Hernández Alava, M., Wailoo, A.J. and Ara, R. (2010) Tails from the Peak District: adjusted censored mixture models of EQ-5D health state utility values. Discussion Paper. HEDS Discussion Paper 10/08 .
Health state utility data generated using the EQ-5D instrument are typically right bounded at one with a substantial gap to the next set of observations, left bounded by some negative value, and are multi modal. These features present challenges to the estimation of the e¤ect of clinical and socioeconomic characteristics on health utilities. We present an adjusted censored model and then use this in a flexible, mixture modelling framework to address these issues. We demonstrate superior performance of this model compared to linear regression and Tobit censored regression using a dataset from repeated observations of patients with rheumatoid arthritis. We �nd that three latent classes are appropriate in estimating EQ-5D from function, pain and sociodemographic factors. Analysis of utility data should apply methods that recognise the distributional features of the data.
|Keywords:||Mixture models, latent class model, censored regression, EQ-5D, mapping|
|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:||12 Oct 2012 13:58|
|Last Modified:||09 Jun 2014 07:39|
|Identification Number:||HEDS Discussion Paper 10/08|