An introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA / J.C.W. Rayner and G. C Livingston Jr.
By: Rayner, John C. W [author.]
Contributor(s): Livingston, Glen C [author.]
Language: English Publisher: Chichester, West Sussex : John Wiley & Sons, Ltd, 2023Copyright date: ©2023Description: 1 online resource (xv, 224 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781119831983 ; 9781119832003; 1119832004; 9781119831990; 1119831997; 9781119832027; 1119832020Subject(s): Nonparametric statisticsGenre/Form: Electronic books.DDC classification: 519.5 LOC classification: QA278.8 | .R393 2023Online resources: Full text is available at Wiley Online Library Click here to view Summary: "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.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY | 519.5 R2186 2023 (Browse shelf) | Available |
Includes bibliographical references and indexes.
"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.
About the Author
John Charles William Rayner is an Honorary Professorial Fellow, National Institute for Applied Statistics Research Australia, University of Wollongong, and Conjoint Professor of Statistics, School of Mathematical and Physical Sciences, University of Newcastle, Australia.
Glen Livingston, Jr., is a Lecturer, School of Mathematical and Physical Sciences, University of Newcastle, Australia.
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