July 19: Learning and Applying Discrete Event Simulation- Virtual

July 19, 2023

Back to all short courses

Learning and Applying Discrete Event Simulation

LEVEL: Introductory
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 1 day

Register Here


Wednesday, 19 July 2023 | Course runs 1 day
15:00PM-19:00PM CEST
09:00AM-13:00PM EDT
13:00PM-17:00PM UTC

Click for time zone conversion

Discrete event simulations can represent the complex dynamics of today’s clinical practice, but novice modelers might perceive them as complex and therefore decide not to utilize their potential.

To overcome this challenge and contribute to a new generation of modelers familiar with the flexibility offered by discrete event simulation, this course will cover all the basics up to developing and analyzing discrete event simulations. Using ISPOR-SMDM Modeling Task Force Reports as a starting point, this course will discuss the practical steps involved in the modeling process, different types of evidence that can be utilized, alternative approaches for implementing competing events, and how to reflect different types of patient variation. A single case study will be used throughout several hands-on exercises, in which a simple three-state discrete event simulation will be extended into a comprehensive health economic model, and probabilistic analysis is performed. R will be used for all exercises, and several ready-to-use scripts will be provided. Therefore, participants will not only leave the course with a running discrete event simulation, but they will also be equipped with the knowledge and tools required to develop discrete event simulations for their own projects. Participants who wish to gain hands-on experience are required to bring their laptops with RStudio installed. Further information and prereading materials will be provided closer to the course date.



Koen Degeling, MSc, PhD
Scientific Director & Decision-Analytic Modeling Lead
Lumen Value & Access, A Healthcare Consultancy Group Company
Amsterdam, Netherlands

Hendrik Koffijberg, MSc, PhD
Associate Professor, Health Technology Assessment
University of Twente
Enschede, Netherlands


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now