Publications (4)
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
Jiacong Du, Jonathan Boss, Peisong Han +5
Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is…
Mediation with External Summary Statistic Information (MESSI)
Jonathan Boss, Wei Hao, Amber Cathey +5
Environmental health studies are increasingly measuring endogenous omics data () to study intermediary biological pathways by which an exogenous exposure ($\boldsym…
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Jonathan Boss, Jyotishka Datta, Xin Wang +3
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, are widely used for sparse estimation problems. However, there is limited work extending these priors to pred…
A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures
Jonathan Boss, Alexander Rix, Yin-Hsiu Chen +6
Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose…