Estimating incremental cost-effectiveness ratios and their confidence intervals with different terminating events for survival time and costs

Shuai Chen, Hongwei Zhao

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Cost-effectiveness analysis (CEA) is an important component of the economic evaluation of new treatment options. In many clinical and observational studies of costs, censored data pose challenges to the CEA. We consider a special situation where the terminating events for the survival time and costs are different. Traditional methods for statistical inference offer no means for dealing with censored data in these circumstances. To address this gap, we propose a new method for deriving the confidence interval for the incremental cost-effectiveness ratio. The simulation studies and real data example show that our method performs very well for some practical settings, revealing a great potential for application to actual settings in which terminating events for the survival time and costs differ.

Original languageEnglish (US)
Pages (from-to)422-432
Number of pages11
JournalBiostatistics
Volume14
Issue number3
DOIs
StatePublished - Jul 1 2013
Externally publishedYes

Keywords

  • Censored data
  • Cost-effectiveness analysis
  • Different terminating events
  • Fieller method
  • Survival analysis

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Statistics, Probability and Uncertainty

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