Multilevel Modelling of the Geographical Distributions of Diseases

Ian H. Langford · Alastair H. Leyland · Jon Rasbash · Harvey Goldstein

166 citations0/0 files storedJournal of the Royal Statistical Society Series C (Applied Statistics)

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Abstract

"Multilevel modelling is used on problems arising from the analysis of spatially distributed health data. We use three applications to demonstrate the use of multilevel modelling in this area. The first concerns small area all-cause mortality rates from Glasgow where spatial autocorrelation between residuals is examined. The second analysis is of prostate cancer cases in Scottish counties where we use a range of models to examine whether the incidence is higher in more rural areas. The third develops a multiple-cause model in which deaths from cancer and cardiovascular disease in Glasgow are examined simultaneously in a spatial model. We discuss some of the issues surrounding the use of complex spatial models and the potential for future developments."

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References

1995Interactive Spatial Data Analysis 1996Interactive spatial data analysis 1995Bayesian estimates of disease maps: How important are priors?1996Bayesian methods for mapping disease risk 1996Regional variations in mortality rates in England and Wales: An analysis using multi-level modelling

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