Quantifying Parameter Uncertainty in EQ-5D-3L Value Sets and Its Impact on Studies That Use the EQ-5D-3L to Measure Health Utility
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DOI: 10.1177/0272989X15591966
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References listed on IDEAS
- JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
- Samer A. Kharroubi & Anthony O'Hagan & John E. Brazier, 2005. "Estimating utilities from individual health preference data: a nonparametric Bayesian method," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(5), pages 879-895, November.
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- Menglu Che & Eleanor Pullenayegum, 2023. "Efficient Designs for Valuation Studies That Use Time Tradeoff (TTO) Tasks to Map Latent Utilities from Discrete Choice Experiments to the Interval Scale: Selection of Health States for TTO Tasks," Medical Decision Making, , vol. 43(3), pages 387-396, April.
- Menglu Che & Feng Xie & Stephanie Thomas & Eleanor Pullenayegum, 2023. "Bayesian Models with Spatial Correlation Improve the Precision of EQ-5D-5L Value Sets," Medical Decision Making, , vol. 43(5), pages 587-594, July.
- Samer A. Kharroubi & Yara Beyh & Esmail Abdul Fattah & Tracey Young, 2020. "The Importance of Accounting for Parameter Uncertainty in SF-6D Value Sets and Its Impact on Studies that Use the SF-6D to Measure Health Utility," IJERPH, MDPI, vol. 17(11), pages 1-12, June.
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Keywords
health utility; parameter uncertainty; Bayesian methods;All these keywords.
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