Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...

Relative weights analyses showed the neglect/interference/punishment domain contributed most significantly (28.78%) to ...

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Spontaneous regression is most commonly reported in neuroblastoma and leukemia. Case series link infection, transfusion, and ...

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...