3 papers
stat.ME2026
Data-Adaptive Rerandomization for 2K Factorial Designs
Tingxuan Han, Ke Deng
Factorial designs allow simultaneous estimation of multiple main effects and interactions, but covariate imbalance can substantially reduce estimation precision. Existing rerandomi…
stat.ME2024
Imputation-based randomization tests for randomized experiments with interference
Tingxuan Han, Ke Zhu, Hanzhong Liu +1
The presence of interference renders classic Fisher randomization tests infeasible due to nuisance unknowns. To address this issue, we propose imputing the nuisance unknowns and co…
stat.ME2023
Bayesian Criterion for Re-randomization
Zhaoyang Liu, Tingxuan Han, Donald B. Rubin +1
Re-randomization has gained popularity as a tool for experiment-based causal inference due to its superior covariate balance and statistical efficiency compared to classic randomiz…