Artículos de revistas
A New lifetime model for multivariate survival data with a surviving fraction
Fecha
2016-01-22Registro en:
Journal Of Statistical Computation And Simulation. Abingdon: Taylor & Francis Ltd, v. 86, n. 2, p. 279-292, 2016.
0094-9655
10.1080/00949655.2015.1007983
WOS:000362557800005
WOS000362557800005.pdf
Autor
Universidade de São Paulo (USP)
Univ Connecticut
Universidade Estadual Paulista (Unesp)
Institución
Resumen
In this paper we propose a new lifetime model for multivariate survival data with a surviving fraction. We develop this model assuming that there are m types of unobservable competing risks, where each risk is related to a time of the occurrence of an event of interest. We explore the use of Markov chain Monte Carlo methods to develop a Bayesian analysis for the proposed model. We also perform a simulation study in order to analyse the frequentist coverage probabilities of credible interval derived from posteriors. Our modelling is illustrated through a real data set.