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B0603
Title: Generalized additive neutral to the right regression for survival analysis Authors:  Alan Riva-Palacio - Universidad Nacional Autónoma de México (Mexico) [presenting]
Abstract: A novel Bayesian nonparametric model is presented for regression in survival analysis. The model builds on the neutral to the right model and on the Cox proportional hazards model. The use of a vector of dependent Bayesian nonparametric priors allows us to efficiently model the hazard as a function of covariates whilst allowing non-proportionality. Properties of the model and inference schemes will be discussed. The method will be illustrated using simulated and real data.