most citedRandom Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

stat.ML2017★ 3 cited

Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials

Xiaogang Su, Annette T. Peña, Lei Liu +1

Assessing heterogeneous treatment effects has become a growing interest in advancing precision medicine. Individualized treatment effects (ITE) play a critical role in such an ende…