Browse by author
Lookup NU author(s): Luke Ouma, Dr Michael Grayling, Professor James WasonORCiD, Dr Haiyan ZhengORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022 The Authors. Journal of the Royal Statistical Society: Series C (Applied Statistics) published by John Wiley & Sons Ltd on behalf of Royal Statistical Society.Basket trials are an innovative precision medicine clinical trial design evaluating a single targeted therapy across multiple diseases that share a common characteristic. To date, most basket trials have been conducted in early-phase oncology settings, for which several Bayesian methods permitting information sharing across subtrials have been proposed. With the increasing interest of implementing randomised basket trials, information borrowing could be exploited in two ways; considering the commensurability of either the treatment effects or the outcomes specific to each of the treatment groups between the subtrials. In this article, we extend a previous analysis model based on distributional discrepancy for borrowing over the subtrial treatment effects (‘treatment effect borrowing’, TEB) to borrowing over the subtrial groupwise responses (‘treatment response borrowing’, TRB). Simulation results demonstrate that both modelling strategies provide substantial gains over an approach with no borrowing. TRB outperforms TEB especially when subtrial sample sizes are small on all operational characteristics, while the latter has considerable gains in performance over TRB when subtrial sample sizes are large, or the treatment effects and groupwise mean responses are noticeably heterogeneous across subtrials. Further, we notice that TRB, and TEB can potentially lead to different conclusions in the analysis of real data.
Author(s): Ouma LO, Grayling MJ, Wason JMS, Zheng H
Publication type: Article
Publication status: Published
Journal: Journal of the Royal Statistical Society. Series C: Applied Statistics
Year: 2022
Volume: 71
Issue: 5
Pages: 2014-2037
Print publication date: 01/11/2022
Online publication date: 28/10/2022
Acceptance date: 01/09/2022
Date deposited: 21/11/2022
ISSN (print): 0035-9254
ISSN (electronic): 1467-9876
Publisher: John Wiley and Sons Inc
URL: https://doi.org/10.1111/rssc.12602
DOI: 10.1111/rssc.12602
Altmetrics provided by Altmetric
