A practical guide to adopting Bayesian analyses in clinical research.

ABSTRACT:

Background

Bayesian statistical approaches are extensively used in new statistical methods but have not been adopted at the same rate in clinical and translational (C&T) research. The goal of this paper is to accelerate the transition of new methods into practice by improving the C&T researcher's ability to gain confidence in interpreting and implementing Bayesian analyses.

Methods

We developed a Bayesian data analysis plan and implemented that plan for a two-arm clinical trial comparing the effectiveness of a new opioid in reducing time to discharge from the post-operative anesthesia unit and nerve block usage in surgery. Through this application, we offer a brief tutorial on Bayesian methods and exhibit how to apply four Bayesian statistical packages from STATA, SAS, and R

SUBMITTER: Gunn-Sandell LB 

PROVIDER: S-EPMC10877520 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature