Assessing the fit of the logistic regression model to individual matched sets of case-control data

Edward J. Bedrick; Joe R. Hill

doi:10.2307/2533139

Assessing the fit of the logistic regression model to individual matched sets of case-control data

Edward J. Bedrick, Joe R. Hill

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

We develop exact conditional methods for checking the fit of a logistic regression model to individual matched sets in case-control studies. Justifications are given for preferring this approach to conventional maximum likelihood-based methods. Data from two studies are used to illustrate the techniques.

Original language	English (US)
Pages (from-to)	1-9
Number of pages	9
Journal	Biometrics
Volume	52
Issue number	1
DOIs	https://doi.org/10.2307/2533139
State	Published - Mar 1996
Externally published	Yes

Keywords

Conditional inference
Logistic regression
Model checking
Outliers

ASJC Scopus subject areas

Statistics and Probability
Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Agricultural and Biological Sciences(all)
Applied Mathematics

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10.2307/2533139

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title = "Assessing the fit of the logistic regression model to individual matched sets of case-control data",

abstract = "We develop exact conditional methods for checking the fit of a logistic regression model to individual matched sets in case-control studies. Justifications are given for preferring this approach to conventional maximum likelihood-based methods. Data from two studies are used to illustrate the techniques.",

keywords = "Conditional inference, Logistic regression, Model checking, Outliers",

author = "Bedrick, {Edward J.} and Hill, {Joe R.}",

year = "1996",

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KW - Conditional inference

KW - Logistic regression

KW - Model checking

KW - Outliers

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Assessing the fit of the logistic regression model to individual matched sets of case-control data

Abstract

Keywords

ASJC Scopus subject areas

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