Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data
AbstractOral cavity and pharynx cancer, even when considered together, is a fairly rare disease. Implementation of multivariate modeling with lung and bronchus cancer, as well as melanoma cancer of the skin, could lead to better inference for oral cavity and pharynx cancer. The multivariate structure of these models is accomplished via the use of shared random effects, as well as other multivariate prior distributions. The results in this paper indicate that care should be taken when executing these types of models, and that multivariate mixture models may not always be the ideal option, depending on the data of interest. View Full-Text
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Carroll, R.; Lawson, A.B.; Faes, C.; Kirby, R.S.; Aregay, M.; Watjou, K. Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data. Int. J. Environ. Res. Public Health 2017, 14, 503.
Carroll R, Lawson AB, Faes C, Kirby RS, Aregay M, Watjou K. Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data. International Journal of Environmental Research and Public Health. 2017; 14(5):503.Chicago/Turabian Style
Carroll, Rachel; Lawson, Andrew B.; Faes, Christel; Kirby, Russell S.; Aregay, Mehreteab; Watjou, Kevin. 2017. "Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data." Int. J. Environ. Res. Public Health 14, no. 5: 503.
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