Estimating Individual-Level Risk in Spatial Epidemiology Using Spatially Aggregated Information on the Population at Risk

DOI10.1198/JASA.2010.AP09323zbMath1388.62317OpenAlexW2006798115WikidataQ36091940 ScholiaQ36091940MaRDI QIDQ5255682

Yongtao Guan, Unnamed Author, Anthony C. Hart, Fauzia Paize, Peter J. Diggle

Publication date: 17 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3395722

zbMATH Keywords

regression estimating equations inhomogeneous spatial-point process meningococci

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

Disease risk estimation by combining case–control data with aggregated information on the population at risk ⋮ Comparison of models analyzing a small number of observed meningitis cases in Navrongo, Ghana ⋮ A New Estimation Approach for Combining Epidemiological Data From Multiple Sources ⋮ Multivariate Temporal Point Process Regression ⋮ Second-Order Analysis of Semiparametric Recurrent Event Processes ⋮ Spatiotemporal point processes: regression, model specifications and future directions

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