A clustering-stratified cross-validation framework for validating omics survival models: application to head and neck cancer

Abstract Background This study tackles the challenge of developing reliable prognostic models for time-to-event (TTE) outcomes using high-dimensional omics data in head and neck cancers. Resampling methods, particularly nested cross-validation, are considered as standard for model hyperparameter sel...

Descripción completa

Detalles Bibliográficos

Autores principales:	Antoine Dubray-Vautrin, Olivier Choussy, Constance Lamy, Grégoire Marret, Joey Martin, Jerzy Klijanienko, Sophie Vacher, Ladidi Ahmanache, Ivan Bieche, Célia Dupain, Christophe Le Tourneau, Jimmy Mullaert
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2025-12-01
Colección:	BMC Medical Research Methodology
Materias:	Cross-validation Machine learning Cox penalization Survival Internal validation ROC
Acceso en línea:	https://doi.org/10.1186/s12874-025-02709-9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!