The EHDEN Academy, in collaboration with our guest lecturer Jeroen Jansen (Associate Professor at the Department of Clinical Pharmacy, University of California – San Francisco) and NICE (National Institute for Health and Care Excellence), is thrilled to announce the launch of our new course: Applied Cost-Effectiveness Modeling with R. The course aims to provide a comprehensive introduction to using R for model-based cost-effectiveness analysis, offering valuable insights for those interested in using R for economic modelling in health technology assessment.
R is a widely used and freely available language and environment for statistical computing and graphics. The course is designed to help participants understand how R can be used to perform model-based cost-effectiveness analysis with existing R packages as well as demonstrates ways in which it can improve reproducibility and transparency of model-based economic evaluations.
The course is organised into three modules that cover the implementation of the cohort discrete time state transition model (cDTSTM), commonly referred to as a Markov cohort model, and how to incorporate probabilistic sensitivity analysis (PSA) using the hesim R package. The use of R in health technology assessment (HTA) is growing, and the course demonstrates how using R for observational studies can integrate real-world evidence from EHDEN into economic models efficiently, leading to faster and better healthcare decisions.
We hope many more of you will also find this course beneficial and will add this to your existing portfolio of EHDEN Academy courses. You can enrol on the Academy via this link.