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Health indices for disease incidence and duration in the Semi-Markov setting

Author

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  • Soetewey, Antoine

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Legrand, Catherine

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Denuit, Michel

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Silversmit, Geert

    (Belgian Cancer Registry)

Abstract

Over the last decade, the number of years of life lost (YLL) became a popular tool in biostatistics and epidemiology to measure discrepancies in life expectancy or mortality between a cohort of patients and the general population. Its prominence in the literature is primarily due thanks to its ease of interpretation and because information on the cause of death is not required. Multi-state models are a powerful statistical approach to study the evolution of individuals between different “states”, providing a convenient representation for cancer patients. Based on 161,007 melanoma, thyroid and female breast cancer cases recorded by the Belgian Cancer Registry, a three-state (healthy–cancer–death) illness-death model is used to illustrate how it can be applied to cancer registry data to estimate several types of health indicators, with a focus on the incidence and the number of years of life lost due to cancer. These can be seen as complementary types of health indicators, providing valuable information in different contexts and for different parties.

Suggested Citation

  • 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).
    • Handle: RePEc:aiz:louvad:2023013
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    References listed on IDEAS

    as
    1. 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.
    2. Percy, C. & Stanek III, E. & Gloeckler, L., 1981. "Accuracy of cancer death certificates and its effect on cancer mortality statistics," American Journal of Public Health, American Public Health Association, vol. 71(3), pages 242-250.
    3. Denuit, Michel & Lucas, Nathalie & Pitacco, Ermanno, 2019. "Pricing and Reserving in LTC Insurance," LIDAM Reprints ISBA 2019030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Soetewey, Antoine & Legrand, Catherine & Denuit, Michel & Silversmit, Geert, 2022. "Semi-markov modeling for cancer insurance," LIDAM Reprints ISBA 2022019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Years of life lost ; Multi-state models ; Critical illness ; Cancer mortality;
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