Additive Transformation Models for Clustered Doubly Censored Data

被引：0

作者：

Shen, Pao-Sheng ^{[1
]}

机构：

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

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2015年 / 44卷 / 08期

关键词：

Additive model; Estimating equation; Left censoring; Primary; 62N01; Secondary; 62N02; FAILURE TIME DATA; SEMIPARAMETRIC REGRESSION-ANALYSIS; MAXIMUM-LIKELIHOOD-ESTIMATION; RISK MODEL; ASYMPTOTIC THEORY; FRAILTY MODEL; HAZARDS;

D O I：

10.1080/03610918.2013.835405

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：

In this article, we propose estimating procedures for additive semiparametric transformation models with clustered doubly-censored data. A simulation study is conducted to investigate the performance of the proposed estimators. We apply the proposed methods to the dataset from the well-known Diabetic Retinopathy Study.

引用

页码：1988 / 2002

页数：15

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