Various methods for statistical analysis of data are available to clinicians and researchers. Meta-analysis is a tool by which small, related studies are identified and, through systematic review, are combined into a common data pool for a single, larger population analysis. As with all statistical methods, there are indications and contraindications for the use of meta-analysis. Additionally, meta-analysis is dependent upon the quality of data applied, the bias of the test itself, and the interpretation of the results. This article will discuss these aspects of meta-analysis, including the history of its development and usage in the scientific community, basic terminology, and a relevant literature review.
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