study designs is essential for this post. The National Collaborating Centre for Women's and Children's Health (NCC-WCH) is a friendly and enthusiastic health services research team based in Goodge Street in Central London. We develop professionally led, evidence-based clinical guidelines for NHS professionals who care for children, young people, women and their families. For more information about our current work programme please visit the NCC-WCH website at http://www.ncc-wch.org.uk . Interested applicants are welcome to call Wendy Riches (Executive Director) or Jiri Chard (Senior Research Fellow) on 020 7438 3010 for an informal discussion about the post. For further information about the post and an application pack please visit the NCC-WCH website. If you are interested in applying please send your completed application form to [log in to unmask] . The deadline for applications is 12 noon on Monday 17th December 2012. Interviews will be conducted on Thursday 3rd January 2013. ------------------------------------------------------------------------------------------------------------------- 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. Unless otherwise stated, any views or opinions expressed are solely those of the author and do not necessarily represent those of the National Collaborating Centre for Women’s & Children’s Health (NCC-WCH). If you are not the intended recipient of this email, 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. The NCC-WCH may monitor, analyse and archive email traffic, data and the content of email for the purposes of security, legal compliance and staff training. Web: www.ncc-wch.org.uk ------------------------------------------------------------------------------------------------------------------- You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------_=_NextPart_001_01CDD3C0.0E840EA5 Content-Type: text/html; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable

National Collaborating Centre for Women’s and Children’s Health, London

 

1 Research Assistant post – 6 months fixed-term 

 

This is an opportunity for researchers who want to develop their systematic reviewing skills over a wide range of study designs in the context of developing NICE clinical guidelines. Directed by a senior member of the technical team the post holder will undertake critical appraisal and accurate data extraction. Experience of critical appraisal over a wide range of study designs is essential for this post.

 

The National Collaborating Centre for Women’s and Children’s Health (NCC-WCH) is a friendly and enthusiastic health services research team based in Goodge Street in Central London. We develop professionally led, evidence-based clinical guidelines for NHS professionals who care for children, young people, women and their families.

 

For more information about our current work programme please visit the NCC-WCH website at http://www.ncc-wch.org.uk.

 

Interested applicants are welcome to call Wendy Riches (Executive Director) or Jiri Chard  (Senior Research Fellow) on 020 7438 3010 for an informal discussion about the post. For further information about the post and an application pack please visit the NCC-WCH website. If you are interested in applying please send your completed application form to [log in to unmask].

 

The deadline for applications is 12 noon on Monday 17th December 2012.

 

Interviews will be conducted on Thursday 3rd January 2013.

 


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. Unless otherwise stated, any views or opinions expressed are solely those of the author and do not necessarily represent those of the National Collaborating Centre for Women's & Children's Health (NCC-WCH).

If you are not the intended recipient of this email, 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.

The NCC-WCH may monitor, analyse and archive email traffic, data and the content of email for the purposes of security, legal compliance and staff training.

Web: www.ncc-wch.org.uk

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------_=_NextPart_001_01CDD3C0.0E840EA5-- ========================================================================Date: Thu, 6 Dec 2012 20:43:12 +0100 Reply-To: Werner Vach <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Werner Vach <[log in to unmask]> Subject: ONLINE COURSE: Regression Models as a Tool in Medical Research MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-15; format=flowed Content-Transfer-Encoding: 7bit Message-ID: <[log in to unmask]> Hereby I would like to point your attention to the web based distance learning course *"Regression Models as a Tool in Medical Research"* The target group for this course are PhD students and other (young) researchers from the health sciences and related fields, who work with regression models in their own research or need to understand the typical use of regression models in the medical literature. For further information please visit https://www.isqr.uni-freiburg.de/regression-models-as-a-tool-in-medical-research-2013 I would highly appreciate if you can distribute this announcement among potential participants. On behalf of the International School of Quantitative Research Werner Vach -- Werner Vach, professor Clinical Epidemiology Group Institute of Medical Biometry and Medical Informatics University Medical Center Freiburg Stefan-Meier-Str. 26, D-79104 Freiburg, Germany Phone: +49 761 203 6722 email: [log in to unmask] 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: Fri, 7 Dec 2012 16:41:10 +0800 Reply-To: tshmak <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: tshmak <[log in to unmask]> Subject: QUERY: Ordinary least square prediction (ANCOVA?) Content-Type: multipart/alternative; boundary="_000_2C66AD21E583E043A03B93A867E40C9019A99FB9mail7hkucccomhk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_2C66AD21E583E043A03B93A867E40C9019A99FB9mail7hkucccomhk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear allstat, From simple probability, we can see that: E(Y|X1) = Sum_over_X2 p(X2|X1) E(Y|X2,X1) My feeling is that there is an equivalent of this equality in ordinary least square regression: hat1_Y = Sum_over_X2 p(X2|X1) hat12_Y where hat1_Y is the prediction of Y using X1 as the independent variables, and hat12_Y is the prediction of Y using X1 and X2 as the variables (where X1 and X2 can be multivariate), and p(X2|X1) is the empirical distribution of X2 given X1. I guess the above doesn't make sense unless X1 is categorical. Is this correct? If so, can someone point me to a reference where this is proved? Is this related to the ANCOVA literature? Thanks in advance, Tim Mak You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_2C66AD21E583E043A03B93A867E40C9019A99FB9mail7hkucccomhk_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear allstat,

 

From simple probability, we can see that:

 

E(Y|X1) = Sum_over_X2 p(X2|X1) E(Y|X2,X1)

 

My feeling is that there is an equivalent of this equality in ordinary least square regression:

 

hat1_Y = Sum_over_X2 p(X2|X1) hat12_Y

 

where hat1_Y is the prediction of Y using X1 as the independent variables, and hat12_Y is the prediction of Y using X1 and X2 as the variables (where X1 and X2 can be multivariate), and p(X2|X1) is the empirical distribution of X2 given X1.

 

I guess the above doesn't make sense unless X1 is categorical.

 

Is this correct? If so, can someone point me to a reference where this is proved?

Is this related to the ANCOVA literature?

 

Thanks in advance,

 

Tim Mak

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_2C66AD21E583E043A03B93A867E40C9019A99FB9mail7hkucccomhk_-- ========================================================================Date: Fri, 7 Dec 2012 09:57:26 +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: Biostatistician- London Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE6528HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE6528HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBwZXJtYW5lbnQgQmlv c3RhdGlzdGljaWFuIHZhY2FuY3kgZm9yIHRoZSBVSyBhbmQgYSBicmllZiBqb2IgZGVzY3JpcHRp b24gd29ya2luZyB3aXRoIGEgcGhhcm1hY2V1dGljYWwgY2xpZW50LgoKQklPU1RBVElTVElDSUFO 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IEV1c3RvbiBSb2FkLCBMb25kb24gTlcxIDJBRi48YnI+KioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqPC9QPjwvYm9keT4K PC9odG1sPgoNCllvdSBtYXkgbGVhdmUgdGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0 aGUgY29tbWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1h aWx0bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+ LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_865C735EC628874680AFDB5D6931883A011DE96AHRMWSXS1478emea_-- ========================================================================Date: Fri, 7 Dec 2012 10:20:58 +0000 Reply-To: Fiona Steele <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Fiona Steele <[log in to unmask]> Subject: REMINDER: RSS Avon local group meeting on 10 December, Bristol MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Content-Disposition: inline Message-ID: <[log in to unmask]> The next meeting of the Avon group of the Royal Statistical Society will be on Monday 10 December and will feature two presentations on medical statistics. - "Using Genome-wide allelic scores in Data Mining and Mendelian Randomization Studies", Dave Evans (MRC Centre for Causal Analyses in Translational Epidemiology) - "The smoking donor - hazard or benefit to the potential lung transplant recipient?", Rhiannon Taylor (NHS Blood and Transplant) The meeting will be held in room LG08, Canynge Hall, 39 Whatley Road (off Whiteladies Road) at the University of Bristol. The talks will start at 5pm and end at 6pm, with tea/coffee available from 4.30pm. Abstracts and a map can be found at The meeting is free and open to all. There is no need to register. 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: Fri, 7 Dec 2012 10:29:30 +0000 Reply-To: Colin Aitken <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Colin Aitken <[log in to unmask]> Organization: The University of Edinburgh Subject: Postdoctoral fellowships - University of Edinburgh MIME-Version: 1.0 Content-Type: text/plain; charset=windows-1252; format=flowed Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> The School of Mathematics at The University of Edinburgh wishes to appoint up to five WHITTAKER RESEARCH FELLOWS in the following areas: Statistics, Operational Research, Pure Mathematics, Applied Mathematics. The fellowships are fixed term contracts for two years. We are seeking outstanding candidates who will enhance the current strengths of the School, connect existing areas of expertise within the School, and/or pursue statistical or mathematical connections with application areas. Successful candidates will demonstrate a strong independent research programme and will be committed to teaching. As women are currently under-represented in the School of Mathematics, we particularly encourage suitably qualified female applicants. Please include with your application - a CV with publication list - a five word descriptor of your research area - outline of proposed research programme In addition, please arrange for three referees to send letters of recommendation directly to [log in to unmask], fax +44 (0)131 650 6553 by the closing date of 22 January 2013. Interviews will be held in the week commencing 11th February 2013 and you must be willing to take up the position on or before 1st September 2013. Job Purpose: To undertake independent research in line with the School’s research strategy and to contribute to undergraduate and postgraduate teaching. Main Responsibilities (Approx. % of time): 1. To undertake world leading research in the discipline (85%) 2. Contribute to teaching programmes within the discipline (10%) 3. To undertake development training as necessary (5%) Essential requirements - PhD in Statistics, Mathematics or a related discipline - Evidence of high quality research outputs - Willingness to undertake teaching duties and training therein Further details are available at https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.display_form Informal enquiries from statistical applicants can be made to Colin Aitken. -- Professor Colin Aitken, Professor of Forensic Statistics, School of Mathematics, University of Edinburgh, Mayfield Road, Edinburgh, EH9 3JZ. 0131 650 4877; [log in to unmask] http://www.maths.ed.ac.uk/~cgga The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. 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: Fri, 7 Dec 2012 11:09:07 +0000 Reply-To: Colin Aitken <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Colin Aitken <[log in to unmask]> Organization: The University of Edinburgh Subject: Postdoctoral fellowships - University of Edinburgh - correction MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> A couple of flaws in my announcement have been pointed out to me. First, I did not mention the salary in the covering text. The role is grade UE07 and attracts an annual salary of £30,122 to £35,938. Second, the link did not work. In mitigation, it worked yesterday! Please try www.maths.ed.ac.uk and then click on the notice on the right-hand-side of the page. This should work. With apologies, Colin Aitken -- Professor Colin Aitken, Professor of Forensic Statistics, School of Mathematics, University of Edinburgh, Mayfield Road, Edinburgh, EH9 3JZ. 0131 650 4877; [log in to unmask] http://www.maths.ed.ac.uk/~cgga The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. 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, 10 Dec 2012 15:07:10 +1100 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: David Clifford <[log in to unmask]> Subject: JOB: Postdoctoral Fellow - Hierarchical Bayesian Modelling of Global Soil Properties Content-Type: multipart/alternative; boundary="_000_27CDE7124B2936429F279F96320D7173811EECC1A1EXNSWMBX02nex_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_27CDE7124B2936429F279F96320D7173811EECC1A1EXNSWMBX02nex_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable A postdoctoral fellow position exists within CSIRO Mathematics, Informatics and Statistics in Australia. In this Postdoctoral Fellow role, you will be working with scientists from the CSIRO Sustainable Agriculture Flagship to model and map soil attributes nationally as part of the Global Soil Map project (www.globalsoilmap.net). Our primary output, the Soil and Landscape Grid of Australia, is an essential piece of national information infrastructure that will directly impact on Australia's capacity to deal with complex land management challenges. The size of the project and the variety of data available to us make this an area rich in computational and methodological research challenges which will provide you with rewarding postdoctoral experience. We seek individuals with a PhD (or soon to complete a PhD) in a relevant discipline such as statistics, biostatistics or mathematics with strong experience in Bayesian modelling; Location: Brisbane, Australia Salary: AU$78K - AU$85K per annum plus up to 15.4% superannuation Tenure: 3 year term Interested candidates can apply through http://csiro.nga.net.au/?jati=13998c1f-301c-e6c9-2584-6e3d6ec2e25c Closing date for applications is the 20th of January 2013. Any queries regarding this position can be directed to Dr David Clifford ([log in to unmask]) This Postdoctoral position will sit within the Environmetrics, Biometrics, and Bioinformatics Research Group in CSIRO Mathematics, Informatics and Statistics. This Research Group aims to be international leaders in the development and application of innovative statistical and quantitative methodologies for managing the risks associated with the use and protection of Australia's marine, aquatic and terrestrial natural resources, while enabling sustainable economic development and improving agricultural productivity. The Group is unified by its core capability in statistical science and is the largest group of environmental and agricultural statisticians in Australia. Apologies for cross-posting of this job ad. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_27CDE7124B2936429F279F96320D7173811EECC1A1EXNSWMBX02nex_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

A postdoctoral fellow position exists within CSIRO Mathematics, Informatics and Statistics in Australia.

 

In this Postdoctoral Fellow role, you will be working with scientists from the CSIRO Sustainable Agriculture Flagship to model and map soil attributes nationally as part of the Global Soil Map project (www.globalsoilmap.net). Our primary output, the Soil and Landscape Grid of Australia, is an essential piece of national information infrastructure that will directly impact on Australia’s capacity to deal with complex land management challenges. The size of the project and the variety of data available to us make this an area rich in computational and methodological research challenges which will provide you with rewarding postdoctoral experience.

 

We seek individuals with a PhD (or soon to complete a PhD) in a relevant discipline such as statistics, biostatistics or mathematics with strong experience in Bayesian modelling;

 

Location:   Brisbane, Australia

Salary:     AU$78K - AU$85K per annum plus up to 15.4% superannuation

Tenure:     3 year term

 

Interested candidates can apply through http://csiro.nga.net.au/?jati=13998c1f-301c-e6c9-2584-6e3d6ec2e25c

 

Closing date for applications is the 20th of January 2013. Any queries regarding this position can be directed to Dr David Clifford ([log in to unmask])

 

This Postdoctoral position will sit within the Environmetrics, Biometrics, and Bioinformatics Research Group in CSIRO Mathematics, Informatics and Statistics. This Research Group aims to be international leaders in the development and application of innovative statistical and quantitative methodologies for managing the risks associated with the use and protection of Australia's marine, aquatic and terrestrial natural resources, while enabling sustainable economic development and improving agricultural productivity. The Group is unified by its core capability in statistical science and is the largest group of environmental and agricultural statisticians in Australia.

 

Apologies for cross-posting of this job ad.

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_27CDE7124B2936429F279F96320D7173811EECC1A1EXNSWMBX02nex_-- ========================================================================Date: Mon, 10 Dec 2012 07:38:06 +0000 Reply-To: FRANCISCO RAMIREZ JIMENEZ <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: FRANCISCO RAMIREZ JIMENEZ <[log in to unmask]> Subject: standard deviation with a sample size 2 MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="826396705-289541210-1355125086=:25656" Message-ID: <[log in to unmask]> --826396705-289541210-1355125086=:25656 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Hi, I have been told recently by a couple of  scientists that referees came You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --826396705-289541210-1355125086=:25656 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable

Hi,
 
I have been told recently by a couple of  scientists that referees came
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --826396705-289541210-1355125086=:25656-- ========================================================================Date: Mon, 10 Dec 2012 09:59:20 +0000 Reply-To: Aimee Houlton <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Aimee Houlton <[log in to unmask]> Subject: Medical Statistician (Fixed-term) University of Nottingham Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> School of Clinical Sciences - Division of Stroke Medical Statistician (Fixed-term) £24,520 – £26,779 per annum, depending on skills & experience. Salary progression beyond this range is subject to performance The Division of Stroke requires a medical statistician to perform a PhD and support Divisional trials, with other statisticians, such as ENOS (see: www.enos.ac.uk), TARDIS (www.tardistrial.org/), PODCAST (www.podcast-trial.org/) and TICH-2. There will be the opportunity to collaborate in methodological research and study design, as well as supporting other researchers within the Division with their statistical analyses. The successful candidate will play an important role in the departments’ research activities, including the design of trials, oversight of trial processes, analysing and reporting of trials, and meta analyses. There will be the opportunity to attend UK and international conferences. Candidates will be expected to register for a PhD/MPhil. Motivated by real clinical trial data, the PhD/MPhil project would involve the exploration, development and implementation of appropriate statistical methods for analysing stroke, vascular and cognitive trials. This post is open to candidates with a degree in statistics (or equivalent), and ideally a higher degree in medical statistics, or a related subject (or equivalent). Candidates must be able to demonstrate good communication and teamwork skills, excellent presentation skills, proven statistical and computing skills, the ability to communicate statistical issues to non-statisticians and have an aptitude for both applied and methodological research. This full time post will be offered for an indefinite period however the funding that supports this post is available for three years from date of commencement. Some out of hours work and travel within the UK may be required. Informal enquiries may be addressed to Professor Philip Bath, tel: 0115 823 1765 or email: [log in to unmask] Please note that applications sent directly to this email address will not be accepted. For more details and/or to apply on-line please access: http://www.nottingham.ac.uk/Jobs/CurrentVacancies/ref/MED09885 If you are unable to apply on-line please contact the Human Resources Department, tel: 0115 846 6172. Please quote ref. MED/09885 Closing date: 14 January 2013 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, 10 Dec 2012 10:27:26 +0000 Reply-To: "Dhamija, Deepshikha" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Dhamija, Deepshikha" <[log in to unmask]> Subject: **HAYSLIFESCIENCES VACANCIES- Biometrics- Permanent- Switzerland** Content-Type: multipart/alternative; boundary="_000_D8D661FE9B462C42B06C3F1A6EEDB69A96D8FDD0HRMWSXS1477emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_D8D661FE9B462C42B06C3F1A6EEDB69A96D8FDD0HRMWSXS1477emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKSGF5c2xpZmVzY2llbmNlcyBoYXMgTXVsdGlwbGUgUGVybWFuZW50ICBC 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YnI+KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqPC9QPjwvYm9keT4KPC9odG1sPgoNCllvdSBtYXkgbGVhdmUgdGhlIGxp c3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUgY29tbWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0 YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+ bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxh bmsuDQo--_000_D8D661FE9B462C42B06C3F1A6EEDB69A96D8FDD0HRMWSXS1477emea_-- ========================================================================Date: Mon, 10 Dec 2012 10:45:52 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Contract SAS Programmer | CDISC Standards | London, UK | =?iso-8859-1?Q?£45-£50_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F06923A0EADmsx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F06923A0EADmsx1s2berdlpl_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665 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. This company is well-known for their attractive working environment and are offering a rate upwards of £45. Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour 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 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 SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A0EADmsx1s2berdlpl_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665


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. This company is well-known for their attractive working environment and are offering a rate upwards of £45.



Contract SAS Programmer | CDISC Standards | London, UK | £45-£50 per hour




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 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

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A0EADmsx1s2berdlpl_-- ========================================================================Date: Mon, 10 Dec 2012 11:03:16 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: Contract Statistician 6 Months (Flexibile homeworking) Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011DED02HRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011DED02HRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 CkRlYXIgQWxsc3RhdCwKCkkgaG9wZSB5b3UgYWxsIGhhZCBhIGdvb2Qgd2Vla2VuZCwgcGxlYXNl IGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBjb250cmFjdCBCaW9zdGF0aXN0aWNpYW4gdmFjYW5jeSBm 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IDJBRi48YnI+KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqKioqKioqPC9QPjwvYm9keT4KPC9odG1sPgoNCllvdSBtYXkgbGVhdmUg dGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUgY29tbWFuZA0KPHA+DQpTSUdOT0ZG IGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0bzpsaXN0c2VydkBqaXNjbWFpbC5h Yy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxp bmUgYmxhbmsuDQo--_000_865C735EC628874680AFDB5D6931883A011DED02HRMWSXS1478emea_-- ========================================================================Date: Mon, 10 Dec 2012 11:05:22 +0000 Reply-To: Jochen Voss <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jochen Voss <[log in to unmask]> Subject: LASR 2013 - call for abstracts MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1 Content-Disposition: inline Content-Transfer-Encoding: 8bit Message-ID: <[log in to unmask]> LASR 2013 Statistical Models and Methods for non-Euclidean Data with Current Scientific Applications Leeds, UK 2nd - 4th July 2013 Call for Abstracts The Leeds Annual Statistical Research (LASR) workshop 2013 will focus on non-standard statistical models motivated by novel applications; the models include multivariate skew distributions, distributions on manifolds such as circle, torus, shape spaces, rotation matrices. This is the first International Workshop dedicated solely on such a timely theme. We are inviting abstracts from anyone wishing to give a contributed presentation at this workshop. Abstracts should be one or two paragraphs in length, outlining the work that you would like to present. Please indicate whether you would prefer to present your work as a short talk or as a poster presentation. The deadline for abstract submission is Thursday, 28 February 2013. We are pleased to announce that the following leading scientists are expected to speak at LASR 2013: Adelchi Azzalini (Università di Padova) Fred Bookstein (Universities of Vienna and Washington) Walter Gilks (University of Leeds, Rothamsted Research) Thomas Hamelryck (University of Copenhagen) Michael Hastings (MRC Laboratory of Molecular Biology, Cambridge) Chris Jones (Open University) John Kent (University of Leeds) Cristina Rueda (Universidad de Valladolid) Andy Wood (University of Nottingham) For more details, please see the workshop web page http://www1.maths.leeds.ac.uk/statistics/workshop/lasr2013/ Best wishes, Kanti Mardia, Arief Gusnanto, Jochen Voss -- Department of Statistics, University of Leeds, Leeds LS2 9JT http://www1.maths.leeds.ac.uk/statistics/workshop/lasr2013/ 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, 10 Dec 2012 13:43:29 +0000 Reply-To: Allan Tucker <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Allan Tucker <[log in to unmask]> Subject: Intelligent Data Analysis 2013, London UK - Call for Papers Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> * * * * * * * * * * * * * * * * * * * * * * * * * * * * CALL FOR PAPERS The Twelfth International Symposium on Intelligent Data Analysis (IDA 2013) October 17-19, 2013, London, England http://ida2013.org * * * * * * * * * * * * * * * * * * * * * * * * * * * * FOCUS When the IDA symposium series started in 1995, it focussed on the problem of end-to-end intelligent support for data analysis. In 2010, the IDA symposium re-focussed to support papers that go beyond established technology and offer genuinely novel and "game-changing" ideas, whilst not always being as fully realised as papers submitted to other conferences. IDA 2013 continues this approach and seeks "first look" papers that might elsewhere be considered preliminary but contain potentially high impact research. The IDA symposium, which is A-ranked according to ERA, is open to all kinds of modelling and analysis methods, irrespective of discipline. It is expected to be an interdisciplinary meeting that seeks abstractions that cut across domains. FRONTIER PRIZE In line with the theme of IDA, the IDA Frontier Prize will be awarded to the most visionary contribution. Submissions considered for this award must present novel and surprising approaches to data analysis. Last years winners can be found at http://ida2013.org. The award consists of a plaque and a prize of 1000 Euros. CALL FOR PAPERS IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems. IDA 2013 particularly encourages papers about: - Novel applications of IDA techniques to complex systems - Novel modes of data acquisition and integration - Robustness and scalability issues of intelligent data analysis techniques - Visualization and dissemination of results Intelligent support for data analysis goes beyond the usual algorithmic offerings in the literature. Papers about established technology should offer novel ways to analyzing and/or modelling complex systems to get accepted. The conventional reviewing process, which favours incremental advances on established work, can discourage the kinds of papers that IDA 2013 hopes to publish. The reviewing process will address this issue explicitly: referees will evaluate papers against the stated goals of the symposium, and any paper for which at least one program chair advisor writes an informed, thoughtful, positive review will be accepted irrespective of other reviews. The proceedings of IDA 2013 will appear in Springer's Lecture Notes in Computer Science (LNCS) series. For more details on submission and review process, see the IDA webpage at http://ida2013.org or contact the program chairs. News and updates will be posted on the IDA Twitter account @ida_news. IMPORTANT DATES Deadline for submissions: 6th May, 2013 Author notification: 8th July, 2013 Camera-ready papers due: 5th August, 2013 Conference dates: 17-19 October, 2013 ORGANIZATION General Chair: Allan Tucker, Brunel University, UK Local Chair: Stephen Swift, Brunel University, UK Program Chairs: Frank Hoppner, Ostfalia University of Applied Sciences, Germany Arno Siebes, University of Utrecht, The Netherlands Poster Chair: Matthijs van Leeuwen, KU Leuven, Belgium Frontier Prize Chairs: Jaakko Hollmen, Aalto University, Finland Frank Klawonn, Ostfalia University of Applied Sciences, Germany Advisory Chairs: Xiaohui Liu, Brunel University, UK Hannu Toivonen, University of Helsinki, Finland 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, 10 Dec 2012 14:52:13 -0000 Reply-To: Kevin Kane <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kevin Kane <[log in to unmask]> Organization: PHASTAR Subject: SAS Programmers MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_00A7_01CDD6E5.F1084BC0" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_00A7_01CDD6E5.F1084BC0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit PHASTAR is a specialist biostatistical and programming consultancy works working for major pharmaceutical companies and biotechs in the UK, Europe and the States offering statistical consultancy and clinical trial reporting services. Our work is challenging and stimulating, with the opportunity to input into methodological research. We are looking to employ on a permanent or contract basis a SAS programmer with extensive clinical trial reporting experience to work either in our offices in West London or to be based in Hertfordshire. Experience in R and S+ would be useful, and knowledge of CDISC would also help. Please get in touch with Stewart Ellison ([log in to unmask]) on 0207 183 7062 for more information or to apply for this position, You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_00A7_01CDD6E5.F1084BC0 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

PHASTAR is a specialist biostatistical and programming consultancy works working for major pharmaceutical companies and biotechs in the UK, Europe and the States offering statistical consultancy and clinical trial reporting services.  Our work is challenging and stimulating, with the opportunity to input into methodological research. 

 

We are looking to employ on a permanent or contract basis a SAS programmer with extensive clinical trial reporting experience to work either in our offices in West London or to be based in Hertfordshire. Experience in R and S+ would be useful, and knowledge of CDISC would also help.

 

Please get in touch with Stewart Ellison ([log in to unmask]) on 0207 183 7062 for more information or to apply for this position,

 

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_00A7_01CDD6E5.F1084BC0-- ========================================================================Date: Mon, 10 Dec 2012 14:58:51 +0000 Reply-To: "Francis, Brian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Francis, Brian" <[log in to unmask]> Subject: JOB: Professor in Statistics - Lancaster University, UK Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Chair in Statistics Lancaster University, Department of Mathematics & Statistics Salary: Professorial (minimum £59,078) Closing Date:   Thursday, 31 January 2013 Interview Date:   Friday, 1 March 2013 Reference:  A577 This new post, commencing 1 September 2013 or as soon as possible thereafter, is part of a continuing expansion of the Department which this year is also seeking to fill a Lectureship in Statistics and two Lectureships in Pure Mathematics, following the appointment of a Reader and two Lecturers in Statistics and a Professor and two Lecturers in Pure Mathematics last year. Lancaster University has one of the largest and strongest statistics research groups in the UK comprising 21 academic staff, 7 research associates and 39 FTE research students. In the 2008 RAE, 60% of Lancaster's Statistics and OR outputs were graded as 3* or 4*.  The statistics group takes a leading role in the development of statistical methodology such as Markov chain Monte Carlo, particle filtering, extreme value theory, wavelets, the analysis of longitudinal and spatial data and mixture models. Application interests include industry, medicine, clinical trials and the social sciences, including criminology. In collaboration with the Department of Management Science, we host STOR-i, one of only three EPSRC-funded Doctoral Training Centres in the Mathematical Sciences. The STOR-i DTC funds at least 10 PhD students each year within Statistics and Operational Research, and has an emphasis on collaborative research with manufacturing, energy and financial companies. The wavelets research group also has strong industrial links that have led to the funding of two Research Associates.  The Medical and Pharmaceutical Statistics Research Unit collaborates with the pharmaceutical industry and is part of the MRC-funded North West Hub for Trial Methodology Research. With researchers in the Faculty of Health and Medicine, the Department plays a leading role in developing and applying methods of spatial epidemiology.  The Department is part of the ESRC-funded North West Doctoral Training Centre for Social Science together with the Universities of Liverpool and Manchester, and is involved in applying statistics to criminology, forensic science and health. The Department has a thriving programme of teaching statistics to students from a variety of backgrounds.  Undergraduate numbers on our mathematics degrees have risen from around 90 to 150 over the last five years, while entry grades have also increased.  Our MSc course in Statistics attracts over 20 students each year, as well as funding from the NIHR, MRC and EPSRC.  We also teach an MSc programme in Quantitative Methods and contribute to one on Quantitative Finance, as well as providing courses in statistics for other departments.  The Department presents short specialist courses in advanced statistical methods, some of which attract participants from throughout the UK and Europe, provides an advisory service for all researchers on campus, and engages in consulting with industry and public bodies. You may have research interests in any area of statistics, but a proven record of attracting research funding and research studentships is required.  Appointments that strengthen our existing statistics research groups or lead to the establishment of similar groups with other methodological interests or to collaborations in other application areas are sought.  We also seek people who will be capable and enthusiastic supervisors of our growing body of research students and contributors to the Department's teaching programme.  Informal enquiries can be made to: Professor John Whitehead, [log in to unmask]   General information about the Department can be found at:  http://www.maths.lancs.ac.uk 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, 10 Dec 2012 10:03:20 -0500 Reply-To: Geoffrey Hubona <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Geoffrey Hubona <[log in to unmask]> Subject: Online R Courses 24/7: $195-$245 MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae9340681b899ba04d080ddb2 Message-ID: <[log in to unmask]> --14dae9340681b899ba04d080ddb2 Content-Type: text/plain; charset=ISO-8859-1 Non-Profit Georgia R School. Ten Separate Online R Courses: $195-$245. Available 24/7: Fundamentals, Programming, Simulation, Data Mining, Multivariate Stats, Graphics, more . . . see: http://shop.georgia-r-school.org and Access actual sessions for each course, with no questions, no email, no credit card. Questions to [log in to unmask] Geoff Hubona You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae9340681b899ba04d080ddb2 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Non-Profit Georgia R School.
Ten Separate Online R Courses: $195-$245.
Available 24/7: Fundamentals, Programming,
Simulation, Data Mining, Multivariate Stats,
Graphics, more . . . see:
http://shop.georgia-r-school.org and
Access actual sessions for each course,
with no questions, no email, no credit card.
 
Questions to [log in to unmask]
 
Geoff Hubona
 
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --14dae9340681b899ba04d080ddb2-- ========================================================================Date: Mon, 10 Dec 2012 15:04:19 +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: Biostatistican needed for global pharmaceutical company. Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE6D82HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE6D82HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKUGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBwZXJtYW5lbnQgQmlv c3RhdGlzdGljaWFuIHZhY2FuY3kgZm9yIHRoZSBVSyBhbmQgYSBicmllZiBqb2IgZGVzY3JpcHRp b24gd29ya2luZyB3aXRoIGEgcGhhcm1hY2V1dGljYWwgY2xpZW50LgoKQklPU1RBVElTVElDSUFO CkxPTkRPTiBCQVNFRAoKUm9sZQpXZSBjdXJyZW50bHkgaGF2ZSBhbiBvcHBvcnR1bml0eSBmb3Ig YW4gZXhwZXJpZW5jZWQgc3R1ZHkgYmlvc3RhdGlzdGljaWFuIHdpdGggYSBwaGFybWFjZXV0aWNh bCBjbGllbnQuIFJlc3BvbnNpYmlsaXRpZXMgaW52b2x2ZSBjby1vcmRpbmF0aW5nIHRoZSBkZXNp Z24sIHN0YXRpc3RpY2FsIGFuYWx5c2lzIGFuZCByZXBvcnRpbmcgb2YgaW5kaXZpZHVhbCBzdHVk aWVzLCBpbiBhZGRpdGlvbiB0byBwcm92aWRpbmcgc3RhdGlzdGljYWwgaW5wdXQgZm9yIHB1Ymxp 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YXlzIHBsY+KAmXMgcmVnaXN0ZXJlZCBvZmZpY2UgaXMgYXQgMjUwIEV1c3RvbiBSb2FkLCBMb25k b24gTlcxIDJBRi48YnI+KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqKioqKioqKioqKioqPC9QPjwvYm9keT4KPC9odG1sPgoNCllvdSBtYXkg bGVhdmUgdGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUgY29tbWFuZA0KPHA+DQpT SUdOT0ZGIGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0bzpsaXN0c2VydkBqaXNj bWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJq ZWN0IGxpbmUgYmxhbmsuDQo--_000_92E7DB5F663712419ABCF81571D7F419CE6D82HRMWSXS1478emeaha_-- ========================================================================Date: Mon, 10 Dec 2012 16:01:58 +0000 Reply-To: Antonio Pievatolo <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Antonio Pievatolo <[log in to unmask]> Subject: WORKSHOP: BISP8, last call for abstracts Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> BISP8: The eighth workshop on Bayesian Inference in Stochastic Processes will take place at CNR IMATI in Milano, Italy, on 6-8 June 2013. We would like to remind those interested in contributing a presentation or a poster to BISP8 that they can send a title and an abstract by e-mail to [log in to unmask] until 21 December 2012. The conference web page is http://www.mi.imati.cnr.it/conferences/BISP8/ Instructions on abstract submission are available at http://www.mi.imati.cnr.it/conferences/BISP8/submission.html Decision on acceptance will be notified by 15 January 2013. A provisional programme and a list of invited speakers are available, including titles and abstracts of their talks. A guided tour of Pinacoteca di Brera, one of the most important art museums in Italy, is under planning, along with a dinner in a typical restaurant. The workshop is organised by CNR IMATI, in cooperation with George Washington University, and it is endorsed by ISBA (International Society for Bayesian Analysis) and SIS (Italian Statistical Society). BAYSM, a meeting of young statisticians will precede BISP on 5-6 June in the same place. See the web page for details: http://www.mi.imati.cnr.it/conferences/BAYSM2013/ Best regards Antonio Pievatolo and Fabrizio Ruggeri Chairs, BISP8 Organising and Scientific Committees 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, 10 Dec 2012 16:10:32 +0000 Reply-To: Chris Stride <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chris Stride <[log in to unmask]> Subject: Quantitative Methods training courses - Multilevel/SEM/LGM - London - Jan 2013 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Final reminder of a series of one-day statistical methods training courses in January 2013, to be held at City University, London, UK 4/1/2013 now sold out - between 2 and 5 places left for each other day so booking in the next few days strongly advised…. Thursday 3rd January 2013: 'Introduction to Multilevel Modelling using SPSS' Friday 4th January 2013: 'Structural Equation Modelling using Mplus' (SOLD OUT) with each course repeated on: Monday 7th January 2013: 'Introduction to Multilevel Modelling using SPSS' Tuesday 8th January 2013: 'Structural Equation Modelling using Mplus' Full details of the content, timings etc for each course, testimonials from past attendees, venue location directions and booking forms are now available at http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm The price for each course is £250, with a student rate of £175; A further reduction of £50 is available to anyone booking on to two courses. We are also running an additional one-day add-on course covering Latent Growth Curve Modelling in Mplus, on Wednesday 9th January. Venue will be in central London but is yet to be confirmed. For this course delegates will need to bring their own laptop with a full version of Mplus installed on it. The price for this course is £200, with a student rate of £150. If London is too far to travel and there are a number of people from your organisation looking for such training, note that these courses and further courses on using the SPSS syntax language and on Multiple Regression are also available on an inhouse basis in the UK, Europe and Worldwide (we 'did' Australia last year so nowhere is too far!); see http://www.figureitout.org.uk for details of our inhouse and bespoke training. 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, 10 Dec 2012 16:16:10 +0000 Reply-To: Irene Petersen <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Irene Petersen <[log in to unmask]> Subject: PhD opportunities in epidemiology and statistics at UCL MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="------------050304070705030901030704" Message-ID: <[log in to unmask]> --------------050304070705030901030704 Content-Type: text/plain; charset="ISO-8859-1"; format=flowed Content-Transfer-Encoding: 7bit If you are considering to apply for a PhD in epidemiology or statistics then you may find one of the projects below interesting? We are a large team of epidemiologists, statisticians and clinical specialists working on a range of projects based on data from large electronic health records such as The Health Improvement Network (THIN) primary care database. ** *Risk of thromboembolic events in people prescribed Glucocorticoids (steroids)* Glucocorticoids are used widely in treatment of asthma, COPD and Lower respiratory tract infection. However, it has been shown that some people who are prescribed steroids (glucocorticoids) have a two- to three-fold higher risk of coronary heart disease, myocardial infarction or stroke. Yet it is still unknown whether people prescribed steroids are also at higher risk of thromboembolic events.** In this PhD projects we will identify examine and risk factors for thromboembolic events in people treated with Glucocoticoids. The project will also involve a systematic review on the topic. *Risks and benefits of prescribed medication in pregnancy* Many women of child bearing age are prescribed medication for various conditions. However, many women discontinue this medication when they plan pregnancy or become aware that they are pregnant. In this PhD project we will examine the risks and benefits of specific prescribed medication in pregnancy both in terms of the mothers and child health. *Child and adolescent mental health* Depression, selfharm, sleeping disorders and eating disorders are common mental health problems for many children and adolescents. In this PhD project we will examine how often these problems are recognized in primary care and how they are associated with parental mental health. *Missing data in longitudinal electronic health records* Missing data is often an issue in epidemiological studies. In this PhD project we will further examine how to deal with missing health indicator data in longitudinal electronic health records. We will examine how multiple imputation methods of missing data can be applied in studies of risk factors for chronic diseases. *Cardiovascular medications in primary care* Medicines to treat or prevent cardiovascular diseases are often prescribed in primary care and there are guidelines to who should receive these medications. In this PhD project we will examine factors associated with prescription of cardiovascular medications and evaluate methods to examine the effectiveness of these medication in real life settings and in populations that are often excluded in randomized controlled trials. All studentships listed above will suit candidates with a background in epidemiology and/or statistics and good numerical skills. However, training will be provided in analysis and management of large clinical databases. The students will be based within a multidisciplinary team of epidemiologists, statisticians and clinical specialists and usually the supervisory team will include both senior epidemiologists/statisticians and clinical specialists. Current supervisors include Dr Irene Petersen, Professor Irwin Nazareth, Dr Kate Walters, Dr David Osborn, Professor James Carpenter, Professor Ruth Gilbert. For further information about specific funding rounds (current deadline 7 January 2013) and information about THIN please see http://www.ucl.ac.uk/pcph/postgrad/studentship http://www.ucl.ac.uk/pcph/research-groups-themes/thin-pub Please also feel free to e-mail: [log in to unmask] ** -- Irene Petersen, PhD UCL Department of Primary Care and Population Health Rowland Hill St London NW3 2PF Phone 020 7794 0500 exn. 34395 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --------------050304070705030901030704 Content-Type: text/html; charset="ISO-8859-1" Content-Transfer-Encoding: 7bit If you are considering to apply for a PhD in epidemiology or statistics then you may find one of the projects below interesting?

