At the end of the course, participants will be able to:
• 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