The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Abstract Regression models play a central role in clinical research by quantifying the relationship between outcomes and explanatory variables. Accurate interpretation of model outputs, such as beta ...

The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific disciplines.

ROC curve created with JASP (logistic regression, performance plot: ROC plot with cut off step 0.2. It seems that the software is not correcting the datapoints correctly in my JASP plot.

Learn how to interpret logistic regression coefficients and improve your data science interview skills with clear explanations.