<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=22465"><dc:title>A comparison of analytic models for the costs of the hospitalized diabetic patients</dc:title><dc:creator>Zigon,	Giulia	(Avtor)
	</dc:creator><dc:creator>Rosato,	Rosalba	(Avtor)
	</dc:creator><dc:creator>Bò,	Simona	(Avtor)
	</dc:creator><dc:creator>Gregori,	Dario	(Avtor)
	</dc:creator><dc:description>OBJECTIVE: To compare some survival models as applied to the estimation of thecosts of hospitalization as a function of several covariates in diabetic patients. The application of the Aalen regression model (Aalen, 1989) to medical costs is stressed. DESIGN: Retrospective observational study analyzinghospitalizations in a cohort of diabetic patients with a follow up of4.5 years. STUDY POPULATION: A total of 2550 patients have been included in the cohort, according to clinical-based enrollment standards. The patients with at least one hospitalization have been considered in this analysis. METHODS: Costs have been modelled using five different regression model: the ordinary least square regression model, the logistic regression model using the median and the third quartile of the costs distribution as cut-off points,the parametric survival model assuming Weibull distribution, the Cox proportional hazard model and the Aalen additive regression model. CONCLUSIONS: The Aalen additive regression model applied to the costs has the best performances in estimating the mean hospitalization costs for specific clinical profiles.</dc:description><dc:date>2005</dc:date><dc:date>2014-07-11 14:26:45</dc:date><dc:type>Delo ni kategorizirano</dc:type><dc:identifier>22465</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
