Robust inference for the proportional hazards model with two-phase cohort sampling data

被引：2

作者：

Lin, Chanjuan ^{[1
]}

Zheng, Ming ^{[1
]}

Yu, Wen ^{[1
]}

Wu, Mingzhe ^{[1
]}

机构：

[1] Fudan Univ, Sch Management, Dept Stat, Shanghai, Peoples R China

来源：

STATISTICS & PROBABILITY LETTERS | 2019年 / 153卷

基金：

中国国家自然科学基金;

关键词：

Case-cohort sampling; Cohort study; Inverse probability weighting; Misspecified Cox proportional hazards model; EFFICIENT ESTIMATION; DISEASE;

D O I：

10.1016/j.spl.2019.05.014

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We develop a robust inference procedure for misspecified Cox proportional hazards model under several two-phase cohort sampling designs. The asymptotic properties of the proposed approach are derived. Numerical studies are conducted to illustrate the finite sample performance. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：98 / 103

页数：6

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