A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Japanese adults with a high genetic risk for type 2 diabetes who consumed 100% fruit juice at least once per week had ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

Individuals with hidradenitis suppurativa experienced disproportionately high rates of food insecurity, underscoring the need ...

Valve surgery offered survival benefits in Candida endocarditis but came with increased hospital stay and cost burdens.

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Researchers found that higher relative fat mass (RFM), a measure of visceral body fat, is significantly associated with ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...