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The seroprevalence of TPO-abs (>25 U/ml) between various groups was analyzed as dichotomized variable (positive/negative) with a Chi-square test.
The statistical significance of the differences between various groups was determined by PostHoc test and ANOVA.
Statistical analysis was carried out using Sigma Stat software package; calculation of statistical significance between various groups was carried out employing Student's t test.
The intergroup variation between various groups was measured by one-way analysis of variance (ANOVA) with Bonferroni's post hoc test.
Statistical significance of difference between various groups was evaluated by one-way analysis of variance (ANOVA test) followed by the Tukey-Kramer multiple comparisons test.
Investigation of differences in OS and DFS between various groups was performed using the log-rank test and the Fishers Exact test.
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Statistical differences between various groups were detected using either Chi-squared or adjusted Chi-squared test, Chi-squared for trend test, and non-parametric (Kruskal-Wallis) test as appropriate.
In vivo tumour growth characteristics were calculated using Kaplan Meier statistics and the significance of the differences between the various groups was assessed using a log-rank analysis.
The differences in gold bead distribution between the various groups were greatest when the distance between nearest neighbors was 60 80 nm, and these differences diminished at greater inter-bead distances.
Potential ways to provide a sustainable cooperation within and between the various groups were discussed.
Differences in each variable between the various groups were analysed using the Kruskal-Wallis test.
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