Incorporating data from multiple ongoing trials for Bayesian two-stage phase II single-arm studies
Our proposed Bayesian two-stage approach effectively integrates data from multiple ongoing basket trials, enhancing the ability to recruit and analyze patients with rare genomic alterations. This approach improves the timing of interim decision-making and final analysis, making it a valuable tool for trials with slow accrual rates.
Authors
- Elizabeth Garrett‐Mayer (ORCID: https://orcid.org/0000-0003-4709-0333)
- Richard L. Schilsky (ORCID: https://orcid.org/0000-0003-4474-4303)
- Susan Halabi (ORCID: https://orcid.org/0000-0003-4135-2777)
- Lorenzo Trippa (ORCID: https://orcid.org/0000-0001-5218-5666)
- Taehwa Choi (ORCID: https://orcid.org/0000-0001-7750-9276)
Institutions
- American Society of Clinical Oncology (US)
- Sungshin Women's University (KR)
- Duke University (US)
- Dana-Farber Cancer Institute (US)
- Duke Cancer Institute
Publication Details
- Journal
- Clinical Trials
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1177/17407745251358233
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Prostate Cancer Foundation
- American Society of Clinical Oncology
- National Institutes of Health
- U.S. Food and Drug Administration
- National Cancer Institute