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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active-learning asreview machine-learning mega-meta
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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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  • Host: GitHub
  • Owner: asreview
  • License: mit
  • Language: R
  • Default Branch: main
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  • Size: 51.5 MB
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active-learning asreview machine-learning mega-meta
Created about 5 years ago · Last pushed over 3 years ago
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README.md

DOI

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

ASReview - Active learning for Systematic Reviews

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