ArticleHealth and quality of life outcomes2017
Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data.
Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Use of a Non-parametric Bayesian Method to Model Health State Preferences: An Application to Polish and Irish EQ-5D-5L Valuations.Frontiers in public health · 2022Article
- Modeling SF-6D Health Utilities: Is Bayesian Approach Appropriate?International journal of environmental research and public health · 2021Article
- 3125 steps to perfect health: a nonparametric approach to developing the EQ-5D-5L value set.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020Article
- Valuation of preference-based measures: can existing preference data be used to generate better estimates?Health and quality of life outcomes · 2018Article
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Authors and funding
1 author.
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Abstract
backgroundValuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately.
methodsData from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation.
resultsThe findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone.
conclusionIt is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.
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