The versatility of multi-state models for the analysis of longitudinal data with unobservable features

Multi-state models provide a convenient statistical framework for a wide variety of medical applications characterized by multiple events and longitudinal data. We illustrate this through four examples. The potential value of the incorporation of unobserved or partially observed states is highlighte...

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Detalles Bibliográficos
Autores principales: Farewell, Vernon T., Tom, Brian D. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3884139/
https://www.ncbi.nlm.nih.gov/pubmed/23225140
http://dx.doi.org/10.1007/s10985-012-9236-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3884139/
https://www.ncbi.nlm.nih.gov/pubmed/23225140
http://dx.doi.org/10.1007/s10985-012-9236-2

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