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'multiple comparison correction' is correct and can be used in written English.
You can use the phrase when referring to adjustments that are made to the p-values of hypothesis tests when many comparisons are made at the same time. For example, "The study employed multiple comparison correction to adjust for the risk of a false positive when testing multiple hypotheses."
Exact(60)
All results are corrected using 5% Bonferroni multiple comparison correction.
Multiple comparison correction strategies were applied to limit the accumulation of false positives of multiple tests.
There was no indication for the use of multiple comparison correction.
However, this effect was no longer significant when applying a multiple comparison correction (Table 3).
After cluster-level multiple comparison correction [25], clusters of adjusted t values above 2.05 (p < 0.05) were considered significant.
Whole brain analyses with multiple comparison correction revealed reduced activation within the left lingual/calcarine gyrus during orthographic processing in children with reading impairment compared to typical readers.
Bonferroni's correction is a very stringent multiple comparison correction.
Due to the exploratory nature of these correlation analyses, multiple comparison correction was not employed.
The less stringent Benjamini and Hochberg false discovery rate [42] was performed for multiple comparison correction.
Multiple comparison correction was applied within each analysis using the SPSS package (14.0 for Windows).
Typically, choosing the maximum average correlation across sessions requires a multiple comparison correction (e.g., Bonferroni).
More suggestions(13)
multiple testing correction
multiple comparison analysis
multiple comparison p
multiple hypothesis correction
multiple comparison test
multiple comparison method
multiple comparison posttest
multiple comparison post
multiple sample correction
multiple comparison problem
multiple comparison issue
multiple comparison testing
multiple comparison procedure
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