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An extension of the real option approach to the evaluation of health care technologies: the case of positron emission tomography

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  • Paolo Pertile

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Abstract

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Suggested Citation

  • Paolo Pertile, 2009. "An extension of the real option approach to the evaluation of health care technologies: the case of positron emission tomography," International Journal of Health Economics and Management, Springer, vol. 9(3), pages 317-332, September.
  • Handle: RePEc:kap:ijhcfe:v:9:y:2009:i:3:p:317-332 DOI: 10.1007/s10754-008-9053-z
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    References listed on IDEAS

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    1. Simon Eckermann & Andrew R. Willan, 2007. "Expected value of information and decision making in HTA," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 195-209.
    2. Palmer, Stephen & Smith, Peter C., 2000. "Incorporating option values into the economic evaluation of health care technologies," Journal of Health Economics, Elsevier, vol. 19(5), pages 755-766, September.
    3. Lasserre, Pierre & Moatti, Jean-Paul & Soubeyran, Antoine, 2006. "Early initiation of highly active antiretroviral therapies for AIDS: Dynamic choice with endogenous and exogenous learning," Journal of Health Economics, Elsevier, vol. 25(3), pages 579-598, May.
    4. A. Müller & D. Stratmann-Schöne & T. Klose & R. Leidl, 2002. "Overview of economic evaluation of positron-emission tomography," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 3(1), pages 59-65, March.
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    Cited by:

    1. repec:eee:hepoli:v:121:y:2017:i:8:p:870-879 is not listed on IDEAS
    2. Hui Zhang & Christian Wernz & Anthony D. Slonim, 2016. "Aligning incentives in health care: a multiscale decision theory approach," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 219-244, November.

    More about this item

    Keywords

    Cost–effectiveness analysis; Real options; Positron emission tomography; C61; D61; D81; I12;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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