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Evidence-Based Diagnosis (Cambridge Medicine) [Paperback]

Thomas B. Newman , Michael A. Kohn
5.0 out of 5 stars  See all reviews (8 customer reviews)

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Book Description

February 16, 2009 0521714028 978-0521714020 1
Evidence-Based Diagnosis is a textbook about 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 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.

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Evidence-Based Diagnosis (Cambridge Medicine) + Designing Clinical Research
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Editorial Reviews

Review

"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

"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

"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

"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

" 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."
Abhinav Chandra, Academic Emergency Medicine 2010;17(6):e51

Book Description

Evidence-Based Diagnosis is a textbook about diagnostic, screening, and prognostic tests in clinical medicine. The book will be helpful and accessible to anyone looking to select, develop, or market medical tests. The book includes numerous worked examples and 60 problems (with answers) based on real clinical situations and journal articles.

Product Details

  • Series: Cambridge Medicine
  • Paperback: 312 pages
  • Publisher: Cambridge University Press; 1 edition (February 16, 2009)
  • Language: English
  • ISBN-10: 0521714028
  • ISBN-13: 978-0521714020
  • Product Dimensions: 9.9 x 6.9 x 1 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #767,683 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews
4 of 4 people found the following review helpful
Format:Paperback
I'm always surprised and a little dismayed by the relative lack of evidence that seems to go in to so much clinical decision-making, especially when it comes to diagnostic tests. Its therefore gratifying to see Evidence-Based Diagnosis make the case for a more thoughtful and empirically grounded approach to treatment. This book is wonderfully clear and simple, presenting sophisticated statistical ideas with just enough math and no more. Clinicians and researchers should find the discussion of how to use data for decisions both engaging and useful - Josh Angrist
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3 of 3 people found the following review helpful
5.0 out of 5 stars Clearly written and easy to understand May 22, 2009
Format:Paperback
As a lay reader with an interest in medical decision-making, I've found this book a tremendous help in formulating questions to ask my own doctor. Particularly illuminating is the chapter on how to evaluate the benefit of diagnostic tests, which are now so frequently marketed directly to patients. The authors explain in clear language the wide variety of errors in the collection and interpretation of data which can lead astray even intelligent and honorable researchers. Especially helpful are the chapter-end problems, with complete solutions provided at the back of the book.
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3 of 3 people found the following review helpful
5.0 out of 5 stars Sophisticated concepts become comprehensible March 31, 2012
Format:Paperback|Verified Purchase
Epidemiology texts have a way of being totally confusing until the reader has an "ah hah" moment -- and the meaning of a concept sinks in. Not so with this book -- the authors seem to have empathy for the average reader, and are able to provide the necessary "revelation" through the clarity of their writing and their use of examples.

In an early chapter, for example,the authors are able to lead the reader down a logical path towards a sophisticated understanding of relatively easy terms like "sensitivity" and "specificity." Not impressed? Their subsequent explication of "likelihood ratios" and the relationship between LR's and ROC curves is, I believe, uniquely successful in making elegant concepts comprehensible.

For clinicians who would like to be guided by "evidence" and not blindly follow existing recommendations, this text explicates the complex vocabulary of EBM. Imagine finding that the methods sections of articles become interesting!
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2 of 2 people found the following review helpful
5.0 out of 5 stars Enjoy reading and learning December 9, 2010
By gpatama
Format:Paperback|Verified Purchase
I really like written style of this book. Feeling like an enthusiastic teacher is talking to. My favorite chapter is " critcal appraisal of studies of diagnostic tests" which explain diagnosis and screening bias in systematic and practical in the same time. This book also provide how to make sense with p value in fresh way. Recommend for who want to study another great evidence based diagnosis approach.
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