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A comparison of methods for estimating the temporal change in a continuous variable: Example of HbA1c in patients with diabetes
PURPOSE: To compare the more complex technique, functional principal component analysis (FPCA), to simpler methods of estimating values of sparse and irregularly spaced continuous variables at given time points in longitudinal data using a diabetic patient cohort from UK primary care. METHODS: The s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724699/ https://www.ncbi.nlm.nih.gov/pubmed/28812323 http://dx.doi.org/10.1002/pds.4273 |