Unified Exact Design With Early Stopping Rules For Single Arm Clinical Trials With Multiple Endpoints

STATISTICAL METHODS IN MEDICAL RESEARCH(2021)

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摘要
Adaptive designs are gaining popularity in early phase clinical trials because they enable investigators to change the course of a study in response to accumulating data. We propose a novel design to simultaneously monitor several endpoints. These include efficacy, futility, toxicity and other outcomes in early phase, single-arm studies. We construct a recursive relationship to compute the exact probabilities of stopping for any combination of endpoints without the need for simulation, given pre-specified decision rules. The proposed design is flexible in the number and timing of interim analyses. A R Shiny app with user-friendly web interface has been created to facilitate the implementation of the proposed design.
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关键词
Go, no go decisions, multiple endpoints, biomarker endpoints, conditional power, early phase
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