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Bayesian methods for health‐related decision making
Author(s) -
Kadane Joseph B.
Publication year - 2005
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2036
Subject(s) - bayesian probability , computer science , subjectivity , decision theory , management science , bayesian inference , bayesian statistics , medical decision making , decision analysis , data science , operations research , artificial intelligence , epistemology , statistics , mathematics , medicine , economics , philosophy , family medicine
This article reviews the basics of Bayesian decision theory, and comments on its use in medical decision making. It emphasizes the subjectivity of the probability and utility inputs, and the desirability, in certain contexts, of representing several decision makers, each with his or her own probabilities and utilities. Applications and ethical considerations are also discussed. A brief bibliography gives pointers to the literature. Copyright © 2005 John Wiley & Sons, Ltd.