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Randomization in Clinical Trials: Theory and Practice

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TLDR
In this paper, the effects of bias bias bias on the allocation of treatment allocation in clinical trials are discussed, including the effect of unobserved covariates Selection bias Randomization as a Basis for Inference Inference for Stratified, Blocked, and Covariate-Adjusted Analyses Randomization in Practice Response-Adaptive Randomization Inference For Response Adaptive Rondomization Response Adaptation Randomization is used in Clinical Trials.
Abstract
Preface Randomization and the Clinical Trial Issues in the Design of Clinical Trials Randomization for Balancing Treatment Assignments Balancing on Known Covariates The Effects of Unobserved Covariates Selection Bias Randomization as a Basis for Inference Inference for Stratified, Blocked, and Covariate-Adjusted Analyses Randomization in Practice Response-Adaptive Randomization Inference for Response-Adaptive Rondomization Response-Adaptive Randomization in Practice Some Useful results in Large Sample Theory Large Sample Inference for Complete and Restricted Randomization Large sample Inference for Response-Adaptive Randomization Author Index Subject Index

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Beyond the intention-to-treat in comparative effectiveness research

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