Joint Models of Longitudinal Outcomes and Informative Time
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May 1, 2019
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JangDong Seo
Indiana University, Bloomington
Abstract
Longitudinal data analyses commonly assume that time intervals are predetermined and have no information regarding the outcomes. However, there might be irregular time intervals and informative time. Presented are joint models and asymptotic behaviors of the parameter estimates. Also, the models are applied for real data sets.
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