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of 6
pro vyhledávání: '"Suzana Karim"'
Publikováno v:
Health and Quality of Life Outcomes, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract Background Preference heterogeneity in health valuation has become a topic of greater discussion among health technology assessment agencies. To better understand heterogeneity within a national population, valuation studies may identify lat
Externí odkaz:
https://doaj.org/article/df1f589a116b4cb989181cfaee5bdc2a
Publikováno v:
Health and Quality of Life Outcomes, Vol 20, Iss 1, Pp 1-16 (2022)
Abstract Background Respondents in a health valuation study may have different sources of error (i.e., heteroskedasticity), tastes (differences in the relative effects of each attribute level), and scales (differences in the absolute effects of all a
Externí odkaz:
https://doaj.org/article/137bde9d71b14ba7a95506d9ea5470e2
Publikováno v:
PharmacoEconomics. 40:943-956
Background: Accounting for preference heterogeneity is a growing analytical practice in health-related discrete choice experiments (DCEs). As heterogeneity may be examined from different stakeholder perspectives with different methods, identifying th
Publikováno v:
Medical Decision Making. 41:573-583
Analyses of preference evidence frequently confuse heterogeneity in the effects of attribute parameters (i.e., taste coefficients) and the scale parameter (i.e., variance). Standard latent class models often produce unreasonable classes with high var
Publikováno v:
Health and quality of life outcomes. 21(1)
Background Preference heterogeneity in health valuation has become a topic of greater discussion among health technology assessment agencies. To better understand heterogeneity within a national population, valuation studies may identify latent group
Autor:
Caroline Vass, Marco Boeri, Suzana Karim, Deborah Marshall, Ben Craig, Kerrie-Anne Ho, David Mott, Surachat Ngorsuraches, Sherif M. Badawy, Axel Mühlbacher, Juan Marcos Gonzalez, Sebastian Heidenreich
Publikováno v:
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. 25(5)
Discrete choice experiments (DCEs) are increasingly used to elicit preferences for health and healthcare. Although many applications assume preferences are homogenous, there is a growing portfolio of methods to understand both explained (because of o