Toward Improved Methods for Measurement of Utility: Automated Repair of Errors in Elicitations
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DOI: 10.1177/0272989X02239649
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Cited by:
- Schwappach, David L.B. & Strasmann, Thomas J., 2006. ""Quick and dirty numbers"?: The reliability of a stated-preference technique for the measurement of preferences for resource allocation," Journal of Health Economics, Elsevier, vol. 25(3), pages 432-448, May.
- Eve Wittenberg & Lisa Prosser, 2011. "Ordering errors, objections and invariance in utility survey responses," Applied Health Economics and Health Policy, Springer, vol. 9(4), pages 225-241, July.
- P. Stalmeier & A. Verheijen, 2013. "Maximal endurable time states and the standard gamble: more preference reversals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 971-977, December.
- Ruixuan Jiang & Thomas Kohlmann & Todd A. Lee & Axel Mühlbacher & James Shaw & Surrey Walton & A. Simon Pickard, 2021. "Increasing respondent engagement in composite time trade-off tasks by imposing three minimum trade-offs to improve data quality," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 17-33, February.
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