Your English writing platform
Discover LudwigExact(1)
Individual treatments were tested against the control by using Dunnett's multiple comparison test to control the Type I experimental wise error.
Similar(59)
Given that we were performing 6,220 tests, the Bonferroni correction for multiple testing [20] was applied by dividing the desired experimental-wise error Type I (α = 0.05) between the number of tests to be performed, for example 0.05/6,220≈7.5e 6.
All significant associations were retained at 8% experimental-wise significance level by permutation test.
Permutation test was implemented to control type I experimental-wise errors.
All significant associations were retained at 8% experimental-wise level by permutation test.
All significant comparison-wise associations retained significance at 8% experimental-wise level by permutation test.
An experimental-wise significant level of 0.05 was designated for candidate interval selection, putative QTL detection, and QTL effect.
++Significant effect by permutation test at an experimental-wise significance level of 5% +Significant effect by permutation test at an experimental-wise significance level of 8% Power of the analysis considering an experimental-wise significance level of either 5% (for Milk, Fat and Prot) or 8% (for UD and SCS).
Candidate interval selection, epistatic effects, and putative QTL detection were calculated with an experimental-wise Type I error of α = 0.05, α = 0.001, α = 0.001, respectively.
To preserve the experimental-wise type-I error rate for the co-primary and secondary hypotheses, the comparisons of the 2 etoricoxib doses with placebo were conducted in a step-down manner.
In order to correct for multiple comparisons, experimental-wise significance level for all QTLs was declared at P < 0·001 and estimated based on method of Benjamini and Hochberg (1995) and QTLs significant at FDR (false discovery rate) = 5%% are reported in the present study.
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