Analysis of left-truncated right-censored or doubly censored data with linear transformation models

被引：2

作者：

Shen, Pao-sheng ^{[1
]}

机构：

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

来源：

TEST | 2012年 / 21卷 / 03期

关键词：

Left-truncation; Left-censoring; Semiparametric transformation model; MAXIMUM-LIKELIHOOD ESTIMATORS; SELF-CONSISTENT ESTIMATORS; NONPARAMETRIC-ESTIMATION; REGRESSION-MODELS; SURVIVAL FUNCTION;

D O I：

10.1007/s11749-011-0263-1

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 analyze left-truncated right-censored (LTRC) data or doubly censored data using semiparametric transformation models. It is demonstrated that the extended estimating equations of both Cheng et al. (Biometrika 82:835-845, 1995) and Chen et al. (Biometrika 89:659-668, 2002) can be used to analyze LTRC data or doubly censored data when left-censored variables are always observed. The asymptotic properties of the proposed estimators are derived. A simulation study is conducted to investigate the performance of the proposed estimators.

引用

页码：584 / 603

页数：20

共 32 条

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