H. Fu

Longitudinal Random Forests for Sparse and Irregular Response Trajectories

A novel Longitudinal Random Forest framework that leverages tree-based ensemble machine learning with adaptive node-wise longitudinal trajectory estimation with comprehensive interpretation of covariates using both the classical trajectory-based permutation variable importance measure and a newly proposed finite-way in...