Comparison of methods that combine multiple randomized trials to estimate heterogeneous treatment effects

DOI10.1002/sim.9955zbMath1545.62248MaRDI QIDQ6618414

Hwanhee Hong, Trang Quynh Nguyen, Tengjie Tang, Carly Lupton Brantner, Elizabeth A. Stuart, Congwen Zhao

Publication date: 14 October 2024

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

zbMATH Keywords

machine learningpersonalized medicinecombining datatreatment effect heterogeneity

Mathematics Subject Classification ID

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

Cites Work

• BART: Bayesian additive regression trees
• Generalized random forests
• Multiple imputation for multilevel data with continuous and binary variables
• Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
• Quasi-oracle estimation of heterogeneous treatment effects
• Combining observational and experimental datasets using shrinkage estimators
• Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis

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