stpm: an R package for stochastic process model

BACKGROUND: The Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitudinal studies, i.e., SPM relates the stochastic dynamics of variables (e.g., physiological or biological measu...

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Detalles Bibliográficos
Autores principales: Zhbannikov, Ilya Y., Arbeev, Konstantin, Akushevich, Igor, Stallard, Eric, Yashin, Anatoliy I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324240/
https://www.ncbi.nlm.nih.gov/pubmed/28231764
http://dx.doi.org/10.1186/s12859-017-1538-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324240/
https://www.ncbi.nlm.nih.gov/pubmed/28231764
http://dx.doi.org/10.1186/s12859-017-1538-7

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