Bayesian Reanalysis of Statistically Nonsignificant Outcomes in Plastic Surgery Clinical Trials
Nearly two-thirds of nonsignificant RCT outcomes provided only weak evidence supporting the absence of a difference. This uncertainty poses challenges for clinical decision-making and highlights the inefficiency in resource utilization. Integrating Bayesian statistics into future trial design and analysis could overcome these challenges, enhancing result interpretability and guiding medical practice and research.
Authors
- Kevin C. Chung (ORCID: https://orcid.org/0000-0002-2822-3164)
- Teun Teunis (ORCID: https://orcid.org/0000-0001-5660-0695)
- Casey Zhang (ORCID: https://orcid.org/0000-0002-0834-0910)
- Joseph N. Fahmy
- Chao Huang (ORCID: https://orcid.org/0000-0003-3023-4388)
- Gordon C. Wong
Institutions
- University of Michigan (US)
- University of Pittsburgh Medical Center (US)
Publication Details
- Journal
- Plastic & Reconstructive Surgery Global Open
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1097/gox.0000000000006370
- Citations
- 3
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 2.13
Funders
- University of Michigan
- University of Pittsburgh
- National Institutes of Health
- College of Pharmacy, University of Michigan
- Medical Center, University of Pittsburgh