Research & Publications
Committed to Open Science and Reproducible Research. We believe that better methods lead to better healthcare decisions. A core pillar of Dark Peak Analytics is our contribution to the global research community.
Below, you’ll find a library of our peer-reviewed publications and collaborative projects. By sharing our findings and code, we aim to foster a more transparent, reproducible, and innovative environment for health economic modeling.
Selected Publications
HTA Acceptance Living Document
Living Document • Ongoing
READ PAPERThe price of precision: trade-offs between usability and validity in the WHO Health Economic Assessment Tool for walking and cycling
Public Health • 2021
READ PAPERSocial tariffs and democratic choice–do population-based health state values reflect the will of the people?
Health Economics • 2020
READ PAPERMaking health economic models Shiny: A tutorial
Wellcome Open Research • 2020
READ PAPERSocioeconomic inequalities in distance to and participation in a community-based running and walking activity: A longitudinal ecological study of parkrun 2010 to 2019
Health & Place • 2021
READ PAPER
Talks & Presentations
Living HTA: Automating HTA with R
EARL Conference • 7th Sept 2022
Living HTA: Automating HTA with R - R for HTA 2022 Workshop
R-HTA Conference • 21st May 2022
Living HTA: Automating HTA with R
University of Sheffield Guest Talk • 18th May 2022
The potential of RShiny User Interfaces to Support Health Economic Decision Making
R-HTA LMIC Conference • 23rd Feb 2022
Making Erasmus MC Shiny
Erasmus MC, Netherlands • 10th Feb 2022
Open Source
We believe in transparent research.
Dark Peak Analytics is committed to open science. Our code, models, and tools are available on GitHub for the community to review, use, and contribute to.
VISIT OUR GITHUB