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https://github.com/mahshaaban/intro_meta_r

Introduction to meta analysis in R
https://github.com/mahshaaban/intro_meta_r

meta-analysis r

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Introduction to meta analysis in R

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## Introduction to meta analysis in R

### Description

This is a short course on meta-analysis in R. The goal is to get the
participants familiar with R code and to use it to perform a meta-analysis of
published results. The materials are delivered in the form of a self-paced
interactive exercises.

### Objectives

- To get familiar with R as a tool for data analysis
- To apply basic arithmetic and statistics in R
- To learn how to perform meta-analysis in R using the `metafore` package

### Pre-requisite

- Introduction to R ([Data Camp Free Interactive Course](https://www.datacamp.com/courses/free-introduction-to-r))
- Reading [Viechtbauer, 2010](https://www.jstatsoft.org/article/view/v036i03)

### Format

Each module is delivered in two steps

- [`practice/`](practice/): interactive exercises to introduce concepts
- [`homework/`](homework/): more exercises to test understanding

### Outline

- Getting started in R
- Practice ([Link](https://bcmslab.shinyapps.io/rmeta_practice_1/))
- Homework ([Link](https://bcmslab.shinyapps.io/rmeta_homework_1/))
- Basic statistics in R
- Practice ([Link](https://bcmslab.shinyapps.io/rmeta_practice_2/))
- Homework ([Link](https://bcmslab.shinyapps.io/rmeta_homework_2/))
- Evaluating the effect of the BCG vaccine
- Practice ([Link](https://bcmslab.shinyapps.io/rmeta_practice_3/))
- Homework ([Link](https://bcmslab.shinyapps.io/rmeta_homework_3/))