Analyzing the general biased data by additive risk model

被引：0

作者：

LI YanFeng ^{[1
]}

MA HuiJuan ^{[2
]}

WANG DeHui ^{[1
]}

ZHOU Yong ^{[3
,4
]}

机构：

[1] College of Mathematics, Jilin University

[2] Department of Biostatistics and Bioinformatics, Emory University

[3] School of Statistics and Management, Shanghai University of Finance and Economics

[4] Academy of Mathematics and Systems Science, Chinese Academy of Sciences

来源：

Science China(Mathematics) | 2017年 / 60卷 / 04期

关键词：

additive risk model; unified method; length-biased data; case-cohort design;

D O I：

暂无

中图分类号：

O212 [数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper proposes a unified semiparametric method for the additive risk model under general biased sampling. By using the estimating equation approach, we propose both estimators of the regression parameters and nonparametric function. An advantage is that our approach is still suitable for the lengthbiased data even without the information of the truncation variable. Meanwhile, large sample properties of the proposed estimators are established, including consistency and asymptotic normality. In addition, the finite sample behavior of the proposed methods and the analysis of three groups of real data are given.

引用

页码：685 / 700

页数：16

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