Measures of discrimination Discrimination is the ability of the prediction model to correctly separate individuals into those who will and those who will not have the event of interest.
The accuracy of each score in predicting outcome was evaluated using measures of discrimination (how well each score discriminates between patients that do or do not progress to the outcome) and calibration (whether the probabilities predicted by the score are, on average, close to the observed outcomes) [13].
As argued in Section 3, the coefficients in the Bartolucci wage equation can be interpreted as productivity-adjusted measures of discrimination of certain groups of employees.
However, the ABSI and P-Baux, although showing high measures of discrimination (AUROC 0.826 [0.737–0.916] and 0.848 [0.758 0.938]) in children), exceedingly overestimates mortality, indicating poor calibration.
We computed signal detection theoretic measures of discrimination and bias in participants' responses by considering "yes" responses to related proverbs to be hits and "yes" responses to unrelated proverbs to be false alarms (Green & Swets, 1966).
Results indicated significant differences in measures of discrimination (experienced stigma), disclosure (self-stigma), and total stigma between participants in the music therapy condition and participants in the wait-list control condition.
"We will need to reexamine whether it is feasible to consider the European Union as a partner while it is using measures of discrimination and boycott against the state of Israel," he added.
Measures of discrimination and calibration were calculated.
From these timings, two measures of discrimination were calculated.
Two measures of discrimination behavior were calculated (Ennaceur & Delacour, 1988).
Measures of discrimination include the c-index and Nagelkerke's R RN) (Harrell, 2001).
