Nonlinear vs. Linear Regression: Differences and Applications

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...
Nature

SplitWise regression for capturing nonlinear effects in interpretable model selection

Capturing nonlinear relationships while maintaining interpretability remains a persistent challenge in regression modeling. We introduce SplitWise, a stepwise regression framework that adaptively ...
Nature

Linear and non-linear proteome-wide association studies provide novel insight into venous thromboembolism

Venous thromboembolism is a life-threatening vascular event with high prevalence and genetic determinants. PWAS has become a popular strategy to identify therapeutic targets of complex diseases.
ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health ...