Meta-Analysis Methods in R

Overview

Comprehensive pairwise meta-analysis methods covering effect size calculation, fixed and random effects models, heterogeneity assessment, publication bias detection, subgroup analysis, meta-regression, and sensitivity analyses for synthesizing evidence across studies.

Effect Size Calculation

Continuous Outcomes

library(metafor)

# Standardized mean difference (SMD/Cohen's d/Hedges' g)
dat <- escalc(
  measure = "SMD",      # Hedges' g (bi

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