the use of mapping methods to estimate health state utility values
the use of mapping methods to estimate health state utility values
the use of mapping methods to estimate health state utility values
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
information <strong>of</strong> whe<strong>the</strong>r <strong>the</strong> EQ-5D predicted utilities have involved extrapolation,<br />
which should be avoided.<br />
• The appropriate model type differs depending on <strong>the</strong> dataset and how it is applied.<br />
Standard econometric and statistical techniques and judgement based on prior<br />
knowledge <strong>of</strong> <strong>the</strong> clinical relationship between variables should be <strong>use</strong>d <strong>to</strong> inform<br />
model selection and application (such as statistical significance, sign and size <strong>of</strong><br />
coefficients, R-squared and adjusted R-squared, information criterion <strong>of</strong> AIC and<br />
BIC). The properties <strong>of</strong> <strong>the</strong> sample dataset should be <strong>use</strong>d <strong>to</strong> inform model selection<br />
and a justification should be provided explaining why <strong>the</strong> selected regression model<br />
was chosen.<br />
• The statistical properties <strong>of</strong> <strong>the</strong> <strong>mapping</strong> algorithms should be clearly described. The<br />
root mean squared error or mean squared error should be reported. Errors should also<br />
be reported across subsets <strong>of</strong> <strong>the</strong> EQ-5D range (e.g. EQ-5D
Change language