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A statistical approach that controls for multiple testing.
P values were not corrected for multiple testing.
However, no comparison survived correction for multiple testing.
Therefore, no correction for multiple testing was done.
No adjustment for multiple testing was performed.
We did not correct for multiple testing.
No correction for multiple testing was included.
Permutation analysis was used to account for multiple testing.
No formal adjustment for multiple testing was made.
For multiple testing Bonferroni-corrected p-values were used.
These differences remained valid after corrections for multiple testing.
More suggestions(17)
for multiple trial
for multiple sampling
for multiple analysis
for many testing
for frequent testing
for widespread testing
for multiple scanning
for ample testing
for multiple inspections
for multiple exams
for multiple examinations
for further testing
for behavioral testing
for multiple choice
for immediate testing
for prenatal testing
for thorough testing
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CEO of Professional Science Editing for Scientists @ prosciediting.com