BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 13.3//EN BEGIN:VEVENT DESCRIPTION:A PSI Training Course in Practical Bayesian Analysis presented by: Phil Woodward\, Pfizer James Matcham\, AstraZeneca 25-26 Feb 2014\n\ nTheobalds Park\, Cheshunt\, Waltham Cross\, Hertfordshire\, EN7 5HW\n Thi s two day course introduces practical Bayesian analysis in the clinical tr ial setting. This course provides an introduction to practical Bayesian an alysis in the clinical trial setting. It is aimed at statisticians who are looking for a practical introductory course and who need to be able to co nduct Bayesian analyses as part of their day to day work. The course begin s with an introduction to Bayesian analyses using problems common in the c linical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis. The course will provide a step- by step guide to conducting Bayesian analyses in WinBugs and in SAS®\;\ , so that by the end of the course you will be able to conduct your own an alyses. Some other resources that facilitate Bayesian analysis will be bri efly discussed\, including a brief demonstration of how BugsXLA provides a n interface to WinBUGS that greatly simplifies the whole process. A laptop is strongly recommended to be able to follow the examples\, but is not es sential. SAS (version 9.2 and 9.3)\, WinBUGS or OpenBUGS as well as BugsXL A will be demonstrated. Participants will be able to follow the examples w ithout a laptop. About the presenters: Phil Woodward\, Pfizer After gradua ting with a BSc in statistics and mathematics\, Phil Woodward worked for 1 3 years in the nuclear and automotive industries\, during which time he co mpleted an MPhil degree researching the use of Bayesian methods to tackle some industrial statistics problems.  \;Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTh erapeutics Statistics\, leading the support to the research and developmen t of new medicines from early in the discovery process up to the first stu dies in patients. He is the creator of the Excel GUI for WinBUGS\, BugsXLA \, that greatly simplifies the analysis of data using Bayesian method\, an d author of the book\, &ldquo\;Bayesian Analysis Made Simple&rdquo\; that provides numerous case studies illustrating the ease with which Bayesian a nalyses can be undertaken. Phil is also an active member of the Royal Stat istical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools\, and is a current member of the Editorial Board of its flagsh ip magazine\, Significance. In 2011 he was given the inaugural RSS/PSI awa rd for Statistical Excellence in the Pharmaceutical Industry for "a portfo lio-wide implementation of a Bayesian framework for early clinical develop ment within a major pharmaceutical company." \nJames Matcham\, AstraZeneca After completing his studies at Imperial College in 1986\, James returned to his home town of Canterbury to work as a Research Fellow at the Applie d Statistics Research Unit at the University of Kent. He joined Amgen in 1 992 where he worked on the development and regulatory approval of many of Amgen&rsquo\;s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013\, James j oined AstraZeneca as Head of newly formed Early Clinical Development Biome trics group. James&rsquo\; interests are in the application of Bayesian me thods to early phase trial design\, clinical development decision making a nd in the assessment of comparative effectiveness. James serves as a membe r of the Professional Affairs Committee of the Royal Statistical Society a nd is a member of the Scientific Committee of the European Federation of S tatisticians in the Pharmaceutical Industry (EFSPI).  \; Course runs f rom:  \; 10:00 &ndash\; 17:00 (registration from 9:30) on Day 1 and&nb sp\;\n \; \; \; \; \; \; \; \; \;  \; \; \; \; \; \; \; \; \; \; \;&n bsp\; \; \; \; \; \; \; \; \; \; \ ; \; \; \; 9:00 &ndash\; 16:30 on Day 2. Registration Plea se register online at www.psiweb.org \;and click on Events\; payment n ow available online. Registration costs (includes lunch and refreshments) Early-Bird Registration on or before 17 Jan 2014 PSI Members: £\; 495 plus vat Non-members: £\;530 plus vat Standard Registration aft er 17 Jan 2014 PSI Members: £\;595 plus vat Non-members: £\;630 plus vat  \; PSI reserves the right to cancel the course if an ins ufficient number of delegates are registered by the early-bird deadline\, in which case the course fees and any hotel booking costs made through PSI will be refunded. PSI aims to be fully inclusive and endeavours to accomm odate delegates with disabilities wherever possible. Please help us to hel p you by letting us know if you require additional facilities or have any special requirements. For further information please contact: Emma Lovett\ , \;Tel: +44 (0)845 180 349\, \;Fax: +44 (0)1730 715291\, \; E mail: \;PSI@mci-group.com DTEND;VALUE=DATE:20140227 DTSTAMP:20260310T062757Z DTSTART;VALUE=DATE:20140225 LOCATION: SEQUENCE:0 SUMMARY:Practical Interactions for Statisticians UID:RFCALITEM639087208772103318 X-ALT-DESC;FMTTYPE=text/html:

A PSI Training Course in Practical Bayesian Analysis presented by:

25-26 Feb 2014\n
\nTheobalds Park\, Cheshunt\, Waltham Cross\, Hertfordshire\, EN7 5HW\n

This two day course introduces practical Bayesian analysis in the clinical trial s etting.

