Covariate Adjustment in Stratified Experiments
Fuente:
arXiv
Saved in:
| Main Author: | Cytrynbaum, Max |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026)
by: Cytrynbaum, Max, et al.
Published: (2026)
Finely Stratified Rerandomization Designs
by: Cytrynbaum, Max
Published: (2024)
by: Cytrynbaum, Max
Published: (2024)
Anytime-Valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power
by: Molitor, Daniel, et al.
Published: (2025)
by: Molitor, Daniel, et al.
Published: (2025)
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
by: Jiang, Liang, et al.
Published: (2023)
by: Jiang, Liang, et al.
Published: (2023)
Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
by: Zhao, Sihui, et al.
Published: (2024)
by: Zhao, Sihui, et al.
Published: (2024)
Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
by: Li, Zikai
Published: (2025)
by: Li, Zikai
Published: (2025)
Inference for Two-stage Experiments under Covariate-Adaptive Randomization
by: Liu, Jizhou
Published: (2023)
by: Liu, Jizhou
Published: (2023)
Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)
by: Soale, Abdul-Nasah, et al.
Published: (2023)
Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)
by: Bugni, Federico, et al.
Published: (2022)
A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances
by: Bai, Yuehao, et al.
Published: (2024)
by: Bai, Yuehao, et al.
Published: (2024)
Automatic Order, Bandwidth Selection and Flaws of Eigen Adjustment in HAC Estimation
by: Li, Zhuoxun, et al.
Published: (2025)
by: Li, Zhuoxun, et al.
Published: (2025)
Regression Discontinuity Design with Potentially Many Covariates
by: Arai, Yoichi, et al.
Published: (2021)
by: Arai, Yoichi, et al.
Published: (2021)
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)
by: Ferman, Bruno, et al.
Published: (2026)
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)
Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
by: Deng, Yuhao, et al.
Published: (2026)
by: Deng, Yuhao, et al.
Published: (2026)
Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures
by: Leng, Chenlei, et al.
Published: (2024)
by: Leng, Chenlei, et al.
Published: (2024)
The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
by: Dalal, Abhinandan, et al.
Published: (2026)
by: Dalal, Abhinandan, et al.
Published: (2026)
Synthetic Controls for Experimental Design
by: Abadie, Alberto, et al.
Published: (2021)
by: Abadie, Alberto, et al.
Published: (2021)
Randomization Tests in Switchback Experiments
by: Liu, Jizhou, et al.
Published: (2026)
by: Liu, Jizhou, et al.
Published: (2026)
Design-Based Uncertainty for Quasi-Experiments
by: Rambachan, Ashesh, et al.
Published: (2020)
by: Rambachan, Ashesh, et al.
Published: (2020)
Experimental Design under Network Interference
by: Viviano, Davide
Published: (2020)
by: Viviano, Davide
Published: (2020)
Switchback Experiments under Geometric Mixing
by: Hu, Yuchen, et al.
Published: (2022)
by: Hu, Yuchen, et al.
Published: (2022)
Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)
by: Hu, Yuchen, et al.
Published: (2024)
The Bias-Variance Tradeoff in Long-Term Experimentation
by: Ting, Daniel, et al.
Published: (2025)
by: Ting, Daniel, et al.
Published: (2025)
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)
by: Athey, Susan, et al.
Published: (2020)
Randomization Inference in Two-Sided Market Experiments
by: Liu, Jizhou, et al.
Published: (2025)
by: Liu, Jizhou, et al.
Published: (2025)
Exposure effects are not automatically useful for policymaking
by: Auerbach, Eric, et al.
Published: (2024)
by: Auerbach, Eric, et al.
Published: (2024)
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)
by: Oka, Tatsushi, et al.
Published: (2024)
Conformal Inference for Experimental Attrition in Social Science Research
by: Song, Xiangyu
Published: (2026)
by: Song, Xiangyu
Published: (2026)
Experimental Design For Causal Inference Through An Optimization Lens
by: Zhao, Jinglong
Published: (2024)
by: Zhao, Jinglong
Published: (2024)
Prior-Free Sample Size Design for Test-and-Roll Experiments
by: Kawato, Kentaro, et al.
Published: (2026)
by: Kawato, Kentaro, et al.
Published: (2026)
Experimental Designs for Multi-Item Multi-Period Inventory Control
by: Chen, Xinqi, et al.
Published: (2025)
by: Chen, Xinqi, et al.
Published: (2025)
Design-Based and Network Sampling-Based Uncertainties in Network Experiments
by: Sakamoto, Kensuke, et al.
Published: (2025)
by: Sakamoto, Kensuke, et al.
Published: (2025)
Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective
by: Zhao, Jinglong, et al.
Published: (2022)
by: Zhao, Jinglong, et al.
Published: (2022)
Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
by: Picchetti, Pedro
Published: (2026)
by: Picchetti, Pedro
Published: (2026)
Inference in Cluster Randomized Trials with Matched Pairs
by: Bai, Yuehao, et al.
Published: (2022)
by: Bai, Yuehao, et al.
Published: (2022)
Validating Causal Message Passing Against Network-Aware Methods on Real Experiments
by: Tan, Albert, et al.
Published: (2026)
by: Tan, Albert, et al.
Published: (2026)
Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data
by: Obradović, Filip
Published: (2024)
by: Obradović, Filip
Published: (2024)
Similar Items
-
Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026) -
Finely Stratified Rerandomization Designs
by: Cytrynbaum, Max
Published: (2024) -
Anytime-Valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power
by: Molitor, Daniel, et al.
Published: (2025) -
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023) -
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
by: Jiang, Liang, et al.
Published: (2023)