Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design

In longitudinal studies, matched designs are often employed to control the potential confounding effects in the field of biomedical research and public health. Because of clinical interest, recurrent time‐to‐event data are captured during the follow‐up. Meanwhile, the terminal event of death is alwa...

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Bibliographic Details
Published in:	Statistics in medicine Vol. 37; no. 18; pp. 2771 - 2786
Main Authors:	Xu, Cong, Chinchilli, Vernon M., Wang, Ming
Format:	Journal Article
Language:	English
Published:	England Wiley Subscription Services, Inc 15.08.2018
Subjects:	Algorithms Bayesian analysis Biometry - methods Computer Simulation Death frailty models Humans joint modeling Likelihood Functions Longitudinal Studies Monte Carlo expectation‐maximization algorithm Monte Carlo Method Parameter estimation recurrent events Regression Analysis zero inflation joint modeling recurrent events death Monte Carlo expectation-maximization algorithm frailty models zero inflation
ISSN:	0277-6715, 1097-0258, 1097-0258
Online Access:	Get full text
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