Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects

Jawadekar, N., Kezios, K., Odden, M. C., Stingone, J. A., Calonico, S., Rudolph, K., & Zeki Al Hazzouri, A. (2023). Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects. American Journal of Epidemiology, 192(7), 1155–1165. https://doi.org/10.1093/aje/kwad043
Authors:
Neal Jawadekar
Katrina Kezios
Michelle C. Odden
Jeanette A. Stingone
Sebastian Calonico
Kara Rudolph
Adina Zeki Al Hazzouri
Affiliated Authors:
Neal Jawadekar
Katrina Kezios
Jeanette A. Stingone
Sebastian Calonico
Kara Rudolph
Adina Zeki Al Hazzouri
Columbia Affiliation:
Author Keywords:
data science
effect modifiers
epidemiologic methods
honest causal forests
machine learning
precision medicine
elink
Publication Type:
Article
Unique ID:
10.1093/aje/kwad043
PMID:
36843042
DOI:
10.1093/aje/kwad043
Journal:
American Journal of Epidemiology
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

Record Created: