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How to Read a Paper
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Produktbeschreibungen
Pressestimmen
"One of the greatest aspects of this book is the section relating to searching the literature and whilst we may think we may all practise this on a fairly regular basis under the assumption that we do a pretty decent job of it, this section holds the key to excelling." (Urology News, May/June 2009)
Kurzbeschreibung
How to Read a Paper is one of the bestselling texts on evidence-based medicine, used by health care professionals and medical students worldwide. Trisha Greenhalgh's ability to explain the basics of evidence-based medicine in an accessible and readable way means the book is an ideal introduction for all, from first year students to experienced practitioners.
This is a text that explains the meaning of critical appraisal and terms such as 'numbers needed to treat', 'how to search the literature', 'evaluate the different types of papers' and 'put the conclusions to clinical use'.
New features of the third edition include:
* New discussion putting evidence-based medicine into the current context, with more emphasis on patient perspectives
* Increased coverage of qualitative research in evidence-based medicine
* New information on literature sources and search mechanisms
This is a text that explains the meaning of critical appraisal and terms such as 'numbers needed to treat', 'how to search the literature', 'evaluate the different types of papers' and 'put the conclusions to clinical use'.
New features of the third edition include:
* New discussion putting evidence-based medicine into the current context, with more emphasis on patient perspectives
* Increased coverage of qualitative research in evidence-based medicine
* New information on literature sources and search mechanisms
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Einleitungssatz
Evidence-based medicine (EBM) is much more than just reading papers. Lesen Sie die erste Seite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
Evidence-based medicine (EBM) is much more than just reading papers. Lesen Sie die erste Seite
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
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Kundenrezensionen
Die hilfreichsten Kundenrezensionen
4 von 7 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
Greenhalgh's book is a good place to start if you want to learn how to consume research articles. The target audience for this book is those primarily interested in health research, but it useful for all those who must make their way through journal articles. Greenhalgh goes through the basics and touches on important issues. However, it is important to point out that this book is only a first step in understanding how to read journal articles.
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com:
10 Rezensionen
17 von 18 Kunden fanden die folgende Rezension hilfreich
A good place to start
31. März 2000
Format:Taschenbuch
Greenhalgh's book is a good place to start if you want to learn how to consume research articles. The target audience for this book is those primarily interested in health research, but it useful for all those who must make their way through journal articles. Greenhalgh goes through the basics and touches on important issues. However, it is important to point out that this book is only a first step in understanding how to read journal articles.
12 von 13 Kunden fanden die folgende Rezension hilfreich
Good guide to EBM
15. Juli 2001
Format:Taschenbuch
Greenhalgh's book is a great read for someone familiar with medical and research terminology. As a med student, I loved it and found it very practical. It contains a great deal of material on how to evaluate the type, methodology, and statistical methods of research papers. There is no glossary, and in places the layout is hard to look at.
8 von 9 Kunden fanden die folgende Rezension hilfreich
A lot of qualitative info to better assess quantitative medical research
15. August 2009
Format:Taschenbuch|Von Amazon bestätigter Kauf
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. Her introduction to Bayesian statistics in chapter seven is really clear. She explains the likelihood ratio in the most straightforward way I have seen yet. Her chapter on economic analysis is surprisingly insightful as she defines all the different types of such analysis. Appendix I consists in a very rich set of checklists for finding, appraising, and implementing [medical] evidence. It is a good reference guide to the entire material within the book. Her chapter on statistics for the non-statisticians is outstanding. She actually teaches you a lot about statistics without going into the math. She even uncovers several traps that many professional statisticians may fall into especially when blinded by economic interests. Her discussion on distinguishing causation from correlation or regression is well thought out.
In summary, this book offers a lot of valuable qualitative information to better interpret quantitative research for both the layperson and the expert alike.
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. Her introduction to Bayesian statistics in chapter seven is really clear. She explains the likelihood ratio in the most straightforward way I have seen yet. Her chapter on economic analysis is surprisingly insightful as she defines all the different types of such analysis. Appendix I consists in a very rich set of checklists for finding, appraising, and implementing [medical] evidence. It is a good reference guide to the entire material within the book. Her chapter on statistics for the non-statisticians is outstanding. She actually teaches you a lot about statistics without going into the math. She even uncovers several traps that many professional statisticians may fall into especially when blinded by economic interests. Her discussion on distinguishing causation from correlation or regression is well thought out.
In summary, this book offers a lot of valuable qualitative information to better interpret quantitative research for both the layperson and the expert alike.
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