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A theory of medical decision making under uncertainty

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  • Edi Karni

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  • Edi Karni, 2009. "A theory of medical decision making under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 1-16, August.
    • Handle: RePEc:kap:jrisku:v:39:y:2009:i:1:p:1-16
    DOI: 10.1007/s11166-009-9071-3
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    References listed on IDEAS

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    1. Karni, Edi, 2006. "Subjective expected utility theory without states of the world," Journal of Mathematical Economics, Elsevier, vol. 42(3), pages 325-342, June.
    2. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    3. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    4. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, vol. 80(3), pages 353-374, June.
    5. Karni, Edi & Safra, Zvi, 2000. "An extension of a theorem of von Neumann and Morgenstern with an application to social choice theory," Journal of Mathematical Economics, Elsevier, vol. 34(3), pages 315-327, November.
    6. Sloan, Frank A. & Kip Viscusi, W. & Chesson, Harrell W. & Conover, Christopher J. & Whetten-Goldstein, Kathryn, 1998. "Alternative approaches to valuing intangible health losses: the evidence for multiple sclerosis1," Journal of Health Economics, Elsevier, vol. 17(4), pages 475-497, August.
    7. Atanu Saha, 1993. "Expo-Power Utility: A ‘Flexible’ Form for Absolute and Relative Risk Aversion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 905-913.
    8. Abdellaoui, Mohammed & Barrios, Carolina & Wakker, Peter P., 2007. "Reconciling introspective utility with revealed preference: Experimental arguments based on prospect theory," Journal of Econometrics, Elsevier, vol. 138(1), pages 356-378, May.
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    Citations

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    Cited by:

    1. Edi Karni & Moshe Leshno & Sivan Rapaport, 2014. "Helping patients and physicians reach individualized medical decisions: theory and application to prenatal diagnostic testing," Theory and Decision, Springer, vol. 76(4), pages 451-467, April.
    2. O’Callaghan, Patrick H., 2018. "Axioms for measuring utility on partial mixture sets," Journal of Mathematical Economics, Elsevier, vol. 77(C), pages 76-86.
    3. David Dillenberger & Andrew Postlewaite & Kareen Rozen, 2017. "Optimism and Pessimism with Expected Utility," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 1158-1175.
    4. Thomas Garcia & Sébastien Massoni, 2017. "Aiming to choose correctly or to choose wisely? The optimality-accuracy trade-off in decisions under uncertainty," Working Papers halshs-01631540, HAL.
    5. Gajdos, Thibault & Garrouste, Clémentine & Geoffard, Pierre-Yves, 2016. "The subjective value of a life with Down syndrome: Evidence from amniocentesis decision," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 59-69.
    6. David Dillenberger & Andrew Postlewaite & Kareen Rozen, 2011. "Optimism and Pessimism with Expected Utility, Third Version," PIER Working Paper Archive 13-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 26 Dec 2012.
    7. O'Callaghan, Patrick, 2016. "Measuring utility without mixing apples and oranges and eliciting beliefs about stock prices," MPRA Paper 69363, University Library of Munich, Germany.
    8. O'Callaghan, Patrick, 2011. "Context and Decision: Utility on a Union of Mixture Spaces," Economic Research Papers 270751, University of Warwick - Department of Economics.
    9. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    10. Azam, Nouman & Zhang, Yan & Yao, JingTao, 2017. "Evaluation functions and decision conditions of three-way decisions with game-theoretic rough sets," European Journal of Operational Research, Elsevier, vol. 261(2), pages 704-714.
    11. O'Callaghan, Patrick, 2017. "Axioms for Measuring without mixing apples and Oranges," MPRA Paper 81196, University Library of Munich, Germany.
    12. David Dillenberger & Andrew Postlewaite & Kareen Rozen, 2011. "Optimism and Pessimism with Expected Utility, Fourth Version," PIER Working Paper Archive 13-068, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Nov 2013.
    13. David Dillenberger & Andrew Postlewaite & Kareen Rozen, 2013. "Optimism and Pessimism with Expected Utility, Fifth Version," PIER Working Paper Archive 15-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 23 Feb 2015.
    14. Ingrid Burfurd & Tom Wilkening, 2018. "Experimental guidance for eliciting beliefs with the Stochastic Becker–DeGroot–Marschak mechanism," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(1), pages 15-28, July.
    15. David Dillenberger & Andrew Postlewaite & Kareen Rozen, 2011. "Optimism and Pessimism with Expected Utility, Second Version," PIER Working Paper Archive 12-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2012.
    16. O’Callaghan, Patrick, 2011. "Context and Decision: Utility on a Union of Mixture Spaces," The Warwick Economics Research Paper Series (TWERPS) 973, University of Warwick, Department of Economics.

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    More about this item

    Keywords

    Medical decision making; Medical treatment choice; I19; D81;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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