Proportion of negative test results when a specific finding is truly absent in a population.
Ability of a test or measure to identify individuals that do not have the target disorder.
Proportion of truly non-diseased persons who are identified by the screening test.
The affinity of an antibody for diseased tissue relative to normal tissue. Specificity is a function of both the abundance of the target in the diseased tissue compared with normal tissue and the cross-reactivity of the antibody with non-target epitopes.
the likelihood that a test will successfully show a person to not have a certain disease or condition
Refers to the probability that a test will be negative when the disease is not present. (see Sensitivity, Positive Predictive Value and Negative Predictive Value.)
In a screening test, is the proportion of those whose screening test was negative who were truly free of disease.
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. Spectrum bias . An unrecognised (but probably very real) problem is that of spectrum bias. This is the phenomenon of the sensitivity and/or specificity of a test varying with different populations tested - populations which might vary in sex ratios, age, or severity of disease as three simple examples.
An instrument's ability to rule out people who do not have the characteristic under investigation.;( % of people w/out characteristic who are correctly identified by instrument)/(# of people w/out characteristic)
the probability that a diagnostic test can correctly identify the absence of a particular disease assuming the proper conduct of the test; specifically, the number of true negative results divided by the sum of the true negative results and the false positive results; a method that detects 95% of true PCa cases is highly sensitive, but if it also falsely indicates that 40% of those who do not have PCa do have PCa then its specificity is 60%, rather poor; see sensitivity.
The proportion of individuals without the abnormality or disease that will have a negative test.
Quality of a compound that describes its lack of interaction with targets that are related to the main target of an assay. Compounds with high specificity tend to have fewer side effects.
(of a test); The proportion of cases that do not have a condition that are correctly classified by the test as not having it. Number of true negative cases divided by the number of false positive and true negative cases. Tests with high sensitivity are unlikely to report a condition as existing when it does not. [See accuracy, prevalence, sensitivity
The probability that patients without a particular disease, condition or injury will test negative for the problem by a particular test.
In tests of validity, the percentage of all true noncases identified correctly. See Sensitivity.
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"
For a diagnostic procedure, the conditional probability of a negative result given that disease is absent.
True negative rate (see Confusion matrix).
The estimated specificity (synonym: True Negative Rate) of a diagnostic test is the estimated (or assumed) proportion of animals without the disease (or infection) of interest which test negative. It is a measure of the probability that an individual without the disease of interest will be correctly identified by the test. Sometimes called "population specificity" to distinguish from "analytical specificity". Important note For pooled testing, specificity is estimated at the pool level, so that in this context, specificity is the probability that a pool which does not include samples from any infected individuals will test positive (false positive). Pool-level specificity can therefore be affected by pool size, due to both a possible increase in the number of false-positive individuals in the pool as pool size increases and the effect of dilution on whether these false-positive individuals are also positive in the pooled test.
"Probability that a test result will be negative when the disease is not present (true negative rate, expressed as a percentage)." (see http://www.medcalc.be/manual/mpage06-13a.html).
in medical screening, the proportion of individuals with a negative (no indication of disease) screening result for a disease who actually do not have the disease. For example, for women who have mammograms, the specificity would be the number of women with a negative mammogram who actually do not have breast cancer.
The number of true negatives divided by the number of patients who do not have the disease.
The ability of a test to identify clients who do not have the disease or condition for which they are being tested.
When discussing how good a particular test is, people talk about specificity. Specificity is a way of measuring how good a test is at picking up only the people who have the condition. A test with poor specificity is one that isn't very specific and identifies people with the disease, but also some other people who don't have the disease. A screening test that is not very specific will have some results that show a person has an illness, when actually they don't. This kind of result is called a false-positive result. Tests which are not very specific produce more false-positive results.
(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. ( Diagnosis) To Calculation
The proportion of people who test as negative to a disease who really do not have the disease.
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 negative test, expressed as: [true negatives Ã‚Â¸ (true negatives + false positives)]. (Contrast with sensitivity.)
