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P-values indicate differences between groups over time calculated using repeated measures two-way analysis of variance (ANOVA, interaction term).
Differences between groups over time were compared by one-way analysis of variance (ANOVA) with repeated measures for normally distributed variables and Friedman test for non-parametric variables.
Repeated-measure ANOVA was used to assess change between groups over time, with catheters as the between subjects factor and time of sample as the within subjects factor.
Analysis of variance (ANOVA) was used to assess differences between groups over time with a post hoc Mann–Whitney U test to assess the differences at each time point.
RM-ANOVA of log10 transformed data was used for comparison of viral genome load in blood and throat swabs between groups over time.
The interaction between time and sEpoR group status was tested to determine whether the relationship with erythropoietin requirements and hemoglobin levels differed between groups over time.
Statistical analysis between groups over time was carried out using two-way analysis of variance (ANOVA).
Finally, repeated measures ANOVA will be used to examine the differences between groups over time.
Differences between groups over time remained significant for mean daily step counts and vegetable consumption.
hSame result for comparison between groups over time and within group over time.
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A statistically significant difference between the groups was detected only by CFI (multivariate ANOVA for between-groups over time effect; P < 0.0001).
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