Empirical copulas for consecutive survival data Articles uri icon

published in

publication date

  • November 2013

start page

  • 688

end page

  • 714


  • 4


  • 22

International Standard Serial Number (ISSN)

  • 1133-0686

Electronic International Standard Serial Number (EISSN)

  • 1863-8260


  • In the analysis of medical data the whole lifetime is often split into pieces characterizing the various stages in the development of a chronical disease. In this paper we provide a nonparametric copula function estimator for two consecutive survival data which are subject to truncation and right censorship. We also discuss an extension of Spearman's Rho and Kendall's Tau to the present situation.


  • consecutive survival data; nonparametric copulas; tests for independence