Goodness-of-fit Test for a Logistic Regression Model Fitted using Survey Sample Data

Stata Journal - Tập 6 Số 1 - Trang 97-105 - 2006
Kellie J. Archer1, Stanley Lemeshow2
1Department of Biostatistics, Virginia Commonwealth University, Richmond, VA
2School of Public Health, Ohio State University, Columbus, OH

Tóm tắt

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.

Từ khóa


Tài liệu tham khảo

Archer K. J., 2001, Goodness-of-fit tests for logisitic regression models developed using data collected from a complex sampling design.

Graubard B. I., 1997, Proceedings of the Section on Survey Research Methods, Joint Statistical Meetings, 170

10.1080/03610928008827941

10.1002/0471722146

National Center for Health Statistics., 1999, National Health Interview Survey: Research for the 1995–2004 redesign.

Skinner C. J., 1989, Analysis of Complex Surveys.

10.1080/01621459.1987.10478476