Statistical Inference for Covariate-Adaptive Randomization Procedures

DOI10.1080/01621459.2019.1635483zbMath1441.62210arXiv1807.09678OpenAlexW2955756782MaRDI QIDQ5120683

Wei Ma, Yang Li, Yichen Qin, Fei-fang Hu

Publication date: 15 September 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1807.09678

zbMATH Keywords

asymptotic normalitypowersequential analysisbalancing covariatesconservative tests

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Sequential statistical analysis (62L10)

Related Items (11)

Inference after covariate-adaptive randomisation: aspects of methodology and theory ⋮ Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’ ⋮ Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments ⋮ Multi-arm covariate-adaptive randomization ⋮ Toward Better Practice of Covariate Adjustment in Analyzing Randomized Clinical Trials ⋮ A New and Unified Family of Covariate Adaptive Randomization Procedures and Their Properties ⋮ Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations ⋮ The impacts of unobserved covariates on covariate-adaptive randomized experiments ⋮ Adaptive randomization in network data ⋮ Adaptive Randomization via Mahalanobis Distance ⋮ Permutation test for heterogeneous treatment effects with a nuisance parameter

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• Forcing a sequential experiment to be balanced

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