...and now for another Human Factors Minute!

A meta-analysis is a statistical analysis that combines the results of multiple scientific studies.

Meta-analysis can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error.

The aim is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived.

Existing methods for meta-analysis yield a weighted average from the results of the individual studies, and what differs is the manner in which these weights are allocated and also the manner in which the uncertainty is computed .

In addition to providing an estimate of the unknown common truth, meta-analysis can contrast results from different studies and identify patterns among study results, sources of disagreement among those results, or other interesting relationships that may come to light in the context of multiple studies.[

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