1 citations · 2 across the 5 of their papers we have counts for
5 papers
Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
Yunshu Zhang, Shu Yang, Wendy Ye +2
Real-world data (RWD) gains growing interests to provide a representative sample of the population for selecting the optimal treatment options. However, existing complex black box…
Augmented match weighted estimators for average treatment effects
Tanchumin Xu, Yunshu Zhang, Shu Yang
Propensity score matching (PSM) and augmented inverse propensity weighting (AIPW) are widely used in observational studies to estimate causal effects. The two approaches present co…
Matching Estimators of Causal Effects in Clustered Observational Studies with Application to Quantifying the Impact of Marine Protected Areas on Biodiversity
Can Cui, Shu Yang, Brian J Reich +1
Marine conservation preserves fish biodiversity, protects marine and coastal ecosystems, and supports climate resilience and adaptation. Despite the importance of establishing mari…
Multiply robust matching estimators of average and quantile treatment effects
Shu Yang, Yunshu Zhang
Propensity score matching has been a long-standing tradition for handling confounding in causal inference, however requiring stringent model assumptions. In this article, we propos…
Sharp bounds on the relative treatment effect for ordinal outcomes
Jiannan Lu, Yunshu Zhang, Peng Ding
For ordinal outcomes, the average treatment effect is often ill-defined and hard to interpret. Echoing Agresti and Kateri (2017), we argue that the relative treatment effect can be…