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Updated: May 1, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Testing homogeneity of stratum effects in stratified paired binary data
Yan D Zhao1, Dewi Rahardja, De-Hui Wang
1a Department of Biostatistics and Epidemiology , University of Oklahoma Health Sciences Center , Oklahoma City , Oklahoma , USA.
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.
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