Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application

Background: Joint modeling of longitudinal and time‐to‐event data is often advantageous over separate longitudinal or time‐to‐event analyses as it can account for study dropout, error in longitudinally measured covariates, and correlation between longitudinal and time‐to‐event outcomes. The current...

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Detalles Bibliográficos
Autores principales: Sudell, Maria, Kolamunnage‐Dona, Ruwanthi, Gueyffier, François, Tudur Smith, Catrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492085/
https://www.ncbi.nlm.nih.gov/pubmed/30209815
http://dx.doi.org/10.1002/sim.7961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6492085/
https://www.ncbi.nlm.nih.gov/pubmed/30209815
http://dx.doi.org/10.1002/sim.7961

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