Your English writing platform
Discover LudwigSuggestions(1)
Exact(38)
For regional (n = 148 nodes) properties such as local efficiency, clustering and degree, an additional correction for multiple comparison (false discovery rate) was used with corrected p < 0.01 considered as significance threshold.
&Bonferroni correction for multiple comparison, p <0.017 considered significant.
ANOVA followed by Bonferroni correction for multiple comparison was used to compare the clinical characteristics between cases and controls.
Airplane travel provocation only in those who fly (n = 98) #Bonferroni correction for multiple comparison, p < 0.007 considered significant.
Furthermore, a two-way ANOVA with Bonferroni correction for multiple comparison was performed to analyse the differences in study groups over time.
However, several single-nucleotide polymorphisms exceeded Bonferroni correction for multiple comparison or false discovery rate thresholds (.05,.1, or.2) for association with intermediate phenotypes shown to be predictive of TMD onset.
Similar(21)
Correction for multiple comparisons was applied.
No correction for multiple comparisons was performed.
Correction for multiple comparisons was performed.
Bonferroni correction for multiple comparisons was used.
However, the statistical significance disappeared after correction for multiple comparisons.
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