Analyzing longitudinal data with informative observation and terminal event times

Content Provider	Semantic Scholar
Author	Miao, Rui Chen, Xin Sun, Liuquan
Copyright Year	2016
Abstract	Longitudinal data often arise when subjects are followed over a period of time, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. In this article, we propose joint modeling and analysis of longitudinal data with possibly informative observation times and a dependent terminal event in which a common subject-specific latent variable is used to characterize the correlations. A borrow-strength estimation procedure is developed for parameter estimation, and both large-sample and finite-sample properties of the proposed estimators are established. In addition, some goodness-of-fit methods for assessing the adequacy of the model are provided. An application to a bladder cancer study is illustrated.
Starting Page	1035
Ending Page	1052
Page Count	18
File Format	PDF HTM / HTML
DOI	10.1007/s10255-016-0624-3
Volume Number	32
Alternate Webpage(s)	http://2013.isiproceedings.org/Files/IPS097-P2-A.pdf
Alternate Webpage(s)	https://doi.org/10.1007/s10255-016-0624-3
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article