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semiparametricanalysisoflongitudinaldatawithinformativeobservationtimes
Sun Liuquan1; Mu Xiaoyun1; Sun Zhihua1; Tong Xingwei2
2011
Source Publicationactamathematicaeapplicataesinica
ISSN0168-9673
Volume027Issue:001Pages:29
AbstractIn many longitudinal studies, observation times as well as censoring times may be correlated with longitudinal responses. This paper considers a multiplicative random effects model for the longitudinal response where these correlations may exist and a joint modeling approach is proposed via a shared latent variable. For inference about regression parameters, estimating equation approaches are developed and asymptotic properties of the proposed estimators are established. The finite sample behavior of the methods is examined through simulation studies and an application to a data set from a bladder cancer study is provided for illustration.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/46147
Collection应用数学研究所
Affiliation1.中国科学院数学与系统科学研究院
2.北京师范大学
Recommended Citation
GB/T 7714
Sun Liuquan,Mu Xiaoyun,Sun Zhihua,et al. semiparametricanalysisoflongitudinaldatawithinformativeobservationtimes[J]. actamathematicaeapplicataesinica,2011,027(001):29.
APA Sun Liuquan,Mu Xiaoyun,Sun Zhihua,&Tong Xingwei.(2011).semiparametricanalysisoflongitudinaldatawithinformativeobservationtimes.actamathematicaeapplicataesinica,027(001),29.
MLA Sun Liuquan,et al."semiparametricanalysisoflongitudinaldatawithinformativeobservationtimes".actamathematicaeapplicataesinica 027.001(2011):29.
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