diagTests : Diagnostic Tests« Back to Modules List
AuthorEric A Cohen
File Size489.3 KB
DescriptionThis module concentrates on the ideas of evaluating a (binary) diagnostic test: the gold standard, false positives and negatives, sensitivity and specificity, positive and negative predictive values. It has the user create R code to calculate the above values for a given cutoff level of a test in a simulated population, and then do this repeatedly to see the tradeoff between sensitivity and specificity in a test. Finally it has the user apply their code to evaluate these measures for the same test on a simulated population with high prevalence, and then with low prevalence, to see that PV+ and PV_ depend on the population as well as the test.
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