Goodness-of-fit test for a logistic regression model fitted using survey sample data

Kellie J. Archer () and Stanley Lemeshow
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Kellie J. Archer: Department of Biostatistics, Virginia Commonwealth University
Stanley Lemeshow: School of Public Health, Ohio State University

Stata Journal, 2006, vol. 6, issue 1, pages 97-105

Abstract: After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer-Lemeshow test, which is available in Stata and most other statistical software programs. However, it is often of interest to fit a logistic regression model to sample survey data, such as data from the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodness-of-fit testing procedures have been developed or implemented in available software. To address this problem, a Stata ado-command, svylogitgof, for estimating the F -adjusted mean residual test after svy: logit or svy: logistic estimation has been developed, and this paper describes its implementation. Copyright 2006 by StataCorp LP.

Keywords: svylogitgof; goodness of fit; survey design; svy; logistic regression; logit (search for similar items in EconPapers)
Date: 2006
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