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Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?

In: Risk Analysis of Complex and Uncertain Systems

Author

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  • Louis Anthony Cox

    (Cox Associates)

Abstract

The remainder of the book applies principles from earlier chapters to several challenging quantitative risk assessment (QRA) problems for complex, uncertain, and nonlinear systems. This chapter returns to the problem of predicting how removing a specific constituent (arsenic) from a complex mixture (cigarette smoke) would affect lung cancer risks. This goes beyond the bounding and portfolio QRAs in Chapters 8 and 10 by applying the systems dynamics model in Chapter 11 to obtain explicit quantitative results. Rather than only estimating bounds for the probable changes in consequences, this chapter predicts specific quantitative reductions in risk, contingent on specified assumptions about causal mechanisms. Quantitative sensitivity analysis shows how predicted risk reductions (under stated assumptions) and preventable fractions of risk change as key assumptions are changed.

Suggested Citation

  • Louis Anthony Cox, 2009. "Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?," International Series in Operations Research & Management Science, in: Risk Analysis of Complex and Uncertain Systems, chapter 0, pages 283-302, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-89014-2_12
    DOI: 10.1007/978-0-387-89014-2_12
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    Cited by:

    1. Giuseppina Folesani & Maricla Galetti & Pier Giorgio Petronini & Paola Mozzoni & Silvia La Monica & Delia Cavallo & Massimo Corradi, 2023. "Interaction between Occupational and Non-Occupational Arsenic Exposure and Tobacco Smoke on Lung Cancerogenesis: A Systematic Review," IJERPH, MDPI, vol. 20(5), pages 1-24, February.

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