Nonparametric kernel estimation of cure models in survival analysis

• Ricardo Cao ^[1] ; M. Amalia Jacome ^[1] ; Ingrid Van Keilegom ^[2]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
  2. [2] KU Leuven

     KU Leuven

     Arrondissement Leuven, Bélgica

     
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 41, Nº. 3, 2025, págs. 9-22
• Idioma: inglés
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• Resumen

  • In lifetime data, there may be long-term survivors, which lead to heavy censoring at the end of the follow-up period. In this context, a standard survival model is not appropriate, and therefore a cure model is needed. In the literature, the covariate effect in mixture cure models was modeled using parametric or semiparametric approaches. Recently, completely nonparametric methods for the cure rate and the latency were proposed in mixture cure models. In this paper, we present this methodology and apply it to a colorectal cancer dataset.