A unified analysis of regression adjustment in randomized experiments

DOI10.1214/24-ejs2233arXiv2210.04360OpenAlexW4392956739MaRDI QIDQ6200913

Ting Ye, Unnamed Author, Qingyuan Zhao

Publication date: 25 March 2024

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.04360

zbMATH Keywords

heteroscedasticityaverage treatment effectcovariate adjustmentrandomized controlled trials

Mathematics Subject Classification ID

Point estimation (62F10) Linear inference, regression (62J99)

Cites Work

• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Is regression adjustment supported by the Neyman model for causal inference?
• Confounding and collapsibility in causal inference
• Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique
• On regression adjustments to experimental data
• On regression adjustments in experiments with several treatments
• Regression-adjusted average treatment effect estimates in stratified randomized experiments
• Efficiency Study of Estimators for a Treatment Effect in a Pretest–Posttest Trial
• Causal Inference for Statistics, Social, and Biomedical Sciences
• The Generalized Oaxaca-Blinder Estimator
• Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment

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