How to Conduct a Meta-Analysis of Proportions in R
Channel: Naike
Date: 2017-08-27

***This tutorial has been published in a peer-reviewed journal. Check it out on my ResearchGate page: https://www.researchgate.net/publication/375451196_Conducting_Meta-analyses_of_Proportions_in_R.
***The preprint of the written version of the tutorial has been posted on my ResearchGate page: https://www.researchgate.net/publication/325486099_How_to_Conduct_a_Meta-Analysis_of_Proportions_in_R_A_Comprehensive_Tutorial.
***Please note: I have updated the code I used in the video. Check out the newest version of the code on my Github page: https://github.com/wnk4242/metaprops. On this page, you can download both the code and the dataset I used in the video.

Meta-analysis of proportions is a little bit different than other types of meta-analysis- it includes studies that do not use control groups. This video tutorial is an original work I produced. It is the first tutorial out there that provides a step-by-step guide showing you how to conduct a full meta-analysis of proportions using R. 

Contents
0:16 Introduction
1:46 The dataset
3:07 Setting working directory
3:44 Loading packages and data
4:20 Pooling effect sizes
6:40 Interpretation of the results
8:45 Identifying outliers and influential cases
11:41 Removing outliers
12:24 Forest plots
14:11 Moderator analysis (subgroup analysis)
17:37 The fishy R-squared values
20:36 Two computational options for tau-squared values
23:39 Meta-analytic scatterplots
24:55 Meta-regression
26:39 Publication bias

If you have any questions, feel free to leave a comment below or email me at naike.wang@jjay.cuny.edu.