📄 List of health economics R packages.

R package for microsimulation

The survdigitzerR digitizes published KM curves and extracts survival times and events to be used as input to a digitization algorithm to generate pseudo individual patient level data. The survdigitzeR package is currently under development.

A repository to include all the R code for the examples in the book R for HTA

🌳🌳 Lightweight cost-effectiveness analysis using decision trees.

An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.

💚 💛 ❤️ An R package to calculate time-dependent person cost and health functions e.g. quality-adjusted life-years with discounting.

Reproducible cost-effectiveness modeling

Collection of R Packages that support analysis for the purposes of Health Technology Assessment (HTA)

An introduction book to doing standard health economics and HTA in R.

Global Health Policy Simulation model (Health-GPS)

R package that provides models and functions to fit non-standard NMAs: piecewise exponential models and fractional polynomial models for grouped survival data (derived from digitized Kaplan-Meier curves).

Health Economics simulation

[UNDER DEVELOPMENT] R package implementing the DAEDALUS model for projecting and optimising health, social, and economic costs of a pandemic.

PSA-ReD is a novel approach to the traditional scatterplot for displaying the results of Probabilistic Sensitivity Analysis. Here, we provide the script and an example dataset so that everyone can use this new and improved approach. This new approach is described in detail in the paper titled "Increasing the information provided by probabilistic…

A repository for the Advanced Programming Tutorial that teaches you how to develop an interactive model using Shiny

IPECAD open-source model

Replicated code and exercises from 'Evidence Synthesis for Decision Making in Healthcare', Welton J., et al. 2012

Health Economics in R Hackathon, Imperial College 2019

The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package…