https://github.com/asreview/paper-depression-brouwer-simulation-atd
Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)
https://github.com/asreview/paper-depression-brouwer-simulation-atd
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Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)
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README.md
Scripts for simulation study on obtaining average time to discovery
This repository contains the scripts for a simulation study performed on data from the systematic review by Brouwer et al. (2019).
The simulation study has the following characteristics:
- The number of runs is equal to the number of inclusions in the dataset;
- Every run starts with 1 prior inclusion and 10 prior exclusions;
- The prior inclusion is different for every run, e.g. all inclusions in the data are used as a prior inclusion once;
- The 10 prior exclusions are the same for every run, and they are randomly sampled from the dataset.
Installation
The scripts in this repository require Python 3.6+ and R. Install the dependencies with (in the command line):
```
install required software (such as ASReview)
pip install requirements.txt Rscript install.R ```
Data
The systematic review data used for this study can be found on the Open
Science Framework. Download the file
brouwer_deduplicated.csv and put it in the /data folder.
Execute simulation study
To reproduce the results presented in this study, run the following in your terminal:
```
run all simulations
sh run_all.sh ```
Extract results
Extract the results from the simulation output by executing the following in your CLI:
Rscript scripts/extract_simulation_results.R
The output (in the folder output/) consists of
- All inclusions in the dataset, ordered by their time to discovery - the time_to_discovery.csv file. The column row corresponds to the position of the inclusion in the original dataset. Note that the position starts at 1;
- A table with WSS and RRF values for every run - the wss_and_rrf_values.csv file;
- A plot with recall curves for all runs of this simulation study - the recall.png file.
License
The content in this repository is published under the MIT license.
Funding
This project is funded by a grant from the Centre for Urban Mental Health, University of Amsterdam, The Netherlands
Contact
For any questions or remarks, please send an email to the ASReview-team or Marlies Brouwer.
References
Brouwer, M. E., Williams, A. D., Kennis, M., Fu, Z., Klein, N. S., Cuijpers, P., & Bockting, C. L. H. (2019). Psychological theories of depressive relapse and recurrence: A systematic review and meta-analysis of prospective studies. Clinical Psychology Review, 74, 101773. https://doi.org/10.1016/j.cpr.2019.101773
Owner
- Name: ASReview
- Login: asreview
- Kind: organization
- Email: asreview@uu.nl
- Location: Utrecht University
- Website: www.asreview.ai
- Repositories: 32
- Profile: https://github.com/asreview
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