THE ANALYSIS OF BINARY LONGITUDINAL DATA WITH TIME-INDEPENDENT COVARIATES
成果类型：
Article
署名作者：
ZEGER, SL; LIANG, KY; SELF, SG
署名单位：
Johns Hopkins University
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336332
发表日期：
1985
页码：
3138
关键词：
摘要：
Extensions of logistic regression to the case where the binary outcome variable is observed repeatedly for each subject are described. Two working models are proposed that lead to consistent estimates of the regression parameters and of their variances under mild assumptions about the time dependence within each subject''s data. The efficiency of the proposed estimators is examined. An analysis of stress in mothers with infants is presented to illustrate the proposed method.
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