Background: A type III error arises from a two-sided test, when one side is erroneously favoured although the true effect actually resides on the other side. The relevance of this grave error in decision-making is studied for epidemiological maps.Results: Theoretical considerations confirm that a type III error may be large for regions with small numbers of expected cases even when no spatial smoothing has been performed. A simulation study based on infant mortality data in Austria reveals that spatial smoothing may additionally increase the risk of type III errors.Conclusions: The occurrence of a type III error should be taken into account when interpreting results presented in epidemiological maps, particularly with regard to sparsely populated regions and spatial smoothing. © 2012 Heinzl and Waldhoer; licensee BioMed Central Ltd.
CITATION STYLE
Heinzl, H., & Waldhoer, T. (2012). Relevance of the type III error in epidemiological maps. International Journal of Health Geographics, 11. https://doi.org/10.1186/1476-072X-11-34
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