dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system

OBJECTIVE: Survival models are used extensively in biomedical sciences, where they allow the investigation of the effect of exposures on health outcomes. It is desirable to use diverse data sets in survival analyses, because this offers increased statistical power and generalisability of results. Ho...

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Detalles Bibliográficos
Autores principales: Banerjee, Soumya, Bishop, Tom R. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243006/
https://www.ncbi.nlm.nih.gov/pubmed/37280717
http://dx.doi.org/10.1186/s13104-023-06372-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243006/
https://www.ncbi.nlm.nih.gov/pubmed/37280717
http://dx.doi.org/10.1186/s13104-023-06372-5

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