most citedOptimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ME2021★ 1 cited

Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19

Nicholas Williams, Michael Rosenblum, Iván Díaz

The rapid finding of effective therapeutics requires the efficient use of available resources in clinical trials. The use of covariate adjustment can yield statistical estimates wi…