Iterative Causal Forest: A Novel Algorithm for Subgroup Identification
- DOI
- 10.1093/aje/kwad219
- Published
- 2023-11-07
- Container
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/aje/kwad219,
title = {Iterative Causal Forest: A Novel Algorithm for Subgroup Identification},
author = {Tiansheng Wang and Alexander P Keil and Siyeon Kim and Richard Wyss and Phyo Than Htoo and Michele Jonsson Funk and John B Buse and Michael R Kosorok and Til Stürmer},
year = {2023},
journal = {American Journal of Epidemiology},
doi = {10.1093/aje/kwad219},
url = {https://doi.org/10.1093/aje/kwad219}
}RIS
TY - JOUR TI - Iterative Causal Forest: A Novel Algorithm for Subgroup Identification AU - Tiansheng Wang AU - Alexander P Keil AU - Siyeon Kim AU - Richard Wyss AU - Phyo Than Htoo AU - Michele Jonsson Funk AU - John B Buse AU - Michael R Kosorok AU - Til Stürmer PY - 2023 JO - American Journal of Epidemiology DO - 10.1093/aje/kwad219 UR - https://doi.org/10.1093/aje/kwad219 ER -
APA
Wang, T., Keil, A. P., Kim, S., Wyss, R., Htoo, P. T., Funk, M. J., Buse, J. B., Kosorok, M. R., & Stürmer, T. (2023). Iterative Causal Forest: A Novel Algorithm for Subgroup Identification. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwad219
Source records
- crossref · retrieved 2026-09-27T08:34:21.661Z