Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1

The Fine‐Gray subdistribution hazard model has become the default method to estimate the incidence of outcomes over time in the presence of competing risks. This model is attractive because it directly relates covariates to the cumulative incidence function (CIF) of the event of interest. An alterna...

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Detalles Bibliográficos
Autores principales: Austin, Peter C., Steyerberg, Ewout W., Putter, Hein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360146/
https://www.ncbi.nlm.nih.gov/pubmed/33969508
http://dx.doi.org/10.1002/sim.9023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360146/
https://www.ncbi.nlm.nih.gov/pubmed/33969508
http://dx.doi.org/10.1002/sim.9023

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