{"id":23586706,"url":"https://github.com/pythonhealthdatascience/stars_wp3_summary","last_synced_at":"2026-02-07T06:32:17.323Z","repository":{"id":258990134,"uuid":"843310805","full_name":"pythonhealthdatascience/stars_wp3_summary","owner":"pythonhealthdatascience","description":"Reflections from prospective and retrospective application of the STARS 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returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-27T04:13:46.226Z","updated_at":"2026-02-07T06:32:17.292Z","avatar_url":"https://github.com/pythonhealthdatascience.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e\n  \u003ca href=\"https://github.com/pythonhealthdatascience\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/pythonhealthdatascience/stars_wp1_summary/main/images/stars_banner.png\" alt=\"Sharing Tools and Artefacts for Reproducible Simulations in healthcare\"\u003e\u003c/a\u003e\n  \u003cbr\u003e\n  STARS Work Package 3 Summary\n  \u003cbr\u003e\n\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ci align=\"center\"\u003eReflections from prospective and retrospective application of the STARS framework\u003c/i\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003c!--TODO: add badges once made first release--\u003e\n    \u003c!--\u003ca href=\"#\"\u003e\u003cimg src=\"https://img.shields.io/github/v/release/pythonhealthdatascience/stars_wp1_summary\" alt=\"GitHub release\" /\u003e\u003c/a\u003e\n    \u003ca href=\"#\"\u003e\u003cimg src=\"https://img.shields.io/github/release-date/pythonhealthdatascience/stars_wp1_summary\" alt=\"GitHub release date\" /\u003e\u003c/a\u003e--\u003e\n    \u003ca href=\"#\"\u003e\u003cimg src=\"https://img.shields.io/github/last-commit/pythonhealthdatascience/stars_wp3\" alt=\"GitHub last commit\" /\u003e\u003c/a\u003e\n    \u003ca target=\"_blank\" href=\"https://github.com/pythonhealthdatascience/stars_wp1_summary/blob/main/LICENSE\"\u003e\u003cimg src=\"https://img.shields.io/badge/license-CC--BY--4.0-blue.svg\" alt=\"MIT license\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## Table of contents\n\n* [👋 About the repository](#-about-the-repository)\n* [📝 Citation](#-citation)\n* [💰 Funding](#-funding)\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n## 👋 About the repository\n\nIn 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:\n\n* Barriers and enables to applying the framework\n* Shortcomings of the framework\n\nWe will reflect on these, contrasting between applying the framework retrospectively and prospectively (including considering approximate time consumed).\n\nThe 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.\n\n[![Python](https://img.shields.io/badge/-python-black?style=for-the-badge\u0026logoColor=white\u0026logo=python\u0026color=3776AB)](https://www.python.org/)\n[![R](https://img.shields.io/badge/-r-black?style=for-the-badge\u0026logoColor=white\u0026logo=r\u0026color=276DC3)](https://www.r-project.org/)\n[![Stata](https://img.shields.io/badge/-stata-black?style=for-the-badge\u0026color=033560)](https://www.r-project.org/)\n\nRelevant GitHub repositories:\n\n| Repository | Description |\n| --- | --- |\n| [stars-eom-rcc](https://github.com/pythonhealthdatascience/stars-eom-rcc/) | Modifications to the \"Exeter Oncology Model: Renal Cell Carcinoma edition (EOM-RCC)\" as part of STARS work package 3. |\n\u003c!--TODO: add other repositories--\u003e\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n## 📝 Citation\n\nIf 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:\n\n| Member | ORCID | GitHub |\n| --- | --- | --- |\n| Amy Heather | [![ORCID: Heather](https://img.shields.io/badge/ORCID-0000--0002--6596--3479-brightgreen)](https://orcid.org/0000-0002-6596-3479) | https://github.com/amyheather |\n| Thomas Monks | [![ORCID: Monks](https://img.shields.io/badge/ORCID-0000--0003--2631--4481-brightgreen)](https://orcid.org/0000-0003-2631-4481) | https://github.com/TomMonks |\n| Alison Harper | [![ORCID: Harper](https://img.shields.io/badge/ORCID-0000--0001--5274--5037-brightgreen)](https://orcid.org/0000-0001-5274-5037) | https://github.com/AliHarp |\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n## 💰 Funding\n\nThis project is supported by the Medical Research Council [grant number [MR/Z503915/1](https://gtr.ukri.org/projects?ref=MR%2FZ503915%2F1)].","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars_wp3_summary","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonhealthdatascience%2Fstars_wp3_summary","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars_wp3_summary/lists"}