ReviewCancers2024
Bayesian Methods for Information Borrowing in Basket Trials: An Overview.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Modern Clinical Trials: Seamless Designs and Master Protocols.Cancer medicine · 2026Review
- Augmented binary method for basket trials (ABBA).Statistical methods in medical research · 2026Article
- Incorporating historic information to further improve power when conducting Bayesian information borrowing in basket trials.Biostatistics (Oxford, England) · 2025Article
- Enhancing interpretability for Bayesian basket trial designs by effective sample size.BMC medical research methodology · 2025Article
- New clinical trial design borrowing information across patient subgroups based on fusion-penalized regression models.Statistical methods in medical research · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Basket trials allow simultaneous evaluation of a single therapy across multiple cancer types or subtypes of the same cancer. Since the same treatment is tested across all baskets, it may be desirable to borrow information across them to improve the statistical precision and power in estimating and detecting the treatment effects in different baskets. We review recent developments in Bayesian methods for the design and analysis of basket trials, focusing on the mechanism of information borrowing. We explain the common components of these methods, such as a prior model for the treatment effects that embodies an assumption of exchangeability. We also discuss the distinct features of these methods that lead to different degrees of borrowing. Through simulation studies, we demonstrate the impact of information borrowing on the operating characteristics of these methods and discuss its broader implications for drug development. Examples of basket trials are presented in both phase I and phase II settings.
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