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Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning

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Clinical Trials: Journal of the Society for Clinical Trials

Published online on

Abstract

Clinical Trials, Ahead of Print.
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEARCH Universal HIV Test-and-Treat Trial (2013–2017), we tell our story of ...