The benefits of covariate adjustment for adaptive multi-arm designs

URN to cite this document:: urn:nbn:de:bvb:355-epub-778517
DOI to cite this document:: 10.5283/epub.77851

Lee, Kim May ; Robertson, David S. ; Jaki, Thomas

; Emsley, Richard

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 29 Sep 2025 11:09

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Abstract

Covariate adjustment via a regression approach is known to increase the precision of statistical inference when fixed trial designs are employed in randomized controlled studies. When an adaptive multi-arm design is employed with the ability to select treatments, it is unclear how covariate adjustment affects various aspects of the study. Consider the design framework that relies on pre-specified ...