Bayesian Proactive Dynamic Borrowing Utilizing Propensity Score Overlap for a Hybrid Control Arm and the Impacts of Various Biases: A Simulation Study
Our approach has an advantage in borrowing external controls with selection bias. However, biases that severely affect PS estimation and outcomes can undermine the performance of PS-integrated Bayesian borrowing methods, particularly those that rely solely on covariate similarity for discounting.
Authors
- Chen Yao (ORCID: https://orcid.org/0000-0003-4224-5535)
- Han Cao (ORCID: https://orcid.org/0000-0003-3985-0267)
- Kai Wang (ORCID: https://orcid.org/0009-0000-3901-2998)
Institutions
- Peking University (CN)
- Peking University First Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Evidence-Based Medicine
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1111/jebm.70022
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00