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The effects of treatments on tumour volume were assessed using mixed models analysing the tumour volume at D4, 8, 11, 15, and 18.
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9 Simple comparison analyses and mixed models analyses were applied.
However, the non-parametric analyses gave largely the same results as the mixed models analyses.
This will be done by including a predictor-by-treatment group-by-time interaction term to the mixed models analyses.
To handle missing baseline measurements (and therefore increase power), the missing indicator method was used in linear mixed models analyses [ 29].
The effect of potential treatment moderators will be evaluated by including baseline variables of interest as a covariate and interaction term in separate mixed models analyses.
To study the possible impact of the intervention on prejudiced beliefs, mixed models analyses were performed (Table 6 and Table 7).
To study the possible impact of the intervention on symptom profile recognition, mixed models analyses were performed (Table 4 and Table 5).
This analysis will be performed by including a two-way Moderator X Treatment group interaction term in the mixed models analyses.
Metamorphic mass, larval period and growth rate were log-transformed to homogenize variances and analyzed with mixed model analyses of (co) variance using the MIXED procedure [ 47].
Separate mixed model analyses of variance were conducted for pleasure and arousal, with test order as the between-subject factor, and time and task as within-subject factors.
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