Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data-Reference-Cited by-同舟云学术

Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data

Published:2021-02-11 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Yang Jiabei¹²^ORCID,Dahabreh Issa J.³^ORCID,Steingrimsson Jon A.¹^ORCID

Affiliation:

1. Department of Biostatistics School of Public Health Brown University Providence Rhode Island

2. Center for Evidence Synthesis in Health School of Public Health Brown University Providence Rhode Island

3. Departments of Epidemiology and Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts

Funder

National Institute of Allergy and Infectious Diseases

Patient-Centered Outcomes Research Institute

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13432

Reference28 articles.

1. Recursive partitioning for heterogeneous causal effects

2. Doubly Robust Estimation in Missing Data and Causal Inference Models

3. Benkeser D.andVan Der Laan M.(2016)The highly adaptive lasso estimator. In2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) pp.689–696.IEEE.

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