Sentence examples for more groups by from inspiring English sources

Data were compared between three or more groups by two-way analysis of variance (ANOVA) followed by posthoc Bonferroni correction.

However, splitting the meat categories into more groups by dividing the low consumers into low and very low consumers strengthened the dose response relationship with meat consumption.

The differences between the normally distributed data of two groups were analyzed by Student's t-test and among three or more groups by one-way ANOVA, respectively, with Bonferroni post hoc testing.

Statistical significance of the difference between the two groups was calculated by Student's 2-tailed t-test and between three or more groups by 1-factor analysis of variance (ANOVA) followed by post hoc analysis.

As discussed by Vickers and Altman [ 30], ANCOVA may be used to compare change in one or more groups by predicting follow-up scores from baseline scores and a treatment group indicator.

The significance between the two experimental groups was determined by Student's t test or, for comparison of three or more groups, by a one-way analysis of variance (ANOVA) with Tukey's or Dunnett's multiple comparisons tests used as post tests where indicated.

Momix is, after all, a small, mom-and-pop operation with a fluid roster of 20 to 35 dancers divided into two or more groups, run by an irrepressible board of two from their chicly dilapidated home.

The statistical differences among two or more groups were determined by ANOVA, followed by post-hoc Dunnet multiple comparison tests versus the respective control group.

Differences among three or more groups were evaluated by analysis of variance, followed by Bonferroni multiple comparison tests.

Differences in means among three or more groups were analyzed by analysis of variance (ANOVA) followed by Tukey-Kramer, Fisher's or Wilcoxon rank sum test.

The statistical differences among three or more groups were determined by analysis of variance (ANOVA), followed by post-hoc Tukey multiple comparison tests versus the respective control group.