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Estimating the population utility function: A parametric Bayesian approach |
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| Authors: | R. Muzaffer MusalRefik Soyer Christopher McCabeSamer A. Kharroubi |
| Affiliation: | a Department of Computer Information Systems and Quantitative Methods, Texas State University-San Marcos, USA b Department of Decision Sciences, The George Washington University, USA c Institute of Health Sciences, University of Leeds, UK d Department of Mathematics, University of York, UK |
| Abstract: | In this paper we consider the health utility index mark II for quantifying and describing a population’s health related quality of life over health states composed of multiple attributes. This measure can be used for various purposes such as evaluating the severity of the effect of a disease or comparing different treatment methods. We present a Bayesian framework for population utility estimation and health policy evaluation by introducing a probabilistic interpretation of the multi-attribute utility theory (MAUT) used in health economics. In doing so, our approach combines ideas from the MAUT and Bayesian statistics and provides an alternative method of modeling preferences and utility estimation. |
| Keywords: | Bayesian inference Health services Multi-attribute utility theory OR in societal problem analysis Group decision making |
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