Testing homogeneity of stratum effects in stratified paired binary data.
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.
a Department of Biostatistics and Epidemiology , University of Oklahoma Health Sciences Center , Oklahoma City , Oklahoma , USA.
Yan D
YD
Zhao
Dewi
D
Rahardja
De-Hui
DH
Wang
Haili
H
Shen
D015415:Biomarkers / Q000032:analysis; D001943:Breast Neoplasms / Q000175:diagnosis / Q000188:drug therapy / Q000453:epidemiology; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D016555:Matched-Pair Analysis; D015233:Models, Statistical; D016017:Odds Ratio
D015415:Biomarkers
Bowker’s test; Marginal homogeneity; McNemar’s test; Paired binary data; Stratified test; Stuart–Maxwell test; Symmetry