The Importance of Accounting for Parameter Uncertainty in SF-6D Value Sets and Its Impact on Studies that Use the SF-6D to Measure Health Utility

Background: The parameter uncertainty in the six-dimensional health state short form (SF-6D) value sets is commonly ignored. There are two sources of parameter uncertainty: uncertainty around the estimated regression coefficients and uncertainty around the model’s specification. This study explores...

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Detalles Bibliográficos
Autores principales: Kharroubi, Samer A., Beyh, Yara, Abdul Fattah, Esmail, Young, Tracey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311987/
https://www.ncbi.nlm.nih.gov/pubmed/32498412
http://dx.doi.org/10.3390/ijerph17113949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311987/
https://www.ncbi.nlm.nih.gov/pubmed/32498412
http://dx.doi.org/10.3390/ijerph17113949

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