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1610.04821
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General forms of finite population central limit theorems with applications to causal inference
16 October 2016
Xinran Li
Peng Ding
AI4CE
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Papers citing
"General forms of finite population central limit theorems with applications to causal inference"
50 / 53 papers shown
Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
Saikat Sengupta
K. Khamaru
Suvrojit Ghosh
Tirthankar Dasgupta
141
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0
25 Oct 2025
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
Jonas M. Mikhaeil
Donald P. Green
126
1
0
31 Oct 2024
Some theoretical foundations for the design and analysis of randomized experiments
Journal of Causal Inference (JCI), 2024
Lei Shi
Xinran Li
244
2
0
14 Jun 2024
Generalized Rosenbaum Bounds Sensitivity Analysis for Matched Observational Studies with Treatment Doses: Sufficiency, Consistency, and Efficiency
Siyu Heng
Hyunseung Kang
204
0
0
21 Mar 2024
A Combinatorial Central Limit Theorem for Stratified Randomization
Purevdorj Tuvaandorj
262
0
0
22 Feb 2024
Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
Yuhao Wang
Xinran Li
196
3
0
05 Dec 2023
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su
Wenlong Mou
Peng Ding
Martin J. Wainwright
233
2
0
16 Nov 2023
Federated Experiment Design under Distributed Differential Privacy
Wei-Ning Chen
Graham Cormode
Akash Bharadwaj
Peter Romov
Ayfer Özgür
FedML
260
4
0
07 Nov 2023
Causal inference with Machine Learning-Based Covariate Representation
Yuhang Wu
Jinghai He
Zeyu Zheng
CML
198
1
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
165
0
0
04 Oct 2023
Debiased Regression Adjustment in Completely Randomized Experiments with Moderately High-dimensional Covariates
Xin Lu
Fan Yang
Yuhao Wang
207
8
0
05 Sep 2023
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
Electronic Journal of Statistics (EJS), 2023
Shurong Lin
Mark Bun
Marco Gaboardi
E. D. Kolaczyk
Adam D. Smith
333
9
0
19 Jan 2023
Rerandomization and covariate adjustment in split-plot designs
Wenqi Shi
Anqi Zhao
Hanzhong Liu
207
4
0
26 Sep 2022
Design-based theory for cluster rerandomization
Biometrika (Biometrika), 2022
Xin Lu
Tianle Liu
Hanzhong Liu
Peng Ding
198
18
0
06 Jul 2022
An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
Han Yuan
Mingxuan Liu
Lican Kang
Chenkui Miao
Ying Wu
FAtt
281
14
0
24 Apr 2022
Power and Sample Size Calculations for Rerandomization
Biometrika (Biometrika), 2022
Zach Branson
Xinran Li
Peng Ding
256
11
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
280
0
0
30 Nov 2021
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates
Annals of Statistics (Ann. Stat.), 2021
Yuhao Wang
Xinran Li
272
19
0
06 Sep 2021
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates
Journal of the American Statistical Association (JASA), 2021
Anqi Zhao
Peng Ding
167
41
0
31 Jul 2021
Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
Xinran Li
Dylan S. Small
176
5
0
06 Jul 2021
Reconciling design-based and model-based causal inferences for split-plot experiments
Annals of Statistics (Ann. Stat.), 2021
Anqi Zhao
Peng Ding
CML
291
18
0
03 May 2021
Multiple conditional randomization tests for lagged and spillover treatment effects
Yao Zhang
Qingyuan Zhao
CML
305
1
0
21 Apr 2021
Model-assisted analyses of cluster-randomized experiments
Fangzhou Su
Peng Ding
176
59
0
09 Apr 2021
Randomization Inference for Composite Experiments with Spillovers and Peer Effects
Hui Xu
Guillaume W. Basse
163
1
0
28 Feb 2021
Population Interference in Panel Experiments
Social Science Research Network (SSRN), 2021
K. Han
Iavor Bojinov
Guillaume W. Basse
302
13
0
28 Feb 2021
Efficient Estimation for Staggered Rollout Designs
J. Roth
Pedro H. C. Sant’Anna
OffRL
468
76
0
02 Feb 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
229
39
0
22 Jan 2021
Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates
Ruoyu Wang
Qihua Wang
Wang Miao
Xiaohua Zhou
172
3
0
19 Nov 2020
Rerandomization in stratified randomized experiments
Xinhe Wang
Tingyu Wang
Hanzhong Liu
254
25
0
10 Nov 2020
Covariate-adjusted Fisher randomization tests for the average treatment effect
Journal of Econometrics (J. Econometrics), 2020
Anqi Zhao
Peng Ding
286
46
0
27 Oct 2020
The Generalized Oaxaca-Blinder Estimator
Kevin Guo
Guillaume W. Basse
177
44
0
24 Apr 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
247
19
0
17 Apr 2020
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
Quantitative Economics (Quant. Econ.), 2020
Iavor Bojinov
Ashesh Rambachan
N. Shephard
345
56
0
22 Mar 2020
Combining Observational and Experimental Datasets Using Shrinkage Estimators
Biometrics (Biometrics), 2020
Evan T. R. Rosenman
Guillaume W. Basse
Art B. Owen
Mike Baiocchi
CML
265
72
0
16 Feb 2020
Gaussian Prepivoting for Finite Population Causal Inference
P. Cohen
Colin B. Fogarty
300
27
0
16 Feb 2020
Regression-adjusted average treatment effect estimates in stratified randomized experiments
Hanzhong Liu
Yuehan Yang
185
58
0
05 Aug 2019
Rerandomization and Regression Adjustment
Xinran Li
Peng Ding
190
108
0
26 Jun 2019
Rerandomization in
2
K
2^K
2
K
Factorial Experiments
Xinran Li
Peng Ding
D. Rubin
191
27
0
28 Dec 2018
Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity
Zach Branson
Stephane Shao
164
4
0
14 Aug 2018
Sampling-based randomized designs for causal inference under the potential outcomes framework
Zach Branson
Tirthankar Dasgupta
CML
279
9
0
05 Aug 2018
Regression adjustment in completely randomized experiments with a diverging number of covariates
Lihua Lei
Peng Ding
371
44
0
20 Jun 2018
A Unified Theory of Regression Adjustment for Design-based Inference
J. Middleton
CML
179
17
0
15 Mar 2018
Inference on a New Class of Sample Average Treatment Effects
Journal of the American Statistical Association (JASA), 2017
Jasjeet Sekhon
Yotam Shem-Tov
CML
121
15
0
07 Aug 2017
Reallocating and Resampling: A Comparison for Inference
Kari Lock Morgan
113
1
0
07 Aug 2017
Selective inference for effect modification via the lasso
Qingyuan Zhao
Dylan S. Small
Ashkan Ertefaie
CML
358
53
0
22 May 2017
Bridging Finite and Super Population Causal Inference
Peng Ding
Xinran Li
Luke W. Miratrix
CML
98
48
0
28 Feb 2017
A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
Peng Ding
Tirthankar Dasgupta
152
16
0
05 Aug 2016
Decomposing Treatment Effect Variation
Peng Ding
Avi Feller
Luke W. Miratrix
CML
236
93
0
21 May 2016
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Xinran Li
Peng Ding
D. Rubin
431
130
0
03 Apr 2016
A Potential Tale of Two by Two Tables from Completely Randomized Experiments
Peng Ding
Tirthankar Dasgupta
CML
184
45
0
10 Jan 2015
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