We are a large team of epidemiologists, statisticians and clinical specialists working on a range of projects based on data from  large electronic health records such as The Health Improvement Network (THIN) primary care database. 

Risk of thromboembolic events in people prescribed Glucocorticoids (steroids)
Glucocorticoids are used widely in treatment of asthma, COPD and Lower respiratory tract infection. However, it has been shown that some people who are prescribed steroids (glucocorticoids) have a two- to three-fold higher risk of coronary heart disease, myocardial infarction or stroke. Yet it is still unknown whether people prescribed steroids are also at higher risk of thromboembolic events.   

In this PhD projects we will identify examine and risk factors for thromboembolic events in people treated with Glucocoticoids. The project will also involve a systematic review on the topic.
 
Risks and benefits of prescribed medication in pregnancy
Many women of child bearing age are prescribed medication for various conditions. However, many women discontinue this medication when they plan pregnancy or become aware that they are pregnant. In this PhD project we will examine the risks and benefits of specific prescribed medication in pregnancy both in terms of the mothers and child health.

Child and adolescent mental health
Depression, selfharm, sleeping disorders and eating disorders are common mental health problems for many children and adolescents. In this PhD project we will examine how often these problems are recognized in primary care and how they are associated with parental mental health.
 
Missing data in longitudinal electronic health records
Missing data is often an issue in epidemiological studies. In this PhD project we will further examine how to deal with missing health indicator data in longitudinal electronic health records. We will examine how multiple imputation methods of missing data can be applied in studies of risk factors for chronic diseases.

Cardiovascular medications in primary care
Medicines to treat or prevent cardiovascular diseases are often prescribed in primary care and there are guidelines to who should receive these medications. In this PhD project we will examine factors associated with prescription of cardiovascular medications and evaluate methods to examine the effectiveness of these medication in real life settings and in populations that are often excluded in randomized controlled trials.   

All studentships listed above will suit candidates with a background in epidemiology and/or statistics and good numerical skills. However, training will be provided in analysis and management of large clinical databases. The students will be based within a multidisciplinary team of epidemiologists, statisticians and clinical specialists and usually the supervisory team will include both senior epidemiologists/statisticians and clinical specialists. Current supervisors include Dr Irene Petersen, Professor Irwin Nazareth, Dr Kate Walters, Dr David Osborn, Professor James Carpenter, Professor Ruth Gilbert.

For further information about specific funding rounds (current deadline 7 January 2013) and information about THIN please see
http://www.ucl.ac.uk/pcph/postgrad/studentship
http://www.ucl.ac.uk/pcph/research-groups-themes/thin-pub

Please also feel free to e-mail: [log in to unmask]

 

-- 
Irene Petersen, PhD
UCL
Department of Primary Care and Population Health
Rowland Hill St
London
NW3 2PF
Phone 020 7794 0500 exn. 34395
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --------------050304070705030901030704-- ========================================================================Date: Mon, 10 Dec 2012 17:00:38 +0000 Reply-To: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Subject: JOB: Programmer Content-Type: multipart/alternative; boundary="_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE7ISSMAILMBXVS1_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE7ISSMAILMBXVS1_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Medical Research Council, Epidemiology Unit Programming and Data Management Staff Member Required The MRC Epidemiology Unit was set up in October 2003 to study the genetic and environmental determinants of obesity, diabetes and related metabolic disorders. For further information about the Unit please visit www.mrc-epid.cam.ac.uk. IRC76029 Programmer - Permanent position - Band 5 We are looking to recruit one full-time permanent programmer who has particular strengths in Java programming, to work in an expanding data management team supporting the work of the Unit. This post holder can expect to be involved in a wide range of computational issues and will need to a strong team player with excellent communication skills at all levels. They will be responsible for developing software and provision of support for the management and processing of data, contributing towards the Unit's work flows and information and statistical structures. This Band 5 position will involve a technical focus on Java programming and experience of software development using XML, databases and web technologies would be an advantage. Whilst the focus will be on programming the post holder will be expected to understand and contribute regularly to the general data management activities carried out by the data management team. Their work will be led by the Band 4 programmer and the Senior Data Manager and will involve software development on both existing and new projects. This work will include the processing and standardisation of scientific data and its management through the development of appropriate software. Work will involve data from all of the Units' programmes of research, and initially some emphasis will be on providing expertise to ensure legacy software remains operational and to develop this further. Both post holders will be expected to work closely with investigating scientists and other data management staff to link scientific processes to unit data, software tools and databases. They will ensure appropriate security and access controls on all data are maintained in accordance with the Unit's requirements and current legal, security and ethical rules. Additionally, they will provide assistance and guidance to staff at all levels across the Unit (from Programme Leaders to students) in the development of programming and related databases. The post requires a BSc (or equivalent) qualification in a science, computation or mathematics based subject, ideally with some related subject experience in software development, large volume data handling and/or database development. The starting salary for the Band 5 position will be in the range £20,074 - £27,271 per annum depending on qualifications and experience. This is supported by a flexible pay and reward scheme and optional MRC final salary pension scheme. Working hours will be 36 per week. Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and submit a cover letter and include a CV. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC76029. Closing date: 10th January 2013 Regards Emma Williams HR Operational Administrator Starting Work Team Tel: 01793 867162 E-mail: [log in to unmask] RCUK Shared Services Centre Ltd North Star House North Star Avenue Swindon SN2 1FF _______________________________________________________________ RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited company registered in England and Wales (with company number 6330639) and has its registered address as North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF. This email may have a protective marking, for an explanation please see http://www.ssc.rcuk.ac.uk/info/Documents/RCUKSharedServiceCentreLtd.pdf This email and any attachments are intended for the named addressee(s) only. If you are not the intended recipient, please notify RCUK SSC Ltd immediately and do not disclose, distribute, or retain this email or any part of it. While RCUK SSC Ltd has taken every reasonable precaution to minimise risk of this e-mail or any attachments containing viruses, the recipient should carry out its own virus checks before opening the attachments. RCUK SSC Ltd does not accept any liability for any losses or damages which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks for the purposes of preventing and detecting crime. _______________________________________________________________ This message has been scanned by the iCritical Email Security Service. For more information please visit http://www.icritical.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. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE7ISSMAILMBXVS1_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Medical Research Council, Epidemiology Unit

 

Programming and Data Management Staff Member Required

The MRC Epidemiology Unit was set up in October 2003 to study the genetic and environmental determinants of obesity, diabetes and related metabolic disorders. For further information about the Unit please visit www.mrc-epid.cam.ac.uk.

 

IRC76029

Programmer – Permanent position - Band 5

 

We are looking to recruit one full-time permanent programmer who has particular strengths in Java programming, to work in an expanding data management team supporting the work of the Unit. This post holder can expect to be involved in a wide range of computational issues and will need to a strong team player with excellent communication skills at all levels. They will be responsible for developing software and provision of support for the management and processing of data, contributing towards the Unit’s work flows and information and statistical structures.

 

This Band 5 position will involve a technical focus on Java programming and experience of software development using XML, databases and web technologies would be an advantage.  Whilst the focus will be on programming the post holder will be expected to understand and contribute regularly to the general data management activities carried out by the data management team. Their work will be led by the Band 4 programmer and the Senior Data Manager and will involve software development on both existing and new projects. This work will include the processing and standardisation of scientific data and its management through the development of appropriate software.

 

Work will involve data from all of the Units’ programmes of research, and initially some emphasis will be on providing expertise to ensure legacy software remains operational and to develop this further. Both post holders will be expected to work closely with investigating scientists and other data management staff to link scientific processes to unit data, software tools and databases. They will ensure appropriate security and access controls on all data are maintained in accordance with the Unit’s requirements and current legal, security and ethical rules. Additionally, they will provide assistance and guidance to staff at all levels across the Unit (from Programme Leaders to students) in the development of programming and related databases.

 

The post requires a BSc (or equivalent) qualification in a science, computation or mathematics based subject, ideally with some related subject experience in software development, large volume data handling and/or database development.

 

The starting salary for the Band 5 position will be in the range £20,074 – £27,271 per annum depending on qualifications and experience. This is supported by a flexible pay and reward scheme and optional MRC final salary pension scheme. Working hours will be 36 per week.

 

Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and submit a cover letter and include a CV. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC76029.

 

Closing date:  10th January 2013

 

 

 

Regards 

Emma Williams

HR Operational Administrator

Starting Work Team

  

Tel: 01793 867162

E-mail: [log in to unmask]

 

RCUK Shared Services Centre Ltd

North Star House

North Star Avenue

Swindon

SN2 1FF

 


_____________________________________________________________________________________

RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited  company registered in England and Wales (with company number 6330639) and has its registered address as  North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF.

This email may have a protective marking, for an explanation please see
http://www.ssc.rcuk.ac.uk/info/Documents/RCUKSharedServiceCentreLtd.pdf

This email and any attachments are intended for the named addressee(s) only.
If you are not the intended recipient, please notify RCUK SSC Ltd immediately  and do not disclose, distribute, or retain this email or any part of it.  While RCUK SSC Ltd has taken every reasonable precaution to minimise risk  of this e-mail or any attachments containing viruses, the recipient  should carry out its own virus checks before opening the attachments.  RCUK SSC Ltd does not accept any liability for any losses or damages  which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks  for the purposes of preventing and detecting crime.

_____________________________________________________________________________________
This message has been scanned by the iCritical Email Security Service.
For more information please visit http://www.iCritical.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. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE7ISSMAILMBXVS1_-- ========================================================================Date: Mon, 10 Dec 2012 17:01:17 +0000 Reply-To: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Subject: JOB:Programmer Content-Type: multipart/alternative; boundary="_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE8ISSMAILMBXVS1_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE8ISSMAILMBXVS1_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Medical Research Council, Epidemiology Unit Programming and Data Management Staff Member Required The MRC Epidemiology Unit was set up in October 2003 to study the genetic and environmental determinants of obesity, diabetes and related metabolic disorders. For further information about the Unit please visit www.mrc-epid.cam.ac.uk. IRC76009 Programmer - Permanent position - Band 4/Band 5 (dependant on experience) We are looking to recruit one full-time permanent programmer who has particular strengths in Java programming and the management of software projects, to work in an expanding data management team supporting the work of the Unit. This post holder can expect to be involved in a wide range of computational issues and will need to a strong team player with excellent communication skills at all levels. They will be responsible for providing software development and wider expert advice on the management and processing of data, contributing towards the Unit's work flows and information and statistical structures. Reporting to, working with and managed by the Senior Data Manager (SDM), the post holder will be responsible for the day to day direction and program code development for software project programming work (subject to Band 4 appointment). They will support Unit projects requiring programming and with software development (both existing and new). They will ensure appropriate security and access controls on all data are maintained in accordance with the Unit's requirements and current legal, security and ethical rules. Additionally, they will provide assistance and guidance to staff at all levels across the Unit (from Programme Leaders to students) in the development of programming and related databases. Along with strong Java programming, experience of software development using XML, databases and web technologies would be advantageous. Whilst the focus will be on programming the post holder will be expected to understand and contribute to the general data management activities carried out by the data management team. Work will involve data from all of the Units' programmes of research, and initially some emphasis will be on providing expertise to ensure legacy software remains operational and to develop this further. The post holder will be expected to work closely with investigating scientists and other data management staff to link scientific processes to unit data, software tools and databases. The post requires a BSc (or equivalent) qualification in a science, computation or mathematics based subject, ideally with some related subject experience in software development, large volume data handling and/or database development. Candidates may be considered if they hold the appropriate qualifications and skills but do not fulfill the entire criteria of the role advertised. In this case, candidates will be considered for a Band 5 role. The starting salary for an appointment, at the Band 4 level will be in the range of £26,022 - £31,758 or at the Band 5 level will be in the range £20,074 - £27,271 per annum, depending on qualifications and experience. This is supported by a flexible pay and reward scheme and optional MRC final salary pension scheme. Working hours will be 36 per week. Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and submit a cover letter and include a CV. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC76009. Regards Emma Williams HR Operational Administrator Starting Work Team Tel: 01793 867162 E-mail: [log in to unmask] RCUK Shared Services Centre Ltd North Star House North Star Avenue Swindon SN2 1FF _______________________________________________________________ RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited company registered in England and Wales (with company number 6330639) and has its registered address as North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF. This email may have a protective marking, for an explanation please see http://www.ssc.rcuk.ac.uk/info/Documents/RCUKSharedServiceCentreLtd.pdf This email and any attachments are intended for the named addressee(s) only. If you are not the intended recipient, please notify RCUK SSC Ltd immediately and do not disclose, distribute, or retain this email or any part of it. While RCUK SSC Ltd has taken every reasonable precaution to minimise risk of this e-mail or any attachments containing viruses, the recipient should carry out its own virus checks before opening the attachments. RCUK SSC Ltd does not accept any liability for any losses or damages which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks for the purposes of preventing and detecting crime. _______________________________________________________________ This message has been scanned by the iCritical Email Security Service. For more information please visit http://www.icritical.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. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE8ISSMAILMBXVS1_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Medical Research Council, Epidemiology Unit

 

Programming and Data Management Staff Member Required

The MRC Epidemiology Unit was set up in October 2003 to study the genetic and environmental determinants of obesity, diabetes and related metabolic disorders. For further information about the Unit please visit www.mrc-epid.cam.ac.uk.

 

IRC76009

Programmer – Permanent position - Band 4/Band 5 (dependant on experience)

 

We are looking to recruit one full-time permanent programmer who has particular strengths in Java programming and the management of software projects, to work in an expanding data management team supporting the work of the Unit. This post holder can expect to be involved in a wide range of computational issues and will need to a strong team player with excellent communication skills at all levels. They will be responsible for providing software development and wider expert advice on the management and processing of data, contributing towards the Unit’s work flows and information and statistical structures.

 

Reporting to, working with and managed by the Senior Data Manager (SDM), the post holder will be responsible for the day to day direction and program code development for software project programming work (subject to Band 4 appointment). They will support Unit projects requiring programming and with software development (both existing and new). They will ensure appropriate security and access controls on all data are maintained in accordance with the Unit’s requirements and current legal, security and ethical rules. Additionally, they will provide assistance and guidance to staff at all levels across the Unit (from Programme Leaders to students) in the development of programming and related databases. Along with strong Java programming, experience of software development using XML, databases and web technologies would be advantageous. Whilst the focus will be on programming the post holder will be expected to understand and contribute to the general data management activities carried out by the data management team.

 

Work will involve data from all of the Units’ programmes of research, and initially some emphasis will be on providing expertise to ensure legacy software remains operational and to develop this further. The post holder will be expected to work closely with investigating scientists and other data management staff to link scientific processes to unit data, software tools and databases.

 

The post requires a BSc (or equivalent) qualification in a science, computation or mathematics based subject, ideally with some related subject experience in software development, large volume data handling and/or database development.

 

Candidates may be considered if they hold the appropriate qualifications and skills but do not fulfill the entire criteria of the role advertised.  In this case, candidates will be considered for a Band 5 role.  The starting salary for an appointment, at the Band 4 level will be in the range of £26,022 – £31,758 or at the Band 5 level will be in the range £20,074 – £27,271 per annum, depending on qualifications and experience. This is supported by a flexible pay and reward scheme and optional MRC final salary pension scheme. Working hours will be 36 per week.

 

Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and submit a cover letter and include a CV. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC76009.

 

 

 

Regards 

Emma Williams

HR Operational Administrator

Starting Work Team

  

Tel: 01793 867162

E-mail: [log in to unmask]

 

RCUK Shared Services Centre Ltd

North Star House

North Star Avenue

Swindon

SN2 1FF

 


_____________________________________________________________________________________

RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited  company registered in England and Wales (with company number 6330639) and has its registered address as  North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF.

This email may have a protective marking, for an explanation please see
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If you are not the intended recipient, please notify RCUK SSC Ltd immediately  and do not disclose, distribute, or retain this email or any part of it.  While RCUK SSC Ltd has taken every reasonable precaution to minimise risk  of this e-mail or any attachments containing viruses, the recipient  should carry out its own virus checks before opening the attachments.  RCUK SSC Ltd does not accept any liability for any losses or damages  which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks  for the purposes of preventing and detecting crime.

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to [log in to unmask], leaving the subject line blank. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE8ISSMAILMBXVS1_-- ========================================================================Date: Mon, 10 Dec 2012 17:02:07 +0000 Reply-To: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Emma Williams (RCUK, SSC Ltd)" <[log in to unmask]> Subject: JOB: Laboratory Manager Content-Type: multipart/alternative; boundary="_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE9ISSMAILMBXVS1_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE9ISSMAILMBXVS1_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Medical Research Council, Epidemiology Unit The MRC Epidemiology Unit undertakes research on the developmental, genetic and behavioural determinants of obesity and type 2 diabetes, and on the translation of epidemiological findings into preventive action. The MRC Epidemiology Unit is based within the Institute of Metabolic Science (IMS) on the Addenbrooke's site in Cambridge. Laboratory Manager (maternity cover) - Cambridge Band 4 - £26,022 - £31,758 Up to 12 months We have an opportunity for a suitably qualified individual to work in our state-of-the-art high-throughput automated laboratory as a Laboratory Manager covering a maternity leave. The work will take responsibility for managing a significant collection of population based biological samples from human research studies. Activities include storing, retrieving and shipping of biological samples, preparing large numbers of samples for biomarker measurements and genetic analysis using automated laboratory equipment and analytical systems. The Laboratory Manager will be responsible for the day-to-day operation of sample management work ensuring that it is carried out with flexibility, is professional and operates within local rules. The Laboratory Manager will also assist the Head of the Laboratory in implementing a new laboratory information management system. To be successful, applicants will have a relevant degree level or equivalent qualification alongside previous experience of line management, working with biological samples and using automated laboratory equipment. The successful candidate should have excellent communication skills and a proactive working approach. This post provides an excellent opportunity to work with some of the latest technology used in laboratory based epidemiological research covering a wide range of projects. For any queries please contact Matt Sims ([log in to unmask]). For further information about the MRC Epidemiology Unit please visit www.mrc-epid.cam.ac.uk. You can visit www.mrc.ac.uk for further information about the Medical Research Council This post is supported by a flexible pay and reward scheme and optional MRC final salary Pension Scheme. Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and complete an online application form. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC75989. Closing date: 11th January 2013 This position is subject to pre-employment screening The Medical Research Council is an Equal Opportunities Employer Regards Emma Williams HR Operational Administrator Starting Work Team Tel: 01793 867162 E-mail: [log in to unmask] RCUK Shared Services Centre Ltd North Star House North Star Avenue Swindon SN2 1FF _______________________________________________________________ RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited company registered in England and Wales (with company number 6330639) and has its registered address as North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF. This email may have a protective marking, for an explanation please see http://www.ssc.rcuk.ac.uk/info/Documents/RCUKSharedServiceCentreLtd.pdf This email and any attachments are intended for the named addressee(s) only. If you are not the intended recipient, please notify RCUK SSC Ltd immediately and do not disclose, distribute, or retain this email or any part of it. While RCUK SSC Ltd has taken every reasonable precaution to minimise risk of this e-mail or any attachments containing viruses, the recipient should carry out its own virus checks before opening the attachments. RCUK SSC Ltd does not accept any liability for any losses or damages which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks for the purposes of preventing and detecting crime. _______________________________________________________________ This message has been scanned by the iCritical Email Security Service. For more information please visit http://www.icritical.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. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE9ISSMAILMBXVS1_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

 

Medical Research Council, Epidemiology Unit

 

The MRC Epidemiology Unit undertakes research on the developmental, genetic and behavioural determinants of obesity and type 2 diabetes, and on the translation of epidemiological findings into preventive action. The MRC Epidemiology Unit is based within the Institute of Metabolic Science (IMS) on the Addenbrooke’s site in Cambridge.

 

Laboratory Manager (maternity cover) - Cambridge

Band 4 - £26,022 - £31,758

Up to 12 months

 

We have an opportunity for a suitably qualified individual to work in our state-of-the-art high-throughput automated laboratory as a Laboratory Manager covering a maternity leave. The work will take responsibility for managing a significant collection of population based biological samples from human research studies.  Activities include storing, retrieving and shipping of biological samples, preparing large numbers of samples for biomarker measurements and genetic analysis using automated laboratory equipment and analytical systems.

 

The Laboratory Manager will be responsible for the day-to-day operation of sample management work ensuring that it is carried out with flexibility, is professional and operates within local rules.  The Laboratory Manager will also assist the Head of the Laboratory in implementing a new laboratory information management system.

 

To be successful, applicants will have a relevant degree level or equivalent qualification alongside previous experience of line management, working with biological samples and using automated laboratory equipment. The successful candidate should have excellent communication skills and a proactive working approach.  This post provides an excellent opportunity to work with some of the latest technology used in laboratory based epidemiological research covering a wide range of projects. 

 

For any queries please contact Matt Sims ([log in to unmask]). For further information about the MRC Epidemiology Unit please visit www.mrc-epid.cam.ac.uk. You can visit www.mrc.ac.uk for further information about the Medical Research Council

 

This post is supported by a flexible pay and reward scheme and optional MRC final salary Pension Scheme.

 

Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at http://www.topcareer.jobs and complete an online application form.  Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003 Please quote reference number IRC75989.

 

 

Closing date:  11th January 2013

This position is subject to pre-employment screening

The Medical Research Council is an Equal Opportunities Employer

 

 

 

Regards 

Emma Williams

HR Operational Administrator

Starting Work Team

  

Tel: 01793 867162

E-mail: [log in to unmask]

 

RCUK Shared Services Centre Ltd

North Star House

North Star Avenue

Swindon

SN2 1FF

 


_____________________________________________________________________________________

RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited  company registered in England and Wales (with company number 6330639) and has its registered address as  North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF.

This email may have a protective marking, for an explanation please see
http://www.ssc.rcuk.ac.uk/info/Documents/RCUKSharedServiceCentreLtd.pdf

This email and any attachments are intended for the named addressee(s) only.
If you are not the intended recipient, please notify RCUK SSC Ltd immediately  and do not disclose, distribute, or retain this email or any part of it.  While RCUK SSC Ltd has taken every reasonable precaution to minimise risk  of this e-mail or any attachments containing viruses, the recipient  should carry out its own virus checks before opening the attachments.  RCUK SSC Ltd does not accept any liability for any losses or damages  which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks  for the purposes of preventing and detecting crime.

_____________________________________________________________________________________
This message has been scanned by the iCritical Email Security Service.
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SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_4900D2703F7ECC4D90D814F3D701848E06C2F04AE9ISSMAILMBXVS1_-- ========================================================================Date: Tue, 11 Dec 2012 13:39:56 +1000 Reply-To: Adrian Barnett <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Adrian Barnett <[log in to unmask]> Subject: JOB: Statistical Epidemiologist, Brisbane MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> Dear ALLSTAT Details on a job below... Job title: Statistical Epidemiologist Closes: 3 February 2013 Location: Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Australia Salary Range/Classification: $AUD 81,683 to $AUD 97,008 pa (Level B) Plus Superannuation: 17% employer contribution Status: Fixed-term for 2 years Details and selection criteria here: https://fileshare.qut.edu.au/public/barnetta/12636___Statistical_Epidemiologist.pdf. Regards, Adrian 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, 11 Dec 2012 09:30:07 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: CK Clinical - JOB- Principal Programmer UK Pharma Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A984EFCKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A984EFCKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear ALLSTAT, CK Clinical is recruiting for a Principal Programmer to join a leading pharmaceutical company at their site based in Hertfordshire on a 12 month contract basis. Home working is possible after an initial period but an office visit once a week is expected to ensure good communication is maintained. The main responsibilities of the Principal Programmer are to: *Plan and deliver programming/QC activities for multiple studies across several indication for a project in phase II development. *Provide technical expertise in support of clinical study data. The Principal Programmer will be responsible for: *Delivering effectively and to high quality to meet team objectives and milestones, and to enable prompt decision-making for the project. As a Principal Programmer, the following qualifications, skills and experience are required: *Excellent SAS programming skills. *Knowledge of clinical trials, preferably working within the pharmaceutical industry. * Good communication skills. *Bachelor's Degree / Master's Degree or equivalent with proven applicable experience. *Expertise in other scripting and programming languages would be beneficial. For this particular position, knowledge of CDISC standards (SDTM, ADaM) is preferred. For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively, please click on the link below to apply online now. CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria. Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A984EFCKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear ALLSTAT,

 

CK Clinical is recruiting for a Principal Programmer to join a leading pharmaceutical company at their site based in Hertfordshire on a 12 month contract basis. Home working is possible after an initial period but an office visit once a week is expected to ensure good communication is maintained.

 

The main responsibilities of the Principal Programmer are to:

·Plan and deliver programming/QC activities for multiple studies across several indication for a project in phase II development.

·Provide technical expertise in support of clinical study data.

The Principal Programmer will be responsible for:

·Delivering effectively and to high quality to meet team objectives and milestones, and to enable prompt decision-making for the project.

 

As a Principal Programmer, the following qualifications, skills and experience are required:

·Excellent SAS programming skills.

·Knowledge of clinical trials, preferably working within the pharmaceutical industry.

· Good communication skills.

·Bachelor's Degree / Master's Degree or equivalent with proven applicable experience.

·Expertise in other scripting and programming languages would be beneficial.

 

For this particular position, knowledge of CDISC standards (SDTM, ADaM) is preferred.

 

For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Alternatively, please click on the link below to apply online now.

 

CK Clinical is an Equal Opportunities employer and welcomes applications from all who meet our selection criteria.

 

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

 

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).

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A984EFCKASBS2011CKAloca_-- ========================================================================Date: Tue, 11 Dec 2012 10:03:10 +0000 Reply-To: Dankmar Boehning <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dankmar Boehning <[log in to unmask]> Subject: 3-Day-Course in Statistics for Epidemiology Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Advanced Statistical Methods in Epidemiology – a 3 days course Venue: Highfield Campus, University of Southampton, UK Presenter: Professor Dankmar Böhning and Dr Antonello Maruotti Dates of Course: Monday 4, Tuesday 5, Wednesday 6, February 2013 To register for this course online visit the online registration pages (http://store.southampton.ac.uk/browse/extra_info.asp?compid=1&catid=76&modid=5&prodid=247&deptid=39&prodvarid=0). Summary of Course: 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. Course Objectives: By the end of the course participants should: • Have a practical understanding of the ideas and methods of modelling analyzing epidemiological data arising from different epidemiologic designs, and know when their use is appropriate • Have a detailed understanding of how to critically interpret results from epidemiological data analysis • Gain a working knowledge of the epidemiological parts of the package STATA • Be able to apply these methods to epidemiologic data arising from diverse epidemiological designs Course Content: • Measures of disease occurrence including standardization (day 1) • Epidemiological study types and estimable effect measures (day 1) • Effect measures including risk ratio, risk difference and odds ratio including their nonparametric estimation under confounding using Mantel-Haenszel techniques (day 1 – day 2) • Poisson and logistic regression modelling for dealing with several confounders (day 2) • Kaplan-Meier estimation for time-to-event data (day 3) • Cox’ proportional hazards model (day 3) The course will have a practical emphasis with computer workshops allowing participants to work through examples using the STATA software. Target Audience: The course is aimed at researchers who want to perform statistical modeling 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. Pre-requisites: Participants are expected to have a good working knowledge of simple statistical methods, including a good understanding of estimation of parameters including confidence intervals, hypothesis testing and p-values. No familiarity with the software STATA is required. Preparatory Reading: There are an increasing number of good introductory books of statistical methodology for epidemiology. Below are a few that participants may find useful before attending the course, but may also be valuable to consult during and after the course: • Wassertheil-Smoller, S (2004) Biostatistics and Epidemiology. Springer, New York. • Selvin, S (2004) Statistical Analysis of Epidemiologic Data, 3rd Ed. Oxford University Press, Oxford. • Jewell, N. P. (2004) Statistics of Epidemiology. Chapman & Hall /CRC, Boca Raton. • Woodward M (2005) Epidemiology. Study Design and Data Analysis, 2nd Ed. Chapman & Hall /CRC, Boca Raton. Course Materials: Participants will receive written course notes. Please bring a calculator for the workshops as well as a USB memory stick for saving your computer workshop output. The Instructors: Professor Dankmar Böhning is the Chair in Medical Statistics in the Southampton Statistical Sciences Research Institute and is also jointly appointed by the academic units of mathematics and medicine at the University of Southampton. He has research interests in mixture models, capture-recapture methods and their applications in public health, nonparametric estimation of effect measures under confounding, statistical methods for meta-analysis and methods for diagnostic testing. He is associate editor of the Biometrical Journal, Statistical Modelling, Statistical Methods in Medical Research and CSDA. He had previous professorial positions in Reading (UK) and Berlin (Germany) and held visiting positions in Penn State (USA), Vienna (Austria), Munich (Germany) and Bangkok (Thailand). Dr Antonello Maruotti is a Lecturer in Medical Statistics at the Southampton Statistical Sciences Research Institute (S3RI) at the University of Southampton. He is also appointed by the academic unit of mathematics at the University of Southampton. He has research interests in repeated measurements and longitudinal data modeling, hidden Markov models and their application in medicine and epidemiology, statistical methods to deal with heterogeneiy and missingness. He has taught a wide range of statistical courses, with a special focus on statistical methods in medical research. He had previously a professional position in Rome (Italy) and held visiting positions in Lund (Sweden), Göttingen (Germany) and Caen (France). 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. Location and Accommodation: The course will be held at the Southampton Statistical Sciences Research Institute, Building 39, University of Southampton, Southampton, SO17 1BJ. Participants will need to make their own accommodation arrangements. Further information on accommodation and course location is available here (http://www.s3ri.soton.ac.uk/cass/venues.php#venue1). Duration: On the first day, the course will start with registration and coffee at 9.30 with formal teaching starting at 10.00 a.m. On the last day, formal teaching will end at about 3.00p.m. Afterwards there will be an opportunity for participants to ask questions about the course and to discuss with the instructor how to analyse their own data (until about 4pm). (Participants are welcome to bring their own data if they wish). 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, 11 Dec 2012 11:02:03 +0000 Reply-To: YSM2013 <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: YSM2013 <[log in to unmask]> Subject: CONFERENCE: YSM2013 at Imperial College London -- registration open Content-Type: multipart/alternative; boundary="_000_B06D545768DDE54D922BAEE6B87C6488C75A84icexchm5icacuk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_B06D545768DDE54D922BAEE6B87C6488C75A84icexchm5icacuk_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear all, We would like to announce that this year's Young Statisticians' Meeting will be held in the heart of London at Imperial College London from Thursday 4th July to Friday 5th July, 2013. Young Statisticians' Meeting (YSM2013) is a fantastic opportunity to present and discuss your work with other young statisticians in a relaxed and friendly atmosphere. Attendees are encouraged to give a talk and/or submit a poster. The meeting is traditionally aimed at statisticians in the first ten years of their career. Presentations on current PhD research are therefore welcomed as are talks on work experience in industry or public service. The conference fee will be £100. Accommodation close to Imperial College London for Wednesday 3rd and Thursday 4th July is available and can be booked separately on the conference website (there are 70 rooms available). Those who would like to stay in London for the weekend are welcome to book extended accommodation for Friday 5th and Saturday 6th July (there are 15 rooms available). All information on YSM2013, including the sign-up link for the conference and accommodation, can be found on the conference website at http://www3.imperial.ac.uk/statistics/seminars/youngstatisticiansmeeting The registration is now open. If your abstract is not ready yet, please register nevertheless and submit a second application with your abstract later. The deadline for applications which include accomodation is the end of February 2013. However, abstracts for talks submitted after this deadline might still be considered. If you have any questions, please contact us at [log in to unmask] We are looking forward to seeing many young statisticians in July 2013! On behalf of the Organising Committee of YSM2013 Georg Hahn You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_B06D545768DDE54D922BAEE6B87C6488C75A84icexchm5icacuk_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Dear all,

We would like to announce that this year's Young Statisticians' Meeting will be held in the heart of London at Imperial College London from Thursday 4th July to Friday 5th July, 2013.

Young Statisticians' Meeting (YSM2013) is a fantastic opportunity to present and discuss your work with other young statisticians in a relaxed and friendly atmosphere. Attendees are encouraged to give a talk and/or submit a poster. The meeting is traditionally aimed at statisticians in the first ten years of their career. Presentations on current PhD research are therefore welcomed as are talks on work experience in industry or public service.

The conference fee will be £100. Accommodation close to Imperial College London for Wednesday 3rd and Thursday 4th July is available and can be booked separately on the conference website (there are 70 rooms available). Those who would like to stay in London for the weekend are welcome to book extended accommodation for Friday 5th and Saturday 6th July (there are 15 rooms available).

All information on YSM2013, including the sign-up link for the conference and accommodation, can be found on the conference website at
http://www3.imperial.ac.uk/statistics/seminars/youngstatisticiansmeeting

The registration is now open. If your abstract is not ready yet, please register nevertheless and submit a second application with your abstract later. The deadline for applications which include accomodation is the end of February 2013. However, abstracts for talks submitted after this deadline might still be considered.

If you have any questions, please contact us at
[log in to unmask]

We are looking forward to seeing many young statisticians in July 2013!

On behalf of the Organising Committee of YSM2013
Georg Hahn



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to [log in to unmask], leaving the subject line blank. --_000_B06D545768DDE54D922BAEE6B87C6488C75A84icexchm5icacuk_-- ========================================================================Date: Tue, 11 Dec 2012 11:31:18 +0000 Reply-To: Naomi Wray <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Naomi Wray <[log in to unmask]> Subject: JOB: Postdoctoral Researchers in Statistical Genetics, University of Queensland, Brisbane, Australia Content-Type: multipart/alternative; boundary="_000_CCED56A26F19Bnwrayuqeduau_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_CCED56A26F19Bnwrayuqeduau_ Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Postdoctoral Positions in Statistical Genetics The University of Queensland, Queensland Brain Institute and Diamantina Institute Opportunities currently exist for up to five experienced Postdoctoral Research Fellows/Research Fellows to be part of an internationally recognised group . The successful applicants would potentially work on projects involving analysis of genotyping, expression, methylation and sequencing data, as well as simulation of genetic data for testing methods and for interpretation of results within a population genetics framework and development of user friendly software for dissemination to the wider academic community. The person Applicants should hold a PhD in a relevant field and have evidence of research productivity, including publications and conference presentations. For an appointment at Academic Level B, you will have extensive postdoctoral experience. Remuneration This is a full-time, fixed term appointment for an initial period of up to 3 years (renewal subject to funding and performance) at Research Academic level A or B. The remuneration package will be in the range $72,443.60 - $77,764.39 p.a. (Level A), or $81,857.70 - $97,205.75 p.a (Level B), plus employer superannuation contributions of up to 17%. Level of appointment will be commensurate with qualifications, experience and academic achievements. For more details and online application: http://www.seek.com.au/Job/postdoctoral-research-fellow-research-fellow/in/brisbane-cbd-inner-suburbs/23660931 Job # 494189 on UQ jobs http://www.uq.edu.au/uqjobs/ Closing date January 14 2013 Informal enquiries can be made to A/Prof Naomi Wray ([log in to unmask]) or Prof Peter Visscher ([log in to unmask]) In addition PhD positions are also available – email [log in to unmask]. --------------------------------------- Naomi R Wray | PhD Queensland Brain Institute l University of Queensland Queensland Room 432| Building 79 T + 61 7 33466374 F +61 7 33466301 W www.qbi.uq.edu.au, complextraitgenomics.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. --_000_CCED56A26F19Bnwrayuqeduau_ Content-Type: text/html; charset="Windows-1252" Content-ID: <[log in to unmask]> Content-Transfer-Encoding: quoted-printable

Postdoctoral Positions in Statistical Genetics
The University of Queensland,  Queensland Brain Institute and Diamantina Institute

Opportunities currently exist for up to five experienced Postdoctoral Research Fellows/Research Fellows to be part of an internationally recognised group . The successful applicants would potentially work on projects involving analysis of genotyping, expression, methylation and sequencing data, as well as simulation of genetic data for testing methods and for interpretation of results within a population genetics framework and development of user friendly software for dissemination to the wider academic community.

The person

Applicants should hold a PhD in a relevant field and have evidence of research productivity, including publications and conference presentations. For an appointment at Academic Level B, you will have extensive postdoctoral experience.

Remuneration

This is a full-time, fixed term appointment for an initial period of up to 3 years (renewal subject to funding and performance) at Research Academic level A or B. The remuneration package will be in the range $72,443.60 - $77,764.39 p.a. (Level A), or $81,857.70 - $97,205.75 p.a (Level B), plus employer superannuation contributions of up to 17%. Level of appointment will be commensurate with qualifications, experience and academic achievements.

