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Published on: October 17, 2025
Unified exact design with early stopping rules for single arm clinical trials with multiple endpoints
Wei Wei1, Denise Esserman1, Michael Kane1
1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
None:
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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