Estimating health state utility values from discrete choice experiments—A QALY space model approach
Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The condit...
| Main Authors: | , , |
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| Format: | Journal Article |
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John Wiley & Sons Ltd.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/15116 |
| _version_ | 1848748807474380800 |
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| author | Gu, Y. Norman, Richard Viney, R. |
| author_facet | Gu, Y. Norman, Richard Viney, R. |
| author_sort | Gu, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The conditional logit is known for several limitations. In this paper, we propose two types of models based on the mixed logit: one using preference space and the other using quality-adjusted life year (QALY)space, a concept adapted from the willingness-to-pay literature. These methods are applied to a dataset collected using the EQ-5D. The results showcase the advantages of using QALY space and demonstrate that the preferred QALY space model provides lower estimates of the utility values than the conditional logit,with the divergence increasing with worsening health states. |
| first_indexed | 2025-11-14T07:10:55Z |
| format | Journal Article |
| id | curtin-20.500.11937-15116 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:10:55Z |
| publishDate | 2014 |
| publisher | John Wiley & Sons Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-151162017-09-13T15:04:06Z Estimating health state utility values from discrete choice experiments—A QALY space model approach Gu, Y. Norman, Richard Viney, R. Bayesian DCE EQ-5D QALY space Johnson’s SB mixed logit Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The conditional logit is known for several limitations. In this paper, we propose two types of models based on the mixed logit: one using preference space and the other using quality-adjusted life year (QALY)space, a concept adapted from the willingness-to-pay literature. These methods are applied to a dataset collected using the EQ-5D. The results showcase the advantages of using QALY space and demonstrate that the preferred QALY space model provides lower estimates of the utility values than the conditional logit,with the divergence increasing with worsening health states. 2014 Journal Article http://hdl.handle.net/20.500.11937/15116 10.1002/hec.3066 John Wiley & Sons Ltd. restricted |
| spellingShingle | Bayesian DCE EQ-5D QALY space Johnson’s SB mixed logit Gu, Y. Norman, Richard Viney, R. Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title | Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title_full | Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title_fullStr | Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title_full_unstemmed | Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title_short | Estimating health state utility values from discrete choice experiments—A QALY space model approach |
| title_sort | estimating health state utility values from discrete choice experiments—a qaly space model approach |
| topic | Bayesian DCE EQ-5D QALY space Johnson’s SB mixed logit |
| url | http://hdl.handle.net/20.500.11937/15116 |