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However, there was considerable variation among genotypes within groups and an overlapping distribution between groups.
During modelling process, the class was divided into groups made of 4-5 people and a homogenous distribution between groups was ensured.
Therefore, despite large efforts, variations in tumor size distribution between groups were inevitable, although no statistically significant difference in tumor volume was seen between any of the treatment groups before treatment start.
Of note, there were no gross differences in vesicle size, morphology, or subcellular distribution between groups (e.g., Figure 5; panels B,C).
There was no difference in the sex distribution between groups (χ2 p = 0.37) and both groups had similar causes of death; which included pneumonia (2 PD, 2 controls), terminal prostate cancer (1 PD, 1 control), sepsis/renal failure (1 PD, 1 control) and cardiac events or cardiorespiratory arrest (remaining PD and controls).
There was difference in gender distribution between groups.
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Following tests for normal distribution, between-group differences were evaluated using an unpaired t-test and within-group differences using a paired t-test (two way).
However, due to the small number of samples analyzed, the observed difference in breakpoint distribution between group 1 and other groups was not statistically significant.
Several virulence genes showed a non-random distribution between Group I and Group II strains.
Accordingly, to compare distributions between groups, we used T-test, non-parametric Kruskal-Wallis test or chi-square test.
Study animals (20 males and 12 females 5 20 months old) were assigned to vaccination or control groups, using a block randomization design ensuring equal sex distributions between groups.
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