hta_acceptance_living_document

RMarkdown file describing current guidance on R models as economic evidence in HTA submissions

https://github.com/dark-peak-analytics/hta_acceptance_living_document

Science Score: 44.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

RMarkdown file describing current guidance on R models as economic evidence in HTA submissions

Basic Info
  • Host: GitHub
  • Owner: dark-peak-analytics
  • Language: HTML
  • Default Branch: main
  • Size: 6.87 MB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 1
  • Releases: 1
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Citation

README.md

HTAacceptanceliving_document

RMarkdown file describing current guidance on R models as economic evidence in HTA submissions

view at https://dark-peak-analytics.github.io/HTAacceptanceliving_document/

Owner

  • Name: Dark Peak Analytics
  • Login: dark-peak-analytics
  • Kind: organization
  • Email: contact@darkpeakanalytics.com
  • Location: United Kingdom

Consulting at the intersection of health economics and data science.

Citation (CITATION.cff)

cff-version: v0.0.99
message: "If you use this software, please cite it as below."
authors:
- family-names: Hart
  given-names: Rose
orcid: https://orcid.org/0000-0001-7302-2559
title:dark-peak-analytics/HTA_acceptance_living_document: First draft
version: v0.0.9999
date-released: 2025-03-20

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Last Year
  • Create event: 4
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