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Meta-analysis

Meta-analysis

Meta-analysis:

Meta-analysis takes the results of two or more studies of the same research question and combines them into a single analysis. The purpose of meta-analysis is to gain greater accuracy and statistical power by taking advantage of the large sample size resulting from the cumulation of results over multiple studies. Meta-analysis typically uses the summary statistics from the individual studies, without requiring access to the full data set. Key components of meta-analysis include ensuring the availability of a common metric (statistic) across all studies, and the use of appropriate algorithms for combining or averaging those metrics across studies and assessing statistical significance.

See also: http://www.mnsinc.com/solomon/MetaA/MApage2.html#LinksAnch

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Meta Analysis 1
This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
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