Estimating a Multivariate Proportional Hazards Model for Clustered Data Using the EM Algorithm, with an Application to Child Survival in Guatemala

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Citation

Guo, Guang & Rodríguez, Germán (1992). Estimating a Multivariate Proportional Hazards Model for Clustered Data Using the EM Algorithm, with an Application to Child Survival in Guatemala. Journal of the American Statistical Association, 87(420), 969-976.

Abstract

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.

URL

http://dx.doi.org/10.2307/2290633

Reference Type

Journal Article

Year Published

1992

Journal Title

Journal of the American Statistical Association

Author(s)

Guo, Guang
Rodríguez, Germán

ORCiD

Guo - 0000-0002-4465-9881