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Mixed Model and Last Observation Carried Forward (LOCF) analyses are commonly employed methods.
This was accounted for in the multivariate linear mixed model, and excluding these patients did not materially change the magnitude or direction of our univariate findings.
The error analysis of sub-models, the mixed model and urgency values of the cowpea prices forecasting in 4 markets are listed in Table 1.
The error analysis of sub-models, the mixed model and urgency value of the price forecasting of watermelon in 4 markets are list in Table 2.
Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction.
A response surface was estimated using a nonlinear mixed model, and the cumulative response in each mixture was evaluated for departure from additivity.
With dirty thighs as the response variable, several variables were tested in a logistic regression mixed model and with repeated measurements within herd and cow.
When applied to the analysis of single CpG dinucleotides without adjustment for covariates, a linear mixed model and a t-test yield identical results.
In this context we proposed a fast two-step method called Genome-wide Association using Mixed Model and Regression (GRAMMAR) for the analysis of pedigree-based quantitative traits.
The fits then pointed to an uncompetitive or noncompetitive model, at times a mixed model and in some instances, the fitted curve could hardly be called a fit!
Two-way ANOVA (drug and time) with repeated measures (mixed model) and Bonferroni posttests were used for statistical analysis for drug effect over all points.
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CEO of Professional Science Editing for Scientists @ prosciediting.com