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      Meta-analysis of data from animal studies: a practical guide.

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          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.

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          Author and article information

          Journal
          J Neurosci Methods
          Journal of neuroscience methods
          Elsevier BV
          1872-678X
          0165-0270
          Jan 15 2014
          : 221
          Affiliations
          [1 ] Department of Clinical Neurosciences, The University of Edinburgh, United Kingdom.
          Article
          S0165-0270(13)00321-X
          10.1016/j.jneumeth.2013.09.010
          24099992
          e6937d62-5ff5-4df9-9eec-8d1910aab17b
          Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.
          History

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

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