Using rank data to estimate health state utility models.

@article{McCabe2006UsingRD,
  title={Using rank data to estimate health state utility models.},
  author={Christopher J McCabe and J. E. Brazier and Peter J Gilks and Aki Tsuchiya and Jennifer Roberts and Anthony O'Hagan and Katherine Stevens},
  journal={Journal of health economics},
  year={2006},
  volume={25 3},
  pages={418-31}
}
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… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
45 Citations
27 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 45 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Conditional Logit analysis of qualitative choice behaviour, in Zarembka, P., (ed), Frontiers in Econometrics

  • D. Care. McFadden
  • 1974
Highly Influential
3 Excerpts

Guide to the methods Technology Appraisal. NICE England

  • S. Saigal, D. Feeny, P. Rosenbaum, W. Furlong, E. Burrows, B. Stoskopf
  • National Institute for Clinical Excellence,
  • 2004

Hausman’s test for the assumption “Independence of Irrelevant Alternatives

  • J. Weesie
  • http://www.fss.uu.nlsoc/iscore/stata/iia.hlp…
  • 2004

Multi - attribute and singleattribute utility functions for the Health Utilities Index Mark 3 system

  • W. Furlong, D. Feeny, G. W. Torrance, R. Barr, J. Horsman
  • Medical Care
  • 2002

Similar Papers

Loading similar papers…