Marginal Models for Correlated Binary Responses with Multiple Classes and Multiple Levels of Nesting

1 September 1992

journal article
Published by JSTOR in Biometrics

Vol. 48 (3) , 939-50
https://doi.org/10.2307/2532359

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.

Keywords

EPIDEMIOLOGY
MODELS
STRUCTURES
RECOMMENDATIONS
CHOOSING
CORRELATED BINARY
BIOMETRIKA
LIANG
ZEGER

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