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A Unified Theory of Regression Adjustment for Design-based Inference

A Unified Theory of Regression Adjustment for Design-based Inference

15 March 2018
J. Middleton
    CML
ArXivPDFHTML

Papers citing "A Unified Theory of Regression Adjustment for Design-based Inference"

3 / 3 papers shown
Title
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
46
193
0
16 Oct 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
Estimating Average Causal Effects Under General Interference, with
  Application to a Social Network Experiment
Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment
P. Aronow
Cyrus Samii
CML
65
254
0
27 May 2013
1