The whole set of slides  can be directly downloaded HERE


Day 1 – Tuesday, 21st May 2019

13:30 – 14:00     Registration & Welcome coffee

14:00 – 18:00      Course: How to practically implement adaptive design?  (SLIDES)

Adrian Mander and James Wason, MRC Biostatistics Unit, University of Cambridge

Including coffee break (15:45 – 16:15)


Day 2 – Wednesday, 22nd May 2019

08:00 – 08:40  Registration continued

08:40 – 09:00  Welcome to the main conference


Session 1        Session Theme: Decision making in digitalized world

Chair: Emmanuel Lesaffre


09:00 – 09:45     Invited talk: Prof. Kerrie Mengersen, Queensland University of Technology, Australia  (SLIDES)

Bayesian Learning for Decision Making in the Big Data Era

09:45 – 10:05     Marmaduke Woodman (University of Aix-Marseille)  (SLIDES)

Translational Neuroscience: from dynamical systems to personalized medicine

10:05 – 10:25     Pantelis Samartsidi  (University of Cambridge)  (SLIDES)

A Bayesian multivariate factor analysis model for evaluating an intervention using observational time-series data on multiple outcomes

10:25 – 10:45     Yingbo Wang (Novartis Pharma AG)  (SLIDES)

Bayesian non-inferiority design borrowing strength from historical controls with a meta-analytic-predictive approach

10:45 11:15 Coffee Break & Sweeties

11:15 – 11:35     Alice Gosselin (Sanofi)  (SLIDES)

Comparison Study for Matching Methodologies for Historical Data Borrowing

11:35 – 11:55  Marta Pittavino (University of Geneva)  (SLIDES)

A Bayesian hierarchical model to integrate dietary exposure and biomarker measurements for the risk of cancer


11:5512:05     180 seconds challenge:

Evidence Synthesis: a comparison of Bayesian and frequentist approaches

Bayesian forecasting of infectious diseases with SIRS models


12:05 – 13:30 Lunch time

13:30 – 13:40 Serious Game


Session 2        Session Theme: Bayesian modeling

Chair: Laurent Estève


13:40 – 14:25    Invited talk: Prof. Jean-Michel Marin, University of Montpellier  (SLIDES)

Bayesian model choice

14:25 – 14:45     Amy Shi  (SLIDES)

Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models

14:45   – 15:05     Sophie Ancelet (Institut de Radioprotection et de Sûreté Nucléaire, Paris)

A Bayesian Poisson mixture model for model selection and dose estimation in biological retrospective dosimetry

15:05– 15:25    Haitao Chu (University of Minnesota)  (SLIDES)

A Bayesian Hierarchical Model Estimating CACE in Meta-analysis of Randomized Clinical Trials with Noncompliance

15:25 – 15:55 Coffee Break



Session 3        Session Theme: Non-linear modeling

Chair: Astrid Jullion


15:55 – 16:40    Invited talk: Dr. François Mercier, Roche  (SLIDES)

Bayesian non-linear disease progression models

16:40 – 17:00    Antoine Pissoort (Pharmalex)  (SLIDES)

A Bayesian Disease progression model of Parkinson Disease combining RWD and natural history data to evaluate a new treatement

17:00 – 17:20    Maud Hennion (Pharmalex)  (SLIDES)

Pharmacokinetic Model with SAS – Proc MCMC with applications to preclinical pharmacology

17:20 – 17:40    Fabiola La Gamba (Janssen Pharmaceutica)  (SLIDES)

Bayesian sequential integration within a preclinical PK/PD modeling framework: Lessons learned

17:40 – 17:50 Day 2 closure & Social event details


19:30 – 23:00 Social Event


Day 3 – Thursday, 23rd May 2019

08:00 – 08:20  Registration continued

08:20 – 08:30  Welcome to Day 3


Session 4        Session Theme: Designing clinical trials

Chair: Heinz Schmidli


08:30 – 09:15     Invited talk: Dr. Kaspar Rufibach, Roche  (SLIDES)

Bayesian Predictive Power: Theory, challenges in implementations and perspectives

09:15 – 09:35    Arnaud Monseur (Pharmalex)  (SLIDES)

From Power and Assurance to Bayesian Power: application to probability of success 

09:35 – 09:55    Astrid Jullion (Novartis)  (SLIDES)

Probability of success: a viable concept to inform the early development of a topical drug 

09:55 – 10:15    Samuel Pawel (University of Zurich)  (SLIDES)

Predictive Evaluation of Replication Studies 

10:15 10:45 Coffee Break & Sweeties

10:45 – 11:05    Charlotte Micheloud (University of Zurich)  (SLIDES)

Sample Size Calculation for Replication Studies 

11:05 – 11:25    Annette Kopp-Schneider (German Cancer Research Center) (SLIDES)

Use of external information in clinical trials: What can be gained in terms of frequentist power? 

