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This study establishes the South Korean population-based preference weights for EQ-5D
based on values elicited from a representative national sample using the time trade-off
The data for this paper came from a South Korean EQ-5D valuation study where 1307
representative respondents were invited to participate and a total of 101 health states
defined by the EQ-5D descriptive system were directly valued. Both aggregate and individual
level modeling were conducted to generate values for all 243 health states defined
by EQ-5D. Various regression techniques and model specifications were also examined
in order to produce the best fit model. Final model selection was based on minimizing
the difference between the observed and estimated value for each health state.
The N3 model yielded the best fit for the observed TTO value at the aggregate level.
It had a mean absolute error of 0.029 and only 15 predictions out of 101 had errors
exceeding 0.05 in absolute magnitude.
The study successfully establishes South Korean population-based preference weights
for the EQ-5D. The value set derived here is based on a representative population
sample, limiting the interpolation space and possessing better model performance.
Thus, this EQ-5D value set should be given preference for use with the South Korean