| Gold standard Positive (condition present) | Gold standard Negative (condition not present) | Test result Positive | True Positive | False Positive | Test result Negative | False Negative | True Negative |
Stable Properties:
Sensitivity = True Positives/(True Positives + False Negatives)
Specificity = True Negatives/(False Positive + True Negative)
Frequency Dependent Properties:
Positive Predictive Value = True Positive/(True Positive + False Positive)
Negative Predictive Value = True Negative/(True Negative + False Negative)
Likelihood Ratios
The likelihood ratio for a test result compares the likelihood of that result in patients with disease to the likelihood of that result in patients without disease:
| Condition Present | Condition Absent | Test Positive | a | b | Test Negative | c | d |
Positive LR = (a/a+c)/(b/b+d) Negative LR = (c/a+c)/(d/b+d)
How much do Likelihood Ratios change disease likelihood?
LRs >10 or <0.1 cause large changes in likelihood. LRs 5-10 or 0.1-0.2 cause moderate changes. LRs 2-5 or 0.2-0.5 cause small changes. LRs between <2 and 0.5 cause little or no change.
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