A review of the use of time‐varying covariates in the Fine‐Gray subdistribution hazard competing risk regression model

In survival analysis, time‐varying covariates are covariates whose value can change during follow‐up. Outcomes in medical research are frequently subject to competing risks (events precluding the occurrence of the primary outcome). We review the types of time‐varying covariates and highlight the eff...

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Detalles Bibliográficos
Autores principales: Austin, Peter C., Latouche, Aurélien, Fine, Jason P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916372/
https://www.ncbi.nlm.nih.gov/pubmed/31660633
http://dx.doi.org/10.1002/sim.8399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916372/
https://www.ncbi.nlm.nih.gov/pubmed/31660633
http://dx.doi.org/10.1002/sim.8399

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