Bayesian adaptive clinical trial designs for respiratory medicine

Elizabeth G. Ryan, Dominique Laurent Couturier, Stephane Heritier

Research output: Contribution to journalReview ArticleResearchpeer-review

2 Citations (Scopus)


The use of Bayesian adaptive designs for clinical trials has increased in recent years, particularly during the COVID-19 pandemic. Bayesian adaptive designs offer a flexible and efficient framework for conducting clinical trials and may provide results that are more useful and natural to interpret for clinicians, compared to traditional approaches. In this review, we provide an introduction to Bayesian adaptive designs and discuss its use in recent clinical trials conducted in respiratory medicine. We illustrate this approach by constructing a Bayesian adaptive design for a multi-arm trial that compares two non-invasive ventilation treatments to standard oxygen therapy for patients with acute cardiogenic pulmonary oedema. We highlight the benefits and some of the challenges involved in designing and implementing Bayesian adaptive trials.

Original languageEnglish
Pages (from-to)834-843
Number of pages10
Issue number10
Publication statusPublished - Oct 2022


  • adaptive trial
  • Bayesian adaptive design
  • Bayesian methods
  • clinical trials
  • interim analysis
  • monitoring

Cite this