This course provides an introduction to practical Bayesian analysis in the clinical trial setting. It is aimed at statistici ans who are looking for a practical introductory course and who need to be able to conduct Bayesian analyses as part of their day to day work. The c ourse begins with an introduction to Bayesian analyses using problems comm on in the clinical trial setting and progresses to the use of Bayesian app roaches in Dose Response modelling and Meta-Analysis.

The course wi ll provide a step-by step guide to conducting Bayesian analyses in WinBugs and in SAS®\;\, so that by the end of the course you will be able to c onduct your own analyses. Some other resources that facilitate Bayesian an alysis will be briefly discussed\, including a brief demonstration of how BugsXLA provides an interface to WinBUGS that greatly simplifies the whole process.

A laptop is strongly recommended to be able to follow the examples\, but is not essential. SAS (version 9.2 and 9.3)\, WinBUGS or O penBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.

About the present ers:

Phil Woodward\, Pfizer

After graduating with a BSc in statistics and mathematics\, Phil Woodward worked for 13 years in the nuclear and automotive industries\, during which time he completed an MPhil degree researching the use of Bayesian methods to t ackle some industrial statistics problems.  \;Since 1997 Phil has work ed for Pfizer Research in the UK. He is currently the VP Global Head of Ph armaTherapeutics Statistics\, leading the support to the research and deve lopment of new medicines from early in the discovery process up to the fir st studies in patients. He is the creator of the Excel GUI for WinBUGS\, B ugsXLA\, that greatly simplifies the analysis of data using Bayesian metho d\, and author of the book\, &ldquo\;Bayesian Analysis Made Simple&rdquo\; that provides numerous case studies illustrating the ease with which Baye sian analyses can be undertaken. Phil is also an active member of the Roya l Statistical Society: he was the 2008 Royal Statistical Society's Guy Lec turer for schools\, and is a current member of the Editorial Board of its flagship magazine\, Significance. In 2011 he was given the inaugural RSS/P SI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical d evelopment within a major pharmaceutical company."


\n James Matcham\, AstraZeneca

After completing his studies a t Imperial College in 1986\, James returned to his home town of Canterbury to work as a Research Fellow at the Applied Statistics Research Unit at t he University of Kent. He joined Amgen in 1992 where he worked on the deve lopment and regulatory approval of many of Amgen&rsquo\;s innovative thera peutics and consulted to clinical teams and statisticians in both early an d late stage development. In 2013\, James joined AstraZeneca as Head of ne wly formed Early Clinical Development Biometrics group. James&rsquo\; inte rests are in the application of Bayesian methods to early phase trial desi gn\, clinical development decision making and in the assessment of compara tive effectiveness.

James serves as a member of the Professional Af fairs Committee of the Royal Statistical Society and is a member of the Sc ientific Committee of the European Federation of Statisticians in the Phar maceutical Industry (EFSPI).

 \;

Course runs fro m:  \; 10:00 &ndash\; 17:00 (registration from 9:30) on Day 1 and  \;
\n \; \; \; \; \; \; \; \; \;& nbsp\; \; \; \; \; \; \; \; \; \;  \; \; \; \; \; \; \; \; \; \; \;&n bsp\; \; \; \; 9:00 &ndash\; 16:30 on Day 2.

< strong>Registration

Please reg ister online at www.psiw eb.org \;and click on Events\; payment now available online.

Registration costs (includes lunch and refreshments)

Early-Bird Regist ration on or before 17 Jan 2014

PSI Members: £\;495 p lus vat

Non-members: £\;530 plus vat

Standard Registration after 17 Jan 2014

PSI Members: £\;595 plus vat

Non-members: £\;630 plus vat

 \;

PSI rese rves the right to cancel the course if an insufficient number of delegates are registered by the early-bird deadline\, in which case the course fees and any hotel booking costs made through PSI will be refunded.

PSI aims to be fully inclusive and endeavours to accommodate delegates with d isabilities wherever possible. Please help us to help you by letting us kn ow if you require additional facilities or have any special requirements.< /p>

For further information please contact:

Emma Lovett\, \; Tel: +44 (0)845 180 349\, \;Fax: +44 (0)1730 715291\, \;
Email: \;PSI@mci-group.com

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