Bayesian methods: a potential path forward for sepsis trials.

ABSTRACT:

Background

Given the success of recent platform trials for COVID-19, Bayesian statistical methods have become an option for complex, heterogenous syndromes like sepsis. However, study design will require careful consideration of how statistical power varies using Bayesian methods across different choices for how historical data are incorporated through a prior distribution and how the analysis is ultimately conducted. Our objective with the current analysis is to assess how different uses of historical data through a prior distribution, and type of analysis influence results of a proposed trial that will be analyzed using Bayesian statistical methods.

Methods

We conducted a simulation study incorporating historical data from a published multicenter, randomized clinical trial

SUBMITTER: Tomlinson G 

PROVIDER: S-EPMC10634134 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature