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Meta-Analysis in Stata: An Updated Collection from the Stata Journal

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Editor Info
Jonathan A.C. Sterne
Abstract

Meta-Analysis in Stata: An Updated Collection from the Stata Journal, edited by Jonathan A. C. Sterne, gathers all the Stata Journal articles about meta-analysis into one place. Interestingly, meta-analysis in Stata is one of Stata’s strengths, yet all the commands to implement it are user-written. Having nowhere to look in the Stata documentation made it tedious for those interested in meta-analysis to gather the requisite packages and documentation. Well, no more! With this meta-analysis collection, researchers can find what they need quickly and efficiently. Moreover, many of the articles and associated software have been updated for the collection. In particular, support for modern Stata graphics has been added to several commands.

Download Info
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File URL: http://stata-press.com/books/mais_intro.pdf
File Format: application/pdf
File Function: downloadable introduction
Download Restriction: no
File URL: http://www.stata-press.com/data/mais.html
File Format: text/html
File Function: link to downloadable datasets
Download Restriction: no

Publisher Info
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
This book is provided by StataCorp LP in its series Stata Press books with number mais and published in 2009.

ISBN: 1-59718-049-1
Order: http://stata-press.com/books/mais.html
Handle: RePEc:tsj:spbook:mais

Contact details of provider:
Web page: http://www.stata-press.com/

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: meta-analysis; diagnostic accuracy; dose-response curves;

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

Statistics
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This page was last updated on 2009-10-31.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.