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For each item, the item whole correlation (item discrimination) was calculated, as an indicator of how well an item discriminates good from poor total performance.
Model discrimination was calculated using area under ROC curve.
A count score of the number life areas of anticipated discrimination was calculated.
Carbon isotope discrimination was calculated as ∆C according to Farquhar [ 188].
Item discrimination was calculated by ranking the participants according to total score and then selecting the top quartile and the lowest quartile.
Note: The markers are arranged as per their individual PI in the decreasing order; Cumulative power of discrimination was calculated using products of PIs of successive informative markers arranged in decreasing order as described by Waits et al. [56].
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Our calculations take this into account because discrimination is calculated by calculating the difference of two proportions (see above equation).
Moreover, both the nest decay rates and logistic regression model for species discrimination are calculated at the level of individual nests rather than nest groups.
Indices of discrimination were calculated for all loci using the Discriminatory Power Calculator (http://biophp.org/stats/discriminatory_power/demo.php), which is a modification of the Simpson's index of discrimination test [31], [32].
From these timings, two measures of discrimination were calculated.
Measures of calibration and discrimination were calculated in the two validation cohorts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com