For more details and online application:  http://www.seek.com.au/Job/postdoctoral-research-fellow-research-fellow/in/brisbane-cbd-inner-suburbs/23660931

Job # 494189 on UQ jobs http://www.uq.edu.au/uqjobs/
Closing date  January 14 2013
Informal enquiries can be made to A/Prof Naomi Wray ([log in to unmask]) or Prof Peter Visscher ([log in to unmask])

In addition PhD positions are also available – email [log in to unmask].

---------------------------------------

Naomi R Wray | PhD

Queensland Brain Institute l University of Queensland

Queensland Room 432| Building 79

T + 61 7 33466374  F  +61 7 33466301  W www.qbi.uq.edu.au, complextraitgenomics.com


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to [log in to unmask], leaving the subject line blank. --_000_CCED56A26F19Bnwrayuqeduau_-- ========================================================================Date: Tue, 11 Dec 2012 11:48:30 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: FW: CK Clinical - JOB- Senior Biostatistician UK Biotech In-Reply-To: <[log in to unmask]> Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A98598CKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A98598CKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear ALLSTAT, CK Clinical is recruiting for a Senior Biostatistician to join a global biotech company at their site based in the Home Counties for 6 months. The main responsibilities of the Senior Biostatistician are to: * Prepare analysis plans and write detailed specifications for analysis data sets, conducts quality control checks on tables, figures and listings; communicates effectively with clients regarding statistical analysis issues. * Interpret analyses and write statistical sections of study reports. * Have knowledge of commonly-used statistical concepts, practices, and procedures within clinical research. * Rely on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. * Typically report to a supervisor or manager. As a Senior Biostatistician, the following qualifications, skills and experience are required: * Masters degree in statistics, biostatistics, or related field; * Statistical experience gained from Pharmaceutical Industry or related Industry; * SAS experience. * Experience working with observational data beneficial. For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask]. Alternatively, please click on the link below to apply online now. Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98598CKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

 

Dear ALLSTAT,

 

CK Clinical is recruiting for a Senior Biostatistician to join a global biotech company at their site based in the Home Counties for 6 months.

 

The main responsibilities of the Senior Biostatistician are to:

•              Prepare analysis plans and write detailed specifications for analysis data sets, conducts quality control checks on tables, figures and listings; communicates effectively with clients regarding statistical analysis issues.

•              Interpret analyses and write statistical sections of study reports.

•              Have knowledge of commonly-used statistical concepts, practices, and procedures within clinical research.

•              Rely on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision.

•              Typically report to a supervisor or manager.

 

As a Senior Biostatistician, the following qualifications, skills and experience are required:

•              Masters degree in statistics, biostatistics, or related field;

•              Statistical experience gained from Pharmaceutical Industry or related Industry;

•              SAS experience.

•              Experience working with observational data beneficial.

 

For more information or to apply for the Senior Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask]. Alternatively, please click on the link below to apply online now.

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

 

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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to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98598CKASBS2011CKAloca_-- ========================================================================Date: Tue, 11 Dec 2012 11:49:17 +0000 Reply-To: Mylene Paumier <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Mylene Paumier <[log in to unmask]> Subject: URGENTLY seeking for a Clinical Data Manager with CDISC Experience In-Reply-To: <[log in to unmask]> Content-Type: multipart/alternative; boundary="_000_3881B5C744676049AFE62073CC1567FE0A06D4CECKASBS2011CKAlo_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_3881B5C744676049AFE62073CC1567FE0A06D4CECKASBS2011CKAlo_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear AllStat, CK Clinical is recruiting for a Clinical Data Manager with CDISC Experience to join an International CRO at their site based in Brussels on a contract basis. As Clinical Data Manager, you will have the following responsibilities: * Content and structure analysis of the legacy data and the clinical trial protocol * Annotation of Case Report Forms using CDISC Terminology * Preparation of clinical data CDISC conversion definitions * Development of project documentations (Data Reviewers Guide and Data Handling Report) * Validation of the data and metadata according to the applicable CDISC standards and guidelines * Quality Control of all project deliverables * Responsibility for the timely delivery of a CDISC-compliant submission package * Contribution to the definition of CDISC validation checks As Clinical Data Manager, you will have the following qualifications, skills and experience: * Master's degree in scientific or healthcare discipline or equivalent through experience * Experience in a clinical trial environment * Strong understanding of data management and database administration: clinical protocol assessment, Case Report Form design, understanding of clinical data management systems, study start up (database administration, edit check creation/validation) and data base lock. * CDISC knowledge is a plus * Good knowledge of ICH/GCP * Basic SAS knowledge * Good English written and oral communication skills * Quick learner * Excellent team player * Able to plan work in order to meet deadlines For more information or to apply for this Clinical Data Manager position, please contact Mylene Paumier on +44 (0)207 470 5672 or email: [log in to unmask][log in to unmask]>. Best regards, Mylene Mylene Paumier Consultant CK Clinical Limited Crown House 72, Hammersmith Road London W14 8TH DD: +44 (0)207 470 5672 Tel: +44 (0)207 470 5670 [log in to unmask] www.ckagroup.co.uk 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A06D4CECKASBS2011CKAlo_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

 

Dear AllStat,

CK Clinical is recruiting for a Clinical Data Manager with CDISC Experience to join an International CRO at their site based in Brussels on a contract basis.

As Clinical Data Manager, you will have the following responsibilities:

 

·               Content and structure analysis of the legacy data and the clinical trial protocol

·               Annotation of Case Report Forms using CDISC Terminology

·               Preparation of clinical data CDISC conversion definitions

·               Development of project documentations (Data Reviewers Guide and Data Handling Report)

·               Validation of the data and metadata according to the applicable CDISC standards and guidelines

·               Quality Control of all project deliverables

·               Responsibility for the timely delivery of a CDISC-compliant submission package

·               Contribution to the definition of CDISC validation checks

 

 

As Clinical Data Manager, you will have the following qualifications, skills and experience:

 

·               Master's degree in scientific or healthcare discipline or equivalent through experience

·               Experience in a clinical trial environment

·               Strong understanding of data management and database administration: clinical protocol assessment, Case Report Form design, understanding of clinical data management systems, study start up (database administration, edit check creation/validation) and data base lock.

·               CDISC knowledge is a plus

·               Good knowledge of ICH/GCP

·               Basic SAS knowledge

·               Good English written and oral communication skills

·               Quick learner

·               Excellent team player

·               Able to plan work in order to meet deadlines

 

For more information or to apply for this Clinical Data Manager 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

Consultant

 

CK Clinical Limited

Crown House

72, Hammersmith Road

London

W14 8TH

 

DD: +44 (0)207 470 5672

Tel: +44 (0)207 470 5670

[log in to unmask]

 

www.ckagroup.co.uk

 

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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to [log in to unmask], leaving the subject line blank. --_000_3881B5C744676049AFE62073CC1567FE0A06D4CECKASBS2011CKAlo_-- ========================================================================Date: Tue, 11 Dec 2012 11:51:22 +0000 Reply-To: Len Thomas <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Len Thomas <[log in to unmask]> Organization: University of St Andrews Subject: PhD Opportunities in Statistics at St Andrews, 2013 MIME-Version: 1.0 Content-Type: text/plain; charset=windows-1252; format=flowed Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> Applications are welcomed for students wishing to undertake a PhD in Statistics at St Andrews. Full funding may be available for well-qualified applicants. One source of funding is the University’s newly-announced 600th Anniversary PhD Scholarships, and the closing date for these is 18th January 2013. UK, EU and other overseas students are all encouraged to apply. Members of the Statistics Division at St Andrews are particularly active in the fields of statistical ecology and Bayesian statistical inference. Other research topics include computer-intensive inference, datamining, data smoothing and statistical genetics. General applications from potential students interested in these areas are welcome. In addition, we are looking for candidates for the following specific projects; more details of these, the PhD environment and the application process are at the following web site: http://tinyurl.com/csysuxq (pdf document; full address http://www-maths.mcs.st-andrews.ac.uk/pg/statistics/StAndrewsStatisticsPhDOpportunities2013.pdf). Specific projects (supervisor in brackets): - Partially Observed Contingency Tables (Antony Overstall and Ruth King) - The effect of combinations of categorical covariates on a certain outcome in high-dimensional data, with applications in genetic epidemiology (Michail Papathomas) - Inferring the impact of varying boundary conditions based on spatial statistics and inverse modelling (Janine Illian) - Point pattern analysis of tropical tree populations to test theories of species coexistence and controls on flowering (Janine Illian) - Modelling wildlife distribution, autocorrelation and patchiness from survey data. (Janine Illian and David Borchers) - Prediction of faults on a power distribution network (Carl Donovan) - Spatially adaptive tiling (Monique Mackenzie) - Sequential mark-recapture and plant-capture (Ian Goudie) - Population status and trends of Great Apes (Steve Buckland) - Methods for Ecological Surveys with Detection Observation Error (David Borchers and Steve Buckland) - Distributed systems and algorithms for Monte Carlo inference in statistical ecology (Len Thomas) - Efficient methods for fitting nonlinear non-Gaussian state-space models of wildlife population dynamics (Len Thomas and Steve Buckland) For informal discussion, contact Dr. Len Thomas <[log in to unmask]> 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, 11 Dec 2012 12:08:33 +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: Biostatistician- 6 month contract. Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE7198HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE7198HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKSSBob3BlIHlvdSBhbGwgaGFkIGEgZ29vZCB3ZWVrZW5kLCBwbGVhc2Ug ZmluZCBiZWxvdyBvdXIgbGF0ZXN0IGNvbnRyYWN0IEJpb3N0YXRpc3RpY2lhbiB2YWNhbmN5IGZv ciB0aGUgVUsgYW5kIGEgYnJpZWYgam9iIGRlc2NyaXB0aW9uIHdvcmtpbmcgd2l0aCBhIHRvcCAy MCBnbG9iYWwgcGhhcm1hY2V1dGljYWwgY2xpZW50LgoKQklPU1RBVElTVElDSUFOCjYgTU9OVEhT IENPTlRSQUNUCgpQb3NpdGlvbjogQ29udHJhY3QgQmlvc3RhdGlzdGljaWFuIChGdWxsIHRpbWUp ClN0YXJ0IERhdGU6IEVhcmx5IDIwMTMKUmF0ZTogQ29tcGV0aXRpdmUKRmxleGliaWxpdHk6IFBv dGVudGlhbCBmb3IgdXAgdG8gMyBkYXlzIGhvbWV3b3JraW5nCgoKClJvbGUKCldlIGN1cnJlbnRs eSBoYXZlIGFuIG9wcG9ydHVuaXR5IGZvciBhbiBleHBlcmllbmNlZCBzdHVkeSBiaW9zdGF0aXN0 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========================================================================Date: Tue, 11 Dec 2012 12:02:07 +0000 Reply-To: Michail Tsagris <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Michail Tsagris <[log in to unmask]> Subject: 3rd International Conference: Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (Q.M.E.A.S. 2013) Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> 3rd International Conference: Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (Q.M.E.A.S. 2013) Event Dates: Thursday May 23 - Friday May 24 City: Athens State: International Country: Greece Event Type: Meeting In today's world of technology, the Quantitative and Qualitative Methods are important tools for the improvement of quality of products, services and decision making in all kinds of Business. Quantitative Techniques are applied at every stage of operation of a public or private company such as production, sales, accounting, finance, personnel management and public relations. The 3rd International Conference on Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (Q.M.E.A.S. 2013) aims to facilitate the interaction between two worlds: the world of Business and the world of Academic Community. The organizers of this Conference have the ambition to establish a forum for discussions on the theory and applications of the Quantitative and Qualitative Methods in all aspects of business activity. For more info click here: http://users.teiath.gr/cfragos/index_files/Page1327.htm Contact: Professor Christos Frangos Phone: +30 6944162376 Fax: +30 2102833756 Email: [log in to unmask] 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, 11 Dec 2012 12:24:41 +0000 Reply-To: Russell Gillam <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Russell Gillam <[log in to unmask]> Subject: Exciting New Opportunity | Clinical Biostatisticians | 12 Months | =?iso-8859-1?Q?£45-£55_?=p/h Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F06923A1152msx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F06923A1152msx1s2berdlpl_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable An exciting new opportunity has arisen for a clinical statistician to join them on a rolling contract basis. A great location and a competitive rate, this role would suit a solid clinical statistician with 4 years continuous experience in the industry. Contract: Clinical Statistician 12 Months + Office Based London £45 - £55 For a confidential discussion, please get in touch with Russell Gillam on +44 255 6665 OR send your updated CV to [log in to unmask] Job Summary: Your primary responsibility will be the overseeing trial design and reporting. Preparing statistical aspects of development plans for new drug indications with minimum review. Act as Statistics representative for cross-functional teams and management review, including Therapeutic Area management review. Accountabilities/Responsibilities: Leads statistical input for at least one disease indication, including review with Therapeutic Area management. Advise and contribute to the methodological and statistical aspects of clinical trials and protocols Development of statistical analysis plans; Program and execute statistical analyses; Write statistical reports Clinical study design. Analysis planning for clinical studies. Statistical input to clinical study reports. Provides statistical support to other disciplines related to clinical statistics. Serves as a primary contact with outside investigators in the preparation of scientific presentations and manuscripts. Represents department in meetings with regulatory agencies. Essential Skills & Capabilities: You are expected to have an MSc or PhD degree in statistics or mathematics or relevant subject. You also have a comprehensive working knowledge of biostatistical methodology based on a successful career as a statistician within international clinical drug development for several years. Good to advanced knowledge of SAS programming and at least some other significant statistical software (e.g., S-Plus, PASS). Basic knowledge of regulatory guidance documents such as ICH guidances. Demonstrated written and oral communication skills. Demonstrated leadership skills. All applicants must be fluent in English (verbal & written). For a confidential discussion, please get in touch directly with Russell Gillam on +44 255 6665 OR send your updated CV to [log in to unmask] SEC Recruitment Limited is acting as an Employment Agency and/or Employment Business ________________________________ 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 SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A1152msx1s2berdlpl_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

An exciting new opportunity has arisen for a clinical statistician to join them on a rolling contract basis.

A great location and a competitive rate, this role would suit a solid clinical statistician with 4 years continuous experience in the industry.

 

Contract: Clinical Statistician
12 Months +
Office Based
London
£45 - £55

For a confidential discussion, please get in touch with Russell Gillam on +44 255 6665 OR send your updated CV to [log in to unmask]

Job Summary:
Your primary responsibility will be the overseeing trial design and reporting. Preparing statistical aspects of development plans for new drug indications with minimum review. Act as Statistics representative for cross-functional teams and management review, including Therapeutic Area management review.
Accountabilities/Responsibilities:

Leads statistical input for at least one disease indication, including review with Therapeutic Area management.
Advise and contribute to the methodological and statistical aspects of clinical trials and protocols
Development of statistical analysis plans;
Program and execute statistical analyses;
Write statistical reports
Clinical study design.
Analysis planning for clinical studies.
Statistical input to clinical study reports.
Provides statistical support to other disciplines related to clinical statistics.
Serves as a primary contact with outside investigators in the preparation of scientific presentations and manuscripts.
Represents department in meetings with regulatory agencies.

Essential Skills & Capabilities:
You are expected to have an MSc or PhD degree in statistics or mathematics or relevant subject. You also have a comprehensive working knowledge of biostatistical methodology based on a successful career as a statistician within international clinical drug development for several years.

Good to advanced knowledge of SAS programming and at least some other significant statistical software (e.g., S-Plus, PASS). Basic knowledge of regulatory guidance documents such as ICH guidances. Demonstrated written and oral communication skills. Demonstrated leadership skills.

All applicants must be fluent in English (verbal & written).


For a confidential discussion, please get in touch directly with Russell Gillam on +44 255 6665 OR send your updated CV to [log in to unmask]


SEC Recruitment Limited is acting as an Employment Agency and/or Employment Business


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

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F06923A1152msx1s2berdlpl_-- ========================================================================Date: Tue, 11 Dec 2012 22:58:28 +0000 Reply-To: "Julie Small (HR)" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Julie Small (HR)" <[log in to unmask]> Subject: Job Vacancy: RESEARCH ASSOCIATE / RESEARCH FELLOW =?Windows-1252?Q?–_?=IMMUNISATION RESEARCH (SOCIAL SCIENCE) at the University of Sydney Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Dear all, As part of the Sydney Medical School at the University of Sydney, the School of Public Health is currently seeking a Research Associate /Research Fellow in Immunisation (Social Science).  Visit sydney.edu.au/positions and search by the reference number 1841/1112 for more information and to apply. Sydney Medical School is dedicated to improving the health of people in Australia and elsewhere, through high quality education, research and the provision of health care. The School has a large student body - 1200 medical students, more than 1300 students in postgraduate courses and nearly 1000 students undertaking higher research degrees – and major undergraduate teaching programs in medical and health sciences. The National Centre for Immunisation Research and Surveillance of Vaccine Preventable Diseases (NCIRS) receives funding under agreements with the Australian Government Department of Health and Ageing (DoHA) and NSW Health as well as external grants from the National Health and Medical Research Council (NHMRC) the Australian Research Council (ARC) and others. The Centre is affiliated with the University of Sydney and staff may have appointments within the Discipline of Paediatrics and Child Health and the School of Public Health. It is based at the Children’s Hospital at Westmead within the Kids Research Institute. We are seeking to appoint a dedicated researcher to contribute to research projects focussed on quantitative data analysis of surveys investigating immunisation knowledge, attitudes and practices of consumers, providers and other stakeholders and will require research project management skills. The role may also involve undertaking systematic reviews and some involvement in qualitative studies. The position also involves communicating with stakeholders in government and other relevant organisations involved in immunisation policy and practice and some postgraduate teaching and supervision. To succeed in securing this role you will have: • postgraduate qualifications from a recognised tertiary institution (eg, psychology, public health, social sciences) with a reasonable level of research experience or other relevant scholarly training • experience in social sciences research methods, including questionnaire development, validation, participant recruitment, data collection, and analysis with demonstrated outputs • a broad understanding of the range of determinants of health behaviour with demonstrated theoretical knowledge • proficiency in analysis of quantitative social sciences data and familiarity with statistical procedures such as multivariate analysis and logistic regression • experience in the use of relevant computer packages including Microsoft Office (Word, Powerpoint, Excel, Outlook) and Endnote (or equivalent); • experience in using relevant statistical analysis software (eg, SPSS, SAS) • superior verbal and written communication skills including ability to clearly communicate with a wide range of people and organisations • a demonstrated organisational and administrative abilities including project management, planning, attention to detail, flexibility and time management; • a demonstrated understanding of Australian immunisation programs (desirable). CLOSING DATE: 31 January 2012 (11.30pm Sydney time) 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: Wed, 12 Dec 2012 09:29:02 +0000 Reply-To: Matthew Sperrin <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Matthew Sperrin <[log in to unmask]> Subject: MPS Professional Development Courses 2013, Lancaster University, UK MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryè9a8ff255e80ae43804d0a46f49 Message-ID: <[log in to unmask]> --e89a8ff255e80ae43804d0a46f49 Content-Type: text/plain; charset=ISO-8859-1 The MPS Research Unit is pleased to announce our programme of short courses for 2013 on advanced concepts in the design and analysis of clinical trials. Our courses are aimed at statisticians working in clinical research. Courses take place in the attractive accommodation of the Postgraduate Statistics Centre at Lancaster University. Presenters will be John Whitehead, Anne Whitehead, Thomas Jaki, Lisa Hampson, Andrew Titman and Dominic Magirr. CALENDAR FOR 2013 11-14 Feb Pharmacological Modelling 25-28 Feb Survival and Event History Analysis 11-14 Mar Adaptive and Bayesian Methods in Clinical Research 15 March* Genomics: Technologies and Data Analyses 10-11 June Designing Early Phase Trials *Course material for the Genomics workshop will be available for self-study via the web from 31 January, which is the registration deadline. A one day workshop to complete the course will be held at Lancaster on 15 March. FURTHER DETAILS AND BOOKING: For details of these and other courses offered by the Postgraduate Statistics Centre, go to http://shortcourses.maths.lancs.ac.uk or contact Angela Mercer, Postgraduate Statistics Centre, Department of Mathematics and Statistics, Fylde College, Lancaster University, Lancaster LA1 4YF, UK. Tel: +44 1524 593064 email: [log in to unmask] All of the professional development courses offered by the MPS Research Unit may be commissioned by a company or organisation, tailored to meet your special requirements and presented at a location of your choice both for statisticians and non-statisticians. Please contact our short courses administrator Angela Mercer to discuss your specific requirements or for further information. Information about the MPS Research Unit can be found at www.mps-research.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. --e89a8ff255e80ae43804d0a46f49 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable The MPS Research Unit is pleased to announce our programme of short courses for 2013 on advanced concepts in the design and analysis of clinical trials.  Our courses are aimed at statisticians working in clinical research.  Courses take place in the attractive accommodation of the Postgraduate Statistics Centre at Lancaster University.  Presenters will be John Whitehead, Anne Whitehead, Thomas Jaki, Lisa Hampson, Andrew Titman and Dominic Magirr.

CALENDAR FOR 2013

    11-14 Feb           Pharmacological Modelling
    25-28 Feb           Survival and Event History Analysis
    11-14 Mar           Adaptive and Bayesian Methods in Clinical Research
    15 March*           Genomics: Technologies and Data Analyses
    10-11 June          Designing Early Phase Trials

 *Course material for the Genomics workshop will be available for self-study via the web from 31 January, which is the registration deadline.  A one day workshop to complete the course will be held at Lancaster on 15 March.


FURTHER DETAILS AND BOOKING:  For details of these and other courses offered by the Postgraduate Statistics Centre, go to http://shortcourses.maths.lancs.ac.uk or contact Angela Mercer, Postgraduate Statistics Centre, Department of Mathematics and Statistics, Fylde College, Lancaster University, Lancaster LA1 4YF, UK.
Tel:  +44 1524 593064     email: [log in to unmask]


All of the professional development courses offered by the MPS Research Unit may be commissioned by a company or organisation, tailored to meet your special requirements and presented at a location of your choice both for statisticians and non-statisticians. Please contact our short courses administrator Angela Mercer to discuss your specific requirements or for further information. Information about the MPS Research Unit can be found at www.mps-research.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. --e89a8ff255e80ae43804d0a46f49-- ========================================================================Date: Wed, 12 Dec 2012 10:09:24 +0000 Reply-To: Jim Griffin <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jim Griffin <[log in to unmask]> Subject: JOB Senior Lecturer at University of Kent MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 8bit Message-ID: <[log in to unmask]> Senior Lecturer in Statistics (Full-time, 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]) 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: Wed, 12 Dec 2012 10:24:41 +0000 Reply-To: Carina Salt <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Carina Salt <[log in to unmask]> Subject: JOB: Statistician (2yr contract) - Leicestershire, UK Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Statistician £34,000 to £39,000 (2 year contract position) WALTHAM Centre for Pet Nutrition, Leicestershire, UK The WALTHAM Centre for Pet Nutrition is the global hub of nutritional expertise for Mars Petcare, with a remit to deliver ‘high-quality, innovative science conducted in a caring way’. You’ll join a talented team of statisticians, setting and supporting the roll-out of best practice in statistical and experimental methodology to our pet care research sites around the globe. You will be involved in solving methodological questions concerning the design of our trials whilst your statistical programming skills will be utilised in developing tools to enable product developers to do their own data analysis and reporting. You’ll be expected to maintain awareness of new developments in statistics, and will be able to take advantage of opportunities to attend courses and conferences in relevant fields. You’ll either have an MSc in statistics, or a BSc with relevant experience. Strong R programming skills are essential, with experience of Visual Basic also being advantageous. As you will be working to set and implement best practice ideas across a number of sites, a drive for results and good interpersonal skills are desirable. Find out more about us at http://www.waltham.com/ If you want to expand your knowledge and take on new challenges, then please send a CV and covering letter to [log in to unmask] 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: Wed, 12 Dec 2012 10:35:29 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: SAS BI Consultant Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011DFA41HRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011DFA41HRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 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V2FsZXMgd2l0aCBjb21wYW55IG51bWJlciAyMTUwOTUwLiZuYnNwOyBIYXlzIHBsY+KAmXMgcmVn aXN0ZXJlZCBvZmZpY2UgaXMgYXQgMjUwIEV1c3RvbiBSb2FkLCBMb25kb24gTlcxIDJBRi48YnI+ KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqPC9QPjwvYm9keT4KPC9odG1sPgoNCllvdSBtYXkgbGVhdmUgdGhlIGxpc3Qg YXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUgY29tbWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0YXQN CjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlz dHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsu DQo--_000_865C735EC628874680AFDB5D6931883A011DFA41HRMWSXS1478emea_-- ========================================================================Date: Wed, 12 Dec 2012 10:36:30 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: CK Clinical - JOB- Senior Associate Biostatical Programmer UK Biotech Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A98875CKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A98875CKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable CK Clinical has been asked by a global biotech company to help them recruit 3 Senior Associate, Biostatical Programmers to join their team on a permanent basis. With supervision, your main responsibility will be to write, test and validate software programs to support the analysis and presentation of biomedical data ensuring quality and accuracy of programming deliverables and adherence to the company's Policies, SOPs and other controlled documents. The key responsibilities of the Senior Associate Biostatical Programmer are to: * Assist in the review of key study-related documents produced by other functions, e.g. case report form, data management plan, NONMEM specifications *Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications *Understand and execute department-, product- and study-level macros and utilities *Write, test and validate product- and study-level macros and utilities *Assist with study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings *Provide input to and participate in intra-departmental and GBDS meetings *Contribute to the continuous improvement of Global Biomedical Data Sciences (GBDS) and programming *Assist in the review of GBDS policies, standard operating procedures and other controlled documents *Provide support to and mentor more junior programmers *Interface with outsourcing partners and vendors *Attend external professional organizations, conferences, training and/or meetings As a Senior Associate Biostatical Programmer, the following basic qualifications, skills and experience are required: *Bachelors degree *General clinical research and development programming experience *Statistical programming experience in SAS within the drug development setting using the SAS System version 9.1.3 or higher As a Senior Associate Biostatical Programmer, the following preferred qualifications, skills and experience are required: *Bachelors or Masters degree, in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject *General clinical research and development programming experience *Drug Development (pre-, early, late and/or observational) in related industries or academic research *SAS programming expertise in the BASE, STAT, GRAPH, Macro and SQL modules. *Proven clinical research and development programming experience (including working to CDISC standards, SDTM and ADaM) and the ability to work effectively within a globally dispersed team. For this position, Knowledge of the following is needed: *Computer programming, preferably SAS or other procedural languages *Understanding of computer operating systems, UNIX preferred *Fundamentals of Project Planning and Management *Drug Development Process & Operations For more information or to apply for the Senior Associate Biostatical Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98875CKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

CK Clinical has been asked by a global biotech company to help them recruit 3 Senior Associate, Biostatical Programmers to join their team on a permanent basis.

 

With supervision, your main responsibility will be to write, test and validate software programs to support the analysis and presentation of biomedical data ensuring quality and accuracy of programming deliverables and adherence to the company's Policies, SOPs and other controlled documents.

 

The key responsibilities of the Senior Associate Biostatical Programmer are to:

• Assist in the review of key study-related documents produced by other functions, e.g. case report form, data management plan, NONMEM specifications

•Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications

•Understand and execute department-, product- and study-level macros and utilities

•Write, test and validate product- and study-level macros and utilities

•Assist with study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings

•Provide input to and participate in intra-departmental and GBDS meetings

•Contribute to the continuous improvement of Global Biomedical Data Sciences (GBDS) and programming

•Assist in the review of GBDS policies, standard operating procedures and other controlled documents

•Provide support to and mentor more junior programmers

•Interface with outsourcing partners and vendors

•Attend external professional organizations, conferences, training and/or meetings

 

As a Senior Associate Biostatical Programmer, the following  basic qualifications, skills and experience are required:

·Bachelors degree

·General clinical research and development programming experience

·Statistical programming  experience in SAS within the drug development setting using the SAS System version 9.1.3 or higher

 

As a Senior Associate Biostatical Programmer, the following  preferred qualifications, skills and experience are required:

·Bachelors or Masters degree, in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject

·General clinical research and development programming experience

·Drug Development (pre-, early, late and/or observational) in related industries or academic research

·SAS programming expertise in the BASE, STAT, GRAPH, Macro and SQL modules.

·Proven clinical research and development programming experience (including working to CDISC standards, SDTM and ADaM) and the ability to work effectively within a globally dispersed team.

 

For this position, Knowledge of the following is needed:

·Computer programming, preferably SAS or other procedural languages

·Understanding of computer operating systems, UNIX preferred

·Fundamentals of Project Planning and Management

·Drug Development Process & Operations

 

For more information or to apply for the Senior Associate Biostatical Programmer role, please contact Jessica Todd on 01438 842976 or email [log in to unmask]

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

 

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).

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98875CKASBS2011CKAloca_-- ========================================================================Date: Wed, 12 Dec 2012 10:38:20 +0000 Reply-To: Jessica Todd <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jessica Todd <[log in to unmask]> Subject: CK Clinical - JOB- Biostatistical Programming Manager UK Biotech Content-Type: multipart/alternative; boundary="_000_EA544679B7EF44408966CBCE8ED49056A98888CKASBS2011CKAloca_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_EA544679B7EF44408966CBCE8ED49056A98888CKASBS2011CKAloca_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear ALLSTAT, CK Clinical has been asked by a global biotech company to help them recruit 5 Biostatical Programming Managers to join their team on a permanent basis. The Bio-statistical Programming Manager will work in the company's Global Statistical Programming organization and function as the study lead programmer, setting up the study-level programming environment, project managing programming activities while ensuring compliance to timelines and standards. The successful candidate will have line management responsibility for a small team and provide direction, mentoring and coaching to junior staff and be actively involved in shaping the standards, policies and improvement initiatives. The key responsibilities of the Senior Associate Biostatical Programmer are to: *Function as study lead programmer: - set up the study-level programming environment - project-manage programming activities on the study, ensuring quality and timeliness - ensure all programming activities on the study adhere to required standards - represent GSP and provide input to multidisciplinary team and department meetings *Create, or review and approve, programming specifications and plans at the study level *Review and approve key study-related documents produced by other functions, such as case report forms, data management plan, and statistical analysis plan *Write and validate SAS programs to produce permanent datasets and presentation-ready output, to be included in reports for submission to regulatory agencies, publications and other communications *Understand and execute department, product, and study-level macros and utilities *Write and validate study and product-level macros and utilities *Assist with study and systems audits by Global Compliance Auditing (GCA) and external bodies, and respond to audit questions and findings *Participate in or lead technical programming and process improvement initiatives within and across functions *Participate in the development and review of GBDS policies, manuals, standard operating procedures, and other controlled documents *May manage and develop a small number of programming staff *Provide support to and mentor more junior programmers *Participate in the recruitment of GSP staff and contractors *Promote and communicate awareness of biostatistical programming and the role of the GSP department in internal and external professional organizations, conferences, training, or meetings As a Biostatical Programming Manager, the following basic qualifications, skills and experience are required: *Master's degree or Bachelor's degree & significant directly related post-grad experience Previous managerial experience directly managing people and/or experience leading teams, projects, programs or directing the allocation of resources As a Biostatical Programming Manager, the following preferred qualifications, skills and experience are required: *Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject *Significant clinical research and development programming experience *Drug Development (pre-, early, late and/or observational) in related industries *Project planning *Process improvement participation Team participation and effectiveness For this position, Knowledge of the following is needed: *Biostatistical programming using the SAS System version 9.1.3 or higher *Understanding of computer operating systems, including UNIX preferred *Project planning and management *Drug development process & operations *Experience of working within a global team For more information or to apply for the Biostatical Programming Manager role, please contact Jessica Todd on 01438 842976 or email [log in to unmask] Jessica Todd BA Trainee Consultant - Biometrics CK Clinical Limited 9 High Street Stevenage SG1 3BG DD: 01438 842976 T: 01438 743047 F: 01438 723800 W: www.ckclinical.co.uk / www.ckmedics.com 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). You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98888CKASBS2011CKAloca_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Dear ALLSTAT,

 

CK Clinical has been asked by a global biotech company to help them recruit 5 Biostatical Programming Managers to join their team on a permanent basis.

 

The Bio-statistical Programming Manager will work in the company's Global Statistical Programming organization and function as the study lead programmer, setting up the study-level programming environment, project managing programming activities while ensuring compliance to timelines and standards.

 

The successful candidate will have line management responsibility for a small team and provide direction, mentoring and coaching to junior staff and be actively involved in shaping the standards, policies and improvement initiatives.

 

The key responsibilities of the Senior Associate Biostatical Programmer are to:

•Function as study lead programmer:

- set up the study-level programming environment

- project-manage programming activities on the study, ensuring quality and timeliness

- ensure all programming activities on the study adhere to required standards

- represent GSP and provide input to multidisciplinary team and department meetings

 

•Create, or review and approve, programming specifications and plans at the study level

•Review and approve key study-related documents produced by other functions, such as case report forms, data management plan, and statistical analysis plan

•Write and validate SAS programs to produce permanent datasets and presentation-ready output, to be included in reports for submission to regulatory agencies, publications and other communications

•Understand and execute department, product, and study-level macros and utilities

•Write and validate study and product-level macros and utilities

•Assist with study and systems audits by Global Compliance Auditing (GCA) and external bodies, and respond to audit questions and findings

•Participate in or lead technical programming and process improvement initiatives within and across functions

•Participate in the development and review of GBDS policies, manuals, standard operating procedures, and other controlled documents

•May manage and develop a small number of programming staff

•Provide support to and mentor more junior programmers

•Participate in the recruitment of GSP staff and contractors

•Promote and communicate awareness of biostatistical programming and the role of the GSP department in internal and external professional organizations, conferences, training, or meetings

 

As a Biostatical Programming Manager, the following  basic qualifications, skills and experience are required:

•Master's degree or Bachelor's degree & significant directly related post-grad experience

 

Previous managerial experience directly managing people and/or experience leading teams, projects, programs or directing the allocation of resources

 

As a Biostatical Programming Manager, the following  preferred qualifications, skills and experience are required:

•Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject

•Significant clinical research and development programming experience

•Drug Development (pre-, early, late and/or observational) in related industries

•Project planning

•Process improvement participation

Team participation and effectiveness

 

For this position, Knowledge of the following is needed:

•Biostatistical programming using the SAS System version 9.1.3 or higher

•Understanding of computer operating systems, including UNIX preferred

•Project planning and management

•Drug development process & operations

•Experience of working within a global team

 

For more information or to apply for the Biostatical Programming Manager role, please contact Jessica Todd on 01438 842976 or email [log in to unmask]

 

Jessica Todd BA
Trainee Consultant - Biometrics
CK Clinical Limited
9 High Street
Stevenage
SG1 3BG
DD: 01438 842976
T: 01438 743047
F: 01438 723800
W: www.ckclinical.co.uk / www.ckmedics.com

 

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).

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_EA544679B7EF44408966CBCE8ED49056A98888CKASBS2011CKAloca_-- ========================================================================Date: Wed, 12 Dec 2012 10:38:08 -0000 Reply-To: Dr George Chryssochoidis <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dr George Chryssochoidis <[log in to unmask]> Subject: JOB(S): Full or Part-Time-Senior Research Associate(s) - Behaviour/ Individuals' Decision-Making - Analysis &/ Impact-Dissemination MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_0065_01CDD854.C77839D0" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_0065_01CDD854.C77839D0 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable The Norwich Business School at the University of East Anglia has advertised for one or more Senior Research Associate positions. See http://www.uea.ac.uk/hr/jobs/ra/ra905.htm The duties of this (theses) post(s) fall into two distinct parts the post holder(s) will: a) analyse, write up reports and publish from a quantitative survey & discrete choice experiment on individuals’ decision-making, behaviours, psychological/other antecedents and / or, b) build impact for academia, public policy, industry using the results of the study The project to work on is: Optimising Value Propositions for Energy Efficient Renovations The aim of this project is to assess the acceptability to UK homeowners of alternative value propositions for energy efficient home renovations in the Green Deal-enabled market, and to identify the optimal value propositions for accelerating the diffusion of efficiency measures through the UK housing stock. See: http://www.ukerc.ac.uk/support/tiki-index.php?page=RF3LEnergyEfficientHomeRenovations Person Specification The person specification for this post is available in the specifications appendix (see the above UEA link). Salary Salary will be £30,122 to £35,938 per annum (pro rata for part-time) on the single salary spine. The normal expectation is that starting salary will be at the minimum of the advertised salary scale. Starting Date This post is available on a fixed term basis from 28 January 2013 until 30 September 2013 preferably on a full time basis. Part time applications will be considered and applicants should state their preferred working pattern clearly when applying. For more information you can also contact Dr G. Chryssochoidis at [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0065_01CDD854.C77839D0 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable

The Norwich Business School at the University of East Anglia has advertised for one or more Senior Research Associate positions. See

 

http://www.uea.ac.uk/hr/jobs/ra/ra905.htm

 

The duties of this (theses) post(s) fall into two distinct parts the post holder(s) will:

 

a)    analyse, write up reports and publish from a quantitative survey & discrete choice experiment on individuals’ decision-making, behaviours, psychological/other antecedents

      and / or,

b)    build impact for academia, public policy, industry using the results of the study

 

The project to work on is:  Optimising Value Propositions for Energy Efficient Renovations

The aim of this project is to assess the acceptability to UK homeowners of alternative value propositions for energy efficient home renovations in the Green Deal-enabled market, and to identify the optimal value propositions for accelerating the diffusion of efficiency measures through the UK housing stock.

See: http://www.ukerc.ac.uk/support/tiki-index.php?page=RF3LEnergyEfficientHomeRenovations

 

 

Person Specification

The person specification for this post is available in the specifications appendix (see the above UEA link).

