Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions.

ABSTRACT: In time-to-event studies it is common the presence of a fraction of individuals not expecting to experience the event of interest; these individuals who are immune to the event or cured for the disease during the study are known as long-term survivors. In addition, in many studies it is observed two lifetimes associated to the same individual, and in some cases there exists a dependence structure between them. In these situations, the usual existing lifetime distributions are not appropriate to model data sets with long-term survivors and dependent bivariate lifetimes. In this study, it is proposed a bivariate model based on a Weibull standard distribution with a dependence structure based on fifteen different copula functions. We assumed the Weibull distribution due to its wide use in sur

SUBMITTER: de Oliveira Peres MV 

PROVIDER: S-EPMC7287256 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature