Meta-Analysis with R

Meta-Analysis with R

by Guido Schwarzer, James R Carpenter, Gerta Rücker

252 pages· 2015· ISBN 9783319214160

Browse books you can read free on Readfeed

No club is reading this yet — be the first to start one

Start a club free
About
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

Discuss Meta-Analysis with R with other readers

Join or start a book club for Meta-Analysis with R on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for Meta-Analysis with R?

Sign up free on Readfeed, then browse public clubs or start your own club with Meta-Analysis with R as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Meta-Analysis with R with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Meta-Analysis with R with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.