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Group Sequential Test for Two-Sample Ordinal Outcome Measures.

Yuan Wu1, Ryan A Simmons2, Baoshan Zhang1

  • 1Department of Biostatistics and Bioinformatics, Duke University, Durham NC, USA.

Statistics in Medicine
|March 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new group sequential trial design for ordinal data using the Mann-Whitney-Wilcoxon test. This method enhances early decision-making in clinical trials, improving efficiency and patient safety.

Keywords:
Mann‐Whitney‐Wilcoxon testU‐statisticmonitoring timesprojection

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Area of Science:

  • Biostatistics
  • Clinical Trial Design
  • Statistical Methods

Background:

  • Group sequential trials allow early efficacy or futility decisions.
  • Existing methods are established for continuous, binary, and time-to-event data.
  • Ordinal data analysis in sequential trials requires novel approaches.

Purpose of the Study:

  • To propose a novel group sequential design for two-sample ordinal data.
  • To utilize the Mann-Whitney-Wilcoxon test within a sequential framework.
  • To provide a robust method for early clinical trial decision-making with ordinal outcomes.

Main Methods:

  • Development of a group sequential design based on the Mann-Whitney-Wilcoxon test.
  • Establishment of asymptotic normality for the test statistic.
  • Verification of sequential statistics' adherence to Brownian motion assumptions.
  • Finite sample simulation studies.

Main Results:

  • The proposed test statistic demonstrates asymptotic normality.
  • Sequential statistics align with Brownian motion assumptions.
  • Simulations show superior Type I error control and maintained power compared to existing methods, especially for small sample sizes.

Conclusions:

  • The proposed group sequential design is effective for ordinal data.
  • This method offers advantages in Type I error control and power for clinical trials.
  • The approach facilitates efficient trial design and early decision-making.