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