specificity {ClinSigMeasures} | R Documentation |
Specificity Calculation From a 2x2 Table
Description
Calculates diagnostic test specificity and 95 percent confidence intervals for data from a 2x2 table
Usage
specificity(Cell1, Cell2, Cell3, Cell4)
Arguments
Cell1 |
Value for cases with a positive test |
Cell2 |
Value for controls with a positive test |
Cell3 |
Value for cases with a negative test |
Cell4 |
Value for controls with a negative test |
Value
Specificity and 95 percent confidence intervals
Author(s)
Mike Malek-Ahmadi
References
1. Trevethan R. Sensitivity, specificity, and predictive values: Foundations, pliabilities, and pitfalls in research and practice. Frontiers in Public Health 2017;5:307.
2. Weissberger GH, Strong JV, Stefanidis KB, Summers MJ, Bondi MW, Stricker NH. Diagnostic accuracy of memory measures in Alzheimer's dementia and mild Cognitive Impairment: a Systematic Review and Meta-Analysis. Neuropsychol Rev. 2017;27(4):354-388.
Examples
#Specificity calculation from Figure 11, Line 22 of Weissberger et al
specificity (121, 50, 13, 199)
[Package ClinSigMeasures version 1.2 Index]