Author: Thomas B. Newman
Edition: 1
Publisher: Cambridge University Press
Binding: Hardcover
ISBN: 052188652X
Evidence-Based Diagnosis (Practical Guides to Biostatistics and Epidemiology)
Evidence-Based Diagnosis is a textbook about diagnostic, screening, and prognostic tests in clinical medicine. Medical books Evidence-Based Diagnosis . The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although requiring only a minimum of mathematics knowledge, 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. The book will be helpful and accessible to anyone seeking to select, develop, or market medical tests Medical books Evidence-Based Diagnosis. Categories: Evidence-Based Medicine, Diagnosis. Contributors: Thomas B. Newman - Author. Format: Hardcover
Download link for Evidence-Based Diagnosis
Categories: Evidence-Based Medicine, Diagnosis. Contributors: Thomas B. Newman - Author. Format: Hardcover
Categories: Evidence-Based Medicine, Diagnosis. Contributors: Thomas B. Newman - Author. Format: Hardcover
Categories: Evidence-Based Medicine, Diagnosis, Diagnosis, Surgica. Contributors: Thomas B. Newman - Author. Format: Hardcover
Evidence-Based Neuroimaging is a user-friendly guide that employs evidence-based medicine criteria to systematically review the evidence defining the appropriate use of medical imaging for the brain, spine, head, and neck. Edited by L. Santiago Medina, Pina C. Sanelli, and Jeffrey G. Jarvik, the book provides a systematic framework for understanding the best imaging choices for patient care. Chapters highlight key points that support clinical applications, allowing fast access to pertinent information including patient selection, imaging strategies, test performance, cost-effectiveness, and ap
Medical Book Evidence-Based Diagnosis
The authors' approach is based on many years of experience teaching physicians in a clinical research training program. Although requiring only a minimum of mathematics knowledge, 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. The book will be helpful and accessible to anyone seeking to select, develop, or market medical tests. Topics covered include: the diagnostic process, test reliability and accuracy, likelihood ratios, and ROC curves, 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 and challenges for evidence-based diagnosis and evidence-based medicine.
