… -squared test for categorical variables and the Student's t-test … The Hosmer-Lemeshow test
indicated a good logistic model … a chi-square test value of 3.06 with a significance level of p = …

… theory or hypothesis and then gather data and analyze it to test and confirm … analysis and
other quantitative methods are often employed to assess the relationship between variables …

… Other works describe methods for using MI with multilevel data… models (eg, logistic regression
models or linear regression … for incorporating binary and categorical variables as well as …

… Categorical variables were expressed as numbers or … selection method. Secondly, in the
construction of SAPS II … a XGboost model- as opposed to the classic logistic regression analysis …

… and proportions for categorical variables. Medians and … Multivariable binomial logistic
regression models were used … -rank method was used to determine significance. Univariable Cox …

… ML methods, namely Logistic Regression, Classification and … All attributes used in this study
were categorical features so … testing of parameters of the Logistic Regression model using …

… used as a method to assess … categorical variables) was employed to evaluate the differences
among participants grouped by SII tertiles. Multivariable logistic regression was used to test …

… test or the Wilcoxon signed-rank test for categorical variables and the Mann-Whitney U … by
Kaplan-Meier method and Log Rank Test. Univariate and Multivariate logistic regression were …

… and testing process, and use automated methods to improve … the coefficients of the
logistic regression equation, and it is … The categorical variables of this set of data are two-category …

… CT radiomics models based on logistic regression (LR) and random … test (Fisher’s exact
test as appropriate) for categorical variables, and Mann-Whitney test for continuous variables in …