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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...

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Dades bibliogràfiques
Publicat a:BMC Med Res Methodol
Autors principals: Parast, Layla, Mathews, Megan, Friedberg, Mark W.
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6694545/
https://ncbi.nlm.nih.gov/pubmed/31412790
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-019-0812-y
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