Evidence-Based Diagnosis (2nd Edition) is  a fun but rigorous introduction to Clinical Epidemiology. Authored by Tom Newman and Michael A. Kohn and illustrated by Martina A. Steurer, the book was written primarily for clinicians, particularly those who are academically minded, but it should be helpful and accessible to anyone involved with selection, development, or marketing of diagnostic, prognostic, or screening tests.

The website for the book is a great companion to DCR-5’s Chapter 13, with a Likelihood Ratio Slide Rule that will help you understand how pretest probability and the test result’s likelihood ratio combine to give post-test probability.

There’s also a Regret Graph Calculator, that will help you visualize how the relative cost of false-positive vs, false negative and sensitivity and specificity determine the testing thresholds for a diagnostic test.