Rank-order Stability Analysis (ROSA)

Thomas R. Einarson, Steven R. Arikian and John J. Doyle

Medical Decision Making, 1995, vol. 15, issue 4, 367-372

Abstract: In a pharmacoeconomic analysis, the validity of findings is critical because product ranking may influence formulary decision making. The authors present an approach for examining uncertainty in a pharmacoeconomic analysis that parallels the confidence-interval approach to statistical analysis. This method, rank-order stability analysis (ROSA), is a clear and comprehensive method for validating results of a pharmacoeconomic analysis, as it identifies and evaluates all inputs and values. It is a break-even analysis that identifies the specific point of insensitivity for all parameters analyzed in the pharmacoeconomic model. ROSA is proposed as the preferred method for judging the validity of results derived from estimated parameters in pharmacoeconomic analyses. Key words: pharmacoeconomic analysis; sen sitivity analysis; robustness; cost-effectiveness analysis; rank-order stability analysis. (Med Decis Making 1995;15:367-372)

Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X9501500407 (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:medema:v:15:y:1995:i:4:p:367-372

DOI: 10.1177/0272989X9501500407

Access Statistics for this article

More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().