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A strategy for bounding attributable risk: a lung cancer example

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Author Info
Minh Ha-Duong () (CIRED - Centre international de recherche sur l'environnement et le développement - CIRAD : UMR56 - CNRS : UMR8568 - Ecole des Hautes Etudes en Sciences Sociales - Ecole Nationale des Ponts et Chaussées - Ecole Nationale du Génie Rural des Eaux et des Forêts, CMU, EPP - Carnegie Mellon University, Department of Engineering and Public Policy - Carnegie Mellon University)
Elizabeth Casman (CMU, EPP - Carnegie Mellon University, Department of Engineering and Public Policy - Carnegie Mellon University)
Granger Morgan (CMU, EPP - Carnegie Mellon University, Department of Engineering and Public Policy - Carnegie Mellon University)

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Abstract

For diseases with more than one risk factor, the sum of probabilistic estimates of the number of cases attributable to each individual factor may exceed the total number of cases observed, especially when uncertainties about exposure and dose-response for some risk factors is high. In this study we outline a method to bound the fraction of lung cancer fatalities not attributed to specific well-studied causes. Such information serves as a "reality check" for attributional studies of the minor risk factors, and, as such, complements the traditional risk analysis. With lung cancer as our example, we attribute portions of the observed lung cancer mortality to known causes (such as smoking, residential radon, and asbestos fibers) and describe the uncertainty surrounding those estimates. The interactions among the risk factors are also quantified, to the extent possible. We then infer an upper bound on the residual risk due to "other" causes, using a coherence constraint on the total number of deaths, the maximum uncertainty principle, and the mathematics of imprecise probabilities.

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Publisher Info
Paper provided by HAL in its series Post-Print with number halshs-00003680_v1.

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Date of creation: 2004
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Publication status: Published, Risk Analysis, 2004, 24, 5, 1093-1095
Handle: RePEc:hal:journl:halshs-00003680_v1

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Related research
Keywords: bounding analysis; lung cancer risk; imprecise probability; epidemiology;

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This page was last updated on 2009-12-22.


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