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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).
Different appropriate models for investigation of each trait using multivariate analysis were applied.
Univariate and multivariate analysis were conducted to determine significant predictors of mortality.563 TBI patients were enrolled from 1 June - 30 November 2016
Univariate and multivariate analysis were conducted.
Univariate and multivariate analysis were performed to identify potential risk factors.
All the multivariate analysis were conducted with species abundance (intercepted species in transects).
Both univariate and multivariate analysis were performed to identify risk factors for ICU admission.
Only variables which reached a statistical significance (p<0.05) after multivariate analysis were reported.
The models of multivariate analysis were tested for their appropriateness before deciding to interpret the results.
Univariate and multivariate analysis were performed to identify candidate variables for the model.
Independent outcome predictors by multivariate analysis were age, first shockable rhythm, bystander-initiated resuscitation, and I/T-G ratio.
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