Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design

DOI10.1016/j.csda.2006.07.006zbMath1162.62429OpenAlexW1999946795MaRDI QIDQ1020108

David W. jun. Hosmer, Kellie J. Archer, Stanley Lemeshow

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.07.006

zbMATH Keywords

logistic regressiongoodness-of-fitsurvey samplingdesign-based estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05) Testing in survival analysis and censored data (62N03)

Related Items

Testing linear hypotheses in logistic regression analysis with complex sample survey data based on phi-divergence measures, How to construct a nomogram for hypertension using complex sampling data from Korean adults, The development of a goodness-of-fit test for high level binary multilevel models, A comparison of Bayesian Markov chain Monte Carlo methods in a multilevel scenario, A Goodness of Fit Test for the Multilevel Logistic Model, svylogitgof, Weighting in the regression analysis of survey data with a cross-national application

Uses Software

• Stata

Cites Work

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• A Goodness-of-Fit Test for Binary Regression Models, Based on Smoothing Methods
• Testing the Fit of a Regression Model Via Score Tests in Random Effects Models
• A cautionary note about assessing the fit of logistic regression models