How to Read a Paper: The Basics of Evidence-Based Medicine Paperback – May 24, 2010
Author: Visit Amazon's Trisha Greenhalgh Page | Language: English | ISBN: 1444334360 | Format: PDF, EPUB
How to Read a Paper: The Basics of Evidence-Based Medicine – May 24, 2010
You can download How to Read a Paper: The Basics of Evidence-Based Medicine Paperback – May 24, 2010 from with Mediafire Link Download Link Books with free ebook downloads available How to Read a Paper: The Basics of Evidence-Based Medicine – May 24, 2010
You can download How to Read a Paper: The Basics of Evidence-Based Medicine Paperback – May 24, 2010 from with Mediafire Link Download Link Books with free ebook downloads available How to Read a Paper: The Basics of Evidence-Based Medicine – May 24, 2010
- Paperback: 256 pages
- Publisher: BMJ Books; 4 edition (May 24, 2010)
- Language: English
- ISBN-10: 1444334360
- ISBN-13: 978-1444334364
- Product Dimensions: 8.4 x 5.4 x 0.6 inches
- Shipping Weight: 11.4 ounces
- Amazon Best Sellers Rank: #271,438 in Books (See Top 100 in Books)
This is a very readable and informative book on how to read and assess medical research papers. The author touches on something broadly applicable to almost any field, and that is how to exercise critical thinking, how to ask the right questions, what logical traps to avoid. This is so doctors don't get fooled by eager pharmaceuticals representatives; Also, for patients to educate themselves in Bayesian statistics so they can overcome their doctors flawed tests recommendations. This book will also help researchers conduct their own experiment in integer ways to derive informative results for society at large. It will also help policymakers not being fooled by flawed research studies.
The author has been criticized for not often technically describing the statistical tests she refers to. But, this was not the author's purpose. She states right upfront in the preface, if you want to dig deep into the technicalities get Clinical Epidemiology: A Basic Science for Clinical Medicine. The author has conveyed something more important than providing another treaty in statistical epidemiology. Frankly, if you are interested in the various statistical tests, Wikipedia will do just fine. But, what tests to use when and how are very important considerations she addresses with much expertise. What analytical framework and methodology to use in what research situation. How to judge if such research conducted by others used inappropriate frameworks. Those are tough issues often more difficult to handle proficiently than conducting statistical tests.
She provides extensive information on related subjects.
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