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The discriminative ability of variables identified to predict neurological outcome by multivariate analysis was evaluated using receiver operating characteristic (ROC) curves with the corresponding AUC.
This protective effect was significant after confounding by multivariate analysis was controlled for.
More detailed analysis of parameters selected by multivariate analysis was performed using conventional statistical tests.
Univariate logistic regression analysis, followed by multivariate analysis was used to identify predictors of one-year mortality.
The only significant factor in this study that increased pregnant women's risk of PIH, as determined by multivariate analysis was age.
> -wrap-foot> confidencence interval, BMI body mass index To determine the relative predictive influence of the background factors and endoscopic and laboratory findings, univariate followed by multivariate analysis was done.
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The metabolites identified by multivariate analysis were selected according to their Q-values, which are P-values adjusted for the false discovery rate (FDR).
The response variables in the studies, analysed by multivariate analysis, were the zeta potential and the change in particle size.
Significant risk factors identified by multivariate analysis were recurrent infections (OR = 2.93), presence of artificial nutrition (OR = 3.99), and recent exposure to quinolones (OR = 4.39), third- or fourth-generation cephalosporin (OR = 3.49) and the combination of both antibiotic classes (OR = 5.50).
Independent outcome predictors by multivariate analysis were age, first shockable rhythm, bystander-initiated resuscitation, and I/T-G ratio.
Analysis of the delay to ICU admission by multivariate analysis is presented in Table 3.
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