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Efficient Covariate-Adaptive Randomization with Smallest Selection Bias in Clinical Trials
The power of conventional hypothesis tests and the selection bias in covariate-adaptive randomized clinical trials are typically investigated through simulation studies. In this article, we develop a theoretical framework for analyzing both the asymptotic power of linear-model-based tests for treatm
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