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Meta-analysis: Different methods - different conclusions?

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  • Böckenhoff, Annette
  • Hartung, Joachim

Abstract

Different estimation methods for covariance parameters in meta-analyses can result in conflicting p-values concerning the test of treatment effect. We propose a valid method to overcome this problem at least partially by introducing a new estimator for the standard deviation of the common treatment difference.

Suggested Citation

  • Böckenhoff, Annette & Hartung, Joachim, 2000. "Meta-analysis: Different methods - different conclusions?," Technical Reports 2000,08, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200008
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    File URL: https://www.econstor.eu/bitstream/10419/77254/2/2000-08.pdf
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    References listed on IDEAS

    as
    1. Dean A. Follmann & Michael A. Proschan, 1999. "Valid Inference in Random Effects Meta-Analysis," Biometrics, The International Biometric Society, vol. 55(3), pages 732-737, September.
    2. Thomas Mathew & Kenneth Nordstrom, 1999. "On the Equivalence of Meta-Analysis Using Literature and Using Individual Patient Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1221-1223, December.
    3. Böckenhoff, Annette & Hartung, Joachim, 1998. "Some corrections of the significance level in meta-analysis," Technical Reports 1998,23, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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