Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysis

Survival and second malignancy prediction models can aid clinical decision making. Most commonly, survival analysis studies are performed using traditional proportional hazards models, which require strong assumptions and can lead to biased estimates if violated. Therefore, this study aims to implem...

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Detalles Bibliográficos
Autores principales: Zhang, Ivy Y., Hart, Gregory R., Qin, Bo, Deng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894907/
https://www.ncbi.nlm.nih.gov/pubmed/36732358
http://dx.doi.org/10.1038/s41598-023-29167-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894907/
https://www.ncbi.nlm.nih.gov/pubmed/36732358
http://dx.doi.org/10.1038/s41598-023-29167-x

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