Goodness-of-fit test for a logistic regression model fitted using survey sample data
Kellie J. Archer
Department of Biostatistics
Virginia Commonwealth University
Richmond, VA
[email protected]
|
Stanley Lemeshow
School of Public Health
Ohio State University
Columbus, OH
|
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.
View all articles by these authors:
Kellie J. Archer, Stanley Lemeshow
View all articles with these keywords:
svylogitgof, goodness of fit, survey design, svy, logistic regression, logit
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
