DIRECTMA: Stata module to conducts multiple pair-wise meta-analysis (head-to-head comparisons) and export the pooled results to Excel

Zhen Wang () and M.Hassan Murad ()
Additional contact information
Zhen Wang: Mayo Clinic
M.Hassan Murad: Mayo Clinic

Statistical Software Components from Boston College Department of Economics

Abstract: directma conducts multiple pair-wise meta-analysis (head-to-head comparisons) in one single command. All pooled results are suppressed (aka. no terminal/windows output) and exported to a Microsoft Excel file. directMA supports multiple random effects models, including the DerSimonian and Laird (D-L) method, Peto's method for odds ratio, Restricted Maximum Likelihood, Maximum Likelihood, Profile Likelihood, Knapp and Hartung method, and Empirical Bayes. Fixed effect model is also supported.

Language: Stata
Requires: Stata version 13
Keywords: meta-analysis; random effects; odds ratios; forest plot (search for similar items in EconPapers)
Date: 2017-12-13
Note: This module should be installed from within Stata by typing "ssc install directma". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/directma.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/directma.sthlp 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: https://EconPapers.repec.org/RePEc:boc:bocode:s458441

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 Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().