Introduction to Meta-Analysis Kindle Edition

Introduction to Meta-Analysis Kindle Edition
Author: Michael Borenstein ID: B00HCCX2N6

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File Size: 6348 KBPrint Length: 450 pagesPublisher: Wiley; 2 edition (August 24, 2011)Publication Date: August 24, 2011 Sold by:  Digital Services, Inc. Language: EnglishID: B00HCCX2N6Text-to-Speech: Enabled X-Ray: Not Enabled Word Wise: Not EnabledLending: Enabled Enhanced Typesetting: Not Enabled Best Sellers Rank: #333,227 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #18 in Kindle Store > Kindle eBooks > Nonfiction > Science > Biological Sciences > Biology > Biostatistics #50 in Kindle Store > Kindle eBooks > Medical eBooks > Research #201 in Books > Medical Books > Basic Sciences > Biostatistics
Meta-analysis is becoming more and more important in medical research. In my current job I am working on two projects where I am constructing meta-analyses. The pioneering book on this topic was the book by Hedges and Olkin which was the first to put statistical rigor to research synthesis which had previously been done using very ad hoc methods. I have in the past had experience with using published p-values for combination in meta-analysis. It has been more than twenty years since that book came out. You can look a my listmania on meta-analysis to see the various books thyat are currently on the market. Many are theoretical but do not give a good feel for applications. Various approaches have been proposed. There are texts on Bayesian meta-analyse and meta-analyses based on the profile likelihood approach. Some cover p-value combination tests. Some cover special topics such as effect size estimation, mixed modeling approaches.

This book is introductory and is written so clearly that it is useful to research statisticians and novices. Anyone interested in learning about meta-analysis can go to this book and learn a lot from it. Its outstanding features include its organization which divides the text into 10 topicla areas. Each area contains several chapters. Each chapter begins with an introduction and ends with a review of keypoints in bullet form. Key equations are laid out in boxes. The writing is clear and concise. Important concepts are covered first. While the coverage emphasizes methods that combine effect sizes from multiple studies the coverage is very comprehensive and all approaches and issues are touched on or discussed in detail.
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