Bayesian joint modelling of longitudinal and time to event data: a methodological review

BACKGROUND: In clinical research, there is an increasing interest in joint modelling of longitudinal and time-to-event data, since it reduces bias in parameter estimation and increases the efficiency of statistical inference. Inference and prediction from frequentist approaches of joint models have...

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Detalles Bibliográficos
Autores principales: Alsefri, Maha, Sudell, Maria, García-Fiñana, Marta, Kolamunnage-Dona, Ruwanthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183597/
https://www.ncbi.nlm.nih.gov/pubmed/32336264
http://dx.doi.org/10.1186/s12874-020-00976-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183597/
https://www.ncbi.nlm.nih.gov/pubmed/32336264
http://dx.doi.org/10.1186/s12874-020-00976-2

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