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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...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2019
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| Aiheet: | |
| Linkit: | 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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