Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Yilin, Hughes, James P., Ye, Ting |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Framework for Covariate-Adjusted Bivariate Causal Discovery
by: Purkayastha, Soumik, et al.
Published: (2025)
by: Purkayastha, Soumik, et al.
Published: (2025)
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)
by: Lindon, Michael, et al.
Published: (2022)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, 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)
Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)
by: Zhou, Jing, et al.
Published: (2026)
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
by: Ye, Ting, et al.
Published: (2021)
by: Ye, Ting, et al.
Published: (2021)
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Sun, Jiren, et al.
Published: (2024)
by: Sun, Jiren, et al.
Published: (2024)
Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials
by: Qiu, Hongxiang
Published: (2025)
by: Qiu, Hongxiang
Published: (2025)
Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
by: Chen, Xiaoqing, et al.
Published: (2024)
by: Chen, Xiaoqing, et al.
Published: (2024)
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)
Cross-Validation with Antithetic Gaussian Randomization
by: Liu, Sifan, et al.
Published: (2024)
by: Liu, Sifan, et al.
Published: (2024)
Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
by: Ghosh, Aditya, et al.
Published: (2021)
by: Ghosh, Aditya, et al.
Published: (2021)
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)
Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
by: Cha, Jinho, et al.
Published: (2025)
by: Cha, Jinho, et al.
Published: (2025)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight
by: Vazquez, Jesus E., et al.
Published: (2026)
by: Vazquez, Jesus E., et al.
Published: (2026)
Direct Bayesian Regression for Distribution-valued Covariates
by: Tang, Bohao, et al.
Published: (2023)
by: Tang, Bohao, et al.
Published: (2023)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
Testing Separability of High-Dimensional Covariance Matrices
by: Sung, Bongjung, et al.
Published: (2025)
by: Sung, Bongjung, et al.
Published: (2025)
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)
by: Li, Chenze, et al.
Published: (2025)
Scalable Estimation of Crossed Random Effects Models via Multi-way Grouping
by: Takeishi, Shota, et al.
Published: (2025)
by: Takeishi, Shota, et al.
Published: (2025)
Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
by: Cai, Yizhou, et al.
Published: (2024)
by: Cai, Yizhou, et al.
Published: (2024)
Return-to-Baseline Testing via Empirically Calibrated e-processes
by: Regis, Marta, et al.
Published: (2026)
by: Regis, Marta, et al.
Published: (2026)
Causal Small Area Estimation with Survey-only Covariates
by: Ito, Tsubasa, et al.
Published: (2026)
by: Ito, Tsubasa, et al.
Published: (2026)
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
by: Casa, Alessandro, et al.
Published: (2024)
by: Casa, Alessandro, et al.
Published: (2024)
Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025)
by: Ma, Pulong
Published: (2025)
Testing For Global Covariate Effects in Dynamic Interaction Event Networks
by: Kreiss, Alexander, et al.
Published: (2021)
by: Kreiss, Alexander, et al.
Published: (2021)
A Framework for Statistical Inference via Randomized Algorithms
by: Zhang, Zhixiang, et al.
Published: (2023)
by: Zhang, Zhixiang, et al.
Published: (2023)
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)
by: Caponera, Alessia
Published: (2025)
Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
by: Baumeister, Marléne, et al.
Published: (2025)
by: Baumeister, Marléne, et al.
Published: (2025)
Compositional Covariate Importance Testing via Partial Conjunction of Bivariate Hypotheses
by: Bhaduri, Ritwik, et al.
Published: (2024)
by: Bhaduri, Ritwik, et al.
Published: (2024)
CBARA: Covariate-Balanced-and-Adjusted Response-Adaptive Randomization
by: Fang, Hengjia, et al.
Published: (2026)
by: Fang, Hengjia, et al.
Published: (2026)
A Unified Framework for Nonlinear Mediation Analysis of Random Objects
by: Tan, Wenxi, et al.
Published: (2026)
by: Tan, Wenxi, et al.
Published: (2026)
A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)
by: Harshaw, Christopher, et al.
Published: (2022)
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
by: Chandrasekhar, Arun G., et al.
Published: (2023)
by: Chandrasekhar, Arun G., et al.
Published: (2023)
Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
by: Zhai, Percy S., et al.
Published: (2026)
by: Zhai, Percy S., et al.
Published: (2026)
High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors
by: Bauer, Jan O.
Published: (2022)
by: Bauer, Jan O.
Published: (2022)
High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)
by: Roach, Lyndsay, et al.
Published: (2025)
A New Regression Model for Analyzing Non-Stationary Extremes in Response and Covariate Variables with an Application in Meteorology
by: Bernoussi, Amina El, et al.
Published: (2025)
by: Bernoussi, Amina El, et al.
Published: (2025)
GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Similar Items
-
A Framework for Covariate-Adjusted Bivariate Causal Discovery
by: Purkayastha, Soumik, et al.
Published: (2025) -
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022) -
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024) -
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024) -
Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)