healthecon_shiny

Repository for an academic paper, tutorial and code related to the application of web application user interfaces to health economics.

View the Project on GitHub RobertASmith/healthecon_shiny

R-Shiny for Health Economists

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Robert Smith and Paul Schneider

Public Health Economics and Decision Science, Wellcome Trust Doctoral Training Center, ScHARR, University of Sheffield, UK

Contact: rasmith3@sheffield.ac.uk

Website: Dark Peak Analytics

This site contains all material related to the application of web based user interfaces (R-Shiny) to Health Economics and Decision Science. There are three main parts to the repository:

Rob & Paul have worked on a variety of projects using R-Shiny, ranging from economic models of physical activity & female genital mutilation, direct-acting oral anticoagulants, adherence interventions for cystic fibrosis and decision modelling for parkrunUK. They are keen to collaborate with others interested in improving transparency and reproducability in health economics. For more information see their website.

List of contributors (26/02/2020)

Rob and Paul are joint funded by the Wellcome Trust Doctoral Training Centre in Public Health Economics and Decision Science [108903] and the University of Sheffield.