ON USING STRATIFICATION IN THE ANALYSIS OF LINEAR-REGRESSION MODELS WITH RIGHT CENSORING

被引：13

作者：

FYGENSON, M ^{[1
]}

ZHOU, M ^{[1
]}

机构：

[1] UNIV KENTUCKY,DEPT STAT,LEXINGTON,KY 40506

来源：

ANNALS OF STATISTICS | 1994年 / 22卷 / 02期

关键词：

CENSORED DATA; LINEAR MODELS; LEAST-SQUARES ESTIMATORS; STRATIFICATION;

D O I：

10.1214/aos/1176325494

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 study two modified synthetic data least-squares estimation methods for linear regression models with right censored response variables, unspecified residual distributions and random censoring variables which may not be i.i.d. These methods are the result of an investigation into the use of stratification. We conclude that stratification should be used whether or not the censoring variables are dependent on the covariates: We give the asymptotic results of the estimators and numerical results.

引用

页码：747 / 762

页数：16

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