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Cause-specific measures of life years lost

Author

Listed:
  • Per Kragh Andersen

    (Københavns Universitet)

  • Vladimir Canudas-Romo

    (Australian National University)

  • Niels Keiding

    (Københavns Universitet)

Abstract

Background: A new measure of the number of life years lost due to specific causes of death is introduced. Methods: This measure is based on the cumulative incidence of death, it does not require "independence" of causes, and it satisfies simple balance equations: "total number of life years lost = sum of cause-specific life years lost", and "total number of life years lost before age x + temporary life expectancy between birth and age x = x". Results: The measure is contrasted to alternatives suggested in the demographic literature and all methods are illustrated using Danish and Russian multiple decrement life-tables.

Suggested Citation

  • Per Kragh Andersen & Vladimir Canudas-Romo & Niels Keiding, 2013. "Cause-specific measures of life years lost," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(41), pages 1127-1152.
    • Handle: RePEc:dem:demres:v:29:y:2013:i:41
    DOI: 10.4054/DemRes.2013.29.41
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ryohei Mogi & Vladimir Canudas-Romo, 2018. "Expected years ever married," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(47), pages 1423-1456.
    2. Govert E. Bijwaard & Mikko Myrskylä & Per Tynelius & Finn Rasmussen, 2017. "Educational gain in cause-specific mortality: accounting for confounders," MPIDR Working Papers WP-2017-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Govert E. Bijwaard & Per Tynelius & Mikko Myrskylä, 2019. "Education, cognitive ability, and cause-specific mortality: A structural approach," Population Studies, Taylor & Francis Journals, vol. 73(2), pages 217-232, May.
    4. Bijwaard, Govert E. & Myrskylä, Mikko & Tynelius, Per & Rasmussen, Finn, 2017. "Educational gains in cause-specific mortality: Accounting for cognitive ability and family-level confounders using propensity score weighting," Social Science & Medicine, Elsevier, vol. 184(C), pages 49-56.
    5. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2023. "Health indices for disease incidence and duration in the Semi-Markov setting," LIDAM Discussion Papers ISBA 2023013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Oleguer Plana-Ripoll & Vladimir Canudas-Romo & Nanna Weye & Thomas M Laursen & John J McGrath & Per Kragh Andersen, 2020. "lillies: An R package for the estimation of excess Life Years Lost among patients with a given disease or condition," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-18, March.
    7. Akushevich, I. & Yashkin, A. & Kovtun, M. & Stallard, E. & Yashin, A.I. & Kravchenko, J., 2023. "Decomposition of disparities in life expectancy with applications to administrative health claims and registry data," Theoretical Population Biology, Elsevier, vol. 153(C), pages 50-68.

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    More about this item

    Keywords

    life expectancy; multiple decrement life table; competing risks; life years lost; cumulative incidence;
    All these keywords.

    JEL classification:

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

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