Unlock the power of data with “Doing Meta-Analysis with R: A Hands-On Guide” from The Bookish Owl. This essential resource provides a clear, practical introduction to conducting robust meta-analyses using the R programming language. Master crucial techniques like calculating and pooling outcome measures, creating informative forest plots, diagnosing heterogeneity, and performing subgroup analyses and meta-regression. Explore advanced topics including publication bias control, risk of bias assessment, and even network meta-analysis and Bayesian approaches. Ideal for researchers and students, this guide introduces the companion dmetar R package, simplifying complex analyses with pre-built functions and datasets. Elevate your research and gain deeper insights with this indispensable R meta-analysis guide.