May 13, 2025
Mastering Health Economic Modeling in R
This highly practical course outlines the computational and transparency advantages of using R for health economic modeling, particularly for those accustomed to Microsoft Excel. Participants will explore the application of R in health economics and outcomes research (HEOR) through hands-on exercises and real-world examples. Expert faculty, with experience in academia, national Health Technology Assessment (HTA) agencies (e.g., NICE, NCPE), and industry, will guide participants through key modeling techniques.
Technical Topics Include:
- Introduction to R for Health Economic Modeling – Understanding key advantages over Excel-based models
- Markov Models in R – From deterministic analysis to probabilistic sensitivity analysis (PSA) and expected value of perfect information (EVPI)
- Hands-on Applications – Implementing Markov models in R
- Advanced Modeling Tools – Overview of useful R packages for economic modeling
- Practical Case Studies in HEOR – Real-world decision-making applications
This Course Includes Practical Tools and Concepts That Can Be Immediately Applied, Including:
- Step-by-step guidance on implementing health economic models in R
- Best practices for transitioning from Excel to R for improved transparency and efficiency
- Practical exercises on Markov modeling and probabilistic sensitivity analysis
- Resources for further learning and development in R
The course consists of lectures, published case examples, and interactive hands-on coding exercises. Participants will be provided with materials, including model examples in R and guidance on further learning.
This course is designed for those with some familiarity with modelling techniques, such as the concepts of discrete time cohort Markov models and probabilistic sensitivity analysis, but familiarity with R coding is not required.
Attendees will require a laptop with RStudio (v1.1.0 or higher) and R (v4.2.1 or higher) downloaded and installed.
LEVEL: Introductory
TRACK: Economic Evaluation
This short course is offered in-person at the ISPOR 2025 conference. Separate registration is required. Visit the ISPOR 2025 Program page to register and learn more.
FACULTY MEMBERS
Schedule:
LENGTH: 4 Hours | Course runs 1 day
Sunday, 13 May 2025 | Course runs 1 Day
8:00am-12:00pm Eastern Daylight Time (EDT)
ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.