Who benefits? Uncovering hidden heterogeneity of treatment effects in adaptive trials using Bayesian methods: a systematic review
The small number of simulation-based studies illustrates preliminary but promising directions for applying Bayesian methods to detect HTE in adaptive clinical trials. While these approaches demonstrate potential to enhance trial adaptability, scalability, and inclusiveness, current evidence remains limited and largely conceptual. Incorporating an equity lens into future methodological development, alongside greater emphasis on empirical validation and open science practices, will be essential to determine their practical value in advancing equitable clinical research.
Authors
- Rachel Giblon (ORCID: https://orcid.org/0009-0007-0110-8557)
- Ewan C. Goligher (ORCID: https://orcid.org/0000-0002-0990-6701)
- Chaochao Gao (ORCID: https://orcid.org/0000-0002-0414-3477)
- Allen L. Pimienta
- Anna Heath (ORCID: https://orcid.org/0000-0002-7263-4251)
- Yongdong Ouyang (ORCID: https://orcid.org/0000-0002-8692-2991)
- Jessie Cunningham (ORCID: https://orcid.org/0000-0002-3453-0515)
- Kuan Liu (ORCID: https://orcid.org/0000-0002-5017-1276)
Institutions
- University Health Network (CA)
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- Public Health Ontario (CA)
- SickKids Foundation (CA)
- Institute for Clinical Evaluative Sciences (CA)
- University College London (GB)
Publication Details
- Journal
- Trials
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1186/s13063-025-09291-x
- Citations
- 1
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 2.63