Hello, scholars.
I am trying to determine how well a marker can diagnose a particular condition. I make an effort to cite a source that clarifies the categorization and interpretation of generated diagnostic performances such as sensitivity (Sn), specificity (Sp), positive likelihood ratio (LR+), negative likelihood ratio (LR-), positive predictive value (PPV), negative predictive value (NPV), and accuracy in the 'method' and 'discussion' section. However, I could not find a consensus on who mentioned those categorizations.
Based on your experience, how do you say those seven diagnostic performance indicators are "poor," "moderate," and "good"? Are there any valid references I can use instead of common sense?
My previous findings revealed that one article offered the classification of AUC value (Article Measures of Diagnostic Accuracy: Basic Definitions
). Can I apply that category of AUC in Sn, Sp, PPV, NPV, and accuracy? How about the interpretation of LR?