The probability of a negative result, given that the condition under consideration is false – for example, the probability of a negative test result in a person who does not have the disease under consideration (also called the true-negative rate).
The ability of a test to detect the proportion of true negative results for the disease that the test is intended to reveal. In other words, the probability that, given the absence of disease, a test result excludes disease.
The proportion of patients without the target disorder who have a negative test result.
The proportion of persons without disease who are correctly identified by a screening test or case definition as not having disease.
Analytical - The probability that a test will be negative when an analyte is absent from a specimen. Clinical - The probability that a test will be negative in a person free of a disease, and who will not get the disease.
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.
Specificity applies to vapor and liquid sensors and lists products or components of products that these sensors can detect. Specificity for quantitative sensors is the ratio of sensor output, or measured concentration, to the actual concentration of hydrocarbon test gas expressed as a percentage. Specificity for qualitative sensors is reported as activated if the sensor responds within 24 hours. Otherwise, specificity is reported as inactivated.
The probability that a test will correctly detect the absence of an underlying condition.
Measures a test's ability to correctly identify individuals who are disease-free. A failure in specificity, commonly referred to as a "false positive," is the failure of a test to correctly identify an individual who is disease free.
The ability of a test device to determine exclusively the drug and/or drug metabolites that are claimed to be detected without cross-reacting with other related substances that are not intended to be detected.
The frequency with which a test yields a negative result when the individual being tested is actually unaffected and/or does not have the gene mutation in question
a measure of a diagnostic test’s ability to correctly identify the absence of a disorder in a sample of people who do not have the disorder.
This is the degree to which the assay does not cross-react with other analytes..
A term used to assess the value of a diagnostic test, procedure or clinical observation. It is the proportion of people who are free from a specific disease and are identified as such by a particular test.
Degree to which analytes other than that in question react in an assay; the higher the level of cross-reactions, the lower the analytical specificity..
Proportion of known uninfected reference animals that test negative in the assay; uninfected reference animals that test positive are considered to have false-positive results..
Proportion of reference animals, defined as negative by one or a combination of test methods, that also test negative in the assay being compared..
The proportion of truly negative units that are correctly identified as negative by a test.
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. See also likelihood ratio. more details... Do you want to see how this is calculated
The capability of a test to not detect a disorder in healthy individuals. The capability of a test to be restricted in application or effect to a particular function or structure.
The ability of the assay to determine unequivocally the analyte in the presence of components that may be expected to be present in the sample.
(For health screening tests). The ability of a test to correctly identify only non-diseased individuals of all those who actually do not have the disease. ( 4-18)
Measure of how often a test correctly rules out disease when it is truly absent
The specificity of a diagnostic or screening test is the proportion of people who are truly free of a designated disorder who are so identified by the test. The test may consist of or include clinical observations.
The proportion of time that a diagnostic test is negative in patients who do not have the disease or condition. A specific test has a low false-positive rate.
is the porportion of people free of a disease who have a negative test. See also Calculating Sensitivity and Specificity.
The probability that a test result is negative when the subject does not have the disease. Synonyms include true negative rate. Specificity = d/n2 = TN/(TN+FP).
The specificity of a test is the probability of the test providing a negative result if the disease is truly absent. As the specificity of a test increases, the proportion of false positives decreases.
When referring to a medical test, specificity refers to the percentage of people who test negative for a specific disease among a group of people who do not have the disease. No test is 100% specific because some people who do not have the disease will test positive for it (false positive).
The ability of a diagnostic test to rule out the presence of a disease. In defining a laboratory test's accuracy, specificity indicates the frequency of negative test results in patients who do not have the specific disease being tested for.
The specificity is a statistical measure of how well a binary classification test correctly identifies the negative cases, or those cases that do not meet the condition under study. For examples, for a medical test to determine if a person has a certain disease, the specificity to the disease is the probability that if the person does not have the disease, the test will be negative.