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

DOI10.1093/biomet/asaa103OpenAlexW2919006242MaRDI QIDQ5022665

Lihua Lei, Peng Ding

Publication date: 19 January 2022

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.07585

zbMATH Keywords

causal inferencemodel misspecificationaverage treatment effecthigh-dimensional covariate

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Pair-Switching Rerandomization ⋮ Randomization-based Joint Central Limit Theorem and Efficient Covariate Adjustment in Randomized Block 2 ^K Factorial Experiments ⋮ Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations ⋮ Rerandomization with diminishing covariate imbalance and diverging number of covariates

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