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Game Theory: For Adults Only

Published online by Cambridge University Press:  21 June 2016

Mary D. Nettleman
Mary D. Nettleman*
Affiliation:
Division of Clinical Epidemiology, Department of Internal Medicine, The University of Iowa Hospitals and Clinics, Iowa City, Iowa
*
Assistant Professor of Medicine, Department of Internal Medicine, Division of Clinical Epidemiology, CAIOH, The University of Iowa Hospitals and Clinics, Iowa City, IA 52242
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Extract

Our earliest memories include the games played with friends and parents, sometimes for fun, sometimes for education. Similarly, the roots of decision analysis can be traced to game theory. Game theory is the study of probabilities and outcomes that occur when two or more players interact in a fixed setting. Although not widely applied to health care, an understanding of game theory is fundamental to decision analysis.

We have all attempted game theory at an informal level. In a game of chess, players try not only to see which move is best, but also to predict how an opponent will react to the move. In Monopoly, a player might have to decide if it is profitable to buy Boardwalk if he or she does not own Park Place. In the latter situation, the player must estimate the probability that the random role of the dice will enable him or her to land on Park Place before his or her opponents or that an opponent would not elect to buy the property if given the opportunity.

Type
Special Sections
Information
Infection Control & Hospital Epidemiology , Volume 10 , Issue 5 , May 1989 , pp. 222 - 224
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1989

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References

1. von, Neumann. Morgenstern: Theory of Games and Economic Behavior. Princeton. NJ. Princeton University Press, 1944.Google Scholar
2. Nettleman, MD: The effectiveness of medical care. Infect Control Hosp Epidemiol. 1988;9:510–512.Google Scholar
3. Nettleman, MD: Practical applications of decision analysis. Infect Control Hosp Epideiniol. 1988;9:214–218.Google Scholar
4. Fedson, DS: Immunizations for health care workers and patients in hospitals, in Wenzel, R (ed): Prevention and Control of Nasocornial Baltimore, Williams and Wilkins, 1987.Google Scholar
5. Milinski, M, TTT FOR TAT in sticklebacks and the evolution of cooperation. Nature. 1987;325:433–434.Google Scholar
6. Thomas, LC, Games, Theory and Applications. New York, John Wiley & Sons, 1984.Google Scholar
7. Liu, C. Stinnett, RS: Control Theory in Mathematical Economics. New York, Marcel Dekker Inc, 1979.Google Scholar
8. Diamond, GA, Rozanski, A, Stetter, M: Playing doctor: Application of game theory to medical decision-making. J Chron Dis. 1986;39:669–677.Google Scholar
9. Weinstein, MC, Fineberg, HV, Elstein, AS, et al: Clinical Decision Analysis. Philadelphia, WB Saunders Co, 1980.Google Scholar
10. Eckman, MH, Rinker, SG: Let's decide who's playing, doctor! J Chron Dis. 1986;39:679–800.Google Scholar