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Directed acyclic graphs and causal thinking in clinical risk prediction modeling
BACKGROUND: In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selection strategies for causal questions. Although tools originally designed for pred...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331263/ https://www.ncbi.nlm.nih.gov/pubmed/32615926 http://dx.doi.org/10.1186/s12874-020-01058-z |