Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results

BACKGROUND: There is little consensus on how to sample hospitalizations and analyze multiple variables to model readmission risk. The purpose of this study was to compare readmission rates and the accuracy of predictive models based on different sampling and multivariable modeling approaches. METHOD...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Huaqing, Tanner, Samuel, Golden, Sherita H., Fisher, Susan G., Rubin, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687737/
https://www.ncbi.nlm.nih.gov/pubmed/33238884
http://dx.doi.org/10.1186/s12874-020-01162-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687737/
https://www.ncbi.nlm.nih.gov/pubmed/33238884
http://dx.doi.org/10.1186/s12874-020-01162-0

Ejemplares similares