Average cost-effectiveness ratio with censored data

Heejung Bang, Hongwei Zhao

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


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 methodsFieller, Taylor, bootstrapare proposed, and through simulation studies and data analysis, we address the performance characteristics of these methods.

Original languageEnglish (US)
Pages (from-to)401-415
Number of pages15
JournalJournal of Biopharmaceutical Statistics
Issue number2
StatePublished - Mar 1 2012


  • Bootstrap
  • Confidence interval
  • Fieller
  • Taylor

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology
  • Statistics and Probability


Dive into the research topics of 'Average cost-effectiveness ratio with censored data'. Together they form a unique fingerprint.

Cite this