Reproducible feature selection in high-dimensional accelerated failure time models

Yan Dong, Daoji Li, Zemin Zheng, Jia Zhou

Abstract:

We propose a new feature selection procedure with guaranteed FDR control for highdimensional AFT models, which is among the first attempts of reproducible learning in survival analysis. The effectiveness of the proposed method is theoretically and
numerically demonstrated.