Using Bayesian adaptive designs to improve phase III trials: a respiratory care example.

ABSTRACT:

Background

Bayesian adaptive designs can improve the efficiency of trials, and lead to trials that can produce high quality evidence more quickly, with fewer patients and lower costs than traditional methods. The aim of this work was to determine how Bayesian adaptive designs can be constructed for phase III clinical trials in critical care, and to assess the influence that Bayesian designs would have on trial efficiency and study results.

Methods

We re-designed the High Frequency OSCillation in Acute Respiratory distress syndrome (OSCAR) trial using Bayesian adaptive design methods, to allow for the possibility of early stopping for success or futility. We constructed several alternative designs and studied their operating characteristics via simulation. We then performed v

SUBMITTER: Ryan EG 

PROVIDER: S-EPMC6515675 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature