Presentations will consist of dives into examples of R code for HTA where participants are welcome to download the code being discussed and test it out in real time.
Topics to be presented include efficient implementation of cohort Markov models, incorporating expert opinion into survival analysis, use of RShiny for user interface design, and infectious disease modelling.
In addition, on 29th June we will be holding a training day with two courses.
- The first is an introductory course aimed at Excel users familiar with decision trees and Markov models who would like to start transitioning to R. Attendees should have basic to intermediate level experience with R.
- The second course is an intermediate course on how to get the best out of R for HTA. This is aimed at those who have been using R for HTA for a few years but would like to improve their skills.