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True negatives divided by the sum of the true negatives and false positives
62%
828/1330
True negatives divided by the sum of the true negatives and false negatives
13%
167/1330
True positives divided by the sum of the true negatives and false positives
5%
61/1330
True positives divided by the sum of the true positives and false negatives
12%
156/1330
True positives divided by the sum of the true positives and false positives
8%
110/1330
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Specificity is the probability that a test result will be negative in patients without disease (answer 1). The sensitivity is the probability that a test result will be positive in patients with disease (answer 4). The positive predictive value is the number of patients with a positive test result who are correctly diagnosed and the negative predictive value is the opposite of this (answers 5 and 2, respectively). The referenced review article by Kocher describes many of the statistical tools useful for practicing orthopaedic surgeons.
4.2
(29)
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