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Most Helpful Customer Reviews
12 of 13 people found the following review helpful:
5.0 out of 5 stars
The best introduction to clinical epidemiology.,
By Edwin Trevathan, M.D., M.P.H.(trevathan_e@kid... (Washington University, St. Louis) - See all my reviews
This review is from: Clinical Epidemiology (Paperback)
Sackett and colleagues have written the best introduction to clinical epidemiology for students and clinicians. Their approach helps clinicians and investigators see the value and pitfalls of quantitative approaches to clinical research. The explanations of Diagnosis and Management and the relationship between common clinical tools and epidemiology form the basics for the student to understand the emerging field of technology assessment in medicine. This book is must reading for the serious clinical investigator and student alike.
7 of 8 people found the following review helpful:
5.0 out of 5 stars
Excellent, concise review of practical techniques,
By barrett_slenning@ncsu.edu (College of Vet Med, Raleigh, NC, USA) - See all my reviews
This review is from: Clinical Epidemiology (Paperback)
Sackett's book is a classic. It walks the new or old and grizzled reader through the techniques of literature review, test interpretation, and probability-based clinical decision making. It has pocket cards attached to help with a variety of analytical and interpretive activities. It is a must read by anybody who wants to practice quality medicine. Hopefully, that's all of us.
5.0 out of 5 stars
Most important text,
By
This review is from: Clinical Epidemiology (Paperback)
Sackett et al have written a true gold-standard text which should be essential to all students of medicine with an interest in critical decision making. I first read and used this text as a medical student and revisited it over the past few years. It takes the reader through increasingly sophisticated techniques of making clinical decisions. Sections on interpreting diagnostic tests and treatments are clear and well written. This book will help the reader develop an understanding of Bayes theorem and how to apply this to decision making. As we increasingly embrace evidence based medicine and practice it is essential to understand the underpinnings of interpretation. This text takes on an important journey to develop these tools.
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