STARS Work Package 1 Summary

Summary of the six computational reproducibility assessments conducted as part of STARS Work Package 1.

Table of contents

• 👋 About the repository
• 📖 View book locally
• 📝 Citation
• 💰 Funding

👋 About the repository

In work package 1, we assessed the computational reproducibility of eight discrete-event simulation papers with models in Python and R. The reproductions and findings are summarised at: https://pythonhealthdatascience.github.io/stars_wp1_summary/.

Relevant GitHub repositories:

Repository	Description
stars-reproduction-protocol	Latex files for reproduction protocol
stars-reproduce-allen-2020	Test run of reproducibility protocol on Allen et al. 2020
stars-reproduction-template	Template for assessment of computational reproducibility
stars-reproduce-shoaib-2022	Reproduction study 1: Shoaib and Ramamohan 2022 (Python)
stars-reproduce-huang-2019	Reproduction study 2: Huang et al. 2019 (R)
stars-reproduce-lim-2020	Reproduction study 3: Lim et al. 2020 (Python)
stars-reproduce-kim-2021	Reproduction study 4: Kim et al. 2021 (R)
stars-reproduce-anagnostou-2022	Reproduction study 5: Anagnostou et al. 2022 (Python)
stars-reproduce-johnson-2021	Reproduction study 6: Johnson et al. 2021 (R)
stars-reproduce-hernandez-2015	Reproduction study 7: Hernandez et al. 2015 (Python + R)
stars-reproduce-wood-2021	Reproduction study 8: Wood et al. 2021 (R)

📖 View book locally

The website is a quarto book hosted with GitHub pages. If you want to view the book locally on your own machine you will need to:

1. Clone GitHub repository

git clone https://github.com/pythonhealthdatascience/stars_wp1_summary.git

2. Create the virtual environment

virtualenv stars_wp1_summary
source stars_wp1_summary/bin/activate
pip install -r requirements.txt

3. Create the book

quarto render

4. Open the book in your browser (open the _book/index.html file).

📝 Citation

If you wish to cite this repository, please refer to the citation file CITATION.cff, and the auto-generated alternatives citation_apalike.apa and citation_bibtex.bib. Authors:

Member	ORCID	GitHub
Amy Heather		https://github.com/amyheather
Thomas Monks		https://github.com/TomMonks
Alison Harper		https://github.com/AliHarp

💰 Funding

This project is supported by the Medical Research Council [grant number MR/Z503915/1].