Summary goodness-of-fit statistics for binary generalized linear models with noncanonical link functions

DOI10.1002/bimj.201400079zbMath1386.62021OpenAlexW2174890239WikidataQ39135009 ScholiaQ39135009MaRDI QIDQ2806855

Ronald Paul Barry, Leigh Blizzard, Jana D. Canary, Stephen Quinn, David W. jun. Hosmer

Publication date: 19 May 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201400079

zbMATH Keywords

goodness-of-fitHosmer-Lemeshownoncanonical generalized linear modelsPigeon-HeyseTsiatis

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Generalized linear models (logistic models) (62J12)

Cites Work

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• Applied Logistic Regression
• A cautionary note about assessing the fit of logistic regression models
• A comparison of the Hosmer–Lemeshow, Pigeon–Heyse, and Tsiatis goodness-of-fit tests for binary logistic regression under two grouping methods

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