ǂA ǂcomparison of analytic models for the costs of the hospitalized diabetic patients

Giulia Zigon (Author), Rosalba Rosato (Author), Simona Bò (Author), Dario Gregori (Author)

Abstract

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.

Keywords

Statistične metode;

Data

Language:	English
Year of publishing:	2005
Typology:	1.01 - Original Scientific Article
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	Fakulteta za družbene vede
UDC:	311
COBISS:	24325213
ISSN:	1854-0023
Views:	624
Downloads:	159
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Unknown
Secondary keywords:	Statistical methods;
URN:	URN:NBN:SI
Type (COBISS):	Not categorized
Pages:	str. 135-145
Volume:	ǂVol. ǂ2
Issue:	ǂno. ǂ1
Chronology:	2005
Keywords (UDC):	social sciences;družbene vede;statistics as a science;statistical theory;statistika;statistična teorija;
ID:	1467985