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...

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Detalles Bibliográficos
Autores principales: Piccininni, Marco, Konigorski, Stefan, Rohmann, Jessica L., Kurth, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Technical Advance
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

Internet

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

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