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We will use a multivariate analysis of covariance (MANCOVA) approach to analyze all outcomes simultaneously.
To explore the effect of our treatments on rhizome carbohydrate status, we use a multivariate analysis of covariance (MANCOVA).
Because three experiments were performed in each individual, one can pool the data and treat the combined data-set as a repeated measure within subject design; one can then use a multivariate analysis of variance to analyse the data.
Due to the low number of patients available for migration and BMD analysis at 4 years (n = 19), we did not consider it appropriate to use a multivariate analysis.
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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.
Data were classified according to the metabolic profile using a multivariate analysis in principal component analysis.
We used a multivariate analysis to identify factors independently affecting physician awareness of how best to manage ARGN infections.
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).
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