https://github.com/yingjie4science/meta-analysis-nature-health

https://github.com/yingjie4science/meta-analysis-nature-health

mental-health meta-analysis nature urban

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/yingjie4science/meta-analysis-nature-health
• Owner: Yingjie4Science
• License: gpl-3.0
• Created: 2023-01-01T07:14:51.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-04-07T17:21:53.000Z (6 months ago)
• Last Synced: 2025-04-07T18:32:43.743Z (6 months ago)
• Topics: mental-health, meta-analysis, nature, urban
• Language: R
• Homepage:
• Size: 7.2 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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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

  |-- included_papers_for_systematic_review.csv  ## for systematic review, 466 papers

  |-- included_papers_for_MA.csv                 ## papers for meta-analysis, 78 papers

  |-- 

  |-- ...

  

```

## 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, save paper list for sys review

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

012a_publication_bias.R               # Publication_bias analysis

013b_ma_sensitivity.Rmd               # Sensitivity analysis

020_viz_effect_size_overall.Rmd       # Visualize results

```

## Contact

yingjieli DOT edu AT gmail DOT com