Conditional logistic regression models for correlated binary data

Margaret A. Connolly; Kung Yee Liang

doi:10.1093/biomet/75.3.501

Conditional logistic regression models for correlated binary data

Margaret A. Connolly, Kung Yee Liang

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

86 Scopus citations

Abstract

A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the joint distribution and pairwise odds ratio are investigated. A class of easily computed estimating functions is introduced which is shown to have high efficiency compared to the computationally intensive maximum likelihood approach. An example on chronic obstructive pulmonary disease among sibs is presented for illustration.

Original language	English (US)
Pages (from-to)	501-506
Number of pages	6
Journal	Biometrika
Volume	75
Issue number	3
DOIs	https://doi.org/10.1093/biomet/75.3.501
State	Published - Sep 1988
Externally published	Yes

Keywords

Asymptotic
Clustered binary data
Conditional logistic regression
Efficiency
Estimating function

ASJC Scopus subject areas

Statistics and Probability
General Mathematics
Agricultural and Biological Sciences (miscellaneous)
General Agricultural and Biological Sciences
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1093/biomet/75.3.501

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AU - Liang, Kung Yee

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AB - A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the joint distribution and pairwise odds ratio are investigated. A class of easily computed estimating functions is introduced which is shown to have high efficiency compared to the computationally intensive maximum likelihood approach. An example on chronic obstructive pulmonary disease among sibs is presented for illustration.

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KW - Clustered binary data

KW - Conditional logistic regression

KW - Efficiency

KW - Estimating function

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Conditional logistic regression models for correlated binary data

Abstract

Keywords

ASJC Scopus subject areas

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