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Publication

Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data

Journal Contribution - Journal Article

Oral 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.
Journal: International journal of environmental research and public health (Print)
ISSN: 1661-7827
Issue: 5
Volume: 14
Pages: 1 - 13
Publication year:2017
Keywords:lung and bronchus cancer, melanoma cancer of the skin, oral cavity and pharynx cancer, incidence, mixture model, spatio-temporal, disease mapping
BOF-keylabel:yes
IOF-keylabel:yes
BOF-publication weight:1
CSS-citation score:1
Authors:International
Authors from:Higher Education
Accessibility:Open