Fractional Brownian motion and multivariate‐t models for longitudinal biomedical data, with application to CD4 counts in HIV‐positive patients

Longitudinal data are widely analysed using linear mixed models, with ‘random slopes’ models particularly common. However, when modelling, for example, longitudinal pre‐treatment CD4 cell counts in HIV‐positive patients, the incorporation of non‐stationary stochastic processes such as Brownian motio...

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Detalles Bibliográficos
Autores principales: Stirrup, Oliver T., Babiker, Abdel G., Carpenter, James R., Copas, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982109/
https://www.ncbi.nlm.nih.gov/pubmed/26555755
http://dx.doi.org/10.1002/sim.6788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982109/
https://www.ncbi.nlm.nih.gov/pubmed/26555755
http://dx.doi.org/10.1002/sim.6788

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