Your English writing platform
Discover LudwigExact(60)
This built-in possibility requires adjustment of analyses for multiple testing, for which suitable approaches are at hand [1, 2].
Secondly, multiple testing for the method of stKDE-based stRRF may result in false positive results.
For the sake of brevity, only results showing a p-value under 0.05 before correction for multiple testing for one or more phenotypes are presented in Table 3.
The effect of the own chronic or serious illness on telomere length is significant even after correcting for multiple testing for the number of adversities using the Bonferroni method.
After adjusting P values for gender, age and ethnicitiy and correction for multiple testing for the subgroups of the study population and the four variants tested, genotype frequencies did not differ significantly between groups (Table 3).
In particular, the two latter SNPs appeared to exert a stronger predisposing effect under a recessive model, which withstood Bonferroni correction for multiple testing for rs324987 [p = 0.0044, OR = 0.674 (95% CI 0.512 0.888)].
When an interaction was detected at p = .05, multiple testing for the main effect was accounted for by setting the threshold for significance at p = .01 (i.e. the usual.05 divided by the number of different cognitive measures).
Network A is significantly enriched, after correction for multiple testing, for SNPs in the 0.1 percentile and the 1 percentile, and borderline significant for SNPs in the best 5 percentile of the WTCCC study, table 2, indicating that the interaction network as a whole is a risk factor in T1D and further supporting the genetic interactions observed in previous work.
Although we did not show all of the results of multiple testing for the G-1250A A1032G032G SNPs with the Bonferroni correction because this study was explorative, the P value for the main effect of KCNJ6 A1032G on the frequency of rescue analgesic administration was 0.012 after the Bonferroni correction.
The multiple testing for the 3 scenarios is not addressed.
All reported p-values were adjusted for multiple testing for an FDR of 0.05, when applicable.
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