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meta-analysis

System requirements

The R scripts were prepared using R version 4.3.2 on Windows 11 Pro.

The following publicly available R packages were used in this analysis:

This project does not involve any non-standard hardware.

##' Installation
install.packages("readr")
install.packages("sf")
install.packages("meta")
install.packages("ggplot2")
install.packages("ggpubr")


##' Load R packages
library(readr)
library(sf)
library(meta)     # v7.0.0
library(ggplot2)
library(ggpubr)

Data

All the data that support the findings of this study are publicly available. The complete list of studies included in the systematic review is saved as a CSV file in the data folder.

data
  |
  |-- 0301-MA-input
  |        |-- id_region_match.rds
  |

Code

All analysis code are deposited in the code folder.

Users can refer to the detailed annotations in the main scripts below to execute the code.

000_load_Extraction.Rmd               # Load raw data
001_mini-review.Rmd                   # Systematic review analysis
009_Quality_Assessment.RMD            # Quality assessment
010_MA_data.Rmd                       # Format data for meta-analysis
012_MA_MD.Rmd                         # Perform meta-analysis
020_viz_effect_size_overall.Rmd       # Visualize results

Contact

yingjieli DOT edu AT gmail DOT com

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Meta-analysis for cross-sectional studies

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