Burden of IH (cumulative %time, number and mean duration of episodes with SpO 2 <80% (and, post hoc, SpO 2 <60%) lasting for ≥60 s) was compared between treatment groups using the Wilcoxon test.

Binomial Logistic Regression and XGBoost are machine learning tools using different algorithm ... In this study, Binomial Logistic Regression model was built to get a multivariate linear relationship ...

Objective: To develop and validate a multivariate ... use such a score, not deterministically, but as a tool to avoid common cognitive biases related to intuition. Third, our sample size was based on ...

Data professionals typically make this determination by using a scatter ... statistical analyses and multivariate statistical techniques like linear regression. The SPSS Statistics software ...

Approaches to supervised and unsupervised learning with multivariate data will be discussed. This course will cover exploratory data analysis, binary logistic regression ... and students will use the ...

Univariate analysis was conducted using SPSS 26. Lasso regression was performed using the “glmnet” package in R 4.2.2. The “rms” package was utilized to build binary logistic regression models and ...

A set of 8 linear and non-linear indices ... demonstrated in previous studies. By using the Orange® data mining suite we checked various multivariate discrimination models. The results show that a ...

All analyses were performed using SPSS software (v 20; IBM ... we developed a predictive equation through multivariate regression analysis, taking into account the parameters analyzed in this study.