This is a repository copy of A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/134365/ Version: Accepted Version Article: Langan, Dean, Higgins, Julian P T orcid.org/0000-0002-8323-2514, Jackson, Dan et al. (5 more authors) (2018) A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses. Research Synthesis Methods. ISSN 1759-2887 https://doi.org/10.1002/jrsm.1316 Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing
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[email protected] https://eprints.whiterose.ac.uk/ A comparison of heterogeneity variance estimators in simulated random- effects meta-analyses Running title: A comparison of heterogeneity variance estimators Dean Langan (
[email protected]) (corresponding author) 1 7 Julian PT Higgins (
[email protected]) 2 Dan Jackson (
[email protected]) 3 Jack Bowden (
[email protected]) 2 Areti Angeliki Veroniki (
[email protected]) 4 Evangelos Kontopantelis (
[email protected]) 5 Wolfgang Viechtbauer (
[email protected]) 6 Mark Simmonds (
[email protected]) 7 1 Great Ormond Street Institute of Child Health, UCL, London, WC1E 6BT, UK 2 School of Social and Community Medicine, University of Bristol, Bristol, UK 3 Statistical Innovation Group, AstraZeneca, Cambridge, UK 4 Li Ka Shing Knowledge Institute, St.