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Answer :
The test's measures are as follows:
A. Sensitivity: 95%
B. Specificity: 85%
C. Positive Predictive Value: 55%
D. Negative Predictive Value: 99%
E. Accuracy: 89%
F. Prevalence Rate: 16%
How to solve for the tests measures
Given the following information:
TP = 152 (correctly identified cases of thyroid cancer)
FN = 160 - TP = 8 (cases of thyroid cancer missed by the test)
TN = 714 (correctly identified individuals without thyroid cancer)
FP = 840 - TN = 126 (individuals without thyroid cancer incorrectly identified as having thyroid cancer)
We can now calculate the various measures:
A. Sensitivity:
Sensitivity = TP / (TP + FN) = 152 / (152 + 8) = 0.95 or 95%
B. Specificity:
Specificity = TN / (TN + FP) = 714 / (714 + 126) = 0.85 or 85%
C. Positive Predictive Value (PPV):
PPV = TP / (TP + FP) = 152 / (152 + 126) = 0.55 or 55%
D. Negative Predictive Value (NPV):
NPV = TN / (TN + FN) = 714 / (714 + 8) = 0.99 or 99%
E. Accuracy:
Accuracy = (TP + TN) / (TP + TN + FP + FN) = (152 + 714) / (152 + 714 + 126 + 8) = 0.89 or 89%
F. Prevalence Rate:
Prevalence Rate = (TP + FN) / (TP + TN + FP + FN) = (152 + 8) / (152 + 714 + 126 + 8) = 0.16 or 16%
Therefore, based on the given information, the test's measures are as follows:
A. Sensitivity: 95%
B. Specificity: 85%
C. Positive Predictive Value: 55%
D. Negative Predictive Value: 99%
E. Accuracy: 89%
F. Prevalence Rate: 16%
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