Sentence examples for between groups we applied from inspiring English sources

To determine whether the expression of genes was significantly different between groups we applied Welch's t test [80], which takes into account unequal variances.

To study the statistical difference between groups, we applied Kruskal-Wallis test.

To test if there were statistically different proportions of each reference/alternate allele combinations between groups we applied the same pairwise.fisher.test when comparing the WGA derived SNP calls to the genomic derived SNP calls (see Methods).

To compare characteristics between individual groups, we applied t tests, Wilcoxon tests, and Pearson χ tests.

For comparison of relative abundance between two experimental groups, we applied Topograph chromatogram alignment to correct chromatographic drift that may occur during the LC-MS/MS and allowing comparisons of low abundance analytes that may be detected in only one but not the other samples.

To provide quantitative data on these effects between the different treatment groups, we applied a multi-parameter scoring system (see Methods) to each section and the mean +/-SD data (N = 4) are provided on Figure 4B.

Due to the different follow-up assessments between control and intervention groups we applied the last observation carried forward (LOCF) method to impute the missing measurements of the control group at 12 month follow-up with their respective data at 9 month follow-up.

To analyze statistically the relationship between the WS and control groups, we applied a multiple regression model that related Y (TRF length) to X1 (age) and X2 (group), given that the WS group was 1 and the control group 0: Y = β0 + β1X1 age)+ β2 X2(group).

To further minimize the bias from within- and maximize the between-group variance, we applied the DAPCs to more precisely identify the genetically closest populations to the FVG groups.

Heart rate (HR), mean arterial pressure (MAP), central venous pressure (CVP) and cardiac index (CI) did not differ significantly between groups after we applied the Bonferroni correction for repeated time measurements using two-way analysis of variance.

To test for differences in stimulation intensities between patients as well as between groups of responses, we applied a univariate analysis of variance (α = 0.05) with stimulation intensity being the dependent variable.