Regularized Weighted Nonparametric Likelihood Approach for High-Dimension Sparse Subdistribution Hazards Model for Competing Risk Data

Variable selection and penalized regression models in high-dimension settings have become an increasingly important topic in many disciplines. For instance, omics data are generated in biomedical researches that may be associated with survival of patients and suggest insights into disease dynamics t...

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Detalles Bibliográficos
Autores principales: Tapak, Leili, Kosorok, Michael R., Sadeghifar, Majid, Hamidi, Omid, Afshar, Saeid, Doosti, Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476266/
https://www.ncbi.nlm.nih.gov/pubmed/34589136
http://dx.doi.org/10.1155/2021/5169052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476266/
https://www.ncbi.nlm.nih.gov/pubmed/34589136
http://dx.doi.org/10.1155/2021/5169052

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