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Do country-specific preference weights matter in the choice of mapping algorithms? The case of mapping the Diabetes-39 onto eight country-specific EQ-5D-5L value sets.

Admassu N LamuGang ChenThor Gamst-KlaussenJan Abel Olsen
Published in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2018)
The D-39 can be mapped onto the EQ-5D-5L utilities with good predictive accuracy. The fractional regression model, which is appropriate for handling bounded outcomes, outperformed other candidate methods in all country-specific value sets. However, the regression coefficients differed reflecting preference heterogeneity across countries.
Keyphrases
  • high resolution
  • type diabetes
  • machine learning
  • cardiovascular disease
  • single cell
  • deep learning
  • mass spectrometry
  • insulin resistance