Significance of Random-effects model

The random-effects model is a statistical approach utilized in meta-analysis that acknowledges the variability in effect sizes across different studies. It assumes that true effect sizes may differ among research, allowing for enhanced generalization and more accurate aggregation of results. This model is particularly applied when heterogeneity among study outcomes is present, accommodating differences in populations or interventions. By factoring in this variability, the random-effects model contributes to a more nuanced understanding of overall effect sizes in meta-analyses.

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The concept of Random-effects model in scientific sources

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