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PubMed · 10960848

A classification of disease mapping methods.

J F Bithell
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Abstract

This paper considers the underlying principles of depicting disease incidence on geographical maps and uses them to attempt a comparative classification of methods. After a discussion of the possibilities for incorporating time, we consider projection methods, some of which have been used to portray information in a manner supposed to be independent of population density. We then distinguish between non-parametric and model-based methods, including models for areal data using Bayesian ideas. Data in point form are also discussed and it is argued that the relative risk function provides a fundamental model useful for assessing different methods as a whole, some of which are known to be flawed and many of which are untested as regards their statistical properties.

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Bayes TheoremEpidemiologic MethodsHumansIncidenceMaps as TopicModels, StatisticalRisk AssessmentTopography, MedicalJournal Article

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J F Bithell. A classification of disease mapping methods.. https://doi.org/10.1002/1097-0258(20000915%2F30)19%3A17%2F18%3C2203%3A%3Aaid-sim564%3E3.0.co%3B2-u

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