Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.

The adaptive lasso with the MSW*SW weighting method incorporates both the information in the grouping structure and the individual variable. It outperformed the competitors by reducing the false discovery rate without severely increasing the false negative rate.