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We used general linear models with mixed effects as a secondary analytic approach to adjust for the correlated errors within participants that may arise from the repeated UFOV measurement (which the primary multiple linear regression analyses do not address).
Three different analytic approaches multiple linear regression, general linear mixed effects and multiple logistic regression models all substantially supported our hypothesis for the post-training effects in all respects.
The analytic method that we will use to evaluate this hypothesis is the mixed effects analysis of covariance (ANCOVA), as proposed by Laird and Ware [ 64] and implemented in the SAS PROC MIXED procedure [ 65, 66].
Welfare programs, with all their subsequent mixed effects, were expanded.
Mixed effects with mobile and emerging markets.
linear mixed effects models.
Linear mixed effects.
Nonlinear mixed effects.
linear mixed effects model.
A new study finds mixed effects.
linear mixed effects repeated measures.
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