Sentence examples for mixed model after from inspiring English sources
When the image data is processed with the Gaussian mixed model, after considering the remaining energy, delay, and computing ability, the distribution density function could maintain a reasonable trend because of the optimized balance weights.
However, the main advantage of the current method is that DYI is calculated as a linear function of parameter estimates within the framework of a mixed model after accounting for a significant genotype x stress-level interaction across environments and it therefore provides more precise statistical inference, which was not the case with the earlier ratio-based measures.
We constructed a linear mixed model after adjusting for individual variables to estimate the effects of PM and PAH on oxidative stress.
For the comparisons between the four methods, continuous variables were analyzed using a mixed model after square-root transformation of the variables that were not normally distributed.
As part of the procedure, model residuals for aortic root diameter measurements are generated via mixed model after controlling for relatedness and fixed effect covariates.
The distributions of cortex thickness, medulla thickness and C/M among groups were evaluated using a linear mixed model, after having transformed the data using square root function for the first two parameters and logarithmic function for the last one, in order to fit the Gaussian distribution of data.
Overall model ln likelihoods converged for all tested mixed models after a burn-in of 250,499 generations in an initial pre-run of 500,000 generations.
To characterize the pattern of anthropometric and metabolic changes occurring during the 24 months after diagnosis, we used linear mixed models after removing the effect of the following baseline variables: HR status, systemic adjuvant treatment, menopause status, tumor size, nodal status, HER-2, age, and BMI (Table 3).
The association of blood lead levels and C-NES II results were analyzed by longitudinal data analysis methods, repeated ANOVA and mixed model analyses after adjustment for potential confounders.
The changes in serum levels in the lipid profile over time were compared between the groups using linear mixed model analysis after adjusting for age, sex, and BMI.
With the exception of physical functioning, which had deteriorated for patients with diabetes between the 1-year and 5 years follow-ups, no difference in changes over time between the two groups could be shown in mixed model analysis, after adjustment for gender, age and baseline value of the domain.
