Evidence-Based Diagnosis

by Thomas B. Newman, Michael A. Kohn

Evidence-Based Diagnosis explains diagnostic, screening, and prognostic tests in clinical medicine. The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although needing only a minimum of mathematics, the quantitative discussions in this book are deeper and more rigorous than in most introductory texts. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles. This book is a great choice for anyone looking to select, develop, or apply medical tests. Topics covered include: the diagnostic process; test reliability and accuracy; testing and treatment thresholds; critical appraisal of studies of diagnostic, screening and prognostic tests; test independence and methods of combining tests; quantifying treatment benefits using randomized trials and observational studies; Bayesian interpretation of P values and confidence intervals; challenges for evidence-based diagnosis; likelihood ratios and ROC curves.

  • Cambridge University Press; February 2009
  • ISBN: 9780511474613
  • Read online, or download in secure PDF or secure ePub format
  • Title: Evidence-Based Diagnosis
  • Author: Thomas B. Newman; Michael A. Kohn
  • Imprint: Cambridge University Press

In The Press

'This excellent new textbook thoroughly explains all aspects of a reasoned approach to diagnostic decision making … Evidence-Based Diagnosis should now become the definitive text for this corner of the evidence-based medicine library. It teaches the skills necessary to adopt a thoroughly reasoned diagnostic approach, and although aimed at academicians, it is written so that it can and should be used by a broader audience of trainees and clinicians.' Michael J. Steiner, Academic Pediatrics