Cover image for An introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA
Title:
An introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA
Author:
Rayner, John C. W., author.
ISBN:
9781119832003

9781119831990

9781119832027
Physical Description:
1 online resource (xv, 224 pages) : illustrations
Contents:
The Basic CMH Tests -- The Completely Randomised Design -- The Randomised Block Design -- The Balanced Incomplete Block Design -- Unconditional Analogues of CMH Tests -- Higher Moment Extensions to the Ordinal CMH Tests -- Unordered Nonparametric ANOVA -- The Latin Square Design -- Ordered Non-parametric ANOVA -- Conclusion -- Appendix -- Subjext Index -- References Index -- Data Index.
Abstract:
"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. It is often used in observational studies where random assignment of subjects to different treatments cannot be controlled, but confounding covariates can be measured. The extensions to the Cochran--Mantel--Haenszel (CMH) tests and the nonparametric analysis of variance (NP ANOVA) methodology provide powerful new statistical tests that enable deeper data analysis."-- Provided by publisher.
Local Note:
John Wiley and Sons
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E-Book 598254-1001 QA278.8 .R393 2023
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