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While this is a useful approach for estimating sensitivity and specificity in the absence of suitable comparative test data, it does depend on the assumptions that the test results follow the theoretical distributions calculated and that the sample tested is representative of the population at large. If the actual results deviate significantly from the theoretical distributions, or the sample is biased, estimates will also be biased.