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Random Forests of Interaction Trees for Estimating Individualized
  Treatment Effects in Randomized Trials

Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials

14 September 2017
X. Su
A. T. Peña
Lei Liu
R. Levine
    CML
ArXivPDFHTML

Papers citing "Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials"

3 / 3 papers shown
Title
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling
David Svensson
Erik Hermansson
N. Nikolaou
Konstantinos Sechidis
Ilya Lipkovich
CML
61
0
0
02 May 2025
How to select predictive models for causal inference?
How to select predictive models for causal inference?
M. Doutreligne
Gaël Varoquaux
ELM
CML
29
2
0
01 Feb 2023
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,222
0
04 May 2011
1