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Ultimately, Dr. Marcus said, he believed that progress in artificial intelligence would require multiple tests, just as multiple tests are used to assess human performance.
Multiple tests are designed to test a whole collection of null hypotheses simultaneously.
Implications of multiple testing are addressed in the discussion.
Nominal P-values (i.e. without correction for multiple testing) are reported throughout.
No adjustments for multiple tests are reported.
Only cytokines that remained significant after multiple testing are presented.
Furthermore, concerns regarding multiple testing are not applicable, as no statistical test is performed.
Therefore, no correction for multiple testing was done.
For experiments where multiple tests were performed, p-values were adjusted using Bonferroni corrections.
No correction for multiple testing was included.
No adjustment for multiple testing was performed.
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