Contributed Papers

Robust and Semiparametric Methods in Causal Inference and Treatment Effect Estimation

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-211 Music City Center

Xinyi LiChair

Section on Nonparametric Statistics

6 Presentations

Collaborative Indirect Treatment Comparisons with Multiple Distributed Single-arm Trials

2:05 PM - 2:20 PM

Co-authors: Yuru Zhu (Perelman School of Medicine, University of Pennsylvania), Yuru Zhu (Perelman School of Medicine, University of Pennsylvania), Yumou Qiu (Peking University), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Causal inference Negative control outcomes Bias correction

Doubly Robust Estimation of Causal Effects for Random Object Outcomes with Continuous Treatment

2:20 PM - 2:35 PM

Co-authors: Satarupa Bhattacharjee (University of Florida), Bing Li (Penn State University), Satarupa Bhattacharjee (University of Florida), Lingzhou Xue (Pennsylvania State University), Xiao Wu (Columbia University)

Non-Euclidean Data Doubly robust estimation Causal inference Semiparametric efficiency Embedding in Hilbert space

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications

2:35 PM - 2:50 PM

Co-authors: Rui Wang (University of Washington), Rui Wang (University of Washington), Kwun Chuen Gary Chan (University of Washington), Ting Ye (University of Washington)

Causal Inferece Instrumental variables proximal causal inference Generalized method of moments weak identification

Quantifying Causal Effects via Temporal Regression Discontinuity Designs with Time-Varying Effects

2:50 PM - 3:05 PM

Co-authors: Kai Cooper (The Wharton School of the University of Pennsylvania), Liang Ma (Imperial College London), Kai Cooper (The Wharton School of the University of Pennsylvania), Daniel J. Graham (Imperial College London)

Temporal Regression Discontinuity Design Time-varying Effect Gaussian process regression Causal Analysis

Sensitivity of Quantile Treatment Effects to Small Shifts in Covariate Distributions

3:05 PM - 3:20 PM

Co-authors: Yuxuan Zhou (George Washington University), Yuxuan Zhou (George Washington University), Huixia Wang (George Washington University)

causal inference counterfactual analysis quantile treatment effects unconditional quantile influence functions

Universal Least Favorable Models and Their Higher-Order Approximations in One-Step Targeted Maximum Likelihood Estimation

3:20 PM - 3:35 PM

Co-authors: Kaiwen HOU, Mark Van Der Laan (UC Berkeley), Kaiwen HOU

Targeted Maximum Likelihood Estimation Semiparametric Efficiency Efficient Influence Function Causal Inference Perturbation Analysis Convex Optimization