313.603.81
Economic Evaluation III
Location
Internet
Term
3rd Term
Department
Health Policy and Management
Credit(s)
3
Academic Year
2021 - 2022
Instruction Method
Asynchronous Online with Some Synchronous Online
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Emmanuel Drabo
Contact Email
Frequency Schedule
Every Year
Resources
Prerequisite
Economic Evaluation I (313.601) and II (313.602)
Cost-effectiveness analysis (CEA) is a multidisciplinary science which aims to systematically and rigorously compare health interventions to reach optimal decision-making. Rooted in economic theory, decision science and statistics, CEA (and related methodologies) continue to evolve into a diverse toolkit of techniques that allow us to better quantify costs and effects of healthcare technologies and public health interventions.
Builds upon the theoretical concepts taught in Economic Evaluation I-II by providing advanced content in the areas of decision analysis, cost-effectiveness, and alternative approaches of modeling research questions for these fields. Include approaches for calculation of costs and effectiveness measures using standard modeling methods. Compares outputs as a result of decision tree and Markov modeling and introduces sensitivity analysis. Includes group projects to produce a well-thought model on a topic of their own choosing in decision analysis or cost-effectiveness.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Differentiate between decision analysis and cost-effectiveness analysis modeling methods
- Determine the costs, effectiveness measures, and health outcomes associated with economic evaluation of public health topics
- Construct decision trees and Markov models
- Produce valid comparative results of economic evaluation(s)
- Analyze uncertainty through the use of Bayesian multivariate probabilistic sensitivity analysis
Methods of Assessment
This course is evaluated as follows:
- 30% Lab Assignments
- 30% Final Exam
- 40% Group Project(s)
Enrollment Restriction
Undergraduate students are not permitted in this course
Jointly Offered With