Research Interests
Causal inference
Design and analysis of randomized controlled trials
Observational studies
Large language models
Causal inference
Design and analysis of randomized controlled trials
Observational studies
Large language models
X Wang, T Wang, and H Liu (2023), Rerandomization in Stratified Randomized Experiments, Journal of the American Statistical Association, 118:542, 1295-1304, DOI: 10.1080/01621459.2021.1990767 (link)
X Wang, BB Hansen, Design-Based Hájek Estimation for Clustered and Stratified Experiments, Submitted (arxiv)
FM Polo, X Wang, M Yurochkin, G Xu, M Banerjee, Y Sun, Bridging Human and LLM Judgments: Understanding and Narrowing the Gap, Submitted (arxiv)
Design-based SE of Hájek Estimators for Causal Effects in Stratified and Clustered Experiments
International Biometric Conference (IBC), December 2024
Design-based analysis of the covariate-adjusted Hájek estimator in stratified and clustered designs
The American Causal Inference Conference (ACIC), May 2024
Design-based variance estimation for Hájek estimators of causal effects in finely stratified and clustered experiments
International Chinese Statistical Association (ICSA), June 2023
Design-based variance estimation for Hájek estimators of causal effects in finely stratified and clustered experiments
The American Causal Inference Conference (ACIC), May 2023