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Meta-Analysis in Stata: An Updated Collection from the Stata Journal, Second Edition 2nd Edition

3.6 out of 5 stars 10 ratings

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Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature.

Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.

Editorial Reviews

About the Author

Tom M. Palmer is a lecturer in statistics in the Department of Mathematics and Statistics at Lancaster University, UK. He is the author of the confunnel command for contour-enhanced funnel plots. His research focuses on statistical methodology for epidemiological studies, including Mendelian randomization studies. He is also the author of several other Stata commands, including bpbounds, the reffadjust package, and the winbugsfromstata package.

Jonathan A. C. Sterne is professor of medical statistics and epidemiology and of social and community medicine, University of Bristol, UK. His research interests include methods for systematic reviews and meta-analyses, the clinical epidemiology of HIV and AIDS in the era of effective therapy, statistical methods for epidemiology, and the epidemiology of asthma and allergic diseases.

Product details

  • Publisher ‏ : ‎ Stata Press; 2nd edition (October 8, 2015)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 534 pages
  • ISBN-10 ‏ : ‎ 1597181471
  • ISBN-13 ‏ : ‎ 978-1597181471
  • Item Weight ‏ : ‎ 2.26 pounds
  • Dimensions ‏ : ‎ 7.2 x 1.3 x 9.3 inches
  • Customer Reviews:
    3.6 out of 5 stars 10 ratings

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Top reviews from the United States

  • Reviewed in the United States on January 26, 2018
    this is probably the only book or source on Meta-analysis with Stata and for that I would give 3 stars however it leaves a lot to be desired.
    I am pretty fluent with Stata and with Meta-anlaysis using other packages yet I am finding hard time following through this book.

    It is little unconventional in that it is a collection of Stata Journal and technical Bulletin articles and doesn't give any instruction on the routines. It is though probably the only attempt that I know of that tried to address the wild wide west that is meta-analysis commands in Stata. There is significant room for improvement and there seems to be some degree of repetition of articles, they should just keep the latest.
    The authors are the original authors of the Metan command and some of the articles are written by big names in the MA world.

    The book could also use some organization in the sense that it should follow an instructional model with more explanation and provision of their example datasets for simulation.
    2 people found this helpful
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Top reviews from other countries

  • Reviewer 2
    1.0 out of 5 stars No tables
    Reviewed in Mexico on June 25, 2017
    Some of the most important information of the book is on tables and they are not included in he Kindle version.
    I want a refund.
  • Paola
    5.0 out of 5 stars Five Stars
    Reviewed in the United Kingdom on October 30, 2017