Fixed effects modelling for provider mortality outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-base.
<h4>Background</h4>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...
Main Authors: | John L Moran, Patricia J Solomon, ANZICS Centre for Outcome and Resource Evaluation (CORE) of Australian and New Zealand Intensive Care Society (ANZICS) |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25029164/pdf/?tool=EBI |
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