Your English writing platform
Discover LudwigExact(3)
The statistical significance was determined by one-way analysis of variance (ANOVA) followed by the Bonferroni post hoc test to determine significance of differences between multiple test groups.
One-way ANOVA followed by Bonferroni's Multiple Range tests were used to compare multiple test groups.
Many datasets contained multiple test groups, and hence 2,482 fold-change profiles were collected in total.
Similar(57)
The results show that proper reporting can effectively improve the visibility of the testing process and that this web-based approach is critical to enhance communication among multiple testing groups.
One-way ANOVA followed by post hoc Student Newman Keuls multiple comparison test: Groups with same superscripts are not significantly different from each other, whereas different superscripts indicate significant (P < 0.05) difference.
To examine IGE on body weight, 4725 shrimp from 105 tagged families were tested in multiple small test groups (MSTG).
Data from multiple small test groups (MSTG) was analyzed using both a classical animal model and an extended animal model that included DGE and IGE.
The p-value was not adjusted for multiple testing for groups because of the explorative character of the study.
With the improved Conversion Lift tool, advertisers can compare multiple test and control groups.
The decideTest function was used for multiple testing across all groups.
Thereby Bonferroni-Holm adjustments were set to account for multiple testing between the groups.
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