Marketers use logistic regression to predict customer purchasing habits based on predictors like age, location, income, and education level. Logistic regression is highly versatile and applicable ...

C-reactive protein is a relatively moderate predictor of coronary heart disease. Recommendations regarding its use in predicting ... of unmatched stratified logistic regression fitted according ...

Data show low levels of interleukin-4 and interleukin-17 are associated with coronary artery disease ... (IFN)-alpha and IFN‐gamma. In logistic regression analysis, IL‐4 (OR = 0.534; 95% ...

A simple ECG scan could now predict your risk for heart disease ... included conditional logistic regression to evaluate the predictive utility of the model in disease classification.

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR ... chronic obstructive pulmonary ...