Comparison of Regression Methods for Modeling Intensive Care Length of Stay

Intensive care units (ICUs) are increasingly interested in assessing and improving their performance. ICU Length of Stay (LoS) could be seen as an indicator for efficiency of care. However, little consensus exists on which prognostic method should be used to adjust ICU LoS for case-mix factors. This...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one Jg. 9; H. 10; S. e109684
Hauptverfasser:	Verburg, Ilona W. M., de Keizer, Nicolette F., de Jonge, Evert, Peek, Niels
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 31.10.2014 Public Library of Science (PLoS)
Schlagworte:	Adult Aged APACHE Bias Confidentiality Correlation coefficient Correlation coefficients Diagnosis-Related Groups Female Gaussian distribution Generalized linear models Health informatics Hospitals Humans Intensive care Intensive care units Intensive Care Units - statistics & numerical data Least-Squares Analysis Length of Stay - statistics & numerical data Linear Models Male Medicine and Health Sciences Middle Aged Models, Statistical Mortality Netherlands Normal Distribution Patients Performance prediction Physical Sciences Physiology Poisson density functions Prognosis Quality Regression Analysis Regression models Research and Analysis Methods Research methodology Statistical analysis Statistical models Surgery Survivors Thoracic surgery Netherlands
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!