A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources

10 March 2021

Papers citing "A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources"

8 / 8 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Haoyang Li Jie Xu Kyra Gan Fei Wang Chengxi Zang FedML CML 33 0 0 04 May 2025
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 33 2 0 27 Feb 2024
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 35 1 0 19 Jul 2023
Meta-analysis of individualized treatment rules via sign-coherency Jay Jojo Cheng J. Huling Guanhua Chen 22 0 0 28 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 24 8 0 12 Nov 2022
A Review of Generalizability and Transportability Irina Degtiar Sherri Rose CML 26 210 0 23 Feb 2021
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods Cheng Ju Mary A Combs S. Lendle J. Franklin R. Wyss Sebastian Schneeweiss M. J. van der Laan 16 52 0 07 Mar 2017