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A BAYESIAN SPATIAL AND TEMPORAL MODELING APPROACH TO MAPPING GEOGRAPHIC VARIATION IN MORTALITY RATES FOR SUBNATIONAL AREAS WITH R-INLA

CITE Title : A BAYESIAN SPATIAL AND TEMPORAL MODELING APPROACH TO MAPPING GEOGRAPHIC VARIATION IN MORTALITY RATES FOR SUBNATIONAL AREAS WITH R-INLA Personal Author(s) : Khana, Diba;Rossen, Lauren M.;Hedegaard, Holly;Warner, Margaret; Published Date : 1 2018;1-2018; Source : J Data Sci. 16(1):147-182 URL : https://stacks.cdc.gov/view/cdc/52383 Khana, Diba et al. (2018). A BAYESIAN SPATIAL AND TEMPORAL MODELING APPROACH TO MAPPING GEOGRAPHIC VARIATION IN MORTALITY RATES FOR SUBNATIONAL AREAS WITH R-INLA. 16(1). Khana, Diba et al. "A BAYESIAN SPATIAL AND TEMPORAL MODELING APPROACH TO MAPPING GEOGRAPHIC VARIATION IN MORTALITY RATES FOR SUBNATIONAL AREAS WITH R-INLA" 16, no. 1 (2018) Khana, Diba et al. "A BAYESIAN SPATIAL AND TEMPORAL MODELING APPROACH TO MAPPING GEOGRAPHIC VARIATION IN MORTALITY RATES FOR SUBNATIONAL AREAS WITH R-INLA" vol. 16, no. 1, 2018 Export RIS Citation Information.

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Khana, Diba ;

Rossen, Lauren M.

1 2018 | J Data Sci. 16(1):147-182

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Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variation. State level geographic variation for less com...

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