Multiple Comparisons Procedures for Analyses of Joint Primary Endpoints and Secondary Endpoints

Xiaolong Luo1, Lerong Li1, Oleksandr Savenkov1

  • 1Biometrics, Sarepta Therapeutics, Cambridge, Massachusetts, USA.

PubMed

Insights

Developing drugs for rare diseases is challenging. This study introduces a two-stage gatekeeping framework to manage multiple endpoints, improving sample size determination and regulatory success for Joint Primary Endpoints (JPEs).

Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Drug Development

Background:

  • Selecting primary endpoints for rare disease drug development is complex due to varying sensitivity and sample size constraints.
  • Supporting regulatory claims for multiple endpoints and doses introduces multiplicity issues, further complicating study design.

Purpose of the Study:

  • To introduce a robust two-stage gatekeeping framework for testing hierarchically ordered hypotheses in rare disease drug development.
  • To address challenges in managing multiplicity and sample size when using Joint Primary Endpoints (JPEs) for regulatory claims.

Main Methods:

  • A novel truncated closed testing procedure is employed in the first stage for flexible primary endpoint evaluation.
  • A two-stage framework controls the global family-wise Type I error rate, propagating a fraction of the error rate to the second stage for secondary endpoints.

Main Results:

  • The proposed framework demonstrates efficiency and adaptability in evaluating multiple endpoints and dose regimens.
  • Numerical simulations and real-world applications confirm the approach's practical utility in rare disease drug development.

Conclusions:

  • The two-stage gatekeeping framework effectively manages multiplicity and sample size issues in rare disease drug development.
  • This approach facilitates meeting stringent regulatory requirements for drug approval, particularly with Joint Primary Endpoints (JPEs).

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