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404 – Adaptive Designs with Applications in Phase I/II Trials

Two-Stage Futility Analysis in Phase III Adaptive Trials with Time-to-Event Endpoint

Sponsor: Biopharmaceutical Section
Keywords: Benefit-cost ratio, survival analysis, adaptive design, oncology phase III trials

Cong Chen

Merck

Xiaoyun Li (Nicole)

Merck & Co.

Interim futility analysis is a critical component in oncology phase III studies due to high failure rate in spite of strong efficacy signals observed in phase II trials. For phase III trials with a time-to-event endpoint, a typical interim futility analysis is performed. We propose a two-stage futility analysis in phase III adaptive trials with a time-to-event endpoint to decide whether to continue enrollment or stop the trial completely in the early portion of the study without any requirement on minimum follow-up time. This approach is appropriate if the proportional hazard assumption is valid. However, it is rarely true in practice that proportional hazard assumption holds. We propose a two-stage interim futility design that allows a third option: pause enrollment and wait for mature follow up. To prevent operational challenge and save time, a stage-one futility analysis is performed without requirement on minimal follow-up. In case the futility bar has not crossed, we pause the study and wait for data to mature to make a final decision at stage-two. This approach mitigates the risk of stopping early for futility when it takes time for the study drug to differentiate from the control. We perform a simulation study to illustrate and compare this proposed design with conventional futility designs.

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