Abstract
Background: Economic evaluations commonly accompany trials of new treatments or interventions; however, regression methods and their corresponding advantages for the analysis of cost-effectiveness data are not widely appreciated. Methods: To illustrate regression-based economic evaluation, we review a cost-effectiveness analysis conducted by the Canadian Cancer Trials Group's Committee on Economic Analysis and implement net benefit regression. Results: Net benefit regression offers a simple option for cost-effectiveness analyses of person-level data. By placing economic evaluation in a regression framework, regression-based techniques can facilitate the analysis and provide simple solutions to commonly encountered challenges (e.g., the need to adjust for potential confounders, identify key patient subgroups, and/or summarize "challenging" findings, like when a more effective regimen has the potential to be cost-saving). Conclusions: Economic evaluations of patient-level data (e.g., from a clinical trial) can use net benefit regression to facilitate analysis and enhance results.
Original language | English (US) |
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Article number | 552 |
Journal | BMC Cancer |
Volume | 19 |
Issue number | 1 |
DOIs | |
State | Published - Jun 7 2019 |
Keywords
- Cost-effectiveness
- Economic evaluation
- Net benefit regression
ASJC Scopus subject areas
- Oncology
- Genetics
- Cancer Research