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If a patient tests positive for a rare disease, which consequence follows for the predictive value of the test?

A)Always equals the test's sensitivity
B)Equals disease prevalence in population
C)Increases with higher test specificity
D)Decreases given perfect sensitivity

💡 Explanation

The predictive value of a positive test increases with specificity due to Bayes' Theorem, because a higher specificity reduces the chance of false positives, therefore increasing the probability that a positive result is a true positive, rather than arising from low specificity.

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