analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel

CSpace > 应用数学研究所

	analyzingrightcensoredlengthbiaseddatawithadditivehazardsmodel
	Zhao Mu 1; Lin Cunjie 2; Zhou Yong3
	2017
发表期刊	actamathematicaeapplicataesinicaenglishseries
ISSN	0168-9673
卷号	33 期号:4 页码:893
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
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/39024
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.