Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models (BMC Bioinformatics)

The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. Howe...