Skip to main content
Article thumbnail
Location of Repository

Using rank data to estimate health state utility models

By C. McCabe, J. Brazier, P. Gilks, A. Tsuchiya, J. Roberts, A. O'Hagan and K. Stevens

Abstract

In this paper we report the estimation of conditional logistic regression models for the Health Utilities Index Mark 2 and the SF-6D, using ordinal preference data. The results are compared to the conventional regression models estimated from standard gamble data, and to the observed mean standard gamble health state valuations. For both the HUI2 and the SF-6D, the models estimated using ordinal data are broadly comparable to the models estimated on standard gamble data and the predictive performance of these models is close to that of the standard gamble models. Our research indicates that ordinal data have the potential to provide useful insights into community health state preferences. However, important questions remain

Publisher: Elsevier
Year: 2006
OAI identifier: oai:eprints.whiterose.ac.uk:3535

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.