Bayesian dynamic borrowing in group-sequential design for medical device studies
The proposed Bayesian Group-Sequential Design with SAM prior offers a robust, adaptive framework for medical device trials, balancing statistical rigor with clinical interpretability. This approach enhances decision-making and supports timely, cost-effective evaluations, particularly in dynamic contexts like medical device development.
Authors
- Maria Vittoria Chiaruttini (ORCID: https://orcid.org/0000-0002-8612-237X)
- Darío Gregori (ORCID: https://orcid.org/0000-0001-7906-0580)
- Giulia Lorenzoni (ORCID: https://orcid.org/0000-0003-1771-4686)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s12874-025-02520-6
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Università degli Studi di Padova