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Classification — the Ubiquitous Challenge pp 109–117Cite as

Quantitative Assessment of the Responsibility for the Disease Load in a Population

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Abstract

The concept of attributable risk (AR), introduced more than 50 years ago, quantifies the proportion of cases diseased due to a certain exposure (risk) factor. While valid approaches to the estimation of crude or adjusted AR exist, a problem remains concerning the attribution of AR to each of a set of several exposure factors. Inspired by mathematical game theory, namely, the axioms of fairness and the Shapley value, introduced by Shapley in 1953, the concept of partial AR has been developed. The partial AR offers a unique solution for allocating shares of AR to a number of exposure factors of interest, as illustrated by data from the German Göttingen Risk, Incidence, and Prevalence Study (G.R.I.P.S.).

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Author information

Authors and Affiliations

  1. Department of Medical Informatics, Biometry and Epidemiology, University of Erlangen Nuremberg, Germany

    Wolfgang Uter & Olaf Gefeller

Authors
  1. Wolfgang Uter
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  2. Olaf Gefeller
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Editor information

Editors and Affiliations

  1. Fachbereich Statistik, Universität Dortmund, 44221, Dortmund

    Claus Weihs

  2. Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), 76128, Karlsruhe

    Wolfgang Gaul

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© 2005 Springer-Verlag Berlin · Heidelberg

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Uter, W., Gefeller, O. (2005). Quantitative Assessment of the Responsibility for the Disease Load in a Population. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_10

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