How to Read a Paper [Illustrated] [Paperback]
Author: Trisha Greenhalgh | Language: English | ISBN: 0727915789 | Format: PDF, EPUB
How to Read a Paper
Download books file now How to Read a Paper from with Mediafire Link Download Link
Download books file now How to Read a Paper from with Mediafire Link Download Link
In this lucid, readable book Trisha Greenhalgh provides the basics of evidence based medicine: how to find a medical research paper, assess it for its scientific validity, and where relevant, put the findings into practice.
Written for anyone, medically qualified or not, who wishes to understand and apply evidence based medicine, How to Read a Paper makes seemingly obscure concepts clear and relevant, using practical examples and considering all the main types of research paper.
This book is a comprehensive introduction to the usefulness and potential applications of evidence based medicine in the clinical setting.
Direct download links available for How to Read a Paper [Illustrated] [Paperback] Written for anyone, medically qualified or not, who wishes to understand and apply evidence based medicine, How to Read a Paper makes seemingly obscure concepts clear and relevant, using practical examples and considering all the main types of research paper.
This book is a comprehensive introduction to the usefulness and potential applications of evidence based medicine in the clinical setting.
- Series: HOW - How To
- Paperback: 240 pages
- Publisher: BMJ Publishing Group; 2 edition (November 1, 2000)
- Language: English
- ISBN-10: 0727915789
- ISBN-13: 978-0727915788
- Product Dimensions: 8.4 x 5.2 x 0.7 inches
- Shipping Weight: 10.6 ounces
- Amazon Best Sellers Rank: #1,400,929 in Books (See Top 100 in Books)
- #76 in Books > Textbooks > Medicine & Health Sciences > Medicine > Special Topics > Essays
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.
No comments:
Post a Comment