eCite Digital Repository

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]


Preview
PDF
650Kb
  

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
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

Repository Staff Only: item control page