Relationships between statistical measures of agreement: sensitivity, specificity and kappa
Article first published online: 31 OCT 2008
© 2008 The Authors. Journal compilation © 2008 Blackwell Publishing Ltd
Journal of Evaluation in Clinical Practice
Special Issue: Evidence Based Medicine
Volume 14, Issue 5, pages 930–933, October 2008
How to Cite
Feuerman, M. and Miller, A. R. (2008), Relationships between statistical measures of agreement: sensitivity, specificity and kappa. Journal of Evaluation in Clinical Practice, 14: 930–933. doi: 10.1111/j.1365-2753.2008.00984.x
- Issue published online: 31 OCT 2008
- Article first published online: 31 OCT 2008
- Accepted for publication: 5 December 2007
- measures of agreement;
Objectives Cohen's kappa coefficient is presently a standard tool for the analysis of agreement on a binary outcome between two tests. In view of the ubiquity of the use of sensitivity, specificity, raw agreement and kappa in clinical studies, clearly it is advantageous to have a useful analytic relation connecting these measures of agreement.
Methods We elaborate on previous work, comment on other results appearing in the literature and discuss analytic formulas relevant to various problems connecting specificity, sensitivity and kappa.
Results For selected values of kappa that range from good to excellent, a graph of the curves representing minimal pairs of sensitivity and specificity is provided.
Conclusions The analytic formulas and graph could be potentially useful to clinicians and biostatisticians in better interpreting the outcomes of an alternative diagnostic test whenever the measures sensitivity, specificity and kappa are employed together.