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Estimating a Multivariate Proportional Hazards Model for Clustered Data Using the EM Algorithm, with an Application to Child Survival in Guatemala
Guang Guo and German Rodriguez
Journal of the American Statistical Association
Vol. 87, No. 420 (Dec., 1992), pp. 969-976
Stable URL: http://www.jstor.org/stable/2290633
Page Count: 8
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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.
Journal of the American Statistical Association © 1992 American Statistical Association