Kharroubi, S. and McCabe, C. (2006) Modelling health state preference data using a non-parametric Bayesian method. UNSPECIFIED. (Unpublished)
Abstract
This paper reports on the findings from the application of a recently reported approach to modelling health state valuation data. The approach applies a nonparametric model to estimate the revised version of the Health Utilities Index Mark 2 (HUI 2) health state valuation algorithm using Bayesian methods. The data set is the UK HUI 2 valuation study where a sample of 51 states defined by the HUI 2 was valued by a sample of the UK general population using standard gamble. The paper presents the results from applying the nonparametric model and compares these to the original model estimated using a conventional parametric random effects model. The two models are compared in terms of their predictive performance. The paper discusses the implications of these results for future applications of the HUI 2 and further work in this field.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Keywords: | Preference-based health measure; HUI 2; nonparametric methods |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Health Economics and Decision Science > HEDS Discussion Paper Series |
Depositing User: | ScHARR / HEDS (Sheffield) |
Date Deposited: | 22 Jun 2010 13:56 |
Last Modified: | 08 Jun 2014 14:56 |
Status: | Unpublished |
Identification Number: | HEDS Discussion Paper 06/01 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:10933 |