ArticleBMC medical research methodology2019
Using Bayesian adaptive designs to improve phase III trials: a respiratory care example.
Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 43 citations in OpenAlex.
- Bayesian adaptive designs for the optimisation of implementation strategies: a virtual re-execution of the Physically Active Children in Education (PACE) trials.Implementation science communications · 2026Article
- A case study in teaching and learning the design, conduction, and analysis of Bayesian adaptive trials through an application.Journal of clinical and translational science · 2026Article
- An efficient single-arm Bayesian adaptive trial algorithm to evaluate de-intensified oncologic treatment.Trials · 2025Article
- Bayesian interim analysis and efficiency of phase III randomized trials.British journal of cancer · 2025Article
- Use of Bayesian approaches in oncology clinical trials: A cross-sectional analysis.Frontiers in pharmacology · 2025Article
- The performance of a Bayesian value-based sequential clinical trial design in the presence of an equivocal cost-effectiveness signal: evidence from the HERO trial.BMC medical research methodology · 2024Article
- Bayesian Optimal Designs for Multi-Arm Multi-Stage Phase II Randomized Clinical Trials with Multiple Endpoints.Statistics in biopharmaceutical research · 2024Article
- Review
- Adaptive designs in critical care trials: a simulation study.BMC medical research methodology · 2023Article
- A Bayesian multi-arm multi-stage clinical trial design incorporating information about treatment ordering.Statistics in medicine · 2023Article
- Bayesian adaptive clinical trial designs for respiratory medicine.Respirology (Carlton, Vic.) · 2022Review
- Treatment of severe COVID-19 patients with either low- or high-volume of convalescent plasmaLancet regional health. Americas · 2022Article
- Improving clinical trials using Bayesian adaptive designs: a breast cancer example.BMC medical research methodology · 2022Article
- Comparison of Bayesian vs Frequentist Adaptive Trial Design in the Stroke Hyperglycemia Insulin Network Effort Trial.JAMA network open · 2022Article
- Bayesian adaptive design for pediatric clinical trials incorporating a community of prior beliefs.BMC medical research methodology · 2022Article
- Enrichment Bayesian design for randomized clinical trials using categorical biomarkers and a binary outcome.BMC medical research methodology · 2022Article
- Randomised clinical trials in critical care: past, present and future.Intensive care medicine · 2022Review
- Cost-effective clinical trial design: Application of a Bayesian sequential model to the ProFHER pragmatic trial.Clinical trials (London, England) · 2021Article
- Current status of Bayesian clinical trials for oncology, 2020.Contemporary clinical trials communications · 2020Review
- Will Evidence-based Medicine Survive the COVID-19 Pandemic?Annals of the American Thoracic Society · 2020Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundBayesian 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.
methodsWe 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 virtual re-executions by applying the Bayesian adaptive designs using the OSCAR data to demonstrate the practical applicability of the designs.
resultsWe constructed five alternative Bayesian adaptive designs and identified a preferred design based on the simulated operating characteristics, which had similar power to the original design but recruited fewer patients on average. The virtual re-executions showed the Bayesian sequential approach and original OSCAR trial yielded similar trial conclusions. However, using a Bayesian sequential design could have led to a reduced sample size and earlier completion of the trial.
conclusionsUsing the OSCAR trial as an example, this case study found that Bayesian adaptive designs can be constructed for phase III critical care trials. If the OSCAR trial had been run using one of the proposed Bayesian adaptive designs, it would have terminated at a smaller sample size with fewer deaths in the trial, whilst reaching the same conclusions. We recommend the wider use of Bayesian adaptive approaches in phase III clinical trials.
trial registrationOSCAR Trial registration ISRCTN, ISRCTN10416500 . Retrospectively registered 13 June 2007.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.