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To control study-wise Type I error rate, comparisons of eating measure subscales scores between study groups were initially conducted using multivariate analysis of variance (MANOVA) and were reported using Hotelling's trace statistic.
Results No significant differences between study groups were observed with respect to muscle mass and systolic parameters, such as ejection fraction, fractional shortening, and peak systolic velocity.
Differences between study groups were tested with one-way analysis of variance or Kruskal Wallis as appropriate.
Comparisons between study groups were performed with the use of the Mann-Whitney U test.
Continuoues variables between study groups were compared using the T-test (two-sided).
Comparisons between study groups were made by using Student's t test for independency.
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Difference in parameters between study groups was tested thanks to Mann-Whitney-U tests and deemed significant for p-values smaller than 5%.
In addition, the 1000 Genomes Project cohort comprised individuals from different European regions and, therefore, effects due to ethnic differences between study groups are possible [17].
The greater effect on malaria incidence observed in the intervention group occurred mainly in the high endemicity stratum ("stratum 1"), while no difference between study groups was observed in the low endemicity stratum ("stratum 2"; Figure 2.2).
Data presented here and elsewhere [14] clearly demonstrate that whether statistically significant differences between study groups are present or absent can depend on which reference gene is used for normalization even when variability in reference gene expression is marginal.
The difference in the level of sIgG4 between study groups was not statistically significant at baseline.
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