Skip to main content
. 2017 Feb 27;109(7):djw327. doi: 10.1093/jnci/djw327

Table 4.

Classifier performance in the validation set (n = 130)

Biomarker performance metric Clinical model Clinicogenomic model P
Area under the curve (95% CI)* 0.74 (0.66 to 0.83) 0.81 (0.74 to 0.89) .01
Sensitivity (95% CI) 0.79 (0.67 to 0.88) 0.91 (0.81 to 0.97) .03
Specificity (95% CI) 0.58 (0.45 to 0.70) 0.52 (0.39 to 0.64) .42
Negative predictive value (95% CI) 0.73 (0.58 to 0.84) 0.85 (0.69 to 0.94) .03
Positive predictive value (95% CI) 0.66 (0.54 to 0.76) 0.66 (0.55 to 0.76) .97
Accuracy (95% CI)§ 0.68 (0.60 to 0.76) 0.72 (0.63 to 0.79) .68
*

P value comparing models calculated using Delong’s two-sided test. CI = confidence interval.

P value comparing models calculated using McNemar’s two-sided chi-square test.

P value comparing models calculated using two-sided generalized score statistic.

§

P value comparing models calculated using two-sided Fisher Exact test.