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A mixed models analysis was employed using SAS Systems.
Mixed models analysis was applied to datasets from two 12-week placebo-controlled trials of sertraline.
Therefore, mixed effect models analysis was performed to provide outcomes adjusted for sensor order effect.
Linear mixed models analysis was performed in all patients, excluding consecutive BALs in the same patients who underwent more than one BAL.
For all two-locus models, analysis was run as described followed by a progression of removing one, the other, and finally both functional SNPs.
Mixed models analysis was used to assess the differences between the two profile types (smoothed, SM vs true, TP) for all outcomes.
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The results of the models analysis were used to identify ways to improve the models.
Univariate and multivariate Cox proportional hazards models analysis were performed to determine predictors of OS and BRFS.
A logistic regression model analysis was performed to determine predictors of treatment.
All D-PLSR model analysis was conducted in MATLAB (Mathworks, Natick, MA) using the partial least squares algorithm by Cleiton Nunes (available on the Mathworks File Exchange).
Linear mixed model analysis was applied.
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