Disease Mapping Using Bayesian Hierarchical Models

Arul Earnest, Susanna M. Cramb, Nicole M. White

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

2 Citations (Scopus)
Original languageEnglish
Title of host publicationCase Studies in Bayesian Statistical Modelling and Analysis
EditorsClair L. Alston, Kerrie L. Mengersen, Anthony N. Pettitt
Place of PublicationChichester UK
PublisherWiley-Academy
Chapter13
Pages221-239
Number of pages19
Edition1st
ISBN (Electronic)9781118394472
ISBN (Print)9781119941828
DOIs
Publication statusPublished - 5 Nov 2012
Externally publishedYes

Keywords

  • Bayesian approaches to disease mapping, and GLMM variants
  • Bayesian GLMM for spatial/non-spatial effects
  • Bayesian models as incidence/relative survival, spatio-temporal
  • Disease mapping using Bayesian hierarchical models
  • Disease maps in relative risk/ecological estimation
  • Mapping disease, counts at areal level as choropleth maps
  • Ratio of observed/expected count of disease, providing SIR
  • Sensitivity analysis and choice of weight matrix
  • SIRs, maximum likelihood estimators of area-specific risks
  • Standardization, in sieving out confounder effects

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