In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populations with a cure rate. We consider a cure rate model based on the negative binomial distribution, encompassing as a special ...

Multi-state models can be viewed as generalizations of both the standard and competing risks models for survivaldata. Models for multi-state data have been the theme of many recent published works. Motivated by bone marrow ...

In this paper, we propose a general class of Gamma frailty transformation models for multivariate survival data. The transformation class includes the commonly used proportional hazards and proportional odds models. The ...

The letter concerns piecewise deterministic processes controlled by a Markov flow with exponentially, Exp (?n), distributed interarrival times T n. Assuming all rates ?n to be different, we study the distribution of a ...

In this paper, we study persistent piecewise linear multidimensional random motions. Their velocities, switching at Poisson times, are uniformly distributed on a sphere. The changes of direction are accompanied with ...

A unified method of approximation, extrapolation, and objective layering is offered for processing vertical oceanographic profiles. The method is demonstrated using seawater density and consists of adjustable splitting of ...

One of the greatest difficulty related to the use of the piecewise exponential model is to find the grid of time-points needed in its definition. In general, the number of intervals in such grid and the position of their ...

To use the most of the methods presented in the literature to analyze survival data, it is necessary to make the assumption that the mechanism generating the censoring is noninformative, that is, assume that the distribution ...

The Piecewise Exponential Model (PEM) is a very utilized model, mainly in survival analysis. When using this model, one considers a partition of the time axis into a finite number of intervals and, after that, a constant ...