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Product Description
The second edition of this best–selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta–analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.
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The second edition of this best–selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta–analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.
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First Sentence
The volume of data that need to be considered by practitioners and researchers is constantly expanding. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The volume of data that need to be considered by practitioners and researchers is constantly expanding. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
4 of 4 people found the following review helpful
If you're serious about meta-analysis, this is THE book to get. It's not an idiot's guide - it's a detailed reference book that covers all the methods in great detail. There's even a chapter on how to use certain software. It's written clearly, and you'll not need much else for most forms of meta-analysis. If you want some references for rare Bayesian network meta-anaysis or unusual methods, then go for Sutton's "Methods for meta-analysis in medical research", but you'll probably still want to get Egger's book anyway.
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2 reviews
10 of 10 people found the following review helpful
Excellent text that is easy to understand
11 Mar 2007
This book is written to be understood and used. Everything is easily accessible, even for the relatively innumerate, and presented in clear, easy English. The authors are to be congratulated on excellent pedagogical prose.
The major downside was a skinny statistical section that lacked depth (what was present was VERY clear however). Since the majority of the book is low-level, big-picture explanations of the principles of meta-analysis, I think that an expanded statistical section would not detract. In fact, because the rest of the book is so well explained, I suspect that most readers would have a good appetite for implementing the ideas presented. Those not inclined to read more details on implementation could just skip this section. In particular, I wished the authors had discussed how to combine simple proportions and rates across studies. This is arguably the simplest form of meta-analysis and the one for which nearly no advice exists to guide practise! There are tons of ways to transform and combine rates/proportions and these should have been developed, compared and constrasted for different scenarios. Similarly, I wish that even more Bayesian methods would be presented.
Lastly, the software section is old. New ideas using R, Revman, Bugs and other FREE software should be encouraged. Software that costs big dollars is probably not the best thing to present in an international book. Everyone should be able to reproduce the results at their home. Free software ensures this.
The major downside was a skinny statistical section that lacked depth (what was present was VERY clear however). Since the majority of the book is low-level, big-picture explanations of the principles of meta-analysis, I think that an expanded statistical section would not detract. In fact, because the rest of the book is so well explained, I suspect that most readers would have a good appetite for implementing the ideas presented. Those not inclined to read more details on implementation could just skip this section. In particular, I wished the authors had discussed how to combine simple proportions and rates across studies. This is arguably the simplest form of meta-analysis and the one for which nearly no advice exists to guide practise! There are tons of ways to transform and combine rates/proportions and these should have been developed, compared and constrasted for different scenarios. Similarly, I wish that even more Bayesian methods would be presented.
Lastly, the software section is old. New ideas using R, Revman, Bugs and other FREE software should be encouraged. Software that costs big dollars is probably not the best thing to present in an international book. Everyone should be able to reproduce the results at their home. Free software ensures this.
7 of 9 people found the following review helpful
Classic definitive textbook in meta-analysis!
21 Mar 2007
This classic book by the legendary experts in meta-analysis and systematic review, Mattias Egger, George Davey Smith, and Doug Altman, is considered the most pre-eminent and most definitive textbook in this area. No other books can compare! Very easy to read with clear explanations, this is the most trusty reference textbook to own when doing systematic reviews and meta-analyses.
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