 

Salary

Salary will be £30,122 to £35,938 per annum (pro rata for part-time) on the single salary spine. The normal expectation is that starting salary will be at the minimum of the advertised salary scale.

 

Starting Date

This post is available on a fixed term basis from 28 January 2013 until 30 September 2013 preferably on a full time basis. Part time applications will be considered and applicants should state their preferred working pattern clearly when applying.

 

For more information you can also contact Dr G. Chryssochoidis at [log in to unmask]

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_0065_01CDD854.C77839D0-- ========================================================================Date: Wed, 12 Dec 2012 12:14:03 +0000 Reply-To: "Kells, Richard" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Kells, Richard" <[log in to unmask]> Subject: COURSE: SPSS Intermediate and Data Management courses at Imperial College Content-Type: multipart/alternative; boundary="_000_82CDED4F9ADC454684252C0CE48052532FD7DB21icexchm5icacuk_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_82CDED4F9ADC454684252C0CE48052532FD7DB21icexchm5icacuk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable We still have places available on next month's Data Management and Intermediate SPSS courses... _______________________________________________ Data Management & Statistical Analysis Using SPSS * Tue 15 & Wed 16 January 2013 (10.00-17.00) Weblink: http://www3.imperial.ac.uk/stathelp/courses/spsscourses/datamanagementspss _______________________________________________ Intermediate Statistics Using SPSS * Tue 22 & Wed 23 January 2013 (10.00-17.00) Weblink: http://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. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_82CDED4F9ADC454684252C0CE48052532FD7DB21icexchm5icacuk_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

We still have places available on next month’s Data Management and Intermediate SPSS courses...

_______________________________________________

Data Management & Statistical Analysis Using SPSS

·         Tue 15 & Wed 16 January 2013 (10.00-17.00)

Weblink: http://www3.imperial.ac.uk/stathelp/courses/spsscourses/datamanagementspss

_______________________________________________

Intermediate Statistics Using SPSS

·         Tue 22 & Wed 23 January 2013 (10.00-17.00)

Weblink: http://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.

 

 

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

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Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Prof Thierry Chaussalet <[log in to unmask]> Subject: Research Associate in Health and Social Care Analytics - University of Westminster, London Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Research Associate in Health and Social Care Analytics Fixed term contract 14 months F-T or P-T pro-rata (e.g. 28 months for 0.5 fractional post) Health and Social Care Modelling Group Department of Business Information Systems Starting salary: £31,857 p.a. pro rata (incl. L.W.A.) Central London The Health and Social Care Modelling Group (HSCMG), based in the Department of Business Information Systems, is looking for a research fellow to provide support to research, consultancy and knowledge transfer activities undertaken (HSCMG) and occasionally to support other postgraduate teaching or professional training related activities of the department. The post holder will be an active junior researcher with interest and experience in areas of statistics, operational research, and/or data mining that are relevant to health care and of interest to HSCMG. S/he will be expected to have some publication record or at least show strong potential. A good honours degree and preferably a higher degree in a relevant quantitative area are required, including Mathematics, Physics, Statistics, Operational Research, Computer Science, Economics, and Engineering. Note that those studying full-time towards a PhD degree would be considered for the post on a fractional (0.5) basis. For an informal discussion regarding this post, please contact the Health and Social Care Modelling Group leader, Prof. Thierry Chaussalet (Tel: 020 3506 4575; [log in to unmask]). Job reference number: 50013141 Closing Date: Tuesday 22 JANUARY 2013; Interviews: likely to be 8 February 2013. Candidates should apply via our website at http://www.westminster.ac.uk/about-us/careers-westminster/vacancies. A full job description and an online application form can be found under the reference number: 50013141. Administrative contact (for queries only): [log in to unmask] Please note: We are unable to accept any applications by email. All applications must be made online. CVs in isolation or incomplete application forms will also not be accepted. Embracing Diversity and Promoting Equality 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: Wed, 12 Dec 2012 16:15:26 +0000 Reply-To: Kaisa Puustinen <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kaisa Puustinen <[log in to unmask]> Subject: Call for Methodological Innovation Projects Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> CALL FOR METHODOLOGICAL INNOVATION PROJECTS - please circulate widely As a complement to the research programme being undertaken by the National Centre for Research Methods (NCRM) through its Hub and Nodes, the Centre wishes to commission between 8 to 10 short-term methodological research and development projects to run between 1 April 2013 and 30 September 2014. Funding of up to £160k (ESRC contribution); £200k (fEC) is available per project. The focus of these projects will be on topic areas that have been identified as representing important gaps in existing national coverage, they are as follows: - Survey methods; - Administrative/linked data - Qualitative longitudinal methods; - Social media analysis; - Methods which exploit potential synergies at the boundaries of the arts, humanities and social sciences; - Biosocial data methods. For further information and to apply please go to http://www.ncrm.ac.uk/news/show.php?article=5307 The deadline for applications is 4pm on 23 January 2013. Keep up-to-date about social science research methods. Subscribe to the National Centre for Research Methods Ebulletin and MethodsNews newsletter at http://www.ncrm.ac.uk/news/subscribe/ ------------------------------------------------------------------------ Kaisa Puustinen Communications Manager National Centre for Research Methods Social Sciences University of Southampton Tel. 023 8059 7473 Email. [log in to unmask] Web. www.ncrm.ac.uk Twitter. http://twitter.com/NCRMUK 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: Wed, 12 Dec 2012 16:26:46 +0000 Reply-To: Katarina Fors <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Katarina Fors <[log in to unmask]> Subject: COVANCE-GRADUATE STATISTICIAN LEEDS Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> STATISTICIAN 1 COVANCE is a leading global drug development services company and we provide support to the Pharmaceutical and Biotechnology industries. Covance is looking to expand its statistics department further in Leeds by adding a graduate statistician. The successful applicant will join our large experienced team working on a variety of projects in Phase I and II clinical trials. Initially the applicant will be working under the guidance of a senior statistician and will eventually be responsible for their own projects. Full training and support will be provided when you join Covance. The position is located in central Leeds close to the rail station with quick access to the Dales. Other responsibilities and duties may include: About the Job • Preparation of Statistical Analysis Plans • Perform QC of data displays for secondary efficacy and safety variables. • Statistical analysis of clinical trial data using basic methodology • Preparation of sections of statistical reports and Clinical Study Reports • Perform sample size calculations under the supervision of senior statistical staff. About You • An MSc in a statistics subject, preferably with a strong medical statistics component • Interpersonal and effective communication skills. • Self-motivation. • Recognition of the importance of timelines within projects. • Proficiency in data-handling and analysis software – preferably SAS. 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 then apply directly to [log in to unmask] 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: Wed, 12 Dec 2012 16:42:40 +0000 Reply-To: "Warburton, Fiona" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Warburton, Fiona" <[log in to unmask]> Subject: JOB: Post-Doc Researcher, Promoting Early Presentation Group, Kings College London Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> The Promoting Early Presentation Group at KCL has a vacancy for a Post Doctoral Research Worker. The post holder will coordinate a research project (Cancer diagnosis in the acute setting) aiming to understand the pathways to diagnosis among people diagnosed with lung and bowel cancer as an emergency across six acute hospitals within South and West London. This will inform policy to reduce the proportion of people diagnosed with lung and bowel cancer as an emergency rather than through primary care. The post holder should have a PhD in a relevant health science field with excellent knowledge of NHS and patient pathways through the NHS including knowledge of routine data sources used in health care, e.g. Hospital Episode Statistics data, primary care data, National Cancer Intelligence Network data. The post holder should have a good understanding of policy context around early diagnosis and significant experience of quantitative study design and analysis in a relevant field The post holder should be self-motivated and pro-active with a proven ability to manage a complex workload and prioritise appropriately Salary range of £31,020- £37,012 per annum, plus £2,323 London allowance per annum 27 days annual leave ticket loan scheme For project related queries please email [log in to unmask] and [log in to unmask] For administrative queries please email [log in to unmask] For further information and details of how to apply please follow the following link: http://www.kcl.ac.uk/depsta/pertra/vacancy/external/apply.php?id=16843306 Mrs Fiona Warburton Senior Statistician King's College London Promoting Early Presentation Group 9th Floor Capital House 42 Weston Street London SE1 3QD email:[log in to unmask] 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: Wed, 12 Dec 2012 19:29:43 +0100 Reply-To: Peter Jacko <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Peter Jacko <[log in to unmask]> Subject: BCAM Postdoctoral Fellowship in Stochastic Networks In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryè9a8f2346657ae90404d0abfb2c Message-ID: <[log in to unmask]> --e89a8f2346657ae90404d0abfb2c Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable Postdoctoral Fellowship in Stochastic Networks BCAM – Basque Center for Applied Mathematics has opened an International Call offering a position for Postdoctoral Fellows in the area of Stochastic Networks, within Networks group and funded by SAIOTEK program (Basque Government). Applications must be submitted on-line at: *http://www.bcamath.org/en/research/job* Deadline for submission: January 7th 2013 We kindly ask you to distribute this call among colleagues and potential candidates. Please do not hesitate to contact us for any additional information: [log in to unmask] -- ------------------------------------- Peter Jacko BCAM - Basque Center for Applied Mathematics Mazarredo, 14 48009 Bilbao (Basque Country) Spain [log in to unmask] | www.bcamath.org/jacko/ ------------------------------------- Permanent webpage: www.strom.sk/~pj -- ------------------------------------- Peter Jacko BCAM - Basque Center for Applied Mathematics Mazarredo, 14 48009 Bilbao (Basque Country) Spain [log in to unmask] | www.bcamath.org/jacko/ ------------------------------------- Permanent webpage: www.strom.sk/~pj You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --e89a8f2346657ae90404d0abfb2c Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: quoted-printable

Postdoctoral Fellowship in Stochastic Networks

BCAM – Basque Center for Applied Mathematics has opened an International Call offering a position for Postdoctoral Fellows in the area of Stochastic Networks, within Networks group and funded by SAIOTEK program (Basque Government).

Applications must be submitted on-line at:

http://www.bcamath.org/en/research/job

Deadline for submission: January 7th 2013

We kindly ask you to distribute this call among colleagues and potential candidates. Please do not hesitate to contact us for any additional information: [log in to unmask]


--
------------------------------------- 
Peter Jacko

BCAM - Basque Center for Applied Mathematics
Mazarredo, 14
48009 Bilbao (Basque Country)
Spain

[log in to unmask] | www.bcamath.org/jacko/
-------------------------------------
Permanent webpage: www.strom.sk/~pj




--
------------------------------------- 
Peter Jacko
BCAM - Basque Center for Applied Mathematics
Mazarredo, 14
48009 Bilbao (Basque Country)
Spain

[log in to unmask] | www.bcamath.org/jacko/
-------------------------------------
Permanent webpage: www.strom.sk/~pj

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --e89a8f2346657ae90404d0abfb2c-- ========================================================================Date: Wed, 12 Dec 2012 21:52:20 +0000 Reply-To: Murad Moqbel <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Murad Moqbel <[log in to unmask]> Subject: Two-Day Hands-On Workshop on WarpPLS: SEM Fundamentals with Linear and Nonlinear Applications Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Structural equation modeling (SEM), or path analysis with latent variables, is one of the most general and comprehensive statistical analysis methods. Path analysis, multiple regression, ANCOVA, ANOVA and other widely used statistical analysis methods can be seen as special cases of SEM. WarpPLS is a very user-friendly and powerful software tool that can be used for SEM, arguably being the first of its kind to implement linear and nonlinear algorithms. This software provides one of the most extensive sets of SEM outputs; among other things it is the first of its kind to automatically calculate indirect and total effects and respective P values, as well as to calculate full collinearity estimates. This SEM fundamentals workshop (details below) is designed to be useful to beginners and intermediate SEM practitioners. Among possible participants are those who are interested in: (a) being productive co-authors or research collaborators, even if not doing SEM analyses themselves; (b) conducting basic SEM analyses occasionally in the future; (c) conducting SEM analyses of intermediate complexity on a regular basis. *** Registration and additional details *** http://bit.ly/X0IHMP or http://scriptwarp.com/warppls/prjs/2013_WarpPLSwkshp_Jan_SanAntonio *** Instructor *** Ned Kock, Ph.D. WarpPLS Developer http://nedkock.com *** Location and dates *** Our Lady of the Lake University San Antonio, Texas 11-12 January 2013 (Fri-Sat), 8 am–5 pm *** Workshop program at a glance *** The main goal of this workshop is to give participants a practical understanding of how to use the software WarpPLS to conduct variance-based SEM. The workshop is very hands-on and covers linear and nonlinear applications. Day 1 of workshop • Overview of workshop and formation of teams • Overview of web resources: Video clips, blog, publications, spreadsheets, and templates • Overview of steps 1 to 5 of a complete SEM analysis • Hands-on exercise: Complete SEM analysis • Resampling as shuffling multiple decks of cards • Choosing the right resampling method • Hands-on exercise: Resampling options • Choosing the right warping (i.e., nonlinear) algorithm • Viewing and interpreting plots of linear and nonlinear relationships • Hands-on exercise: Linear and nonlinear relationships • Charting non-standardized data • Reporting results in non-standardized terms • Hands-on exercise: Standardized to non-standardized results • Reading discussion: WarpPLS User Manual Day 2 of workshop • Classical tests of mediating effects – Baron & Kenny and Preacher & Hayes • Using indirect and total effect outputs to test mediating effects • Hands-on exercise: Indirect/mediating and total effects • Reading discussion: Kock & Verville’s free questionnaire data article • Testing a moderating effect • Double, triple etc. moderation • Hands-on exercise: Moderating effects • Adding control variables into an analysis • Using second-, third- etc. order latent variables • Conducting a multi-group analysis • Hands-on exercise: Multi-group analysis • Reading discussion: Kock & Lynn’s lateral collinearity article • Conducting a full collinearity test • Hands-on exercise: Team project using participant’s own data • Presentation of results from team project 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: Wed, 12 Dec 2012 15:57:32 -0600 Reply-To: Murad Moqbel <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Murad Moqbel <[log in to unmask]> Subject: Two-Day Hands-On Workshop on WarpPLS: SEM Fundamentals with Linear and Nonlinear Applications MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryè9a8f6436f8b2211704d0aee236 Message-ID: <[log in to unmask]> --e89a8f6436f8b2211704d0aee236 Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable *** Two-Day Hands-On Workshop on WarpPLS: SEM Fundamentals with Linear and Nonlinear Applications ******* ** ** Structural equation modeling (SEM), or path analysis with latent variables, is one of the most general and comprehensive statistical analysis methods. Path analysis, multiple regression, ANCOVA, ANOVA and other widely used statistical analysis methods can be seen as special cases of SEM.**** ** ** WarpPLS is a very user-friendly and powerful software tool that can be used for SEM, arguably being the first of its kind to implement linear and nonlinear algorithms. This software provides one of the most extensive sets of SEM outputs; among other things it is the first of its kind to automatically calculate indirect and total effects and respective P values, as well as to calculate full collinearity estimates.**** ** ** This SEM fundamentals workshop (details below) is designed to be useful to beginners and intermediate SEM practitioners. Among possible participants are those who are interested in: (a) being productive co-authors or research collaborators, even if not doing SEM analyses themselves; (b) conducting basic SEM analyses occasionally in the future; (c) conducting SEM analyses of intermediate complexity on a regular basis.**** ** ** *** Registration and additional details ******* ** ** http://bit.ly/X0IHMP**** ** ** or**** ** ** http://scriptwarp.com/warppls/prjs/2013_WarpPLSwkshp_Jan_SanAntonio**** ** ** *** Instructor ******* ** ** Ned Kock, Ph.D.**** WarpPLS Developer**** http://nedkock.com**** ** ** *** Location and dates ******* ** ** Our Lady of the Lake University**** San Antonio, Texas**** 11-12 January 2013 (Fri-Sat), 8 am–5 pm**** ** ** *** Workshop program at a glance ******* ** ** The main goal of this workshop is to give participants a practical understanding of how to use the software WarpPLS to conduct variance-based SEM. The workshop is very hands-on and covers linear and nonlinear applications.**** ** ** Day 1 of workshop**** • Overview of workshop and formation of teams**** • Overview of web resources: Video clips, blog, publications, spreadsheets, and templates**** • Overview of steps 1 to 5 of a complete SEM analysis**** • Hands-on exercise: Complete SEM analysis**** • Resampling as shuffling multiple decks of cards**** • Choosing the right resampling method**** • Hands-on exercise: Resampling options**** • Choosing the right warping (i.e., nonlinear) algorithm**** • Viewing and interpreting plots of linear and nonlinear relationships**** • Hands-on exercise: Linear and nonlinear relationships**** • Charting non-standardized data**** • Reporting results in non-standardized terms**** • Hands-on exercise: Standardized to non-standardized results*** * • Reading discussion: WarpPLS User Manual**** ** ** Day 2 of workshop**** • Classical tests of mediating effects – Baron & Kenny and Preacher & Hayes**** • Using indirect and total effect outputs to test mediating effects**** • Hands-on exercise: Indirect/mediating and total effects**** • Reading discussion: Kock & Verville’s free questionnaire data article**** • Testing a moderating effect**** • Double, triple etc. moderation**** • Hands-on exercise: Moderating effects**** • Adding control variables into an analysis**** • Using second-, third- etc. order latent variables**** • Conducting a multi-group analysis**** • Hands-on exercise: Multi-group analysis**** • Reading discussion: Kock & Lynn’s lateral collinearity article **** • Conducting a full collinearity test**** • Hands-on exercise: Team project using participant’s own data** ** • Presentation of results from team project -- Murad Moqbel Computer Information Systems and Security Department Our Lady of the Lake University 411 S.W. 24th St. Main 302A San Antonio, TX 78207 Tel: (620) 340-0888 Email: [log in to unmask] CURRICULUM VITAE You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --e89a8f6436f8b2211704d0aee236 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: quoted-printable

*** Two-Day Hands-On Workshop on WarpPLS: SEM Fundamentals with Linear and Nonlinear Applications ***

 

Structural equation modeling (SEM), or path analysis with latent variables, is one of the most general and comprehensive statistical analysis methods. Path analysis, multiple regression, ANCOVA, ANOVA and other widely used statistical analysis methods can be seen as special cases of SEM.

 

WarpPLS is a very user-friendly and powerful software tool that can be used for SEM, arguably being the first of its kind to implement linear and nonlinear algorithms. This software provides one of the most extensive sets of SEM outputs; among other things it is the first of its kind to automatically calculate indirect and total effects and respective P values, as well as to calculate full collinearity estimates.

 

This SEM fundamentals workshop (details below) is designed to be useful to beginners and intermediate SEM practitioners. Among possible participants are those who are interested in: (a) being productive co-authors or research collaborators, even if not doing SEM analyses themselves; (b) conducting basic SEM analyses occasionally in the future; (c) conducting SEM analyses of intermediate complexity on a regular basis.

 

*** Registration and additional details ***

 

http://bit.ly/X0IHMP

 

or

 

http://scriptwarp.com/warppls/prjs/2013_WarpPLSwkshp_Jan_SanAntonio

 

*** Instructor ***

 

Ned Kock, Ph.D.

WarpPLS Developer

http://nedkock.com

 

*** Location and dates ***

 

Our Lady of the Lake University

San Antonio, Texas

11-12 January 2013 (Fri-Sat), 8 am–5 pm

 

*** Workshop program at a glance ***

 

The main goal of this workshop is to give participants a practical understanding of how to use the software WarpPLS to conduct variance-based SEM. The workshop is very hands-on and covers linear and nonlinear applications.

 

Day 1 of workshop

•             Overview of workshop and formation of teams

•             Overview of web resources: Video clips, blog, publications, spreadsheets, and templates

•             Overview of steps 1 to 5 of a complete SEM analysis

•             Hands-on exercise: Complete SEM analysis

•             Resampling as shuffling multiple decks of cards

•             Choosing the right resampling method

•             Hands-on exercise: Resampling options

•             Choosing the right warping (i.e., nonlinear) algorithm

•             Viewing and interpreting plots of linear and nonlinear relationships

•             Hands-on exercise: Linear and nonlinear relationships

•             Charting non-standardized data

•             Reporting results in non-standardized terms

•             Hands-on exercise: Standardized to non-standardized results

•             Reading discussion: WarpPLS User Manual

 

Day 2 of workshop

•             Classical tests of mediating effects – Baron & Kenny and Preacher & Hayes

•             Using indirect and total effect outputs to test mediating effects

•             Hands-on exercise: Indirect/mediating and total effects

•             Reading discussion: Kock & Verville’s free questionnaire data article

•             Testing a moderating effect

•             Double, triple etc. moderation

•             Hands-on exercise: Moderating effects

•             Adding control variables into an analysis

•             Using second-, third- etc. order latent variables

•             Conducting a multi-group analysis

•             Hands-on exercise: Multi-group analysis

•             Reading discussion: Kock & Lynn’s lateral collinearity article

•             Conducting a full collinearity test

•             Hands-on exercise: Team project using participant’s own data

•             Presentation of results from team project


--
Murad Moqbel
Computer Information Systems and Security Department
Our Lady of the Lake University
411 S.W. 24th St. Main 302A
San Antonio, TX 78207
Tel: (620) 340-0888
Email: [log in to unmask]
CURRICULUM VITAE
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --e89a8f6436f8b2211704d0aee236-- ========================================================================Date: Thu, 13 Dec 2012 09:09:38 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: Senior SAS Consultant Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011DFC38HRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011DFC38HRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 R29vZCBtb3JuaW5nIEFsbHN0YXQsCgpQbGVhc2UgZmluZCBiZWxvdyBvdXIgbGF0ZXN0IHBlcm1h bmVudCBTQVMgdmFjYW5jeSBmb3IgdGhlIFVLIGFuZCBhIGJyaWVmIGpvYiBkZXNjcmlwdGlvbiB3 b3JraW5nIHdpdGggYSB0b3AgU0FTIEJ1c2luZXNzIEludGVsbGlnZW5jZSBjb21wYW55LgoKU0VO 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Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Introductory Course in Epidemiology and Biostatistics, Warsaw, Poland: 2nd-5th July 2013 This course is intended for persons new to epidemiological methods and focuses on four areas: Disease measurement; Epidemiological study design; Basic statistical analysis as applied to epidemiological research; Understanding epidemiological literature. Each session will involve a lecture but emphasis is placed on practical exercises and group work for solving problems. This course will involve hands-on statistical analysis sessions in a computer lab. The course is run by faculty from The University of Aberdeen (UK) in collaboration with the Higher School of Universal Education and Health Promotion Foundation, Warsaw (Poland) Cost: £700 (if booked by 30th April 2013) which includes all course materials, accommodation and most meals. There are a small number of partial bursaries available. Further information: see www.abdn.ac.uk/epidemiology The University of Aberdeen is a charity registered in Scotland, No SC013683. 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: Thu, 13 Dec 2012 10:22:11 +0000 Reply-To: Chris Metcalfe <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Chris Metcalfe <[log in to unmask]> Subject: JOB: NIHR Research Fellowships at Bristol University Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Two NIHR Research Methods Fellowships at the University of Bristol These NIHR Fellowships provide an exciting opportunity for two highly able graduates to start a career in health research, undergoing two years of research training in the application of statistical methods to the conduct of clinical research and the analysis of the resulting data. For both posts a good honours degree (2.1 or higher) or equivalent with a substantial mathematical or statistical content is required. The successful applicants will be self-motivated, clear communicators, and able to demonstrate their enthusiasm for applying mathematical ideas to real world problems. The fellows will develop their knowledge and skills by attending formal postgraduate level training, and by making an important contribution to the work of their supervisors’ research groups. FELLOWSHIP 1. Supervisors: Prof Tim Peters, Dr Chris Metcalfe, Prof William Hollingworth (JOB REF ACAD100134) This fellow will work within the multi-disciplinary environment at the School of Social and Community Medicine, University of Bristol. The School has an outstanding track record in epidemiological and health services research, and provides a stimulating environment in which junior research staff thrive. The fellow will be supervised in a programme of several interconnected projects aimed at establishing appropriate methods of estimating cost-effectiveness in RCTs when adherence to allocated treatment is incomplete. Projects will include a systematic review of the methods currently used in published research studies, and an evaluation of whether these methods are giving unbiased estimates of cost-effectiveness. Underpinning this work, the fellow will attend postgraduate short courses on relevant topics such as statistical analysis, use of statistical software, systematic review methods, collection and analysis of health economic data, and randomised controlled trial conduct and analysis. Contact: Dr Chris Metcalfe School of Social and Community Medicine [log in to unmask] 0117 928 7326 Grade: Level a in Pathway 2 Salary: £30,122 to £34,895 FELLOWSHIP 2. Supervisors: Prof Gianni Angelini, Dr Chris Rogers (JOB REF ACAD100133) This fellow will be based within the Clinical Trials and Evaluation Unit, Bristol Heart Institute, University of Bristol, part of the School of Clinical Sciences. The Institute has an outstanding track record in early phase translational cardiovascular research, facilitated by the NIHR Bristol Cardiovascular Biomedical Research Unit (BRU) and the Clinical Trials and Evaluation Unit is core to the design and delivery of the clinical research. The design of cardiovascular studies and the data arising from them present many methodological challenges. The fellow will receive advanced training in clinical trial design and medical statistics and will undertake projects, drawn primarily from the portfolio of the BRU. The projects will be chosen by the fellow in in conjunction with the supervisors, to provide the best range of experience. Examples include (i) optimising analyses of longitudinal biomarker data taking account of data missing at random and missing because concentrations are outside the range of the assay and (ii) optimising the analyses of multiple outcome parameters available from cardiac magnetic resonance imaging. Underpinning this work, the fellow will attend postgraduate short courses on relevant topics such as statistical analysis of longitudinal data, use of statistical software, systematic review methods, and randomised controlled trial conduct and analysis. Contact: Dr Chris Rogers Clinical Trials and Evaluation Unit School of Clinical Sciences [log in to unmask] 0117 342 2507 Grade: Level a in Pathway 2 Salary: £30,122 to £34,895 FOR BOTH FELLOWSHIPS: Closing date: 2pm, Thursday 3rd January 2013 Interview date: Friday 11th January 2013 Start date: By 31 March 2013; this is a contractual requirement of the funders and cannot be extended. FURTHER DETAILS can be obtained by going to http://www.bristol.ac.uk/jobs/find/index.html and searching by the job reference numbers given above. 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: Thu, 13 Dec 2012 11:50:19 +0000 Reply-To: Karen Grace-Martin <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Karen Grace-Martin <[log in to unmask]> Subject: Upcoming Workshop: Calculating Power and Sample Size Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> The Analysis Factor is happy to announce our next online workshop: Calculating Power and Sample Size http://theanalysisinstitute.com/cpss/ Begins January 11 3-hour workshop/ 2 hours live Q&A Workshop price $147 $50 student discount available In this workshop, you will learn: -You’ll get up to speed on power, sample size, and how to calculate them. -You’ll learn how to calculate sample estimates using two specialized software programs. -You’ll understand the five pieces of information you need to gather before you begin and how to find them. -And we’ll cover in detail the logic and similarities of all sample size estimates, so you will understand the strategies to apply to any new kind of sample size estimate situation. The online lessons contain 3 hours of video material you can watch on your own time, exercises, written handouts and worksheets, and two live Question & Answer Webinar Sessions with the instructor, Karen Grace-Martin. Full, enhanced transcripts of videos are included in the workshop price. Ongoing support is included through membership in the workshop website for a full year. Workshop details are on the registration page: http://theanalysisinstitute.com/cpss/ 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: Thu, 13 Dec 2012 08:16:20 -0600 Reply-To: Lisa Solomon <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Lisa Solomon <[log in to unmask]> Subject: Webinar: Advances in Gradient Boosting: the Power of Post-Processing. TOMORROW, 10-11 a.m., PST Content-Type: multipart/alternative; boundary="_000_2732C804E2DBB04AA90A678D76FAF2CC047E0D57C1DFW1MBX02mex0_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_2732C804E2DBB04AA90A678D76FAF2CC047E0D57C1DFW1MBX02mex0_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Webinar: Advances in Gradient Boosting: the Power of Post-Processing TOMORROW: December 14, 10-11 a.m., PST Webinar Registration: http://2.salford-systems.com/gradientboosting-and-post-processing/ Course Outline: * Gradient Boosting and Post-Processing: o What is missing from Gradient Boosting? o Why post-processing techniques are used? * Applications Benefiting from Post-Processing: Examples from a variety of industries. o Financial Services o Biomedical o Environmental o Manufacturing o Adserving * Typical Post-Processing Steps * Techniques: o Generalized Path Seeker (GPS): modern high-speed LASSO-style regularized regression. o Importance Sampled Learning Ensembles (ISLE): identify and reweight the most influential trees. o Rulefit: ISLE on "steroids." Identify the most influential nodes and rules. * Case Study Example: o Output/Results without Post-Processing o Output/Results with Post-Processing o Demo You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_2732C804E2DBB04AA90A678D76FAF2CC047E0D57C1DFW1MBX02mex0_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable 

Webinar: Advances in Gradient Boosting: the Power of Post-Processing
TOMORROW: December 14, 10-11 a.m., PST
 
Webinar Registration:

http://2.salford-systems.com/gradientboosting-and-post-processing/ 

Course Outline:

·        Gradient Boosting and Post-Processing:

o   What is missing from Gradient Boosting?

o   Why post-processing techniques are used?

·        Applications Benefiting from Post-Processing: Examples from a variety of industries.

o   Financial Services

o   Biomedical

o   Environmental

o   Manufacturing

o   Adserving

·        Typical Post-Processing Steps

·        Techniques:

o   Generalized Path Seeker (GPS): modern high-speed LASSO-style regularized  regression.

o   Importance Sampled Learning Ensembles (ISLE): identify and reweight  the most influential trees.

o   Rulefit: ISLE on “steroids.”  Identify the most influential nodes and rules.

·        Case Study Example:

o   Output/Results without Post-Processing

o   Output/Results with Post-Processing

o   Demo

 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_2732C804E2DBB04AA90A678D76FAF2CC047E0D57C1DFW1MBX02mex0_-- ========================================================================Date: Thu, 13 Dec 2012 14:20:33 +0000 Reply-To: "Bell, Steven" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Bell, Steven" <[log in to unmask]> Subject: PhD studentships in alcohol epidemiology at UCL Comments: To: "Britton, Annie" <[log in to unmask]> Content-Type: multipart/alternative; boundary="_000_52C6FCD39A3E12428BB2C6BE996DD8790FD0FC12DB3PRD0104MB167_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_52C6FCD39A3E12428BB2C6BE996DD8790FD0FC12DB3PRD0104MB167_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Dear All, Apologies for any cross-posting. Please find below details of two-fully funded PhD studentships in alcohol epidemiology at UCL. Please forward this message to any colleagues who you feel may be interested in applying. Best wishes, Steven. European Research Council PhD Studentships in Alcohol Epidemiology - Ref: 1297732 UCL Department: Research Department of Epidemiology and Public Health Duration of Studentship: 3 years Stipend: £18,746 per annum plus UK/EU fees of £4,200 per year Applications are invited for two fully-funded three-year PhD studentships for suitably qualified students to conduct research into the health consequences of alcohol consumption across the life-course using data from existing longitudinal observational cohort studies. The epidemiology of alcohol use and alcohol-related consequences plays a vital role by monitoring populations' alcohol consumption patterns and acute and chronic problems associated with drinking. Such studies aid efforts to explain relationships between these variables by investigating mechanisms linking alcohol consumption to harm and ultimately to reduce the health burden associated with drinking. Research on the health impact of alcohol consumption needs to take consideration of changes in drinking behaviour over the life-course. The current evidence base lacks the consideration of the complexity of lifetime consumption patterns, the major predictors of change in drinking and the subsequent health risks. The scope of the research to be undertaken is broad, and thus there is flexibility to adapt the PhD project to the skills, experience, and interests of the successful candidates. The two PhD studentships are available from September 2013 under the supervision of Dr Annie Britton. Funding covers tuition fees and a student stipend of £18,746. The students will be registered for a PhD in the Research Department of Epidemiology & Public Health, University College London http://www.ucl.ac.uk/epidemiology/. This department has 160 Research staff, plus over 80 PhD students. Research students are well-provided for, with regular peer-led educational meetings and multidisciplinary supervisory panels complementing formal attachment to one of 13 research groups. Person Specification We are seeking highly motivated and organised students with a keen interest in epidemiology. The candidates should have obtained a good degree (equivalent to 2:1 or above), preferably in biomedical or related sciences, and a MSc in epidemiology or another related discipline. Experience in using statistical software such as Stata or SPSS is essential. Knowledge of alcohol public health would be an advantage, as would previous academic publications. Eligibility The studentships are funded by the European Research Council to cover tuition fees at the UK/EU rate and an annual stipend of £18,746. Application Procedure Applicants should send a curriculum vitae and one page personal statement of why you are applying (addressing the criteria in the person specification) and names and contact details of two referees to: [log in to unmask] For informal enquiries regarding the studentship please contact Dr Annie Britton ([log in to unmask]) Contact name: Dr Annie Britton Contact details: [log in to unmask] Closing Date: 5pm Monday 4th Feb 2013 Interview date: Week commencing 11th February 2013 http://www.jobs.ac.uk/job/AFR400/european-research-council-phd-studentships/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_52C6FCD39A3E12428BB2C6BE996DD8790FD0FC12DB3PRD0104MB167_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Dear All,

 

Apologies for any cross-posting.  Please find below details of two-fully funded PhD studentships in alcohol epidemiology at UCL.  Please forward this message to any colleagues who you feel may be interested in applying.

 

Best wishes,

 

Steven.

 

 

European Research Council PhD Studentships in Alcohol Epidemiology - Ref: 1297732 

UCL Department:  Research Department of Epidemiology and Public Health

Duration of Studentship: 3 years

Stipend: £18,746 per annum plus UK/EU fees of £4,200 per year

 

Applications are invited for two fully-funded three-year PhD studentships for suitably qualified students to conduct research into the health consequences of alcohol consumption across the life-course using data from existing longitudinal observational cohort studies.

 

The epidemiology of alcohol use and alcohol-related consequences plays a vital role by monitoring populations’ alcohol consumption patterns and acute and chronic problems associated with drinking. Such studies aid efforts to explain relationships between these variables by investigating mechanisms linking alcohol consumption to harm and ultimately to reduce the health burden associated with drinking. Research on the health impact of alcohol consumption needs to take consideration of changes in drinking behaviour over the life-course. The current evidence base lacks the consideration of the complexity of lifetime consumption patterns, the major predictors of change in drinking and the subsequent health risks.

 

The scope of the research to be undertaken is broad, and thus there is flexibility to adapt the PhD project to the skills, experience, and interests of the successful candidates.

 

The two PhD studentships are available from September 2013 under the supervision of Dr Annie Britton. Funding covers tuition fees and a student stipend of £18,746. The students will be registered for a PhD in the Research Department of Epidemiology & Public Health, University College London  http://www.ucl.ac.uk/epidemiology/. This department has 160 Research staff, plus over 80 PhD students. Research students are well-provided for, with regular peer-led educational meetings and multidisciplinary supervisory panels complementing formal attachment to one of 13 research groups.

 

Person Specification

We are seeking highly motivated and organised students with a keen interest in epidemiology.  The candidates should have obtained a good degree (equivalent to 2:1 or above), preferably in biomedical or related sciences, and a MSc in epidemiology or another related discipline. Experience in using statistical software such as Stata or SPSS is essential. Knowledge of alcohol public health would be an advantage, as would previous academic publications.

 

Eligibility
The studentships are funded by the European Research Council to cover tuition fees at the UK/EU rate and an annual stipend of £18,746.

 

Application Procedure

Applicants should send a curriculum vitae and one page personal statement of why you are applying (addressing the criteria in the person specification) and names and contact details of two referees to: [log in to unmask]

 

For informal enquiries regarding the studentship please contact Dr Annie Britton ([log in to unmask])

 

Contact name: Dr Annie Britton

Contact details: [log in to unmask]

Closing Date: 5pm Monday 4th Feb 2013

Interview date: Week commencing 11th February 2013

 

http://www.jobs.ac.uk/job/AFR400/european-research-council-phd-studentships/

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_52C6FCD39A3E12428BB2C6BE996DD8790FD0FC12DB3PRD0104MB167_-- ========================================================================Date: Thu, 13 Dec 2012 14:56:09 +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: Clinical statistician needed for large pharmaceutical company in central London. 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format=flowed Content-Transfer-Encoding: 7bit SCo2013: Conferencehttp://mox.polimi.it/sco2013/ BarCamphttp://mox.polimi.it/barcamp_sco2013/ Competitionhttp://mox.polimi.it/barcamp_sco2013/ Below is the advert for the Competition, addressed to young statisticians. Please circulate it to PhD students, PostDocs and young researchers. / In honor of the 150th anniversary of Politecnico di Milano A Competition leading to a BarCamp TECHNOLOGY FORESIGHT AND STATISTICS FOR THE FUTURE / We challenge young (< 33 years) statisticians to envision statistical models and methods that will have an impact on the development of technology in the next 25 years, before the 175-th anniversary of Politecnico di Milano. Competitors should submit an essay describing their views on statistics for technology of the future, a description of how they will present their work of science (slides, poster, movie, artifact, etc) and their cv to [log in to unmask] . Group submissions are welcome. Each group will need to nominate a coordinator and only the coordinator's cv has to be submitted. The authors of the 5 best proposals will be invited to participate to the SCo2013 conference where they will receive travel support (up to 500 euros), conference registration and lodging. In the case of a group selection, the financial support will be given to the group coordinator. The winners of the competition will be asked to lead the main stream of the BarCamp, within the SCo2013 meeting, sharing their ideas in progress and stimulating new perspectives on statistics and technology. All other competitors will be invited to present their proposals at the BarCamp. Competition deadline: March 31st, 2013 Notification of winners: April 30th, 2013 Best regards, Piercesare Secchi -- Piercesare Secchi MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci, 32 20133 Milano - Italy tel. +39 02 2399 4592 fax. +39 02 2399 4568 e.mail: [log in to unmask] -- Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email:[log in to unmask] url:http://mox.polimi.it/~sangalli You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --------------020706030903010208050703 Content-Type: text/html; charset=ISO-8859-15 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by polimi.it id qBDFjoHw023537 SCo2013:


Conference    http://mox.polimi.it/sco2013/

BarCamp         http://mox.polimi.it/barcamp_sco2013/

Competition   http://mox.polimi.it/barcamp_sco2013/

 

Below is the advert for the Competition, addressed to young statisticians. Please circulate it to PhD students, PostDocs and young researchers.


