General forms of finite population central limit theorems with applications to causal inference

16 October 2016

Papers citing "General forms of finite population central limit theorems with applications to causal inference"

32 / 32 papers shown

Title
Generalized Rosenbaum Bounds Sensitivity Analysis for Matched Observational Studies with Treatment Doses: Sufficiency, Consistency, and Efficiency Siyu Heng Hyunseung Kang 21 0 0 21 Mar 2024
A decorrelation method for general regression adjustment in randomized experiments Fangzhou Su Wenlong Mou Peng Ding Martin J. Wainwright 66 1 0 16 Nov 2023
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
Design-based theory for cluster rerandomization Xin Lu Tianle Liu Hanzhong Liu Peng Ding 64 14 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 65 8 0 24 Apr 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
Model-assisted analyses of cluster-randomized experiments Fangzhou Su Peng Ding 51 48 0 09 Apr 2021
Efficient Estimation for Staggered Rollout Designs J. Roth Pedro H. C. Sant’Anna OffRL 57 52 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 58 32 0 22 Jan 2021
Rerandomization in stratified randomized experiments Xinhe Wang Tingyu Wang Hanzhong Liu 54 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
The Generalized Oaxaca-Blinder Estimator Kevin Guo Guillaume W. Basse 41 39 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 39 18 0 17 Apr 2020
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective Iavor Bojinov Ashesh Rambachan N. Shephard 56 49 0 22 Mar 2020
Regression-adjusted average treatment effect estimates in stratified randomized experiments Hanzhong Liu Yuehan Yang 48 55 0 05 Aug 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
Sampling-based randomized designs for causal inference under the potential outcomes framework Zach Branson Tirthankar Dasgupta CML 28 7 0 05 Aug 2018
Regression adjustment in completely randomized experiments with a diverging number of covariates Lihua Lei Peng Ding 77 50 0 20 Jun 2018
A Unified Theory of Regression Adjustment for Design-based Inference J. Middleton CML 51 17 0 15 Mar 2018
Inference on a New Class of Sample Average Treatment Effects Jasjeet Sekhon Yotam Shem-Tov CML 49 15 0 07 Aug 2017
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 133 50 0 22 May 2017
Bridging Finite and Super Population Causal Inference Peng Ding Xinran Li Luke W. Miratrix CML 29 40 0 28 Feb 2017
A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity Peng Ding Tirthankar Dasgupta 58 15 0 05 Aug 2016
Decomposing Treatment Effect Variation Peng Ding Avi Feller Luke W. Miratrix CML 122 82 0 21 May 2016
Asymptotic Theory of Rerandomization in Treatment-Control Experiments Xinran Li Peng Ding D. Rubin 100 121 0 03 Apr 2016
A Potential Tale of Two by Two Tables from Completely Randomized Experiments Peng Ding Tirthankar Dasgupta CML 66 41 0 10 Jan 2015
Sharp bounds on the variance in randomized experiments P. Aronow D. Green Donald K. K. Lee 87 82 0 26 May 2014
A paradox from randomization-based causal inference Peng Ding 114 77 0 02 Feb 2014
Rerandomization to improve covariate balance in experiments Kari Lock Morgan D. Rubin CML 101 337 0 24 Jul 2012