HETEROGI: Stata module to quantify heterogeneity in a meta-analysis

Nicola Orsini, Matteo Bottai (), Julian Higgins () and Iain Buchan ()
Additional contact information
Matteo Bottai: Dep. Epidemiology and Biostatistics, University of South Carolina
Julian Higgins: MRC Biostatistics Unit, Cambridge, UK
Iain Buchan: Northwest Institute for Bio-Health Informatics, University of Manchester, UK

Statistical Software Components from Boston College Department of Economics

Abstract: heterogi is an immediate command that provides the statistics H and I^2 to quantify heterogeneity in a meta-analysis.

Language: Stata
Requires: Stata version 8
Keywords: meta-analysis; heterogeneity (search for similar items in EconPapers)
Date: 2005-02-16, Revised 2006-01-25
Note: This module should be installed from within Stata by typing "ssc install heterogi". Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/heterogi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/heterogi.hlp help file (text/plain)

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: http://EconPapers.repec.org/RePEc:boc:bocode:s449201

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics
Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Contact information at EDIRC.
Series data maintained by Christopher F Baum ().