This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools.
I have a question about the book:
'Doing Meta-Analysis with R - Harrer, Mathias, Cuijpers, Pim, Furukawa, Toshi, Ebert, David'.
Fill in the form below.
We will respond as fast as possible.
We value your privacy
We use cookies to measure traffic, improve Boekstra and let Google tailor ads to your interests. You can keep using the site either way — even if you decline. More info
