中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel

文献类型:期刊论文

作者Zhao Mu1; Lin Cunjie2; Zhou Yong3
刊名actamathematicaeapplicataesinicaenglishseries
出版日期2017
卷号33期号:4页码:893
ISSN号0168-9673
英文摘要Abstract 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.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/39023]  
专题应用数学研究所
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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