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Random effect model


This is a statistical model sometimes used in meta-analysis in which both within-study sampling error (variance) and between-studies variation are included in the assessment of the uncertainty (confidence interval) of the results of a meta-analysis.

If there is significant heterogeneity among the results of the included studies, random effects models will give wider confidence intervals than fixed effect models.