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Lasso adjustments of treatment effect estimates in randomized
  experiments
v1v2v3v4 (latest)

Lasso adjustments of treatment effect estimates in randomized experiments

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2015
13 July 2015
Adam Bloniarz
Hanzhong Liu
Cun-Hui Zhang
Jasjeet Sekhon
Bin Yu
ArXiv (abs)PDFHTML

Papers citing "Lasso adjustments of treatment effect estimates in randomized experiments"

27 / 27 papers shown
Sharp Bounds on the Variance of General Regression Adjustment in
  Randomized Experiments
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
Jonas M. Mikhaeil
Donald P. Green
126
1
0
31 Oct 2024
Estimating Distributional Treatment Effects in Randomized Experiments:
  Machine Learning for Variance Reduction
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai
Tatsushi Oka
Shota Yasui
CML
232
7
0
22 Jul 2024
Some theoretical foundations for the design and analysis of randomized
  experiments
Some theoretical foundations for the design and analysis of randomized experimentsJournal of Causal Inference (JCI), 2024
Lei Shi
Xinran Li
246
2
0
14 Jun 2024
A decorrelation method for general regression adjustment in randomized
  experiments
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su
Wenlong Mou
Peng Ding
Martin J. Wainwright
236
2
0
16 Nov 2023
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
219
9
0
05 Sep 2023
Improving uplift model evaluation on RCT data
Improving uplift model evaluation on RCT data
B. Bokelmann
Stefan Lessmann
288
0
0
05 Oct 2022
Rerandomization and covariate adjustment in split-plot designs
Rerandomization and covariate adjustment in split-plot designs
Wenqi Shi
Anqi Zhao
Hanzhong Liu
207
5
0
26 Sep 2022
Valid Inference after Causal Discovery
Valid Inference after Causal DiscoveryJournal of the American Statistical Association (JASA), 2022
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
459
17
0
11 Aug 2022
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
206
5
0
23 Sep 2021
Rerandomization with Diminishing Covariate Imbalance and Diverging
  Number of Covariates
Rerandomization with Diminishing Covariate Imbalance and Diverging Number of CovariatesAnnals of Statistics (Ann. Stat.), 2021
Yuhao Wang
Xinran Li
277
19
0
06 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 covariatesJournal of the American Statistical Association (JASA), 2021
Anqi Zhao
Peng Ding
176
41
0
31 Jul 2021
Model-assisted analyses of cluster-randomized experiments
Model-assisted analyses of cluster-randomized experiments
Fangzhou Su
Peng Ding
181
59
0
09 Apr 2021
Robust Orthogonal Machine Learning of Treatment Effects
Robust Orthogonal Machine Learning of Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Qi Wu
Xing Yan
OODCML
192
1
0
22 Mar 2021
Sharp bounds for variance of treatment effect estimators in the finite
  population in the presence of covariates
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
180
3
0
19 Nov 2020
Covariate-adjusted Fisher randomization tests for the average treatment
  effect
Covariate-adjusted Fisher randomization tests for the average treatment effectJournal of Econometrics (J. Econometrics), 2020
Anqi Zhao
Peng Ding
292
46
0
27 Oct 2020
High-dimensional Model-assisted Inference for Local Average Treatment
  Effects with Instrumental Variables
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables
Baoluo Sun
Z. Tan
244
18
0
19 Sep 2020
Stable discovery of interpretable subgroups via calibration in causal
  studies
Stable discovery of interpretable subgroups via calibration in causal studies
Raaz Dwivedi
Yan Shuo Tan
Briton Park
Mian Wei
Kevin Horgan
D. Madigan
Bin Yu
CML
278
35
0
23 Aug 2020
The Generalized Oaxaca-Blinder Estimator
The Generalized Oaxaca-Blinder Estimator
Kevin Guo
Guillaume W. Basse
188
44
0
24 Apr 2020
A Survey on Causal Inference
A Survey on Causal InferenceACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
364
651
0
05 Feb 2020
Regression-adjusted average treatment effect estimates in stratified
  randomized experiments
Regression-adjusted average treatment effect estimates in stratified randomized experiments
Hanzhong Liu
Yuehan Yang
187
58
0
05 Aug 2019
Rerandomization and Regression Adjustment
Rerandomization and Regression Adjustment
Xinran Li
Peng Ding
199
109
0
26 Jun 2019
Penalized regression adjusted causal effect estimates in high
  dimensional randomized experiments
Penalized regression adjusted causal effect estimates in high dimensional randomized experiments
Hanzhong Liu
Yuehan Yang
363
4
0
24 Sep 2018
Regression adjustment in completely randomized experiments with a
  diverging number of covariates
Regression adjustment in completely randomized experiments with a diverging number of covariates
Lihua Lei
Peng Ding
378
44
0
20 Jun 2018
Machine Learning for Public Administration Research, with Application to
  Organizational Reputation
Machine Learning for Public Administration Research, with Application to Organizational Reputation
L. Anastasopoulos
Andrew B. Whitford
AI4CE
115
105
0
11 May 2018
A Unified Theory of Regression Adjustment for Design-based Inference
A Unified Theory of Regression Adjustment for Design-based Inference
J. Middleton
CML
200
17
0
15 Mar 2018
How to Make Causal Inferences Using Texts
How to Make Causal Inferences Using Texts
Naoki Egami
Christian Fong
Justin Grimmer
Margaret E. Roberts
Brandon M Stewart
CML
395
177
0
06 Feb 2018
High-dimensional regression adjustments in randomized experiments
High-dimensional regression adjustments in randomized experiments
Stefan Wager
Wenfei Du
Jonathan E. Taylor
Robert Tibshirani
560
124
0
22 Jul 2016
1
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