DARTH
Decision Analysis in R for Technology and Health
DARTH is an international collaboration focused on increasing health economic and decision analysis transparency and reproduceability by providing Open-Source R code.

Members:
- Fernando Alarid (Stanford University)
- Eva Enns (University of Minnesota)
- Hawre Jalal (University of Ottawa)
- Eline Krijkamp (Erasmus University)
- Petros Pechlivanoglou (University of Toronto)
- Myrium Hunnink (Erasmus and Harvard Univesity)
Activities:
- In person, virtual and hybrid short courses
- Tutorial publications
- R package production
References
2023
-
A tutorial on time-dependent cohort state-transition models in R using a cost-effectiveness analysis exampleMedical Decision Making, 2023
-
An introductory tutorial on cohort state-transition models in R using a cost-effectiveness analysis exampleMedical Decision Making, 2023
2020
-
A multidimensional array representation of state-transition model dynamicsMedical Decision Making, 2020
2019
-
A need for change! A coding framework for improving transparency in decision modelingPharmacoeconomics, 2019
2018
-
Microsimulation modeling for health decision sciences using R: a tutorialMedical Decision Making, 2018
2017
-
An overview of R in health decision sciencesMedical decision making, 2017