Fixed-Effect vs Random-Effects Models for Meta-Analysis: 3 Points to Consider
Abstract
Meta-analysis is the statistical procedure for combining data from multiple studies. Meta-analyses are being conducted with increasing frequency (Figure 1). Compared to a single clinical study, they can increase statistical power, improve accuracy, and provide a summary of fi ndings with respect to key clinical questions. Understanding the statistical models underlying the analysis is important.
How strong is the evidence?
Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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