Objectives of the workshop: Propagate the Bayesian thinking in general and in particular in the pharmaceutical industry - Provide short courses in Bayesian methodology - Learn with applied case studies (Clinical, non-clinical, CMC, ...) - Emphasize the advantages of Bayesian modeling for science and for business
Preliminary Program
Day 1: Computational methods
Morning: Course: An Introduction to INLA with a Comparison to JAGS by Gianluca Baio (UC London)
Afternoon: Invited talk (TBA) + contributed talks
Day 2: Missing data and signal detection
Morning: Bayesian methods for missing data imputation – invited talks by Nicky Best and Alexina Mason (Imperical college, London) and contributed talks
Afternoon: Bayesian signal detection in drug research– invited talk by David Ohlssen (NOVARTIS) and contributed talks
Bayesian signal detection in genome wide association studies – invited talk by Emmanuel Lesaffre and Veronika Rockova (Erasmus MC) and contributed talks
Day 3 (morning): Contributed talks on the application of Bayesian methods in medical research with a focus on problems in pharmaceutical industry
Scientific Committee
Emmanuel Lesaffre, Erasmus MC, The Netherlands
Gianluca Baio, U.C. London, UK
Bruno Boulanger, Arlenda, Belgium
Muriel Boulton, Grünenthal, Germany
Brad Carlin, U. Minnesota, US
Julien Cornebise, DeepMind Technologies, UK
Christel Faes, U.Hasselt, Belgium
Tom Jacobs, Janssen, Belgium
Astrid Jullion, Arlenda, Belgium
Philippe Lambert, U. Liège, Belgium
Sophie Vanbelle, U.Maastricht, The Netherlands
Local Organizing Committee
Emmanuel Lesaffre, Erasmus MC, Rotterdam
Eline van Gent, Erasmus MC, Rotterdam
Registration
Student: free
Academics: 250€
Industry, Quetelet member: 350€
Industry: 500€
Website
www.bayes-pharma.org
Address
Erasmus MC
Dr. Molewaterplein 50-60
Rotterdam
The Netherlands
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