Bayesian Statistics to Reanalyze Data From the STAAMP Trial
This quality improvement study using a post hoc bayesian reanalysis of the STAAMP trial suggested a high probability that prehospital TXA would improve survival. Bayesian methods may offer refined inference and support clinical decision-making in prehospital trauma care.
Authors
- Brian J. Eastridge (ORCID: https://orcid.org/0000-0001-8875-869X)
- Matthew D. Neal (ORCID: https://orcid.org/0000-0001-8931-6236)
- Francis Xavier Guyette (ORCID: https://orcid.org/0000-0002-9151-4896)
- Danielle S. Gruen (ORCID: https://orcid.org/0000-0003-1019-4390)
- Stephen R. Wisniewski (ORCID: https://orcid.org/0000-0002-3877-9860)
- Joshua B. Brown (ORCID: https://orcid.org/0000-0002-6936-035X)
- Gary Vercruysse
- Bellal Joseph
- Raminder Nirula
- Terence O’Keeffe
- James Matuk
- Christine M. Leeper
- Jason L. Sperry
Institutions
- The University of Texas at San Antonio Health Science Center (US)
- University of Pittsburgh (US)
- University of Utah (US)
- Augusta University (US)
- University of Michigan (US)
- Banner - University Medical Center Tucson (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1001/jamanetworkopen.2026.2112
- Primary Topic
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00