The GitHub repository for this Jekyll-powered website can be found here.
hesim is an R package for health economic simulation modeling and decision analysis that provides a general framework for integrating statistical analyses with economic evaluation. The package currently supports N-state partitioned survival models and state-transition models, as well as individualized cost-effectiveness analysis. It is designed for high performance simulation modeling including microsimulation and probabilistic sensitivity analysis with core code written in C++ (Website).
The IVI-NSCLC model is an open-source simulation model for assessing the value of sequences of treatment to treat patients with epidermal growth factor receptor (EGFR) positive non-small cell lung cancer (NSCLC). You can can interact with the model in a number of ways:
- iviNSCLC R package: an R package for running the IVI-NSCLC model.
- IVI-NSCLC basic interface: a general audience web application allowing those who are not experts in health economics to run the model and learn more about value assessment.
- IVI-NSCLC advanced interface: a web application that allows users full control over the model for performing cost-effectiveness and multi-criteria decision analyses.
The IVI-RA model is an open-source individual patient simulation for assessing the value of disease-modifying anti-rheumatic drugs (DMARDs) used to treat rheumatoid arthritis. You can interact with the model in a number of ways:
- iviRA package: an R package for running the model.
- IVI-RA Model Interface: An R Shiny web interface for running the model online with full control over treatments, the patient population, model parameters, model structures, and time horizon.
- IVI-RA Value Tool: An R Shiny web application providing a more streamlined experience for users with less experience in decision-analytic modeling and rheumatoid arthritis.
An R Shiny web application that aids diagnosis of skeletal dysplasias based on clinical features (link). A tutorial supplementing our RSNA education exhibit can be found here.
Plots of parametric survival distributions (link). Details on distributions used in R can be found here.