The<unk> is a statistical measure of how well a binary classification test correctly identifies the negative cases. It is the probability that a test correctly classifies individuals without preclinical disease as negative. It is a proportional measurement and is often expressed in terms of percentage.
Specificity 
Sensitivity 
Positive predictive value
Negative predictive value
Validity 
Cognitive bias
Relative volatility
Incidence 