<nowiki>Selection of the appropriate cut-off value will depend on a number of issues including the relative cost of false positives and false negatives, the stage of an eradication program, if any, and the availability of other tests. An important consequence of imperfect specificity (i.e. ~< 100%) is that if a large number of animals are tested from a population free of the disease in question, there is a significant chance of abnormal results. For example, if 10 independent samples were tested using a test with 90% specificity the probability of at least 1 positive test result occurring is 65%.</nowiki>
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Selection of the appropriate cut-off value will depend on a number of issues including the relative cost of false positives and false negatives, the stage of an eradication program, if any, and the availability of other tests. An important consequence of imperfect specificity (i.e. ~< 100%) is that if a large number of animals are tested from a population free of the disease in question, there is a significant chance of abnormal results. For example, if 10 independent samples were tested using a test with 90% specificity the probability of at least 1 positive test result occurring is 65%.
Revisi terkini pada 10 Mei 2015 14.40
Selection of the appropriate cut-off value will depend on a number of issues including the relative cost of false positives and false negatives, the stage of an eradication program, if any, and the availability of other tests. An important consequence of imperfect specificity (i.e. ~< 100%) is that if a large number of animals are tested from a population free of the disease in question, there is a significant chance of abnormal results. For example, if 10 independent samples were tested using a test with 90% specificity the probability of at least 1 positive test result occurring is 65%.
