MODELING MARGINAL HAZARDS IN MULTIVARIATE FAILURE TIME DATA

被引：0

作者：

LIANG, KY ^{[1
]}

SELF, SG ^{[1
]}

CHANG, YC ^{[1
]}

机构：

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

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL | 1993年 / 55卷 / 02期

关键词：

FAILURE TIME DATA; MARGINAL HAZARD; MULTIVARIATE ANALYSIS; U-STATISTICS;

D O I：

暂无

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 consider the problem of estimating relative risk parameters in the marginal distribution of failure times from a sample in which individuals are grouped into clusters and failure times for individuals within clusters may be dependent. We assume that the marginal hazard of failure for individuals within a cluster is specified by a relative risk regression model and the structure of dependence between individuals within a cluster is left unspecified. Estimating equations for the regression parameters and an estimator for the cumulative base-line marginal hazard are described. Large sample distribution theory based on a representation of the estimating functions as U-statistics is developed and results from a small simulation study are described. Two examples which originally motivated this work are presented.

引用

页码：441 / 453

页数：13

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