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Zhao Mu1; Lin Cunjie2; Zhou Yong3
Source Publicationactamathematicaeapplicataesinicaenglishseries
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.
Document Type期刊论文
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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