METATREND: Stata module to implement regression methods for detecting trends in cumulative meta-analysis

Pantelis G. Bagos ()

Statistical Software Components from Boston College Department of Economics

Abstract: metatrend performs a cumulative meta-analysis (Lau et al, 1995) using the DerSimonian and Laird random-effects method and afterwards, performs two tests for assesing the "Proteus" phenomenon (i.e. the appearence of an early extreme estimate that is refuted by subsequent research). The first method is the so-called "first vs. subsequent" approach (Ioannidis and Trikalinos, 2005). The second method, consists of performing a GLS regression of the cumulative logOR on the rank of the studies using an AR(1) process to handle the serial correlation.

Language: Stata
Requires: Stata version 8.0
Keywords: meta-analysis; trends; Proteus (search for similar items in EconPapers)
Date: 2009-06-09
Note: This module should be installed from within Stata by typing "ssc install metatrend". 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/m/metatrend.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metatrend.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:s457058

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 ().