Marginal models for correlated binary responses with multiple classes and multiple levels of nesting

B. F. Qaqish; K. Y. Liang

doi:10.2307/2532359

Marginal models for correlated binary responses with multiple classes and multiple levels of nesting

B. F. Qaqish, K. Y. Liang

Bloomberg School of Public Health

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

68 Scopus citations

Abstract

A model for correlated binary data is presented. Marginal probabilities and odds ratios are allowed to have general regression structures that include multiple classes and multiple levels of nesting. Estimation is done through the generalized estimating equations approach of Liang and Zeger (1986, Biometrika 73, 13-22). They are contrasted with conditional models and recommendations for choosing between the two are given. Examples from genetic epidemiology are presented.

Original language	English (US)
Pages (from-to)	939-950
Number of pages	12
Journal	Biometrics
Volume	48
Issue number	3
DOIs	https://doi.org/10.2307/2532359
State	Published - Jan 1 1992

ASJC Scopus subject areas

Statistics and Probability
General Biochemistry, Genetics and Molecular Biology
General Immunology and Microbiology
General Agricultural and Biological Sciences
Applied Mathematics

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Marginal models for correlated binary responses with multiple classes and multiple levels of nesting

Abstract

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