A Practical Method Adjusting for Publication Bias in Meta-analysis Based on p-value

DOI Web Site 被引用文献1件 参考文献18件
  • Matsuoka Nobushige
    Pfizer Global R & D, Tokyo Laboratories, Statistical and Clinical Programming, Pfizer Japan Inc.
  • Hasegawa Chihiro
    Department of Management Science, Faculty of Engineering, Tokyo University of Science
  • Hamada Chikuma
    Department of Management Science, Faculty of Engineering, Tokyo University of Science

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抄録

Meta-analysis of randomized controlled trials is a widely used study methodology and it is considered to provide the highest level of evidence. The results of such analysis, however, by the nature of this methodology, may be affected by a very serious bias referred to as publication bias. Although the trim-and-fill method has been proposed as a means of adjusting for publication bias, it does not necessarily provide a suitable correction under realistic circumstances. This article proposes a new method to correct for publication bias based on p-value and evaluates the performance of this method by means of simulations. It is shown that the performance of the proposed method is superior to that of the trim-and-fill method under realistic situations.

収録刊行物

  • 計量生物学

    計量生物学 28 (1), 19-36, 2007

    日本計量生物学会

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