Skip to main content
editorial
. 2016 Feb;4(3):43. doi: 10.3978/j.issn.2305-5839.2015.11.12

Table 1. Statistical criteria for assessing diagnostic accuracy.

General
   Value distribution (normal, non-normal, skewed)
   Value of statistical significance (e.g., P<0.05; P<0.01, etc.)
Comparison against the reference method
   Correlation, linear regression analysis, Deming fit
   Bias estimation (e.g., by means of Bland and Altman plots)
   Diagnostic agreement (e.g., kappa statistics)
Evaluation of diagnostic performance against clinical outcomes
   Sensitivity and specificity
   Negative predictive value (NPV) and positive predictive value (PPV)
   Negative likelihood ratio (LH) and positive likelihood ratio (LH+)
   Diagnostic odd ratio (DOR)
   Graphical representation of receiver operating characteristics (ROC) curve
   Number need to test (NNT)