Table 3.

Statistical tests performance

1.	Sensitivity: Proportion of subjects who test positive for a specific condition among a group of people who have the condition; how well a test can detect a specific condition in people who actually have the condition
2.	Specificity: Proportion of subjects who test negative for a specific condition among a group of people who do not have the condition
3.	Receiver operator characteristic (ROC) curve: A plot of the true-positive rate versus the false-positive rate for all possible cut points of a biomarker
4.	Incidence: number of individuals who develop a specific disease during a particular time period
5.	*Positive predictive value (PPV): Likelihood that a person who has a positive test result does have the disease
6.	*Negative predictive value (NPV): Likelihood that a person who has a negative test result indeed does not have the disease

^*Require biomarker cut-point values and depend on incidence of disease