Proportion of actual positives that are correctly identified as such by a binary classification test.
1We will compare the accuracy of frailty instruments using the relative true positive rate and relative false positive rate.
2A ROC curve is created by plotting the true positive rate against the false positive rate at various threshold settings.
3The false positive rate for passive tilt is 13% and the true positive rate is about 70% including use of nitroglycerine.
4A retrospective analysis of this assay revealed a true positive rate of 57 per cent and a true negative rate of 100 per cent.
Translations for true positive rate