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stat.ME2023
Spatial data fusion adjusting for preferential sampling using INLA and SPDE
Ruiman Zhong, André Victor Ribeiro Amaral, Paula Moraga
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process…
stat.ME2023
Extended Excess Hazard Models for Spatially Dependent Survival Data
André Victor Ribeiro Amaral, Francisco Javier Rubio, Manuela Quaresma +2
Relative survival represents the preferred framework for the analysis of population cancer survival data. The aim is to model the survival probability associated to cancer in the a…