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Goodness‐of‐Fit Tests for the Logistic Regression Model for Matched Case‐Control Studies
Author(s) -
Hosmer David W.,
Lemeshow Stanley
Publication year - 1985
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710270506
Subject(s) - statistics , logistic regression , nonparametric statistics , goodness of fit , econometrics , parametric statistics , mathematics , regression analysis
A number of statistics have recently been proposed to asssess the fit of the multiple logistic regression model in both prospective and retrospective studies involving two independent samples as well as in cross sectional studies. These statistics are not appropriate for assessing fit with matched case‐control studies. This paper presents methods for assessing fit for matched case‐control studies. Both parametric and nonparametric approaches are suggested even though none are directly analogous to the statistics proposed in the unmatched situation. Several examples are included to illustrate the methods.