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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...

詳細記述

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書誌詳細
出版年:BMC Med Res Methodol
主要な著者: Parast, Layla, Mathews, Megan, Friedberg, Mark W.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2019
主題:
オンライン・アクセス: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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