Evidence-Based Diagnosis explains diagnostic, screening, and prognostic testsin 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 includesnumerous 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. Quantitative discussions that go deeperand are more rigorous than those typically found in introductory clinical epidemiology or evidence-based medicine texts, yet that are explained in simple, intuitive terms using real examples. Presents a pedagogic approach developed over years of teaching this material to physicians, mostly fellows and junior faculty in a clinical research training program. Includes more than 50 classroom-tested problems (with answers) taken from the literature on diagnostic testing INDICE: 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.
- ISBN: 978-0-521-71402-0
- Editorial: Cambridge University
- Encuadernacion: Rústica
- Páginas: 312
- Fecha Publicación: 01/05/2009
- Nº Volúmenes: 1
- Idioma: Inglés