2012The Stata Journal Promoting communications on statistics and StataOpen access

A Generalized Hosmer–Lemeshow Goodness-of-Fit Test for Multinomial Logistic Regression Models

Morten Wang Fagerland, David W. Hosmer

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Abstract

Testing goodness of fit is an important step in evaluating a statistical model. For binary logistic regression models, the Hosmer–Lemeshow goodness-of-fit test is often used. For multinomial logistic regression models, however, few tests are available. We present the mlogitgof command, which implements a goodness-of-fit test for multinomial logistic regression models. This test can also be used for binary logistic regression models, where it gives results identical to the Hosmer–Lemeshow test.

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Testing goodness of fit is an important step in evaluating a statistical model. For binary logistic regression models, the Hosmer–Lemeshow goodness-of-fit test is often used. For multinomial logistic regression models, however, few tests are available. We present the mlogitgof command, which implements a goodness-of-fit test for multinomial logistic regression models. This test can also be used for binary logistic regression models, where it gives results identical to the Hosmer–Lemeshow test.

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Available abstract

Testing goodness of fit is an important step in evaluating a statistical model. For binary logistic regression models, the Hosmer–Lemeshow goodness-of-fit test is often used. For multinomial logistic regression models, however, few tests are available. We present the mlogitgof command, which implements a goodness-of-fit test for multinomial logistic regression models. This test can also be used for binary logistic regression models, where it gives results identical to the Hosmer–Lemeshow test.

Key concepts: Multinomial logistic regression, Goodness of fit, Logistic regression, Statistics, Logistic distribution, Factor regression model, Regression diagnostic, Multinomial distribution

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