A simulation study of disaggregation regression for spatial disease mapping.
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DOI: 10.1002/sim.9220
Abstract: Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high resolution covariate information and modeling the data generating process on… read more here.
Keywords: fine scale; disease; disaggregation regression;