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Once the referred statistical procedures were applied and the conditions for the use of parametric statistics were ensured, t-test for independent measures was used to compare means of variables between groups (IL vs DC) at baseline values in all functional tests.
Kolmogorov-Smirnov tests of normality, measures of skewness and kurtosis, and a visual inspection of histograms supported the use of parametric statistics.
Most data sets appeared to be from a normal distribution allowing for the use of parametric statistics.
The results had a normal frequency distribution, allowing the use of parametric statistics.
This method allows the use of parametric statistics for the comparison of the new defined variables (protein abundance averages).
Furthermore, the current absence of a reliable continuous measure of flow from microcirculatory films precludes the use of parametric statistics.
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We used a combination of parametric statistics and receiver operating characteristic (ROC) analysis to reduce the size of this gene set and identify those genes whose expression was most closely linked to the prognostic clusters identified using the entire 254 gene set.
Where data did not conform to the assumptions of parametric statistics, we used nonparametric tests.
Emergence weight was log transformed, and the development time was transformed to ranks (mean was used to ties) to meet the assumptions of parametric statistics.
Non-parametric tests were conservatively used because of the small sample and concerns about violated assumptions of parametric statistics.
If our cost data violate the assumptions of parametric statistics, non-parametric methods of analysing group means will be used.
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