Objectives This study aimed to estimate the prevalence of depression and anxiety and associated risk factors among non-communicable diseases (NCD) clinic attendees in rural Rwanda. Design ...

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), ...

Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key factors such as ...

Japanese adults with a high genetic risk for type 2 diabetes who consumed 100% fruit juice at least once per week had significantly lower odds of developing the disease. The inverse association was ...

Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We present a simple ...