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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Blackwell Publishing Ltd
2012
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| 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 |