The course is about advanced methods for estimation and uncertainty of cost-effectiveness statistics. The focus is on techniques to create and explain economic information in person-level data (e.g., from a clinical trial or an administrative data set). Students must have taken HAD5730H and be familiar with statistical techniques like regression. Upon completing this course, participants will be able to create and explain the results of a cost-effectiveness analysis of person-level data.

Objectives: this course is designed to attain three general objectives as well as a series of specific competency objectives: 1) To introduce learners to regression as a technique for creating cost-effectiveness estimates. 2) To introduce learners to regression as a technique for handling uncertainty in cost-effectiveness analysis. 3) To acquaint learners with advanced techniques from regression that can be applied to cost-effectiveness analysis.

Upon completion of this course, learners will be able to: 1) Have a better understanding of economic evaluations and their potential roles. 2) Identify multiple ways of creating cost-effectiveness estimates and characterizing their uncertainty; understand their strengths and limitations. 3) Analyze person-level cost-and-effect data in a way that improves the chances of it being published. 4) Explain the results of their cost-effectiveness analysis in a way that improves the chances of it being understood. 5) Write the "economics" section of a grant proposal (e.g., CIHR) in a way that improves the chances of it being funded.