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Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data

  • SUNY Buffalo
  • Southern University of Science and Technology

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Homogeneity is a nonnegligible condition in the statistical analysis of the stratified bilateral data. The correlation between responses from two paired body parts should be taken into account to avoid biased or misleading results. In this article, we derive four test statistics (i.e., likelihood ratio statistic TL, Wald-type statistic TW, and score statistics TaSC and TbSC) for testing common ratios of two proportions across strata under the assumption of equal correlation coefficient within each stratum. Monte Carlo simulations show that the score test (TbSC) generally produces robust Type I error and satisfactory power. Two real examples are used to demonstrate the performance of the four proposed tests. Supplementary materials for this article are available online.

Original languageEnglish
Pages (from-to)200-209
Number of pages10
JournalStatistics in Biopharmaceutical Research
Volume11
Issue number3
DOIs
StatePublished - Jul 3 2019

Keywords

  • Equal correlation coefficients model
  • Likelihood ratio test
  • Score test
  • Stratified bilateral data
  • Wald-type test

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