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There are different definitions within laboratory quality control, wherein "analytical sensitivity" is defined as the smallest amount of substance in a sample that can accurately be measured by an assay (synonymously to detection limit), and "analytical specificity" is defined as the ability of an assay to measure one particular organism or ...
MLA Handbook grew out of the initial MLA Style Sheet of 1951 [5] (revised in 1970 [6] [7]), a 28-page "more or less official" standard. [8] The first five editions, published between 1977 and 1999 were titled MLA Handbook for Writers of Research Papers, Theses, and Dissertations.
MLA Style Manual, and the MLA Handbook for Writers of Research Papers—for subjects in the arts and the humanities; published by the Modern Language Association of America (MLA). Scientific Style and Format: The CSE Manual for Authors, Editors, and Publishers—for scientific papers published by the Council of Science Editors (CSE), a group ...
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 ...
The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :
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).
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The third is due to a change in the prevalence, and this affects both the sensitivity and specificity. [4] This final cause is not widely appreciated, but there is mounting empirical evidence [ 4 ] [ 5 ] as well as theoretical arguments [ 6 ] which suggest that it does indeed affect a test's performance.
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