MODELO DE RIESGO CON UN PUNTO DE CAMBIO Y COVARIABLES DEPENDIENTES DEL TIEMPO

Abstract

In survival analysis the hazard function is the dominant element for the study of lifetimes. In certain applications, changes are observed in the hazard function because some external factors such as, treatments, operations special, disease status, etc. For this reason, in survival analysis is of interest to show the existence and give location where such change occurs. In this paper, considering the particular case in which the data set are censorship and time-dependent covariates, we present the extension of a hazard model with a single change point, estimators for model parameters are proposed and to estimate the single change point, statistics score maximal are used.