Making predictions from complex longitudinal data, with application to planning monitoring intervals in a national screening programme

When biological or physiological variables change over time, we are often interested in making predictions either of future measurements or of the time taken to reach some threshold value. On the basis of longitudinal data for multiple individuals, we develop Bayesian hierarchical models for making...

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Detalles Bibliográficos
Autores principales: Sweeting, M J, Thompson, S G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412214/
https://www.ncbi.nlm.nih.gov/pubmed/22879705
http://dx.doi.org/10.1111/j.1467-985X.2011.01005.x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412214/
https://www.ncbi.nlm.nih.gov/pubmed/22879705
http://dx.doi.org/10.1111/j.1467-985X.2011.01005.x

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