HRP263
Advanced Decision Science Methods and Modeling in Health
Health Research and Policy
MED - School of Medicine
Course Description
Advanced methods currently used in published model-based cost-effectiveness analyses in medicine and public health, both theory and technical applications. Topics include: Markov and microsimulation models, model calibration and evaluation, and probabilistic sensitivity analyses. Prerequisites: a course in probability, a course in statistics or biostatistics, a course on cost-effectiveness such as HRP 392, a course in economics, and familiarity with decision modeling software such as TreeAge.
Grading Basis
MOP - Medical Option (Med-Ltr-CR/NC)
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
HRP263
is a
completion requirement
for: