Bayes 2018

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

  • Large Scale process optimization using Bayesian modelling with Reduced Scale process priors’ – Pierre Hubin, Arlenda
  • ‘Bayesian Modeling for benefit-risk balance analysis’ – Konstantinos Vamvourellis, London School of Economics
  • ‘Bayesian meta-analytic methods for inclusion of external evidence to inform surrogate endpoint evaluation’ – Tasos Papanikos, University of Leicester
  • Bivariate network meta-analysis with second order consistency assumption and application to surrogate endpoint evaluation’ – Sylwia Bujkiewicz, University of Leicester

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

  • A Bayesian adaptive design in cancer phase I/II trials with drug combinations using escalation with overdose control (EWOC) and adaptive randomization’ – José Jiménez, Politecnico di Torino, Italy
  • The influence of particular design elements on operational characteristics of trials using Bayesian biomarker-driven outcome-adaptive randomization’ – Leandro García Barrado, Hasselt University, Belgium
  • A forward looking covariate-adjusted response-adaptive (CARA) patient randomisation rule: delivering personalised treatments, patient benefit and power gains in multi-armed trials’ – Sofia Villar, MRC Biostatistics Unit
  • ‘Bayesian Adaptive Multi-Arm Platform Trials’ – Ben Saville, Berry Consultants

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

  • Estimating Heterogeneous Treatment Effects for Latent Subgroups in Observational Studies’ – Bo Lu, The Ohio State University
  • Bayesian Measurement Error Models for air pollution and health

Studies’ – Erica Ponzi, University of Zürich

  • ‘Determining organ weight toxicity with Bayesian causal models: Improving on the analysis of relative organ weights’ – Stanley Lazic, AstraZeneca
  • ‘Use of Bayesian methods to correct for bias from exposure measurement error and select the best polynomial regression model’ – Christen Gray, London School of Hygiene and Tropical Medicine

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

  • ‘Individualising model-based predictions of neutropenia for decision support in oncology using sequential Bayesian data assimilation’ – Corinna Maier, University of Potsdam, Freie Universität Berlin
  • ‘Model-based network meta-analysis for time-course relationships: A union of two methodologies’ – Hugo Pedder, University of Bristol 
  • The quantile probability model – A novel approach to Bayesian variable selection for clinical prediction’ – Rachel Heyard, University of Zürich
  • Group-regularized logistic elastic net regression: improved omics-based classification’ – Magnus Münch, Amsterdam Public Health Research Institute, VU University Medical Center

4.10 – 4.30pm                              
Closing Remarks