Application of multivariate joint modeling of longitudinal biomarkers and time-to-event data to a rare kidney stone cohort

BACKGROUND: Time-dependent Cox proportional hazards regression is a popular statistical method used in kidney disease research to evaluate associations between biomarkers collected serially over time with progression to kidney failure. Typically, biomarkers of interest are considered time-dependent...

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Detalles Bibliográficos
Autores principales: Vaughan, Lisa E., Lieske, John C., Milliner, Dawn S., Schulte, Phillip J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879888/
https://www.ncbi.nlm.nih.gov/pubmed/36755528
http://dx.doi.org/10.1017/cts.2022.465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879888/
https://www.ncbi.nlm.nih.gov/pubmed/36755528
http://dx.doi.org/10.1017/cts.2022.465

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