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6: Multiple Tests

  • Page ID
    1752
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    • 6.1: Multiple Comparisons
      When you perform a large number of statistical tests, some will have P values less than 0.05 purely by chance, even if all your null hypotheses are really true. The Bonferroni correction is one simple way to take this into account; adjusting the false discovery rate using the Benjamini-Hochberg procedure is a more powerful method.
    • 6.2: Meta-Analysis
      To use meta-analysis when you want to combine the results from different studies, making the equivalent of one big study, so see if an overall effect is significant.


    This page titled 6: Multiple Tests is shared under a not declared license and was authored, remixed, and/or curated by John H. McDonald via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

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