Anytime-Valid Inference in Adaptive Experiments: Covariate Adjustment and Balanced Power
Fuente:
arXiv
Saved in:
| Main Authors: | Molitor, Daniel, Gold, Samantha |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Covariate Adjustment in Stratified Experiments
by: Cytrynbaum, Max
Published: (2023)
by: Cytrynbaum, Max
Published: (2023)
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
by: Jiang, Liang, et al.
Published: (2023)
by: Jiang, Liang, et al.
Published: (2023)
Inference for Two-stage Experiments under Covariate-Adaptive Randomization
by: Liu, Jizhou
Published: (2023)
by: Liu, Jizhou
Published: (2023)
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)
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)
Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters
by: Dalal, Abhinandan, et al.
Published: (2024)
by: Dalal, Abhinandan, et al.
Published: (2024)
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)
Inference for Batched Adaptive Experiments
by: Kemper, Jan, et al.
Published: (2025)
by: Kemper, Jan, et al.
Published: (2025)
The Power of Prognosis: Improving Covariate Balance Tests with Outcome Information
by: Bicalho, Clara, et al.
Published: (2022)
by: Bicalho, Clara, et al.
Published: (2022)
Real-time Program Evaluation using Anytime-valid Rank Tests
by: van Meer, Sam, et al.
Published: (2025)
by: van Meer, Sam, et al.
Published: (2025)
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)
Randomization Inference in Two-Sided Market Experiments
by: Liu, Jizhou, et al.
Published: (2025)
by: Liu, Jizhou, 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)
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)
Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
by: Mikhaeil, Jonas M., et al.
Published: (2025)
by: Mikhaeil, Jonas M., et al.
Published: (2025)
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)
Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)
by: Yang, Xuelin, et al.
Published: (2025)
Accuracy of Uniform Inference on Fine Grid Points
by: Imai, Shunsuke
Published: (2025)
by: Imai, Shunsuke
Published: (2025)
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)
Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
by: Picchetti, Pedro
Published: (2026)
by: Picchetti, Pedro
Published: (2026)
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)
Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)
by: Bibaut, Aurélien, et al.
Published: (2024)
Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)
by: Chen, Jiafeng, et al.
Published: (2023)
The Bias-Variance Tradeoff in Long-Term Experimentation
by: Ting, Daniel, et al.
Published: (2025)
by: Ting, Daniel, et al.
Published: (2025)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Powerful Bootstrap Test of Independence in High Dimensions
by: Olivares, Mauricio, et al.
Published: (2025)
by: Olivares, Mauricio, et al.
Published: (2025)
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)
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)
by: Fu, Jiawei, et al.
Published: (2025)
Balancing Weights for Causal Mediation Analysis
by: Kawato, Kentaro
Published: (2025)
by: Kawato, Kentaro
Published: (2025)
Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
Applied Causal Inference Powered by ML and AI
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Estimating Program Participation with Partial Validation
by: Denteh, Augustine, et al.
Published: (2025)
by: Denteh, Augustine, et al.
Published: (2025)
Quantifying the Internal Validity of Weighted Estimands
by: Poirier, Alexandre, et al.
Published: (2024)
by: Poirier, Alexandre, 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)
Is Inference Conditional on Not Rejecting a Pre-test Less Reliable than Unconditional Inference?
by: de Chaisemartin, Clément, et al.
Published: (2024)
by: de Chaisemartin, Clément, et al.
Published: (2024)
Randomization Inference with Sample Attrition
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
Similar Items
-
Covariate Adjustment in Stratified Experiments
by: Cytrynbaum, Max
Published: (2023) -
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
by: Jiang, Liang, et al.
Published: (2023) -
Inference for Two-stage Experiments under Covariate-Adaptive Randomization
by: Liu, Jizhou
Published: (2023) -
Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
by: Li, Zikai
Published: (2025) -
Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
by: Zhao, Sihui, et al.
Published: (2024)