## Learning Objectives

after the completion of this module, the student will be able to

- define and discuss the concepts of sensitivity and specificity in the context of diagnostic medical tests
- false positive and false negative
- define and produce a receiver operating curve and discuss its role in assessing

how well a test can discriminate between categories

## Knowledge and Skills

- produce graphs in EXCEL (scatter plot)
- calculate the likelihood of a patient having a disease based on the outcome of

the result of a diagnostic medical test with given sensitivity and specificity and

prevalence of the disease in the general population - calculate sensitivity and specificity based on a data set, graph the corresponding receiver operating curve (ROC)
- interpret ROC and AUC

## Prerequisites

- frequency interpretation of probability
- conditional probability and Bayes Theorem