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
Number of pages19
ISBN (Electronic)9781118394472
ISBN (Print)9781119941828
Publication statusPublished - 5 Nov 2012
Externally publishedYes


  • 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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