In honor of the 150th anniversary of Politecnico di Milano
A Competition leading to a BarCamp
TECHNOLOGY FORESIGHT AND STATISTICS FOR THE FUTURE

We challenge young (< 33 years) statisticians to envision statistical models and methods that will have an impact on the development of technology in the next 25 years, before the 175-th anniversary of Politecnico di Milano.

Competitors should submit an essay describing their views on statistics for technology of the future,  a description of how they will present their work of science (slides, poster, movie, artifact, etc) and their cv to [log in to unmask]. Group submissions are welcome. Each group will need to nominate a coordinator and only the coordinator’s cv has to be submitted.

The authors of the 5 best proposals will be invited to participate to the SCo2013 conference where they will receive travel support (up to 500 euros), conference registration and lodging. In the case of a group selection, the financial support will be given to the group coordinator.

The winners of the competition will be asked to lead the main stream of the BarCamp, within the SCo2013 meeting, sharing their ideas in progress and stimulating new perspectives on statistics and technology. All other competitors will be invited to present their proposals at the BarCamp.

Competition deadline: March 31st, 2013
Notification of winners: April 30th, 2013


Best regards,
Piercesare Secchi

--
Piercesare Secchi
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci, 32
20133 Milano - Italy
tel. +39 02 2399 4592
fax. +39 02 2399 4568
e.mail: [log in to unmask] 


-- 
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: [log in to unmask]
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to [log in to unmask], leaving the subject line blank. --------------020706030903010208050703-- ========================================================================Date: Thu, 13 Dec 2012 11:24:17 -0500 Reply-To: [log in to unmask] Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Deo Ramprakash <[log in to unmask]> Subject: SPSS Complex sampling module MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="--------MB_8CFA7656E8B951C_1DBC_705E_webmail-d072.sysops.aol.com" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. ----------MB_8CFA7656E8B951C_1DBC_705E_webmail-d072.sysops.aol.com Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="us-ascii" Very grateful for (a)_ Purchase of an already used software of SPSS complex samplng module (b) Meet anyone in UK to learn how to use (a). Willing to pay for demonstration email: [log in to unmask] phone: 0208 428 7121 in Harrow, UK You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ----------MB_8CFA7656E8B951C_1DBC_705E_webmail-d072.sysops.aol.com Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"

Very grateful for

(a)_ Purchase of an already used software of SPSS complex samplng module 

(b)  Meet anyone in UK to learn how to use (a).  Willing to pay for demonstration

 
email:  [log in to unmask]          phone:  0208 428 7121 in Harrow, UK
 You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ----------MB_8CFA7656E8B951C_1DBC_705E_webmail-d072.sysops.aol.com-- ========================================================================Date: Thu, 13 Dec 2012 16:35:53 +0000 Reply-To: Mark Gilthorpe <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Mark Gilthorpe <[log in to unmask]> Subject: JOBS: Leeds/Bradford Chair in Epidemiology - Leeds, UK Content-Type: multipart/alternative; boundary="_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE09HERMES9dsle_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE09HERMES9dsle_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable UNIVERSITY OF LEEDS Leeds/Bradford Chair in Epidemiology http://www.universityofleedschairs.co.uk/leeds-bradford-epidemiology.php The Faculty of Medicine and Health at the University of Leeds wishes to appoint the Leeds/Bradford Chair in Epidemiology. This role will sit within the Leeds Institute of Genetics, Health and Therapeutics (LIGHT) and the Bradford Institute for Health Research (BIHR). The Chair will be based in Bradford with the expectation of some time spent in Leeds. The Leeds Institute of Genetics, Health and Therapeutics (LIGHT), one of the four institutes in the School of Medicine, University of Leeds, supports and maintains strong links with the Bradford Institute for Health Research (BIHR). To this end, the School is seeking a senior academic to work across and help integrate activities across the two Institutes. Areas of focus in the LIGHT include all areas of non-communicable disease, and areas of focus within BIHR cluster around the Born in Bradford (BiB) cohort study (www.borninbradford.nhs.uk). The BiB cohort is a multi-ethnic birth cohort study of nearly 14,000 families that offers a unique opportunity for multidisciplinary medical research. The genetic, epigenetic, psychological and social determinants of health, development and well-being are tracked through bespoke data collection (biological, clinical & survey data) and linkage to primary and secondary care, public health and educational systems. Unlike most population cohort studies, BiB is embedded in clinical practice, offering exciting opportunities for applied research and intervention studies. The successful post-holder will report to the Head of Division, through whom they will be responsible to the Director of LIGHT and through him/her to the Dean of the Faculty. The individual will work closely with colleagues across the academic and clinical communities in Leeds and Bradford. In terms of the University/NHS partnership, close links with the Bradford Teaching Hospitals Foundation Trust (BTHFT) are essential. To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/23 The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT. Building on our excellence. Investing in our future. As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student education. To find out more and apply visit www.universityofleedschairs.co.uk You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE09HERMES9dsle_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

UNIVERSITY OF LEEDS

Leeds/Bradford Chair in Epidemiology

http://www.universityofleedschairs.co.uk/leeds-bradford-epidemiology.php

The Faculty of Medicine and Health at the University of Leeds wishes to appoint the Leeds/Bradford Chair in Epidemiology. This role will sit within the Leeds Institute of Genetics, Health and Therapeutics (LIGHT) and the Bradford Institute for Health Research (BIHR). The Chair will be based in Bradford with the expectation of some time spent in Leeds.

The Leeds Institute of Genetics, Health and Therapeutics (LIGHT), one of the four institutes in the School of Medicine, University of Leeds, supports and maintains strong links with the Bradford Institute for Health Research (BIHR). To this end, the School is seeking a senior academic to work across and help integrate activities across the two Institutes. Areas of focus in the LIGHT include all areas of non-communicable disease, and areas of focus within BIHR cluster around the Born in Bradford (BiB) cohort study (www.borninbradford.nhs.uk).

The BiB cohort is a multi-ethnic birth cohort study of nearly 14,000 families that offers a unique opportunity for multidisciplinary medical research. The genetic, epigenetic, psychological and social determinants of health, development and well-being are tracked through bespoke data collection (biological, clinical & survey data) and linkage to primary and secondary care, public health and educational systems. Unlike most population cohort studies, BiB is embedded in clinical practice, offering exciting opportunities for applied research and intervention studies.

The successful post-holder will report to the Head of Division, through whom they will be responsible to the Director of LIGHT and through him/her to the Dean of the Faculty. The individual will work closely with colleagues across the academic and clinical communities in Leeds and Bradford. In terms of the University/NHS partnership, close links with the Bradford Teaching Hospitals Foundation Trust (BTHFT) are essential.

To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/23

The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT.

Building on our excellence.  Investing in our future. 

As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student  education.  To find out more and apply visit www.universityofleedschairs.co.uk 

You may leave the list at any time by sending the command

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to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE09HERMES9dsle_-- ========================================================================Date: Thu, 13 Dec 2012 16:35:58 +0000 Reply-To: Mark Gilthorpe <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Mark Gilthorpe <[log in to unmask]> Subject: JOBS: Chair in Cardiovascular Epidemiology - Leeds, UK Content-Type: multipart/alternative; boundary="_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0AHERMES9dsle_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0AHERMES9dsle_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable UNIVERSITY OF LEEDS Academic Leadership Chair in Cardiovascular Epidemiology http://www.universityofleedschairs.co.uk/cardiovascular-epidemiology.php The Faculty of Medicine and Health at the University of Leeds wishes to appoint an Academic Leadership Chair in Cardiovascular Epidemiology. The new Chair will have a strong focus in cardiovascular, diabetes and obesity epidemiology and enhance the integration of cardiovascular and population research at Leeds. This appointment would strengthen our existing cardiovascular epidemiology theme and help promote translational research by integrating the laboratory, clinical and population sciences, thereby enhancing the Institute's link into applied health research funding opportunities within National Institute for Health Research (NIHR). This role will sit within the Leeds Institute of Genetics, Health and Therapeutics (LIGHT). The successful post holder will report to the Head of Division / Institute Director, through whom they will be responsible to the Dean of the Faculty (via Head of School). The person appointed will: * Provide leadership and deliver top quality research outputs that contribute to impact and innovation in cardiovascular epidemiology; * Expect to take on a significant leadership role in the organisation in research and/or education * Deliver research-led education that contributes to an exceptional student experience To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/22. The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT. Building on our excellence. Investing in our future. As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student education. To find out more and apply visit www.universityofleedschairs.co.uk You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0AHERMES9dsle_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

UNIVERSITY OF LEEDS

Academic Leadership Chair in Cardiovascular Epidemiology

http://www.universityofleedschairs.co.uk/cardiovascular-epidemiology.php

The Faculty of Medicine and Health at the University of Leeds wishes to appoint an Academic Leadership Chair in Cardiovascular Epidemiology. The new Chair will have a strong focus in cardiovascular, diabetes and obesity epidemiology and enhance the integration of cardiovascular and population research at Leeds. This appointment would strengthen our existing cardiovascular epidemiology theme and help promote translational research by integrating the laboratory, clinical and population sciences, thereby enhancing the Institute's link into applied health research funding opportunities within National Institute for Health Research (NIHR). This role will sit within the Leeds Institute of Genetics, Health and Therapeutics (LIGHT).

The successful post holder will report to the Head of Division / Institute Director, through whom they will be responsible to the Dean of the Faculty (via Head of School). The person appointed will:

To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/22.

The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT.

Building on our excellence.  Investing in our future. 

As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student  education.  To find out more and apply visit www.universityofleedschairs.co.uk 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0AHERMES9dsle_-- ========================================================================Date: Thu, 13 Dec 2012 16:36:00 +0000 Reply-To: Mark Gilthorpe <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Mark Gilthorpe <[log in to unmask]> Subject: JOBS: Chair in Child Health and Lifecourse Epidemiology- Leeds, UK Content-Type: multipart/alternative; boundary="_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0BHERMES9dsle_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0BHERMES9dsle_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable UNIVERSITY OF LEEDS Academic Leadership Chair in Child Health and Lifecourse Epidemiology http://www.universityofleedschairs.co.uk/child-health-lifecourse-epidemiology.php The Faculty of Medicine and Health at the University of Leeds wishes to appoint an Academic Leadership Chair in Child Health and Lifecourse Epidemiology. The new Chair would enhance existing strengths in child health and lifecourse research by recruitment of an epidemiologist or biostatistician with strong methodological skills focussed in the developmental origins of diseases, with emphasis potentially given to obesity and diabetes. The Chair would then integrate with the cardiovascular and diabetes focus in LIGHT and connect with both the clinical and basic sciences, thereby promoting applied health research into lifestyle causes of non-communicable diseases, enhancing the Institute's link into funding opportunities within the National Institute for Health Research (NIHR). The successful post holder will report to the Head of Division / Institute Director, through whom they will be responsible to the Dean of the Faculty (via Head of School). The person appointed will: * Provide leadership and deliver top quality research outputs that contribute to impact and innovation in cardiovascular epidemiology; * Expect to take on a significant leadership role in the organisation in research and/or education * Deliver research-led education that contributes to an exceptional student experience To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/24. The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT. Building on our excellence. Investing in our future. As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student education. To find out more and apply visit www.universityofleedschairs.co.uk You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0BHERMES9dsle_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

UNIVERSITY OF LEEDS

Academic Leadership Chair in Child Health and Lifecourse Epidemiology

http://www.universityofleedschairs.co.uk/child-health-lifecourse-epidemiology.php

The Faculty of Medicine and Health at the University of Leeds wishes to appoint an Academic Leadership Chair in Child Health and Lifecourse Epidemiology. The new Chair would enhance existing strengths in child health and lifecourse research by recruitment of an epidemiologist or biostatistician with strong methodological skills focussed in the developmental origins of diseases, with emphasis potentially given to obesity and diabetes. The Chair would then integrate with the cardiovascular and diabetes focus in LIGHT and connect with both the clinical and basic sciences, thereby promoting applied health research into lifestyle causes of non-communicable diseases, enhancing the Institute's link into funding opportunities within the National Institute for Health Research (NIHR).

The successful post holder will report to the Head of Division / Institute Director, through whom they will be responsible to the Dean of the Faculty (via Head of School).

The person appointed will:

To apply or to download further information on the required qualifications, skills and experience please visit www.perrettlaver.com/candidates quoting reference 0995/24.

The closing date for applications is Tuesday 29 January 2013 at 12:00 noon GMT.

Building on our excellence.  Investing in our future. 

As part of a £23m investment in academic leadership, the University of Leeds is seeking exceptional individuals who combine internationally leading research and innovation with outstanding student  education.  To find out more and apply visit www.universityofleedschairs.co.uk 

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_65946E847ED9E745B73CA2B57D8BE2F201C9AA08FE0BHERMES9dsle_-- ========================================================================Date: Thu, 13 Dec 2012 20:20:43 +0000 Reply-To: Bruno Arpino <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Bruno Arpino <[log in to unmask]> Subject: Short course: "Continuous time modeling of panel data by means of structural equation modeling" Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> It is a pleasure for us to announce that registration for the course "Continuous time modeling of panel data by means of structural eqution modeling (SEM)" is now open. We especially recommend this course, as we think that social science in general should change its approach in the direction indicated in it: as most processes we study change continuously and not abruptly at fixed time distances, we believe the approach indicated in this course is the future model for social science change models. The course will be taught by Prof. Han Oud (Radboud University Nijmegen, the Netherlands) and Prof. Manuel Voelkle (Max Plack Institute for Human Development, Germany). It will take place on March 6-7, 2013, at the Campus de la Ciutadella of Universitat Pompeu Fabra in Barcelona. The language of instruction will be English. Deadline for registration is February 28, 2013. You will find complete information regarding the course, including its program and registration procedure at the following links: http://www.upf.edu/survey/activities/courses.html http://www.upf.edu/survey/_pdf/curso_continuous_time_modeling_march_2013.pdf (in .pdf format) The course is directed to researchers and students involved and/or interested in longitudinal data models, continuous time modeling, panel data and survey research in general, especially experts coming from survey research commercial firms, and students of political science, sociology, psychology, medical sciences and economics. Computer exercises form an essential part of the course. Therefore, participants will form small groups with different backgrounds with respect to experience with panel research, knowledge of SEM and the program R. In this way we expect all to profit optimally. Prior knowledge of one or more of these topics is attractive, although not required. For any questions about the course, its program, or its registration procedure, feel free to contact us at [log in to unmask] Best regards, Research and Expertise Centre for Survey Methodology - RECSM Universitat Pompeu Fabra, Barcelona www.upf.edu/survey 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: Thu, 13 Dec 2012 23:04:57 +0000 Reply-To: Dr mark Bronsvoort <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dr mark Bronsvoort <[log in to unmask]> Subject: Postdoc RA position at University of Edinburgh Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> The EERA Group at the Roslin Institute based at the R(D)SVS in Edinburgh has a PDRA position available. This post is to provide statistical and modelling support across a number of exciting epidemiological projects including working on bTB and FMD in Cameroon, liver fluke in Scotland and emerging infectious disease horizon scanning. There is the potential to contribute to undergraduate and postgraduate teaching in statistics and epidemiology. This post will suit an energetic multi-tasker interested in working as part of a multi-disciplinary research team. Visit http://www.jobs.ac.uk/job/AFO834/postdoctoral-quantitative-epidemiologist/ for delays and application form. 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: Fri, 14 Dec 2012 08:27:26 +0000 Reply-To: Petra Schubert - AO Foundation <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Petra Schubert - AO Foundation <[log in to unmask]> Subject: Job - SAS Programmer Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> The AO Foundation is a medically guided non-profit organization led by an international group of surgeons specialized in the treatment of trauma and disorders of the musculoskeletal system. Founded in 1958 by 13 visionary surgeons, AO today fosters one of the most extensive networks of currently more than 12,000 surgeons, operating room personnel, and scientists in over 100 countries. For more information, please visit www.aofoundation.org. AO Clinical Investigation and Documentation (AOCID) is a service unit within the AO Foundation, responsible for the planning, conduct and analysis of clinical studies at a global level. We are looking for a highly motivated person to join our team in Dübendorf near Zürich as a: SAS Programmer Your key responsibility is to ensure high quality standards for statistical programming and data management as well as monitoring activities. You develop, document and manage SAS/Stata codes for data management, reporting and statistical analysis according to study-specific goals and objectives as well as AOCID standard operating procedures. You translate into SAS code the specifications and requirements set up in the Data Management Plans (DMPs), Clinical Investigation Plans (CIPs), Statistical Analysis Plans (SAPs) and Standard Operating Procedures (SOPs). You are furthermore responsible for the quality management of the program and you develop and maintain Standard Operating Procedures for statistical programming (validation, documentation). Also the development of codes for ad-hoc requests is part of your job. You have successfully completed your BSc degree in numerical/computational sciences, mathematics or equivalent qualification. You have advanced SAS programming skills (BASE, MACRO, STAT, GRAPH and ACCESS) and preferably professional experience with programming in the field of clinical research. You are willing to learn and have an interest in the clinical research field. You are able to manage multiple projects simultaneously and ideally, you have basic knowledge of statistics. As a good communicator you are fluent in English (oral and written) and you have the ability to prepare structured documentation. Furthermore you have numerical and analytical skills, attention to detail and you are customer oriented as well as a team player. Basic knowledge of the STATA software is welcomed. We offer an interesting and varied job with high-value terms of employment in an exciting and innovative organization with modern infrastructure and an engaged, international team. A dynamic international workplace, continuing education as well as modern employment conditions are all part of our proposition. If you feel you meet the requirements of this challenging opportunity please send your complete dossier (motivation letter, CV, etc.) with photo to: AO Foundation Jürg Iselin, Head of Human Resources Clavadelerstrasse 8 7270 Davos Platz [log in to unmask] www.aofoundation.org 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: Fri, 14 Dec 2012 11:32:31 +0000 Reply-To: Kim Pearce <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kim Pearce <[log in to unmask]> Subject: Intraclass Correlation Coefficient : single or average measures? Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Hello everyone, A small question regarding interpretation of the output associated with the intraclass correlation to measure inter-rater reliability. Say, hypothetically, the same set of 5 judges provide a score for each of 100 patients - the judges are assumed to be a random sample from a large pool of judges and the patients are a random sample...thus we have a 2 way random effects model. We wish to establish if there is agreement between the judges as regards their score. We choose a 'consistency' option as we only wish the statistic to assess if the judges are highly correlated - (i.e. having absolute agreement is not essential). Could I ask - when is it appropriate to use 'single measure reliability' and when is it appropriate to use 'average measure reliability'? Texts seem rather vague. Many thanks for your help in advance, 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 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: Fri, 14 Dec 2012 13:39:25 +0000 Reply-To: Martin Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Martin Roberts <[log in to unmask]> Subject: Re: Intraclass Correlation Coefficient : single or average measures? Comments: To: Kim Pearce <[log in to unmask]> In-Reply-To: <[log in to unmask]> Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Hi Kim, It depends on whether you're interested in using one or more judges in practice to score the patients. The 'single measure reliability' is the reliability of the score awarded by a single judge while 'average measure reliability' is the reliability of the mean (or total) score awarded by five judges. Reliability for the mean score awarded by N judges can be calculated from the single-measures ICC using the Spearman-Brown formula. HTH Martin Martin Roberts Research Fellow Peninsula College of Medicine and Dentistry Plymouth ________________________________________ From: A UK-based worldwide e-mail broadcast system mailing list [[log in to unmask]] On Behalf Of Kim Pearce [[log in to unmask]] Sent: 14 December 2012 11:32 To: [log in to unmask] Subject: Intraclass Correlation Coefficient : single or average measures? Hello everyone, A small question regarding interpretation of the output associated with the intraclass correlation to measure inter-rater reliability. Say, hypothetically, the same set of 5 judges provide a score for each of 100 patients - the judges are assumed to be a random sample from a large pool of judges and the patients are a random sample...thus we have a 2 way random effects model. We wish to establish if there is agreement between the judges as regards their score. We choose a 'consistency' option as we only wish the statistic to assess if the judges are highly correlated - (i.e. having absolute agreement is not essential). Could I ask - when is it appropriate to use 'single measure reliability' and when is it appropriate to use 'average measure reliability'? Texts seem rather vague. Many thanks for your help in advance, 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 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. 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: Fri, 14 Dec 2012 13:47:01 +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: Clinical Statistician needed for large pharmaceutical company. Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE7AF4HRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE7AF4HRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 RGVhciBBbGxzdGF0LAoKSSBob3BlIGV2ZXJ5b25lIGlzIGVuam95aW5nIHRoZWlyIEZyaWRheS4g UGxlYXNlIGZpbmQgYmVsb3cgb3VyIGxhdGVzdCBjb250cmFjdCBzdGF0aXN0aWNpYW4gdmFjYW5j eSBmb3IgdGhlIFVLIGFuZCBhIGJyaWVmIGpvYiBkZXNjcmlwdGlvbiB3b3JraW5nIHdpdGggYSBw aGFybWFjZXV0aWNhbCBjbGllbnQuCgpDTElOSUNBTCBTVEFUSVNUSUNJQU4KTE9ORE9OIEJBU0VE IC0gUEVSTUFORU5UCgpSb2xlCldlIGN1cnJlbnRseSBoYXZlIGFuIG9wcG9ydHVuaXR5IGZvciBh biBleHBlcmllbmNlZCBzdHVkeSBiaW9zdGF0aXN0aWNpYW4gd2l0aCBhIHBoYXJtYWNldXRpY2Fs IGNsaWVudC4gUmVzcG9uc2liaWxpdGllcyBpbnZvbHZlIGNvLW9yZGluYXRpbmcgdGhlIGRlc2ln biwgc3RhdGlzdGljYWwgYW5hbHlzaXMgYW5kIHJlcG9ydGluZyBvZiBpbmRpdmlkdWFsIHN0dWRp 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dHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsu DQo--_000_92E7DB5F663712419ABCF81571D7F419CE7AF4HRMWSXS1478emeaha_-- ========================================================================Date: Fri, 14 Dec 2012 14:56:53 +0000 Reply-To: CASS <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: CASS <[log in to unmask]> Subject: S3Ri Short Course - University of Southampton Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> 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 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: Fri, 14 Dec 2012 15:18:24 +0000 Reply-To: Richard Emsley <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Richard Emsley <[log in to unmask]> Subject: ANNOUNCE: International Year of Statistics 2013 - launch video Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Dear Colleagues, 2013 will be the International Year of Statistics, and in preparation the Statistics2013 launch video has been released. Entitled "Improving Human Welfare in 2013 International Year of Statistics", the video is accessible via the SAS YouTube channel at: http://youtu.be/nTBZuQR7dRc The launch video is available for you to view, use and distribute freely in preparation for the start of this worldwide celebration and recognition of the contributions of statistical science. Through the combined energies of organizations worldwide, Statistics2013 will promote the importance of Statistics to the broader scientific community, business and government data users, the media, policy makers, employers, students, and the general public. The goals of Statistics2013 include: *increasing public awareness of the power and impact of Statistics on all aspects of society; *nurturing Statistics as a profession, especially among young people; and *promoting creativity and development in the sciences of Probability and Statistics As of December 13th 2012 there are 1,345 participating organisations representing over 105 countries. If you wish to support the International Year of Statistics and your organization has not yet signed on, please consider doing so by going to http://statistics2013.org and clicking on "Join." Joining creates no obligation, but it does connect you to the worldwide network of organizations and people who are interesting in promoting statistics through the unique opportunity of the International Year of Statistics. On behalf of the International Year of Statistics Steering Committee Richard Emsley, International Biometric Society Adam Jakubowski, ISI/Bernoulli Society Denise Lievesley, Royal Statistical Society David Madigan, Institute of Mathematical Statistics Rob Mastrodomenico, Royal Statistical Society Vijay Nair, International Statistical Institute Sastry Pantula, American Statistical Association Ada van Krimpen, International Statistical Institute Ron Wasserstein, Executive Director, American Statistical Association 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: Fri, 14 Dec 2012 16:41:16 +0000 Reply-To: Sarah Wo <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Sarah Wo <[log in to unmask]> Subject: Postgraduate funding opportunities at the University of Southampton Mime-Version: 1.0 Content-Type: multipart/alternative; boundary="part-UW22c923Xr4ZwkqVAkuABEQkrmFvkPBQiwLbGnt9CALAF" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. --part-UW22c923Xr4ZwkqVAkuABEQkrmFvkPBQiwLbGnt9CALAF Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --part-UW22c923Xr4ZwkqVAkuABEQkrmFvkPBQiwLbGnt9CALAF Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8"

Apologies for any cross-postings.

Thinking about applying for an MSc or PhD in social statistics or demography next year? Have a look at our funding opportunities...
SCHOLARSHIPS AVAILABLE
 
We hope to put candidates forward for both MSc and PhD scholarships over the coming year to start in October 2013. These scholarships include:
 
ESRC-DTC studentships (up to 10 available):
·         1+3 studentships: these involve completing a 1 year MSc in Demography or Social Statistics followed by a 3 year PhD. These scholarships pay £13,590 per year tax free (2012-2013 rates), plus the chance to apply for an extra £3,000 per year for training in advanced quantitative methods during the PhD. Fees are also covered.
·         +3 studentships: available for students who have or are expecting to complete an approved Masters programme with a merit (an average mark of 60%) or other equivalent, and are looking to undertake a 3 year PhD. These scholarships pay £13,590 per year tax free (2012-2013 rates), plus the chance to apply for an extra £3,000 per year for training in advanced quantitative methods. Fees are also covered.
 
Office for National Statistics (ONS) PhD studentships: up to two 3 year PhD studentships are availble. Aimed at students who have or are expecting to complete an approved Masters programme with a merit (an average mark of 60%) or other equivalent these provide a generous stipend, of a similar level to our ESRC scholarships, and also cover fees. Research areas will be related to the ONS’s current programmes and projects.
 
Social Sciences Masters Scholarships: we are delighted to be offering several one-year taught MSc scholarships for our MSc programmes in Demography or Social Statistics for the 2013 academic year. These will be available for International and Home/EU students, and will provide a substantial discount towards the cost of your fees.
 
Population Investigation Committee (PIC) scholarships: in recent years, the PIC has offered one year scholarships for students undertaking our MSc in Demography. We expect the scheme to run again this year, and we will be looking to put forward up to 3 top candidates. We are usually successful in obtaining these scholarships for at least one student per year, worth £15,000.
 
Closing deadline for social sciences masters scholarships, 1+3 and +3 studentships: 6 February 2013.
 
For more details visit our website at: http://www.southampton.ac.uk/demography.
 
HOW TO APPLY
 
No separate application form is required to apply for these scholarships. Please apply as normal 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].
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --part-UW22c923Xr4ZwkqVAkuABEQkrmFvkPBQiwLbGnt9CALAF-- ========================================================================Date: Fri, 14 Dec 2012 17:02:16 +0000 Reply-To: Daniela DeAngelis <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Daniela DeAngelis <[log in to unmask]> Subject: PhD STUDENTSHIPS OCTOBER 2013 - MEDICAL RESEARCH COUNCIL BIOSTATISTICS UNIT - CAMBRIDGE Comments: To: [log in to unmask] MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="------------030501080901030701010808" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. --------------030501080901030701010808 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 8bit *PhD Opportunities at the MRC Biostatistics Unit* The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences. Details of the work carried out in the Unit appear on our website. The Unit is offering 5 (Five) full PhD MRC Studentships (UK / EU National) and 1 (One) EPSRC Industrial CASE Studentship to commence in October 2013: ·The studentships are for full time study only. ·Available for commencement in October 2013 Full awards cover Cambridge University fees (at the Home/EU rate only) and a competitive stipend for a period of 3 years only (3.5 for the EPSRC Case Studentship). Projects currently on offer are listed below. Others may appear on our website in due course. We also welcome applications to any of our research programmes directly. For full details on how to apply and eligibility for MRC/EPSRC funding please see the BSU PhD webpages http://www.mrc-bsu.cam.ac.uk/Education/PhD.html *Projects* 1.Statistical issues in the design and analysis of multi-arm multi-stage (MAMS) clinical trials - Jack Bowden and James Wason 2.Inference for stochastic models of cellular processes - Lorenz Wernisch 3.Multivariate meta-analysis: Theory and Applications - Dan Jackson and Ian White 4.Developing sequential methods for identifying optimal biomarker combinations - Jack Bowden and Toby Prevost (Kings College London) 5.Network modelling of immune response in Schistosomiasis- Lorenz Wernisch 6.Design and Analysis of Case-Cohort Studies - Ian White 7.Adaptive designs for telehealth trials- James Wason and Rob Blake (Philips Research Cambridge) 8.Joint modelling of time-to-event and longitudinal data when the event of interest is difficult to define: application to studies of remission in chronic diseases - Li Su and Vern Farewell 9.Bayesian and penalised methods for biomarkers based risk prediction: application to the study of adverse birth outcomes - Sylvia Richardson and Paul Newcombe 10.Estimating HIV incidence from multiple sources of data -- Daniela De Angelis, Anne Presanis and Paul Birrell For more project details please see our website http://www.mrc-bsu.cam.ac.uk/Education/PhDopportunities.html -- Dr Daniela De Angelis Programme Leader MRC Biostatistics Unit Institute of Public Health, Cambridge Tel:+44 (0)1223 330390 and Senior Statistician Health Protection Agency, Health Protection Services, London Tel: +44 (0)208 3276419 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --------------030501080901030701010808 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit

PhD Opportunities at the MRC Biostatistics Unit

 

The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences.
Details of the work carried out in the Unit appear on our website.

The Unit is offering 5 (Five) full PhD MRC Studentships (UK / EU National) and 1 (One) EPSRC Industrial CASE Studentship to commence in October 2013:

·         The studentships are for full time study only.

·         Available for commencement in October 2013

Full awards cover Cambridge University fees (at the Home/EU rate only) and a competitive stipend for a period of 3 years only (3.5 for the EPSRC Case Studentship).

Projects currently on offer are listed below. Others may appear on our website in due course. We also welcome applications to any of our research programmes directly.

For full details on how to apply and eligibility for MRC/EPSRC funding please see the BSU PhD webpages http://www.mrc-bsu.cam.ac.uk/Education/PhD.html

 

Projects

1.      Statistical issues in the design and analysis of multi-arm multi-stage (MAMS) clinical trials - Jack Bowden and James Wason

2.      Inference for stochastic models of cellular processes - Lorenz Wernisch

3.      Multivariate meta-analysis: Theory and Applications - Dan Jackson and Ian White

4.      Developing sequential methods for identifying optimal biomarker combinations - Jack Bowden and Toby Prevost (Kings College London)

5.      Network modelling of immune response in Schistosomiasis- Lorenz Wernisch

6.      Design and Analysis of Case-Cohort Studies - Ian White

7.      Adaptive designs for telehealth trials- James Wason and Rob Blake (Philips Research Cambridge)

8.      Joint modelling of time-to-event and longitudinal data when the event of interest is difficult to define: application to studies of remission in chronic diseases - Li Su and Vern Farewell

9.      Bayesian and penalised methods for biomarkers based risk prediction: application to the study of adverse birth outcomes - Sylvia Richardson and Paul Newcombe

10.  Estimating HIV incidence from multiple sources of data – Daniela De Angelis, Anne Presanis and Paul Birrell

For more project details please see our website http://www.mrc-bsu.cam.ac.uk/Education/PhDopportunities.html


-- 



Dr Daniela De Angelis

Programme Leader
MRC Biostatistics Unit
Institute of Public Health, Cambridge   Tel:+44 (0)1223 330390

and

Senior Statistician
Health Protection Agency,
Health Protection Services, London      Tel: +44 (0)208 3276419
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --------------030501080901030701010808-- ========================================================================Date: Fri, 14 Dec 2012 17:33:49 +0000 Reply-To: Kandy Woodfield <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kandy Woodfield <[log in to unmask]> Subject: Spring short course programme in research methods with NatCen Learning Comments: To: "[log in to unmask]" <[log in to unmask]>, "[log in to unmask]" <[log in to unmask]>, "[log in to unmask]" <[log in to unmask]>, "[log in to unmask]" <[log in to unmask]>, "[log in to unmask]" <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="_000_E45C3112D5FBA444ABBEC374595EEC18556E23E17AMARGE6adnatce_" Message-ID: <[log in to unmask]> --_000_E45C3112D5FBA444ABBEC374595EEC18556E23E17AMARGE6adnatce_ Content-Type: text/plain; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable Dear colleagues ** Apologies for any cross-posting** We are pleased to announce that our Spring/Summer 2013 programme of open courses in social research methods is open for bookings. You can find more detail about all of the workshops and courses below on our website: http://www.natcen.ac.uk/events-and-training 21st - 22nd Jan The analysis of qualitative data 2 days 23rd Jan Introduction to Framework in NVivo 1 day 19th - 20th Feb Qualitative research design 2 days 6th - 7th Mar Depth interviewing skills 2 days 12th - 13th Mar Questionnaire design 2 days 30th Apr - 1st May Introduction to evaluation 1.75 days 14th - 15th May Basic statistical analysis for social research 2 days 21st May Reporting qualitative data 1 day 22nd - 23rd May Moderating focus groups 2 days 23rd May Influencing policy with research 1 day 12th - 13th Jun The analysis of qualitative data 2 days 14th Jun Introduction to Framework in NVivo 1 day 25th - 26th Jun Depth interviewing skills 2 days 2nd - 3rd Jul Cognitive interviewing skills 2 days We offer reduced rates to students, academics and those working in the Third sector. All courses take place at our London offices in EC1. If you have any questions or would like to discuss the options for a tailored programme for your team or organisation then please email: [log in to unmask] or call us on 020 7549 8577 Kandy Woodfield Director of NatCen Learning NatCen Social Research Find out about our latest courses and events. http://www.natcen.ac.uk/events-and-training NatCen Social Research 35 Northampton Square London EC1V 0AX 020 7250 1866 Visit our website. www.natcen.ac.uk Read our latest blog. natcenblog.blogspot.com Follow us. @NatCen Email us. [log in to unmask] NatCen Social Research is accredited to the following international standards: ISO 20252:2006 Market, opinion and social research, and ISO 27001:2005 Information Security Management. Company limited by guarantee. Registered in England No. 4392418. Charity registered in England and Wales (1091768) and in Scotland (SC038454). Confidentiality: The information in this email and any attachments are confidential and may include some that is legally privileged. It must not be disclosed to or used by persons other than the intended recipient. If received in error, please notify us immediately and then delete this document. Content: Any views or opinions expressed do not necessarily represent those of NatCen Social Research. Please note the content of this e-mail may be intercepted, monitored or recorded for compliance purposes. Sensitive personal data should not normally be transmitted by e-mail. Copyright: Copyright in this e-mail and any attachments created by NatCen Social Research belong to NatCen Social Research unless otherwise stated. Care: NatCen Social Research shall not be liable to the recipient or any third party for any loss or damage howsoever arising from this e-mail and/or its content, including loss or damage caused by virus. It is the responsibility of the recipient to ensure the opening or use of this message and any attachments shall not adversely affect systems or data. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_E45C3112D5FBA444ABBEC374595EEC18556E23E17AMARGE6adnatce_ Content-Type: text/html; charset=WINDOWS-1252 Content-Transfer-Encoding: quoted-printable


Dear colleagues

 

** Apologies for any cross-posting**

 

We are pleased to announce that our Spring/Summer 2013 programme of open courses in social research methods is open for bookings. You can find more detail about all of the workshops and courses below on our website: http://www.natcen.ac.uk/events-and-training

 

21st - 22nd Jan

The analysis of qualitative data

2 days

23rd Jan

Introduction to Framework in NVivo

1 day

19th - 20th Feb

Qualitative research design

2 days

6th - 7th Mar

Depth interviewing skills

2 days

12th - 13th Mar

Questionnaire design

2 days

30th Apr - 1st May

Introduction to evaluation

1.75 days

14th - 15th May

Basic statistical analysis for social research

2 days

21st May

Reporting qualitative data

1 day

22nd - 23rd May

Moderating focus groups

2 days

23rd May

Influencing policy with research

1 day

12th - 13th Jun

The analysis of qualitative data

2 days

14th Jun

Introduction to Framework in NVivo

1 day

25th - 26th Jun

Depth interviewing skills

2 days

2nd - 3rd Jul

Cognitive interviewing skills

2 days

 

We offer reduced rates to students, academics and those working in the Third sector. All courses take place at our London offices in EC1.

