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A modified new method for estimating smoking-attributable mortality in high-income countries

Author

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  • Brian L. Rostron

    (US Food and Drug Administration)

Abstract

Preston, Glei, and Wilmoth (2010) recently proposed an innovative regression-based method to estimate smoking-attributable mortality in developed countries based on observed lung cancer death rates. Their estimates for females, however, differ appreciably from some published estimates. This article presents a modified version of the Preston, Glei, and Wilmoth method that includes an age-period interaction term in its model. This modified version produces improved estimates of smoking-attributable mortality that are consistent with results from a modified version of the Peto-Lopez indirect method.

Suggested Citation

  • Brian L. Rostron, 2010. "A modified new method for estimating smoking-attributable mortality in high-income countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(14), pages 399-420.
  • Handle: RePEc:dem:demres:v:23:y:2010:i:14
    DOI: 10.4054/DemRes.2010.23.14
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    References listed on IDEAS

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    1. France Meslé & Jacques Vallin, 2006. "Diverging Trends in Female Old‐Age Mortality: The United States and the Netherlands versus France and Japan," Population and Development Review, The Population Council, Inc., vol. 32(1), pages 123-145, March.
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    Cited by:

    1. Tobias Vogt & Alyson van Raalte & Pavel Grigoriev & Mikko Myrskylä, 2017. "The German East-West Mortality Difference: Two Crossovers Driven by Smoking," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1051-1071, June.
    2. Alyson van Raalte & Mikko Myrskylä & Pekka Martikainen, 2015. "The role of smoking on mortality compression," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(20), pages 589-620.
    3. Andrew Fenelon & Samuel Preston, 2012. "Estimating Smoking-Attributable Mortality in the United States," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 797-818, August.
    4. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.
    5. Fanny Janssen & Leo Wissen & Anton Kunst, 2013. "Including the Smoking Epidemic in Internationally Coherent Mortality Projections," Demography, Springer;Population Association of America (PAA), vol. 50(4), pages 1341-1362, August.
    6. Joseph T. Lariscy & Robert A. Hummer & Richard G. Rogers, 2018. "Cigarette Smoking and All-Cause and Cause-Specific Adult Mortality in the United States," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1855-1885, October.
    7. Peter Sandiford & Dale Bramley, 2013. "Application of the modified PGW method for determining the smoking attributable fraction of deaths in New Zealand Maori, Pacific and non-Maori non-Pacific populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(7), pages 207-228.
    8. Tobias C. Vogt & Alyson A. van Raalte & Pavel Grigoriev & Mikko Myrskylä, 2016. "German East-West mortality difference: two cross-overs driven by smoking," MPIDR Working Papers WP-2016-004, Max Planck Institute for Demographic Research, Rostock, Germany.
    9. Fanny Janssen & Alette Spriensma, 2012. "The contribution of smoking to regional mortality differences in the Netherlands," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(9), pages 233-260.

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    More about this item

    Keywords

    mortality; life expectancy; smoking;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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