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Therefore, there were no multiple comparisons, so no adjustments to the significance level alpha were required.
We made multiple comparisons, so caution should be exercised when interpreting the data.
We examined several subjective outcomes, and did not adjust for multiple comparisons, so our findings should be interpreted cautiously.
The P-value for significance was adjusted to control for multiple comparisons so that the expected number of false positive clusters in each analysis was less than one.
This test was followed by a pairwise comparison between the data of the maize, teosinte, and hybrids using a Wilcoxon rank sum test with a Bonferonni adjustment for multiple comparisons so that specific significant differences could be elucidated.
The P-values are adjusted for the multiple comparisons, so that by chance we would expect to identify incorrectly any of the genes as differentially expressed (at adjusted P<0.05) less than once in 20.
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However, all of these failed to achieve statistical significance after adjustment for multiple comparisons and so are not reported in this report.
However, DE testing necessitates conservative correction for multiple comparisons and so likely only detects the greatest changes in expression.
The trial is designed with multiple statistical comparisons, so results will be interpreted with caution.
Some studies of environmental factors and disease risk consider many exposures (Everett et al. 2008), sometimes controlling for multiple comparisons in so-called environment-wide association studies (Patel et al. 2010, 2012), but they use separate regression models for each environmental exposure.
We acknowledge that multiple comparisons were performed so that some of the observed associations are chance findings.
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