1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2024
A Doubly Robust Framework for Addressing Outcome-Dependent Selection Bias in Multi-Cohort EHR Studies
Ritoban Kundu, Xu Shi, Michael Kleinsasser +3
Selection bias can hinder accurate estimation of association parameters in binary disease risk models using non-probability samples like electronic health records (EHRs). The issue…
stat.ME2020★ 1 cited
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…