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A mixed models analysis was employed using SAS Systems.
To evaluate treatment effects, we used repeated measures mixed models analysis of covariance with baseline data as our covariate.
This chapter uses a set of examples to demonstrate the use of mixed models analysis to address the analysis of data.
Repeated-measure analyses encompass univariate models (with or without sphericity adjustment), multivariate models, mixed models, analysis of covariance, multilevel models, latent growth models, and hybrids of these models.
This result, differentiating EP from Italian stop voicing, is backed up by the linear mixed models analysis of voicing status at the central part of the stop closure, with significant differences between Italian and EP.
If the mixed models analysis showed a significant difference between groups, Fisher's LSD was used to analyse the difference between any two groups at each time point.
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linear mixed model analysis.
The data were analyzed using a mixed model analysis.
Associations were tested with linear mixed model analysis.
The effect of each maneuver on vein size was modeled using mixed model analysis.
Effects of temperature and heart rate were compared in a mixed model analysis.
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