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R code for teaching meta-analysis (SKI3011, University College Maastricht)

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Teaching-Code

R code for lectures and tutorials on meta-analysis by Prof. dr. Maurice Zeegers, Professor of Epidemiology at Maastricht University, the Netherlands. Part of his academic repository.

SKI3011: Statistics in Systematic Reviewing (University College Maastricht, 2025-2026)

Lecture scripts in R with the metafor package, in the order of the course:

Script Topic
SKI3011/Week 2_Intro.R Introduction to R
SKI3011/Week 3_Visualisations.R Histograms, box plots, scatter plots and forest plots
SKI3011/Week 4_Proportions_Correlations.R Meta-analysis of proportions and correlations
SKI3011/Week 5_Binary_Outcomes.R Meta-analysis of binary outcomes (odds ratios, risk ratios)
SKI3011/Week 6_Continuous_Outcomes.R Meta-analysis of continuous outcomes (mean differences)
SKI3011/Forest plots Simplified.R Forest plots of meta-analyses on a log scale

The data files used in the scripts (*.csv, PFAS.xlsx) are in the same folder.

The current version of the course, including the 2026-2027 R lectures, is on ucm.meta-research.nl.

Licence

The R code is available under the MIT licence. With thanks to Sander van Kuijk and Colinda Simons, who contributed to earlier versions of several lectures.

This repo is supported by Claude Code, commit messages are generated by Copilot.

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R code for teaching meta-analysis (SKI3011, University College Maastricht)

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