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Recent Extensions to the Cochran–Mantel–Haenszel Tests
2018
Stats
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The Cochran–Mantel–Haenszel (CMH) methodology is a suite of tests applicable to particular tables of count data. The inference is conditional on the treatment and outcome totals on each stratum being known before sighting the data. The CMH tests are important for analysing randomised blocks data when the responses are categorical rather than continuous. This overview of some recent extensions to CMH testing first describes the traditional CMH tests and then explores new alternative
doi:10.3390/stats1010008
fatcat:he2cjfz2qrajnit66mh4ll6idy