Testing homogeneity of stratum effects in stratified paired binary data

J Biopharm Stat. 2014;24(3):600-7. doi: 10.1080/10543406.2014.888440.

Abstract

For paired binary data, McNemar's test is widely used to test marginal homogeneity or symmetry for a 2 by 2 contingency table. In this article, we extend McNemar's test by considering a series of paired binary data in which the series is defined by a stratification factor. We provide a test for testing homogeneous stratum effects. For illustration, we apply our test to a cancer epidemiology study. Finally, we conduct simulations to show that our test preserves the nominal type I error level and evaluate the power of our test under various scenarios.

Keywords: Bowker’s test; Marginal homogeneity; McNemar’s test; Paired binary data; Stratified test; Stuart–Maxwell test; Symmetry.

MeSH terms

  • Biomarkers / analysis
  • Breast Neoplasms / diagnosis
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / epidemiology
  • Clinical Trials as Topic / statistics & numerical data*
  • Computer Simulation*
  • Female
  • Humans
  • Matched-Pair Analysis*
  • Models, Statistical*
  • Odds Ratio

Substances

  • Biomarkers