Targeted synthetic control (TSC) is a new two-stage estimator that applies a one-dimensional weight-tilting update to debias synthetic control weights and guarantees the final counterfactual is a convex combination of control outcomes.
Quasi-oracle estimation of heterogeneous treatment effects
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces partial identification bounds and a double-robust SurvB-learner meta-learner for estimating robust CATE in survival analysis under informative censoring.
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Targeted Synthetic Control Method
Targeted synthetic control (TSC) is a new two-stage estimator that applies a one-dimensional weight-tilting update to debias synthetic control weights and guarantees the final counterfactual is a convex combination of control outcomes.
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Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
Introduces partial identification bounds and a double-robust SurvB-learner meta-learner for estimating robust CATE in survival analysis under informative censoring.