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Related Experiment Videos

Tests for equivalence based on odds ratio for matched-pair design.

Jen-Pei Liu1, Hsin-Yi Fan, Mi-Chia Ma

  • 1Division of Biometry, Department of Agronomy, National Taiwan University, Taipei, Taiwan. jpliu@ntu.edu.tw

Journal of Biopharmaceutical Statistics
|November 11, 2005
PubMed
Summary

This study introduces the conditional odds ratio for assessing equivalence in matched-pair designs, applicable to both prospective and retrospective research. A new score test and sample size formula are proposed, demonstrating good performance in simulations.

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Clinical Trials

Background:

  • Current equivalence evaluation methods for matched-pair designs are limited to prospective studies.
  • Difference in proportions and relative risk are not suitable for retrospective research like case-control studies.

Purpose of the Study:

  • To propose the conditional odds ratio for equivalence assessment in matched-pair designs.
  • To enable equivalence evaluation in both prospective and retrospective research.
  • To introduce a score test and sample size formula for hypothesis testing.

Main Methods:

  • Utilizing the conditional odds ratio for equivalence assessment.
  • Employing the asymptotic confidence interval of the conditional odds ratio.
  • Deriving a score test based on the restricted maximum likelihood estimator (RMLE).

Related Experiment Videos

  • Developing a sample size formula.

    • Main Results:

    • Simulation studies confirmed the proposed score test adequately controls Type I error.
    • The score test demonstrated sufficient statistical power in simulations.
    • The conditional odds ratio approach is effective for both prospective and retrospective matched-pair designs.

    Conclusions:

    • The conditional odds ratio provides a unified approach for equivalence assessment in matched-pair studies.
    • The proposed score test and sample size formula are valuable tools for researchers.
    • This method enhances the evaluation of equivalence in diverse research settings.