Estimating the mean of a mark variable under right censoring on the basis of a state function

Hong Bin Fang*, Jiantian Wang, Dianliang Deng, Man Lai TANG

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)


A mark variable is a generalization of measurements such as lifetime medical costs and quality-adjusted lifetimes. Recently, analysis of the mark variable has generated significant interest as an important component in health treatment evaluation. In this paper, a novel approach to estimating the mean of the mark variable under right censoring is proposed. The proposed estimator is of a much simpler form than most existing estimators advocated in the literature. Theoretical analysis and simulation studies indicate that the proposed estimator has practical applications due to its simplicity and accuracy. A real data set, from a Multicenter Automatic Defibrillator Implantation Trial (MADIT), is used to illustrate the proposed methodology.

Original languageEnglish
Pages (from-to)1726-1735
Number of pages10
JournalComputational Statistics and Data Analysis
Issue number4
Publication statusPublished - 1 Apr 2011

Scopus Subject Areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

User-Defined Keywords

  • KaplanMeier estimator
  • Lifetime medical cost
  • Mark variable
  • Martingale
  • Quality-adjusted lifetime
  • Survival analysis


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