Microsimulation Modeling in R
This hands-on course will teach you how to implement discrete-time individual-based state transition models in R for cost-effectiveness analysis purposes.
Course Faculty:
Petros Pechlivanoglou, PhD
Senior Scientist, Child Health Evaluation Sciences
The Hospital for Sick Children Research Institute
Canada
Eline Krijkamp, PhD
Assistant Professor, Health Technology Assessment
Erasmus School of Health Policy & Management
Netherlands
Learning outcomes:
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Construct discrete-time microsimulation models in R
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Visualize and analyze microsimulation outputs in R
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Understand computational efficiency considerations in implementing a microsimulation
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Understand the microsimulation model structure required to perform a probabilistic sensitivity analysis (PSA)
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Appreciate the advantages and challenges of using R in decision modeling
Register here. Regular Registration rates good through 16 July, 2025.
|
Regular Registration |
Late Registration |
Regular Member |
149 |
179 |
Trainee/Student/LMIC/Bridge/Emeritus Member |
49 |
59 |
Non-Member |
375 |
450 |
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July 23 - July 23, 2025
MDM Journal

MDM offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health policy development.