NONPARAMETRIC-TESTS OF THE MARKOV MODEL FOR SURVIVAL-DATA

被引：1

作者：

JONES, MP ^{[1
]}

CROWLEY, J ^{[1
]}

机构：

[1] FRED HUTCHINSON CANC RES CTR,SEATTLE,WA 98104

来源：

BIOMETRIKA | 1992年 / 79卷 / 03期

关键词：

CENSORED DATA; EXCESS RISK; GENERALIZED LOG RANK TEST; KENDALL RANK CORRELATION; MARKOV MODEL; RELATIVE RISK; TRUNCATED DATA;

D O I：

10.2307/2336782

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Jones & Crowley (1989) introduced a general class of nonparametric statistics for right-censored survival data that includes many of the existing procedures involving a single covariate. This paper considers this class in the framework of a Markov model and suggests some tests especially appropriate for the Markov setting. Application to left-truncated and right-censored data is also given. Small sample properties and asymptotic relative efficiencies for several statistics of this class are investigated for both relative and excess risk models for the hazard.

引用

页码：513 / 522

页数：10

共 10 条

[1]

Brown B.W.M., 1974, RELIABILITY BIOMETRY, P327

[2]

COX DR, 1972, J R STAT SOC B, V34, P187

[3] TESTING SURVIVAL UNDER RIGHT CENSORING AND LEFT TRUNCATION [J].