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The Mann-Whitney test was performed to check differences in antigen expression and secretion between different groups of cells.
Three genotype groups were first considered to check differences in considered variables between groups.
We used analyses of contingency tables (χ tests) or Fisher's exact probability test to check differences in the distribution of variables among two or more study groups.
Fisher's exact t-test using a multinomial distribution was used to check differences in motor performance between the study group and the distribution in the normal population.
The surgery effects on the number of seizures and AED use was analysed using factorial RM design ANOVA or the Wilcoxon signed-rank test, a non-parametric test used to check differences in pairs of data.
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However, again the robustness check (difference-in-difference-in-differences analysis) (Supporting information Table S3-2 and S3-3) suggesthathatheseseffectsts found in the main analysis may be spurious.
However, when we checked differences in means after excluding some countries, with much lower percentage of winners, the magnitudes and conclusions were similar.
Higher age, retirement status, being subjectively ill, being chronically ill, and having an illness-related physician visit during the previous twelve months all cause it to be higher than among the remainder of the sample (no significance tests are available for checking differences in gradients).
The difference between the research group and the student group profiles was checked: Difference in the Npar Wilcoxon Signed Ranks Test was significant, z = -3.059, p < .001 (1-tailed).
To check for differences in habitat perception by each host (e.g. different type occupancy in each site) we tested for significant differences in host densities at the vegetation classes available on each site.
An independent sample t-test was conducted for the students of the course "IVEP" in order to check for differences in the final VE mark, between the students that participated in the assignment and those who did not.
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