ArticleStatistical methods in medical research2020
An adaptive power prior for sequential clinical trials - Application to bridging studies.
Article in Statistical methods in medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A diagnostic phase III/IV seamless design to investigate the diagnostic accuracy and clinical effectiveness using the example of HEDOS and HEDOS II.Statistical methods in medical research · 2024Trial
- A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design.Statistics in medicine · 2024Article
- Using dichotomized survival data to construct a prior distribution for a Bayesian seamless Phase II/III clinical trial.Statistical methods in medical research · 2023Article
- The scale transformed power prior for use with historical data from a different outcome model.Statistics in medicine · 2023Article
- Phase I dose-escalation oncology trials with sequential multiple schedules.BMC medical research methodology · 2021Article
- Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach.International journal of environmental research and public health · 2021Article
- Prior Elicitation for Use in Clinical Trial Design and Analysis: A Literature Review.International journal of environmental research and public health · 2021Review
- Estimating Similarity of Dose-Response Relationships in Phase I Clinical Trials-Case Study in Bridging Data Package.International journal of environmental research and public health · 2021Article
- Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue?Statistics in biopharmaceutical research · 2020Article
- Effects of sceptical priors on the performance of adaptive clinical trials with binary outcomes.Pharmaceutical statisticsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During drug evaluation trials, information from clinical trials previously conducted on another population, indications or schedules may be available. In these cases, it might be desirable to share information by efficiently using the available resources. In this work, we developed an adaptive power prior with a commensurability parameter for using historical or external information. It allows, at each stage, full borrowing when the data are not in conflict, no borrowing when the data are in conflict or "tuned" borrowing when the data are in between. We propose to apply our adaptive power prior method to bridging studies between Caucasians and Asians, and we focus on the sequential adaptive allocation design, although other design settings can be used. We weight the prior information in two steps: the effective sample size approach is used to set the maximum desirable amount of information to be shared from historical data at each step of the trial; then, in a sort of Empirical Bayes approach, a commensurability parameter is chosen using a measure of distribution distance. This approach avoids elicitation and computational issues regarding the usual Empirical Bayes approach. We propose several versions of our method, and we conducted an extensive simulation study evaluating the robustness and sensitivity to prior choices.
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