Meta-analysis by random effect modelling in generalized linear models

Murray A. Aitkin

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Meta-analysis and systematic reviews Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference

Abstract

The meta-analysis of multi-centre trials can be based on either fixed or random effect models. This paper argues for the general use of random effect models, and illustrates the value of non-parametric maximum likelihood (NPML) analysis of such trials. The same general approach unifies administrative 'league table' analyses in epidemiological and other studies. Several examples of the NPML analysis are given, including a 70-centre trial.

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References

1984A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data 1993Review papers : The statistical basis of meta-analysis 1996League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance 1991A general parametric approach to the meta‐analysis of randomized clinical trials 1985Empirical Bayes Meta-Analysis 1995Keynote addresses. Meta‐analysis: Reconciling the results of independent studies 1995Meta‐analysis: Weighing the evidence

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