Dynamic survival models with spatial frailty |
| |
Authors: | Leonardo Soares Bastos Dani Gamerman |
| |
Institution: | (1) Departamento de Estatística, Universidade Federal do Paraná, Caixa Postal: 19081, CEP: 81531-990 Curitiba, PR, Brazil;(2) Instituto de Matemática, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil |
| |
Abstract: | In many survival studies, covariates effects are time-varying and there is presence of spatial effects. Dynamic models can
be used to cope with the variations of the effects and spatial components are introduced to handle spatial variation. This
paper proposes a methodology to simultaneously introduce these components into the model. A number of specifications for the
spatial components are considered. Estimation is performed via a Bayesian approach through Markov chain Monte Carlo methods.
Models are compared to assess relevance of their components. Analysis of a real data set is performed, showing the relevance
of both time-varying covariate effects and spatial components. Extensions to the methodology are proposed along with concluding
remarks. |
| |
Keywords: | Duration times Correlation function Dynamic models Bayesian Gaussian random fields MCMC Municipalities |
本文献已被 PubMed SpringerLink 等数据库收录! |
|