Sentence examples for mixed effect analyses from inspiring English sources

Group-level mixed effect analyses were conducted for each ROI.

Linear mixed effect analyses (44– 48) were used to describe the relationships between the experimental responses (mRNA copy number, FA amount and β-oxidation activity) and three primary covariates (type of gene, FA, β-oxidation) in the main immune cell types (cellType) of healthy controls and AMN patients.

We used R (R Core Team, 2013) and the lme4 package (Bates, Mächler, Bolker, & Walker, 2015) to estimate linear mixed effects analyses with reduced maximum likelihood.

Multiple mixed effects analyses predicting QoL two and six years post-tsunami when controlling for gender, age and exposure (N = 58).

Given the similar design of first level analyses, this 2 step approach is equivalent to a mixed effects analyses incorporating within and between subjects variance.

A paired, voxel wise, mixed effects analyses were conducted to compare rCBF between the awake and unconscious states data (n = 17).

Because of its design, the BLP makes the same analyses possible as the DLP, offering researchers with a new interesting data set of word-processing times for mixed effects analyses and mathematical modeling.

Sensitivity analyses were performed limiting the mixed effects analyses to only those with low baseline PNA (<1 g/kg/d) or low plasma albumin (<4 g/dl) or high plasma hsCRP (>10 mg/L).

Univariable and multivariable of linear mixed effects analyses were performed for the two SF-12v2 component scores by including patient factors as level 1 covariates and doctor factors as level 2 covariates.

The mean changes in both the observational and interventional phases were estimated by applying mixed effects analyses using an unstructured covariance model to account for correlations in measurements across time.

To account for the possibility that the genome of an inbred line and/or an interaction between line and sex could affect the detection of sex-biased genes, we also ran mixed effects analyses of variance (ANOVAs) where sex was fitted as a fixed effect and line and the sex × line interaction were random effects.