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Repeated measures (general linear model = GLM) from the oldest old showed a decline in objective health and ADL with increasing age, but subjective health remained positive and stable.
The data was analysed using a Repeated Measures General Linear Model (GLM).
Exploratory activity was assessed fortnightly from 5 to 13 weeks of age as described previously [41] and analyzed by repeated measures general linear model (GLM) ANOVA.
To determine whether growth trajectories of the different seasonal groups diverged through time, we examined daily growth by effect-coded season using repeated measures general linear model techniques (RM-GLM).
For each of the three studies a repeated measures General Linear Model was applied with emotion (fearful/neutral) and region of interest (left/central/right) as within-subject factors.
Indirect calorimetry data were tested with repeated measures general linear model using SAS 9.0 software.
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Blood endocannabinoid and saliva cortisol concentrations at the 6 time points of measurement between volunteers with and without motion sickness were compared using a Repeated Measure General Linear Model (RM-ANOVA) with time point of measurement as a within subject effect and the occurrence of motion sickness as a between subject effect.
Statistical evaluation was conducted using a repeated-measures general linear model (GLM) including sex, reaction time, and task difficulty.
Table 2 Partial eta-squared values from a repeated-measures general linear model (GLM) for the three methods for ERP analysis.
Averaged ratings (AA, AU, IA, and IU) were entered into a two-factorial repeated-measures General Linear Model (GLM) with the factor PERSPECTIVE (first-person embarrassment vs. vicarious embarrassment) and the factor CATEGORY (the four levels of different situations).
Subsequently, accuracy and response times were analyzed separately using a repeated-measures General Linear Model (GLM) analysis of variance with Attention (toys vs. non-toys) and Landmark (decision-point vs. non-decision point) as within-subject factors and Group (controls vs. AD) as between-subject factor.
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