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A paradox from randomization-based causal inference
2 February 2014
Peng Ding
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Papers citing
"A paradox from randomization-based causal inference"
10 / 10 papers shown
Title
The Frisch--Waugh--Lovell Theorem for Standard Errors
Peng Ding
39
15
0
14 Sep 2020
On the power of conditional independence testing under model-X
Eugene Katsevich
Aaditya Ramdas
CML
108
11
0
12 May 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
42
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
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Qingyuan Zhao
Dylan S. Small
B. Bhattacharya
191
137
0
30 Nov 2017
Generalizing Distance Covariance to Measure and Test Multivariate Mutual Dependence
Ze Jin
David S. Matteson
63
37
0
08 Sep 2017
Bridging Finite and Super Population Causal Inference
Peng Ding
Xinran Li
Luke W. Miratrix
CML
34
40
0
28 Feb 2017
General forms of finite population central limit theorems with applications to causal inference
Xinran Li
Peng Ding
AI4CE
81
193
0
16 Oct 2016
Decomposing Treatment Effect Variation
Peng Ding
Avi Feller
Luke W. Miratrix
CML
122
82
0
21 May 2016
A Potential Tale of Two by Two Tables from Completely Randomized Experiments
Peng Ding
Tirthankar Dasgupta
CML
68
41
0
10 Jan 2015
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