Rank-order Stability Analysis (ROSA): Testing Pharmacoeconomic Data
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...
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| Veröffentlicht in: | Medical decision making 1995-10, Vol.15 (4), p.367-372 |
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| container_title | Medical decision making |
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| creator | Einarson, Thomas R. Arikian, Steven R. Doyle, John J. |
| description | 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) |
| doi_str_mv | 10.1177/0272989X9501500407 |
| format | Article |
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| ispartof | Medical decision making, 1995-10, Vol.15 (4), p.367-372 |
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| language | eng |
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| source | Access via SAGE; MEDLINE |
| subjects | Confidence Intervals Cost-Benefit Analysis Data Interpretation, Statistical Drug Costs Economics, Pharmaceutical Health Care Costs Humans Models, Economic Reproducibility of Results Sensitivity and Specificity Statistics, Nonparametric Time Factors Treatment Outcome |
| title | Rank-order Stability Analysis (ROSA): Testing Pharmacoeconomic Data |
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