Multilevel Modelling of the Geographical Distributions of Diseases

DOI10.1111/1467-9876.00153zbMath0923.62116OpenAlexW2165160328WikidataQ40631725 ScholiaQ40631725MaRDI QIDQ4237994

Alastair H. Leyland, Harvey Goldstein, Jon Rasbash, Ian H. Langford

Publication date: 31 October 1999

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00153

zbMATH Keywords

random coefficient modelsspatial analysismultilevel modellinggeographical epidemiologycancer epidemiology

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Related Items (12)

Semiparametric modelling of spatial binary observations ⋮ Bayesian shared spatial-component models to combine and borrow strength across sparse disease surveillance sources ⋮ Geographic distribution of cardiovascular comorbidities in South Africa: a national cross-sectional analysis ⋮ Inducing high spatial correlation with randomly edge-weighted neighborhood graphs ⋮ Gaussian component mixtures and CAR models in Bayesian disease mapping ⋮ Bayesian nonparametric hierarchical modeling for multiple membership data in grouped attendance interventions ⋮ A model for non-parametric spatially varying regression effects ⋮ Issues in the mapping of two diseases ⋮ Statistical modelling of neighbor treatment effects in aquaculture clinical trials ⋮ A bivariate CAR model for improving the estimation of relative risks ⋮ Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes ⋮ Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes

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