Medicine is becoming increasingly reliant on prognostic, diagnostic, 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. Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology 2nd edition (PDF) provides 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 is rigorously explained using simple and informative language. Topics covered include the reliability, diagnostic process, 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 ebook, complementing the textual explanation. Based on decades of experience teaching in a clinical research training program, this fully updated 2nd edition is an essential guide for anyone looking to develop, select, or market medical tests.
NOTE: Only includes the ebook Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology 2e in PDF.
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