Optimising precision and power by machine learning in randomised trials with ordinal and time-to-event outcomes with an application to COVID-19
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The rapid finding of effective therapeutics requires efficient use of available resources in clinical trials. Covariate adjustment can yield statistical estimates with improved precision, resulting in a reduction in the number of participants required to draw ... ...
