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