Bayesian enrollment modeling for several emergency medicine clinical trials
Much statistical literature has been dedicated to predicting when key study events are likely to occur by utilizing current estimated rates of participant accrual; however, study teams, sponsors, and funding agencies have interest in the previous trends in participant accrual. This work presents an addition to the literature which allows parties interested in assessing trial progress to do so by providing a flexible framework for the standardized characterization of trial accrual which is not overly sensitive to the expected variability of trial accrual.
Authors
- Byron J. Gajewski (ORCID: https://orcid.org/0000-0001-7589-8247)
- Frederick K. Korley (ORCID: https://orcid.org/0000-0003-4920-8278)
- Sharon D. Yeatts (ORCID: https://orcid.org/0000-0001-9235-0670)
- Lori Shutter (ORCID: https://orcid.org/0000-0002-1390-0628)
- Jonathan Beall (ORCID: https://orcid.org/0000-0003-2135-2606)
- Robert Silbergleit
Institutions
- Medical University of South Carolina (US)
- University of Pittsburgh (US)
- University of Michigan (US)
- University of Kansas Medical Center (US)
Publication Details
- Journal
- Trials
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s13063-025-08748-3
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute