During this course, the key aspects and new developments of decision modeling for economic analysis will be considered. How models can be made probabilistic to capture parameter uncertainty (including rationale, choosing parameter distributions, and types of uncertainty) will be covered. How to analyze and present the results of probabilistic models, how the results of probabilistic decision modeling should be interpreted, and how decisions should be made (including decisions with uncertainty and expected value of perfect information [EVPI]), will be presented. Specific examples using Excel programming will be used to illustrate concepts. Participants should have an understanding of decision analysis.