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Activity Number:
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202
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #303675 |
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Title:
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Estimating the Population Utility Function: A Parametric Bayesian Approach
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Author(s):
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Rasim M. Musal*+
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Companies:
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Texas State University
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Address:
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404 Rio Grande Street apt 209, Austin, TX, 78701,
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Keywords:
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Utility ; Group ; preferences ; Quality of life
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Abstract:
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Health Related Quality of Life (HRQoL) is a method to measure the perceived physical and mental health over time, as described by the CDC. This measure can be used for various purposes such as evaluating the severity of the effect of a disease or comparing treatment methods. There exist alternate HRQoL measurements. In this paper we consider the Health Utility Index Mark II (HUI2) to quantify and describe a population's HRQoL over health states which are composed of multiple attributes. 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) approach used in health economics. In so doing, our approach combines ideas from MAUT approach of Raiffa and Keeney (1976) and Bayesian statistics and provides an alternate method of modeling preferences.
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- Authors who are presenting talks have a * after their name.
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