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A comparison of analytic models for the costs of the hospitalized diabetic patients
ID Zigon, Giulia (Author), ID Rosato, Rosalba (Author), ID Bò, Simona (Author), ID Gregori, Dario (Author)

URLURL - Presentation file, Visit http://mrvar.fdv.uni-lj.si/pub/mz/mz2.1/zigon.pdf This link opens in a new window

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.

Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:FDV - Faculty of Social Sciences
Year:2005
Number of pages:Str. 135-145
Numbering:Vol. 2, no. 1
PID:20.500.12556/RUL-22465 This link opens in a new window
UDC:311
ISSN on article:1854-0023
COBISS.SI-ID:24325213 This link opens in a new window
Publication date in RUL:11.07.2014
Views:958
Downloads:185
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Record is a part of a journal

Title:Metodološki zvezki
Shortened title:Metodol. zv.
Publisher:Fakulteta za družbene vede
ISSN:1854-0023
COBISS.SI-ID:215795712 This link opens in a new window

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