Decision Theory
RDS 284
Subject & Catalog Number
Course Information
Description
Introduces the standard model of decision-making under uncertainty, its conceptual foundations, challenges, alternatives, and methodological issues arising from the application of these techniques to health issues. Topics include von Neumann-Morgenstern and multi-attribute utility theory, Bayesian statistical decision theory, stochastic dominance, the value of information, judgment under uncertainty and alternative models of probability and decision making (regret theory, prospect theory, generalized expected utility). Applications are to preferences for health and aggregation of preferences over time and across individuals.
Class Notes
Students outside of HSPH must request instructor permission to enroll in this course.
Available for Harvard Cross Registration
