Status | 已发表Published |
Title | Joint Modelling of Survival and Longitudinal Data with Informative Observation Times |
Creator | |
Date Issued | 2018 |
Source Publication | Scandinavian Journal of Statistics
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ISSN | 0303-6898 |
Volume | 45Issue:3Pages:571-589 |
Abstract | 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 |
Keyword | Cox model informative observation times log-normal distribution longitudinal data multistate models |
DOI | 10.1111/sjos.12314 |
URL | View source |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:000442500900008 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/5054 |
Collection | Research outside affiliated institution |
Affiliation | 1.Department of Mathematical Sciences, University of Essex, Afghanistan 2.School of Mathematics, University of Manchester, United Kingdom |
Recommended Citation 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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