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The IFN-γ decrease in keratoconus compared to controls was significant by Mann-Whitney testing (p = 0.02, analysis not shown), but not by multivariate analysis, where the large variance of the measurements appeared to diminish its significance (Table 3).
This was confirmed by multivariate analysis, where GRV measurement was the only variable independently associated with the ratio of delivered/prescribed calories.
This was followed by multivariate analysis where hierarchical nonlinear modeling (HNLM) was utilized in order to account for the clustering of patients associated with a provider.
This was confirmed by multivariate analysis, where gastric residual volume measurement was the only variable independently associated with the ratio of delivered/prescribed calories (OR = 1.38; 95%CI, 1.12-2.10, p =.024).
This was confirmed by multivariate analysis, where GRV measurement was the only variable independently associated with the ratio of delivered/prescribed calories (odd ratio = 1.38; 95% confidence interval = 1.12 to 2.10, P = 0.024).
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However, this should be a minor issue since the benefits of the endocrine treatment persist at multivariate analysis, where adjustment by receptor status along with other major prognosticators was carried out.
Analysis will also include categorical analysis, factor analysis and bivariate and multivariate analysis where relevant.
Factors showing predictive value in univariate analysis were evaluated by multivariate analysis in cases where all of these factors were available.
Group differences on relative GM volumes of these 13 ROIs were assessed by multivariate analysis of covariance (MANCOVA), where age and centers were included as nuisance covariates as in the VBM analysis.
This method is then enhanced by multivariate analysis, a technique we call "Multivariate Auger Feature Imaging", where the distinction between varying sp2 carbon content on a surface is improved.
When the profiles were identified by multivariate analysis, distinct microbial communities were detected.
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