Estimating individual treatment effects by gradient boosting trees

DOI10.1002/sim.8357zbMATH Open1546.62719MaRDI QIDQ6627236

Shonosuke Sugasawa, Hisashi Noma

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

subgroup analysispotential outcomeprecision medicineindividual treatment effectsgradient boosting trees

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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Related Items (3)

Rule ensemble method with adaptive group Lasso for heterogeneous treatment effect estimation ⋮ A nonparametric method for value function guided subgroup identification via gradient tree boosting for censored survival data ⋮ Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data

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