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Titolo:
Bayesian cost-effectiveness analysis - An example using the GUSTO trial
Autore:
Fryback, DG; Chinnis, JO; Ulvila, JW;
Indirizzi:
Univ Wisconsin, Dept Prevent Med, Madison, WI 53705 USA Univ Wisconsin Madison WI USA 53705 pt Prevent Med, Madison, WI 53705 USA Decis Sci Associates Inc, A-22180 Vienna, Austria Decis Sci Associates Inc Vienna Austria A-22180 A-22180 Vienna, Austria
Titolo Testata:
INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE
fascicolo: 1, volume: 17, anno: 2001,
pagine: 83 - 97
SICI:
0266-4623(200124)17:1<83:BCA-AE>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
ACUTE MYOCARDIAL-INFARCTION; HEALTH-CARE TECHNOLOGIES; UNCERTAINTY;
Keywords:
Bayes theorem; cost-effectiveness analysis; sensitivity analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
22
Recensione:
Indirizzi per estratti:
Indirizzo: Fryback, DG Univ Wisconsin, Dept Prevent Med, 610 N Walnut St,Rm 785, Madison, WI 53705 USA Univ Wisconsin 610 N Walnut St,Rm 785 Madison WI USA 53705 USA
Citazione:
D.G. Fryback et al., "Bayesian cost-effectiveness analysis - An example using the GUSTO trial", INT J TE A, 17(1), 2001, pp. 83-97

Abstract

A desirable element of cost-effectiveness analysis (CEA) modeling is a systematic way to relate uncertainty about input parameters to uncertainty in the computational results of the CEA model. Use of Bayesian statistical estimation and Monte Carlo simulation provides a natural way to compute a posterior probability distribution for each CEA result. We demonstrate this approach by reanalyzing a previously published CEA evaluating the incremental cost-effectiveness of tissue plasminogen activator compared to streptokinase for thrombolysis in acute myocardial infarction patients using data from the GUSTO trial and other auxiliary data sources. We illustrate Bayesian estimation for proportions, mean costs, and mean quality-oi-life weights. Thecomputations are performed using the Bayesian analysis software WinBUGS, distributed by the MRC Biostatistics Unit, Cambridge, England.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 15/01/21 alle ore 22:00:55