About
This book captures the reproduction of:
Kim LG, Sweeting MJ, Armer M, Jacomelli J, Nasim A, Harrison SC. Modelling the impact of changes to abdominal aortic aneurysm screening and treatment services in England during the COVID-19 pandemic. PLoS ONE 16(6): e0253327 (2021). https://doi.org/10.1371/journal.pone.0253327.
Use the navigation bar above to view:
- Original study - the original study article and associated artefacts.
- Reproduction - code and documentation from reproduction of the model.
- Evaluation - describes model reproduction success and compares original study against guidelines for sharing research, criteria for journal reproducibility guidelines, and article reporting guidelines.
- Logbook - chronological entries detailing reproduction work.
- Summary - summary of the computational reproducibility assessment.
Project team
Conducting this reproduction:
Providing support during the reproduction:
Other members of the team on STARS:
Protocol
The protocol for this work is summarised in the diagram below and archived on Zenodo:
Heather, A., Monks, T., Harper, A., Mustafee, N., & Mayne, A. (2024). Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS. Zenodo. https://doi.org/10.5281/zenodo.12179846.
Citation
APA: Heather A., Monks T., Harper A. (2024). STARS: Computational reproducibility of Kim et al. 2021 (version 0.2.0). URL: https://github.com/pythonhealthdatascience/stars-reproduce-kim-2021
See CITATION.cff and citation_bibtex.bib for alternative formats.
License
See License page.