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Meta-analysis in Stata

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  • Yulia Marchenko

    (StataCorp LP)

Abstract

Meta-analysis combines results of multiple similar studies to provide an estimate of the overall effect. This overall estimate may not always be representative of a true effect. Often, studies report results that vary in magnitude and even direction of the effect, which leads to between-study heterogeneity. And sometimes the actual studies selected in a meta-analysis are not representative of the population of interest, which happens, for instance, in the presence of publication bias. Meta-analysis provides the tools to investigate and address these complications. Stata has a long history of meta-analysis methods contributed by Stata researchers. In my presentation, I will introduce Stata's new suite of commands, meta, and demonstrate it using real-world examples.

Suggested Citation

  • Yulia Marchenko, 2019. "Meta-analysis in Stata," London Stata Conference 2019 18, Stata Users Group.
    • Handle: RePEc:boc:usug19:18
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    File URL: http://repec.org/usug2019/Marchenko_uk19.pdf
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