Table 8.
Measure | P(nmin) | L R F | L R R | g P S A | g P S W | g P S WT | g P S MWS |
---|---|---|---|---|---|---|---|
Sensitivity | 0.5 | 0.40, 0.90 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 |
1 | 0.30, 0.80 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | |
Specificity | 0.5 | 0.62, 0.85 | 0.97, 1.00 | 0.97, 1.00 | 0.92, 1.00 | 0.92, 1.00 | 0.90, 1.00 |
1 | 0.62, 0.85 | 0.98, 1.00 | 0.98, 1.00 | 0.92, 1.00 | 0.92, 1.00 | 0.92, 1.00 | |
PPV | 0.5 | 0.26, 0.56 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 |
1 | 0.21, 0.50 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | |
NPV | 0.5 | 0.83, 0.97 | 0.80, 0.83 | 0.80, 0.83 | 0.79, 0.83 | 0.79, 0.83 | 0.79, 0.83 |
1 | 0.81, 0.94 | 0.80, 0.83 | 0.80, 0.83 | 0.79, 0.83 | 0.79, 0.83 | 0.79, 0.83 |
P(nmin) = probability of outliers being small providers; PPV = positive predictive value; NPV = negative predictive value