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Varying-coefficient models for longitudinal processes with continuous-time informative dropout

Dropout is a common occurrence in longitudinal studies. Building upon the pattern-mixture modeling approach within the Bayesian paradigm, we propose a general framework of varying-coefficient models for longitudinal data with informative dropout, where measurement times can be irregular and dropout...

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Detalles Bibliográficos
Autores principales: Su, Li, Hogan, Joseph W.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800163/
https://www.ncbi.nlm.nih.gov/pubmed/19837655
http://dx.doi.org/10.1093/biostatistics/kxp040