A Goodness‐of‐Fit Test for Multinomial Logistic Regression

DOI10.1111/j.1541-0420.2006.00581.xzbMath1116.62051OpenAlexW2093801573WikidataQ57788797 ScholiaQ57788797MaRDI QIDQ5295351

Saskia le Cessie, Jelle J. Goeman

Publication date: 27 July 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00581.x

zbMATH Keywords

smoothingrandom effects modeldiscrete choice modelpolytomous logistic regressionliver enzyme data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (6)

Inference on finite population categorical response: nonparametric regression-based predictive approach ⋮ Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey ⋮ Surrogate Residuals for Discrete Choice Models ⋮ Investigating the power of goodness-of-fit tests for multinomial logistic regression ⋮ A powerful global test for spliceQTL effects ⋮ A regression perspective on generalized distance covariance and the Hilbert-Schmidt independence criterion

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• A Goodness-of-Fit Test for Binary Regression Models, Based on Smoothing Methods
• Testing the Fit of a Regression Model Via Score Tests in Random Effects Models

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