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Reflections from prospective and retrospective application of the STARS framework

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Sharing Tools and Artefacts for Reproducible Simulations in healthcare
STARS Work Package 3 Summary

Reflections from prospective and retrospective application of the STARS framework

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👋 About the repository

In work package 3, we are aiming to apply the STARS framework in several real-life case studies. For each case study, we are tracking the:

  • Barriers and enables to applying the framework
  • Shortcomings of the framework

We will reflect on these, contrasting between applying the framework retrospectively and prospectively (including considering approximate time consumed).

The case studies are varied in their disciplines, methods and languages. They include discrete-event simulation, but also expand to broader applications with simulation and analysis for a health technology assessment, and in health economics.

Python R Stata

Relevant GitHub repositories:

Repository Description
stars-eom-rcc Modifications to the "Exeter Oncology Model: Renal Cell Carcinoma edition (EOM-RCC)" as part of STARS work package 3.


📝 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 ORCID: Heather https://github.com/amyheather
Thomas Monks ORCID: Monks https://github.com/TomMonks
Alison Harper ORCID: Harper https://github.com/AliHarp


💰 Funding

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

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