An operating characteristic of a diagnostic test that measures the ability of a test to exclude the presence of a disease (or condition) when it is truly not present Specificity is the proportion of nondiseased patients for whom there is a correctly negative test, expressed as the number of true negatives divided by the sum of true negatives + false positives (Contrast with sensitivity )
The ability of a procedure to react only with the drugs or metabolites being tested and to exclude other substances A specific procedure is rarely positive if a substance is truly absent; thus, few false positive results will occur
a statistical measure of the accuracy of a screening test, i e , how likely a test is to label as negative those who do not have a disease or condition Contrast with sensitivity
The chance of having a negative test result given that you do not have a disease (not to be confused with negative predictive value, which is the other way round)
(of a diagnostic test): the proportion of truly nondiseased persons, as measured by the gold standard, who are so identified by the diagnostic test under study
when searching databases, this refers to retrieving a smaller amount of information that is highly relevant, but possibly missing some good items that are slightly less relevant
Your exercise program is designed to meet specific goals Specificity is done by overloading a certain body part in order to improve or develop it Example ~ Lots of running workouts because you want to increase lung capacity and endurance
Proportion of people without the target disorder who have a negative test It is used to assist in assessing and selecting a diagnostic test/sign/symptom
A high rate of detection of "true negatives" i e , the fraction of patients who actually received bad care who are classified as recipients of bad care
the quality of being specific rather than general; "add a desirable note of specificity to the discussion"; "the specificity of the symptoms of the disease"
ability to determine there is no disease; high specificity has few false negatives and many true negatives; the number of true negatives divided by the sum of true negatives plus false positives
The probability of the test finding NO disease among those who do NOT have the disease or the proportion of people free of a disease who have a negative test