85 citations · 158 across the 15 of their papers we have counts for
4 papers · 2 filters
Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework
Guanghao Zhang, Lauren J. Beesley, Bhramar Mukherjee +1
Electronic health records (EHRs) are increasingly recognized as a cost-effective resource for patient recruitment in clinical research. However, how to optimally select a cohort fr…
A meta-inference framework to integrate multiple external models into a current study
Tian Gu, Jeremy M. G. Taylor, Bhramar Mukherjee
It is becoming increasingly common for researchers to consider incorporating external information from large studies to improve the accuracy of statistical inference instead of rel…
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…
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…