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An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design
BACKGROUND: Researchers developing prediction models are faced with numerous design choices that may impact model performance. One key decision is how to include patients who are lost to follow-up. In this paper we perform a large-scale empirical evaluation investigating the impact of this decision....
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| Pubblicato in: | BMC Med Inform Decis Mak |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7866757/ https://ncbi.nlm.nih.gov/pubmed/33549087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01408-x |
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