A bivariate CAR model for improving the estimation of relative risks


  • Fedele Greco Alma Mater Studiorum - Università di Bologna
  • Carlo Trivisano Alma Mater Studiorum - Università di Bologna




Disease mapping studies have been widely performed at univariate level, that is considering only one disease in the estimated models. Nonetheless, simultaneous modeling of different diseases can be a valuable tool both from the epidemiological and from the statistical point of view. In this paper we propose a model for bivariate disease mapping that generalises the univariate CAR distribution. The proposed model is proven to be an effective alternative to existing bivariate models, mainly because it overcome some restrictive hypotheses underlying models previously proposed in this context. Model performances are checked via a simulation study and via application to some real case studies.


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How to Cite

Greco, F., & Trivisano, C. (2008). A bivariate CAR model for improving the estimation of relative risks. Statistica, 68(3/4), 327–347. https://doi.org/10.6092/issn.1973-2201/3538