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Evaluation of diagnostic tests (view source)
Revision as of 15:23, 19 January 2011
, 15:23, 19 January 2011→Sensitivity and Specificity
The proportion of false negative results that the test is expected to give can be calculated by 1 minus the sensitivity and the proportion of false positive results expected using the test can be calculated by 1 minus the specificity. <br />
The proportion of false negative results that the test is expected to give can be calculated by 1 minus the sensitivity and the proportion of false positive results expected using the test can be calculated by 1 minus the specificity. <br />
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===Predictive values===
'''Predictive values''' are the probability that an individual’s test result reflect their true disease status. A '''positive predictive value (PV+)''' is the probability that an animal with a positive test result truly has the disease and '''negative predictive value (PV-)''' is the probability that an animal with a negative test result is truly free from disease. Predictive values are not only dependent on the characteristics of the test but also on the prevalence of the disease in the population.<br /><br />
'''Predictive values''' are the probability that an individual’s test result reflect their true disease status. A '''positive predictive value (PV+)''' is the probability that an animal with a positive test result truly has the disease and '''negative predictive value (PV-)''' is the probability that an animal with a negative test result is truly free from disease. Predictive values are not only dependent on the characteristics of the test but also on the prevalence of the disease in the population.<br /><br />