# Medical statistics 1 Prevention

Sensitivity: the probability that an individual with the disease will test positive. It is the number of patients with a positive test who have the disease (true positives) divided by all patients who have the disease. A test with high sensitivity will not miss many patients who have the disease (ie, low false negative rate). Positive predictive value: the likelihood that a patient with a positive test has the disease

Specificity: the probability that an individual without the disease will test negative. It is the number of patients who have a negative test and do not have the disease (true negatives) divided by the number of patients who do not have the disease. A test with high specificity will infrequently identify patients as having a disease when they do not (ie, low false positive results). Negative predictive value: the likelihood that a patient who has a negative test is free of the disease

February 14, 2007

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