Using net benefit regression to teach cost-effectiveness analysis with a dataset

Jeffrey Hoch and Carolyn S. Dewa

Chapter 6 in Handbook on Teaching Health Economics, 2021, pp 77-87 from Edward Elgar Publishing

Abstract: This chapter describes how to analyze a cost-effectiveness dataset using Excel. We focus on students in health economics (HE) programs or health professionals without strong backgrounds in statistics. The chapter guides students to calculate two different cost-effectiveness statistics: the Incremental Cost-Effectiveness Ratio (ICER) and the Incremental Net Benefit (INB) using regression estimates. In addition to producing estimates, students learn how to characterize statistical uncertainty. This is facilitated by learning about the INB both as a difference in means as well as a net benefit regression estimate. The chapter concludes with an INB by willingness to pay plot that shows both estimates and their respective 95% confidence intervals. The chapter’s exercises can be modified by incorporating statistical languages or using more challenging datasets.

Keywords: Economics and Finance; Teaching Methods (search for similar items in EconPapers)
Date: 2021
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