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"Indistinguishable is what we're aiming for when you're talking about creating balance between two study groups," says Assistant Professor Jennifer Bellamy, who has used the methodology in her research of the impact of outpatient mental health treatment for children in foster care.
The Mann–Whitney-U test was used to compare the independent variables between two study groups (amplitude differences, absolute reduction of amplitude, success rate of calculating, N2 wave latencies, QST parameters); the Wilcoxon test was used to compare the dependent variables between study groups (two different localizations of CHEPs and QST parameters).
Statistical significance of differential gene expression between two study groups was determined using the non-parametric Kruskal-Wallis test with the ΔCt of each group.
For any comparison between two study groups, the study had 80 percent power to detect an approximately 3 fold increase of events, for an event occurring at a frequency of ten percent in the comparator group, by Fisher exact test (alpha 5%).
The incidence of respiratory complications was not significantly different between two study groups.
There was no difference in fruit consumption between two study groups.
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There were significant differences in pH (P = 0.004), PaO2 (P < 0.001), and PaCO2 (P = 0.001) between four study groups (Table 1).
Among the proinflammatory and anti-inflammatory cytokines measured, TNF- α and CRP differed between three studied groups.
No statistical differences were found between the two study groups or between the initial two groups chosen before patients were eliminated from the study.
Subsequent draws were made to maintain the 1 1 ratio between the two study groups and between the three different strata considered.
Anthropometric and metabolic parameters at baseline were comparable between the two study groups (Table 1).
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