Publication Bias and Funnel Plots
A practical guide to publication bias and funnel plots in meta-analysis, including funnel plot interpretation, small-study effects, Egger
Network Meta-Analysis Explained
A practical guide to network meta-analysis, including treatment networks, direct and indirect evidence, transitivity, consistency, heterogeneity, relative treatment effects, ranking probabilities, SUCRA, league tables, node splitting, and R implementation.
Introduction to Meta-Analysis in Clinical Research
A practical introduction to meta-analysis for clinical research, covering systematic review principles, effect measures, fixed-effect and random-effects models, heterogeneity, forest plots, funnel plots, publication bias, subgroup analysis, sensitivity analysis, and implementation in R.
Heterogeneity in Meta-Analysis: I-squared and Tau-squared
A practical guide to heterogeneity in meta-analysis, explaining I-squared versus tau-squared, Cochran
Fixed-Effect vs. Random-Effects Meta-Analysis
A practical guide to fixed-effect and random-effects meta-analysis, including study weights, inverse-variance weighting, heterogeneity, tau-squared, I-squared, prediction intervals, forest plots, model interpretation, and R implementation.