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30 Fractional polynomials (FPs) were utilised to optimally model numerical variables, and we evaluated whether anatomic injury is better represented by the NISS than the ISS.
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Prior to regression modelling, all numerical variables, i.e. all except 'disproportional reporting' and 'time trend' (see Table 1), were subjected to mathematical transformation (see Fig. 1).
Initially, the Shapiro-Wilks test was used to determine the framework of numerical variables in a model with a Gaussian distribution.
Weight gain was modeled as numerical variable with normal and abnormal weight gain.
Codings for the independent variables in the final logistic regression models were: age (numerical variable), gender, residence, province (Angiang vs Cantho, HCM vs Cantho), and SES (SEShigh vs SESmiddle, SESlow vs SESmiddle).
The numerical variables included in the initial model were age, SI, and BMI.
Pearson correlation assessed the relationship between numerical variables and a linear regression model was elaborated with variables statistically significant in the Pearson correlation (RHR treated as dependent variable).
Modeling problems containing a mixture of Boolean and numerical variables is a long-standing interest of Artificial Intelligence.
All numerical variables were log-transformed in the model.
Answers were first transformed into numerical variables, before applying partial least square regression modelling (PLS-R).
Due to the significant difficulty of integrating complex flotation sub-processes in a model, numerical method in fundamental models has many limitations (considering a long list of variables).
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