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Table 5 Sensitivitya (%) and specificity (%) Calculated from discriminant function analysis

From: Molecular binary classification of NSCLC: miR-375 is a potential biomarker to differentiate SQCC from ADCC in Indian NSCLC patients

  Variables miR-205, miR-21 miR-196, miR-21 miR-375, miR-21 miR-205, miR-196b, miR-21 miR-205, miR-375, miR-21 miR-375, miR-196, miR-21 miR-205, miR-196b, miR-375, miR-21
Training set Sensitivity 46.7% 53.3% 93.3% 46.7% 86.7% 86.7% 80%
Specificity 66.7% 66.7% 86.7% 66.7% 86.7% 86.7% 86.7%
Validation set Sensitivity 54.8% 48.3% 96.7% 51.6% 96.7% 96.7% 93.5%
Specificity 65.5% 75.8% 93.1% 68.9% 93.1% 93.1% 93.1%
  1. aSensitivity (%) was determined as [true positive / (true positive + False negative)] and specificity (%) was [True negative / (True negative + False positive)]. Cut-off value = “Zero”. If the Z score was positive, sample was designated as SQCC and negative sample was designated as ADCC. Z score was calculated with the help of the formulas mentioned in the Table 2. True positive: Samples which were diagnosed as SQCC by the histopathologists and with positive Z score. False negative: Samples which were characterised as SQCC but with negative Z score. True negative: Samples which were characterised as ADCC by histopathologists and with negative Z score. False negative: Samples which were initially classified as ADCC but with the positive Z score