Robust variance estimation for covariate-adjusted unconditional treatment effect in randomized clinical trials with binary outcomes

DOI10.1080/24754269.2023.2205802arXiv2302.10404OpenAlexW4367316612MaRDI QIDQ6113788

Ting Ye, Jun Shao, Unnamed Author, Yanyao Yi

Publication date: 11 July 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2302.10404

zbMATH Keywords

logistic regressionrisk differencestandardizationmodel-assistedg-computationnonlinear covariate adjustment

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Randomization does not justify logistic regression
• Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique
• THE ESTIMATION AND SIGNIFICANCE OF THE LOGARITHM OF A RATIO OF FREQUENCIES
• Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods
• Efficiency Study of Estimators for a Treatment Effect in a Pretest–Posttest Trial
• Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials

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