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Table 2 Each index value of the ROC curve in training set and validation set

From: Identification and validation of an eight-lncRNA signature that predicts prognosis in patients with esophageal squamous cell carcinoma

Datasets ROC
AUC Sensitivity Specificity PPV NPV
Training set (GSE53625, N = 358) 0.997 0.989 0.994 0.994 0.989
Validation set (TCGA, N = 173) 0.901 0.933 0.746 0.907 0.909
  1. AUC area under the curve, PPV positive prediction value, NPV negative prediction value