A SELF-CONSISTENT ESTIMATOR OF MARGINAL SURVIVAL FUNCTIONS BASED ON DEPENDENT COMPETING RISK DATA AND AN ASSUMED COPULA

被引：18

作者：

ZHENG, M

KLEIN, JP

机构：

[1] OHIO STATE UNIV,DEPT STAT,COLUMBUS,OH 43201

[2] MED COLL WISCONSIN,DIV BIOSTAT,MILWAUKEE,WI 53226

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1994年 / 23卷 / 08期

关键词：

ARCHIMEDEAN COPULAS; CENSORED DATA; PRODUCT LIMIT ESTIMATOR;

D O I：

10.1080/03610929408831387

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：

When the time to death, X, and the time to censoring, Y, are associated some additional information is need to identify the marginal survival functions. A natural function which provides this additional information is the copula of X and Y. Assuming that the copula is known, we use the notion of self consistency to construct an estimator of the marginal survival functions based on dependent competing risk data. Results of a small simulation study are shown to compare this estimator to other estimators of the marginal survival function based on an assumed copula.

引用

页码：2299 / 2311

页数：13

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EFRON B, 1976, 5TH P BERK S MATH ST, V4

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