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.

July 23 - July 23, 2025

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:

  • Construct discrete-time microsimulation models in R

  • Visualize and analyze microsimulation outputs in R

  • Understand computational efficiency considerations in implementing a microsimulation

  • Understand the microsimulation model structure required to perform a probabilistic sensitivity analysis (PSA)

  • 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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