Your English writing platform
Free sign upExact(60)
The results were adjusted with Bonferroni correction for multiple tests.
All the correlations are significant with P ≤ 0.001 (probabilities were adjusted by Bonferroni's correction for multiple tests; n = 126).
Significant interaction terms would signify significant heterogeneity; none were found to be significant, even without correction for multiple tests.
For both tests, significance was assessed after sequential Bonferroni correction for multiple tests [27].
Only the FCA locus remains statistically significant after correction for multiple tests.
Individually mammals and fish show marginally significant correlations, although neither of these significant results survive correction for multiple tests.
No significant correlations were found between CSF hypocretin-1 levels and hypocretin-1 autoAbs after correction for multiple tests.
Bonferroni correction for multiple tests was applied by multiplying p-values by 9 (number of clinical parameters tested).
There were no significant effects of experience or age*experience interaction even before correction for multiple tests (Table 5).
The prevalence of haemogregarines was not associated with tick load, morphology or coloration after sequential Bonferroni correction for multiple tests.
After correction for multiple tests, no significant correlations were found between BMI and hypocretin-1 autoAbs levels.
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