QUANTILE ESTIMATION OF TREATMENT EFFECT FOR THE 2-SAMPLE PROBLEM WITH RIGHT CENSORED-DATA

被引：5

作者：

PARK, HI

PARK, SG

机构：

[1] CHONG JU UNIV,DEPT APPL STAT,CHONJU 360764,SOUTH KOREA

[2] CHUNG ANG UNIV,DEPT APPL STAT,SEOUL 156756,SOUTH KOREA

来源：

STATISTICS & PROBABILITY LETTERS | 1995年 / 24卷 / 02期

关键词：

TREATMENT EFFECT; KAPLAN-MEIER ESTIMATOR; QUANTILE FUNCTION; LOCATION SHIFT MODEL; TRUNCATED MEAN DIFFERENCE;

D O I：

10.1016/0167-7152(94)00158-5

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：

Estimating the treatment effect in the two-sample problem when some of the data are right censored is an important problem. Akritas (1986) and Meng et al. (1991) proposed estimators of the treatment effect under the location shift model using the fact that the median of the distribution of the difference of two independent random variables is the location shift. An estimator based on the quantile function is proposed and consistency and asymptotic normality of it are also presented.

引用

页码：139 / 145

页数：7

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