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---
title: "Doing Meta Analysis in R"
<<<<<<< HEAD
subtitle: "A Hands-On Guide"
=======
subtitle: "A Hands-on Guide"
>>>>>>> f3259eafbebf95ffc6044d4af3f61e06d59c7876
author: "Mathias Harrer, B.Sc. & Dr. habil. David Ebert"
date: "Behavioral Health Promotion & Technology Lab"
github-repo: "MathiasHarrer/Doing-Meta-Analysis-in-R"
site: bookdown::bookdown_site
output:
<<<<<<< HEAD
bookdown::pdf_book:
toc: true
fig_caption: false
df_print: kable
highlight: tango
geometry: margin=2cm
fontsize: 12pt
mainfont: Rosario
=======
bookdown::gitbook:
config:
toc:
collapse: section
search: yes
fontsettings:
size: 1
split_by: section
includes:
after_body: banner.html
df_print: paged
>>>>>>> f3259eafbebf95ffc6044d4af3f61e06d59c7876
documentclass: book
bibliography: [book.bib, packages.bib]
biblio-style: apalike
link-citations: yes
description: "This is a guide on how to conduct Meta-Analysis in R."
favicon: "favicon.ico"
---
# About this Guide
<<<<<<< HEAD
=======
>>>>>>> f3259eafbebf95ffc6044d4af3f61e06d59c7876
```{block}
This guide shows you how to conduct Meta-Analyses in R from scratch. The focus of this guide is primarily on clinical outcome research in psychology. It is designed for staff and collaborators of the [**PROTECT Lab**](https://www.protectlab.org), which is headed by **Dr. David D. Ebert**.
```
<<<<<<< HEAD
$~$
=======
```{r, echo=FALSE, fig.width=3,fig.height=2}
library(png)
library(grid)
img <- readPNG("protectlogo.PNG")
grid.raster(img)
```
---
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**The guide will show you how to:**
* Get **R** and **RStudio** set for your Meta-Analysis
* Get your data into R
* **Prepare your data** for the meta-analysis
* Perform **fixed-effect** and **random-effects** meta-analysis using the `meta` and `metafor`packages
* Analyse the **heterogeneity** of your results
* Tackle heterogeneity using **subgroup analyses** and **meta-regression**
* Check if **selective outcome reporting (publication bias)** is a present in your data
* Control for selective outcome reporting and publication bias
* Analyse the **risk of bias** in your data
* Do advanced types of meta-analyses, such as
+ **network analyses** or (online only)
+ meta-analyses with **more than one outcome** (online only)
$~$
**What this guide will not cover**
Although this guide will provide some information on the statistics behind meta-analysis, it will not give you an **in-depth introduction** into how meta-analyses are calculated statistically. It is also beyond the scope of this guide to advise in detail which meta-analytical strategy is suited best in which contexts, and on how the search, study inclusion and reporting of meta-analyses should be conducted. The [*Cochrane Handbook for Systematic Reviews of Interventions*](http://handbook-5-1.cochrane.org/), however, should be a great source to find more information on these topics.
$~$
**Generally, there a two other sources to recommended when conducting Meta-Analyses:**
* If you're looking for a easily digestable, hands-on introduction on how Meta-Analyses are conducted, we can recommend **Pim Cuijpers' online courses on Meta-Analysis**. The courses are freely available on YouTube. To have a look, click [here](https://www.youtube.com/watch?v=pP7_VBrG_TY&list=PL-h5cI5Bkvt0J-O0kq_9J9_aksWFPgR7s).
* If you're interested in more details on how to conduct Meta-Analyses in R, you can either have a look at Wolfgang Viechtbauer's page for the `metafor` package ([Link](http://metafor-project.org)). Or you can consult a book on the `meta` package which was recently published [@schwarzer2015meta].
$~$
**How to read this book online**
<<<<<<< HEAD
We highly recommend to also have a look at the online version of this guide, which can be found here: https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/. The online guide is more interactive and updated regularly with new material. It contains Web Apps and further guides on other topics around doing Meta-Analyses in R which may be of interest to you.
$~$
**How to get the R code for this guide**
=======
>>>>>>> f3259eafbebf95ffc6044d4af3f61e06d59c7876
All code behind this book is available online on **GitHub**. We have created a website containing a **download link** for all codes, and a **quick guide** on how to get the code running on your computer. The site can be found [here](https://mathiasharrer.github.io/Doing-Meta-Analysis-in-R/).
$~$
**How to cite this guide**
Harrer, M. & Ebert, D. D. (2018). Doing Meta-Analysis in R: A practical Guide. *PROTECT Lab Friedrich-Alexander University Erlangen-Nuremberg*. [https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/](https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/)
```{r eval=FALSE, echo=FALSE}
install.packages("bookdown")
# or the development version
# devtools::install_github("rstudio/bookdown")
```
$~$
**To get started, proceed to the next chapter!**
```{r include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
.packages(), 'bookdown', 'knitr', 'rmarkdown'
), 'packages.bib')
```