Sentence examples for important multivariate from inspiring English sources

Unfortunately, the most important multivariate analysis in this study could not be controlled for Wells score and D-dimer level, since there were too many missing values for both of these factors together.

The critical role of PAT in a successful QbD environment is documented, providing an overview of important multivariate mathematical techniques and modern analytical technologies for process monitoring that facilitate process understanding and ultimately process control.

The daily use of three units of alcohol is an important multivariate factor in our study.

It is one of the important multivariate techniques commonly used to discriminate study groups by projecting high-dimensional data onto a linear function.

Recent models have highlighted the important multivariate characteristics of the ErbB-signaling network in proliferation as the ErbB signal transduction network interacts with a variety of other signaling pathways.

The correlation between variables (e.g. genes and metabolites) is also important for multivariate statistical analyses such as principal component analysis (PCA) and hierarchical cluster analysis.

More important, the multivariate analysis revealed that the level of ideation and level of MPE recall was also related to APB.

In order to identify important covariates, multivariate logistic regression analyses (single step, forced entry) were conducted with target attainment 100% fT>MIC and target attainment 50% fT>MIC as dependent variable using the variables which gave a P value of <0.10 in the univariate analysis.

Although we found a significantly shorter DDFI in patients with wt disease, which has not been shown in prior studies that tested both BRAF and NRAS mutations (Jakob et al, 2012), it was not significant in multivariate analysis suggesting important differences in prognostic variables in the culprit primary melanoma.

Among those are important families of multivariate polynomial codes.

Discriminant analysis represents an important area of multivariate statistics and finds a wide application in medical imaging problems.