These data were then analyzed using a global-mixed model that accounted for the fixed effect of dye and the random effects of array and array dye interaction.
These genes were identified for global differences (using a linear mixed model, 1,703 transcripts), and a pairwise analysis (1,655 transcripts).
By using global search with mixed modeling a solution with higher quality is obtained, but at a higher computational cost than local search.
Treatment-placebo differences in WOMAC scores and global knee pain were analysed using mixed model for repeated measurements and the adjusted general linear model.
The fixed effects parts of the mixed model analysis, using the global PH measure and the local Euclidean measure as criteria, are presented in Table 9.
The mixed model found that the global patient assessment (P < 0.0001) and treatment arm (P = 0.047) were significant determinates of the PhS while only the proportion of days in attack (P = 0.003) was a significant determinant of the PsS.
For the remaining six tests, which yield seven unique scores (the pattern comparison task produces two unique scores), we treated each cognitive test score as a repeat measure of global cognitive function in a random effects linear mixed model.
In the stratified analyses, a 4 (group) by 3 (NREM period) mixed model ANOVA was utilized to examine global SWA across the night among groups stratified by sex.
Further, the results of the mixed model suggested that, when considered together, only global cognitive function and sex were associated with risk aversion.
Residuals obtained from the global model were fit, one gene at a time, to the following mixed model: r ijklg = μ + T i + D j + R k + (A/R ) kl + e ijklg where the effects fit in the model were treated the same as in the global model.
Standardized measures of global cognitive function (z-scores) over 10 and 6 years were calculated among participants and mixed model regression was used to determine subject-specific cognitive slopes.
