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Monitoring a clinical trial with multiple hypotheses concerning the treatment effect on a single primary endpoint

J S Denne1, G G Koch

  • 1Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, USA.

Statistics in Medicine
|September 25, 2001
PubMed

Insights

This study introduces a sequential testing framework for clinical trials evaluating multiple hypotheses on a primary endpoint. It uses the closed testing method to control significance levels during interim analyses, enhancing trial efficiency.

Area of Science:

  • Clinical trial methodology
  • Statistical inference in medicine

Background:

  • Clinical trials often assess multiple hypotheses regarding treatment effects on a single primary endpoint.
  • Demonstrating both non-inferiority and superiority of a test treatment (T) over an active control (R) is a common scenario.

Purpose of the Study:

  • To provide a framework for sequentially testing multiple hypotheses in clinical trials.
  • To utilize pre-planned interim analyses for hypothesis testing.
  • To control the overall multiple level of significance.

Main Methods:

  • Application of the closed testing method.
  • Sequential testing of hypotheses at interim analyses.
  • Focus on controlling the multiple level of significance.

Main Results:

  • A framework is provided for sequential hypothesis testing in clinical trials.
  • The method controls the overall significance level when multiple hypotheses are tested.
  • Facilitates testing of non-inferiority and superiority within a single trial structure.

Conclusions:

  • The proposed framework enables efficient sequential testing of multiple hypotheses in clinical trials.
  • This approach allows for early decision-making at interim analyses while maintaining statistical rigor.
  • It addresses the common need to evaluate both non-inferiority and superiority of treatments.

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