High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...

Variable selection in inferential modelling is problematic when the number of variables is large relative to the number of data points, especially when multicollinearity is present. A variety of ...

Rethinking the Path to Bladder Cancer Staging: Can Magnetic Resonance Imaging Speed Up Time to Receipt of Therapy in Patients With Muscle-Invasive Bladder Cancer? In the article that accompanies this ...