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Efficient and Debiased Learning of Average Hazard Under Non-Proportional Hazards

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Meng, Xiang, Tian, Lu, Kehl, Kenneth, Uno, Hajime
Formato:	Preprint
Publicado:	2026
Materias:	Methodology Applications Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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