Stochastic models of geriatric patient bed occupancy behaviour
G. J. Taylor,
S. I. McClean and
P. H. Millard
Journal of the Royal Statistical Society Series A, 2000, vol. 163, issue 1, 39-48
Abstract:
This paper considers a census approach to the modelling of the time that geriatric patients spend in hospital and subsequently in the community by using a stochastic compartmental Markov model. A selection process is developed using maximum likelihood estimation to fit the model to daily census data on the duration spent in the hospital or the community. Census data are used as they are easy to collect and therefore maximize the usability of the model. The model is fitted to an extensive 16‐year data‐set and shown to provide realistic estimates of movements of patients by using only a single day's census result.
Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
https://doi.org/10.1111/1467-985X.00155
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:163:y:2000:i:1:p:39-48
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X
Access Statistics for this article
Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples
More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().