Introduction
What this guide covers
Introduction data |> escalc(...) |> rma.uni(...) |> forest() Data Science with R · Expert Level
Overview
Topics covered
- Introduction
- Mathematical Foundations and Models
- Effect Sizes and Sample Variance
- Fixed Effects Models vs. Random Effects
- Statistical Estimation with metafor
- Heterogeneity Estimators ( )
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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d_i = \frac{\bar{x}_{1i} - \bar{x}_{2i}}{S_{p,i}}, \quad g_i = d_i \left( 1 - \frac{3}{4(n_{1i} + n_{2i}) - 9} \right)