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

Author

Listed:
  • Kellie J. Archer

    (Department of Biostatistics, Virginia Commonwealth University)

  • Stanley Lemeshow

    (School of Public Health, Ohio State University)

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.

Suggested Citation

  • Kellie J. Archer & Stanley Lemeshow, 2006. "Goodness-of-fit test for a logistic regression model fitted using survey sample data," Stata Journal, StataCorp LP, vol. 6(1), pages 97-105, March.
    • Handle: RePEc:tsj:stataj:v:6:y:2006:i:1:p:97-105
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