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Thus by using raster reclass tool, the reclassification analysis was computed for elevation suitability classes.
The GES outperformed clinical factors by receiver-operating characteristics and reclassification analysis and showed significant correlation with maximum percent stenosis.
Reclassification analysis showed that the main improvement was the decrease of false-positive results and that non-metastatic patients were reclassified into lower BSI groups.
The reclassification analysis in Table 5 confirmed this.
Reclassification analysis is a more modern method that is widely recommended for assessing the incremental contribution of biomarkers to risk prediction.
As described by Pencina et al. [ 17, 18], reclassification analysis is a method that has been recommended for assessing the incremental contribution of biomarkers to risk prediction.
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In addition to ROC analysis, we assessed the effect of adding RDW to risk-adjusted models by using reclassification-analysis methods, as suggested by Pencina [ 29].
In addition, to understand the characteristics of diagnostic accuracy based on the new database, a net reclassification improvement analysis was performed [8].
Net reclassification improvement analysis was performed to compare the prognostic accuracy of GEP with the 7th edition clinical Tumor-Node-Metastasis (TNM) classification and chromosome 3 status.Patients were managed for their primary tumor and monitored for metastasis.The GEP assay successfully classified 446 of 459 cases (97.2%).
The net reclassification improvement analysis for all subjects was 13.8 % (p < 0.0001) by including HMR and its inclusion was most effective in the downward reclassification of low-risk patients.
The net reclassification improvement (NRI) analysis for identifying bone metastasis was performed using four ANN groups of 0 to 0.24, 0.25 to 0.49, 0.50 to 0.74, and 0.75 to 1.00 [8].
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