Bayesian enrollment modeling for several emergency medicine clinical trials.

ABSTRACT:

Background

Accrual of participants into clinical trials is a fundamental and important aspect for the management of trial progress. Monitoring of trial accrual often provides insight into the potential timing of key study events, such as interim analysis, as well as the feasibility of the overall trial to enroll the projected sample size in the original estimated timeline.

Methods

A Bayesian first order simple dynamic linear model with weakly informative priors is utilized to characterize enrollment rates temporally within pre-defined time windows (quarterly) for the duration of a trial.

Results

Application of the model to three ongoing clinical trials demonstrates the utility of the model to characterize the observed accrual patterns. Additionally, the applications d

SUBMITTER: Beall J 

PROVIDER: S-EPMC12599014 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature