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Cancer rates over age, time, and place: insights from stochastic models of heterogeneous populations

Author

Listed:
  • James W. Vaupel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Anatoli I. Yashin

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

Individuals at the same age in the same population differ along numerous risk factors that affect their chances of various causes of death. The frail and susceptible tend to die first. This differential selection may partially account for some of the puzzles in cancer epidemiology, including the lack of apparent progress in reducing cancer incidence and mortality rates over time. (AUTHORS)

Suggested Citation

  • James W. Vaupel & Anatoli I. Yashin, 1999. "Cancer rates over age, time, and place: insights from stochastic models of heterogeneous populations," MPIDR Working Papers WP-1999-006, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-1999-006
    DOI: 10.4054/MPIDR-WP-1999-006
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    File URL: https://www.demogr.mpg.de/Papers/Working/wp-1999-006.pdf
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    Cited by:

    1. Knoef, M.G., 2011. "Essays on labor force participation, aging, income and health," Other publications TiSEM 2ac55c2f-b678-457d-b936-7, Tilburg University, School of Economics and Management.

    More about this item

    JEL classification:

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

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