Model-based optimization of subgroup weights for survival analysis

MOTIVATION: To obtain a reliable prediction model for a specific cancer subgroup or cohort is often difficult due to limited sample size and, in survival analysis, due to potentially high censoring rates. Sometimes similar data from other patient subgroups are available, e.g. from other clinical cen...

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Detalles Bibliográficos
Autores principales: Richter, Jakob, Madjar, Katrin, Rahnenführer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612842/
https://www.ncbi.nlm.nih.gov/pubmed/31510644
http://dx.doi.org/10.1093/bioinformatics/btz361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612842/
https://www.ncbi.nlm.nih.gov/pubmed/31510644
http://dx.doi.org/10.1093/bioinformatics/btz361

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