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Meta-analysis of data from animal studies: a practical guide
Citation
Vesterinen, HM and Sena, ES and Egan, KJ and Hirst, TC and Churolov, L and Currie, GL and Antonic, A and Howells, DW and Macleod, MR, Meta-analysis of data from animal studies: a practical guide, Journal of neuroscience methods, 15, (221) pp. 92-102. ISSN 0165-0270 (2014) [Refereed Article]
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Copyright Statement
Copyright 2013 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) https://creativecommons.org/licenses/by-nc-nd/3.0/
DOI: doi:10.1016/j.jneumeth.2013.09.010
Abstract
Meta-analyses of data from human studies are invaluable resources in the life sciences and the methods to conduct these are well documented. Similarly there are a number of benefits in conducting meta-analyses on data from animal studies; they can be used to inform clinical trial design, or to try and explain discrepancies between preclinical and clinical trial results. However there are inherit differences between animal and human studies and so applying the same techniques for the meta-analysis of preclinical data is not straightforward. For example preclinical studies are frequently small and there is often substantial heterogeneity between studies. This may have an impact on both the method of calculating an effect size and the method of pooling data. Here we describe a practical guide for the meta-analysis of data from animal studies including methods used to explore sources of heterogeneity.
Item Details
Item Type: | Refereed Article |
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Keywords: | Animal studies; Heterogeneity; Meta-analysis; Meta-regression; Stratified meta-analysis |
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Clinical sciences |
Research Field: | Clinical sciences not elsewhere classified |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the health sciences |
UTAS Author: | Howells, DW (Professor David Howells) |
ID Code: | 100740 |
Year Published: | 2014 |
Web of Science® Times Cited: | 257 |
Deposited By: | Medicine |
Deposited On: | 2015-05-27 |
Last Modified: | 2017-11-06 |
Downloads: | 151 View Download Statistics |
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