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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

16 October 2016
Xinran Li
Peng Ding
    AI4CE
ArXivPDFHTML

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

6 / 6 papers shown
Title
A randomization-based perspective of analysis of variance: a test
  statistic robust to treatment effect heterogeneity
A randomization-based perspective of analysis of variance: a test statistic robust to treatment effect heterogeneity
Peng Ding
Tirthankar Dasgupta
40
15
0
05 Aug 2016
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Xinran Li
Peng Ding
D. Rubin
40
121
0
03 Apr 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
37
41
0
10 Jan 2015
Sharp bounds on the variance in randomized experiments
Sharp bounds on the variance in randomized experiments
P. Aronow
D. Green
Donald K. K. Lee
58
83
0
26 May 2014
A paradox from randomization-based causal inference
A paradox from randomization-based causal inference
Peng Ding
67
77
0
02 Feb 2014
Rerandomization to improve covariate balance in experiments
Rerandomization to improve covariate balance in experiments
Kari Lock Morgan
D. Rubin
CML
64
335
0
24 Jul 2012
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