21 citations · 56 across the 11 of their papers we have counts for
7 papers · 1 filter
Double Robust Representation Learning for Counterfactual Prediction
Shuxi Zeng, Serge Assaad, Chenyang Tao +3
Causal inference, or counterfactual prediction, is central to decision making in healthcare, policy and social sciences. To de-bias causal estimators with high-dimensional data in…
Counterfactual Representation Learning with Balancing Weights
Serge Assaad, Shuxi Zeng, Chenyang Tao +5
A key to causal inference with observational data is achieving balance in predictive features associated with each treatment type. Recent literature has explored representation lea…
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng, Murat Ali Bayir, Joesph J. Pfeiffer +2
It is often critical for prediction models to be robust to distributional shifts between training and testing data. From a causal perspective, the challenge is to distinguish the s…
Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
Shuxi Zeng, Stacy Rosenbaum, Elizabeth Archie +2
Causal mediation analysis seeks to investigate how the treatment effect of an exposure on outcomes is mediated through intermediate variables. Although many applications involve lo…
Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy
Shuxi Zeng, Fan Li, Peng Ding
This paper evaluates the effects of being an only child in a family on psychological health, leveraging data on the One-Child Policy in China. We use an instrumental variable appro…
Enabling Counterfactual Survival Analysis with Balanced Representations
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng +3
Balanced representation learning methods have been applied successfully to counterfactual inference from observational data. However, approaches that account for survival outcomes…
Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
Shuxi Zeng, Fan Li, Rui Wang
Chance imbalance in baseline characteristics is common in randomized clinical trials. Regression adjustment such as the analysis of covariance (ANCOVA) is often used to account for…