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"Bonferroni correction" is a correct and usable term in written English.
It is a statistical procedure for controlling the likelihood of making Type I errors when making multiple comparisons. For example, "When conducting statistical analysis, the researcher decided to use a Bonferroni correction in order to reduce the chance of a Type I error."
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Multiple testing was corrected using Bonferroni correction.
Results were corrected by 5% Bonferroni correction.
Results were corrected using the Bonferroni correction.
Bonferroni correction factor = 41,047.
All tests were controlled with Bonferroni correction.
Bonferroni correction for multiple comparisons was used.
Bonferroni correction was used where appropriate.
However, the significance was lost after Bonferroni correction.
Significance thresholds were imposed after Bonferroni correction.
(p<0.05, Chi-square Test and Bonferroni correction).
Bonf.: Bonferroni correction.
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