Specificity

{
  "id": "MLC-T-ENV-026342",
  "term": "Specificity",
  "field": "Environment",
  "definition": "1. The degree to which an effect is known to result from one or very few possible causes, or a cause is known to have a distinct effect. Specificity is a causal consideration in the Stressor Identification guidance. In CADDIS, the concept is incorporated into the Symptoms type of evidence.\n\n2. The specificity of a test can be described as the proportion of all negatives it detects that truly were negative. All negatives are the sum of (detected) true negatives (TN) and false positives (FP). Specificity is therefore: TN / (TN + FP) × 100%\n\n3. Ability or a test, case definition, or surveillance system to exclude persons without the health condition of interest. Proportion of persons without a health condition that are correctly identified as such by a screening test,\n\n4. Specificity of a test can be described as the proportion of all negatives it detects that truly were negative. All negatives are the sum of (detected) true negatives (TN) and false positives (FP). Specificity is therefore: TN / (TN + FP) × 100% [EPA 815-B-04-001; FEM Document Number 2012-01]\n\n5. Proportion of persons without disease who are correctly identified by a screening test or case definition as not having disease.",
  "subject": "Science and research",
  "references": [
    "CADDIS Glossary",
    "EPA 815-B-04-001; FEM Document Number 2012-01",
    "CDC Glossary: Principles of Epidemiology in Public Health Practice at https://www.cdc.gov/csels/dsepd/ss1978/SS1978.pdf",
    "Environmental Sampling and Analytical Methods (ESAM) Program Glossary",
    "CDC Epidemiology Glossary"
  ],
  "url": "https://mlchart.com/terminology/environment/specificity/"
}