2 citations · 3 across the 5 of their papers we have counts for
7 papers
Hierarchical False Discovery Rate Control for High-dimensional Survival Analysis with Interactions
Weijuan Liang, Qingzhao Zhang, Shuangge Ma
With the development of data collection techniques, analysis with a survival response and high-dimensional covariates has become routine. Here we consider an interaction model, whi…
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
Yuanxing Chen, Qingzhao Zhang, Shuangge Ma +1
In diverse fields ranging from finance to omics, it is increasingly common that data is distributed and with multiple individual sources (referred to as ``clients'' in some studies…
Integrative Sparse Partial Least Squares
Weijuan Liang, Shuangge Ma, Qingzhao Zhang +1
Partial least squares, as a dimension reduction method, has become increasingly important for its ability to deal with problems with a large number of variables. Since noisy variab…
Robust Identification of Gene-Environment Interactions under High-Dimensional Accelerated Failure Time Models
Qingzhao Zhang, Hao Chai, Shuangge Ma
For complex diseases, beyond the main effects of genetic (G) and environmental (E) factors, gene-environment (G-E) interactions also play an important role. Many of the existing G-…
Structured gene-environment interaction analysis
Mengyun Wu, Qingzhao Zhang, Shuangge Ma
For the etiology, progression, and treatment of complex diseases, gene-environment (G-E) interactions have important implications beyond the main G and E effects. G-E interaction a…
Identifying Gene-Environment Interactions with A Least Relative Error Approach
Yangguang Zang, Yinjun Zhao, Qingzhao Zhang +3
For complex diseases, the interactions between genetic and environmental risk factors can have important implications beyond the main effects. Many of the existing interaction anal…