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Asymptotic Theory of Rerandomization in Treatment-Control Experiments

3 April 2016

Papers citing "Asymptotic Theory of Rerandomization in Treatment-Control Experiments"

21 / 21 papers shown

Title
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 71 4 0 07 Nov 2023
The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response David Azriel A. Krieger A. Kapelner 44 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
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
Efficiency and Robustness of Rosenbaum's Regression (Un)-Adjusted Rank-based Estimator in Randomized Experiments Aditya Ghosh Nabarun Deb B. Karmakar B. Sen 45 0 0 30 Nov 2021
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates Yuhao Wang Xinran Li 80 15 0 06 Sep 2021
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model Christopher Harshaw Fredrik Sävje David Eisenstat Vahab Mirrokni Jean Pouget-Abadie 104 34 0 11 Mar 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 56 32 0 22 Jan 2021
Rerandomization in stratified randomized experiments Xinhe Wang Tingyu Wang Hanzhong Liu 51 22 0 10 Nov 2020
Covariate-adjusted Fisher randomization tests for the average treatment effect Anqi Zhao Peng Ding 61 43 0 27 Oct 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
Rerandomization and Regression Adjustment Xinran Li Peng Ding 60 96 0 26 Jun 2019
Rerandomization in $2^K$ Factorial Experiments Xinran Li Peng Ding D. Rubin 35 26 0 28 Dec 2018
A Unified Theory of Regression Adjustment for Design-based Inference J. Middleton CML 51 17 0 15 Mar 2018
Nearly Random Designs with Greatly Improved Balance A. Krieger David Azriel A. Kapelner 65 40 0 07 Dec 2016
General forms of finite population central limit theorems with applications to causal inference Xinran Li Peng Ding AI4CE 75 193 0 16 Oct 2016
Model-assisted design of experiments in the presence of network correlated outcomes Guillaume W. Basse E. Airoldi CML 64 73 0 03 Jul 2015