Cargando…
Hospital-level associations with 30-day patient mortality after cardiac surgery: a tutorial on the application and interpretation of marginal and multilevel logistic regression
BACKGROUND: Marginal and multilevel logistic regression methods can estimate associations between hospital-level factors and patient-level 30-day mortality outcomes after cardiac surgery. However, it is not widely understood how the interpretation of hospital-level effects differs between these meth...
Autores principales: | Sanagou, Masoumeh, Wolfe, Rory, Forbes, Andrew, Reid, Christopher Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366874/ https://www.ncbi.nlm.nih.gov/pubmed/22409732 http://dx.doi.org/10.1186/1471-2288-12-28 |
Ejemplares similares
-
Observed to expected or logistic regression to identify hospitals with high or low 30-day mortality?
por: Kristoffersen, Doris Tove, et al.
Publicado: (2018) -
Intermediate and advanced topics in multilevel logistic regression analysis
por: Austin, Peter C., et al.
Publicado: (2017) -
Sample size issues in multilevel logistic regression models
por: Ali, Amjad, et al.
Publicado: (2019) -
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
por: Allam, Ahmed, et al.
Publicado: (2019) -
Comparison of Artificial Neural Networks and Logistic Regression for 30-days Survival Prediction of Cancer Patients
por: Arkin, Funda Secik, et al.
Publicado: (2020)