In survival data analysis it is common the occurrence of a large number of individuals to the right. This fact can indicate that, in a fraction of the individuals the event of interest will never happen, in other words, a ...

In this thesis it is proposed to analyze recurrent event data, recurrent event data with cure fraction and recurrent event data with censoring and competing causes. For the recurrent event data analysis it is proposed a ...

In this work, we introduce a Bayesian Analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different frailties or latent variables are considered to capture the correlation ...

In this study, we used the capture-recapture procedure to estimate the size of a closed population. We analysed three di_erent statistics models. For each one of these models we determined - through several methods of ...

In this work we consider the long-term survival model introduced by Berkson & Gage (1952), for modeling survival data of nonhomogeneous populations, where a subpopulation does not present the event of interest, despite a ...

In this work, we brie_y introduce the concepts of long-term survival analysis. We dedicated ourselves exclusively to the standard mixture cure model from Boag (1949) and Berkson & Gage (1952), showing its deduction and ...

Two problems related to Partial Least Squares method are considered in this work. Heteroscedastic errors and an asymmetrical error distribution. In the _rst part of this work a methodology is developed which allows, based ...

In this work a new class of models for binary data based on Weibull distribution is introduced. A review is made of the most known linkage functions. This class of models has as special case the complementary log-log model ...

In this dissertation we describe and implement procedures for nonparametric estimation of copulas and Sibuya function, and also procedures for bivariate analysis of dependence based on the behavior of their contours plot. ...