25-27 October 2023

Utrecht, Netherlands

Bayes 2023

DAY 1 – 25th October

08:30 - 09:00
09:00 - 12:30
Thomas Jaki, Pavel Mozgunov
University of Cambridge
12:30 - 13:30
13:30 - 13:45
Welcome and Opening
13:45 - 14:15
Kit Roes
Radboud University Nijmegen Medical Centre
Exploring regulatory perspectives on Bayesian statistics in assessment and decision making
14:55 - 15:15
Leonhard Held
University of Zurich
15:15 - 15:40
Coffee break
15:40 - 16:10
François Beckers
Application of Bayesian approaches in drug development: starting a virtuous cycle

The BAYES Organising Committee is delighted to invite all registered attendees to the social dinner at Stadskasteel Oudaen

DAY 2 – 26th October

08:30 - 09:00
Joost van Rosmalen
Erasmus MC
Augmenting treatment arms with external data through propensity-score weighted power-priors: an application in expanded access
09:40 - 10:00
Samuel Pawel
University of Zurich
10:00 - 10:25 MY TALK IN 3 MINUTES
Tanzy Love
University of Rochester
Forrest Williamson
Eli Lilly & Company
Tanja Krone
Netherlands Organization for Applied Scientific research (TNO)
10:25 - 10:50
Coffee break
10:50 - 11:20
Ethan Alt
University of North Carolina on Chapel Hill, USA
LEAP: The latent exchangeability prior for borrowing information from historical data
11:20 - 11:40
Silvia Calderazzo
German Cancer Research Center
11:40 - 12:00
Anduena Rexhepi
Boehringer Ingelheim
12:20 - 13:20
13:20 - 13:50
Veera Baladandayuthapani
University of Michigan
Bayesian Models for Multi-omic Multi-system Integration
14:50 - 15:15
Tobias Eilert
Boehringer Ingelheim
Juho Timonen
Aalto University & Generable Inc.
15:15 - 15:40
Coffee break
15:40 - 16:10
Lisa Hampson
Quantitative Decision Making for drug development: the role of Bayesian methods in evaluating and communicating risk
16:10 - 16:30
James Salsbury
University of Sheffield

DAY 3 – 27th October

10:00 - 10:20
James Willard
McGill University
10:20 - 10:45
Coffee break
10:45 - 11:15
J. Kyle Wathen
In a Sea of Design Options – Using Visualization to Navigate A Variety of Options for a Platform Trial
11:55 - 12:15
Lan Tran
12:!5 - 12:35
Eric-Jan Wagenmakers
University of Amsterdam

Short Description

Basket Trials

Traditionally, clinical trials are designed using a frequentist paradigm and aim to establish if a treatment is superior (non-inferior) to control on average.

Precision medicine trials goes further and seeks to establish whether a treatment works for a particular patient and to what extent.

Basket trials are one particular type of clinical trial with the goals of precision medicine in mind.

They simultaneously evaluate a new targeted therapy in different patient subgroups (e.g., defined by disease subtype) that share a commonality (e.g., genetic aberration) that the new treatment targets – all under one overarching protocol.

Efficient analysis of basket trials often features ‘borrowing of information’ across the subgroups and a number of highly efficient, robust methods have been proposed to this end.

In this course, through lectures and practical sessions, we will formally introduce Basket trials, review several efficient approaches for the analysis of Basket trials and discuss their merits and demerits. Particular topics discussed include:

  • Robust Bayesian hierarchical models and their variations
  • Sample size determination for basket trials
  • Inclusion of interim analyses in trial with information borrowing