<p>The sensitivity and specificity for each clinical outcome were plotted (A–F). Accuracy was measured by the area under the ROC curve (AUC). The dashed line indicates a reference test threshold with an AUC of 0.5. The AUC > 0.5 with a statistical significance represents a worthy test. pT status, depth of tumors; pN status, LN status.</p
<p>(A) Time-dependent ROC analyses in the training cohort. (B) Time-dependent ROC analyses in the te...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>(A, C) EZH2 cutoff point of OS and DFS, the EZH2 cutoff score for OS and DFS was 4 (<i>p</i> = 0....
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>The sensitivity and specificity for each outcome were plotted: tumor size (<b>A</b>), tumor multi...
<p>The ROC curve area for CD8<sup>+</sup>CD28<sup>-</sup>CD57<sup>+</sup> (AUC) was 0.79 and the cut...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Note- EZ-MAP, “one vs. many” T, and Z-scores were thresholded at α<sub>1</sub> = 0.05 (2-tails); ...
<p>The area under the curve (AUC) was 0.853. A cut-off value of CC depth of 115 μm had a sensitivity...
<p>(A) Time-dependent ROC analyses in the training cohort. (B) Time-dependent ROC analyses in the te...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
<p>In training set (A), at each immunohistochemical staining score of 38 tissue molecules and 3 sero...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>The area under curve was 0.787, and the optimal cutoff was grade 3 with 60% sensitivity and 91% s...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>(A, C) EZH2 cutoff point of OS and DFS, the EZH2 cutoff score for OS and DFS was 4 (<i>p</i> = 0....
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>The sensitivity and specificity for each outcome were plotted: tumor size (<b>A</b>), tumor multi...
<p>The ROC curve area for CD8<sup>+</sup>CD28<sup>-</sup>CD57<sup>+</sup> (AUC) was 0.79 and the cut...
<p>AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true p...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>Note- EZ-MAP, “one vs. many” T, and Z-scores were thresholded at α<sub>1</sub> = 0.05 (2-tails); ...
<p>The area under the curve (AUC) was 0.853. A cut-off value of CC depth of 115 μm had a sensitivity...
<p>(A) Time-dependent ROC analyses in the training cohort. (B) Time-dependent ROC analyses in the te...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...