313.602.81
      
      Economic Evaluation II
    
    
    
    
Location
              Internet
          Term
              2nd Term
          Department
          Health Policy and Management
              Credit(s)
              3
          Academic Year
              2025 - 2026
          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
              Joseph Levy
          Contact Email
              
          Frequency Schedule
              Every Year
          Resources
      
  Prerequisite
              Economic Evaluation I (313.601.01 or 313.601.81)
          Enrollment Restriction
              Undergraduate students are not permitted in this course
          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 on the theory and methods taught in Economic Evaluation I to allow students to gain an understanding of intermediate topics in CEA. Provides students with experience of hands on development of decision trees. Focuses on having students become familiar with best practices in this growing field. Establishes the ability to critically appraise published work and construct simple cost-effectiveness models using Excel and other software. Prepares students for more complex modeling covered in Economic Evaluation III.
      
  Learning Objectives
Upon successfully completing this course, students will be able to:
          - Identify the key components of CEAs and critically review CEA and related literature
 - Construct decision tree and Markov models
 - Quantify, visualize and communicate results and uncertainty in CEA
 - Describe the role of health technology appraisal both within and outside the United States
 
Upon successfully completing this course, students will be able to:
      
  Methods of Assessment
          This course is evaluated as follows:
              - 25% Midterm
 - 35% Final Project
 - 30% Assignments
 - 10% Participation
 
Jointly Offered With