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.
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1. Introduction: Understanding Diagnosis and Evidence-Based Diagnosis; 2. Dichotomous Tests; 3. Multilevel and Continuous Tests; 4. Critical Appraisal of Studies of Diagnostic Test Accuracy; 5. Reliability and Measurement Error; 6. Risk Predictions; 7. Multiple Tests and Multivariable Decision Rules; 8. Quantifying Treatment Effects Using Randomized Trials; 9. Alternatives to Randomized Trials for Estimating Treatment Effects; 10. Screening Tests; 11. Understanding P-Values and Confidence Intervals; 12. Challenges for Evidence-Based Diagnosis; Problems and Answers; Index
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Explains the mathematics involved in understanding and choosing an array of diagnostic and prognostic tests, in order to improve treatment.

Produktdetaljer

ISBN
9781108436717
Publisert
2020-06-25
Utgave
2. utgave
Utgiver
Vendor
Cambridge University Press
Vekt
650 gr
Høyde
235 mm
Bredde
156 mm
Dybde
16 mm
Aldersnivå
G, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
405

Biographical note

Thomas B. Newman is the Professor Emeritus of Epidemiology & Biostatistics and Pediatrics at the University of California San Francisco, USA. Michael A. Kohn is a Professor of Epidemiology & Biostatistics at the University of California San Francisco, USA.