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Sensitivity of a test to recognize true positives (TP/(all positives)).
The sensitivity of a test, its "true positive" rate, is the fraction of times that patients with the disease test positive for it.
The sensitivity of a test is the probability of a case testing positive (i.e. a true positive).
This curve plots the sensitivity of a test against its false-positive rate across all possible values.
The outcomes of this study clearly underline the importance of considering the sensitivity of a test design too simple designs might yield false-negative results.
If the sensitivity of a test is evaluated in seriously diseased subjects, and specificity in healthy individuals, both measures will overestimate the true diagnostic accuracy [ 67].
Similar(45)
On the basis of the data presented here, the use of primers for CTAG1, MAGEA10 and BAGE1 might increase the sensitivity of such a test.
It follows that the sensitivity of such a test will also be biased by sequence, affecting downstream analysis such as gene ontology enrichment tests.
Both studies presented data on sensitivity (ability of a test to detect correctly restricted motion segments) and specificity (ability of a test to detect correctly unrestricted motion segments).
Sensitivity of a diagnostic test is the proportion of patients for whom the outcome is positive that is correctly identified by the test.
The sensitivity of a diagnostic test is the proportion of patients for whom the outcome is positive that are correctly identified by the test.
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