negative predictivity

negative predictivity

The proportion of correct negative responses among materials testing negative. Negative predictivity measures test performance; it is a function of a test’s sensitivity and prevalence of negatives in the population being tested.
References in periodicals archive ?
Analysis of Fournier's gangrene severity index and Uludag Fournier's gangrene severity index AUC 95% CI p UFGSI 0.835 0.713-0.957 0.000 Cut off 9 0.795 0.644-0.946 0.001 Sensivity 75.0% Positive predictivity 42.9% Specificity 84.0% Negative predictivity 95.5% AUC 95% CI p FGSI 0.869 0.764-0.975 0.000 Cut off 9 0.778 0.601-0.955 0.002 Sensivity 58.3% Positive predictivity 77.8% Specificity 97.3% Negative predictivity 93.6% AUC: Area under curve, UFGSI: Uludag Fournier's gangrene severity index, FGSI: Fournier's gangrene severity index
However, the negative predictivity is better for the latter test.
Specificity and sensitivity of laboratory tests in the diagnosis of rheumatoid arthritis Test Sensitivity Specificity Positive Negative predictivity predictivity Anti-cyclic 0.8657 1.0000 1.0000 0.9575 citrullinated peptide antibody Rheumatoid 0.8955 0.9113 0.7692 0.9635 factor C-reactive 0.7164 0.6453 0.4000 0.8733 protein Erythrocyte 0.5970 0.6700 0.3738 0.8344 sedimentation rate Test Accuracy rate Anti-cyclic 0.9667 citrullinated peptide antibody Rheumatoid 0.9076 factor C-reactive 0.6630 protein Erythrocyte 0.6519 sedimentation rate
Full browser ?