Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
作者:
JohnM. Williamson,
Kyungmann Kim,
StuartR. Lipsitz,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1995)
卷期:
Volume 90,
issue 432
页码: 1432-1437
ISSN:0162-1459
年代: 1995
DOI:10.1080/01621459.1995.10476649
出版商: Taylor & Francis Group
关键词: Contingency table;Generalized estimating equations;Marginal model;Ophthalmology;Repeated measures
数据来源: Taylor
摘要:
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.
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