Title: Modeling the correlation between binary longitudinal data
Abstract: Binary outcomes which are observed repeatedly over time may be dependent not only on the covariates but also on each other. The repeated outcomes represent correlated binary longitudinal data and the modeling of such data was initiated by Liang and Zeger (1986) through the use of generalized estimating equations (GEE). Specification of the association structure among the outcomes remains a challenge associated with the GEE approach. This paper compares the GEE approach that uses correlation to the alternating logistic regression (ALR) approach that uses odds ratio, to model the association among outcomes.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
Indexed In: ['crossref']
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