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

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 p...

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Bibliographic Details
Published in:Statistics in medicine 2004-09, Vol.23 (17), p.2729-2744
Main Authors: Ng, S. K., McLachlan, G. J., Yau, Kelvin K. W., Lee, Andy H.
Format: Article
Language:English
Subjects:
Age Factors
Aged
Aged, 80 and over
Algorithms
Computer Simulation
EM algorithm
Female
GLMM
Hospitals - standards
Humans
Male
Models, Cardiovascular
Models, Statistical
Mortality
Sex Factors
Stroke
Stroke - mortality
stroke-specific death
Survival Analysis
survival mixture
Weibull distribution
Western Australia - epidemiology
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Summary: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.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.1840