The Generalized Oaxaca-Blinder Estimator*

Covariate-adjusted Fisher randomization tests for the average treatment effect

(2021) Anqi Zhao et al.   JOURNAL OF ECONOMETRICS

Randomization Tests for Weak Null Hypotheses in Randomized Experiments

(2020) Jason Wu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regression-adjusted average treatment effect estimates in stratified randomized experiments

(2020) Hanzhong Liu et al.   BIOMETRIKA

Regression adjustment in completely randomized experiments with a diverging number of covariates

(2020) Lihua Lei et al.   BIOMETRIKA

Efficient and adaptive linear regression in semi-supervised settings

(2018) Abhishek Chakrabortty et al.   ANNALS OF STATISTICS

Regression-assisted inference for the average treatment effect in paired experiments

(2018) Colin B Fogarty   BIOMETRIKA

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Covariate adjustment and estimation of mean response in randomised trials

(2018) Jonathan W. Bartlett   PHARMACEUTICAL STATISTICS

Causal Inference: A Missing Data Perspective

(2018) Peng Ding et al.   STATISTICAL SCIENCE

The interlocking world of surveys and experiments

(2018) Stephen E. Fienberg et al.   Annals of Applied Statistics

The 15th Armitage Lecture-Randomization: The forgotten component of the randomized clinical trial

(2018) William F. Rosenberger et al.   STATISTICS IN MEDICINE

Nonparametric Shape-Restricted Regression

(2018) Adityanand Guntuboyina et al.   STATISTICAL SCIENCE

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

(2017) Rahul Mukerjee et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference

(2017) Xinran Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Model-Assisted Survey Estimation with Modern Prediction Techniques

(2017) F. Jay Breidt et al.   STATISTICAL SCIENCE

High-dimensional regression adjustments in randomized experiments

(2016) Stefan Wager et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Lasso adjustments of treatment effect estimates in randomized experiments

(2016) Adam Bloniarz et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique

(2013) Winston Lin   Annals of Applied Statistics

Exact and asymptotically robust permutation tests

(2013) EunYi Chung et al.   ANNALS OF STATISTICS

Nearly-Isotonic Regression

(2011) Ryan J. Tibshirani et al.   TECHNOMETRICS

Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

(2009) W. Cao et al.   BIOMETRIKA

Is regression adjustment supported by the Neyman model for causal inference?

(2009) Peter Z. Schochet   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Attributing Effects to a Cluster-Randomized Get-Out-the-Vote Campaign

(2009) Ben B. Hansen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On regression adjustments in experiments with several treatments

(2008) David A. Freedman   Annals of Applied Statistics

An extension of the Blinder–Oaxaca decomposition to nonlinear models

(2008) Thomas K. Bauer et al.   AStA-Advances in Statistical Analysis

Randomization Does Not Justify Logistic Regression

(2008) David A. Freedman   STATISTICAL SCIENCE

On regression adjustments to experimental data

(2007) David A. Freedman   ADVANCES IN APPLIED MATHEMATICS