ESTIMATING A MULTIVARIATE PROPORTIONAL HAZARDS MODEL FOR CLUSTERED DATA USING THE EM ALGORITHM, WITH AN APPLICATION TO CHILD SURVIVAL IN GUATEMALA

被引：92

作者：

GUO, GA ^{[1
]}

RODRIGUEZ, G ^{[1
]}

机构：

[1] PRINCETON UNIV,OFF POPULAT RES,PRINCETON,NJ 08544

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1992年 / 87卷 / 420期

关键词：

FRAILTY; INFANT AND CHILD MORTALITY; MIXTURE MODELS; RANDOM EFFECTS;

D O I：

10.2307/2290633

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：

This article discusses a random-effects model for the analysis of clustered survival times, such as those reflecting the mortality experience of children in the same family. We describe parametric and nonparametric approaches to the specification of the random effect and show how the model may be fitted using an accelerated EM algorithm. We then fit two specifications of the model to child survival data from Guatemala. These data had been analyzed before using standard hazard models that ignore cluster effects.

引用

页码：969 / 976

页数：8

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