Probabilistic Cost-Effectiveness Analysis of HIV Prevention

Ana P. Johnson-Masotti, Purushottam W. Laud, Raymond G. Hoffmann, Matthew J. Hayat and Steven D. Pinkerton
Additional contact information
Ana P. Johnson-Masotti: Medical College of Wisconsin
Purushottam W. Laud: Medical College of Wisconsin
Raymond G. Hoffmann: Medical College of Wisconsin
Matthew J. Hayat: Medical College of Wisconsin
Steven D. Pinkerton: Medical College of Wisconsin

Evaluation Review, 2001, vol. 25, issue 4, 474-502

Abstract: In cost-effectiveness analysis, the incremental cost-effectiveness ratio is used to measure economic efficiency of a new intervention, relative to an existing one. However, costs and effects are seldom known with certainty. Uncertainty arises from two main sources: uncertainty regarding correct values of intervention-related parameters and uncertainty associated with sampling variation. Recently, attention has focused on Bayesian techniques for quantifying uncertainty. We computed the Bayesian-based 95% credible interval estimates of the incremental cost-effectiveness ratio of several related HIV prevention interventions and compared these results with univariate sensitivity analyses. The conclusions were comparable, even though the probabilistic technique provided additional information.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X0102500404 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:25:y:2001:i:4:p:474-502

DOI: 10.1177/0193841X0102500404

Access Statistics for this article

More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().