SA was used as numerical and categorical variable classified in three different categories according to the difference between SA and chronological age: late, on time or early maturers. On time when the difference was within ± 1.0 year of chronological age; late maturers when SA is less ...
The exposition does not make use of any mathematical formulas, and the only arithmetic used is very simple multiplication, division, and addition. Simple numerical examples, constructed for expository purposes, are used as an aid in describing the concepts of catego...
Unlike quantitative variables which can assume numerical values, categorical variables can assume one of a set of categories. These categories must be: • Mutually exclusive: An observation should not fall into two or more categories at the same time. For example, age categories 0–21 years, ...
It demonstrates how the regression problem is converted into a continuous categorical classification problem and how predicted multi-class probabilities are translated into a numerical prediction. Training and Evaluation For the epoch prediction neural network training, we used a batch size of 64 EEG ...
The analysed data set consisted of 1,581 variables (683 numerical and 898 categorical). A complete data set was not available for all participants included in SLAS-2, which is discussed in more detail below. We used a minimum spanning tree (MST) network derived from a pairwise effect-size...
First, positions were recoded to numerical categorical variables, then dummy variables were used for each position (1 if present and 0 if not present). Gender was also recoded the same way (men = 0 and women = 1). Age groups were categorised into an ordinal variable i.e. 20–24 years...
The Chi-square test or Fisher’s exact test, as appropriate, were used for analysis of categorical variables. Bonferroni significance levels were calculated when comparing sex and age with biventricular 4D flow CMR parameters. For other results, only raw P-values were reported. Associations between...
Statistical analysis. Descriptive analyses are presented as frequencies and percentage for categorical vari- ables, and as mean and standard deviation (std) for numerical variables. Fisher exact test was applied to compare distributions of categorical variables. The differences between distributions of...
Our results showed that TM height tended to decease with increasing age. The same trend was observed with both numerical age (continuous variables) and age groups (categorical variables). This result was also validated with multivariable analysis. ...
In order to handle a notion of depth or centrality in a mixed-type dataset, we first consider a hybrid distance (valid for any combination of numerical and categorical variables) and build a Multidimensional Scaling (MDS) representation of the dataset. That is, a multivariate representation of ...