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Titolo:
Estimating the Bayesian loss function - A conjoint analysis approach
Autore:
Bala, MV; Mauskopf, J;
Indirizzi:
Centocor Inc, Outcomes Res, Malvern, PA 19355 USA Centocor Inc Malvern PAUSA 19355 nc, Outcomes Res, Malvern, PA 19355 USA Res Triangle Inst, RTI Hlth Solut, Res Triangle Pk, NC 27709 USA Res Triangle Inst Res Triangle Pk NC USA 27709 Triangle Pk, NC 27709 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE
fascicolo: 1, volume: 17, anno: 2001,
pagine: 27 - 37
SICI:
0266-4623(200124)17:1<27:ETBLF->2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
COST-EFFECTIVENESS ANALYSIS; STANDARD GAMBLE METHOD; EFFECTIVENESS RATIO; INFERENCE;
Keywords:
Bayesian analysis; loss function; conjoint analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Bala, MV Centocor Inc, Outcomes Res, 200 Great Valley Pkwy, Malvern, PA 19355 USA Centocor Inc 200 Great Valley Pkwy Malvern PA USA 19355 19355 USA
Citazione:
M.V. Bala e J. Mauskopf, "Estimating the Bayesian loss function - A conjoint analysis approach", INT J TE A, 17(1), 2001, pp. 27-37

Abstract

Current health economic literature does not provide clear guidelines on how uncertainty around cost-effectiveness estimates should be incorporated into economic decision models. Bayesian analysis is a promising alternative to classical statistics for incorporating uncertainty in economic analysis. Estimating a loss function that relates outcomes to societal welfare is a key component of Bayesian decision analysis. Health economists commonly compute the loss function based on the quality-adjusted life-years associated with each outcome. However, if welfare economics is adopted as the theoretical foundation of the analysis, a loss function based in cost-benefit analysis (CBA) may be more appropriate. CBA has not found wide use in health economics due to practical issues associated with estimating such a loss function, In this paper, we present a method based in conjoint analysis for estimating the CBA loss function that can be applied in practice. We illustrate the use of the methodology using data from a pilot study.

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Documento generato il 17/01/21 alle ore 18:25:38