|RDS 285 - Decision Analysis Methods in Public Health and Medicine|
An intermediate-level course on methods and health applications of decision analysis modeling techniques. Topics include Markov models, microsimulation models, life expectancy estimation, cost estimation, deterministic and probabilistic sensitivity analysis, value of information analysis, and cost-effectiveness analysis.
Course Note: Familiarity with matrix algebra and elementary calculus may be helpful but not required; lab or section times to be announced at first meeting.
Course Prerequisites: (BIO200 or ID200 or BIO201) and (RDS280 or RDS286)
2.500 Credit hours
4.000 Lecture hours
1.500 Lab hours
Levels: Graduate - Non-Degree, Graduate
Schedule Types: Seminar
Health Policy & Management Department
Health Policy & Management, Risk & Decision Sciences