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Table 3 Predictive performance of different multivariate models

From: Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

  Sensitivity* (95% CI) Specificity* (95% CI) Area under ROC Curve* (95% CI)
Multiple logistic regression (original sample) 71.3 (62.4–79.1) 59.4 (50.7–67.7) 68.2 (61.9–74.6)
Multiple logistic regression (validation sample) 67.4 (58.6–75.4) 59.7 (50.9–68.1) 67.0 (60.6–73.4)
Multiple logistic regression using scores (original sample) 63.9 (54.8–72.4) 63.8 (55.2–71.8) 69.4 (62.8–76.0)
Multiple logistic regression using scores (validation sample) 65.9 (57.0–74.0) 60.5 (51.6–68.8) 68.1 (61.6–74.7)
CART (original sample) 63.7 (54.6–72.2) 75.5 (67.5–82.4) 74.9 (69.0–80.8)
CART (validation sample) 64.2 (55.6–72.2) 60.6 (51.9–68.8) 66.4 (60.0–72.8)
  1. * Expressed in percents (%)