4 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Multimarker genetic association tests for panel count data
Kun Xia, Jianrui Zhang, Qing Lu +1
The existing multimarker survival tests focus on time to event outcomes. However, recurrent events are common in real world clinical and biomedical studies, especially in the resea…
stat.ME2026
Genetic association testing with multivariate survival phenotypes under interval censoring
Juhee Lee, Kun Xia, Jianrui Zhang +3
Set-based genetic association tests provide a powerful framework for detecting genetic effects on complex traits by jointly analyzing multiple genetic variants. Although set-based…
stat.ML2022★ 4 cited
A Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies
Xiaoxi Shen, Chang Jiang, Lyudmila Sakhanenko +1
Neural networks (NN) play a central role in modern Artificial intelligence (AI) technology and has been successfully used in areas such as natural language processing and image rec…