Exploring models for the length of stay distribution.


Autoria(s): Ruffieux C.; Marazzi A.; Paccaud F.
Data(s)

1993

Resumo

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.

Identificador

http://serval.unil.ch/?id=serval:BIB_68CEA4BE152D

isbn:0303-8408 (Print)

pmid:8322525

doi:10.1007/bf01318464

isiid:A1993LF66400006

Idioma(s)

en

Fonte

Sozial- Und Präventivmedizin, vol. 38, no. 2, pp. 77-82

Palavras-Chave #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
Tipo

info:eu-repo/semantics/article

article