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...

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Detalles Bibliográficos
Autores principales: Parast, Layla, Mathews, Megan, Friedberg, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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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