Goodness-of-fit Test for a Logistic Regression Model Fitted using Survey Sample Data
- 1 January 2006
- journal article
- research article
- Published by SAGE Publications in The Stata Journal: Promoting communications on statistics and Stata
- Vol. 6 (1), 97-105
- https://doi.org/10.1177/1536867x0600600106
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.Keywords
This publication has 3 references indexed in Scilit:
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- Goodness of fit tests for the multiple logistic regression modelCommunications in Statistics - Theory and Methods, 1980