Modelling the distribution of ischaemic stroke-specific survival time using an EM-based mixture approach with random effects adjustment

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Original languageEnglish
Pages (from-to)2729-2744
Journal / PublicationStatistics in Medicine
Issue number17
Publication statusPublished - 15 Sep 2004


A two-component survival mixture model is proposed to analyse a set of ischaemic stroke-specific mortality data. The survival experience of stroke patients after index stroke may be described by a subpopulation of patients in the acute condition and another subpopulation of patients in the chronic phase. To adjust for the inherent correlation of observations due to random hospital effects, a mixture model of two survival functions with random effects is formulated. Assuming a Weibull hazard in both components, an EM algorithm is developed for the estimation of fixed effect parameters and variance components. A simulation study is conducted to assess the performance of the two-component survival mixture model estimators. Simulation results confirm the applicability of the proposed model in a small sample setting. Copyright © 2004 John Wiley & Sons, Ltd.

Research Area(s)

  • EM algorithm, GLMM, Stroke-specific death, Survival mixture, Weibull distribution

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