Mapping Disease and Mortality Rates Using Empirical Bayes Estimators

DOI10.2307/2347593zbMath0825.62872OpenAlexW143896364WikidataQ52458849 ScholiaQ52458849MaRDI QIDQ4843953

Roger Marshall

Publication date: 17 August 1995

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2347593

zbMATH Keywords

neighbourhooddisease and mortality rateempirical Bayes and James-Stein estimatorsglobal and local estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Empirical decision procedures; empirical Bayes procedures (62C12)

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A spatial–temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space–time model ⋮ Modeling of rates over a hierarchical health administrative structure ⋮ Estimation in Bayesian Disease Mapping ⋮ Choosing among two-dimensional smoothers in practice ⋮ A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping ⋮ Empirical Bayes methods for disease mapping ⋮ Empirical bayesInterval estimates: An application to geographical epidemiology ⋮ An adaptive hierarchical Bayes quality measurement plan ⋮ Hierarchical Bayesian modelling of spatial age-dependent mortality ⋮ Spatial mixture multiscale modeling for aggregated health data ⋮ Hierarchical Bayes estimation of mortality rates for disease mapping ⋮ Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 ⋮ Modelling risks in disease mapping ⋮ Empirical Bayes estimation smoothing of relative risks in disease mapping

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