Confirmatory Biomarker Identification with k-FWER Control Using Derandomized Knockoffs with Cox Regression
基于去随机化 Knockoffs 与 Cox 回归的 k-FWER 控制确认性生物标志物识别
Selecting important features in high-dimensional survival analysis is critical for identifying confirmatory biomarkers while maintaining rigorous error control. In this paper, we propose a derandomized knockoffs procedure for Cox regression that enhances stability in feature selection while maintaining rigorous control over the k-familywise error rate (k-FWER). By aggregating across multiple randomized knockoff realizations, our approach mitigates the instability commonly…