Abstract
Cost-effectiveness analysis (CEA) is a method for evaluating the outcomes and costs of competing strategies designed to improve health, and has been applied to a variety of different scientific fields. Yet there are inherent complexities in cost estimation and CEA from statistical perspectives (e.g., skewness, bidimensionality, and censoring). The incremental cost-effectiveness ratio that represents the additional cost per unit of outcome gained by a new strategy has served as the most widely accepted methodology in the CEA. In this article, we call for expanded perspectives and reporting standards reflecting a more comprehensive analysis that can elucidate different aspects of available data. Specifically, we propose that mean-and median-based incremental cost-effectiveness ratios and average cost-effectiveness ratios be reported together, along with relevant summary and inferential statistics, as complementary measures for informed decision making.
Original language | English (US) |
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Pages (from-to) | 443-460 |
Number of pages | 18 |
Journal | Journal of Biopharmaceutical Statistics |
Volume | 24 |
Issue number | 2 |
DOIs | |
State | Published - Mar 4 2014 |
Keywords
- Average cost-effectiveness ratio (ACER)
- Censoring
- Cost-effectiveness plane
- Incremental cost-effectiveness ratio (ICER)
- Mean
- Median
ASJC Scopus subject areas
- Pharmacology (medical)
- Pharmacology
- Statistics and Probability
- Medicine(all)