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题名Joint Modelling of Survival and Longitudinal Data with Informative Observation Times
作者
发表日期2018
发表期刊Scandinavian Journal of Statistics
ISSN/eISSN0303-6898
卷号45期号:3页码:571-589
摘要

In this paper, we consider the joint modelling of survival and longitudinal data with informative observation time points. The survival model and the longitudinal model are linked via random effects, for which no distribution assumption is required under our estimation approach. The estimator is shown to be consistent and asymptotically normal. The proposed estimator and its estimated covariance matrix can be easily calculated. Simulation studies and an application to a primary biliary cirrhosis study are also provided. © 2018 Board of the Foundation of the Scandinavian Journal of Statistics

关键词Cox model informative observation times log-normal distribution longitudinal data multistate models
DOI10.1111/sjos.12314
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收录类别SCIE
语种英语English
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000442500900008
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/5054
专题个人在本单位外知识产出
作者单位
1.Department of Mathematical Sciences, University of Essex, Afghanistan
2.School of Mathematics, University of Manchester, United Kingdom
推荐引用方式
GB/T 7714
Dai, Hongsheng,Pan, Jianxin. Joint Modelling of Survival and Longitudinal Data with Informative Observation Times[J]. Scandinavian Journal of Statistics, 2018, 45(3): 571-589.
APA Dai, Hongsheng, & Pan, Jianxin. (2018). Joint Modelling of Survival and Longitudinal Data with Informative Observation Times. Scandinavian Journal of Statistics, 45(3), 571-589.
MLA Dai, Hongsheng,et al."Joint Modelling of Survival and Longitudinal Data with Informative Observation Times". Scandinavian Journal of Statistics 45.3(2018): 571-589.
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