Meta-analysis of Binary Data

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Meta-analysis of Binary Data plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/meta-bin?lang=en

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: data.table; jsonlite; meta; ggplotify

# Install packages
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("meta", quietly = TRUE)) {
  install.packages("meta")
}
if (!requireNamespace("ggplotify", quietly = TRUE)) {
  install.packages("ggplotify")
}

# Load packages
library(data.table)
library(jsonlite)
library(meta)
library(ggplotify)

Data Preparation

# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/meta-bin/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# Convert data structure
m1 <- metabin(ev.exp, n.exp, ev.cont, n.cont, studlab = Study, data = data)

# View data
head(data)

       Study ev.exp n.exp ev.cont n.cont
1   Fletcher      1    12       4     11
2      Dewar      4    21       7     21
3 Lippschutz      6    43       7     41
4 European_1     20    83      15     84
5 European_2     69   373      94    357

Visualization

# Meta-analysis of Binary Data
p <- as.ggplot(function(){
  meta::forest(m1, layout = "meta")
  })

p