Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approach

Jaakko Riihimäki (), Reijo Sund () and Aki Vehtari ()

Health Care Management Science, 2010, vol. 13, issue 2, 170-181

Keywords: Length of stay; Hip fracture; Bayesian analysis; Multilayer perceptron; Weibull mixture; Covariate relevance (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10729-009-9121-z (text/html)
Access to full text is restricted to subscribers.

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:kap:hcarem:v:13:y:2010:i:2:p:170-181

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10729

DOI: 10.1007/s10729-009-9121-z

Access Statistics for this article

Health Care Management Science is currently edited by Yasar Ozcan

More articles in Health Care Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().