Evidence-Based Diagnosis

Klappentext For researchers, clinicians, and other health professionals looking to select, develop, or apply medical tests. Zusammenfassung Evidence-Based Diagnosis explains diagnostic! screening! and prognostic tests in clinical medicine! and is of great use to anyone looking to select! develop! or apply medical tests. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles. Inhaltsverzeichnis 1. Introduction: understanding diagnosis and diagnostic testing; 2. Reliability and measurement error; 3. Dichotomous tests; 4. Multilevel and continuous tests; 5. Critical appraisal of studies of diagnostic tests; 6. Screening tests; 7. Prognostic tests and studies; 8. Multiple tests and multivariable decision rules; 9. Quantifying treatment effects using randomized trials; 10. Alternatives to randomized trials for estimating treatment effects; 11. Understanding P-values and confidence intervals; 12. Challenges for evidence-based diagnosis.

Product details

• Authors: Michael A. Kohn, Michael A. (University of California Kohn, Thomas B. Newman, Thomas B. (University of California Newman, Thomas B. Kohn Newman
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 16.02.2009
• EAN: 9780521714020
• ISBN: 978-0-521-71402-0
• No. of pages: 312
• Series: Cambridge Medicine (Paperback); Cambridge Medicine (Paperback)
• Subject: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine