The application of a gold standard reference test in all or part of the sample under investigation is often not feasible for the majority of diseases affecting humans, either by a lack of consensus on which testing may be ...

We know that statistic modeling by regression had a stronger impulse since generalized linear models (GLMs) development in 70 decade beginning of the XX century, proposed by Nelder e Wedderburn (1972). GLMs theory can be ...

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 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 ...