What makes forest-based heterogeneous treatment effect estimators work?

DOI10.1214/23-aoas1799arXiv2206.10323OpenAlexW4391418085WikidataQ129077130 ScholiaQ129077130MaRDI QIDQ6128441

Erik Sverdrup, Achim Zeileis, Christian Haslinger, Stefan Wager, Heidi Seibold, Susanne Dandl, Torsten Hothorn

Publication date: 15 April 2024

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2206.10323

zbMATH Keywords

personalized medicinerandom forestobservational dataheterogeneous treatment effectscausal forestspostpartum hemorrhage

Mathematics Subject Classification ID

Applications of statistics (62Pxx)