Reproducible feature selection in high-dimensional accelerated failure time models

Yan Dong, Daoji Li, Zemin Zheng and Jia Zhou

Statistics & Probability Letters, 2022, vol. 181, issue C

Abstract: We propose a new feature selection procedure with guaranteed FDR control for high-dimensional 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.

Keywords: Feature selection; Accelerated failure time models; False discovery rate; High dimensionality; Knockoffs (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.spl.2021.109275

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