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 …

In recent years, the use of copulas has grown rapidly, especially in survivalanalysis. In this
paper, we introduce a bivariate modied Weibull distribu-tion derived from the Farlie {Gumbel …

Some computational aspects to obtain classical and Bayesian inferences for the Basu and
Dhar (1995) bivariate geometric distribution in presence of censored data and covariates …

Bivariate lifetime distributions are of great importance in studies related to interdependent
components, especially in engineering applications. In this paper, we introduce two bivariate …

In medical studies, it is common the presence of a fraction of patients who do not experience
the event of interest. These patients are people who are not at risk of the event or are …

Bivariate survival data are found in several studies, in particular, studies where there are two
observed lifetimes associated with the same individual, and in some cases, there exists a …

The Nadarajah-Haghighi distribution is an important lifetime distribution in survival analysis
that serves as an alternative to the Weibull, gamma and exponentiated exponential …

The work proposes a new family of survival models called the Odd log-logistic generalized
Neyman type A long-term. We consider different activation schemes in which the number of …

Diarrhea is the most common cause of mortality and morbidity in dairy calves during the first
weeks of life. It is responsible for the majority of costs related to animal death and treatments …

In the statistical analysis of bivariate data, it is possible to have discrete observations instead
of continuous data, as observed in many studies with survival data. In this study it is …