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Thus, the higher the ES, the bigger the difference of a parameter with concomitant small standard deviations between the groups analysed, indicating a more powerful biomarker candidate.
By comparing the number of all CNVs, duplications and deletions separately and amount of DNA change, gain and loss no significant differences were found between the groups analysed.
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No differences in age or comorbidities between the two groups analysed or extracorporeal circulation time (p > 0.05).
In addition to an analysis of the difference in outcome between the two groups analyses of the difference in time to progression will be carried out.
Differences between the groups were analysed by one-way analysis of variance (ANOVA) with the aid of SPSS software (SPSS Inc., Chicago, IL, USA) standard version 17.
Differences between the groups were analysed by the non-parametric Mann-Whitney test or Fisher's exact test.
Differences of medians of continuous variables between the groups were analysed using non-parametric tests (Mann-Whitney).
Comparisons between the groups were analysed using one-way anova.
The categorical variables between the groups were analysed by using the Chi square test.
Differences between the groups were analysed by the Mantel–Haenszel test with stratification for centre.
The relationship between the groups was analysed by calculating Spearman's rank correlation coefficients (rs).
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