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The P3 activity of both T1 and T2 was analyzed using a mixed effect model.
Activity on F7 and F8 electrodes was analyzed using a mixed effect model.
We analyzed the data using a mixed effect model with average oxygen consumption across the three 4-min measuring periods (μg/min) as the response variable, rearing pool as a random factor, mass, temperature, time of measurement, and measuring environment, as fixed effects measured at the level of the group, and the rearing treatment as a fixed effect at the level of the pool.
Outcome measures were evaluated using a mixed effect model.
Using a mixed effect logistic model for longitudinal data we compared the point prevalence abstinence rate.
Following completion of data collection, analyses will proceed in two steps using a mixed effect "random regression" (RR) model.
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Hence, results from experiment 1 (within groups) were analysed using a mixed effects model with fixed effect Counsellor and random effects over the individuals.
Significant differences between the conditions were detected using a mixed effects repeated measures ANCOVA with walking speed as a covariate.
Femoral angle measurements were analysed using a mixed effects linear model for repeated measures to determine the levels of intra-observer agreement (repeatability) and inter-observer agreement (reproducibility).
The latter are analyzed using a mixed effects model based on the new diameter growth function, to take into account inter-mouse variability and treatment factors.
Peak axial pull force analysis was conducted using a mixed effects model at significance level of 0.05 (two-sided).
More suggestions(15)
using a dominant effect
using a mixed integer
using a mixed paradigm
using a mixed domain
using a nonlinear effect
using a mixed model
using a stroboscopic effect
using a mixed feedstock
using a mixed lymphocyte
using a mixed linear
using a mixed population
using a mixed procedure
using a special effect
using a mechanical effect
using a timbre effect
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