Program

*Please note that the programme is provisional and might slightly change in the next few days

The word version of the program can be 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?

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

Bayesian Learning for Decision Making in the Big Data Era

09:45 – 10:05     Viktor Jirsa (University of Aix-Marseille)

Translational Neuroscience: from dynamical systems to personalized medicine

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

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

10:25 – 10:45     Claire Donnat (Stanford University)

A Bayesian ICA framework for multimodal imaging integration in Brain Connectomics

10:45 11:15 Coffee Break & Sweeties

11:15 – 11:35     Yingbo Wang (Novartis Pharma AG)

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

11:35 – 11:55     Alice Gosselin (Sanofi)

Comparison Study for Matching Methodologies for Historical Data Borrowing

11:55 – 12:15     Fei Chen (Janssen Pharmaceuticals)

Modeling and Simulation of External Clinical Trial Results to Improve Drug Development Decisions: A Three-Step Process with Case Studies

12:1512:35     180 seconds challenge:

  • Hannah Lennon (University of Geneva)

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

  • Petra Graham (University of Adelaide, Australia)

Evidence Synthesis: a comparison of Bayesian and frequentist approaches

  • James A. Thompson (Texas A&M University)

A Bayesian interaction approach to mediation modeling: a case study into causes of caesarean section among American women.

  • Noel Cressie (University of Wollongong – Australia)

Bayesian forecasting of infectious diseases with SIRS models

12:35 – 13:50 Lunch time

13:50 – 14:00 Serious Game

 

Session 2        Session Theme: Bayesian modeling

Chair: Laurent Estève

 

14:00 – 14:45    Invited talk: Prof. Jean-Michel Marin, University of Montpellier

Bayesian model choice

14:45 – 15:05     Amy Shi

Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models

15:05 – 15:25     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

15:25 – 15:45    Haitao Chu (University of Minnesota)

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

15:45 – 16:15 Coffee Break

 

 

Session 3        Session Theme: Non-linear modeling

Chair: Astrid Jullion

 

16:15 – 17:00    Invited talk: Dr. François Mercier, Roche

Bayesian non-linear disease progression models

17:00 – 17:20    Antoine Pissoort (Pharmalex)

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

17:20 – 17:40    Maud Hennion (Pharmalex)

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

17:40 – 18:00    Fabiola La Gamba (Janssen Pharmaceutica)

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

18:00 – 18:10 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

Bayesian Predictive Power: Theory, challenges in implementations and perspectives

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

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

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

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

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

Predictive Evaluation of Replication Studies 

10:15 10:45 Coffee Break & Sweeties

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

Sample Size Calculation for Replication Studies 

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

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 

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

  • Sylvia Calderazzo (German cancer research center)

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

  • Maha Alsefri (University of Liverpool)

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

  • Audrey Larue-Triolet (BioMérieux)

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  

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

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)

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

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)

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

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

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

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) 

Bayesian applications in rare disease clinical trial research 

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

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)

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)

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

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

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

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

Exploring early interim analyses in basket designs in Oncology 

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

Bayesian basket trial designs for borrowing of information across similar subpopulations 

12:00 – 12:15 Closing Event & lunch

 

 

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