Fig 1.
Choropleth maps displaying the simulated counts of lung cancer at multiple aggregation levels for Queensland, Australia.
Note that the maps for each aggregation level have different colour scales to reflect how the average counts per area increases as aggregation occurs.
Fig 2.
Choropleth maps displaying the observed SIR from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia (grey regions have 0 cases).
Table 1.
Population and number of lung cancer diagnoses by geographic levels of aggregation.
Fig 3.
Choropleth maps displaying the fitted SIR (without covariate model) from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia.
Fig 4.
Choropleth maps displaying the fitted SIR (with covariate model) from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia.
Table 2.
Moran’s I of observed counts and modelled residuals.
Table 3.
Posterior summary of simulated lung cancer BYM model without covariates.
Table 4.
Posterior summary of simulated lung cancer BYM model with covariates.
Fig 5.
Credible intervals of parameters for BYM model with covariate.
Fig 6.
Credible intervals of parameters for BYM model without covariate.