A SuperLearner-enforced approach for the estimation of treatment effect in pediatric trials.

Danila AzzolinaRosanna ComorettoLiviana Da DaltSilvia BressanDario Gregori

Published in: Digital health (2023)

The simulation results revealed an increased power in ATE estimation for the SL-enforced estimation compared to the unadjusted estimates for all the algorithms composing the ensemble SL.

Keyphrases

machine learning
deep learning
single cell
combination therapy
virtual reality
childhood cancer