The objective of the current research is to establish a predictive model of DLC properties using a multivariate analysis method.
The influence of the principal risk factors on prognosis were studied and their effect adjusted using a multivariate analysis based on the Cox proportional hazards model.
In this study the selection of in vivo predictive in vitro dissolution experimental set-ups using a multivariate analysis approach, in line with the Quality by Design (QbD) principles, is explored.
The main experimental factors affecting the complexation and the extraction of metals (pH, PAN concentration, salt addition and extractant solvent and disperser solvent volume) were optimized using a multivariate analysis consisting of two steps: a Plackett-Burman design followed by a Circumscribed Central Composite Design (CCCD).
Data were classified according to the metabolic profile using a multivariate analysis in principal component analysis.
Possible associations between SUVmax values of vertebrae, pedicles, and facet joints were tested using a multivariate analysis of variance (ANOVA).
Using a multivariate analysis, each mechanical ventilation additional hour increased of 1.004 the risk of failure extubation [1.001; 1.0081] (p = 0.02).
Those thresholds showing differences at the level p < 0.1 in Table 2 are further evaluated for their association with the risk of ICU mortality by using a multivariate analysis (Table 3).
Piryatinska et al. [75] presented a channel selection method for neonate EEG sleep state classification using a multivariate analysis approach adopting filtering with a complete search strategy for subset channel selection.
Using a multivariate analysis in the form of logistic regression of child mortality (child loss) by single predictors in the framework, the study calculated the odds of child mortality with all the predictors in the framework at once (Trussell 1975).
Data were analyzed using a multivariate analysis of variance (MANOVA).
