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stat.ME2026
Unbiased Treatment Effect Estimation under Network Interference via Neighborhood-Excluded Cross-Fitting
Haoyang Yu, Anqi Zhao, Hanzhong Liu
Without interference, cross-fitting enables flexible covariate adjustment while preserving finite-sample unbiasedness under independent unit-level randomization. Under network inte…
stat.ME2026
Design-based theory for causal inference from adaptive experiments
Xinran Li, Anqi Zhao
Adaptive designs dynamically update treatment probabilities using information accumulated during the experiment. Existing theory for causal inference from adaptive experiments prim…
stat.ME2026
Two-stage Least Squares with Clustered Data under the Local Average Treatment Effect Framework
Anqi Zhao, Peng Ding, Fan Li
To estimate the causal effect of an endogenous treatment using clustered data, the canonical two-stage least squares (2sls) estimates a linear regression of the outcome on treatmen…