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Differences in distributions of different staining patterns regarding clinical and laboratory features were analysed using χ tests of independence (alternatively Fisher's exact test in case of small expected frequencies) with Cramer's V as measure of effect size.
The two-sided Pearson χ2 test was applied to assess the differences in distributions of genotypes between different races.
It is also possible that the latter population has a different case-mix (i.e. differences in distributions of the predictors in the population), because, e.g., more hospitals are included.
In line with our discussion above, the prior on θ i is conditioned on race, age, census region, and urban/rural status, thereby allowing for the possibility that there are differences in distributions of proficiency for blacks and whites of different age groups, census regions, and urban/rural status.
Differences in distributions of Fas or FasL staining intensity and the different tumour characteristics were evaluated by the χ test.
Differences in distributions of categorical data were evaluated by χ 2 or Fisher's exact test.
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These significant differences in distribution of glomerular lesions in the different classes are expected differences confirming class definitions.
There were no significant differences in distribution of cytoplasmic staining reactions between the different groups.
Mann-Whitney test was used to assess the difference in distributions of tumor markers between different patient populations.
Distinct differences in distribution of roots in the soil profile were observed.
These significant differences in distribution of the BMD explain previous findings of the mechanical properties of the glenoid.
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