 

If you have any questions or would like to discuss the options for a tailored programme for your team or organisation then please email: [log in to unmask] or call us on 020 7549 8577

 

Kandy Woodfield

Director of NatCen Learning

NatCen Social Research

 

 

 

 

Find out about our latest courses and events. http://www.natcen.ac.uk/events-and-training 

NatCen Social Research
35 Northampton Square
London EC1V 0AX
020 7250 1866

Visit our website. www.natcen.ac.uk
Read our latest blog. natcenblog.blogspot.com
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to [log in to unmask], leaving the subject line blank. --_000_E45C3112D5FBA444ABBEC374595EEC18556E23E17AMARGE6adnatce_-- ========================================================================Date: Sat, 15 Dec 2012 00:01:14 -0600 Reply-To: Yu Zhang <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Yu Zhang <[log in to unmask]> Subject: 2nd CFP Agent-Directed Simulation, April 7-10, 2013, San Diego, CA, USA MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed Message-ID: <[log in to unmask]> Please note that the submission deadline is due in a week on December 21, 2012. ==============================================================CALL FOR PAPERS and POSTERS Agent-Directed Simulation Symposium (ADS'13) Bahia Resort, San Diego, CA, USA April 7-10, 2013 http://www.scs.org/node/344 Manuscript Submission: December 21, 2012. Sponsored by The Society for Modeling and Simulation International (SCS). Co-located with the Spring Simulation Interoperability Workshop (Spring SIW) 2013 organized and conducted by the Simulation Interoperability Standards Organization (SISO). The Theory of Modeling and Simulation (TMS/DEVS 2013) will be a sub-conference of SpringSim. ============================================================= As part of the 2013 Spring Simulation Multi-conference (SpringSim'13) http://www.scs.org/springsim/2013 the 2013 Agent-Directed Simulation Symposium is a premier platform to explore all three aspects of the synergy of simulation and agent technologies. Hence, it has a special place within simulation and agent conferences, including agent-based (social) simulation conferences. Therefore the ADS symposium fills a gap in the agent community as well as the simulation community. The purpose of the ADS symposium is to facilitate dissemination of the most recent advancements in the theory, methodology, application, and toolkits of agent-directed simulation. Agent-directed simulation is comprehensive in the integration of agent and simulation technologies, by including models that use agents to develop domain-specific simulations, i.e., agent simulation (this is often referred to as agent-based simulation -when other two important aspects are not considered), and by also including the use of agent technology to develop simulation techniques and toolkits that are subsequently applied, either with or without agents. Hence, agent-directed simulation consists of three distinct, yet related areas that can be grouped under two categories as follows: 1. Simulation for Agents (agent simulation): simulation of agent systems in engineering, human and social dynamics, military applications etc. 2. Agents for Simulation (which has two aspects): agent-supported simulation deals with the use of agents as a support facility to enable computer assistance in problem solving or enhancing cognitive capabilities; and agent-based simulation that focuses on the use of agents for the generation of model behavior in a simulation study. Through the theme of agent-directed simulation, the symposium will bring together agent technologies, tools, toolkits, platforms, languages, methodologies, and applications in a pragmatic manner. In this symposium, established researchers, educators, and students are encouraged to come together and discuss the benefits of agent technology in their use and application for simulation. It is a way for people to discuss why and how they have used agent technology in their simulations, and describe the benefit of having done so. The theme of ADS'13 is based on the observation of the following premises. * The growth of new advanced distributed computing standards along with the rapid rise of e-commerce are providing a new context that acts as a critical driver for the development of next generation systems. These standards revolve around service-oriented technologies, pervasive computing, web-services, Grid, autonomic computing, ambient intelligence etc. The supporting role that intelligent agents play in the development of such systems is becoming pervasive, and simulation plays a critical role in the analysis and design of such systems. * The use of emergent agent technologies at the organization, interaction (e.g., coordination, negotiation, communication) and agent levels (i.e. reasoning, autonomy) are expected to advance the state of the art in various application technologies is difficult. Using agent-supported simulation techniques for testing complex agent systems is up and coming field. * To facilitate bridging the gap between research and application, there is a need for tools, agent programming languages, and methodologies to analyze, design, and implement complex, non-trivial agent-based simulations. Existing agent-based simulation tools are still not mature enough to enable developing agents with varying degrees cognitive and reasoning capabilities. ADS 2013 will provide a leading forum to bring together researchers and practitioners from diverse simulation societies within computer science, social sciences, engineering, business, education, human factors, and systems engineering. The involvement of various agent-directed simulation groups will enable the cross-fertilization of ideas and development of new perspectives by fostering novel advanced solutions, as well as enabling technologies for agent-directed simulation AUTHOR GUIDELINES * Technical papers provide a longer format for presenting experience reports, research results, or descriptions of "work in progress". They are limited to 8 pages. * Short position papers are targeted at raising a question or framing an issue for discussion during the symposium. Position papers are limited to 3 pages. * Poster presentations present an opportunity to present work in progress and receive feedback from colleagues. A one page write-up of the poster presentations will be included in the proceedings. Formatting guidelines and author instructions are available at http://www.scs.org/conferences . Papers should be submitted electronically to http://www.softconf.com/scs/ADS13 . All papers will be subject to a peer-reviewing process by three program committee members. (Please see the key dates listed below) FINAL PAPER SUBMISSION GUIDELINES All prospective authors, whose papers are accepted for inclusion in the program, will be invited to submit their position or technical papers to ADS'13. Accepted and registered papers will be published in the conference proceedings by the SCS. The committee will select a set of best papers. Authors of these papers will be encouraged to submit appropriately expanded versions of these papers for journal publication. KEY DATES Submissions Open: Sept. 7, 2012 Final day to submit the regular papers for review: Dec. 21, 2012 Final day to submit reviews and decisions: Jan. 25, 2013 Final day to submit the camera ready version: Feb. 10, 2013 General Co-Chairs Levent Yilmaz, Auburn University Tuncer Oren, University of Ottawa Program Co-Chairs Gregory Madey, University of Notre Dame Maarten Sierhuis, Carnegie Mellon University, NASA Ames Research Center Yu Zhang, Trinity University 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: Sun, 16 Dec 2012 20:21:37 +0100 Reply-To: Andreas Argyriou <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Andreas Argyriou <[log in to unmask]> Subject: International workshop on advances in Regularization, Optimization, Kernel methods and Support vector machines: theory and applications MIME-Version: 1.0 Content-Type: multipart/alternative; boundary9e013a11a269a0ef04d0fd2c2c Message-ID: <[log in to unmask]> --089e013a11a269a0ef04d0fd2c2c Content-Type: text/plain; charset=ISO-8859-1 ROKS-2013 International workshop on advances in Regularization, Optimization, Kernel methods and Support vector machines: theory and applications July 8-10, 2013, Leuven, Belgiumhttp://www.esat.kuleuven.be/sista/ROKS2013 SCOPE One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning and representations of models are key ingredients in these methods. On the other hand considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays a prominent role. The aim of ROKS-2013 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies along these areas, both at the level of theory and applications. The scope includes but is not limited to: - Regularization: L2, L1, Lp, lasso, group lasso, elastic net, spectral regularization, nuclear norm, others - Support vector machines, least squares support vector machines, kernel methods, gaussian processes and graphical models - Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, Banach spaces, operator splitting - Optimization formulations, optimization algorithms - Supervised, unsupervised, semi-supervised learning, inductive and transductive learning - Multi-task learning, multiple kernel learning, choice of kernel functions, manifold learning - Prior knowledge incorporation - Approximation theory, learning theory, statistics - Matrix and tensor completion, learning with tensors - Feature selection, structure detection, regularization paths, model selection - Sparsity and interpretability - On-line learning and optimization - Applications in machine learning, computational intelligence, pattern analysis, system identification, signal processing, networks, datamining, others - Software CALL FOR ABSTRACTS The ROKS-2013 program will feature invited plenary talks, oral sessions and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution. After the workshop a number of selected contributions will be invited for an edited book. For further information see http://www.esat.kuleuven.be/sista/ROKS2013 . IMPORTANT DATES - Extended abstract submission website opens: Jan 9, 2013 - Deadline extended abstract submission: March 4, 2013 - Notification of acceptance: April 8, 2013 - Deadline for registration: June 3, 2013 - International Workshop ROKS-2013: July 8-10, 2013 ORGANIZING COMMITTEE Chair: Johan Suykens (KU Leuven) Andreas Argyriou (Ecole Centrale Paris), Kris De Brabanter (KU Leuven), Moritz Diehl (KU Leuven), Kristiaan Pelckmans (Uppsala University), Marco Signoretto (KU Leuven), Vanya Van Belle (KU Leuven), Joos Vandewalle (KU Leuven) Co-sponsored by ERC Advanced Grant You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --089e013a11a269a0ef04d0fd2c2c Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable 


ROKS-2013

International workshop on advances in Regularization, Optimization, Kernel methods and Support vector machines: theory and applications

July 8-10, 2013, Leuven, Belgium
http://www.esat.kuleuven.be/sista/ROKS2013

SCOPE

One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning and representations of models are key ingredients in these methods. On the other hand considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays a prominent role. The aim of ROKS-2013 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies along these areas, both at the level of theory and applications.

The scope includes but is not limited to:
- Regularization: L2, L1, Lp, lasso, group lasso, elastic net, spectral regularization, nuclear norm, others
- Support vector machines, least squares support vector machines, kernel methods, gaussian processes and graphical models
- Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, Banach spaces, operator splitting
- Optimization formulations, optimization algorithms
- Supervised, unsupervised, semi-supervised learning, inductive and transductive learning
- Multi-task learning, multiple kernel learning, choice of kernel functions, manifold learning
- Prior knowledge incorporation
- Approximation theory, learning theory, statistics
- Matrix and tensor completion, learning with tensors
- Feature selection, structure detection, regularization paths, model selection
- Sparsity and interpretability
- On-line learning and optimization
- Applications in machine learning, computational intelligence, pattern analysis, system identification, signal processing, networks, datamining, others
- Software

CALL FOR ABSTRACTS

The ROKS-2013 program will feature invited plenary talks, oral sessions and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution. After the workshop a number of selected contributions will be invited for an edited book. 

For further information see http://www.esat.kuleuven.be/sista/ROKS2013 .

IMPORTANT DATES

- Extended abstract submission website opens: Jan 9, 2013
- Deadline extended abstract submission: March 4, 2013
- Notification of acceptance: April 8, 2013
- Deadline for registration: June 3, 2013
- International Workshop ROKS-2013: July 8-10, 2013

ORGANIZING COMMITTEE

Chair: Johan Suykens (KU Leuven)

Andreas Argyriou (Ecole Centrale Paris), Kris De Brabanter (KU Leuven), Moritz Diehl (KU Leuven), Kristiaan Pelckmans (Uppsala University), Marco Signoretto (KU Leuven), Vanya Van Belle (KU Leuven), Joos Vandewalle (KU Leuven) 

Co-sponsored by ERC Advanced Grant
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --089e013a11a269a0ef04d0fd2c2c-- ========================================================================Date: Mon, 17 Dec 2012 12:50:33 +1300 Reply-To: Nicola Petty <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Nicola Petty <[log in to unmask]> Organization: Creative Heuristics Ltd Subject: BLOG: Helping students organise their learning of hypothesis testing. MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_010F_01CDDC55.1A80C530" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_010F_01CDDC55.1A80C530 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Lots of people have made diagrams with branches to show the relationships between the different tests. I've used a different approach to help students see how it all relates. http://learnandteachstatistics.wordpress.com/2012/12/17/organising/ There is a pdf of the diagram, and a video to go with it. Last one before the Christmas break, so enjoy. Nicola Dr Nicola Ward Petty Creative Heuristics Ltd Phone 64 3 980 0901 _____ See my blog: Learn and Teach Statistics and Operations Research www.learnandteachstatistics.wordpress.com and our fabulous new app AtMyPace: Statistics: http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_010F_01CDDC55.1A80C530 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Lots of people have made diagrams with branches to show the relationships between the different tests. I’ve used a different approach to help students see how it all relates.

 

http://learnandteachstatistics.wordpress.com/2012/12/17/organising/

 

There is a pdf of the diagram, and a video to go with it.

 

Last one before the Christmas break, so enjoy.

 

 

Nicola

Dr Nicola Ward Petty
Creative Heuristics Ltd
Phone 64 3 980 0901

See my blog: Learn and Teach Statistics and Operations Research

www.learnandteachstatistics.wordpress.com

and our fabulous new app AtMyPace: Statistics:

http://itunes.apple.com/us/app/atmypace-statistics/id477053351?ls=1&mt=8

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_010F_01CDDC55.1A80C530-- ========================================================================Date: Mon, 17 Dec 2012 10:00:20 +1000 Reply-To: Dow Jaemjamrat <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Dow Jaemjamrat <[log in to unmask]> Subject: PhD-QUT and CSIRO Content-Type: multipart/alternative; boundary="_000_294D606EBDEFD64D9E7EB0D8DE1F39CE15E322517DQUTEXMBX02qut_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_294D606EBDEFD64D9E7EB0D8DE1F39CE15E322517DQUTEXMBX02qut_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Message sent on behalf of Professor Kerrie Mengersen; Dear Allstat, Queensland University of Technology and CSIRO Mathematics, Informatics and Statistics (CMIS) are offering project opportunities to analyse an acutely characterised high dimensional data set with the Australian Imaging, Biomarkers and Lifestyle (AIBL) project. The AIBL project is a longitudinal study of aging, with measurements a large variety of measures including cognitive performance, lifestyle factors, blood based biomarkers and neuroimaging data. The AIBL study is one of the largest studies of aging worldwide, and has produced many publications towards the identification of both a predisposition towards Alzheimer's Disease (AD), and AD itself. With samples measured from the Melbourne and Perth populations, and with measurements spanning four time points, there is scope for projects involving a hierarchical nature. Previous research in AD has focussed upon the ability to detect clinically defined Alzheimer's type dementia based up on the cognitive testing available. Alzheimer's Disease however, is thought to start up to 25 years prior to the onset of clinically defined dementia with the onset of a toxic protein in the brain called Beta Amyloid, and the atrophy of certain areas in the brain. Beta Amyloid is measured in the brain by a combination of positron emission tomography (PET) with a certain tag called [11]C-Pittsburgh compound B (PiB). The model below demonstrates the currently understanding of the relationship between Beta Amyloid load, brain atrophy and cognitive decline. Current project opportunities investigate the relationship between many different disease related parameters and the identification of both pre-clinical AD and clinically defined AD. Using mathematical models, and we aim to define a set, or sets of parameters that are related to the increase in Beta Amyloid load, that inevitably will lead to cognitive decline. Projects will have time to develop mathematical models with Professor Kerrie Mengersons group, and application of these methods to the different data available through the CMIS group. PhD projects are open to Australian citizens with a current APA scholarship. CSIRO will provide a healthy top-up scholarship to augment the APA. Please contact either Professor Kerrie Mengersen or Dr James Doecke for further details. Professor Kerrie Mengersen Dr James Doecke Mathematical Sciences, QUT, CSIRO Mathematics Informatics and Statistics [log in to unmask] [log in to unmask] (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. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_294D606EBDEFD64D9E7EB0D8DE1F39CE15E322517DQUTEXMBX02qut_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

Message sent on behalf of Professor Kerrie Mengersen;

 

Dear Allstat,

 

Queensland University of Technology and CSIRO Mathematics, Informatics and Statistics (CMIS) are offering project opportunities

to analyse an acutely characterised high dimensional data set with the Australian Imaging, Biomarkers and

Lifestyle (AIBL) project. The AIBL project is a longitudinal study of aging, with measurements a large variety of measures

including cognitive performance, lifestyle factors, blood based biomarkers and neuroimaging data. The AIBL study is one of

the largest studies of aging worldwide, and has produced many publications towards the identification of both a predisposition

towards Alzheimer’s Disease (AD), and AD itself. With samples measured from the Melbourne and Perth populations,

and with measurements spanning four time points, there is scope for projects involving a hierarchical nature.

 

Previous research in AD has focussed upon the ability to detect clinically defined Alzheimer’s type dementia based up on

the cognitive testing available. Alzheimer’s Disease however, is thought to start up to 25 years prior to the onset of clinically

defined dementia with the onset of a toxic protein in the brain called Beta Amyloid, and the atrophy of certain areas in the

brain. Beta Amyloid is measured in the brain by a combination of positron emission tomography (PET) with a certain tag

called [11]C-Pittsburgh compound B (PiB). The model below demonstrates the currently understanding of the relationship

between Beta Amyloid load, brain atrophy and cognitive decline.

 

 

Current project opportunities investigate the relationship between many different disease related parameters and the identification

of both pre-clinical AD and clinically defined AD. Using mathematical models, and we aim to define a set, or sets

of parameters that are related to the increase in Beta Amyloid load, that inevitably will lead to cognitive decline. Projects

will have time to develop mathematical models with Professor Kerrie Mengersons group, and application of these methods

to the different data available through the CMIS group.

PhD projects are open to Australian citizens with a current APA scholarship. CSIRO will provide a healthy top-up scholarship

to augment the APA.

 

Please contact either Professor Kerrie Mengersen or Dr James Doecke for further details.

 

Professor Kerrie Mengersen             Dr James Doecke

Mathematical Sciences, QUT,          CSIRO Mathematics Informatics and Statistics

[log in to unmask]                 [log in to unmask]

 

 

 

 

(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.

 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --_000_294D606EBDEFD64D9E7EB0D8DE1F39CE15E322517DQUTEXMBX02qut_-- ========================================================================Date: Mon, 17 Dec 2012 08:47:23 +0000 Reply-To: Michelle Pashley <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Michelle Pashley <[log in to unmask]> Subject: RICHARD RADO POSTDOCTORAL FELLOWSHIPS IN MATHEMATICS AND STATISTICS Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> RICHARD RADO POSTDOCTORAL FELLOWSHIPS IN MATHEMATICS AND STATISTICS The Department of Mathematics and Statistics of the University of Reading is inviting applications for two postdoctoral positions, tenable for two years each. For these positions, we seek exceptionally promising researchers at the start of their career, with research interests in any branch of mathematics or statistics. The positions are named after Prof Richard Rado FRS, who taught at Reading from 1954 to 1971. The successful candidates will be expected to produce outstanding research outputs and contribute a moderate amount of teaching. As part of your application we require you to submit a two-page research plan. We also require that you arrange for two references to be sent before the deadline to Michelle Pashley, [log in to unmask] Informal contact details Contact role: Head of Department (Research) Contact name: Professor Beatrice Pelloni Contact phone: +44 (0)118 378 8990 Contact email: [log in to unmask] Alternative informal contact details Contact role: Head of Statistics Contact name: Professor Sue Todd Contact phone: +44 (0)118 378 8917 Contact email: [log in to unmask] 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, 17 Dec 2012 08:52:43 +0000 Reply-To: Michelle Pashley <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Michelle Pashley <[log in to unmask]> Subject: RICHARD RADO POSTDOCTORAL FELLOWSHIPS IN MATHEMATICS AND STATISTICS Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> RICHARD RADO POSTDOCTORAL FELLOWSHIPS IN MATHEMATICS AND STATISTICS The Department of Mathematics and Statistics of the University of Reading is inviting applications for two postdoctoral positions, tenable for two years each. For these positions, we seek exceptionally promising researchers at the start of their career, with research interests in any branch of mathematics or statistics. The positions are named after Prof Richard Rado FRS, who taught at Reading from 1954 to 1971. The successful candidates will be expected to produce outstanding research outputs and contribute a moderate amount of teaching. As part of your application we require you to submit a two-page research plan. We also require that you arrange for two references to be sent before the deadline to Michelle Pashley, [log in to unmask] Informal contact details Contact role: Head of Department (Research) Contact name: Professor Beatrice Pelloni Contact phone: +44 (0)118 378 8990 Contact email: [log in to unmask] Alternative informal contact details Contact role: Head of Statistics Contact name: Professor Sue Todd Contact phone: +44 (0)118 378 8917 Contact email: [log in to unmask] Link to the job: https://www.reading.ac.uk/about/jobs/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3d2664745UXl%1BUSESSION=2F57DB31F8694DC6A09286BC21FA8FB7&WVID=9493791XsD&LANG=USA Website: http://www.reading.ac.uk/maths-and-stats/ 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, 17 Dec 2012 09:19:35 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: Homebased Principal SAS Programmer Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011E0CF1HRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011E0CF1HRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 R29vZCBtb3JuaW5nIEFsbHN0YXQsCgpQbGVhc2UgZmluZCBiZWxvdyBvdXIgbGF0ZXN0IHBlcm1h bmVudCBTQVMgUHJvZ3JhbW1pbmcgdmFjYW5jeSBmb3IgdGhlIFVLIGFuZCBhIGpvYiBkZXNjcmlw dGlvbiB3b3JraW5nIHdpdGggYSBsZWFkaW5nIENSTyBjbGllbnQuCgpQUklOQ0lQQUwgU1RBVElT VElDQUwgUFJPR1JBTU1FUgpIT01FQkFTRUQgT1BQT1JUVU5JVFkKCkxhcmdlIEdsb2JhbCBDUk8K RXhjZWxsZW50IFNhbGFyeQpIb21ld29ya2luZwpCYXNlZCBhbG9uZyB0aGUgTTQgQ29ycmlkb3IK CgpPdXIgY2xpZW50IGlzIGEgbGVhZGluZyBtdWx0aW5hdGlvbmFsIENSTyBiYXNlZCBhbG9uZyB0 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ZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_865C735EC628874680AFDB5D6931883A011E0CF1HRMWSXS1478emea_-- ========================================================================Date: Mon, 17 Dec 2012 09:53:40 +0000 Reply-To: Nick Sofroniou <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Nick Sofroniou <[log in to unmask]> Subject: Cedefop launched a new open call for tenders MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-333906562-1067776898-1355738020=:7186" Message-ID: <[log in to unmask]> ---333906562-1067776898-1355738020=:7186 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable Details are given below of a new open call for tenders at Cedefop, European Centre For the Development of Vocational Training, together with Web links to the tender documents. For further information, please contact our procurement services: [log in to unmask] CEDEFOP HAS LAUNCHED A NEW CALL FOR TENDERS with the reference: "Implementation of an employer survey on skill needs in Europeâ€. The estimated total budget is 4 million Euro. The aim of the framework contract is to refine the survey instrument piloted by Cedefop in 2012, collect data and deliver a data set which enables Cedefop and other stakeholders to carry out quantitative and qualitative analysis of emerging skills needs in organisations of different sizes covering the whole economy (including non-marketed services) in all EU Member States. This call has been published in the Supplement to the Official Journal of the European Union Contract notice No 2012/S 242-397076 of 15/12/2012. Deadline of submitting tenders: 6 February 2013 (17h00 for hand-delivered tenders). You can find all related tender documents under the following link: http://www.cedefop.europa.eu/EN/working-with-us/public-procurements/20786.aspx We would like to kindly ask you to disseminate this information to all those who might be interested.   With kind regards Cedefop skills analysis team Cedefop European Centre For the Development of Vocational Training You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---333906562-1067776898-1355738020=:7186 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable

Details are given below of a new open call for tenders at Cedefop, European Centre For the Development of Vocational Training, together with Web links to the tender documents.

For further information, please contact our procurement services: [log in to unmask]


CEDEFOP HAS LAUNCHED A NEW CALL FOR TENDERS
with the reference: "Implementation of an employer survey on skill needs in Europeâ€.

The estimated total budget is 4 million Euro.

The aim of the framework contract is to refine the survey instrument piloted by Cedefop in 2012, collect data and deliver a data set which enables Cedefop and other stakeholders to carry out quantitative and qualitative analysis of emerging skills needs in organisations of different sizes covering the whole economy (including non-marketed services) in all EU Member States.

This call has been published in the Supplement to the Official Journal of the European Union Contract notice No 2012/S 242-397076 of 15/12/2012.

Deadline of submitting tenders: 6 February 2013 (17h00 for hand-delivered tenders).

You can find all related tender documents under the following link:
http://www.cedefop.europa.eu/EN/working-with-us/public-procurements/20786.aspx

We would like to kindly ask you to disseminate this information to all those who might be interested.
 
With kind regards
Cedefop skills analysis team

Cedefop
European Centre For the Development of Vocational Training
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to [log in to unmask], leaving the subject line blank. ---333906562-1067776898-1355738020=:7186-- ========================================================================Date: Mon, 17 Dec 2012 10:55:14 +0000 Reply-To: "Staff, R" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Staff, R" <[log in to unmask]> Subject: JOB: Research Fellow in Retinal image processing Content-Type: multipart/alternative; boundary="_000_E21B305D9C7E3949BB58BC499F8C749BF29683ED0BVMAILAuoaabdn_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_E21B305D9C7E3949BB58BC499F8C749BF29683ED0BVMAILAuoaabdn_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable I would like to bring to the attention of the mail base the following opportunity Ref: YTM024R http://www.jobs.ac.uk/job/AFP687/research-fellow-in-retinal-imaging-processing/ A Research Fellowship in retinal image processing is available as part of the Grampian retinal screening program on a two year project led Dr Sam Philip. The primary aim of this multidisciplinary research group is the development and optimisation of quantitative retinal imaging methods and their applications to study diabetic retinopathy and its progression. Recent research activity form the program has produced automated techniques for image clarity and a system for grading such images. Located within one of Europe's largest hospital complexes, the group has access to excellent research facilities including large national and international data sets for software evaluation and testing. The research group is also part of national and international study consortia and has been the lead site on heath technology assessment studies. You will have a degree in physics, mathematics, statistics, computer science or a related discipline and experience in computer programming for image processing and analysis. Possession of a PhD is desirable but not essential. You will also have experience in data analysis, mathematical modelling, and computer programming (e.g., Matlab, C, C++, python), as well as excellent oral and written communication skills. Roger Roger T. Staff BSc MSc PhD FIPEM Aberdeen Royal Infirmary Aberdeen, Scotland N.H.S. Grampian Tel: UK-1224-552239 The University of Aberdeen is a charity registered in Scotland, No SC013683. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_E21B305D9C7E3949BB58BC499F8C749BF29683ED0BVMAILAuoaabdn_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

I would like to bring to the attention of the mail base the following opportunity 

 

 

Ref: YTM024R

 

http://www.jobs.ac.uk/job/AFP687/research-fellow-in-retinal-imaging-processing/

 

A Research Fellowship in retinal image processing is available as part of the Grampian retinal screening program on a two year project led Dr Sam Philip. The primary aim of this multidisciplinary research group is the development and optimisation of quantitative retinal imaging methods and their applications to study diabetic retinopathy and its progression. Recent research activity form the program has produced automated techniques for image clarity and a system for grading such images. Located within one of Europe's largest hospital complexes, the group has access to excellent research facilities including large national and international data sets for software evaluation and testing. The research group is also part of national and international study consortia and has been the lead site on heath technology assessment studies.

 

You will have a degree in physics, mathematics, statistics, computer science or a related discipline and experience in computer programming for image processing and analysis.  Possession of a PhD is desirable but not essential. You will also have experience in data analysis, mathematical modelling, and computer programming (e.g., Matlab, C, C++, python), as well as excellent oral and written communication skills.

Roger                             
Roger T. Staff  BSc MSc PhD FIPEM   
Aberdeen Royal Infirmary
Aberdeen, Scotland
N.H.S. Grampian    
Tel: UK-1224-552239


The University of Aberdeen is a charity registered in Scotland, No SC013683.
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to [log in to unmask], leaving the subject line blank. --_000_E21B305D9C7E3949BB58BC499F8C749BF29683ED0BVMAILAuoaabdn_-- ========================================================================Date: Mon, 17 Dec 2012 11:12:39 +0000 Reply-To: kingr <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: kingr <[log in to unmask]> Subject: Research Associate =?windows-1252?Q?–_?=Machine Learning and Plant Genomics MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="------------060809000907050406060105" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. --------------060809000907050406060105 Content-Type: text/plain; charset=windows-1252; format=flowed Content-Transfer-Encoding: 8bit *THE UNIVERSITY OF MANCHESTER* ** *FACULTY OF ENGINEERING AND PHYSICAL SCIENCES* ** *SCHOOL OF COMPUTER SCIENCE* ** *Research Associate – Machine Learning and Plant Genomics* ** The planet needs better crops. There are now ~7 billion people on the planet. Soon there will 8, and then 9 billion.They all have the right to healthy food and a good standard of living. There is also a need to stop global warming and halt the use of fossil fuels.Biofuels seem the only realistic replacement for plastics, jet-fuels, etc. /Time is very short to breed these new crops/.In Genomic Selection the basic idea is to use genome data and statistics/ machine learning to speed up the time needed to breed new crops: Learn a model that maps genotype to phenotype, then use this model to select plants for breeding.This is potentially much faster than conventional plant breeding. The appointee should hold a Ph.D. degree (or equivalent qualification) in machine learning, computational statistics, or related subject, and have an interest in applying there specialised knowledge to plant biology. The appointee will be expected to work closely with other researchers in in Manchester and Aberystwyth University, therefore excellent communication skills will be a requirement for the post. The start date will be before 31.3.13. See: *Reference :*EPS-01379 https://www.jobs.manchester.ac.uk/DisplayJob.aspx?pageno=1&htmlpage=JobDisplay&Jobid468&txtKeywords=&chkCategory=&lstRegion=&chkSalary"03,2204&chksubject=&optMatch=Any&clientids&AttachedSAF=0 ** You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --------------060809000907050406060105 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: 8bit

THE UNIVERSITY OF MANCHESTER

 

FACULTY OF ENGINEERING AND PHYSICAL SCIENCES

 

SCHOOL OF COMPUTER SCIENCE

 

Research Associate – Machine Learning and Plant Genomics

 

The planet needs better crops. There are now ~7 billion people on the planet. Soon there will 8, and then 9 billion.  They all have the right to healthy food and a good standard of living. There is also a need to stop global warming and halt the use of fossil fuels.  Biofuels seem the only realistic replacement for plastics, jet-fuels, etc. Time is very short to breed these new crops.  In Genomic Selection the basic idea is to use genome data and statistics/ machine learning to speed up the time needed to breed new crops: Learn a model that maps genotype to phenotype, then use this model to select plants for breeding.  This is potentially much faster than conventional plant breeding. 

 

The appointee should hold a Ph.D. degree (or equivalent qualification) in machine learning, computational statistics, or related subject, and have an interest in applying there specialised knowledge to plant biology. The appointee will be expected to work closely with other researchers in in Manchester and Aberystwyth University, therefore excellent communication skills will be a requirement for the post.  The start date will be before 31.3.13.

 

See: Reference :EPS-01379

https://www.jobs.manchester.ac.uk/DisplayJob.aspx?pageno=1&htmlpage=JobDisplay&Jobid468&txtKeywords=&chkCategory=&lstRegion=&chkSalary"03,2204&chksubject=&optMatch=Any&clientids&AttachedSAF=0

 

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to [log in to unmask], leaving the subject line blank. --------------060809000907050406060105-- ========================================================================Date: Mon, 17 Dec 2012 11:58:36 +0000 Reply-To: Christophe Andrieu <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Christophe Andrieu <[log in to unmask]> Subject: Lectureships in Probability or Statistics at Bristol Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Lectureships in Probability or Statistics Probability and Statistics group School of Mathematics University of Bristol Closing date for applications : 11-Feb-2013 Details : http://www.bristol.ac.uk/jobs/find/details.html?nPostingId=567&nPostingTargetId=1427&id=Q50FK026203F3VBQBV7V77V83&LG=UK 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 potential in any area within probability or statistics. The Probability and Statistics Group at the University of Bristol is internationally recognised with interests in a wide range of areas within Probability and Statistics. In statistics, there is current research in various aspects of modelling and computational statistics (e.g. wavelets in statistics, MCMC methodology, particle filters), Bayesian modelling, nonparametric regression, spatial statistics, time series analysis and applications in climatology, statistical genetics and genomics, epidemiology and astronomy. Research in probability includes random walks and random environments, limit laws of probability, mathematical aspects of statistical physics, Markov decision theory and game theory, and their application to the modelling of biological behaviour and in operations research, information theory, stochastic optimization, stability of stochastic dynamics, interacting stochastic systems including population genetics. The Group has strong links with the Heilbronn Institute for Mathematical Research, which focuses on discrete mathematics, probability and statistics and funds about 20 postdoctoral fellows in the School of Mathematics. We seek applicants whose research further broadens and expands upon the strengths of the existing group. We particularly welcome suitably qualified female applicants, as women are currently under-represented in the School of Mathematics. For an informal discussion about the posts, please contact: Professor Christophe ANDRIEU on +44 (0)117 928 9134 or [log in to unmask] 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, 17 Dec 2012 17:36:52 +0000 Reply-To: Fiona Steele <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Fiona Steele <[log in to unmask]> Subject: SEMINAR: Don Hedeker, 26 February, University of Bristol MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Content-Disposition: inline Message-ID: <[log in to unmask]> Joint Meeting of the Royal Statistical Society Avon local group and LEMMA node of the National Centre for Research Methods “Mood Changes Associated with Smoking in Adolescents: Applications of Mixed-Effects Location Scale Models for Cross-Sectional and Longitudinal Ecological Momentary Assessment (EMA) Data” Don Hedeker (Professor of Biostatistics, University of Illinois) DATE: Tuesday 26 February TIME: 4-5pm (tea/coffee at 3.30pm) LOCATION: School of Geographical Sciences (room tbc), University of Bristol REGISTRATION AND QUERIES: This event is open to all. There is no fee but please register your attendance using the online booking form: http://www.bris.ac.uk/cmm/software/mlwin/support/workshops/bookingseminar.html. The event is expected to be very popular - please ensure you are able to attend and let us know if you are unable to use your place so we can offer it to someone else. If you have any queries, please email [log in to unmask] ABSTRACT: For longitudinal data, mixed models include random subject effects to indicate how subjects influence their responses over the repeated assessments. The error variance and the variance of the random effects are usually considered to be homogeneous. These variance terms characterize the within-subjects (error variance) and between-subjects (random-effects variance) variation in the data. In studies using Ecological Momentary Assessment (EMA), up to thirty or forty observations are often obtained for each subject, and interest frequently centres around changes in the variances, both within- and between- subjects. Also, such EMA studies often include several waves of data collection. In this presentation, we focus on an adolescent smoking study using EMA at both one and several measurement waves, where interest is on characterizing changes in mood variation associated with smoking. We describe how covariates can influence the mood variances, and also describe an extension of the standard mixed model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. Additionally, we allow the location and scale random effects to be correlated. These mixed-effects location scale models have useful applications in many research areas where interest centres on the joint modeling of the mean and variance structure. ABOUT THE SPEAKER: Professor Don Hedeker is an international leader in the development and application of multilevel models for longitudinal and clustered data. He is the primary author of the popular ‘Longitudinal Data Analysis’ graduate textbook and the SuperMix mixed-effects software. He is a Fellow of the American Statistical Association, associate editor for Statistics in Medicine and the Journal of Statistical Software, and the author of numerous peer-reviewed papers. www.ihrp.uic.edu/researcher/donald-hedeker-phd. This event is sponsored by the LEMMA node of the ESRC National Centre for Research Methods (http://www.bris.ac.uk/cmm/research/lemma/3/). 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, 17 Dec 2012 12:13:14 -0600 Reply-To: Todd Melander <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Todd Melander <[log in to unmask]> Subject: A problem with truncated data MIME-Version: 1.0 Content-Type: multipart/alternative; boundary7d7b6d97a2b58d1b04d11055d3 Message-ID: <[log in to unmask]> --047d7b6d97a2b58d1b04d11055d3 Content-Type: text/plain; charset=ISO-8859-1 Hi all, I have the basics of a very simple problem, yet I'm embarrassed to say I'm not confident in how to handle a customization that has been presented to me. Basics:: To graduate to another level of Wilderness Scout, scouts have to clear 10 hurdles in order from easiest to hardest. If a scout is unable, say, to clear the fourth level, she would not continue, and her score is recorded as 3, the number of hurdles cleared. Background information is collected on each scout prior to testing. Three years of data are usually provided, and the client asks for predicted scores for an upcoming class they've provide the same background info for. While not perhaps optimally correct, I've used OLS regression techniques, and I've been treating the "year" as different intercepts but as not interacting with the background variables. This has work fine for their purposes. Because of some major changes (including new management, new variables collected and different hurdles), the equations and data I've used from prior three year periods are no longer relevant. The Twist: After three years under the new scenario, the client would like another equation to predict the number of hurdles cleared. This time, though, the data are not as uncomplicated. The first year data set is basically the same: scores range from 0 to 10. After that year, however, new management decided in the second year to pass scouts through if they clear the first eight hurdles, so scores are 0 to 8. The third year, they decided to graduate scouts if they clear only the first six hurdles, so scores are 0 to 6. The problem: Old management has taken over again and re-implemented all ten of the current hurdles to be cleared for "graduation." They want to predict again how many of the ten hurdles each of the next class' individuals will clear, from 0 to 10. My Year One data set has scores up to 10, Year Two up to 8, and Year Three up to 6. If I had only been provided with Year One data, I would have basically proceeded as I had last time I'd been given data. *My questions: 1. How do I best make use of Years Two and Three along with Year One? 2. Is there another method or strategy that might better predict scores?* As a warning, I'm not terribly comfortable using survival methods, and my deadline, as well as my client's, is too near to probably implement survival analysis in the immediate. However, this will come around again, so I'm interested in all suggestions. Thank you, Todd You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --047d7b6d97a2b58d1b04d11055d3 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Hi all,

I have the basics of a very simple problem, yet I'm embarrassed to say I'm not confident in how to handle a customization that has been presented to me.  

 

Basics:: To graduate to another level of Wilderness Scout, scouts have to clear 10 hurdles in order from easiest to hardest.  If a scout is unable, say, to clear the fourth level, she would not continue, and her score is recorded as 3, the number of hurdles cleared.  Background information is collected on each scout prior to testing.  Three years of data are usually provided, and the client asks for  predicted scores for an upcoming class they've provide the same background info for.  While not perhaps optimally correct, I've used OLS regression techniques, and I've been treating the "year" as different intercepts but as not interacting with the background variables.  This has work fine for their purposes.  Because of some major changes (including new management, new variables collected and different hurdles), the equations and data I've used from prior three year periods are no longer relevant.

 

The Twist:  After three years under the new scenario, the client would like another equation to predict the number of hurdles cleared.  This time, though, the data are not as uncomplicated.  The first year data set is basically the same: scores range from 0 to 10.  After that year, however, new management decided in the second year to pass scouts through if they clear the first eight hurdles, so scores are 0 to 8.  The third year, they decided to graduate scouts if they clear only the first six hurdles, so scores are 0 to 6.

