Journal
JOURNAL OF HEALTH ECONOMICS
Volume 26, Issue 3, Pages 597-612Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhealeco.2006.09.002
Keywords
preference-based health measure; SF-6D; nonparametric methods
Funding
- MRC [MC_U145080960] Funding Source: UKRI
- Medical Research Council [MC_U145080960] Funding Source: Medline
- Medical Research Council [MC_U145080960] Funding Source: researchfish
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This paper reports on the findings front applying a new approach to modelling health state valuation data. The approach applies a nonparametric model to estimate SF-6D health state utility values using Bayesian methods. The data set is the UK SF-6D valuation study where a sample of 249 states defined by the SF-6D (a derivative of the SF-36) was valued by a representative sample of the UK general population using standard gamble. The paper presents the results from applying the nonparametric, model and comparing it to the original model estimated using a conventional parametric random effects model. The two models are compared theoretically and in terms of empirical performance. The paper discusses the implications of these results for future applications of the SF-6D and further work in this field. (C) 2006 Elsevier B.V All rights reserved.
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