Heterogeneous treatment effect analysis based on machine‐learning methodology

Heterogeneous treatment effect (HTE) analysis focuses on examining varying treatment effects for individuals or subgroups in a population. For example, an HTE‐informed understanding can critically guide physicians to individualize the medical treatment for a certain disease. However, HTE analysis ha...

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Detalles Bibliográficos
Autores principales: Gong, Xiajing, Hu, Meng, Basu, Mahashweta, Zhao, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592515/
https://www.ncbi.nlm.nih.gov/pubmed/34716669
http://dx.doi.org/10.1002/psp4.12715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592515/
https://www.ncbi.nlm.nih.gov/pubmed/34716669
http://dx.doi.org/10.1002/psp4.12715

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