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For the net reclassification improvement index and integrated discrimination improvement index values above zero indicate improved risk classification with the addition of the new variable(s).
Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) statistics were also applied to test the discriminative ability.
To assess whether the markers improved risk prediction and discrimination, we determined the C statistic and integrated discrimination improvement (IDI).
The ability of the wGRS to discriminate between cases and controls was assessed by receiver operator characteristic analysis and discrimination improvement tests.
integrated discrimination improvement.
Finally, the net-reclassification index and the integrated discrimination improvement were calculated for the combination of CPIS (slope) and biomarker (slope) [10].
The contributions of the biomarkers to risk prediction were further assessed by the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) methods.
Discriminative ability of the models was tested using C-index [16] and the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) statistics [17].
Second, adding IMT information resulted in a slightly better integrated discrimination improvement (IDI) for stroke (IDI = 0.022, P = .011) and CHD (IDI = 0.0035, P = .09).09
Therefore, we provided several additional statistics, including integrated discrimination improvement (IDI) and net reclassification improvement (NRI) [53] for the comparison of nested models with and without IMT.
Next, we assessed the discriminatory ability of single biomarkers using receiver operating characteristic curves and C-statistics, integrated discrimination improvement (IDI) and net reclassification improvement (NRI).
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