Abstract

GONZALEZ PATINO, Elizabeth; TUNES, Gisela  and  MUNERA, Maria Isabel. Modeling Data With Semicompeting Risks: An ApModeling Data With Semicompeting Risks: An Aplication to Chronic Kidney Disease in Colombia. Rev.Colomb.Estad. [online]. 2019, vol.42, n.1, pp.35-59.  Epub May 23, 2019. ISSN 0120-1751.  https://doi.org/10.15446/rce.v42n1.68572.

In this paper, the structure of semicompeting risks data, defined by Fine, Jiang & Chappell (2001), is studied. Two events are of interest: a nonterminal and a terminal event, the last one, can censor the non-terminal event, but not vice versa. Due to the possible dependence between the times until the occurrence of such events, two approaches are evaluated: modelling the bivariate survival function through Archimedean copulas and a shared frailty model. A simulation is conducted to examine its performance and both approaches are applied to a real data set of patients with chronic kidney disease (CKD).

Keywords : Archimedean Copula; Frailty model; Semicompeting risks; Survival.

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