Comparisons between two groups with different time points were performed using two-way ANOVA with Bonferroni post tests.
Entering the variance components in statistical power equations showed that for most metrics, a total of 80 100 subjects will be required to detect a 20% difference between two groups with sufficient power, while this difference can typically be detected in repeated-measures (paired) designs using 25 subjects.
We compared demographic characteristics, clinical, biological and bacteriological profiles between two groups with Mann–Whitney and Fisher's tests.
The game's best eight teams are divided between two groups, with three quarter-final slots available in each group.
It promises to be a bitter dispute between two groups with an already long history of mutual mistrust.
Jump performance can be a factor that discriminates between two groups with different levels of training and experience in Brazilian jiu-jitsu [20].
The comparison between two groups with and without hyperglycemia showed that respiratory failure, the use of mechanical ventilation, the presence of pulmonary edema and the use of inotropes were significantly associated with the presence of hyperglycemia.
In addition, no difference on pain score over time was found between two groups, with a mean difference on an 11-point scale of 0.20 (95%% interim-adjusted CI: -0.36,0.73, P = 0.31).
The study required the enrollment of 30 patients in each group to have at least 80% power to detect mean difference of 0.5 between two groups with regard to main outcome (with two-sided test and type 1 error of 5%).
Sample size calculation was performed and showed that to detect a difference of 2.5 [17] in the peer assessment rating (PAR) index between two groups, with a standard deviation of 2.88 [18] at a significance level of 5% with a power of 80%, it was necessary to have a minimum of 23 subjects in each group.
