White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Modelling health state preference data using a non-parametric Bayesian method

Kharroubi, S. and McCabe, C. (2006) Modelling health state preference data using a non-parametric Bayesian method. UNSPECIFIED. (Unpublished)

[img] Text

Download (265Kb)


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.

Item Type: Monograph (UNSPECIFIED)
Keywords: Preference-based health measure; HUI 2; nonparametric methods
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Status: Unpublished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
URI: http://eprints.whiterose.ac.uk/id/eprint/10933

Actions (repository staff only: login required)