PMID- 8322525
OWN - NLM
STAT- MEDLINE
DCOM- 19930805
LR  - 20190909
IS  - 0303-8408 (Print)
IS  - 0303-8408 (Linking)
VI  - 38
IP  - 2
DP  - 1993
TI  - Exploring models for the length of stay distribution.
PG  - 77-82
AB  - 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.
FAU - Ruffieux, C
AU  - Ruffieux C
AD  - Institut universitaire de medecine sociale et preventive, Lausanne.
FAU - Marazzi, A
AU  - Marazzi A
FAU - Paccaud, F
AU  - Paccaud F
LA  - eng
PT  - Journal Article
PL  - Switzerland
TA  - Soz Praventivmed
JT  - Sozial- und Praventivmedizin
JID - 7502479
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Child
MH  - Child, Preschool
MH  - *Diagnosis-Related Groups
MH  - Humans
MH  - Infant
MH  - Infant, Newborn
MH  - *Length of Stay
MH  - Logistic Models
MH  - Middle Aged
MH  - *Models, Statistical
MH  - Pilot Projects
MH  - Switzerland
EDAT- 1993/01/01 00:00
MHDA- 1993/01/01 00:01
CRDT- 1993/01/01 00:00
PHST- 1993/01/01 00:00 [pubmed]
PHST- 1993/01/01 00:01 [medline]
PHST- 1993/01/01 00:00 [entrez]
AID - 10.1007/BF01318464 [doi]
PST - ppublish
SO  - Soz Praventivmed. 1993;38(2):77-82. doi: 10.1007/BF01318464.