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In the first one of two models, effects were adjusted for additional covariates, whereas a second model they was additionally adjusted for baseline depressive symptoms measured in 2004.
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Model effects were independent of the effects of past sugar consumption.
Based on this unrestricted model selection the model effects were tested for plausibility.
The remaining model effects were included without shape-constraints in the model (Eq. 8).
Model effects were tested at a significance level of 0.05.
Model effects were considered statistically significant when Type I error rate was less than 5%%.
The two model effects were fitted using an nlmixed sas procedure.
We used two criteria to determine whether model effects were likely to have occurred by chance.
Model effects were considered significant if their test statistic was significant (P ≤ 0.05) in ≥ 95% of the models [ 51].
From this model, effects were tested and within-individual variation in gene expression over time was estimated.
Restricted maximum likelihood estimates of variance components and solutions to model effects were obtained using VCE6 software ftp://ftp.tzv.fal.de/pub/vce6/.de/pub/vce6/
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