10 citations · 28 across the 5 of their papers we have counts for
Showing 2021Show all
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stat.ME2021★ 10 cited
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Larry Han, Jue Hou, Kelly Cho +2
Federated learning of causal estimands may greatly improve estimation efficiency by leveraging data from multiple study sites, but robustness to heterogeneity and model misspecific…
stat.ML2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
Sai Li, Tianxi Cai, Rui Duan
The limited representation of minorities and disadvantaged populations in large-scale clinical and genomics research has become a barrier to translating precision medicine research…
math.ST2021★ 1 cited
On the global identifiability of logistic regression models with misclassified outcomes
Rui Duan, Yang Ning, Jiasheng Shi +3
In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…