IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457058.html
 

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

Author

Listed:
  • Pantelis Bagos

    () (University of Central Greece)

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.
    as

    Download full text from publisher

    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

    More about this item

    Keywords

    meta-analysis; trends; Proteus;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s457058. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: http://edirc.repec.org/data/debocus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.