In univariate analyses, the features are limited to the variable being forecasted, while in multivariate case, any variable that is thought to be related to the output is considered a feature (an input of the model).
Although the statistical tests describe the differences among groups and produce features that can potentially lead to the classification of the groups under consideration, it is often the case that multivariate approaches, taking into account combinations and interactions of features, rather than univariate approaches, lead to better results.
Objectives: The purpose was to demonstrate that an objective, multivariate case definition of fetal alcohol syndrome (FAS) and partial fetal alcohol syndrome (PFAS) can be derived by means of craniofacial anthropometry.
For the univariate case (CS) this procedure would render here the absolute differences, but notice that for the multivariate case it is not equivalent to calculate the absolute differences of all Procrustes coordinates.
The remark was also restricted to mappings strictly formed from consecutive lags, which is not the only possibility that needs to be considered in the multivariate case.
Possible extensions to the multivariate case are also discussed.
Possible extensions to the multivariate case are discussed.
Well-known univariate approaches are extended to the multivariate case, and new policies are proposed.
discuss extended maximum spacing methods to the multivariate case.
All cases that were submitted to the Cancer Registry solely by pathologists (C43: 28 cases, C50: 228 cases, C61: 362 cases) had to be excluded from the multivariate analysis because of missing clinical information.
