Saved in:
| Main Authors: | Zhang, Yichi, Lu, Haidong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.00924 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recover Experimental Data with Selection Bias using Counterfactual Logic
by: He, Jingyang, et al.
Published: (2025)
by: He, Jingyang, et al.
Published: (2025)
The Nudge Average Treatment Effect
by: Tchetgen, Eric J Tchetgen
Published: (2024)
by: Tchetgen, Eric J Tchetgen
Published: (2024)
Towards R-learner with Continuous Treatments
by: Zhang, Yichi, et al.
Published: (2022)
by: Zhang, Yichi, et al.
Published: (2022)
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
by: Shi, Pengfei, et al.
Published: (2023)
by: Shi, Pengfei, et al.
Published: (2023)
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Non-overlap Average Treatment Effect Bounds
by: Susmann, Herbert P., et al.
Published: (2025)
by: Susmann, Herbert P., et al.
Published: (2025)
Global Average Treatment Effects for Individualized Randomization Experiments with Aggregate Data
by: Yu, Shuguang, et al.
Published: (2026)
by: Yu, Shuguang, et al.
Published: (2026)
Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments
by: Susmann, Herbert, et al.
Published: (2024)
by: Susmann, Herbert, et al.
Published: (2024)
Efficient Estimation of Average Treatment Effect on the Treated under Endogenous Treatment Assignment
by: Ghosh, Trinetri, et al.
Published: (2023)
by: Ghosh, Trinetri, et al.
Published: (2023)
Dynamic Local Average Treatment Effects
by: Sojitra, Ravi B., et al.
Published: (2024)
by: Sojitra, Ravi B., et al.
Published: (2024)
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies
by: Zhu, Jianan, et al.
Published: (2023)
by: Zhu, Jianan, et al.
Published: (2023)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Matching-Based Nonparametric Estimation of Group Average Treatment Effects
by: Wu, Peng, et al.
Published: (2025)
by: Wu, Peng, et al.
Published: (2025)
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)
by: Harada, Kazuharu, et al.
Published: (2021)
Randomization Inference For the Always-Reporter Average Treatment Effect
by: Chang, Haoge, et al.
Published: (2026)
by: Chang, Haoge, et al.
Published: (2026)
On the Identifying Power of Generalized Monotonicity for Average Treatment Effects
by: Bai, Yuehao, et al.
Published: (2024)
by: Bai, Yuehao, et al.
Published: (2024)
Model Averaging Under Flexible Loss Functions
by: Gu, Dieqi, et al.
Published: (2025)
by: Gu, Dieqi, et al.
Published: (2025)
Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments
by: Nagai, Tomoko, et al.
Published: (2024)
by: Nagai, Tomoko, et al.
Published: (2024)
On the Comparative Analysis of Average Treatment Effects Estimation via Data Combination
by: Wu, Peng, et al.
Published: (2023)
by: Wu, Peng, et al.
Published: (2023)
Differentially Private Estimation of Weighted Average Treatment Effects for Binary Outcomes
by: Guha, Sharmistha, et al.
Published: (2024)
by: Guha, Sharmistha, et al.
Published: (2024)
Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)
by: Neopane, Ojash, et al.
Published: (2025)
Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect
by: Słoczyński, Tymon, et al.
Published: (2022)
by: Słoczyński, Tymon, et al.
Published: (2022)
Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
Constructing g-computation estimators: two case studies in selection bias
by: Zivich, Paul N, et al.
Published: (2025)
by: Zivich, Paul N, et al.
Published: (2025)
From Stochasticity to Signal: A Bayesian Latent State Model for Reliable Measurement with LLMs
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Semiparametric Localized Principal Stratification Analysis with Continuous Strata
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)
by: Breunig, Christoph, et al.
Published: (2022)
Design-Based Estimation and Central Limit Theorems for Local Average Treatment Effects for RCTs
by: Schochet, Peter Z
Published: (2024)
by: Schochet, Peter Z
Published: (2024)
Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
by: Hong, Guanglei, et al.
Published: (2025)
by: Hong, Guanglei, et al.
Published: (2025)
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
by: Zhou, Jiehui, et al.
Published: (2024)
by: Zhou, Jiehui, et al.
Published: (2024)
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time-to-Event Outcomes Using Average Hazard with Survival Weight
by: Qian, Zihan, et al.
Published: (2024)
by: Qian, Zihan, et al.
Published: (2024)
Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)
by: Li, Jiaxun, et al.
Published: (2025)
Covariate Balancing and the Equivalence of Weighting and Doubly Robust Estimators of Average Treatment Effects
by: Słoczyński, Tymon, et al.
Published: (2023)
by: Słoczyński, Tymon, et al.
Published: (2023)
Trajectory-Based Individualized Treatment Rules
by: Yao, Lanqiu, et al.
Published: (2024)
by: Yao, Lanqiu, et al.
Published: (2024)
Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)
by: Friedberg, Rina, et al.
Published: (2025)
Estimating Treatment Effects Under Bounded Heterogeneity
by: Kwon, Soonwoo, et al.
Published: (2025)
by: Kwon, Soonwoo, et al.
Published: (2025)
Similar Items
-
Recover Experimental Data with Selection Bias using Counterfactual Logic
by: He, Jingyang, et al.
Published: (2025) -
The Nudge Average Treatment Effect
by: Tchetgen, Eric J Tchetgen
Published: (2024) -
Towards R-learner with Continuous Treatments
by: Zhang, Yichi, et al.
Published: (2022) -
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
by: Shi, Pengfei, et al.
Published: (2023) -
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)