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

Author

Listed:
  • Pantelis Bagos

    (University of Central Greece)

Programming Language

Stata

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.

Suggested Citation

  • Pantelis Bagos, 2009. "METATREND: Stata module to implement regression methods for detecting trends in cumulative meta-analysis," Statistical Software Components S457058, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457058
    Note: This module should be installed from within Stata by typing "ssc install metatrend". 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.
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metatrend.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/metatrend.hlp
    File Function: help file
    Download Restriction: no
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    More about this item

    Keywords

    meta-analysis; trends; Proteus; Stata;
    All these keywords.

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