Estimating a Multivariate Proportional Hazards Model for Clustered Data Using the EM Algorithm, with an Application to Child Survival in Guatemala
作者:
Guang Guo,
Germán Rodríguez,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1992)
卷期:
Volume 87,
issue 420
页码: 969-976
ISSN:0162-1459
年代: 1992
DOI:10.1080/01621459.1992.10476251
出版商: Taylor & Francis Group
关键词: Frailty;Infant and child mortality;Mixture models;Random effects
数据来源: Taylor
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.
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