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Mei 26, 2010
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Product details
File Size: 6177 KB
Print Length: 506 pages
Publisher: BMJ Books; 2 edition (July 1, 2013)
Publication Date: July 1, 2013
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B0114IHU04
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Amazon Best Sellers Rank:
#1,549,325 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
A little dated at this point, but still an excellent primer. Not a lot of math or specifics on how to do. Great sense of what matters and why though. Adds a feel for the process if not arming the reader with a lot of how tos.
A necessary purchase for grad school.
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.
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.
Excellent
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