MARGINAL MODELS FOR CORRELATED BINARY RESPONSES WITH MULTIPLE CLASSES AND MULTIPLE LEVELS OF NESTING
MARGINAL MODELS FOR CORRELATED BINARY RESPONSES WITH MULTIPLE CLASSES AND MULTIPLE LEVELS OF NESTING
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DOI：
10.2307/2532359
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发表时间：
1992-09-01
期刊：
影响因子：
1.9
通讯作者：
LIANG, KY
中科院分区：
文献类型：
--
作者：
QAQISH, BF;LIANG, KY
提出了一种相关二进制数据模型。边际概率和比值比允许有一般的回归结构，包括多个类和多层嵌套。通过Liang和Zeger（1986，Biometrika 73，13 - 22）的广义估计方程方法进行估计。它们与条件模型进行了对比，并给出了在两者之间进行选择的建议。遗传流行病学的例子。
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.