Choropleth maps displaying the fitted SIR (with covariate model) from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia.

Choropleth maps displaying the fitted SIR (with covariate model) from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia.

<p>Choropleth maps displaying the fitted SIR (with covariate model) from the simulated lung cancer data at multiple aggregation levels for Queensland, Australia.</p>

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Bibliographic Details
Main Author:	Farzana Jahan (9177193) (author)
Other Authors:	Shovanur Haque (20629820) (author), James Hogg (5211725) (author), Aiden Price (16806680) (author), Conor Hassan (20629823) (author), Wala Areed (20629826) (author), Helen Thompson (2704801) (author), Jessica Cameron (6328706) (author), Susanna M. Cramb (2696878) (author)
Published:	2025
Subjects:	Biotechnology Cancer Inorganic Chemistry Infectious Diseases Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified bayesian disease mapping coarsest areal structures spatial aggregation defined less populated areas spatially aggregated data maup impacted inference australia </ p populated areas inference varies greatly impacted often aggregated data aggregated aggregation level aggregation changes xlink "> without covariates study aims pertinent risks particularly important offer advantages moderate resolution maup behaves maup ), five levels examined previously data sparsity computational intensity cancer counts area structures
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