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stars_wp3_summary

Reflections from prospective and retrospective application of the STARS framework

https://github.com/pythonhealthdatascience/stars_wp3_summary

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords from Contributors

simulation-model
Last synced: 6 months ago · JSON representation ·

Repository

Reflections from prospective and retrospective application of the STARS framework

Basic Info
  • Host: GitHub
  • Owner: pythonhealthdatascience
  • License: cc-by-4.0
  • Language: TeX
  • Default Branch: main
  • Homepage:
  • Size: 257 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

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

Reflections from prospective and retrospective application of the STARS framework

GitHub last commit MIT license

Table of contents



👋 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. | <!--TODO: add other repositories-->



📝 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].

Owner

  • Name: pythonhealthdatascience
  • Login: pythonhealthdatascience
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
title: STARS Work Package 3 Summary
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Amy
    family-names: Heather
    email: a.heather2@exeter.ac.uk
    affiliation: University of Exeter Medical School, Exeter, UK
    orcid: 'https://orcid.org/0000-0002-6596-3479'
  - given-names: Thomas
    family-names: Monks
    email: t.m.w.monks@exeter.ac.uk
    affiliation: University of Exeter Medical School, Exeter, UK
    orcid: 'https://orcid.org/0000-0003-2631-4481'
  - given-names: Alison
    family-names: Harper
    email: a.l.harper@exeter.ac.uk
    affiliation: University of Exeter Business School, Exeter, UK
    orcid: 'https://orcid.org/0000-0001-5274-5037'
repository-code: >-
  https://github.com/pythonhealthdatascience/stars_wp1_summary
abstract: >-
  Reflections from prospective and retrospective application of the STARS
  framework.
license: CC-BY-4.0
# TODO: Manually update with each GitHub release (start with 0.1.0)
version: '0.1.0'
date-released: '2024-10-03'

GitHub Events

Total
  • Push event: 3
Last Year
  • Push event: 3

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 20
  • Total Committers: 2
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.05
Past Year
  • Commits: 20
  • Committers: 2
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.05
Top Committers
Name Email Commits
amyheather a****2@e****k 19
cffconvert GitHub Action c****t 1
Committer Domains (Top 20 + Academic)
exeter.ac.uk: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
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  • Total pull requests: 0
  • Average time to close issues: N/A
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  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

.github/workflows/cff_convert.yaml actions
  • actions/checkout v4 composite
  • citation-file-format/cffconvert-github-action 2.0.0 composite