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Sensitivity and specificity values alone may be highly misleading. The 'worst-case' sensitivity or specificity must be calculated in order to avoid reliance on experiments with few results. For example, a particular test may easily show 100% sensitivity if tested against the gold standard four times, but a single additional test against the ...
Sensitivity (physiology), the ability of an organism or organ to respond to external stimuli Sensory processing sensitivity, a personality trait in humans; Sensitivity and specificity, statistical measures of the performance of binary classification tests; Allergic sensitivity, the strength of a reaction to an allergen
They use the sensitivity and specificity of the test to determine whether a test result usefully changes the probability that a condition (such as a disease state) exists. The first description of the use of likelihood ratios for decision rules was made at a symposium on information theory in 1954. [ 1 ]
Two primary stress tests utilized are a treadmill test using ECG/electrophysiology metrics and nuclear testing, each have unique sensitivity and specificity values. The treadmill test, employing the modified Bruce protocol , [ 20 ] demonstrates a sensitivity range of around 73-90% and a specificity range of around 50-74%.
Assay sensitivity is a property of a clinical trial defined as the ability of a trial to distinguish an effective treatment from a less effective or ineffective intervention. [1] Without assay sensitivity , a trial is not internally valid and is not capable of comparing the efficacy of two interventions.
The relationship between sensitivity and specificity, as well as the performance of the classifier, can be visualized and studied using the Receiver Operating Characteristic (ROC) curve. In theory, sensitivity and specificity are independent in the sense that it is possible to achieve 100% in both (such as in the red/blue ball example given above).
Precision and recall. In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly ...
The article states (under the "Sensitivity" and "Specificity" sections respectively) that "negative results in a high sensitivity test are used to rule out the disease" (referred to by the mnemonic "SNOUT" later in the article) and that "a positive result from a test with high specificity means a high probability of the presence of disease ...