Sentence examples for model with site from inspiring English sources

Thus, brain activation during working memory function was reliable across the NAPLS sites and both the IBMA and mixed effects model with site covariance methods appear to be valid approaches for aggregating data across sites.

Results from the image-based meta-analysis (IBMA) method and mixed effects model with site covariance method both showed robust activation in expected regions (i.e. dorsolateral prefrontal cortex, anterior cingulate cortex, supplementary motor cortex, superior parietal cortex, inferior temporal cortex, cerebellum, thalamus, basal ganglia).

The environment should therefore be modeled as a horizontally stratified model with site specific permeability and layer thickness for each segment [12, 15, 16].

In this model, with site as a random effect, one consequence is that there is a common correlation among all observations within a site.

Bootstrap values were then plotted on the phylogeny obtained with the TIM model with site specific rates.

A repeated-measures (RM) linear model, with site (thorax vs limb) and biopsy time as within-subject factors, was used to determine the effects of site and time on gene expression.

We approached this evaluation by addressing the question "does the current MPA network tend to protect high diversity sites?" To do this analytically, we fit a generalized linear mixed model with site-specific reef fish richness as the response (modelled as Poisson), a fixed effect term for the protection status of sites, and random effects for the ecoregions.

Furthermore, these constructs provide a microphysiological, in vitro, joint, organoid model with site-specific, tunable, and inducible protein delivery systems for examining the spatiotemporal response to pro-anabolic and/or inflammatory signaling across the osteochondral interface.

We compare our predictions with their data reported as the mean pairwise distance between viral DNA sequences determined using either a Kimura 2-parameter model or a general time-reversible model with site-to-site variation in substitution rates, both methods yielding similar results.

Although qualitatively general, the quantitative details of these predictions depend on fully parameterizing the model with site-specific growth, survival, and fecundity.

Bayesian trees were inferred using Mr. Bayes 3.1 [ 31] employing the WAG substitution model with site-to-site rate variation modeled on a gamma distribution with 8 variable rate categories and one category of invariable sites, three heated chains and one cold one, and 1,000,000 generations with sampling every 1,000 generations.