Saved in:
| Main Authors: | Wu, Peng, Luo, Shanshan, Geng, Zhi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.00528 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pseudo-strata learning via maximizing misclassification reward
by: Luo, Shanshan, et al.
Published: (2025)
by: Luo, Shanshan, et al.
Published: (2025)
Safe Individualized Treatment Rules with Controllable Harm Rates
by: Wu, Peng, et al.
Published: (2025)
by: Wu, Peng, 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)
Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
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)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, 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)
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)
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
by: Tan, Xiaoqing, et al.
Published: (2022)
by: Tan, Xiaoqing, et al.
Published: (2022)
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
by: Harada, Kazuharu, et al.
Published: (2021)
by: Harada, Kazuharu, et al.
Published: (2021)
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
by: Yang, Qinwei, et al.
Published: (2025)
by: Yang, Qinwei, et al.
Published: (2025)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Two-stage Least Squares with Clustered Data under the Local Average Treatment Effect Framework
by: Zhao, Anqi, et al.
Published: (2026)
by: Zhao, Anqi, et al.
Published: (2026)
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)
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)
The Nudge Average Treatment Effect
by: Tchetgen, Eric J Tchetgen
Published: (2024)
by: Tchetgen, Eric J Tchetgen
Published: (2024)
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)
by: Oprescu, Miruna, et al.
Published: (2024)
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)
Efficiency-improved doubly robust estimation with non-confounding predictive covariates
by: Luo, Shanshan, et al.
Published: (2024)
by: Luo, Shanshan, et al.
Published: (2024)
Assessing the causes of continuous effects by posterior effects of causes
by: Luo, Shanshan, et al.
Published: (2024)
by: Luo, Shanshan, et al.
Published: (2024)
Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
by: Johari, Ramesh, et al.
Published: (2025)
by: Johari, Ramesh, 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)
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)
Nested Instrumental Variables Analysis: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability
by: Wang, Rui, et al.
Published: (2024)
by: Wang, Rui, et al.
Published: (2024)
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)
Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
by: Yang, Youqi, et al.
Published: (2026)
by: Yang, Youqi, et al.
Published: (2026)
Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect
by: Hanada, Keisuke, et al.
Published: (2025)
by: Hanada, Keisuke, et al.
Published: (2025)
Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
by: Yang, Qinwei, et al.
Published: (2026)
by: Yang, Qinwei, et al.
Published: (2026)
Quantifying Individual Risk for Binary Outcomes
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
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)
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)
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)
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)
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)
Doubly Robust Targeted Estimation of Conditional Average Treatment Effects for Time-to-event Outcomes with Competing Risks
by: Li, Runjia, et al.
Published: (2024)
by: Li, Runjia, et al.
Published: (2024)
Similar Items
-
Pseudo-strata learning via maximizing misclassification reward
by: Luo, Shanshan, et al.
Published: (2025) -
Safe Individualized Treatment Rules with Controllable Harm Rates
by: Wu, Peng, et al.
Published: (2025) -
Matching-Based Nonparametric Estimation of Group Average Treatment Effects
by: Wu, Peng, et al.
Published: (2025) -
Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025) -
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
by: Shi, Pengfei, et al.
Published: (2023)