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A Zero-Inflated Spatial Gamma Process Model With Applications to Disease Mapping

2013-06-01

Abstract excerpt

In this paper, we introduce a novel discrete Gamma Markov random field (MRF) prior for modeling spatial relations among regions in geo-referenced health data. Our proposition is incorporated into a generalized linear mixed model zero-inflated (ZI) framework that accounts for excess zeroes not explained by usual parametric (Poisson or Negative Binomial) assumptions. The ZI framework categorizes subjects into low-ri...

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Literature Corpus work
926f83c3-ea6c-528f-950b-31a7eebd1e38
DOI
10.1007/s13253-013-0128-z
Open publication

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A Zero-Inflated Spatial Gamma Process Model With Applications to Disease MappingDOI 10.1007/s13253-013-0128-z
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