The slides of the presentations are available for download.
   
   

DAY 1 (Wednesday 20th June)

9 – 9.30am
Registration and Refreshments  

9.30am – 5pm (including lunch and refreshment breaks)    

Course: Bayesian approaches to incorporate historical data into clinical trials
                                                     
Course Leaders: Nicky Best (GlaxoSmithKline), Maxine Bennett (MRC Biostatistics Unit, University of Cambridge), Leonhard Held (University of Zurich), Isaac Gravestock (University of Zurich)  

5 – 6pm                                         
Welcome Evening Reception

 

DAY 2 (Thursday 21st June)

 

8.45 – 9.15am                              
Welcome and Refreshments

9.15 – 9.30am                              
Introduction

9.30 – 10.30am                            
Chair: Gianluca Baio, University College London

Invited Talk: Deborah Ashby, Imperial College London
Bayesian approaches in the regulation of medicines: current and future potential’

10.30 – 11am                               
Refreshments

11 – 12.20pm                               
Contributed Presentations

Bayesian contributions to regulatory setting

12.30 – 1.30pm                            
Lunch

1.30 – 2.30pm                             
Chair: Adrian Mander, MRC Biostatistics Unit, University of Cambridge

Invited Talk: Jack Lee, University of Texas
Bayesian adaptive designs – from theory to practice

2.30 – 2.50pm                              
Refreshments

2.50 – 4.10pm                              
Contributed Presentations

Adaptive trials

4.30 – 6pm                                   
Poster Presentations

7.30 – 10pm                                 
Conference Dinner

 

DAY 3 (Friday 22nd June)

9 – 9.30am                                    
Welcome and Refreshments

9.30 – 10.30am                            
Chair: Leonhard Held, University of Zurich    

Invited Talk: Mike Daniels, University of Florida
Bayesian non-parametrics, missing data, and causal inference’

10.30 – 11am                               
Refreshments

11 – 12.20pm                                
Contributed Presentations

Bayesian approaches to bias modelling and causal inference

Studies’ – Erica Ponzi, University of Zürich

12.30 – 1.30pm                           
Lunch

1.30 – 2.30pm                             
Chair: Lorenz Wernisch, MRC Biostatistics Unit, University of Cambridge

Invited Talk: Mihaela van der Schaar, Man Institute of Quantitative Finance, Oxford
‘AutoPrognosis: An Automated Machine Learning Framework for Generating Clinical Prognostic Models’

2.30 – 2.50pm                              
Refreshments

2.50 – 4.10pm                               
Contributed Presentations

Decision support for health policy and clinical care

4.10 – 4.30pm                              
Closing Remarks