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stat.ME2023
Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator
Yuwen Cheng, Lili Wu, Shu Yang
Randomized experiments (REs) are the cornerstone for treatment effect evaluation. However, due to practical considerations, REs may encounter difficulty recruiting sufficient patie…
stat.ME2021★ 1 cited
Transfer learning of individualized treatment rules from experimental to real-world data
Lili Wu, Shu Yang
Individualized treatment effect lies at the heart of precision medicine. Interpretable individualized treatment rules (ITRs) are desirable for clinicians or policymakers due to the…
stat.ME2018
Multivariate Density Estimation with Missing Data
Zhen Li, Lili Wu, Weilian Zhou +1
Multivariate density estimation is a popular technique in statistics with wide applications including regression models allowing for heteroskedasticity in conditional variances. Th…