Finding the Optimal Number of Splits in Double Cross-Fitting Targeted Maximum Likelihood Estimators
Online/Virtual EventEhsan Karim, PhD, M.Sc. Scientist, Advancing Health Assistant Professor, School of Population and Public Health, UBC Finding the Optimal Number of Splits in Double Cross-Fitting Targeted Maximum Likelihood Estimators Flexible machine learning (ML) algorithms have become vital in the realm of epidemiological research, offering refined insights through real-data analyses. However, integrating highly flexible algorithms within […]