Cochran–Mantel–Haenszel statistics
Test used in the analysis of stratified or matched categorical data / From Wikipedia, the free encyclopedia
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In statistics, the Cochran–Mantel–Haenszel test (CMH) is a test used in the analysis of stratified or matched categorical data. It allows an investigator to test the association between a binary predictor or treatment and a binary outcome such as case or control status while taking into account the stratification.[1] Unlike the McNemar test, which can only handle pairs, the CMH test handles arbitrary strata sizes. It is named after William G. Cochran, Nathan Mantel and William Haenszel.[2][3] Extensions of this test to a categorical response and/or to several groups are commonly called Cochran–Mantel–Haenszel statistics.[4] It is often used in observational studies in which random assignment of subjects to different treatments cannot be controlled but confounding covariates can be measured.