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[Bonferroni in biomedical research].

G Assennato1, P Bruzzi

  • 1Facoltà di Medicina e Chirurgia, Dipartimento di Medicina Interna e Medicina Pubblica, Policlinico, Bari, Italy. gassennato@medlav.uniba.it

Giornale Italiano Di Nefrologia : Organo Ufficiale Della Societa Italiana Di Nefrologia
|August 27, 2002
PubMed
Summary
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This paper reviews statistical methods for multiple comparisons, including the Bonferroni correction and Holm correction. It highlights the lack of consensus among statisticians regarding their application in biomedical research.

Area of Science:

  • Biostatistics
  • Statistical Methods
  • Multiple Comparisons

Context:

  • The paper addresses the ongoing debate and lack of scientific consensus on statistical methods for multiple comparisons in biomedical research.
  • It summarizes proceedings from a 2001 meeting honoring Carlo Emilio Bonferroni, a key figure in statistical methodology.

Purpose:

  • To describe statistical methods for multiple comparisons.
  • To outline the advantages and disadvantages of the Bonferroni correction compared to newer methods like the Holm correction.
  • To illustrate the scientific disagreements among statisticians regarding these methods.

Summary:

  • The paper details the historical development of the Bonferroni correction from Boole (1850) to Olive Dunn (1959).
  • It includes a discussion of Bonferroni's probabilistic ideas, recognized by prominent statisticians like de Finetti.

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  • The review highlights the persistent lack of consensus in applying multiple comparison methods across different biomedical fields.

    • Impact:

    • Provides a historical and methodological overview of multiple comparison corrections.
    • Informs researchers about the ongoing statistical debates and the need for clear guidelines.
    • Contributes to understanding the evolution and application of statistical techniques in scientific research.