Discrete mixture modeling to address genetic heterogeneity in time-to-event regression

Motivation: Time-to-event regression models are a critical tool for associating survival time outcomes with molecular data. Despite mounting evidence that genetic subgroups of the same clinical disease exist, little attention has been given to exploring how this heterogeneity affects time-to-event m...

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Detalles Bibliográficos
Autores principales: Eng, Kevin H., Hanlon, Bret M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058947/
https://www.ncbi.nlm.nih.gov/pubmed/24532723
http://dx.doi.org/10.1093/bioinformatics/btu065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058947/
https://www.ncbi.nlm.nih.gov/pubmed/24532723
http://dx.doi.org/10.1093/bioinformatics/btu065

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