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analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel
Zhao Mu1; Lin Cunjie2; Zhou Yong3
2017
Source Publicationactamathematicaeapplicataesinicaenglishseries
ISSN0168-9673
Volume33Issue:4Pages:893
AbstractAbstract Length-biased data are often encountered in observational studies, when the survival times are left-truncated and right-censored and the truncation times follow a uniform distribution. In this article, we propose to analyze such data with the additive hazards model, which specifies that the hazard function is the sum of an arbitrary baseline hazard function and a regression function of covariates. We develop estimating equation approaches to estimate the regression parameters. The resultant estimators are shown to be consistent and asymptotically normal. Some simulation studies and a real data example are used to evaluate the finite sample properties of the proposed estimators.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/39024
Collection应用数学研究所
Affiliation1.中南财经政法大学
2.中国人民大学
3.中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Zhao Mu,Lin Cunjie,Zhou Yong. analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel[J]. actamathematicaeapplicataesinicaenglishseries,2017,33(4):893.
APA Zhao Mu,Lin Cunjie,&Zhou Yong.(2017).analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel.actamathematicaeapplicataesinicaenglishseries,33(4),893.
MLA Zhao Mu,et al."analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel".actamathematicaeapplicataesinicaenglishseries 33.4(2017):893.
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