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We tested for statistically significant differences between different time points within dietary intervention groups by t test and for given time points between dietary groups by ANOVA.
This will facilitate comparisons of health impacts over time and across countries, for researchers as well as policy makers, even if the unit values of health hazards differ between different time points within countries or across countries.
Friedman test for repeated measures of non-parametric data was used for comparisons between different time points within a treatment groups.
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Using this parameter, the GAG production between different time points was compared within all culture groups.
ANOVA was performed to test differences between different time points and between treatments.
The background values for spot production in ELISPOT can differ between several donors and between different time points for one and the same donor within the observation period.
Within the first two hours no differences in bacterial growth between different time points were observed.
Friedman repeated measures analysis of variance followed by Wilcoxon tests with Bonferroni correction were used for within-group comparison of values between different time points.
Between different time points approximately 1000 1500 genes significantly increased or decreased in expression (within the criteria specified in the materials and methods section) for the five yeast strains in our study.
was used to evaluate significant changes in gene expression between different time points.
For comparison between different time points, statistical comparison was analyzed using the Wilcoxon matched pairs test.
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