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asemiparametricadditiveratesmodelforclusteredrecurrenteventdata
He Sui1; Wang Fen1; Sun Liuquan2
2013
Source Publicationactamathematicaeapplicataesinica
ISSN0168-9673
Volume29Issue:1Pages:55
AbstractRecurrent event data often arises in biomedical studies, and individuals within a cluster might not be independent. We propose a semiparametric additive rates model for clustered recurrent event data, wherein the covariates are assumed to add to the unspecified baseline rate. For the inference on the model parameters, estimating equation approaches are developed, and both large and finite sample properties of the proposed estimators are established.
Language英语
Funding Project[Chinese Ministry of Science and Technology] ; [Central China Normal University for Ph.D students] ; [National Natural Science Foundation of China] ; [National Basic Research Program of China (973 Program)] ; [Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics & Systems Science, Chinese Academy of Sciences]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/46188
Collection应用数学研究所
Affiliation1.华中师范大学
2.中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
He Sui,Wang Fen,Sun Liuquan. asemiparametricadditiveratesmodelforclusteredrecurrenteventdata[J]. actamathematicaeapplicataesinica,2013,29(1):55.
APA He Sui,Wang Fen,&Sun Liuquan.(2013).asemiparametricadditiveratesmodelforclusteredrecurrenteventdata.actamathematicaeapplicataesinica,29(1),55.
MLA He Sui,et al."asemiparametricadditiveratesmodelforclusteredrecurrenteventdata".actamathematicaeapplicataesinica 29.1(2013):55.
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