Evidence-Based Diagnosis (Cambridge Medicine)
"The authors apply years of experience in both the clinic and classroom to address a broad clinical audience. The book is geared toward residents, fellows, and junior faculty, although students could make use of it early in their evidence-based medicine training...Topics covered range from common terms in evidence-based medicine -- sensitivity, specificity, and positive and negative predictive values -- to those less thoroughly addressed by some resources in the field, such as measures of reliability, likelihood ratios, and propensity scores. The authors provide many illustrative, clinically relevant examples and sample problems, along with a detailed answer key...The format will appeal most strongly to readers interested in the statistical underpinnings of evidence-based diagnosis.">Doody's Review Service<br>"The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers. This is reflected in the selection of applications, case studies and the problems adapted for self-studies, with solutions supplied at the end of the book.">European Journal of Public Health<br>"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 2010; 10(1):75<br>"This is a book on diagnostic testing aimed at an audience of clinicians, with those of an academic interest in focus, but it should also be of great value for anyone with an interest of practical applications of evidence-based medicine... The book has an appealing pedagogical touch and shows that the authors have a long experience as teachers... For those with basic knowledge of statistics, this is an excellent follow-up and in-depth continuation into applications on diagnostic tests and treatment effect analysis.">Lennart Bodin, European Journal of Public Health 2009;20(1):120<br>" The amazing part is that the authors explain complex concepts with minimal math, to avoid frustrating the novice clinician... For those with a basic level of knowledge, this is an excellent resource to enhance and expand your understanding of diagnostic testing and its applications in trials."