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Causal Interaction Trees: Tree-Based Subgroup Identification for
  Observational Data

Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data

Biometrics (Biometrics), 2020
6 March 2020
Jiabei Yang
Issa J. Dahabreh
Jon Steingrimsson
    CML
ArXiv (abs)PDFHTML

Papers citing "Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data"

4 / 4 papers shown
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect
  Estimation
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect EstimationIEEE International Conference on Information Reuse and Integration (IRI), 2024
Chan Hsu
Jun-Ting Wu
Yihuang Kang
CML
143
1
0
27 Aug 2024
Tree-based Subgroup Discovery In Electronic Health Records:
  Heterogeneity of Treatment Effects for DTG-containing Therapies
Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies
Jiabei Yang
Anne Mwangi
R. Kantor
Issa J. Dahabreh
M. Nyambura
A. Delong
J. Hogan
Jon Steingrimsson
CML
160
2
0
30 Aug 2022
Causal Rule Ensemble: Interpretable Discovery and Inference of
  Heterogeneous Treatment Effects
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
Falco J. Bargagli-Stoffi
Riccardo Cadei
Kwonsang Lee
Francesca Dominici
CML
602
32
0
18 Sep 2020
Estimating heterogeneous treatment effects with right-censored data via
  causal survival forests
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
Yifan Cui
Michael R. Kosorok
Erik Sverdrup
Stefan Wager
Ruoqing Zhu
CML
360
105
0
27 Jan 2020
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