Meta-analysis by random effect modelling in generalized linear models
- 31 August 1999
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 18 (17-18) , 2343-2351
- https://doi.org/10.1002/(sici)1097-0258(19990915/30)18:17/18<2343::aid-sim260>3.0.co;2-3
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. Copyright © 1999 John Wiley & Sons, Ltd.Keywords
This publication has 18 references indexed in Scilit:
- A General Maximum Likelihood Analysis of Variance Components in Generalized Linear ModelsBiometrics, 1999
- A general maximum likelihood analysis of overdispersion in generalized linear modelsStatistics and Computing, 1996
- League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional PerformanceJournal of the Royal Statistical Society Series A: Statistics in Society, 1996
- Keynote addresses. Meta‐analysis: Reconciling the results of independent studiesStatistics in Medicine, 1995
- Meta‐analysis: Weighing the evidenceStatistics in Medicine, 1995
- Review papers : The statistical basis of meta-analysisStatistical Methods in Medical Research, 1993
- A general parametric approach to the meta‐analysis of randomized clinical trialsStatistics in Medicine, 1991
- Empirical Bayes Meta-AnalysisJournal of Educational Statistics, 1985
- The Geometry of Mixture Likelihoods: A General TheoryThe Annals of Statistics, 1983
- Nonparametric Maximum Likelihood Estimation of a Mixing DistributionJournal of the American Statistical Association, 1978