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Kang Fangyuan1; Sun Liuquan2; Cheng Ximing1
Source Publicationjournalofsystemsscienceandcomplexity
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.
Document Type期刊论文
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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