| Gold standard | |||
| GS+ | GS− | ||
| Test | T+ | TP | FP |
| T− | FN | TN | |
| Sensitivity = TP/(TP + FN) | |||
| Specificity = TN/(FP + TN) | |||
| Positive predictive value = TP/(TP + FP) | |||
| Negative predictive value = TN/(FN + TN) | |||
| LR+ = sensitivity/(1 – specificity) = (a/(a + c))/(b/(b + d)) | |||
| LR− = (1 – sensitivity) / specificity = (c/(a + c))/(d/(b + d)) | |||
| iNLR = specificity/(1 – sensitivity) | |||
| T− = Test negative | |||
| T+ = Test positive | |||
| FP = False positive | |||
| TP = True positive | |||
| FN = False negative | |||
| TN = True negative | |||
| GS− = Gold standard negative | |||
| GS+ = Gold standard positive | |||
| LR+ = Likelihood ration positive | |||
| LR− = Likelihood ration negative | |||