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Dynamic risk prediction for diabetes using biomarker change measurements
BACKGROUND: Dynamic risk models, which incorporate disease-free survival and repeated measurements over time, might yield more accurate predictions of future health status compared to static models. The objective of this study was to develop and apply a dynamic prediction model to estimate the risk...
Autores principales: | Parast, Layla, Mathews, Megan, Friedberg, Mark W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694545/ https://www.ncbi.nlm.nih.gov/pubmed/31412790 http://dx.doi.org/10.1186/s12874-019-0812-y |
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