Description
Book Synopsis: Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and 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. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible.
Features:
- Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises
- Describes statistical concepts clearly and concisely before applying them in R
- Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
Details
Are you looking for a comprehensive guide on how to conduct meta-analyses using R? Look no further! Our book, "Doing Meta-Analysis with R: A Hands-On Guide," is the ultimate resource for anyone interested in meta-analysis. Whether you're a beginner or an experienced researcher, this book has something for you.
With "Doing Meta-Analysis with R," you'll learn all the essential steps for conducting a successful meta-analysis. From calculating and pooling outcome measures to performing subgroup analyses and controlling for publication bias, this book covers it all. We even dive into advanced topics like network meta-analysis and Bayesian approaches.
What sets this book apart is its user-friendly approach. We understand that not everyone is an expert in programming or statistics. That's why we have kept the concepts and explanations simple and easy to understand. You'll be able to follow along effortlessly, even if you have limited experience with R.
As a bonus, the book comes with a companion R package, dmetar. This package includes data sets and helper functions that will assist you throughout your meta-analysis journey. Plus, we provide step-by-step guidance and exercises, ensuring that you gain hands-on experience and become proficient in conducting meta-analyses.
Don't miss out on this invaluable resource. Start mastering meta-analysis with R today by getting your hands on "Doing Meta-Analysis with R: A Hands-On Guide." Take your research to the next level and unleash the power of meta-analysis. Get your copy now!
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