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The Zero-Condition: A Simplifying Assumption in QALY Measurement and Multiattribute Utility

Author

Listed:
  • John M. Miyamoto

    (Department of Psychology, University of Washington, Seattle, Washington 98195)

  • Peter P. Wakker

    (Department of Medical Decision Making, LUMC 1 K6-R, Leiden University Medical Center, P.O. Box 9600, Leiden 2300 RC, The Netherlands)

  • Han Bleichrodt

    (iMTA, Erasmus University, P.O. Box 1738, Rotterdam, 3000 DR, The Netherlands)

  • Hans J. M. Peters

    (Department of Quantitative Economics, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands)

Abstract

This paper studies the implications of the "zero-condition" for multiattribute utility theory. The zero-condition simplifies the measurement and derivation of the Quality Adjusted Life Year (QALY) measure commonly used in medical decision analysis. For general multiattribute utility theory, no simple condition has heretofore been found to characterize multiplicatively decomposable forms. When the zero-condition is satisfied, however, such a simple condition, "standard gamble invariance," becomes available.

Suggested Citation

  • John M. Miyamoto & Peter P. Wakker & Han Bleichrodt & Hans J. M. Peters, 1998. "The Zero-Condition: A Simplifying Assumption in QALY Measurement and Multiattribute Utility," Management Science, INFORMS, vol. 44(6), pages 839-849, June.
    • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:6:p:839-849
    DOI: 10.1287/mnsc.44.6.839
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    References listed on IDEAS

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