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Longitudinal analyses assessing differences over time will be conducted using repeated measures ANOVA for continuous data and Kruskal-Wallace or Friedman's adaptation of this test for non-parametric data.
To evaluate the effect of the intervention and changes over time, an analysis for longitudinal data will be conducted using repeated measures analysis of variance (ANOVA) or mixed regression models.
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The exam analyses were conducted using repeated measures ANCOVA with the three exam scores as a repeated measures outcome variable, semester as a categorical predictor variable, and undergraduate GPA as a continuous covariate.
The research was conducted using repeated measures t-tests and structure equation modelling (SEM).
Comparison of variables at different times between groups such as motor block were conducted using repeated measures two-way ANOVA test and Fisher's exact test was used to compare the percentage values.
The evaluation step is conducted using repeated movements and sustained positions where the symptoms in the lower back and lower limbs are classified into three subgroups: 1) derangement syndrome, 2) dysfunction syndrome, and 3) posture syndrome [ 19].
Analyses were conducted using repeated-measures ANOVA with treatment order added as a between-subject factor.
Analysis will be conducted using a repeated measures approach exploring the main and interaction effects of the time of measurement (i.e., pre, post painful stimulation) and group (i.e., NSSI, healthy controls) on all dependent variables (i.e., cortisol, RMSSD, MAP) controlling for potential covariates (i.e., BMI).
Analyses will be conducted using SAS, Stata and WinBUGS (for repeated measures analyses).
Repeated measures ANOVA's will be conducted using an intention-to-treat and per-protocol approach.
There are significant differences among the signal waveforms in the time domain of different fault types; thus, research on the recognition of the types of gear-damaged faults is conducted using the repeated characteristic waveforms of the same fault type based on the morphological characteristics of the gear fault signal.
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