Average cost-effectiveness ratio with censored data. Academic Article

abstract

• In cost-effectiveness analysis, interest could lie foremost in the incremental cost-effectiveness ratio (ICER), which is the ratio of the incremental cost to the incremental benefit of two competing interventions. The average cost-effectiveness ratio (ACER) is the ratio of the cost to benefit of an intervention without reference to a comparator. A vast literature is available for statistical inference of the ICERs, but limited methods have been developed for the ACERs, particularly in the presence of censoring. Censoring is a common feature in prospective studies, and valid analyses should properly adjust for censoring in cost as well as in effectiveness. In this article, we propose statistical methods for constructing a confidence interval for the ACER from censored data. Different methods-Fieller, Taylor, bootstrap-are proposed, and through simulation studies and data analysis, we address the performance characteristics of these methods.

authors

• Zhao, Hongwei

published proceedings

• J Biopharm Stat

author list (cited authors)

• Bang, H., & Zhao, H.

citation count

• 23

complete list of authors

• Bang, Heejung||Zhao, Hongwei

publication date

• March 2012

publisher

• Taylor & Francis  Publisher

published in

• Journal of Biopharmaceutical Statistics  Journal

keywords

• Algorithms
• Computer Simulation
• Confidence Intervals
• Cost-benefit Analysis
• Humans
• Models, Statistical
• Prospective Studies

PubMed Central ID

• 22251182

Digital Object Identifier (DOI)

• 10.1080/10543406.2010.544437

start page

• 401

end page

• 415

volume

• 22

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1080%2F10543406.2010.544437

user-defined tag

• 3 Good Health and Well-Being