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

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), ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

The Zuckerberg College of Health Sciences, Department of Public Health, invites you to attend a doctoral dissertation defense by Kaylea Flangan, MPH, RD on “Ultra-Processed Food Consumption, Cognitive ...

Elevated pan-immune-inflammation value (PIV) is significantly associated with an increased risk for hyperuricemia, higher serum uric acid (SUA) levels, and greater all-cause and cardiovascular ...

Tirzepatide was superior to semaglutide in achieving standard and intensive cardiometabolic targets among patients with type ...

A new study finds four factors that may make it more likely for some people to experience successful weight loss from using ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

Intelligence as measured by IQ tests is the single most effective predictor known of individual performance at school and on ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...