2 papers
stat.ME2024
Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data
Daewoo Pak, Jianrui Zhang, Di Wu +2
We develop a set of variable selection methods for the Cox model under interval censoring, in the ultra-high dimensional setting where the dimensionality can grow exponentially wit…
stat.ME2024
Kernel-based multi-marker tests of association based on the accelerated failure time model
Chenxi Li, Di Wu, Qing Lu
Kernel-based multi-marker tests for survival outcomes use primarily the Cox model to adjust for covariates. The proportional hazards assumption made by the Cox model could be unrea…