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The intervention effect will be evaluated using mixed model analyses.
The implementation of the intervention will be evaluated using mixed methods.
Other changes that will also be evaluated using mixed model ANOVAs include changes in quality of life, child self-efficacy, parent regulatory efficacy, and parent social influences.
Secondary outcomes will be evaluated using mixed models to accommodate the correlation of the repeated measurements taken on an individual over time.
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Finally, the timing performance of the DualLogic CMOS is evaluated using mixed mode TCAD and circuit simulations.
The constructed plasmid was evaluated using mixed samples with known GM contents in real-time quantitative PCR.
The associations between the SNP genotypes and the traits were evaluated using mixed linear models (mmscore function).
To account for correlations among repeated measures for each patient and for a few missing EAA values, change in EAA levels over time was evaluated using mixed models.
Associations between DCC-SCC and bacterial growth on udder quarter level were evaluated using mixed-effect univariable regression analyses, with cow and herd as random factors.
Long-term outcomes will be evaluated using linear mixed effects models for repeated measures in both intent-to-treat and as-treated analyses.
Categorical outcome measures will be evaluated using non-linear mixed models.
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