Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
提出一种矩方法，利用全局优势比作为关联度量，对双变量有序分类数据进行回归分析，允许协变量影响响应间的关联，并应用于糖尿病视网膜病变研究。
Abstract A moment method is proposed for regression analysis of bivariate ordered categorical data using the global odds ratio as the measure of association. For modeling the margins, this method utilizes the stochastic ordering implicit in the data. This method allows for covariate effects in modeling the association between responses. An application of the proposed model is illustrated using the ophthalmological data from the Wisconsin Epidemiologic Study of Diabetic Retinopathy for identifying risk factors among younger onset diabetics. This model is also extended to a longitudinal data setting with more than two repeated measures.