During this course, the key aspects and new developments of decision modeling for economic analysis will be considered. In particular, we will explore how the limitations of Markov models can be overcome using various modelling techniques including different options for introducing time-dependency into state transition models. How models can be made probabilistic to capture parameter uncertainty (including rationale, choosing parameter distributions, and types of uncertainty) will be covered. A taxonomy of modelling types will place the techniques described in this course within the broader universe of modelling methods. Participants should have an understanding of decision analysis.

PREREQUISITE: Previous attendance at the virtual ISPOR short course “Pharmacoeconomic Modeling–Applications” (27-28 September 2022), or equivalent knowledge, is required.