A more comprehensive and reliable analysis of individual differences with generalized random forest for high-dimensional data: validation and guidelines
Jinwoo Lee, Junghoon Park, Maria Pak, Seung Yun Choi, Jiook Cha
This paper improves generalized random forest for analyzing individual treatment effects by stabilizing predictions and identifying key moderators in high-dimensional data.
bioRxiv · Oct 28, 2025 · PreprintNeuroscience