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313.632.01
Economic Evaluation III

Location
East Baltimore
Term
4th Term
Department
Health Policy and Management
Credit(s)
3
Academic Year
2017 - 2018
Instruction Method
TBD
Class Time(s)
W, F, 10:30 - 11:50am
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Greg de Lissovoy
Contact Email
Frequency Schedule
Every Year
Prerequisite

Economic Evaluation I (313.630) and Economic Evaluation II (313.631) or permission of the instructor

Description
Third course in the economic evaluation sequence. Examines advanced methods as well as areas of controversy. Explores methods for performing cost-effectiveness analysis using data from prospective studies and observational data. Examines alternatives to conventional cost-effectiveness analysis, including cost-benefit analysis, stated preference methods, and multi-criteria decision analysis. Emphasizes "hands-on" experience in conducting cost-effectiveness analysis based on data from prospective clinical trials as well as studies based on administrative databases such as health insurance paid claims files.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Perform a cost-effectiveness analysis based on data from a randomized clinical trial
  2. Demonstrate methods for cost-effectiveness analysis based on administrative data (e.g. health insurance paid claims database)
  3. Demonstrate the use of stated preference methods and multi-criteria decision analysis in the allocation of health care resources
  4. Describe the theoretical basis for cost-benefit analysis as differentiated from cost-effectiveness analysis
Jointly Offered With
Special Comments

A central activity in the course will involve analysis of data from a randomized clinical trial using Stata statistical software. Analytic tasks will include file creation, variable construction, calculation of descriptive statistics, statistical modeling using multivariate regression and bootstrapping, and presentation of findings in both tabular and graphic formats. Students should be comfortable performing these computing methods to satisfactorily complete the course.