Ratcliffe, J., Brazier, J., Tsuchiya, A., Symonds, T. and Brown, M. (2006) Estimation of a preference based single index from the sexual quality of life questionnaire (SQOL) using ordinal data. Discussion Paper. HEDS Discussion Paper (06/06). Health Economics
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There is increasing interest in using ordinal methods to estimate cardinal values for health states to calculate quality adjusted life years. This paper reports the estimation of models of rank data and discrete choice experiment (DCE) data to derive a preference-based index from a condition specific measure relating to sexual health and to compare the results to values generated from time trade-off valuation (TTO). The DCE data were analysed using a random effects probit model and the DCE predicted values were rescaled according to the highest and lowest predicted TTO values corresponding to the best and worst SQOL health states respectively. The rank data were analysed using a rank ordered logit model and re-scaled using two alternative methods. Firstly, re-scaling the rank predicted values using identical methods to those employed for DCE and secondly, re-scaling the rank model coefficients by dividing each level coefficient by the coefficient relating to death. The study raises some important issues about the use of ordinal data to produce cardinal health state valuations.
|Item Type:||Monograph (Discussion Paper)|
|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:||15 Jul 2010 09:50|
|Last Modified:||05 Jun 2014 06:47|
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Estimation of a preference based single index from the sexual quality of life questionnaire (SQOL) using ordinal data. (deposited 18 Jun 2010 15:23)
- Estimation of a preference based single index from the sexual quality of life questionnaire (SQOL) using ordinal data. (deposited 15 Jul 2010 09:50) [Currently Displayed]
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