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Results were adjusted for multiple comparisons using Bonferroni's method.
Resulting p-values were adjusted for multiple comparisons using the Bonferroni-Holm method.
The analysis was corrected for multiple comparisons using the Bonferroni method.
Significance values were adjusted for multiple comparisons using the Bonferroni correction.
All other analyses are presented unadjusted for multiple comparisons, using a nominal.05 level of significance.
The post hoc tests were also corrected for multiple comparisons using the Bonforroni method.
If appropriate, pairwise comparisons were conducted correcting for multiple comparisons using Bonferroni correction.
Results were shown at p<0.005 (corrected for multiple comparisons using the FDR).
We corrected the p-values for multiple comparisons using the False Discovery Rate (FDR) q-values.
P-values were adjusted for multiple comparisons using either Dunnett's or Bonferroni correction procedures.
P values were determined for multiple comparisons using the Bonferroni correction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com