… The methods described in this chapter are for analyses … In this chapter, we use examples
of two categorical variables. … with hypothesis testing, measures of association, and testing for …

… and significance of each variable by the Wald test [54], and … of variables that can be introduced
in more complex models [55]… the RF method is also good at handling both categorical and …

… into categorical variables; for example, patient biochemical tests were classified into categories,
namely, normal and abnormal test … the hypothesis that GDM prediction models based on …

… For categorical variables, Shallow Geological Units are … all statistically significant according
to the wald–test ∣z ∣ … and WoE methods to perform a suitable integration of categorical and …

… between ML and logistic regression methods in the present study, could … model used to impute
the missing data in the testing set. … Second, all categorical variables were transformed into …

… The logistic regression model … when there is only one categorical covariate in the model.
When the number of … In another instance, we do the same for the test amplification method ta. In …

… Significance tests, correlation analysis, and factor analysis were used to screen 100 potential
risk factors individually. Conventional logistic regression methods … categorical variables …

… the methodology of interval number based logistic regression … , O & D along with two categorical
variables component ‘type’ and ‘… using R, the data was sliced into test and training data, …

… that imbalance correction methods distort model calibration by … For use with ordinal or
categorical variables, one may either … following logistic regression analysis on the test set: logit P ( …