 

The problem: Old management has taken over again and re-implemented all ten of the current hurdles to be cleared for "graduation."  They want to predict again how many of the ten hurdles each of the next class' individuals will clear, from 0 to 10.  My Year One data set has scores up to 10, Year Two up to 8, and Year Three up to 6.  If I had only been provided with Year One data, I would have basically proceeded as I had last time I'd been given data.  My questions: 1. How do I best make use of Years Two and Three along with Year One? 2. Is there another method or strategy that might better predict scores?

 

As a warning, I'm not terribly comfortable using survival methods, and my deadline, as well as my client's, is too near to probably implement survival analysis in the immediate. However, this will come around again, so I'm interested in all suggestions.  Thank you,

 

Todd

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to [log in to unmask], leaving the subject line blank. --047d7b6d97a2b58d1b04d11055d3-- ========================================================================Date: Mon, 17 Dec 2012 20:01:02 +0000 Reply-To: Simon Preston <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Simon Preston <[log in to unmask]> Subject: JOB: Postdoc position at University of Nottingham MIME-Version: 1.0 Content-Type: multipart/alternative; boundary cf302d4d006fdb3a04d111d8bc Message-ID: <[log in to unmask]> --20cf302d4d006fdb3a04d111d8bc Content-Type: text/plain; charset=ISO-8859-1 A Research Associate/Fellow position is available at the Centre for Plant Integrative Biology, School of Biosciences at the University of Nottingham, UK. The project will be supervised by Dr Simon Preston, Prof. Oliver Jensen and Dr Erik Murchie. The candidate will be responsible for the development of mathematical, computational and statistical models which can be used to predict photosynthetic behaviour in fluctuating light conditions. The 2-year position is funded by BBSRC. Full details are available at http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI10504 Contact: [log in to unmask] or [log in to unmask] Closing date: 11 January 2013 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --20cf302d4d006fdb3a04d111d8bc Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

A Research Associate/Fellow position is available at the Centre for Plant Integrative Biology, School of Biosciences at the University of Nottingham, UK.  The project will be supervised by Dr Simon Preston, Prof. Oliver Jensen and Dr Erik Murchie.  The candidate will be responsible for the development of mathematical, computational and statistical models which can be used to predict photosynthetic behaviour in fluctuating light conditions.  The 2-year position is funded by BBSRC.

Full details are available at
http://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI10504

Contact: [log in to unmask] or [log in to unmask]

Closing date: 11 January 2013
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to [log in to unmask], leaving the subject line blank. --20cf302d4d006fdb3a04d111d8bc-- ========================================================================Date: Tue, 18 Dec 2012 08:58:46 +0000 Reply-To: Francesca Ieva <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Francesca Ieva <[log in to unmask]> Subject: BAYSM 2013 - BAyesian Young Statistician Meeting Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> *** Apologize for cross-posting *** Dear all, we would like to announce the first Bayesian Young Statistician Meeting (BAYSM), to be held in CNR IMATI in Milano from Wednesday 5th June to Thursday 5th June, 2013. BAYESIAN YOUNG STATISTICIANS MEETING (BAYSM 2013) - www.mi.imati.cnr.it/conferences/BAYSM2013 BAYSM 2013 is a fantastic opportunity to present and discuss your work with other young statisticians in a relaxed and friendly atmosphere, with senior discussant giving you suggestions and comments aimed at improving your work. Attendees are encouraged to give a talk and/or submit a poster. The meeting is aimed at early career statisticians, i.e. people carrying out a PhD, post-doc or finishing the Master Degree with outstanding theses/projects dealing with Bayesian statistics. Presentations on current PhD research are therefore welcomed as well as talks on work in progress on applied experience. The registration and submissions are now open, with the following deadlines: Submission closing: February 28, 2013 Notification of acceptance: March 15, 2013 No conference fee is due, but registration is mandatory, using the form available on the website. Electronic submission by email is required by sending both the tex file (together with enclosed pictures) and the pdf file to [log in to unmask] Accepted papers will be published on the meeting website. Moreover, the abstract contributions and pleanry lectures will be also included in a Springer book from the series “Springer Proceedings in Mathematics & Statisticsâ€. All information on BAYSM 2013, including the sign-up link for the conference and accommodation, can be found on the conference website at http://www.mi.imati.cnr.it/conferences/BAYSM2013/index.html For further information or any doubt and question, please do not hesitate to contact us. We are looking forward to seeing many young statisticians Milan next June! On behalf of the Organizing Committee of BAYSM2013 Francesca Ieva and Ettore Lanzarone 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, 18 Dec 2012 10:53:56 -0000 Reply-To: Stewart Ellison <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Stewart Ellison <[log in to unmask]> Subject: Looking for a role to advance your technical SAS programming skills in the new year??? MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_NextPart_000_005B_01CDDD0D.FA264DA0" Message-ID: <[log in to unmask]> This is a multipart message in MIME format. ------=_NextPart_000_005B_01CDDD0D.FA264DA0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit PHASTAR is currently looking for a clinical trial SAS programmer with at least three years industry experience PHASTAR is a London based CRO specialising in statistics and programming consultancy. Our programming division continues to grow, and we are currently looking for a SAS programmer with at least three years' experience to provide support to an on-going internal study with a top ten pharma client. As a PHASTAR SAS programmer, you will be involved in: reporting studies using SAS (sometimes S+ and R), with responsibility for programming and QC of datasets and production of TFL's. You will also be involved in mapping SDTM and ADaM datasets in CDISC, and experience in this field is ideal. - 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 possess a powerful business model and a solid reputation for quality that consistently wins proposals against other top statistical CRO's. You will be supported by experienced managers, familiar with 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 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_005B_01CDDD0D.FA264DA0 Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable

PHASTAR is currently looking for a clinical trial SAS programmer with at least three years industry experience

PHASTAR is a London based CRO specialising in statistics and programming consultancy. Our programming division continues to grow, and we are currently looking for a SAS programmer with at least three years’ experience to provide support to an on-going internal study with a top ten pharma client.

 

As a PHASTAR SAS programmer, you will be involved in: reporting studies using SAS (sometimes S+ and R), with responsibility for programming and QC of datasets and production of TFL’s. You will also be involved in mapping SDTM and ADaM datasets in CDISC, and experience in this field is ideal.

 

- 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 possess a powerful business model and a solid reputation for quality that consistently wins proposals against other top statistical CRO’s. You will be supported by experienced managers, familiar with 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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to [log in to unmask], leaving the subject line blank. ------=_NextPart_000_005B_01CDDD0D.FA264DA0-- ========================================================================Date: Tue, 18 Dec 2012 11:17:42 +0000 Reply-To: MURRAY DOYLE <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: MURRAY DOYLE <[log in to unmask]> Subject: Rare events: sample size MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryàcb4efe29888106de04d11ea5de Message-ID: <[log in to unmask]> --e0cb4efe29888106de04d11ea5de Content-Type: text/plain; charset=ISO-8859-1 Hi All - would much appreciate any thoughts on how i judge my sample size requirements in the following: am studying vehicle Accidents (rare events) recorded over time (measured as `Vehicle Years on the road') - ultimately to calculate an accident rate for a given set of vehicles, and then to test whether Vehicle A is more prone to accidents than Vehicle B, C, D etc. clearly there are alot of influences at play here - age, gender, etc. - but i'm ignoring these for the moment. Question: how do i decide whether i've got a sufficient sample of Accidents and/or Vehicle Years for a given vehicle...or whether i need to try and collect more data. Many thanks, Sara You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --e0cb4efe29888106de04d11ea5de Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Hi All - would much appreciate any thoughts on how i judge my sample size requirements in the following:
am studying vehicle Accidents (rare events) recorded over time (measured as `Vehicle Years on the road') - ultimately to calculate an accident rate for a given set of vehicles, and then to test whether Vehicle A is more prone to accidents than Vehicle B, C, D etc.
 
clearly there are alot of influences at play here - age, gender, etc. - but i'm ignoring these for the moment.
 
Question: how do i decide whether i've got a sufficient sample of Accidents and/or Vehicle Years for a given vehicle...or whether i need to try and collect more data.
 
Many thanks, Sara
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to [log in to unmask], leaving the subject line blank. --e0cb4efe29888106de04d11ea5de-- ========================================================================Date: Tue, 18 Dec 2012 12:03:57 +0000 Reply-To: "Lee, Amanda" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Amanda" <[log in to unmask]> Subject: JOB: Senior RF in medical statistics, Univeristy of Aberdeen Content-Type: multipart/alternative; boundary="_000_0944F1EA26218946AD98F690837DED49420E1FE50DVMAILAuoaabdn_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_0944F1EA26218946AD98F690837DED49420E1FE50DVMAILAuoaabdn_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable UNIVERSITY OF ABERDEEN SCHOOL OF MEDICINE & DENTISTRY DIVISION OF APPLIED HEALTH SCIENCES SENIOR RESEARCH FELLOW IN MEDICAL STATISTICS REF NO: YHS143RX We are seeking a highly motivated and ambitious statistician to join the Medical Statistics Team which is a key part of the Institute of Applied Health Sciences. Applicants should have a sound background in statistics from a PhD or an MSc in statistics or a closely related discipline. Experience in the design, conduct and analysis of quantitative research projects and experience of teaching statistics at undergraduate and/or postgraduate level are expected. Good oral and written communication skills and the ability to work in a team are essential. The Institute of Applied Health Sciences was 5-rated in the last Research Assessment Exercise in community-based clinical subjects. The research strategy of the Institute includes the application of epidemiological, statistical, health services research, and health economic methods to NHS clinical priority areas. The Institute works in close collaboration with the NHS at primary and secondary care levels. You will provide statistical support to a variety of research projects as well as offer statistical consultancy to staff in the University and Grampian NHS. In addition, you will be involved in teaching on various undergraduate and postgraduate courses and a number of courses for staff. You will also be expected to develop your own area of research consistent with the Institute of Applied Health Science's research strategy. Salary will be paid on the Grade 7 salary scale (£37,382-£44,607 per annum) with placement according to qualifications and experience. Informal enquiries are welcome and should be made to Professor Amanda Lee (tel: 01224 437111, e-mail [log in to unmask]). Should you require a visa to undertake paid employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship and Tier 2 visa. Please do not hesitate to contact Miss Fiona MacAskill, HR Graduate Trainee, for further information on this. Online application forms are available from www.abdn.ac.uk/jobs. The closing date for the receipt of applications is 16 January 2013 Ref: YHS143RX The University pursues a policy of equal opportunities in the appointment and promotion of staff. Professor Amanda Lee Professor of Medical Statistics & Deputy Head of Division of Applied Health Sciences Room 1.006 Polwarth Building Division of Applied Health Sciences Foresterhill Aberdeen AB25 2ZD *: +44 (0) 1224 437111 6: +44 (0) 1224 437285 *: [log in to unmask] The University of Aberdeen is a charity registered in Scotland, No SC013683. The University of Aberdeen is a charity registered in Scotland, No SC013683. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_0944F1EA26218946AD98F690837DED49420E1FE50DVMAILAuoaabdn_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

UNIVERSITY OF ABERDEEN

 

SCHOOL OF MEDICINE & DENTISTRY

 

DIVISION OF APPLIED HEALTH SCIENCES

 

SENIOR RESEARCH FELLOW IN MEDICAL STATISTICS

 

REF NO: YHS143RX

 

 

We are seeking a highly motivated and ambitious statistician to join the Medical Statistics Team which is a key part of the Institute of Applied Health Sciences.  Applicants should have a sound background in statistics from a PhD or an MSc in statistics or a closely related discipline.  Experience in the design, conduct and analysis of quantitative research projects and experience of teaching statistics at undergraduate and/or postgraduate level are expected.  Good oral and written communication skills and the ability to work in a team are essential.

 

The Institute of Applied Health Sciences was 5-rated in the last Research Assessment Exercise in community-based clinical subjects.  The research strategy of the Institute includes the application of epidemiological, statistical, health services research, and health economic methods to NHS clinical priority areas.  The Institute works in close collaboration with the NHS at primary and secondary care levels. 

 

You will provide statistical support to a variety of research projects as well as offer statistical consultancy to staff in the University and Grampian NHS.  In addition, you will be involved in teaching on various undergraduate and postgraduate courses and a number of courses for staff.  You will also be expected to develop your own area of research consistent with the Institute of Applied Health Science’s research strategy. 

 

Salary will be paid on the Grade 7 salary scale (£37,382-£44,607 per annum) with placement according to qualifications and experience.

 

Informal enquiries are welcome and should be made to Professor Amanda Lee (tel: 01224 437111, e-mail [log in to unmask]).

 

Should you require a visa to undertake paid employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship and Tier 2 visa.  Please do not hesitate to contact Miss Fiona MacAskill, HR Graduate Trainee, for further information on this.

 

Online application forms are available from www.abdn.ac.uk/jobs. 

 

The closing date for the receipt of applications is 16 January 2013

 

Ref: YHS143RX

 

The University pursues a policy of equal opportunities in the appointment and promotion of staff.

 

 

 

 

Professor Amanda Lee

Professor of Medical Statistics & Deputy Head of Division of Applied Health Sciences

Room 1.006 Polwarth Building

Division of Applied Health Sciences

Foresterhill

Aberdeen

AB25 2ZD

 

(: +44 (0) 1224 437111
6: +44 (0) 1224 437285

*: [log in to unmask]

 

 



The University of Aberdeen is a charity registered in Scotland, No SC013683.



The University of Aberdeen is a charity registered in Scotland, No SC013683.
 You may leave the list at any time by sending the command

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to [log in to unmask], leaving the subject line blank. --_000_0944F1EA26218946AD98F690837DED49420E1FE50DVMAILAuoaabdn_-- ========================================================================Date: Tue, 18 Dec 2012 13:50:42 +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: Contract statistician opportunities available in the new year. 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PgoNCllvdSBtYXkgbGVhdmUgdGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGluZyB0aGUgY29t bWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9Im1haWx0bzps aXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8L2E+LCBsZWF2 aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_92E7DB5F663712419ABCF81571D7F419CE805BHRMWSXS1478emeaha_-- ========================================================================Date: Tue, 18 Dec 2012 16:10:27 +0000 Reply-To: Fariba Saidian <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Fariba Saidian <[log in to unmask]> Subject: Fw: Statistical support/good rates MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="-1916487321-1601339913-1355847027=:1690" Message-ID: <[log in to unmask]> ---1916487321-1601339913-1355847027=:1690 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable Dear List, Firstly let me wish you a veryHappy Christmas and Season's Greetings. I am a mature statistician based in London who was working on other subjects rather than statistics for a while, so that I am now, in need of some initial training. If you need an assistant, weather part time or full time, for any project, small or big, without spending too much, then I may be the person that you need. Please do not hesitate to contact me for an informal talk, where I could answer all your questions, or email me, if you want  to see my CV. Best wishes, Fariba Saidian You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ---1916487321-1601339913-1355847027=:1690 Content-Type: text/html; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable



Dear List,
Firstly let me wish you a very Happy Christmas and Season's Greetings.
I am a mature statistician based in London who was working on other subjects rather than statistics for a while, so that I am now, in need of some initial training.
If you need an assistant, weather part time or full time, for any project, small or big, without spending too much, then I may be the person that you need.
Please do not hesitate to contact me for an informal talk, where I could answer all your questions, or email me, if you want  to see my CV.
Best wishes,
Fariba Saidian





You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ---1916487321-1601339913-1355847027=:1690-- ========================================================================Date: Tue, 18 Dec 2012 17:02:04 +0000 Reply-To: Cathryn Lewis <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Cathryn Lewis <[log in to unmask]> Subject: PhD studentship opportunities in Statistical Genetics at King's College London Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> There are several opportunities for PhD studentships in Statistical Genetics at King’s College London in different research programmes. 1) MRC Centre for Transplantation http://www.findaphd.com/search/PhDDetails.aspx?CAID=1052&LID=132 . Four-year MRC MRes/PhD Studentships. In the Project handbook, see Project 15, Statistical Methods for Biomarker-based Prediction Models in Transplantation, with supervisors Irene Rebollo Mesa ([log in to unmask] ) and Mike Weale ([log in to unmask]) Closing date 22nd January, 2013 2) Biomedical Research Centre, Guy’s and St Thomas’ NHS Foundation Trust and King’s College London http://www.findaphd.com/search/PhDDetails.aspx?CAID=1058&LID=1718 FOUR YEAR PhD STUDENTSHIPS IN TRANSLATIONAL MEDICINE 2013 http://www.guysandstthomasbrc.nihr.ac.uk/Resources/Professionals/Training/Fellowshipinfo/2013/brcphdstudentshipscallforapplications2013.pdf See projects from Cathryn Lewis and Michael Weale in the project list Closing date 3rd January, 2013 3) Social, Genetic & Developmental Psychiatry (1+3 PhD Programme), Institute of Psychiatry http://www.findaphd.com/search/PhDDetails.aspx?CAID=739&LID=959 This interdisciplinary research programme has statistical genetics as a core component, and applications from students in the mathematical and statistical sciences are encouraged. Closing date 14th January, 2012 If you are interested, Mike Weale ([log in to unmask]) and I would be happy to talk through the options and help with the application process. Cathryn Lewis Professor of Genetic Epidemiology and Statistics, King's College London http://www.kcl.ac.uk/medicine/research/divisions/gmm/Departments/mmg/researchgroups/WealeGroup/statisticalgenetics.aspx MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, KCL Tel: 44-(0)20-7848-0661. Fax: 44-(0)20-7848-0866 and Division of Genetics and Molecular Medicine, KCL School of Medicine Tel: 44-(0)20-7188-2601. Fax: 44-(0)20-7188-2585 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, 18 Dec 2012 17:24:12 +0000 Reply-To: Kingsley Purdam <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Kingsley Purdam <[log in to unmask]> Subject: Short Courses in Research and Social Statistics In-Reply-To: <[log in to unmask]> Mime-Version: 1.0 (Apple Message framework v1084) Content-Type: multipart/alternative; boundary=Apple-Mail-428--412869058 Message-ID: <[log in to unmask]> --Apple-Mail-428--412869058 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=windows-1252 > CCSR Short Courses in Statistics and Data Analysis > > The Centre for Census and Survey Research's short course programme (www.ccsr.ac.uk) at the University of Manchester continues in the spring 2013. A small number of places are still available. See www.ccsr.ac.uk/courses/list > > Introduction to Stata - 23rd January 2013 > The course provides an introductory training in STATA, a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities. > > Introduction to Bayesian Analysis using WinBUGS - 24th and 25th January 2013 > Use of Bayesian methods is becoming increasingly widespread within quantitative social and health sciences, particularly for analysing data with complex structure, such as hierarchical or multilevel data. However, very few applied researchers have any formal training in Bayesian methods. This two-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to highlight some of the potential benefits that a Bayesian approach can offer. There is a large practical component to this course with time for hands-on data analysis using examples drawn mainly from the social and health sciences. No previous experience of Bayesian methods or WinBUGS is necessary. > > Introduction to R - 1st February 2013 > This course is aimed at people who wish to familiarise themselves with the freely available statistical analysis software R. R is a command language that can be used to carry out standard statistical analyses but also has powerful facilities to enable users to create their own routines or implement methods designed by other researchers. The course will: introduce participants to the R environment; explain how to enter data and run simple descriptive statistical methods; describe how to run standard procedures; show how to run commands designed by other researchers and how to develop commands for non-standard analyses. For background materials, software and reading please go to http://www.r-project.org/ > > Latent Factor Analysis 6th February 2013 > This short course covers latent variables and factor analysis at an introductory and intermediate level. A latent variable is a thing (such as an attitude, an orientation, an experience or a level, e.g. the level of well-being) that has been measured using a set of related indicators. A set of three or more indicators can be considered the manifest variables, from which a single latent variable might be derived. Factor analysis is one way to derive a single factor from a set of variables, and is thus called a data reduction method. The course is suitable both for primary-data collection researchers (who may need to write a suitable questionnaire), and for those who want to analyse secondary data sets. > > Understanding Statistics - 7th March 2013 > This course is an opportunity for participants to ask the basic statistical questions they have always wanted to ask. It focuses on basic statistical concepts such as: the four levels of measurement, measures of central tendency (median, mean, and mode), measures of dispersion (percentiles, variance, standard deviation, and standard error), confidence intervals, hypothesis testing, design effects and the issue of causality. These skills allow participants to interpret and evaluate existing research findings within the remit of basic statistics. The course is composed of a combination of lectures and practicals. The course will provide participants with the expertise required to evaluate the meaning, robustness and generalisability of basic statistical research findings. > > Introduction to Sampling - 8th March 2013 > This course introduces participants to what survey sampling is, why it is important, and how it is implemented. The course focuses on the practical aspects as well as some of the mathematics. It is composed of a combination of lectures and practicals. Content includes: types of samples, how to construct a ‘sampling frame’, types of probability samples (e.g., simple random, systematic, stratified, multi-stage clustered, unequal probabilities of selection), what ‘sampling error’ is, the role of sampling error in confidence intervals, how to determine sample size and an introduction to the effects of different types of sample designs on confidence intervals. > > Introduction to Structural Equation Modelling using Mplus - 13-15th March 2013 > Structural Equation Models (SEM) amalgamate regression analysis, path analysis and factor analysis, allowing for more richly detailed statistical models to be specified and compared to data than by using these techniques individually. Historically, SEM models were confined to the analysis of continuous observed data, limiting their usefulness in applied social research, where many phenomena are inherently discrete or are measured only with coarse-grained instruments. Advances in recent years have made SEM methods for categorical data available to applied researchers. This course aims to train quantitative social scientists to use the Mplus programme in the application of structural equation modelling techniques to non-continuous observed data. > > Advanced Generalised Linear Models - 20th-21st March 2013 > This course will introduce the modelling of relationships between variables with an emphasis on practical considerations. It will include: an overview of statistical modelling, the exponential family of distributions, linear regression models, quantile regression, one and two-way contingency tables, measures of association, odds ratios and properties of odds ratios, logistic regression, Poisson regression and extensions to random effects. Participants should have an understanding of basic data analytical techniques and concepts such as: cross tabulations, significance testing, hypothesis testing and correlation. An understanding of linear regression is required as is some understanding of binary logistic regression. > > There are a number of other courses available as part of the CCSR Short Course programme. For more information and to book please go to www.ccsr.ac.uk/courses/list > > New courses are likely to be added throughout the year. > > thanks, Kingsley > > Dr. K. Purdam > [log in to unmask] > PGT and Short Course Director > CCSR and Social Statistics > University of Manchester > M13 9PL > UK > www.ccsr.ac.uk > 01612754719 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --Apple-Mail-428--412869058 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=windows-1252

CCSR Short Courses in Statistics and Data Analysis

The Centre for Census and Survey Research's short course programme (www.ccsr.ac.uk) at the University of Manchester continues in the spring 2013. A small number of places are still available. See www.ccsr.ac.uk/courses/list

Introduction to Stata - 23rd January 2013
The course provides an introductory training in STATA, a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities.

Introduction to Bayesian Analysis using WinBUGS - 24th and 25th January 2013
Use of Bayesian methods is becoming increasingly widespread within quantitative social and health sciences, particularly for analysing data with complex structure, such as hierarchical or multilevel data. However, very few applied researchers have any formal training in Bayesian methods. This two-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to highlight some of the potential benefits that a Bayesian approach can offer. There is a large practical component to this course with time for hands-on data analysis using examples drawn mainly from the social and health sciences. No previous experience of Bayesian methods or WinBUGS is necessary.

Introduction to R - 1st February 2013
This course is aimed at people who wish to familiarise themselves with the freely available statistical analysis software R. R is a command language that can be used to carry out standard statistical analyses but also has powerful facilities to enable users to create their own routines or implement methods designed by other researchers. The course will: introduce participants to the R environment; explain how to enter data and run simple descriptive statistical methods; describe how to run standard procedures; show how to run commands designed by other researchers and how to develop commands for non-standard analyses. For background materials, software and reading please go to http://www.r-project.org/

Latent Factor Analysis 6th February 2013
This short course covers latent variables and factor analysis at an introductory and intermediate level.  A latent variable is a thing (such as an attitude, an orientation, an experience or a level, e.g. the level of well-being) that has been measured using a set of related indicators.  A set of three or more indicators can be considered the manifest variables, from which a single latent variable might be derived.  Factor analysis is one way to derive a single factor from a set of variables, and is thus called a data reduction method. The course is suitable both for primary-data collection researchers (who may need to write a suitable questionnaire), and for those who want to analyse secondary data sets.

Understanding Statistics - 7th March 2013
This course is an opportunity for participants to ask the basic statistical questions they have always wanted to ask. It focuses on basic statistical concepts such as: the four levels of measurement, measures of central tendency (median, mean, and mode), measures of dispersion (percentiles, variance, standard deviation, and standard error), confidence intervals, hypothesis testing, design effects and the issue of causality. These skills allow participants to interpret and evaluate existing research findings within the remit of basic statistics. The course is composed of a combination of lectures and practicals. The course will provide participants with the expertise required to evaluate the meaning, robustness and generalisability of basic statistical research findings.

Introduction to Sampling - 8th March 2013
This course introduces participants to what survey sampling is, why it is important, and how it is implemented. The course focuses on the practical aspects as well as some of the mathematics. It is composed of a combination of lectures and practicals. Content includes: types of samples, how to construct a ‘sampling frame’, types of probability samples (e.g., simple random, systematic, stratified, multi-stage clustered, unequal probabilities of selection), what ‘sampling error’ is, the role of sampling error in confidence intervals, how to determine sample size and an introduction to the effects of different types of sample designs on confidence intervals.

Introduction to Structural Equation Modelling using Mplus - 13-15th March 2013
Structural Equation Models (SEM) amalgamate regression analysis, path analysis and factor analysis, allowing for more richly detailed statistical models to be specified and compared to data than by using these techniques individually. Historically, SEM models were confined to the analysis of continuous observed data, limiting their usefulness in applied social research, where many phenomena are inherently discrete or are measured only with coarse-grained instruments. Advances in recent years have made SEM methods for categorical data available to applied researchers. This course aims to train quantitative social scientists to use the Mplus programme in the application of structural equation modelling techniques to non-continuous observed data.

Advanced Generalised Linear Models - 20th-21st March 2013
This course will introduce the modelling of relationships between variables with an emphasis on practical considerations. It will include: an overview of statistical modelling, the exponential family of distributions, linear regression models, quantile regression, one and two-way contingency tables, measures of association, odds ratios and properties of odds ratios, logistic regression, Poisson regression and extensions to random effects. Participants should have an understanding of basic data analytical techniques and concepts such as: cross tabulations, significance testing, hypothesis testing and correlation. An understanding of linear regression is required as is some understanding of binary logistic regression.

There are a number of other courses available as part of the CCSR Short Course programme. For more information and to book please go to www.ccsr.ac.uk/courses/list 

New courses are likely to be added throughout the year. 

thanks, Kingsley

Dr. K. Purdam
[log in to unmask]
PGT and Short Course Director
CCSR and Social Statistics
University of Manchester
M13 9PL
UK
www.ccsr.ac.uk
01612754719

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --Apple-Mail-428--412869058-- ========================================================================Date: Wed, 19 Dec 2012 11:59:11 +0000 Reply-To: "Lee, Adrian" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Lee, Adrian" <[log in to unmask]> Subject: JOB: 12 Months Contract Biostatistician (London) Content-Type: multipart/alternative; boundary="_000_865C735EC628874680AFDB5D6931883A011E150BHRMWSXS1478emea_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_865C735EC628874680AFDB5D6931883A011E150BHRMWSXS1478emea_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 CkRlYXIgQWxsc3RhdCwKClBsZWFzZSBmaW5kIGJlbG93IG9uZSBvZiBvdXIgbGF0ZXN0IGNvbnRy YWN0IEJpb3N0YXRpc3RpY2lhbiB2YWNhbmN5IGZvciB0aGUgVUsgYW5kIGEgYnJpZWYgam9iIGRl c2NyaXB0aW9uIHdvcmtpbmcgd2l0aCBhIHBoYXJtYWNldXRpY2FsIGNsaWVudC4KCkJJT1NUQVRJ 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aXN0IGF0IGFueSB0aW1lIGJ5IHNlbmRpbmcgdGhlIGNvbW1hbmQNCjxwPg0KU0lHTk9GRiBhbGxz dGF0DQo8L3A+PHA+DQp0byA8YSBocmVmPSJtYWlsdG86bGlzdHNlcnZAamlzY21haWwuYWMudWsi Pmxpc3RzZXJ2QGppc2NtYWlsLmFjLnVrPC9hPiwgbGVhdmluZyB0aGUgc3ViamVjdCBsaW5lIGJs YW5rLg0K --_000_865C735EC628874680AFDB5D6931883A011E150BHRMWSXS1478emea_-- ========================================================================Date: Wed, 19 Dec 2012 11:50:04 +0000 Reply-To: Jurek Gurycz <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Jurek Gurycz <[log in to unmask]> Subject: Biometrics journal vol. 53 to 65 (1997 to 2009) looking for new home Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Hello, I was wondering if anyone is interested in the old volumes of Biometrics . These can be picked up from our office in Milton Keynes (very close to junction 14 on M1) or from Bedford Volumes from 53 to 65 (years 1997 to 2009). Some of the years have one or two issues missing, the numbers 56 through to 62 are complete. If interested please contact us via e-mail at by the end of 2012 otherwise they will end up in the skip (confirmation of interest needed soon, collection can be arranged later, if December not convenient). Thanks Jurek 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: Wed, 19 Dec 2012 12:42:54 +0000 Reply-To: "Chandler, Richard" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Chandler, Richard" <[log in to unmask]> Subject: ANNOUNCE: 12th International Meeting on Statistical Climatology - open for registration Comments: To: "[log in to unmask]" <[log in to unmask]> Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> Apologies for cross-postings - Please circulate the announcement below to any colleagues who may be interested. With thanks and best wishes, Richard ------------------------------------------------------------------------ 12th International Meeting on Statistical Climatology (IMSC) International Convention Center, Jeju, Korea June 24-28, 2013. Online registration and abstract submission is now open for this meeting, at http://www.imsc2013.org. Oral presentations and posters are invited on all topics related to the analysis of climate variability and change on global, regional and local scales, and to advances in relevant statistical techniques, including Bayesian and non-Bayesian methods. A series of thematic sessions will address issues including: - Data homogenization and climate trends/variability assessment - Next generation climate data products - Reconstruction and interpretation of past climates - Spatial and spatiotemporal modelling - Non-linear methods for climate analysis - Forecast verification - Ensemble methods and uncertainty quantification - CMIP5 model evaluation, prediction, and projection - Detection and attribution, downscaling, and impacts - Weather and climate extremes - statistical modeling and event attribution - Large-scale climate variability and teleconnections - Global/regional change in water cycle including monsoon The deadline for abstract submission is February 28, 2013. Full details on registration, abstract submission, and session programs are available at the conference website (address above). The IMSC (http://cccma.seos.uvic.ca/imsc/) has been organized by a group of independent climatologists and statisticians since 1979. The aim of IMSC is to promote good statistical practice in the atmospheric and climate sciences and to maintain and enhance the lines of communication between the atmospheric and statistical science communities. The 12th IMSC will be jointly organized by the National Institute of Meteorological Research (NIMR) and the IMSC Steering Committee and will be sponsored by the Korea Meteorological Administration (KMA), the Korean Meteorological Society, the Korean Statistical Society, the Pacific Climate Impacts Consortium (PCIC), and the Institute for Mathematics Applied to Geosciences (IMAGe)/National Center for Atmospheric Research (NCAR). =====================================================================             Richard E. Chandler             ^^^^^^^^^^^^^^^^^^^ Room 135, Dept of Statistical Science, University College London, 1-19 Torrington Place, London WC1E 6BT, UK Tel: +44 (0)20 7679 1880    Fax: +44 (0)20 3108 3105 Internet: http://www.ucl.ac.uk/Stats (department)           http://www.homepages.ucl.ac.uk/~ucakarc    (personal) email:    [log in to unmask] --------------------------------------------------------------------- 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: Wed, 19 Dec 2012 13:54:39 +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: Contract Statistician Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE8369HRMWSXS1478emeaha_" MIME-Version: 1.0 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========================================================================Date: Wed, 19 Dec 2012 14:29:24 +0000 Reply-To: Venkata Putcha <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Venkata Putcha <[log in to unmask]> Subject: Re: SPSS Complex sampling module Comments: To: [log in to unmask] In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundaryMessage-ID: <[log in to unmask]> --0015174c1c00e640f704d1357034 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable *Dear Deo* ** *Nice meeting you on last Sunday. I did received some good news regarding the SPSS software. When ever you are free let me know and I can come and load the software. But you need to sign a document for not commercial use and the software will cost a small token of £50.00 towards the administrative charges.* * * *As you said we can meet in new year on one weekend. I also gather the material for working with STATA perticularly for complex sample surveys. We can chat this also on our meet.* ** *I will forward my CV soon, for you to place it in EU consultancy form. * ** *Thanks once again* ** *With best wishes and Happy Xmas and New Year* *Venkata Putcha* On 13 December 2012 16:24, Deo Ramprakash <[log in to unmask]> wrote: > Very grateful for > > (a)_ Purchase of an already used software of SPSS complex samplng module > > (b) Meet anyone in UK to learn how to use (a). Willing to pay for > demonstration > > > email: [log in to unmask] phone: 0208 428 7121 in Harrow, UK > You may leave the list at any time by sending the command > > SIGNOFF allstat > > to [log in to unmask], leaving the subject line blank. > You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --0015174c1c00e640f704d1357034 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Dear Deo
 
Nice meeting you on last Sunday. I did received some good news regarding the SPSS software. When ever you are free let me know and I can come and load the software. But you need to sign a document for not commercial use and the software will cost a small token of £50.00 towards the administrative charges.

 
As you said we can meet in new year on one weekend. I also gather the material for working with STATA perticularly for complex sample surveys. We can chat this also on our meet.
 
I will forward my CV soon, for you to place it in EU consultancy form.
 
Thanks once again
 
With best wishes and Happy Xmas and New Year
Venkata Putcha

 
On 13 December 2012 16:24, Deo Ramprakash <[log in to unmask]> wrote:
Very grateful for

(a)_ Purchase of an already used software of SPSS complex samplng module 

(b)  Meet anyone in UK to learn how to use (a).  Willing to pay for demonstration

 
email:  [log in to unmask]          phone:  0208 428 7121 in Harrow, UK
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.


You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --0015174c1c00e640f704d1357034-- ========================================================================Date: Wed, 19 Dec 2012 14:45:26 +0000 Reply-To: Simon Wilson <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Simon Wilson <[log in to unmask]> Subject: CONFERENCE: call for abstracts for GDRR 2013 Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> 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) 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: Wed, 19 Dec 2012 15:58:03 +0000 Reply-To: Doug Roberts <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Doug Roberts <[log in to unmask]> Subject: Contract SAS Programmer | CDISC Standards | London, UK | =?iso-8859-1?Q?£45-£50_?=per hour Content-Type: multipart/alternative; boundary="_000_6D20A4DCA47B86428D14CF60A030E86F069244B1EEmsx1s2berdlpl_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_6D20A4DCA47B86428D14CF60A030E86F069244B1EEmsx1s2berdlpl_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665 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 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 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 SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F069244B1EEmsx1s2berdlpl_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

For further details or a confidential conversation please email [log in to unmask] or call Doug on Tel: +44 (0) 207 255 6665

 

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



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 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

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to [log in to unmask], leaving the subject line blank. --_000_6D20A4DCA47B86428D14CF60A030E86F069244B1EEmsx1s2berdlpl_-- ========================================================================Date: Wed, 19 Dec 2012 16:23:30 +0000 Reply-To: Leo Cremonezi <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Leo Cremonezi <[log in to unmask]> Subject: Sampling Techniques - William G. Cochran MIME-Version: 1.0 Content-Type: multipart/alternative; boundarydae9399c2ff4303d04d13708d1 Message-ID: [log in to unmask]> --14dae9399c2ff4303d04d13708d1 Content-Type: text/plain; charset=ISO-8859-1 Hi I'd like to buy an used version of *Sampling Techniques, 3rd Edition * by William Gemmell Cochran book If you're in London, please contact me! Many thanks Leo You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --14dae9399c2ff4303d04d13708d1 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Hi
 
I'd like to buy an used version of
 
Sampling Techniques, 3rd Edition

by William Gemmell Cochran

book

 

If you're in London, please contact me!

Many thanks

Leo

 

You may leave the list at any time by sending the command

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to [log in to unmask], leaving the subject line blank. --14dae9399c2ff4303d04d13708d1-- ========================================================================Date: Wed, 19 Dec 2012 17:12:50 +0000 Reply-To: SUBSCRIBE allstat Fotios Petropoulos <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: SUBSCRIBE allstat Fotios Petropoulos <[log in to unmask]> Subject: Upcoming Forecasting Training Course Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="UTF-8" Message-ID: <[log in to unmask]>

Upcoming Forecasting Training Course
The Fundamentals of Forecasting: Time Series Forecasting
13-14 March 2013, London

This short course (two days) aims to give practicing forecaster the skills necessary to improve their performance and knowledge in the key areas of

We have recently extended the course format to incorporate feedback from previous workshops. In order to ensure that those attending will be given plenty of hands-on experience of analysing data, we have now included the add-on course of basic maths&stats into the main course (without any price increases). We hope this will ensure even more time for exercises and modelling with data. Excel will be used together with more advanced forecasting packages. The course will include presentations and discussion of how forecasting can best be organised in a company and examine the choice of appropriate software.

Target audience & skills required: no formal university background in statistics nor mathematics is required - this is an introductory course to business professionals that covers the fundamental aspects of forecasting in a "maths-lite" and hands-on way. Attendees should have practical forecasting experience and be able to work in Microsoft Excel.  Attendees with a more numerate background will be able to develop a deeper understanding of algorithms and method properties.

