Meta-analysis of data from animal studies: A practical guide

H. M. Vesterinen, E. S. Sena, K. J. Egan, T. C. Hirst, L. Churolov, G. L. Currie, A. Antonic, D. W. Howells, M. R. Macleod

Research output: Contribution to journalReview ArticleResearchpeer-review

323 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)92-102
Number of pages11
JournalJournal of Neuroscience Methods
Publication statusPublished - 15 Jan 2014
Externally publishedYes


  • Animal studies
  • Heterogeneity
  • Meta-analysis
  • Meta-regression
  • Stratified meta-analysis

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