Conditional MLE for the proportional hazards model with left-truncated and interval-censored data

被引：4

作者：

Shen, Pao-sheng ^{[1
]}

机构：

[1] Tunghai Univ, Dept Stat, Taichung 40704, Taiwan

来源：

STATISTICS & PROBABILITY LETTERS | 2015年 / 100卷

关键词：

Left truncation; Interval censoring; Likelihood estimator; EFFICIENT ESTIMATION; REGRESSION; INFERENCE;

D O I：

10.1016/j.spl.2015.02.015

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 consider conditional maximum likelihood estimator (cMLE) for the proportional hazards model with left-truncated and interval-censored data. We show that when the covariates are discrete the cMLE is the MLE, and under some regularity conditions the cMLE for the regression parameter is asymptotically normal and efficient. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：164 / 171

页数：8

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