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For the DAS28 measurements, a repeated measures mixed effect analysis was performed.
Serial longitudinal measurements were compared by two-way ANOVA repeated measures (mixed model) with Bonferroni's post hoc test.
Symptom reports were assessed with repeated measures mixed hierarchical modeling.
To evaluate treatment effects, we used repeated measures mixed models analysis of covariance with baseline data as our covariate.
After subsequent fast Fourier transform (FFT) analysis of results, mean lower and upper alpha power values were entered into separate repeated measures mixed model designs.
A longitudinal driving simulator study was conducted, using a two-way (3 × 3) repeated measures mixed design with a matched sample of 51 subjects.
Similar(17)
Repeated measures mixed-effects models (MEMs) were used to assess the between-treatment differences for all the PRO end points.
This study used a 2-group, repeated measures mixed-effect model to compare case subjects with control subjects, and to determine the reliability of the spinal coordination measures.
Repeated-measures mixed models (Proc Mix SAS) were used to assess the proportional differences in C-peptide AUC over time among treatment groups.
Scores on the "perceived food risk management quality" scale were subjected to a repeated-measures mixed linear model.
We used repeated-measures mixed model ANOVAs to evaluate mate-choice copying using PROC MIXED in SAS© 9.1.
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