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Practical Interactions for Statisticians

Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW

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This course provides an introduction to practical Bayesian analysis 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 conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical trial setting and progresses to the use of Bayesian approaches in Dose Response modelling and Meta-Analysis.

A PSI Training Course in Practical Bayesian Analysis presented by:

  • Phil Woodward, Pfizer
  • James Matcham, AstraZeneca

25-26 Feb 2014
Theobalds Park, Cheshunt, Waltham Cross, Hertfordshire, EN7 5HW

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

This course provides an introduction to practical Bayesian analysis 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 conduct Bayesian analyses as part of their day to day work. The course begins with an introduction to Bayesian analyses using problems common in the clinical 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 analyses. Some other resources that facilitate Bayesian analysis 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 OpenBUGS as well as BugsXLA will be demonstrated. Participants will be able to follow the examples without a laptop.

About the presenters:

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 tackle some industrial statistics problems.  Since 1997 Phil has worked for Pfizer Research in the UK. He is currently the VP Global Head of PharmaTherapeutics Statistics, leading the support to the research and development of new medicines from early in the discovery process up to the first studies in patients. He is the creator of the Excel GUI for WinBUGS, BugsXLA, that greatly simplifies the analysis of data using Bayesian method, and author of the book, “Bayesian Analysis Made Simple” that provides numerous case studies illustrating the ease with which Bayesian analyses can be undertaken. Phil is also an active member of the Royal Statistical Society: he was the 2008 Royal Statistical Society's Guy Lecturer for schools, and is a current member of the Editorial Board of its flagship magazine, Significance. In 2011 he was given the inaugural RSS/PSI award for Statistical Excellence in the Pharmaceutical Industry for "a portfolio-wide implementation of a Bayesian framework for early clinical development within a major pharmaceutical company."


James 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 Applied Statistics Research Unit at the University of Kent. He joined Amgen in 1992 where he worked on the development and regulatory approval of many of Amgen’s innovative therapeutics and consulted to clinical teams and statisticians in both early and late stage development. In 2013, James joined AstraZeneca as Head of newly formed Early Clinical Development Biometrics group. James’ interests are in the application of Bayesian methods to early phase trial design, clinical development decision making and in the assessment of comparative effectiveness.

James serves as a member of the Professional Affairs Committee of the Royal Statistical Society and is a member of the Scientific Committee of the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI).

 

Course runs from:   10:00 – 17:00 (registration from 9:30) on Day 1 and 
                                   9:00 – 16:30 on Day 2.

Registration

Please register online at www.psiweb.org and click on Events; payment now 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 after 17 Jan 2014

PSI Members: £595 plus vat

Non-members: £630 plus vat

 

PSI reserves 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 disabilities wherever possible. Please help us to help 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, 
EmailPSI@mci-group.com

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