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A New lifetime model for multivariate survival data with a surviving fraction
2015
Journal of Statistical Computation and Simulation
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
doi:10.1080/00949655.2015.1007983
fatcat:mcvx5v5ikreqtiiaxjma7g2w4m