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The mixed model used fixed treatment and assessment period effects.
The second linear mixed model used SV as the dependent variable.
However, the linear mixed model used is particularly flexible with respect to these issues.
Mixed model used for statistical analysis with post-hoc comparisons using Tukey's HSD.
The mixed model used the nonparent of origin kinship matrix K ± to control for family structure.
The first linear mixed model used HV as the dependent variable (see Table 3).
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Data were analysed as a mixed model using the PROC MIXED of SAS.
Plasma glucose levels over time were compared between groups with a linear mixed model using SAS software.
We propose to use a multi-level mixed model, using "study" as one of the levels.
A mixed model, using a random effect for participant, will be used to analyse the data.
The data collected were analysed in a mixed model using ASREML 3.0 (Gilmour et al., 2009).
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