About
This book captures the reproduction of:
Huang S, Maingard J, Kok HK, Barras CD, Thijs V, Chandra RV, Brooks DM and Asadi H. Optimizing Resources for Endovascular Clot Retrieval for Acute Ischemic Stroke, a Discrete Event Simulation. Frontiers in Neurology 10, 653 (2019). https://doi.org/10.3389/fneur.2019.00653.
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 Huang et al. 2019 (version 0.2.0). URL: https://github.com/pythonhealthdatascience/stars-reproduce-huang-2019
See CITATION.cff and citation_bibtex.bib for alternative formats.
License
See License page.