Copula model generated by Dabrowska's association measure

David Oakes, Antai Wang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


We propose a new archimedean copula model for bivariate survival data that is motivated by Dabrowska's (1988) measure of association. The model can represent negatively correlated or moderately positively correlated data but not highly positively correlated data. Local and global measures of association are calculated. A generalisation is presented.

Original languageEnglish (US)
Pages (from-to)478-481
Number of pages4
Issue number2
StatePublished - Jun 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Agricultural and Biological Sciences (miscellaneous)
  • General Agricultural and Biological Sciences
  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • General Mathematics


  • Bivariate Kaplan-Meier estimator
  • Cross-ratio function
  • Frailty


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