2 papers
stat.ME2024
Long-term Causal Inference Under Persistent Confounding via Data Combination
Guido Imbens, Nathan Kallus, Xiaojie Mao +1
We study the identification and estimation of long-term treatment effects when both experimental and observational data are available. Since the long-term outcome is observed only…
stat.ME2024
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
Yuhao Wang, Rajen D. Shah
We consider estimation of average treatment effects given observational data with high-dimensional pretreatment variables. Existing methods for this problem typically assume some f…