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ToolsKulinskaya, Elena and Olkin, Ingram (2014) An overdispersion model in meta-analysis. Statistical Modelling, 14 (1). pp. 49-76. ISSN 1471-082X
Full text not available from this repository. (Request a copy)Abstract
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 |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 04 Jul 2014 12:52 |
| Last Modified: | 19 Apr 2023 00:12 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/48975 |
| DOI: | 10.1177/1471082X13494616 |
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