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Status已发表Published
TitleJoint Modelling of Survival and Longitudinal Data with Informative Observation Times
Creator
Date Issued2018
Source PublicationScandinavian Journal of Statistics
ISSN0303-6898
Volume45Issue: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

KeywordCox model informative observation times log-normal distribution longitudinal data multistate models
DOI10.1111/sjos.12314
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000442500900008
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/5054
CollectionResearch 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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