Using R for Pharmacoeconomic Modeling and Simulation

The workshop is offered in a hybrid format in which online lectures are blended with interactive lectures. This introduces you to the methods of decision modeling for health care applications. It discusses the role of decision analytic models for economic evaluation, modeling approaches, key elements of decision analytic modelling (probabilities, expected values), development of a decision analytic models and interpreting decision model outputs.

The goal of this workshop is to provide participants with the knowledge base and skills required to efficiently use R computational software in pharmacoeconomic modeling and simulation. The workshop walks you through the theory and practice of state-transition (Markov) models, and structures used to represent events over time.

Upon completion of this course, participants will be able to:

• Understand the role of Pharmacoeconomics in medical decision making.
• Identify the role of decision analytic models for economic evaluation
• Describe the different modelling approaches used in pharmacoeconomic evaluation
• State the stages of development of a decision analytic model
• Evaluate the quality of a pharmacoeconomic evaluation study
• Analyze the transferability of Economic Evaluation Results Between Countries
• Create a state-transition model using R software
• Interpret decision model outputs

Dr. Mohamed Kamal

Dr. Omnia Hassaniean

Dr. Mohamed Kamal

Dr. Omnia Hassaniean

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