An introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA / J.C.W. Rayner and G. C Livingston Jr

Von:

Rayner, John C. W [VerfasserIn]

Mitwirkende(r):

Livingston, Glen C [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Chichester, West Sussex : John Wiley & Sons, Ltd, 2023Copyright-Datum: ©2023Beschreibung: 1 Online-Ressource (xv, 224 pages) : illustrationsISBN:

9781119832003
1119832004
9781119831990
1119831997
9781119832027
1119832020

Schlagwörter:

Nonparametric statistics

Andere physische Formen: 9781119831983. | Erscheint auch als: Introduction to Cochran-Mantel-Haenszel testing and nonparametric ANOVA. Druck-Ausgabe Chichester, West Sussex, UK : Wiley, 2023DDC-Klassifikation:

519.5 23/eng20230317

LOC-Klassifikation:

QA278.8

Online-Ressourcen:

Zugang im Netz des KIT

Inhalte:

Zusammenfassung: "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."--PPN: PPN: 1882634381Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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