ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1402.0142
  4. Cited By
A paradox from randomization-based causal inference
v1v2v3v4 (latest)

A paradox from randomization-based causal inference

2 February 2014
Peng Ding
ArXiv (abs)PDFHTML

Papers citing "A paradox from randomization-based causal inference"

10 / 10 papers shown
Title
The Frisch--Waugh--Lovell Theorem for Standard Errors
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
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
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
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
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
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
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
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
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
A Potential Tale of Two by Two Tables from Completely Randomized Experiments
Peng Ding
Tirthankar Dasgupta
CML
68
41
0
10 Jan 2015
1