Qaqish B F, Liang K Y
Department of Biostatistics, University of North Carolina, Chapel Hill 27599-7400.
Biometrics. 1992 Sep;48(3):939-50.
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.
本文提出了一种相关二元数据模型。允许边际概率和优势比具有包含多个类别和多个嵌套层次的一般回归结构。估计通过Liang和Zeger（1986年，《生物统计学》73卷，13 - 22页）的广义估计方程方法进行。将它们与条件模型进行对比，并给出了在两者之间进行选择的建议。还给出了遗传流行病学的实例。