11:25 – 12:10    Invited talk: Prof. Dr. Eric-Jan Wagenmakers, Amsterdam University, NL

Bayesian benefits for the pragmatic biostatistician   (SLIDES)

12:10 – 13:25 Lunch time

13:25 – 13:35 Serious Game


 Session 5        Session Theme: Inference in clinical research

Chair: Bruno Boulanger


13:35 – 13:55    180 seconds challenge

Bayesian clinical trials design and evaluation: a decision-theoretic view 

Bayesian joint modelling of longitudinal and time to event data: A review of methods and issues

Bayesian method to predict the probability to comply to the criteria for a future study or to monitor a new study

13:55 – 14:40    Invited talk: Prof. Sara Geneletti, London School of Economics, UK

Causal inference in clinical research    (SLIDES)

14:40 – 15:00    Burak Kürsad Günhan (University Medical Center Göttingen)  (SLIDES)

Model-based meta-analysis using arm-based models 


15:00 – 15:20    Jing Zhang (University of Maryland)

Bayesian joint meta-regression methods adjusting for post-randomization variables in network meta-analysis? 

15:20 – 15:40    Kelly R. Moran (Duke University)  (SLIDES)

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data 

15:40 16:10 Coffee Break & Sweeties

Session 6        Session Theme: Bayesian Statistics in CMC

Chair: Didier Poirault


16:10 – 16:55     Invited talk: Dr. Mike Denham, GSK, UK:

Bayesian Statistics in CMC  (SLIDES)

16:55 – 17:15    Piotr Juszczak (Roche Diagnostics)

On supporting development of diagnostic assays with Bayesian modelling and simulation  

17:15 – 17:35    Bernard G Francq (GSK Vaccines)  (SLIDES)

Bayesian Coefficients of Variation in Linear Mixed Models, Random Effects and Precision in Assay Qualification

17:35 – 17:55    Xiaolong Luo (Celgene Corporation)  (SLIDES)

Comparison of Bayesian Multivariate Models for Detecting Safety Signals in Clinical Trials

17:55               BAYES2020 Announcement


Day 4 – Friday, 24th May 2019

08:00 – 08:20  Registration continued

08:20 – 08:30  Welcome to Day 4


Session 7        Session Theme: Bayesian statistics for 21st century cures

Chair: Leonhard HELD


08:30 – 09:10     J. Jack Lee, Ying Yuan, Department of Biostatistics, University of Texas MD Anderson Cancer Center  (SLIDES)

Bayesian Model-Assisted Designs and Their Applications for Early Phase Clinical Trials – When Simplicity Meets Superiority

09:10 – 09:30    Forrest Williamson (Eli Lilly and Company)   (SLIDES)

Bayesian applications in rare disease clinical trial research 

09:30 – 09:50    Barbara Wendelberger (Berry Consultants, USA)  (SLIDES)

Guiding clinical trial design for a rare disease using natural history data and Bayesian disease progression modeling 

09:50 – 10:10    Angély Loubert (Université de Lyon)  (SLIDES)

Combination of prior distributions elicited from expert opinions previous to Bayesian inference. Application to personalized medicine

10:10 10:40 Coffee Break & Sweeties

10:40 – 11:00    Pierre Colin (Sanofi)  (SLIDES)

Use of Probability of Success – A way to manage more available information 

11:00 – 11:20    Anna Pöhlmann (University of Bamberg, Germany)  (SLIDES)

An R Shiny App to design and analyse basket trials in Oncology

11:20 – 11:40    Oliver Sailer (Boehringer Ingelheim)  (SLIDES)

Exploring early interim analyses in basket designs in Oncology 

11:40 – 12:00    Haiyan Zheng (Newcastle University)  (SLIDES)

Bayesian basket trial designs for borrowing of information across similar subpopulations 

12:00 – 12:15 Closing Event & lunch