Empirical copulas for consecutive survival data

• E. Strzalkowska-Kominiak ^[1] ; W. Stute ^[2]
  1. [1] Universidad Carlos III de Madrid

     Universidad Carlos III de Madrid

     Madrid, España

     
  2. [2] University of Giessen

     University of Giessen

     Distrito de Gießen, Alemania

     
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 22, Nº. 4, 2013, págs. 688-714
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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