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We combined generalized linear mixed models with site occupancy models to (1) assess tick aggregation levels at different spatial scales, (2) identify and disentangle factors which influence the density and probability of tick detection, and (3) compare robust estimations of tick densities among the landscape compartments.
Using data from the NICHD SECCYD (N = 1053), we used two-level hierarchical linear models with site fixed effects to examine whether teacher-child closeness and conflict moderated associations between two indicators of early socioeconomic status (maternal education and family income) and standardized measures of children's math and reading achievement at 54 months, 1st, 3rd, and 5th grades.
General transition matrices, such as the HKY [41], or general time reversible GTR models with site rate variability following an invariant sites (pinv) plus gamma distribution [42] [44], were used for model-based methods.
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Yield and protein response was best predicted with spatially adjusted regression models with site-characteristics or their interaction with management variables.
Since models with site-cluster effects were only used to estimate changes over time, we reduced the number of fitted parameters required by combining data for the seven site clusters that were only sampled in the T1 survey and treating these as if they came from just one cluster in all analyses.
We have recently started to assign site types and to retrofit existing models with site-type definitions.
However, as we will see below, models with site-dependent t fit the data better than models with a single t across all sites.
As part of the validation process, predictions of individual blood lead concentrations from models with site-specific input parameters are often compared with blood lead concentrations measured in field studies that also report lead concentrations in environmental media (soil, dust, water, paint) as surrogates for exposure.
The environment should therefore be modeled as a horizontally stratified model with site specific permeability and layer thickness for each segment [12, 15, 16].
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.
In this model, with site as a random effect, one consequence is that there is a common correlation among all observations within a site.
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Justyna Jupowicz-Kozak
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