A partially heterogeneous weighted fusion learning method for potential heterogeneous treatment effect in multi-site survival study

This study introduces a partially heterogeneous weighted fusion learning method for survival data that effectively identifies potential inter-site heterogeneity in treatment effects, while simultaneously addressing the issue of model misspecification.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-07-01
DOI
https://doi.org/10.1186/s12874-025-02612-3
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
0.00

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article

A partially heterogeneous weighted fusion learning method for potential heterogeneous treatment effect in multi-site survival study

Chen Huang, Yongfu Yu, Guoyou Qin, Kecheng Wei
BMC Medical Research Methodology
Statistical Methods and Inference
article

A partially heterogeneous weighted fusion learning method for potential heterogeneous treatment effect in multi-site survival study

Chen Huang, Yongfu Yu, Guoyou Qin, Kecheng Wei
article en

Abstract

This study introduces a partially heterogeneous weighted fusion learning method for survival data that effectively identifies potential inter-site heterogeneity in treatment effects, while simultaneously addressing the issue of model misspecification.

BMC Medical Research MethodologyVol. 25(1)
National Health and Family Planning Commission (CN), Ministry of Education (KR)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 84%
Statistical Methods and Inference
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