Rerandomization to improve covariate balance in experiments

24 July 2012

Papers citing "Rerandomization to improve covariate balance in experiments"

46 / 46 papers shown

Title
Dependent Randomized Rounding for Budget Constrained Experimental Design Khurram Yamin Edward Kennedy Bryan Wilder 10 0 0 15 Jun 2025
Body Discovery of Embodied AI Zhe Sun Pengfei Tian Xiaozhu Hu Xiaoyu Zhao Huiying Li Zhenliang Zhang 59 0 0 25 Mar 2025
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity Shizhou Xu Thomas Strohmer 43 0 0 27 Sep 2024
Finely Stratified Rerandomization Designs Max Cytrynbaum 73 1 0 03 Jul 2024
Some theoretical foundations for the design and analysis of randomized experiments Lei Shi Xinran Li 51 2 0 14 Jun 2024
A Unified Framework for Rerandomization using Quadratic Forms Kyle Schindl Zach Branson 47 1 0 19 Mar 2024
Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance Yuhao Wang Xinran Li 65 2 0 05 Dec 2023
Causal inference with Machine Learning-Based Covariate Representation Yuhang Wu Jinghai He Zeyu Zheng CML 61 0 0 03 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 21 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
Task-specific experimental design for treatment effect estimation Beth D. Connolly Kim Moore Tobias Schwedes Alexander Adam Gary Willis Ilya Feige Christopher Frye CML 61 3 0 08 Jun 2023
Data Augmentation for Imbalanced Regression Samuel Stocksieker Denys Pommeret Arthur Charpentier 67 8 0 18 Feb 2023
The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response David Azriel A. Krieger A. Kapelner 51 3 0 04 Dec 2022
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls Yiping Lu Jiajin Li Lexing Ying Jose H. Blanchet 52 2 0 28 Nov 2022
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
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
Optimality of Matched-Pair Designs in Randomized Controlled Trials Yuehao Bai 85 53 0 15 Jun 2022
Power and Sample Size Calculations for Rerandomization Zach Branson Xinran Li Peng Ding 68 10 0 07 Jan 2022
Treatment effect validation via a permutation test in Stata Taihui Li 22 0 0 23 Oct 2021
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments Ke Zhu Hanzhong Liu Yuehan Yang 26 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
Multiple conditional randomization tests for lagged and spillover treatment effects Yao Zhang Qingyuan Zhao CML 46 1 0 21 Apr 2021
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects Devin Caughey Allan Dafoe Xinran Li Luke W. Miratrix 64 32 0 22 Jan 2021
Rerandomization in stratified randomized experiments Xinhe Wang Tingyu Wang Hanzhong Liu 57 22 0 10 Nov 2020
Covariate-adjusted Fisher randomization tests for the average treatment effect Anqi Zhao Peng Ding 63 43 0 27 Oct 2020
Efficient Balanced Treatment Assignments for Experimentation David Arbour Drew Dimmery Anup B. Rao 45 7 0 21 Oct 2020
On the Optimality of Randomization in Experimental Design: How to Randomize for Minimax Variance and Design-Based Inference Nathan Kallus 26 9 0 06 May 2020
Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning Xiaokang Luo Tirthankar Dasgupta Min‐ge Xie Regina Y. Liu CML 42 18 0 17 Apr 2020
Gaussian Prepivoting for Finite Population Causal Inference P. Cohen Colin B. Fogarty 23 26 0 16 Feb 2020
Balancing Covariates in Randomized Experiments with the Gram-Schmidt Walk Design Christopher Harshaw Fredrik Sävje D. Spielman Peng Zhang 92 46 0 08 Nov 2019
Balancing Gaussian vectors in high dimension Paxton Turner Raghu Meka Philippe Rigollet 96 27 0 30 Oct 2019
Regression-adjusted average treatment effect estimates in stratified randomized experiments Hanzhong Liu Yuehan Yang 50 55 0 05 Aug 2019
Rerandomization and Regression Adjustment Xinran Li Peng Ding 60 96 0 26 Jun 2019
Auditable Blockchain Randomization Tool Olivia Saa Julio Michael Stern 16 8 0 20 Apr 2019
Rerandomization in $2^K$ Factorial Experiments Xinran Li Peng Ding D. Rubin 38 26 0 28 Dec 2018
Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity Zach Branson Stephane Shao 39 3 0 14 Aug 2018
Statistical Inference for Covariate-Adaptive Randomization Procedures Wei Ma Yichen Qin Yang Li F. Hu 34 49 0 25 Jul 2018
Causal Inference Under Network Interference: A Framework for Experiments on Social Networks E. Kao CML 100 14 0 28 Aug 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects Marc Ratkovic D. Tingley 63 11 0 16 Mar 2017
Nearly Random Designs with Greatly Improved Balance A. Krieger David Azriel A. Kapelner 70 40 0 07 Dec 2016
General forms of finite population central limit theorems with applications to causal inference Xinran Li Peng Ding AI4CE 81 193 0 16 Oct 2016
Asymptotic Theory of Rerandomization in Treatment-Control Experiments Xinran Li Peng Ding D. Rubin 100 121 0 03 Apr 2016
Model-assisted design of experiments in the presence of network correlated outcomes Guillaume W. Basse E. Airoldi CML 67 73 0 03 Jul 2015
Optimal A Priori Balance in the Design of Controlled Experiments Nathan Kallus 166 96 0 02 Dec 2013
Causal inference from $2^k$ factorial designs using the potential outcomes model Tirthankar Dasgupta Natesh S. Pillai D. Rubin CML 97 16 0 11 Nov 2012