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Exact(8)
The power (80%%) at an α-level of 0.05 to detect a significant difference in peak VO2 (ml kg−1 min−1) of ~1.2 ml kg−1 min−1 between groups was used.
A factorial ANOVA (between groups) was used to analyze the data.
The mean difference in change between groups was used as main treatment effect along with 95% confidence intervals.
For significance analyses, analysis of variance (ANOVA) between groups was used and P < 0.05 was considered significant.
For significance analyses, analysis of variance (ANOVA) between groups was used and * P≤0.05 was considered significant, ** P≤0.01 as highly significant and *** P≤0.001 as extremely significant.
The Grounded Theory Method [ 16] using constant comparison to determine similarity and differences within and between groups was used to analyze the transcripts [ 17].
Similar(52)
For continuous variables, a permutation test based on difference in medians between groups is used.
Non-parametric tests for the differences between groups were used, as appropriate, based on the distribution of continuous variables.
Contrasts between groups were used to generate p-values, moderated t statistics, Empirical Bayes statistics, and M values [log2 (ratio)].
Contrasts between groups were used to generate p-values, moderated t statistics, Empirical Bayes statistics, and M value [log2 (ratio)].
A quasi-experimental between-groups design was used.
More suggestions(17)
between groups was done
between groups was seen
between readings was used
between frames was used
between contigs was used
between groups was analyzed
between platforms was used
between AUCs was used
between means was used
between alleles was used
between groups was set
between groups was conducted
between SNPs was used
between groups was compared
between groups were used
between sequences was used
between groups was made
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