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An adaptive seamless Phase 2-3 design with multiple endpoints.

Man Jin1, Pingye Zhang2

  • 1Data and Statistical Sciences, AbbVie Inc., North Chicago, IL, USA.

Statistical Methods in Medical Research
|February 16, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive seamless Phase 2-3 trial design for expedited drug development. The design efficiently handles multiple endpoints while preserving statistical accuracy, accelerating regulatory approval.

Keywords:
Adaptive seamless designsadaptive decisionfamilywise type I errorintermediate endpointmultiple test procedure

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Area of Science:

  • Clinical trial design
  • Biostatistics
  • Drug development

Background:

  • Expediting drug development is crucial for timely patient access to new therapies.
  • Adaptive seamless Phase 2-3 designs offer a pathway to accelerate clinical trials.
  • Managing multiple endpoints in drug approval processes presents statistical challenges.

Purpose of the Study:

  • To propose an adaptive seamless Phase 2-3 design incorporating multiple endpoints.
  • To enable expansion from an ongoing Phase 2 trial to a Phase 3 trial based on intermediate results.
  • To ensure robust statistical testing of multiple endpoints while controlling Type I error.

Main Methods:

  • Development of an adaptive seamless Phase 2-3 design.
  • Integration of an intermediate endpoint for adaptive decision-making.
  • Application of a powerful multiple test procedure for multiple endpoints.
  • Statistical proof of familywise Type I error control under practical assumptions.

Main Results:

  • The proposed design effectively expands Phase 2 trials into Phase 3.
  • The multiple test procedure maintains statistical power for multiple endpoints.
  • Familywise Type I error is preserved under mild assumptions.
  • Simulations confirm the design's statistical validity and error control.

Conclusions:

  • The adaptive seamless Phase 2-3 design is a viable strategy for efficient drug development.
  • This approach facilitates the testing of multiple endpoints in oncology and other fields.
  • The design offers a statistically sound method for accelerating regulatory approval pathways.