Meta-analysis in Stata

Yulia Marchenko ()
Additional contact information
Yulia Marchenko: StataCorp LP

London Stata Conference 2019 from Stata Users Group

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.

Date: 2019-09-15
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/usug2019/Marchenko_uk19.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:usug19:18

Access Statistics for this paper

More papers in London Stata Conference 2019 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().