In: Statistics and Probability
Consider a diagnostic test for a hypothetical disease based on measuring the amount of a
certain biomarker present in blood. High levels of the biomarker are often found in individuals
with the disease, but a number of non-disease conditions can also cause high levels
of the biomarker. Individuals without the disease have biomarker levels that are normally
distributed with mean 1.6 ng/mL (nanograms per milliliter of blood), and standard deviation
0.50 ng/mL. Individuals with the disease have biomarker levels that are normally
distributed with mean 5 ng/mL and standard deviation 1.2 ng/mL. Values of 2.5 ng/mL
and higher constitute a positive test result. Compute the accuracy of the test for those who have the disease and the accuracy of
the test for those who do not have the disease.
For those without the disease, we are given the distribution here as:
The accuracy here is determined by finding the probability of a
negative result. Therefore the accuracy for non disease subjects is
computed here as:
P( X < 2.5)
Converting it to a standard normal variable, we have here:
Getting it from the standard normal tables, we have here:
therefore for those who do not have the disease, the accuracy of the test is 96.41%.
Now for those with the disease the distribution is given here as:
The probability accuracy or the probability of correct result here is computed as:
P(X > 2.5)
Converting it to a standard normal variable, we have here:
Getting it from the standard normal tables, we have here:
therefore 98.14% is the required accuracy here.