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Rerandomization and Regression Adjustment

26 June 2019

Papers citing "Rerandomization and Regression Adjustment"

20 / 20 papers shown

Title
Body Discovery of Embodied AI Zhe Sun Pengfei Tian Xiaozhu Hu Xiaoyu Zhao Huiying Li Zhenliang Zhang 54 0 0 25 Mar 2025
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 73 0 0 06 Sep 2024
Some theoretical foundations for the design and analysis of randomized experiments Lei Shi Xinran Li 51 2 0 14 Jun 2024
Causal Interpretation of Regressions With Ranks Lihua Lei CML 43 4 0 08 Jun 2024
Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance Yuhao Wang Xinran Li 65 2 0 05 Dec 2023
A decorrelation method for general regression adjustment in randomized experiments Fangzhou Su Wenlong Mou Peng Ding Martin J. Wainwright 64 1 0 16 Nov 2023
Inference of Sample Complier Average Causal Effects under Experiments with Completely Randomized Design and Computer Assisted Balance-Improving Designs Zhen Zhong Per Johansson Junni L. Zhang 16 0 0 04 Oct 2023
Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates Xin Lu Fan Yang Yuhao Wang 61 6 0 05 Sep 2023
Rerandomization and covariate adjustment in split-plot designs Wenqi Shi Anqi Zhao Hanzhong Liu 64 2 0 26 Sep 2022
Design-based theory for cluster rerandomization Xin Lu Tianle Liu Hanzhong Liu Peng Ding 64 14 0 06 Jul 2022
Efficiency and Robustness of Rosenbaum's Regression (Un)-Adjusted Rank-based Estimator in Randomized Experiments Aditya Ghosh Nabarun Deb B. Karmakar B. Sen 23 0 0 30 Nov 2021
Leveraging Causal Graphs for Blocking in Randomized Experiments A. Umrawal CML 51 0 0 03 Nov 2021
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments Ke Zhu Hanzhong Liu Yuehan Yang 17 4 0 23 Sep 2021
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates Yuhao Wang Xinran Li 80 15 0 06 Sep 2021
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates Anqi Zhao Peng Ding 30 28 0 31 Jul 2021
Model-assisted analyses of cluster-randomized experiments Fangzhou Su Peng Ding 44 48 0 09 Apr 2021
Rerandomization in stratified randomized experiments Xinhe Wang Tingyu Wang Hanzhong Liu 44 22 0 10 Nov 2020
Covariate-adjusted Fisher randomization tests for the average treatment effect Anqi Zhao Peng Ding 49 43 0 27 Oct 2020
The Generalized Oaxaca-Blinder Estimator Kevin Guo Guillaume W. Basse 41 39 0 24 Apr 2020
Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity Zach Branson Stephane Shao 32 3 0 14 Aug 2018