Given the vital role of meta-analyses, it is therefore imperative that they are performed correctly, i.e., that appropriate statistical techniques are used to guide meta-analyses so that the conclusions are sound.ĭespite this need, however, most meta-analysts are familiar with only basic meta-analytic methods, limiting the accuracy and power of analyses. Indeed, by quantitatively summarizing the available evidence pertaining to precise clinical questions, meta-analyses can inform clinical practice at all levels of healthcare. The related projects can be accessed on the right side of this page.īackground: Meta-analysis, the quantitative synthesis of information from independent sources (studies), forms a cornerstone of evidence-based medicine (EBM). This is one of four related projects designed to document the current standards and methods used in the meta-analysis of diagnostic tests, validate newly proposed methods, develop new statistical methods to perform meta-analyses of diagnostic tests, and then to incorporate these insights into computer software that will be available to all EPCs and others conducting reviews of diagnostic tests.
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