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4 papers · 1 filter
Robust Subgroup Analysis for Heterogeneous Censored Data
Zhaohui Xu, Daoji Li, Zemin Zheng
Subgroup analysis is important in practice because real-world data typically come from heterogeneous populations, where meaningful patterns can differ substantially across subpopul…
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
Jie Wu, Bo Zhang, Daoji Li +1
Heterogeneous data are now ubiquitous in many applications in which correctly identifying the subgroups from a heterogeneous population is critical. Although there is an increasing…
CoxKnockoff: Controlled Feature Selection for the Cox Model Using Knockoffs
Daoji Li, Jinzhao Yu, Hui Zhao
Although there is a huge literature on feature selection for the Cox model, none of the existing approaches can control the false discovery rate (FDR) unless the sample size tends…
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
Ruipeng Dong, Daoji Li, Zemin Zheng
Multi-task learning is increasingly used to investigate the association structure between multiple responses and a single set of predictor variables in many applications. In the er…