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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 ...
The specificity describes how closely the index terms match the topics they represent [10] An index is said to be specific if the indexer uses parallel descriptors to the concept of the document and reflects the concepts precisely. [11] Specificity tends to increase with exhaustivity as the more terms you include, the narrower those terms will be.
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).
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 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 ...
A typical APA-style research paper fulfills 3 levels of specification. Level 1 states how a research paper must be organized by including a title page, an abstract, an introduction, the methodology, the results, a discussion, and references. In addition, formatting of abstracts and title pages must be as per the APA manual of style.
Simple interest vs. compound interest. Simple interest refers to the interest you earn on your principal balance only. Let's say you invest $10,000 into an account that pays 3% in simple interest ...
The specificity of the test is equal to 1 minus the false positive rate. In statistical hypothesis testing, this fraction is given the Greek letter α, and 1 − α is defined as the specificity of the test. Increasing the specificity of the test lowers the probability of type I errors, but may raise the probability of type II errors (false ...