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Updated tests for small-study effects in meta-analyses

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Author Info

  • Roger M. Harbord

    ()
    (University of Bristol)

  • Ross J. Harris

    ()
    (Health Protection Agency, UK)

  • Jonathan A. C. Sterne

    (University of Bristol)

Abstract

This article describes an updated version of the metabias command, which provides statistical tests for funnel plot asymmetry. In addition to the previously implemented tests, metabias implements two new tests that are recom- mended in the recently updated Cochrane Handbook for Systematic Reviews of Interventions (Higgins and Green 2008). The first new test, proposed by Harbord, Egger, and Sterne (2006, Statistics in Medicine 25: 3443–3457), is a modified ver- sion of the commonly used test proposed by Egger et al. (1997, British Medical Journal 315: 629–634). It regresses Z/√V against √V , where Z is the efficient score and V is Fisher’s information (the variance of Z under the null hypothesis). The second new test is Peters’ test, which is based on a weighted linear regression of the intervention effect estimate on the reciprocal of the sample size. Both of these tests maintain better control of the false-positive rate than the test proposed by Egger at al., while retaining similar power. Copyright 2009 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 9 (2009)
Issue (Month): 2 (June)
Pages: 197-210

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Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:197-210

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Related research

Keywords: metabias; meta-analysis; publication bias; small-study effects; funnel plots;

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Cited by:
  1. Tseday Jemaneh Mekasha & Finn Tarp, 2011. "Aid and Growth What Meta-Analysis Reveals," Working Paper Series UNU-WIDER Working Paper W, World Institute for Development Economic Research (UNU-WIDER).
  2. Nick Freemantle, 2008. "Biostatistical aspects for the use of evidence based medicine in health technology assessment," The European Journal of Health Economics, Springer, vol. 9(1), pages 31-43, November.
  3. Maamar Sebri, 2014. "A meta-analysis of residential water demand studies," Environment, Development and Sustainability, Springer, vol. 16(3), pages 499-520, June.
  4. Sevigny, Eric L. & Fuleihan, Brian K. & Ferdik, Frank V., 2013. "Do drug courts reduce the use of incarceration?: A meta-analysis," Journal of Criminal Justice, Elsevier, vol. 41(6), pages 416-425.
  5. Wolfgang Viechtbauer, . "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, American Statistical Association, vol. 36(i03).

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