An overdispersion model in meta-analysis

Kulinskaya, Elena and Olkin, Ingram (2014) An overdispersion model in meta-analysis. Statistical Modelling, 14 (1). pp. 49-76. ISSN 1471-082X

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We propose a general approach based on the concept of overdispersion for specification of a random effects model (REM) in meta-analysis. This approach is similar to that used in generalized linear models, and includes the traditional REM as a particular case. A key feature of the model is the interpretation of the multiplicative factor as an intra-class correlation parameter. We provide several motivating examples, discuss statistical inference, and compare the new and standard methods on two examples of published meta-analyses. Estimation of the overdispersion parameter in the proposed model is compared in simulations to that of the traditional between-studies variance in the case of normal means. For small values of heterogeneity, the coverage of the confidence intervals for the overdispersion parameter is more stable. © 2014 SAGE Publications.

Item Type: Article
Uncontrolled Keywords: between-study variability,heterogeneity,intra-class correlation,random effects model
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023)
Faculty of Science > Research Groups > Data Science and Statistics
Faculty of Science > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
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Depositing User: Pure Connector
Date Deposited: 04 Jul 2014 12:52
Last Modified: 19 Apr 2023 00:12
DOI: 10.1177/1471082X13494616

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