Skip navigation

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.