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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%.
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).
The difference in the level of sIgG4 between study groups was not statistically significant at baseline.
No difference in serum creatinine, cystatin C, and eGFR between study groups was observed.
All analyses of the pooled cohort were stratified on the study groups and heterogeneity between study groups was sought.
The significance of differences between study groups was determined by analysis of variance (ANOVA) for continuous variables and Fisher's exact test for categorical variables.
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Differences between study groups were tested with one-way analysis of variance or Kruskal Wallis as appropriate.
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].
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.
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.
Comparisons between study groups were performed with the use of the Mann-Whitney U test.
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