This course will teach participants how to appropriately integrate survival analysis data in decision models using R. We will provide an overview of the available methods (e.g. partitioned survival analysis, multistate models, Markov/semi-Markov models) and the advantages and disadvantages of each. The implementation of these methods in R will be outlined. Course participants will be asked to complete simple survival analysis exercises in the context of decision modeling to familiarize with the main concepts. Finally, we will present more advanced examples using different types of data (patient-level, life tables, digitized data from published curves)

By the end of the course the participants will be able to:

 

• Understand the advantages and limitations of the different survival analysis methods when used in an economic evaluation context.
• Fit different parametric forms to survival data using R
• Fit competing risks model and multistate models in R
• Integrate the results of different survival analysis models in a decision modeling framework.

All R code used in the short course will be provided to participants for future use.