ROC curves are most useful in assessing the performance of quantitative laboratory analyses because:
A) multiple tests for the same analyte can be evaluated at one time.
B) they can display performance of tests over the entire range of decision values.
C) they allow specific reference intervals to be determined for each analysis.
D) they can evaluate combination testing in a single plot.
Correct Answer:
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Q2: A receiver operating characteristic (ROC)curve is a
Q3: In regard to the number of true-positive
Q4: Calculate the sensitivity for the following data:
Q5: To calculate the sensitivity of a laboratory
Q6: A method that can be used to
Q7: True negatives ÷ (false positives + true
Q8: Combination testing involves the use of multiple
Q9: A laboratory analysis that produces quantitative results
Q10: In regard to clinical evaluation of method,a
Q11: To calculate the predictive value of a
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