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timevaryinglatentmodelforlongitudinaldatawithinformativeobservationandterminaleventtimes
Pei Yanbo1; Du Ting2; Sun Liuquan2
2016
Source Publicationsciencechinamathematics
ISSN1674-7283
Volume59Issue:12Pages:2393
AbstractLongitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparametric mixed effect model with time-varying latent effects in the analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/50227
Collection应用数学研究所
Affiliation1.首都经济贸易大学
2.中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Pei Yanbo,Du Ting,Sun Liuquan. timevaryinglatentmodelforlongitudinaldatawithinformativeobservationandterminaleventtimes[J]. sciencechinamathematics,2016,59(12):2393.
APA Pei Yanbo,Du Ting,&Sun Liuquan.(2016).timevaryinglatentmodelforlongitudinaldatawithinformativeobservationandterminaleventtimes.sciencechinamathematics,59(12),2393.
MLA Pei Yanbo,et al."timevaryinglatentmodelforlongitudinaldatawithinformativeobservationandterminaleventtimes".sciencechinamathematics 59.12(2016):2393.
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