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A linear mixed effects model (random subject, fixed interventions and time) will be used to assess the effects of the three interventions on CRP at the 1st and 2nd postoperative days, adjusting for baseline.
fMRI data from five participants were subjected to a within subject fixed effect analysis to verify differences between the experimental immersion (higher presence) and the control immersion (lower presence).
A mixed model (random factor: Subject, fixed factor: Time, missing data: restricted maximum likelihood), that allows the inclusion of all six cases in the analysis, indicated a significant reduction of symptoms across time; F (2,5) = 15.45, p < 0.01.
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A new tensor was formed and we estimated how the five spectrotemporal connectivity structures identified from the original data contributed in the shuffled data, by performing PARAFAC on the tensor from the shuffled data with the last two tensor dimensions (Time-Frequency and Connection-Subject) fixed with the values acquired from the original data.
We constructed linear mixed models where assessment month (0, 6, 12) was entered as a within-subjects repeated measure, the intercept was specified as a random effect, and predictors and covariates were entered as between-subjects fixed effects.
Subjects fixed their gaze on a target positioned behind the CCM device and the examiner used a side-view digital video camera to ensure the apex or the central area of the cornea was scanned.
We incubated S2R+ cells with dsRNAs for five days, subjected fixed cells to DNA FISH targeting the 359 bp repeat, and imaged cells in three dimensions using confocal microscopy.
Assessment month (0, 6, 12) was entered as a within-subjects repeated measure, the intercept was specified as a random effect, and predictors (i.e., SPPB or TUG, depending on the model) and covariates (i.e., sex, age, and their interactions with time (i.e., sex*time, age*time)) were entered as between-subjects fixed effects.
ANOVA F statistic calculated with Graphpad Prism 6.0 Partial η calculated from Lakens (2013) 2-way ANOVA between subjects: fixed effects, special, main effects, and interactions, alpha error = 0.05 Power calculations were performed from effects reported in the original study using G*Power software (version 3.1.7) (Faul et al., 2007).
ANOVA F statistic calculated with R software 3.1.1 (R Core Team, 2014) Partial η calculated from Lakens (2013) > -wrap-foot> 2-way ANOVA between subjects: fixed effects, special, main effects, and interactions, alpha error = 0.05 Power calculations were performed from effects reported in the original study using G*Power software (version 3.1.7) (Faul et al., 2007 ).
> > > Standard deviation was calculated using the formula, SD = SEM* SQRT 3)] 2-way ANOVA between subjects: fixed effects, special, main effects, and interactions, alpha error = 0.05 Power calculations were performed from effects reported in the original study using G*Power software (version 3.1.7) (Faul et al., 2007 ).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com