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anadditivehazardsmodelforclusteredrecurrentgaptimes
Kang Fangyuan1; Sun Liuquan2; Cheng Ximing1
2018
Source Publicationjournalofsystemsscienceandcomplexity
ISSN1009-6124
Volume031Issue:005Pages:1377
AbstractIn this article, clustered recurrent gap time is investigated. A marginal additive haz- ards model is proposed without specifying the association of the individuals within the same cluster. The relationship among the gap times for the same individual is also left unspecified. An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic proper- ties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/43317
Collection应用数学研究所
Affiliation1.北京信息科技大学
2.中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Kang Fangyuan,Sun Liuquan,Cheng Ximing. anadditivehazardsmodelforclusteredrecurrentgaptimes[J]. journalofsystemsscienceandcomplexity,2018,031(005):1377.
APA Kang Fangyuan,Sun Liuquan,&Cheng Ximing.(2018).anadditivehazardsmodelforclusteredrecurrentgaptimes.journalofsystemsscienceandcomplexity,031(005),1377.
MLA Kang Fangyuan,et al."anadditivehazardsmodelforclusteredrecurrentgaptimes".journalofsystemsscienceandcomplexity 031.005(2018):1377.
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