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Lortie, Christopher J.; Stewart, Gavin; Rothstein, Hannah; Lau, Joseph – Research Synthesis Methods, 2015
Meta-analysis offers ecologists a powerful tool for knowledge synthesis. Albeit a form of review, it also shares many similarities with primary empirical research. Consequently, critical reading of meta-analyses incorporates criteria from both sets of approaches particularly because ecology is a discipline that embraces heterogeneity and broad…
Descriptors: Meta Analysis, Hypothesis Testing, Critical Reading, Ecology
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Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2015
Heterogeneity in meta-analysis is most commonly estimated using a moment-based approach described by DerSimonian and Laird. However, this method has been shown to produce biased estimates. Alternative methods to estimate heterogeneity include the restricted maximum likelihood approach and those proposed by Paule and Mandel, Sidik and Jonkman, and…
Descriptors: Meta Analysis, Comparative Analysis, Maximum Likelihood Statistics, Probability
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Donegan, Sarah; Williamson, Paula; D'Alessandro, Umberto; Tudur Smith, Catrin – Research Synthesis Methods, 2013
Background: Homogeneity and consistency assumptions underlie network meta-analysis (NMA). Methods exist to assess the assumptions but they are rarely and poorly applied. We review and illustrate methods to assess homogeneity and consistency. Methods: Eligible articles focussed on indirect comparison or NMA methodology. Articles were sought by…
Descriptors: Networks, Meta Analysis, Research Methodology, Diseases