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Regression-adjusted average treatment effect estimates in stratified
  randomized experiments
v1v2 (latest)

Regression-adjusted average treatment effect estimates in stratified randomized experiments

5 August 2019
Hanzhong Liu
Yuehan Yang
ArXiv (abs)PDFHTML

Papers citing "Regression-adjusted average treatment effect estimates in stratified randomized experiments"

15 / 15 papers shown
Title
Finely Stratified Rerandomization Designs
Finely Stratified Rerandomization Designs
Max Cytrynbaum
73
1
0
03 Jul 2024
Some theoretical foundations for the design and analysis of randomized
  experiments
Some theoretical foundations for the design and analysis of randomized experiments
Lei Shi
Xinran Li
51
2
0
14 Jun 2024
A Combinatorial Central Limit Theorem for Stratified Randomization
A Combinatorial Central Limit Theorem for Stratified Randomization
Purevdorj Tuvaandorj
84
0
0
22 Feb 2024
Debiased Regression Adjustment in Completely Randomized Experiments with
  Moderately High-dimensional Covariates
Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates
Xin Lu
Fan Yang
Yuhao Wang
61
6
0
05 Sep 2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev
  Embedding and Minimax Optimality
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality
Jose H. Blanchet
Haoxuan Chen
Yiping Lu
Lexing Ying
71
4
0
25 May 2023
Rerandomization and covariate adjustment in split-plot designs
Rerandomization and covariate adjustment in split-plot designs
Wenqi Shi
Anqi Zhao
Hanzhong Liu
64
2
0
26 Sep 2022
Efficiency and Robustness of Rosenbaum's Regression (Un)-Adjusted
  Rank-based Estimator in Randomized Experiments
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
Design-based theory for Lasso adjustment in randomized block experiments
  and rerandomized experiments
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
To adjust or not to adjust? Estimating the average treatment effect in
  randomized experiments with missing covariates
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
Anqi Zhao
Peng Ding
38
28
0
31 Jul 2021
Reconciling design-based and model-based causal inferences for
  split-plot experiments
Reconciling design-based and model-based causal inferences for split-plot experiments
Anqi Zhao
Peng Ding
CML
57
13
0
03 May 2021
Model-assisted analyses of cluster-randomized experiments
Model-assisted analyses of cluster-randomized experiments
Fangzhou Su
Peng Ding
57
48
0
09 Apr 2021
A general theory of regression adjustment for covariate-adaptive
  randomization: OLS, Lasso, and beyond
A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond
Hanzhong Liu
Fuyi Tu
Wei Ma
CML
23
21
0
19 Nov 2020
Rerandomization in stratified randomized experiments
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
Covariate-adjusted Fisher randomization tests for the average treatment effect
Anqi Zhao
Peng Ding
63
43
0
27 Oct 2020
The Generalized Oaxaca-Blinder Estimator
The Generalized Oaxaca-Blinder Estimator
Kevin Guo
Guillaume W. Basse
41
39
0
24 Apr 2020
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