Your English writing platform
Discover LudwigSuggestions(5)
Exact(9)
These OLPs were weakly associated with HLA-B*57 expression, but these associations did not survive multiple test comparisons (described below, Table S2).
Bonferroni correction was used for multiple test comparisons.
Adjustments for multiple test comparisons were based on univariate and multivariate permutation test.
Statistical significance and adjustments for multiple test comparisons were based on univariate and multivariate permutation test as previously described.
The Bonferroni correction was employed to adjust P-values for multiple test comparisons using the p.adjust package in R [ 86].
Bonferroni adjustment was applied to the P-values to account for multiple test comparisons; differences were significant at P < 0.05.
Similar(51)
Benjamini-Hochberg corrections for multiple testing comparisons were performed as indicated [32].
In case of multiple testing (comparison of more than two groups) significant values were corrected with Bonferroni procedure.
In case of multiple testing (comparison of more than two groups), significant values were corrected with Bonferroni Holm or Shaffer's procedure as appropriate.
Moreover N and HyN showed similar conclusions for multiple t-test comparisons.
The statistical significance of differences between two means was determined by one-way or two-way ANOVA with Bonferroni's multiple comparison test for comparison between treatments or Tukey's multiple comparison test.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com