Detection of Significant Disease Risks Using a Spatial Conditional Autoregressive Model

DOI10.1111/j.1541-0420.2007.00981.xzbMath1152.62079OpenAlexW1981260920WikidataQ50083978 ScholiaQ50083978MaRDI QIDQ3549392

Josep L. Carrasco, Geòrgia Escaramís, Carlos Ascaso

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00981.x

zbMATH Keywords

variance componentsdisease mappinggeneralized linear mixed modelconditional autoregressive modelbest linear unbiased predictorspenalized quasilikelihood

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Small area estimation with spatially varying natural exponential families ⋮ Evaluating space‐time models for short‐term cancer mortality risk predictions in small areas

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