1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2026★ 1 cited
Adaptive and Efficient Learning with Blockwise Missing and Semi-Supervised Data
Yiming Li, Ruoyu Wang, Ying Wei +1
Data fusion enables powerful and generalizable analyses across multiple sources. However, different data collection capacities across different sources lead to blockwise missingnes…
stat.ME2026
Estimating Effects of Longitudinal Modified Treatment Policies (LMTPs) on Rates of Change in Health Outcomes
Anja Shahu, Weijie Xia, Ying Wei +1
Longitudinal data often contains outcomes measured at multiple visits, and scientific interest may lie in quantifying the effect of an intervention on an outcome's rate of change.…
stat.ME2024
Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance
Zain Khan, Daniel Malinsky, Martin Picard +3
Graphical structure learning is an effective way to assess and visualize cross-biomarker dependencies in biomedical settings. Standard approaches to estimating graphs rely on condi…