Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology

by Thomas B. Newman, Michael A. Kohn

Medicine is becoming increasingly reliant on diagnostic, prognostic and screening tests for the successful treatment of patients. With new tests being developed all the time, a more informed understanding of the benefits and drawbacks of these tests is crucial. Providing readers with the tools needed to evaluate and interpret these tests, numerous real-world examples demonstrate the practical application and relevance of the material. The mathematics involved are rigorously explained using simple and informative language. Topics covered include the diagnostic process, reliability and accuracy of tests, and quantifying treatment benefits using randomized trials, amongst others. Engaging illustrations act as visual representations of the concepts discussed in the book, complementing the textual explanation. Based on decades of experience teaching in a clinical research training program, this fully updated second edition is an essential guide for anyone looking to select, develop or market medical tests.

371 pages, ebook

First published January 1, 2009

Reviews

[Zachary Renfro · Rating 4 out of 5]

Very clear and well written book that explains some rather complicated ideas about the use and evaluation of diagnostic testing.