Exploring models for the length of stay distribution.

Details

Serval ID
serval:BIB_68CEA4BE152D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Exploring models for the length of stay distribution.
Journal
Sozial- Und Präventivmedizin
Author(s)
Ruffieux C., Marazzi A., Paccaud F.
ISSN
0303-8408 (Print)
ISSN-L
0303-8408
Publication state
Published
Issued date
1993
Peer-reviewed
Oui
Volume
38
Number
2
Pages
77-82
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Diagnosis Related Groups (DRG) are frequently used to standardize the comparison of consumption variables, such as length of stay (LOS). In order to be reliable, this comparison must control for the presence of outliers, i.e. values far removed from the pattern set by the majority of the data. Indeed, outliers can distort the usual statistical summaries, such as means and variances. A common practice is to trim LOS values according to various empirical rules, but there is little theoretical support for choosing between alternative procedures. This pilot study explores the possibility of describing LOS distributions with parametric models which provide the necessary framework for the use of robust methods.
Keywords
Adolescent, Adult, Aged, Child, Child, Preschool, Diagnosis-Related Groups, Humans, Infant, Infant, Newborn, Length of Stay, Logistic Models, Middle Aged, Models, Statistical, Pilot Projects, Switzerland
Pubmed
Web of science
Create date
11/08/2011 10:30
Last modification date
20/08/2019 14:23
Usage data