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...

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Bibliographic Details
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)
Format: Article
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
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