Between courses attendees will be expected to carry out an analysis of their own company data series. Tutorial support will be given and in addition a new distance learning tool will be made available to improve learning. It is ideal for an organisation wishing to improve its forecasting capacity.

The course will be on March 13-14, 2013 at the Work Foundation in London. 

For reservations of this course, and to receive information of future courses starting in 2013 please contact Dr Nikolaos Kourentzes at [log in to unmask]" href="mailto:[log in to unmask]" style="font-size: 1em; border: 0px; color: rgb(135, 5, 5);">[log in to unmask]

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to [log in to unmask], leaving the subject line blank. ========================================================================Date: Wed, 19 Dec 2012 17:25:23 +0000 Reply-To: Laurence Tiret <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Laurence Tiret <[log in to unmask]> Subject: Postdoctoral position in cardiovascular genomics Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Message-ID: <[log in to unmask]> Postdoctoral Position in Genomics of Cardiovascular diseases The INSERM UMRS 937 (http://ecgene.net/genecanvas/news.php) is an international leader department in genetic research, with emphasis placed on the disentangling of the genetic architecture underlying cardiovascular diseases. Developed programmes covered all scientific aspects related to genetic research including molecular biology, cellular biology, statistical genomics and bioinformatics. The INSERM UMRS 937 will recruit a post-doctoral bioinformatician/biostatistician for a research project entitled "Modifications of the transcriptomic profile of circulating monocytes and adipose tissue in obese patients before and after bariatric surgery". This project relies on the longitudinal analysis of RNA-seq data. Motivated candidate would have a PhD in bioinformatics or in statistical genetics (or equivalent experience). He/she should demonstrate strong abilities to work independently, strong interests in genomic data analysis and good communication skills. Experience in the analysis/manipulation of large datasets is required. A biological background and a preliminary experience in the analysis of RNA-seq data are highly appreciated. French language skills are not a prerequisite. The selected candidate will work as part of a multidisciplinary team, including experienced scientists in molecular and genetic epidemiology, but also a dynamic group of graduate/PhD students. The INSERM UMRS 937 is located at the center of Paris and is part of the Pierre and Marie Curie University Campus (http://www.upmc.fr/en/index.html), the first cutting edge research French University offering a high-level scientific environment, including a NGS platform. It is also a team of the Institute for Cardiometabolism And Nutrition (ICAN) which brings together a large community of researcher, clinicians and industrial partners entirely dedicated to stimulate fundamental, clinical and translational research in the field of cardiometabolism disorders. Position is full-time and initially restricted for two years. Positions are immediately opened and candidates should submit CV to Dr Laurence Tiret ([log in to unmask]). 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: Thu, 20 Dec 2012 09:51:47 +0000 Reply-To: "Dr. Colin Campbell, Intelligent Systems Laboratory, University of Bristol" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "Dr. Colin Campbell, Intelligent Systems Laboratory, University of Bristol" <[log in to unmask]> Subject: Postdoctoral position in machine learning Comments: To: RSS Allstat Mailbox <[log in to unmask]> MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1; format=flowed Content-Transfer-Encoding: quoted-printable Content-Disposition: inline Message-ID: <[log in to unmask]> Postdoctoral Position in Machine Learning and Bioinformatics University of Bristol, United Kingdom We are seeking to appoint an outstanding postdoctoral researcher, interested in machine learning and bioinformatics, for a 3 year fixed term contract position. Based in the Intelligent Systems Laboratory, University of Bristol, United Kingdom, you will be interested in the development and application of machine learning methods to the interpretation of biomedical datasets. Within this project we will devise novel and use established methods from modern machine learning including Bayesian techniques and probabilistic graphical methods, kernel-based methods and other approaches. We are keen to develop active learning approaches in which bioinformatics methods are used to infer maximally informative biological experiments with the results in turn used to improve a hypothesis. Algorithm development will be pursued with Dr. Colin Campbell of the Intelligent Systems Laboratory. Our main collaborators on the biological side are Prof. David Murphy and Dr. Charlie Hindmarch of the Henry Wellcome Laboratories for Integrative Neuroscience, University of Bristol, who have an interest in understanding the hypertensive state in humans. Apart from using bioinformatics methods to highlight the role of particular genes in this condition, they are interested in understanding and mapping regulatory pathways. Thus, the candidate may also have some interest in network inference, both using unsupervised and supervised methods. Eligible candidates should ideally have a background in machine learning, statistics or bioinformatics and should have excellent mathematical and computational skills. This post is hosted within the Intelligent Systems Laboratory (the ISL) of the University of Bristol. The ISL has 16 staff members and about 50 postdoctoral researchers and research students and pursues a broad programme of research across machine learning and related disciplines. Informal enquiries can be made to Dr Colin Campbell: Tel: +44 (0)117-33-15620 E-mail: [log in to unmask] The successful applicant for this vacancy may be appointed either on a fixed term or a permanent contract depending on the extent of their previous relevant research experience, in line with the University’s Fixed Term Contract Agreement. Further information can be found at www.bristol.ac.uk/hr/ftc/ Job number: ACAD100154 Division/School: Merchant Venturers' School of Engineering Contract type: Fixed-term contract staff Working pattern: Full time Salary: £34223 - £38522 Funder: EPSRC Closing date for applications: 20-Jan-2013 Full details are at: http://www.bristol.ac.uk/jobs/ using job number reference: ACAD100154 and direct link: http://www.bristol.ac.uk/jobs/find/details.html?nPostingID=582&nPostingTargetID=1492&option=28&sort=DESC&respnr=1&ID=Q50FK026203F3VBQBV7V77V83&JobNum=ACAD100154&Resultsperpage=10&lg=UK&mask=uobext ---------------------- ICG Campbell, Engineering Mathematics [log in to unmask] 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: Thu, 20 Dec 2012 11:15:01 +0000 Reply-To: ANSELL Jonathan <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: ANSELL Jonathan <[log in to unmask]> Subject: Help on Multi-group Confirmatory Factor Analysis Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Content-Disposition: inline Message-ID: <[log in to unmask]> Dear All I have a colleague who has applied Multi-group Confirmatory Factor Analysis to four different countries. Whilst so far they have found support for configural invariance and full metric invariance after dropping a number a items, they have been asked to find support for full factor variance invariance by a journal. The journal suggest that if the latter cannot be obtained then there is a lack of full support for the model. Is there any advice or guidance that can be given. Yours Jake -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. 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: Thu, 20 Dec 2012 15:18:07 +0000 Reply-To: Marie Jansson <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Marie Jansson <[log in to unmask]> Subject: Job: Doctoral student position in Biostatistics at Karolinska Institutet Content-Type: multipart/alternative; boundary="_000_BED752F79B7D5D468FB546D1F19261946A930E94KIMSX01userkise_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_BED752F79B7D5D468FB546D1F19261946A930E94KIMSX01userkise_ Content-Type: text/plain; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Doctoral student position in Biostatistics Karolinska Institutet, MEB The Department of Medical Epidemiology and Biostatistics is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology for different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total approximately some 250 staff. The department is situated in campus Solna. Further information can be found at www.ki.se/meb Area of responsibilities/description of the work Applications are invited for a PhD research training position to work on the development of accelerated failure time models, with applications to prostate cancer. The appointment will be for 4 years. Qualifications Applicants should have a master’s degree in statistics, biostatistics or related discipline, and have strong interest in medical and biological problems. Previous experience in computational methods is a strong advantage. Successful candidates will have ample opportunities to work on both methodological as well as applied collaborative projects. Fluency in written and spoken English is required The applicant should be able to work well in a team, as well as having the ability to work independently. About the biostatistics group at MEB The biostatistics group comprises around 35 members, including 3 professors, 4 senior lecturers (universitetslektorer), applied biostatisticians, postdocs and PhD students. The group is involved in a wide variety of research projects, including population-based cohort and case-control studies, twin and family studies, survival analyses, predictive modeling, genetic epidemiology and bioinformatics. Contact: For further information regarding these positions, please contact Associate Professor Mark Clements, email mailto:[log in to unmask] Entry requirements To meet the general entry requirements for third-cycle studies, an applicant must have 1. taken a second-cycle qualification 2. completed course requirements for at least 240 higher education credits, including at least 60 second cycle higher education credits, or 3. otherwise acquired essentially the same knowledge either in or outside of Sweden. An applicant who met the general entry requirements for third-cycle studies before 1 July 2007 is regarded as having met the current requirements, though no later than the end of June 2015. A selection will be made among qualified applicants on the basis of the ability to benefit from third-cycle studies. Karolinska Institutet uses the following bases of assessment: - Documented subject knowledge of relevance to the area of research - Analytical skill corroborated by an academic paper or the like - Other documented knowledge or experience that may be relevant to third-cycle studies in the subject. The qualifications of the applicants will be evaluated on an overall basis. A decision concerning the doctoral student position will be made after admission to third-cycle studies. For additional information about third-cycle studies at Karolinska Institutet, see http://www.ki.se/doctoral. Application process An application must contain the following documents in Swedish or English (preferably): • A full CV, including current position, academic distinctions and a list of any publications • A statement of research interest (one page) • A copy of a degree certificate and associated certificates • A copy of a degree project and any previous publications The application is to be submitted on the NetRecruiter system. Karolinska Institutet is one of the world´s leading medical universities. Its mission is to contribute to the improvement of human health through research and education. Karolinska Institutet accounts for over 40 per cent of the medical academic research conducted in Sweden and offers the country´s broadest range of education in medicine and health sciences. Since 1901 the Nobel Assembly at Karolinska Institutet has selected the Nobel laureates in Physiology or Medicine. Pursuant to the regulations of the Swedish National Archives, applications are kept on file for two years after the appointment has gained legal force. The regulations do not apply to attachments that have been printed or otherwise published. Karolinska Institutet strives to provide a workplace that has approximately the same number of women and men, is free of discrimination and offers equal opportunity to everyone. For temp agencies and recruiters, and to salespersons: We politely, yet firmly, decline direct contact with temp agencies and recruiters, as well as those selling additional job announcements. Type of employment PhD placement Working hours Full time Reference 7593/2012-225 Access At the latest 120301 Published 2012-12-04 Last application date 2013-01-04 Union representative Ann Almqvist, OFR 08-524 861 99 Gunnar Stenberg, SEKO 08-524 880 75 Ulrika Zagai, SACO 08--524 871 84 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --_000_BED752F79B7D5D468FB546D1F19261946A930E94KIMSX01userkise_ Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable

Doctoral student position in Biostatistics

 

Karolinska Institutet, MEB

The Department of Medical Epidemiology and Biostatistics is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology for different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total approximately some 250 staff. The department is situated in campus Solna. Further information can be found at www.ki.se/meb

 

Area of responsibilities/description of the work

Applications are invited for a PhD research training position to work on the development of accelerated failure time models, with applications to prostate cancer.

 

The appointment will be for 4 years.

 

Qualifications

Applicants should have a master’s degree in statistics, biostatistics or related discipline, and have strong interest in medical and biological problems. Previous experience in computational methods is a strong advantage. Successful candidates will have ample opportunities to work on both methodological as well as applied collaborative projects. Fluency in written and spoken English is required The applicant should be able to work well in a team, as well as having the ability to work independently.

 

About the biostatistics group at MEB

The biostatistics group comprises around 35 members, including 3 professors, 4 senior lecturers (universitetslektorer), applied biostatisticians, postdocs and PhD students. The group is involved in a wide variety of research projects, including population-based cohort and case-control studies, twin and family studies, survival analyses, predictive modeling, genetic epidemiology and bioinformatics.

 

Contact:

For further information regarding these positions, please contact Associate Professor Mark Clements, email mailto:[log in to unmask]

 

Entry requirements

To meet the general entry requirements for third-cycle studies, an applicant must have

1. taken a second-cycle qualification

2. completed course requirements for at least 240 higher education credits, including at least 60 second cycle higher education credits, or

3. otherwise acquired essentially the same knowledge either in or outside of Sweden.

An applicant who met the general entry requirements for third-cycle studies before 1 July 2007 is regarded as having met the current requirements, though no later than the end of June 2015.

A selection will be made among qualified applicants on the basis of the ability to benefit from third-cycle studies.

 

Karolinska Institutet uses the following bases of assessment:

- Documented subject knowledge of relevance to the area of research

- Analytical skill corroborated by an academic paper or the like

- Other documented knowledge or experience that may be relevant to third-cycle studies in the subject.

The qualifications of the applicants will be evaluated on an overall basis.

A decision concerning the doctoral student position will be made after admission to third-cycle studies. For additional information about third-cycle studies at Karolinska Institutet, see http://www.ki.se/doctoral.

 

Application process

An application must contain the following documents in Swedish or English (preferably):

• A full CV, including current position, academic distinctions and a list of any publications

• A statement of research interest (one page)

• A copy of a degree certificate and associated certificates

• A copy of a degree project and any previous publications

The application is to be submitted on the NetRecruiter system.

 

Karolinska Institutet is one of the world´s leading medical universities. Its mission is to contribute to the improvement of human health through research and education. Karolinska Institutet accounts for over 40 per cent of the medical academic research conducted in Sweden and offers the country´s broadest range of education in medicine and health sciences. Since 1901 the Nobel Assembly at Karolinska Institutet has selected the Nobel laureates in Physiology or Medicine.

 

Pursuant to the regulations of the Swedish National Archives, applications are kept on file for two years after the appointment has gained legal force. The regulations do not apply to attachments that have been printed or otherwise published.

 

Karolinska Institutet strives to provide a workplace that has approximately the same number of women and men, is free of discrimination and offers equal opportunity to everyone.

 

For temp agencies and recruiters, and to salespersons: We politely, yet firmly, decline direct contact with temp agencies and recruiters, as well as those selling additional job announcements.

 

Type of employment PhD placement

Working hours Full time

Reference 7593/2012-225

Access At the latest 120301

Published 2012-12-04

Last application date 2013-01-04

Union representative Ann Almqvist, OFR 08-524 861 99

Gunnar Stenberg, SEKO 08-524 880 75

Ulrika Zagai, SACO 08--524 871 84

 

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to [log in to unmask], leaving the subject line blank. --_000_BED752F79B7D5D468FB546D1F19261946A930E94KIMSX01userkise_-- ========================================================================Date: Thu, 20 Dec 2012 17:08:22 +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: SAS Consultant for leading SAS con Content-Type: multipart/alternative; boundary="_000_92E7DB5F663712419ABCF81571D7F419CE891FHRMWSXS1478emeaha_" MIME-Version: 1.0 Message-ID: <[log in to unmask]> --_000_92E7DB5F663712419ABCF81571D7F419CE891FHRMWSXS1478emeaha_ Content-Transfer-Encoding: base64 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 R29vZCBhZnRlcm5vb24gQWxsc3RhdCwKClBsZWFzZSBmaW5kIGJlbG93IG91ciBsYXRlc3QgcGVy bWFuZW50IFNBUyB2YWNhbmN5IGZvciB0aGUgVUsgYW5kIGEgYnJpZWYgam9iIGRlc2NyaXB0aW9u 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========================================================================Date: Thu, 20 Dec 2012 17:05:42 +0000 Reply-To: Katrina Sharples <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Katrina Sharples <[log in to unmask]> Subject: Senior Lecturer/Associate Professor in Biostatistics Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> DEPARTMENT OF PREVENTIVE AND SOCIAL MEDICINE OTAGO MEDICAL SCHOOL, DUNEDIN, NEW ZEALAND 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 of Health Sciences to provide and co-ordinate biostatistical consulting services across the Division. Applicants should have a doctorate in biostatistics, or a closely related discipline, and evidence of a commitment to research. The ability to communicate well with a wide range of people, one-to-one as well as in groups, and the aptitude and skills to lead a team are also required. The appointee will be responsible for providing biostatistical consulting services to researchers in the Division of Health Sciences based in Dunedin, and for providing leadership for the group of consulting biostatisticians, of which there are currently five in total. The consulting statisticians provide advice on the design, conduct, analysis and reporting of research to researchers in the Otago School of Medical Sciences, Dunedin School of Medicine, the Faculty of Dentistry, and the Schools of Pharmacy and Physiotherapy. There is potential for developing longer-term research collaborations. In addition to consulting, the appointee will be expected to be involved in teaching biostatistics to postgraduate students in public health and related disciplines, providing research student supervision in biostatistics or public health, and conducting research. However, primary responsibility for delivering the undergraduate and postgraduate courses in biostatistics for public health and related disciplines lies with the three academic biostatisticians employed by the Department. There are excellent opportunities for research collaboration in the Department, across the university, and with health sector organisations. For further information see: Senior Lecturer / Associate Professor in Biostatistics Confidential enquiries can be made to Professor Jennie Connor, Head of Preventive and Social Medicine, [log in to unmask] Applications quoting reference number 1201953 close on Thursday, 28 February 2013. 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: Thu, 20 Dec 2012 21:20:11 +0000 Reply-To: Peter Bruce <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Peter Bruce <[log in to unmask]> Subject: 2 Online courses in R: Statistical Analytsis, Data Mining Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Dear ALLSTAT member, >R A good entry point for a statistician to learn how to use R as a statistical computing package with (mainly) a command line interface, is John Verzani's online course "Introduction to R – Statistical Analysis,†January 4 – February 1, 2013 at Statistics.com. This course covers how to use R to summarize and graph data, calculate confidence intervals, test hypotheses, assess goodness-of-fit, and perform linear regression. And if you are interested in data mining, Luis Torgo's “Data Mining in R – Learning with Case Studies†introduces you to both R and data mining. The course follows a "learn by doing it" strategy, where data mining topics are introduced as needed when addressing a series of real world data mining case studies. John Verzani, Professor of Mathematics at the College of Staten Island (CUNY), is the author of a number of books, including "Using R for Introductory Statistics" (CRC Press). Luis Torgo, Assoc. Professor of the Department of Computer Science at the University of Porto, is the author of "Data Mining With R," as well as a number of scholarly articles and other publications. Details: http://www.statistics.com/Rstatistics http://www.statistics.com/data-mining-r/ The courses take place online at Statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participants can ask questions and exchange comments with the instructor via a private discussion board throughout the period. Participate at your own convenience; there are no set times when you are required to be online. Peter Bruce [log in to unmask] 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: Fri, 21 Dec 2012 11:33:39 +0000 Reply-To: Matthias Troffaes <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Matthias Troffaes <[log in to unmask]> Subject: Workshop: SIMRIDE 2013 - 1st Announcement Comments: cc: Grant Ingram <[log in to unmask]> In-Reply-To: <[log in to unmask]> MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Message-ID: <[log in to unmask]> [Apologies for cross-posting] http://www.maths.dur.ac.uk/users/matthias.troffaes/simride2013/ The Department of Mathematical Sciences and the School of Engineering and Computing Sciences, Durham University, organise a workshop on uncertainty quantification and data assimilation in numerical simulation of physical systems for risk-informed decision making; in short, simulation for risk-informed decisions, or SIMRIDE. The workshop will run from Monday 18 March until Thursday 21 March 2013. Key to solving many large industrial scale problems is assimilation of data along with real-time simulation of a physical system, combined with uncertainty quantification to allow risk-informed decisions to be made. Often these systems are highly non-linear and require vast computing power, which presents a serious challenge to assimilation of data in real-time, and to quantify uncertainty bounds resulting from model uncertainty and measurement error. A major aim of SIMRIDE is to facilitate the link between industry and academia. The workshop will consist of talks by people from both camps, with ample time for discussion in a relaxed environment. The themes of each day are as follows: * Monday: Risk & Decision (keynote by Simon Blake, ECS, UK) * Tuesday: Extreme Events (keynote by David Randell, Shell, UK) * Wednesday: Simulation (keynote by Michael Goldstein, Maths, Durham) * Thursday: Energy (keynote by Robert Jeffers, Idaho National Laboratory, US) A list of currently confirmed speakers and titles of talks is at: http://www.maths.dur.ac.uk/users/matthias.troffaes/simride2013/programme.html There will be a formal workshop dinner on Tuesday 19 March. Everyone, including PhD students, is welcome to participate and/or to present their views. Registration for the first 25 places on this workshop is free, as these places are funded by an EPSRC grant. Once these places have been used up, a fee of around 150 GBP will be charged. Registration covers coffee & biscuits during breaks, buffet lunch, the workshop dinner and conference materials. If you require any further information, then please do not hesitate to contact one of the organisers. Best wishes, Matthias Troffaes ([log in to unmask]) Grant Ingram ([log in to unmask]) 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: Fri, 21 Dec 2012 11:41:39 +0000 Reply-To: John Bibby <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: John Bibby <[log in to unmask]> Subject: Book your tickets to York RadStats conference (Feb 23rd) ASAP, starting Dec24 Fwd: East Coast tickets to be released on 24 December Comments: To: "[log in to unmask]" <[log in to unmask]> MIME-Version: 1.0 Content-Type: multipart/alternative; boundarye6ba614ed6a7a92304d15b54e3 Message-ID: <[log in to unmask]> --90e6ba614ed6a7a92304d15b54e3 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Rail tickets available on Monday 24th. Book ASAP! There are usually a few (very few!) at under £10 each way. Conference details are here Come Friday evening if you can and stay till Sunday: if wanting a day-trip, come as early as you can on Saturday: breakfast will be available from 8.30! Please contact me if any problems. Roy Carr-Hill can assist with accommodation - see www.tinyurl.com/RadStats2013 or link at www.radstats.org.uk NB: use *radstats.org.uk* NOT radstats.org !!! JOHN BIBBY ---------- Forwarded message ---------- From: East Coast trains <[log in to unmask]> Date: 21 December 2012 11:32 Subject: East Coast tickets to be released on 24 December To: "\"John Bibby\"" <[log in to unmask]> ** View web version Unsubscribe [image: WELCOME TO EAST COAST] Home Travel info Rewards About you Dear John, Reservations on East Coast trains for dates up to 15 March, with the exception of 9 and 10 March, will be open from 10.00 Monday 24 December. Because our cheapest fares are sold as singles, you may receive two emails from us - the first letting you know when your departure date has been released and the second telling you when your return date has been released. This way, you'll enjoy the best value possible. [image: book-tickets-now-btn.png] Best regards *Your East Coast Team* Eastcoast.co.uk Contact us FAQs Your registered email address is [log in to unmask] You will always have the opportunity to unsubscribe from this service with each email we send you. If you no longer wish to receive these messages please unsubscribe. East Coast Main Line Company Limited, 4th Floor, One Kemble Street, London, WC2B 4AN Registered in England. Registered Office: 4th Floor, One Kemble Street, London, WC2B 4AN Registered Number: 04659708 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --90e6ba614ed6a7a92304d15b54e3 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Rail tickets available on Monday 24th. Book ASAP! There are usually a few (very few!) at under £10 each way.


Conference details are here

Come Friday evening if you can and stay till Sunday: if wanting a day-trip, come as early as you can on Saturday: breakfast will be available from 8.30!

Please contact me if any problems. Roy Carr-Hill can assist with accommodation - see www.tinyurl.com/RadStats2013 or link at www.radstats.org.uk

NB: use  radstats.org.uk NOT radstats.org !!!

JOHN BIBBY

---------- Forwarded message ----------
From: East Coast trains <[log in to unmask]>
Date: 21 December 2012 11:32
Subject: East Coast tickets to be released on 24 December
To: "\"John Bibby\"" <[log in to unmask]>


View web version Unsubscribe
WELCOME TO EAST COAST Home Travel info Rewards About you
Dear John,

Reservations on East Coast trains for dates up to 15 March, with the exception of 9 and 10 March, will be open from 10.00 Monday 24 December.
Because our cheapest fares are sold as singles, you may receive two emails from us - the first letting you know when your departure date has been released and the second telling you when your return date has been released. This way, you'll enjoy the best value possible.

book-tickets-now-btn.png

Best regards

Your East Coast Team


Eastcoast.co.uk Contact us FAQs
Your registered email address is [log in to unmask]. You will always have the opportunity to unsubscribe from this service with each email we send you. If you no longer wish to receive these messages please unsubscribe.

East Coast Main Line Company Limited, 4th Floor, One Kemble Street, London, WC2B 4AN
Registered in England. Registered Office: 4th Floor, One Kemble Street, London, WC2B 4AN
Registered Number: 04659708


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bWJlciAyMTUwOTUwLiZuYnNwOyBIYXlzIHBsY+KAmXMgcmVnaXN0ZXJlZCBvZmZpY2UgaXMgYXQg MjUwIEV1c3RvbiBSb2FkLCBMb25kb24gTlcxIDJBRi48YnI+KioqKioqKioqKioqKioqKioqKioq KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqPC9QPjwvYm9k eT4KPC9odG1sPgoNCllvdSBtYXkgbGVhdmUgdGhlIGxpc3QgYXQgYW55IHRpbWUgYnkgc2VuZGlu ZyB0aGUgY29tbWFuZA0KPHA+DQpTSUdOT0ZGIGFsbHN0YXQNCjwvcD48cD4NCnRvIDxhIGhyZWY9 Im1haWx0bzpsaXN0c2VydkBqaXNjbWFpbC5hYy51ayI+bGlzdHNlcnZAamlzY21haWwuYWMudWs8 L2E+LCBsZWF2aW5nIHRoZSBzdWJqZWN0IGxpbmUgYmxhbmsuDQo--_000_92E7DB5F663712419ABCF81571D7F419CE8AABHRMWSXS1478emeaha_-- ========================================================================Date: Fri, 21 Dec 2012 12:46:35 -0000 Reply-To: Simone Holley <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Simone Holley <[log in to unmask]> Subject: Drug Safety Research Unit - Medical Aspects of Adverse Drug Reactions 23-25 Jan 2013 MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----_=_NextPart_001_01CDDF79.36882DA9" Message-ID: <[log in to unmask]> This is a multi-part message in MIME format. ------_=_NextPart_001_01CDDF79.36882DA9 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Medical Aspects of Adverse Drug Reactions 23-25 January 2013 2.5 days, Southampton area. Registration fees: £1190 + VAT (standard registration) £810 + VAT (public sector / academic / charities) Introduction Adverse Drug Reactions (ADRs) are a major clinical problem. An understanding of the clinical aspects of ADRs is a fundamental requirement for any professional in the field of pharmacovigilance and may also be useful to those working in Medical Statistics. This course covers recognition and interpretation of ADRs and their underlying toxopathology and pharmacology. A panel of outstanding multi-disciplinary tutors will provide a comprehensive and up-to-date understanding of all aspects of ADRs through this interactive lecture-based course. Aims * To provide delegates with a grounding in and analysis of, the core principles of medical diagnosis including pattern recognition, and therapeutics * To analyse some of the core concepts of clinical pharmacology relevant to the conduct and interpretation of pharmacoepidemiological research * To review the mechanisms of drug action, the concept of drug potency, the role of pharmacodynamics and pharmacokinetics (including genetic and immunological factors) in determining variability in drug response and drug interactions * To review the classification of ADRs and pathophysiology according to body system and associated public health burden Programme features * Principles of medical diagnosis * Comprehensive and up-to-date understanding of medical and scientific aspects of ADRs * ADR examples * Overview of ADRs and interactions * Genetic and metabolic basis of ADRs * Immunological aspects of ADRs * ADRs by system organ class * Regulatory aspects including guidelines and causality assessment Please contact [log in to unmask] for further details. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. Please Note: This email is private and intended for the addressee(s) only. It may contain information that is proprietary. Any dissemination, distribution or copying of information contained is unauthorised and prohibited if you are not the recipient. If you have received this message in error, please delete/destroy it. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. ------_=_NextPart_001_01CDDF79.36882DA9 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable

Medical Aspects of Adverse Drug Reactions 23-25 January 2013

2.5 days, Southampton area.

 

Registration fees:

£1190 + VAT (standard registration)

£810 + VAT (public sector / academic / charities)

 

Introduction

Adverse Drug Reactions (ADRs) are a major clinical problem. An understanding of the clinical aspects of ADRs is a fundamental requirement for any professional in the field of pharmacovigilance and may also be useful to those working in Medical Statistics. This course covers recognition and interpretation of ADRs and their underlying toxopathology and pharmacology. A panel of outstanding multi-disciplinary tutors will provide a comprehensive and up-to-date understanding of all aspects of ADRs through this interactive lecture-based course.

Aims

Programme features

 

 

Please contact [log in to unmask] for further details.

 

You may leave the list at any time by sending the command

 

SIGNOFF allstat

 

to [log in to unmask], leaving the subject line blank.

 

 

Please Note:

This email is private and intended for the addressee(s) only. It may contain information that is proprietary. Any dissemination, distribution or copying of information contained is unauthorised and prohibited if you are not the recipient. If you have received this message in error, please delete/destroy it.
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. ------_=_NextPart_001_01CDDF79.36882DA9-- ========================================================================Date: Thu, 27 Dec 2012 10:29:44 +0000 Reply-To: David Ogilvie <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: David Ogilvie <[log in to unmask]> Subject: VACANCY: Investigator Scientist =?UTF-8?Q?–_?=MRC Epidemiology Unit, Cambridge Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> The MRC Epidemiology Unit undertakes research on the causes and prevention of diabetes and obesity, including — under the auspices of the Centre for Diet and Activity Research (CEDAR) — evaluating the effects of environmental interventions on population physical activity. We are now seeking a quantitative researcher to lead the longitudinal analysis of the cohort dataset from the Commuting and Health in Cambridge study. This is an interdisciplinary study of the travel, physical activity and public health impacts of the Cambridgeshire Guided Busway (CGB), funded by the National Institute for Health Research (NIHR). The successful applicant is likely to have (or to be within about six months of obtaining) a PhD in a relevant topic and experience in the analysis of epidemiological or physical activity data including multivariable regression modelling. Training and experience in more advanced statistical methods for the longitudinal analysis of cohort (panel) data would be a distinct advantage. Applications are equally welcome from those with previous experience in travel behaviour or physical activity research, or from those with more generic epidemiological and statistical experience who are interested in applying their skills to a new topic area. The post is available for 18 months and the starting salary will be in the range of £26,022 – £31,758 per annum (MRC Band 4). The closing date for applications is 15 January 2013. For more information please visit http://www.cedar.iph.cam.ac.uk/work-with-cedar/vacancies/ or contact Dr David Ogilvie ([log in to unmask]). 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: Fri, 28 Dec 2012 16:58:43 -0500 Reply-To: Paul McNicholas <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Paul McNicholas <[log in to unmask]> Subject: Postdoctoral Research Fellowship at the University of Guelph Content-Type: multipart/alternative; boundary="Apple-Mail=_321BFEE7-DD82-4953-94B5-FB8ED0B97368" Mime-Version: 1.0 (Mac OS X Mail 6.2 \(1499\)) Message-ID: <[log in to unmask]> --Apple-Mail=_321BFEE7-DD82-4953-94B5-FB8ED0B97368 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Dear Colleague, A postdoctoral research fellowship is available within my group at the Department of Mathematics & Statistics, University of Guelph, Guelph, Ontario, Canada. Details are available at http://www.uoguelph.ca/~pmcnicho/CSPM2.pdf Please pass this along to anyone you think might be interested. Happy New Year! Paul -- Paul McNicholas, Ph.D. Associate Professor & Associate Chair, University Research Chair in Computational Statistics, Department of Mathematics & Statistics, University of Guelph, Guelph, Ontario, Canada, N1G2W1. Ph: +1-519-824-4120, ext. 53136 Web: www.uoguelph.ca/~pmcnicho You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --Apple-Mail=_321BFEE7-DD82-4953-94B5-FB8ED0B97368 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii Dear Colleague,

A postdoctoral research fellowship is available within my group at the Department of Mathematics & Statistics, University of Guelph, Guelph, Ontario, Canada. Details are available at http://www.uoguelph.ca/~pmcnicho/CSPM2.pdf

Please pass this along to anyone you think might be interested.

Happy New Year!
Paul
--
Paul McNicholas, Ph.D.
Associate Professor & Associate Chair,
University Research Chair in Computational Statistics,
Department of Mathematics & Statistics,
University of Guelph,
Guelph, Ontario, 
Canada, N1G2W1.
Ph: +1-519-824-4120, ext. 53136
Web: www.uoguelph.ca/~pmcnichoYou may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --Apple-Mail=_321BFEE7-DD82-4953-94B5-FB8ED0B97368-- ========================================================================Date: Sat, 29 Dec 2012 00:41:31 +0200 Reply-To: Rasha El Kholy <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Rasha El Kholy <[log in to unmask]> Subject: The 25th Annual International Conference on Statistics and Modeling in Human and Social Sciences, Egypt MIME-Version: 1.0 Content-Type: multipart/alternative; boundary¼aec54c502e7278ab04d1f15ddb Message-ID: [log in to unmask]> --bcaec54c502e7278ab04d1f15ddb Content-Type: text/plain; charset=ISO-8859-1 Dear colleagues, The department of Statistics, Faculty of Economics and Political Science, Cairo University is organizing its 25th Annual International Conference on Statistics and Modeling in Human and Social Sciences during the period 25-28 March, 2013. The conference will include regular scientific sessions, training sessions, as well as plenary and debate sessions. Further information can be found on http://www.feps.edu.eg/en/departments/statistics/home.php?wids24 Please feel free to pass this to those who might interested. Happy holidays and happy new year. regards, Rasha -- *Rasha El Kholy, Ph. D. * *Assistant Professor, Department of Statistics, Faculty of Economics and Political Science, Cairo University, Cairo, Egypt * You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank. --bcaec54c502e7278ab04d1f15ddb Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable

Dear colleagues,

The department of Statistics, Faculty of Economics and Political Science, Cairo University is organizing its 25th Annual International Conference on Statistics and Modeling in Human and Social Sciences during the period 25-28 March, 2013. The conference will include regular scientific sessions, training sessions, as well as plenary and debate sessions. Further information can be found on http://www.feps.edu.eg/en/departments/statistics/home.php?wids=1024


Please feel free to pass this to those who might interested.


Happy holidays and happy new year.

regards,

Rasha




--
 
Rasha El Kholy, Ph. D.
Assistant Professor,
Department of Statistics,
Faculty of Economics and Political Science,
Cairo University,
Cairo, Egypt
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank. --bcaec54c502e7278ab04d1f15ddb-- ========================================================================Date: Mon, 31 Dec 2012 08:14:30 -0600 Reply-To: =?ISO-8859-1?Q?Rodrigo_Briceño?= <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: =?ISO-8859-1?Q?Rodrigo_Briceño?= <[log in to unmask]> Subject: help understanding an exercise MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Message-ID: <[log in to unmask]> Dear allstat users. I'm having a hard time trying to understand the logics behind the answer of this exercise: 10 friends choose, on an independent way, a number of the primitive lottery (between 1 and 49). The probability that at least 2 of them choose the same number is approximately: And the answer provided is 0.626 I tried with different alternatives but I got different answers. If someone could help me to understand how to structure the answer that will be cool. -- Rodrigo Briceño Economist [log in to unmask] SKYPE: rbriceno1087 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, 31 Dec 2012 15:49:14 +0100 Reply-To: "BXC (Bendix Carstensen)" <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: "BXC (Bendix Carstensen)" <[log in to unmask]> Subject: Re: help understanding an exercise Comments: To: =?iso-8859-1?Q?Rodrigo_Briceño?= <[log in to unmask]> In-Reply-To: <[log in to unmask]> Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Message-ID: <[log in to unmask]> The probability that the 2nd chooses a number differendt from the first is 48/49, the probability that the 3rd chooses one different form the two first (given they chose different numbers) is 47/49, so the probability that all 10 choose different numbers is 48x47x...x40 / 49^9 And the probability that at least two numbers are identical is the complement of this. In R this goes: > 1 - prod(49-1:9)/(49^9) [1] 0.6262691 As stated. Bendix Carstensen Senior Statistician Epidemiology Steno Diabetes Center A/S Niels Steensens Vej 2-4 DK-2820 Gentofte Denmark +45 44 43 87 38 (direct) +45 30 75 87 38 (mobile) [log in to unmask] http://BendixCarstensen.com www.steno.dk > -----Original Message----- > From: A UK-based worldwide e-mail broadcast system mailing list > [mailto:[log in to unmask]] On Behalf Of Rodrigo Briceño > Sent: 31. december 2012 15:14 > To: [log in to unmask] > Subject: help understanding an exercise > > Dear allstat users. I'm having a hard time trying to understand the logics > behind the answer of this exercise: > > 10 friends choose, on an independent way, a number of the primitive > lottery (between 1 and 49). The probability that at least 2 of them choose > the same number is approximately: > > And the answer provided is 0.626 > > I tried with different alternatives but I got different answers. > > If someone could help me to understand how to structure the answer that > will be cool. > > -- > Rodrigo Briceño > Economist > [log in to unmask] > SKYPE: rbriceno1087 > > You may leave the list at any time by sending the command > > SIGNOFF allstat > > to [log in to unmask], leaving the subject line blank. 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, 31 Dec 2012 19:06:32 +0000 Reply-To: Peter Bruce <[log in to unmask]> Sender: A UK-based worldwide e-mail broadcast system mailing list <[log in to unmask]> From: Peter Bruce <[log in to unmask]> Subject: Online Courses: Upcoming courses in R Mime-Version: 1.0 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Message-ID: <[log in to unmask]> Dear : Upcoming courses using R: Jan 4: Intro to Statistical Modeling (D. Kaplan) Jan 18: Visualization in R with ggplot2 (R. Pruim) Mar 1: Intro to R - Data Handling (P. Murrell) Mar 1: Intro to R – Statistical Analysis (J. Verzani) Mar 8: Modeling in R (S. Purohit) Details: http://www.statistics.com/landing-page/r-courses/ The courses take place online at Statistics.com in a series of 4 weekly lesson and assignments, and requires about 15 hours/week. Participate at your own convenience; there are no set times when you are required to be online. Participants can ask questions and exchange comments directly with the instructors via private discussion boards throughout the course. Peter Bruce [log in to unmask] Statistics.com 612 N. Jackson St. Arlington VA 22201 USA You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.