A tree-ensemble framework (LRF) estimates and predicts whole response trajectories from sparse, irregular longitudinal data using PACE or adaptive linear mixed models as node-wise smoothers.
Regulatory experiences with the use of multiple imputation for missing data in a phase 3 confirmatory trial.Therapeutic Innovation & Regulatory Science, 60(1):8–14, 2026
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Longitudinal Random Forests for Sparse and Irregular Response Trajectories
A tree-ensemble framework (LRF) estimates and predicts whole response trajectories from sparse, irregular longitudinal data using PACE or adaptive linear mixed models as node-wise smoothers.