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Positive predictive value: probability that the disease is present when the test is positive.

= False negative rate / True negative rate = (1-Sensitivity) / Specificity Negative likelihood ratio: ratio between the probability of a negative test result given the presence of the disease and the probability of a negative test result given the absence of the disease, i.e.= True positive rate / False positive rate = Sensitivity / (1-Specificity) Positive likelihood ratio: ratio between the probability of a positive test result given the presence of the disease and the probability of a positive test result given the absence of the disease, i.e.Specificity: probability that a test result will be negative when the disease is not present (true negative rate).Sensitivity: probability that a test result will be positive when the disease is present (true positive rate).

(*) These values are dependent on disease prevalence.