Joint modelling of longitudinal and time-to-event data: an illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy

BACKGROUND: Modelling of longitudinal biomarkers and time-to-event data are important to monitor disease progression. However, these two variables are traditionally analyzed separately or time-varying Cox models are used. The former strategy fails to recognize the shared random-effects from the two...

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Detalles Bibliográficos
Autores principales: Mchunu, Nobuhle N., Mwambi, Henry G., Reddy, Tarylee, Yende-Zuma, Nonhlanhla, Naidoo, Kogieleum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106785/
https://www.ncbi.nlm.nih.gov/pubmed/32228483
http://dx.doi.org/10.1186/s12879-020-04962-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106785/
https://www.ncbi.nlm.nih.gov/pubmed/32228483
http://dx.doi.org/10.1186/s12879-020-04962-3

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