Simulation study of the glmm method applied to the analysis of clustered survival data

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)189-200
Journal / PublicationJournal of Statistical Computation and Simulation
Volume55
Issue number3
Publication statusPublished - 1996

Abstract

A simulation study is carried out for the analysis of clustered survival data based on the generalised linear mixed model (GLMM) methodology. Data are simulated for a proportional hazards model containing random components corresponding to a cluster effect and a subject effect. The performance of approximate maximum likelihood (ML) and residual maximum likelihood (REML) estimation of the regression parameter and variance components are evaluated. For a range of true parameter values, average biases of estimators, standard error of average bias and standard error of estimates over simulations are reported. A discussion of the use of random effects predictions is also given.

Research Area(s)

  • Clustered survival data, GLMM, ML, REML