Adjunct professor Uwe Siebert is teaching his annual class RDS286: Decision Analysis in Clinical Research this July. The course introduces students to decision analysis and cost effectiveness in a clinical context. Topics covered in the first half of the course include the use of probability to express uncertainty, Bayes’ theorem and the evaluation of diagnostic test strategies, sensitivity analysis, and utility theory to value health outcomes. The second part of the course focuses on the methods of cost-effectiveness analysis, and also provides students with an opportunity to debate the ethical assumptions underlying these methods.
Dr. Siebert is an Adjunct Professor of Health Policy and Management at the Harvard Chan School. He is also Professor and Chair of the Department of Public Health, Health Services Research at Health Technology Assessment at the University for Health Sciences, Medical Informatics and Technology (UMIT) in Tirol, Austria.