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There were no significant differences in physiological baseline variables between the groups (Table 1).
Otherwise, there were no significant differences in baseline variables between the groups (P > 0.05).
There were no significant differences in baseline variables between the survivors and nonsurvivors.
To assess the effectiveness of randomization, Wilcoxon rank sum test was used to compare baseline variables between the two arms.
We used non repeated-measures Anon repeated-measureso compANOVAhe bandline variables betheen the three groups.
There were no statistically significant differences regarding the baseline variables between the responders and non-responders on the questionnaires.
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Table 1 presents differences in baseline variables between these groups.
We described the presence of recruitment bias by calculating the standardized differences in each baseline variable between the two groups [ 19].
Some differences from the discovery set in the distributions of the aforementioned baseline variables between cases and controls were observed in the validation set, even that the cases had a higher percentage of known breast cancer factors, such as family history of cancer and menstruation.
Comparisons of baseline variables between groups were performed using the chi-square test for categorical data and two-sample t-test or Mann-Whitney U-test for continuous variables.
There were no significant differences in any of the baseline variables between smokers and nonsmokers, and changes in weight, blood pressure, HbA1c, GFR, and hemoglobin during the trial did not differ between the two groups (data not shown).
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