Statistical inference following covariate-adaptive randomization:  Recent advances

Steve Coad

Statistical inference following covariate-adaptive randomization: Recent advances

Steve Coad

School of Arch, Tech and Eng

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Chapter › peer-review

Abstract

Suppose that K ≥ 2 treatments are being compared in a clinical trial. If complete randomization is used, the next patient is equally likely to be assigned to any of the K treatments, so that the treatment allocation probabilities
are all 1/K. So this randomization rule does not take into account the previous treatment assignments, responses and covariate vectors, and the current patient’s covariate vector.

Original language	English
Title of host publication	Modern Adaptive Randomized Clinical Trials
Subtitle of host publication	Statistical and Practical Aspects
Editors	Oleksandr Sverdlov
Place of Publication	New York
Publisher	Chapman and Hall/CRC
Chapter	7
Pages	159-175
Number of pages	16
ISBN (Electronic)	9780429161124
ISBN (Print)	9781482239881
Publication status	Published - Jun 2015

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https://www.taylorfrancis.com/chapters/edit/10.1201/b18640-13/statistical-inference-following-covariate%E2%80%93adaptive-randomization-recent-advances-stephen-coad

Cite this

Coad, S. (2015). Statistical inference following covariate-adaptive randomization: Recent advances. In O. Sverdlov (Ed.), Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects (pp. 159-175). Chapman and Hall/CRC. https://www.taylorfrancis.com/chapters/edit/10.1201/b18640-13/statistical-inference-following-covariate%E2%80%93adaptive-randomization-recent-advances-stephen-coad

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title = "Statistical inference following covariate-adaptive randomization: Recent advances",

abstract = "Suppose that K ≥ 2 treatments are being compared in a clinical trial. If complete randomization is used, the next patient is equally likely to be assigned to any of the K treatments, so that the treatment allocation probabilities are all 1/K. So this randomization rule does not take into account the previous treatment assignments, responses and covariate vectors, and the current patient{\textquoteright}s covariate vector.",

author = "Steve Coad",

year = "2015",

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language = "English",

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Coad, S 2015, Statistical inference following covariate-adaptive randomization: Recent advances. in O Sverdlov (ed.), Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects. Chapman and Hall/CRC, New York, pp. 159-175. <https://www.taylorfrancis.com/chapters/edit/10.1201/b18640-13/statistical-inference-following-covariate%E2%80%93adaptive-randomization-recent-advances-stephen-coad>

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AB - Suppose that K ≥ 2 treatments are being compared in a clinical trial. If complete randomization is used, the next patient is equally likely to be assigned to any of the K treatments, so that the treatment allocation probabilities are all 1/K. So this randomization rule does not take into account the previous treatment assignments, responses and covariate vectors, and the current patient’s covariate vector.

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BT - Modern Adaptive Randomized Clinical Trials

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Statistical inference following covariate-adaptive randomization: Recent advances

Abstract

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