Author
Affiliation

University of Exeter

About

This book captures the reproduction of:

Allen, M., Bhanji, A., Willemsen, J., Dudfield, S., Logan, S., & Monks, T. A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic. PLoS One 15, 8 (2020). https://doi.org/10.1371%2Fjournal.pone.0237628.

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: Link to Zenodo once published.

Workflow for computational reproducibility assessment

Citation

APA: Heather A., Monks T. (2024). Reproducing Allen et al. 2020 (version 0.2.0). URL: https://github.com/pythonhealthdatascience/stars-reproduce-allen-2020

See CITATION.cff and citation_bibtex.bib for alternative formats.

License

See License page.