Fixed Effects Modelling for Provider Mortality Outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-Base

BACKGROUND: Risk adjusted mortality for intensive care units (ICU) is usually estimated via logistic regression. Random effects (RE) or hierarchical models have been advocated to estimate provider risk-adjusted mortality on the basis that standard estimators increase false outlier classification. Th...

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Detalles Bibliográficos
Autores principales: Moran, John L., Solomon, Patricia J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100889/
https://www.ncbi.nlm.nih.gov/pubmed/25029164
http://dx.doi.org/10.1371/journal.pone.0102297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100889/
https://www.ncbi.nlm.nih.gov/pubmed/25029164
http://dx.doi.org/10.1371/journal.pone.0102297

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