For binary or qualitative variables, let t1 be the category corresponding to the occurrence of the event of interest. T can be a binary (presence/absence), a qualitative (for example the color), or a quantitative variable (for example a concentration). Let T be a test which goal is to detect if the event occurred or not. We note by + the individuals for which the event occurs and by ‘-those for which it does not. Let V be the binary or multinomial variable that describes the phenomenon for N individuals that are being followed. We study a phenomenon, often binary (for example, the presence or absence of a disease) and we want to develop a test to detect effectively the occurrence of a precise event (for example, the presence of the disease).
Principles of Sensitivity and Specificity method It was then applied more generally to signal detection and medicine where it is now widely used.
This method was first developed during World War II to develop effective means of detecting Japanese aircraft. The XLSTAT sensitivity and specificity feature allows computing, among others, the sensitivity, specificity, odds ratio, predictive values, and likelihood ratios associated with a test or a detection method. Sensitivity and Specificity analysis is used to assess the performance of a test. In medicine it can be used to evaluate the efficiency of a test used to diagnose a disease or in quality control to detect the presence of a defect in a manufactured product. What is sensitivity and specificity analysis ?
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