Geographical analysis of cancer incidence in Ireland: a comparison of two Bayesian spatial models

Cancer Epidemiology
Avril HegartyH Comber

Abstract

Our objective was to describe the geographical variation in cancer incidence using gastro-intestinal and non-melanoma skin cancer incidence data in Ireland using two different Bayesian spatial models and to compare the performance of these models. Cases diagnosed between 1994 and 2003 were extracted from the National Cancer Registry of Ireland. Population data were estimated from census data. For each of 3401 electoral divisions (EDs), relative risk (RR) estimates were calculated and smoothed using a conditional autoregressive model (CAR) and a spatial partition model introduced by Hegarty and Barry using a product partition model (PPM). The results were compared by mapping the ratio of the two RR estimates and other mainly descriptive statistics. The two methods gave broadly similar results. For gastro-intestinal cancers the RRs were lower in a northwest/southeast band across the country with greater RRs around Dublin, Cork and in Donegal. Greater RR of non-melanoma skin cancer was observed in coastal areas. Median differences between the RR estimates were small (=0.01). The range of RRs was wider when estimated by the CAR model illustrating that the PPM smoothed the data to a greater extent than the CAR model. The two approac...Continue Reading

References

Apr 28, 2000·Biometrics·L Knorr-Held, G Rasser
Aug 29, 2000·Statistics in Medicine·A B LawsonF Divino
Aug 29, 2000·Statistics in Medicine·C PascuttoP Elliott
Jun 17, 2004·Environmental Health Perspectives·Sylvia RichardsonPaul Elliott
Apr 3, 2008·Statistics in Medicine·Avril Hegarty, Daniel Barry

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Citations

Jan 15, 2014·International Journal of Environmental Research and Public Health·Mohammadreza MohebbiAndrew Forbes
Nov 21, 2014·International Journal of Health Geographics·Jannah BakerKerrie Mengersen
Apr 1, 2014·Melanoma Research·Kaveri KorgavkarMartin A Weinstock

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