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Decision Making with Prostate Cancer: A Multiple-Objective Model with Uncertainty

Paul Merage School of Business, University of California, Irvine, California 92697
jsimon05{at}merage.uci.edu

A patient who has been diagnosed with prostate cancer must make a difficult treatment decision. The available alternatives have varying cure rates and probabilities of side effects over a period of many years. This paper describes a well-informed, objective, and personalized model for comparing treatments to help a patient make the best treatment decision.

Key Words: health care; treatment; utility-preference; multiattribute; applications; decision analysis