Predicting the EQ-5D-3L Preference Index from the SF-12 Health Survey in a National US Sample

@inproceedings{Perraillon2015PredictingTE,
  title={Predicting the EQ-5D-3L Preference Index from the SF-12 Health Survey in a National US Sample},
  author={Marcelo Coca Perraillon and Ya-chen Tina Shih and Ronald A. Thisted},
  booktitle={Medical decision making : an international journal of the Society for Medical Decision Making},
  year={2015}
}
BACKGROUND . When data on preferences are not available, analysts rely on condition-specific or generic measures of health status like the SF-12 for predicting or mapping preferences. Such prediction is challenging because of the characteristics of preference data, which are bounded, have multiple modes, and have a large proportion of observations clustered at values of 1. METHODS . We developed a finite mixture model for cross-sectional data that maps the SF-12 to the EQ-5D-3L preference… CONTINUE READING

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