21 citations · 56 across the 11 of their papers we have counts for
11 papers
Hölder Bounds for Sensitivity Analysis in Causal Reasoning
Serge Assaad, Shuxi Zeng, Henry Pfister +2
We examine interval estimation of the effect of a treatment T on an outcome Y given the existence of an unobserved confounder U. Using Hölder's inequality, we derive a set of bound…
A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior
Shuxi Zeng, Elizabeth C. Lange, Elizabeth A. Archie +3
In animal behavior studies, a common goal is to investigate the causal pathways between an exposure and outcome, and a mediator that lies in between. Causal mediation analysis prov…
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-observations
Shuxi Zeng, Fan Li, Liangyuan Hu
Survival outcomes are common in comparative effectiveness studies and require unique handling because they are usually incompletely observed due to right-censoring. A ``once for al…
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…
RNN-based counterfactual prediction, with an application to homestead policy and public schooling
Jason Poulos, Shuxi Zeng
This paper proposes a method for estimating the effect of a policy intervention on an outcome over time. We train recurrent neural networks (RNNs) on the history of control unit ou…