This repository contains the data, code, and resources used for the publication "Exploring the efficacy of psychological treatments for depression: a multiverse meta-analysis protocol", available at BMJ Open.
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data/
Contains the datasets used for the analysis, formatted for the R Markdown files. -
multiverse_1_data-cleaning.Rmd
Prepares and cleans the data for use in the multiverse analysis. -
multiverse_2_multiverse-analysis.Rmd
Conducts the multiverse meta-analysis by systematically exploring variations in analytical choices. -
multiverse_3_descriptive-specification-plot.Rmd
Generates descriptive plots summarizing the specifications used in the multiverse. -
multiverse_4_inferential-specification-plot.Rmd
Produces inferential specification plots to visualize variability in the results across analytical choices. -
multiverse_4_inferential-specification-plot_cre_avg.Rmd
Generates additional inferential plots focusing on conditional response effect averages. -
multiverse_5_GOSH-plot.Rmd
Creates a GOSH (Graphical Overview for Study Heterogeneity) plot to investigate the robustness of findings. -
multiverse_6_results.Rmd
Summarizes the main results from the multiverse meta-analysis, including tables and visualizations.
- Download this repository as a ZIP file by clicking the green "Code" button at the top of the GitHub page and selecting "Download ZIP".
- Extract the contents of the ZIP file to a folder on your computer.
- Open and execute the R Markdown files in RStudio in the following order:
multiverse_1_data-cleaning.Rmd
multiverse_2_multiverse-analysis.Rmd
- Follow with the remaining files sequentially to replicate the entire analysis pipeline.
If you use the code or data in this repository, please cite the publication:
Exploring the efficacy of psychological treatments for depression: a multiverse meta-analysis protocol
Constantin Yves Plessen, Eirini Karyotaki, Pim Cuijpers
Published in BMJ Open.
DOI: 10.1136/bmjopen-2021-050197.
For questions or feedback about this repository, please contact Constantin Yves Plessen at yves [dot] plessen [at] gmail [dot] com