Modeling Long-Term Graft Survival With Time-Varying Covariate Effects: An Application to a Single Kidney Transplant Centre in Johannesburg, South Africa

Objectives: Patients' characteristics that could influence graft survival may also exhibit non-constant effects over time; therefore, violating the important assumption of the Cox proportional hazard (PH) model. We describe the effects of covariates on the hazard of graft failure in the presenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Achilonu, Okechinyere J., Fabian, June, Musenge, Eustasius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669915/
https://www.ncbi.nlm.nih.gov/pubmed/31403039
http://dx.doi.org/10.3389/fpubh.2019.00201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669915/
https://www.ncbi.nlm.nih.gov/pubmed/31403039
http://dx.doi.org/10.3389/fpubh.2019.00201

Ejemplares similares