Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data

Semiparametric joint models of longitudinal and competing risk data are computationally costly, and their current implementations do not scale well to massive biobank data. This paper identifies and addresses some key computational barriers in a semiparametric joint model for longitudinal and compet...

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Detalles Bibliográficos
Autores principales: Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846996/
https://www.ncbi.nlm.nih.gov/pubmed/35178111
http://dx.doi.org/10.1155/2022/1362913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846996/
https://www.ncbi.nlm.nih.gov/pubmed/35178111
http://dx.doi.org/10.1155/2022/1362913

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