Question

In medical diagnosis, test sensitivity is the ability of a test to correctly identify those with the disease (true positive rate), whereas test specificity is the ability of the test to correctly identify those without the disease (true negative rate). This means that:

• Sensitivity of test = P(test is positive | person has disease);

• Specificity of test = P(test is negative | person does not have disease).

Suppose that 1% of the population have a particular disease, and that a test for that disease has Sensitivity = 0.95 and Specificity = 0.9. What percentage of positive test results will be false alarms?

Answer 1

TOPIC:Application of the Bayes' theorem.