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Elevated F-glucose was the only categorical component with significant differences between twins and singletons, 34.9% (127 of 364) versus 24.7% (89 of 360) (P = 0.003), respectively.
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A hypothetical proposition requires two or more categorical components.
We further investigated the readings as separate SBP and DBP categorical components and as combined SBP and DBP categorical components to determine what range of BP would be associated with significant risk of CVD events.
Categorical Principal Component Analysis.
Then we introduce data and methodology and, subsequently, analyse the relation between these indicators in a categorical principal component analysis.
Categorical principal component analysis between the 2 types of microstructural data sets was performed, and permitted discrimination of each stage of ripening.
This means that an important categorical decision component is added to the process after the relevant areas of the clips are selected and perceived correctly.
Before combining them, in order to ensure that all these four aspects can form a single latent construct, a categorical principal component analysis (CATPCA) was conducted.
For that reason, we use Categorical Principal Component Analysis (CATPCA), which allows variables to be scaled at different levels and works with modelling non-linear relationships (Linting, Meulman, Groenen and Van der Kooij, 2007).
For the analysis, the CATPCA (extended or categorical principal component analysis) approach in the Statistical Package for the Social Sciences (SPSS) was selected for its suitability to handle different scale levels.
To detect correlations between clinical variables and homogenous sub-groups of patients, we used non-linear Categorical Principal Component Analysis (CatPCA) [21], followed by Hierarchical Cluster Analysis (HCA) [22].
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