The relationships of DTI measures with decision-making performance were analyzed with mixed-model ANOVA SASS 9.2 Mixed Procedure) and linear regression analysis (SAS 9.2 Regression Procedure).
The analysis of the first co-primary endpoint (i.e., the mean change in HbA1c levels from baseline to visit 5) will be analyzed using the SAS PROC MIXED procedure and will be based on a mixed linear model with randomized group, center, visit, and the randomized-group-by-visit interaction as fixed effects and baseline as covariate.
Bariatric procedures are commonly divided into restrictive (adjustable gastric banding [AGB], vertical-banded gastroplasty, and sleeve gastrectomy), malabsorptive (biliopancreatic diversion [BPD] and biliointestinal bypass [BIBP]), and mixed procedures (gastric bypass and Roux-en-Y gastric bypass [RYGB]) (1– 3).
Data were analysed using the GLIMMIX and MIXED procedures of SAS 9.2.
Statistical analyses were performed using the GLIMMIX and MIXED procedures in the SAS software (version 9.1, SAS Institute, Inc., Cary, NC).
Data were analyzed by mixed procedure, Kruskal Wallis and Chi-square tests.
Another reason for somewhat lower accuracy in some procedures and years was that the NOIS-SSI protocol was modified with regard to mixed procedures.
Loading time was analyzed using mixed model procedures, and stress responses were analyzed using generalized linear mixed model methodology.
Mixed procedures are a combination of both [3].
PROC MIXED procedures were utilized since the outcome variables were continuous.
One- and two-way analysis of variance (ANOVA) was performed using the ANOVA, GLM or MIXED procedures of SAS statistical software (release 9; SAS Institute, Cary, NC, USA).
