Evaluating Bayesian Borrowing Methods for Treatment Effect Extrapolation: A Simulation-Based Study
At ISPOR Europe 2025, Marie Génin and Antoine Movschin presented Quinten Health’s large-scale simulation study assessing Bayesian borrowing methods for extrapolating treatment effects from a source population to a target population. These methods are particularly relevant in paediatrics, rare diseases, and small-population contexts where direct evidence generation is difficult. Poster presented by Marie and Antoine […]
Evaluating Bayesian Borrowing Methods for Treatment Effect Extrapolation: A Simulation-Based Study
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Marie Génin, Tristan Fauvel, Antoine Movschin, Billy Amzal View Poster OBJECTIVES Bayesian borrowing methods are increasingly used to extrapolate treatment effects when direct evidence generation is challenging, such as for pediatrics or rare diseases. This study aimed to evaluate and compare the performance of Bayesian methods for treatment […]
Comparison of Bayesian methods for extrapolation of treatment effects: a large scale simulation study
Publisher: arXivAuthors: Tristan Fauvel, Julien Tanniou, Pascal Godbillot, Billy Amzal View Publication Abstract Extrapolating treatment effects from related studies is a promising strategy for designing and analyzing clinical trials in situations where achieving an adequate sample size is challenging. Bayesian methods are well-suited for this purpose, as they enable the synthesis of prior information through the use of […]
