文章基本信息

标题：ANALYSIS OF LONGITUDINAL ORDERED POLYTOMOUS DATA USING GENERALIZED ESTIMATING EQUATIONS
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作者：Eiji Nakashima
期刊名称：JOURNAL OF THE JAPAN STATISTICAL SOCIETY
印刷版ISSN：1882-2754
电子版ISSN：1348-6365
出版年度：2000
卷号：30
期号：1
页码：1-15
DOI：10.14490/jjss1995.30.1
出版社：JAPAN STATISTICAL SOCIETY
摘要：A model for the analysis of repeated ordered polytomous data using the generalized estimating equations(GEE)method is presented. Our model is a direct extension of McCullagh's model(1980)for longitudinal data. For independence estimating equations, this model is equivalent to the models proposed by Miller et al.(1993)and Lipsitz et al.(1994). When one extends this model to allow for correlated observation, our model is not equivalent to theirs. Furthermore, our model can estimate the correlations using a simpler working covariance matrix in the second set of estimating equations than that of Miller et al., and it allows for the use of the AR(1)correlation structure, which is not possible using either of the others. Two examples of the analyses of longitudinal ordered polytomous data are given, one for judgmental ordinal data and the other for grouped continuous ordinal data. Among several working correlation models, a relatively simple working correlation structure suffices for each data set.
关键词：GEE;ordinal polytomous data;repeated measurement;longitudinal data