3 papers
stat.ME2021
Sparse group variable selection for gene-environment interactions in the longitudinal study
Fei Zhou, Xi Lu, Jie Ren +3
Penalized variable selection for high dimensional longitudinal data has received much attention as accounting for the correlation among repeated measurements and providing addition…
stat.ME2021
Identifying Gene-environment interactions with robust marginal Bayesian variable selection
Xi Lu, Kun Fan, Jie Ren +1
In high-throughput genetics studies, an important aim is to identify gene-environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization m…
stat.AP2020
Gene-Environment Interaction: A Variable Selection Perspective
Fei Zhou, Jie Ren, Xi Lu +2
Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interac…