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Differences between groups at specific time points or for post-mortem tissue weight analyses were assessed with single factor ANOVA followed by pairwise comparisons using Tukey's HSD test.
b P < 0.017 indicates significant difference between groups at specific time point by linear mixed-model analysis.
Holm's method was also utilized when additional pair-wise comparisons were made between groups at specific time points after the overall or main group differences were evaluated.
Lastly, combining adherence data from questionnaires from all time points per group meant that comparisons between groups at specific time points were not made.
Post hoc comparisons between groups at specific time-points will be based upon a two-tailed Bonferroni corrected Post hoc comparisons between groups at specific time-points will be based upon a two-tailed Bonferroni corrected alpha of.0125 (.05/4).05/4
For comparisons between groups at specific time points, we used the Wilcoxon rank-sum test for non-normally distributed continuous variables, t-test for normally-distributed continuous variables, and Chi-square or Fisher exact tests for categorical variables.
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Differences between groups at one specific time point were analyzed with 1-way ANOVA followed by LSD post-hoc analysis.
The ability of the QLQ-GINET21 to assess differences between groups at a specific time point was examined using Karnofsky Performance Status scores at baseline classified into two groups (<80 and ⩾80).
The significance of between-group differences at specific time-points has been assessed by the fitting of ANOVA models (with post-hoc Tukey's tests as required) and of time-dependent effects by linear mixed-effects modelling (LME) (Splus v8.1; Spotfire, TIBCO, Somerville, MA).
‡Two sided, for difference in rate between two age groups at specific time points.
The primary endpoint will be compared between the two groups at specific time points using the Mann U Whitney or Independent T-test.
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