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Harvard School of Public Health



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Fall 2012
Aug 21, 2017
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RDS 284 - Decision Theory
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.

5.000 Credit hours
4.000 Lecture hours

Levels: Graduate - Non-Degree, Graduate, Graduate - Special Students
Schedule Types: Lecture

Health Policy & Management Department

Course Attributes:
Environmental Health, Health Policy & Management, Risk & Decision Sciences

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Release: 8.5.4