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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
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Causal inference with misspecified exposure mappings: separating
  definitions and assumptions
Causal inference with misspecified exposure mappings: separating definitions and assumptions
Fredrik Savje
CML
71
50
0
11 Mar 2021
Covariate-adjusted Fisher randomization tests for the average treatment
  effect
Covariate-adjusted Fisher randomization tests for the average treatment effect
Anqi Zhao
Peng Ding
61
43
0
27 Oct 2020
Rerandomization and Regression Adjustment
Rerandomization and Regression Adjustment
Xinran Li
Peng Ding
60
96
0
26 Jun 2019
Regression adjustment in completely randomized experiments with a
  diverging number of covariates
Regression adjustment in completely randomized experiments with a diverging number of covariates
Lihua Lei
Peng Ding
77
50
0
20 Jun 2018
1