MARGINAL MODELS FOR CORRELATED BINARY RESPONSES WITH MULTIPLE CLASSES AND MULTIPLE LEVELS OF NESTING

被引：64

作者：

QAQISH, BF ^{[1
]}

LIANG, KY ^{[1
]}

机构：

[1] JOHNS HOPKINS UNIV,DEPT BIOSTAT,615 N WOLFE ST,BALTIMORE,MD 21205

来源：

BIOMETRICS | 1992年 / 48卷 / 03期

关键词：

CORRELATED BINARY DATA; FAMILIAL AGGREGATION; GENERALIZED ESTIMATING EQUATIONS; GENETIC EPIDEMIOLOGY; MULTIPLE CLASSES; NESTING STRUCTURE;

D O I：

10.2307/2532359

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：939 / 950

页数：12

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