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

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

Povzetek

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.

Ključne besede

Statistične metode;

Podatki

Jezik:	Angleški jezik
Leto izida:	2005
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FDV - Fakulteta za družbene vede
Založnik:	Fakulteta za družbene vede
UDK:	311
COBISS:	24325213
ISSN:	1854-0023
Št. ogledov:	624
Št. prenosov:	159
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Neznan jezik
Sekundarne ključne besede:	Statistical methods;
URN:	URN:NBN:SI
Vrsta dela (COBISS):	Delo ni kategorizirano
Strani:	str. 135-145
Letnik:	ǂVol. ǂ2
Zvezek:	ǂno. ǂ1
Čas izdaje:	2005
Ključne besede (UDK):	social sciences;družbene vede;statistics as a science;statistical theory;statistika;statistična teorija;
ID:	1467985