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

Antoine Soetewey, Catherine Legrand, Michel Denuit and Geert Silversmit
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Antoine Soetewey: Université catholique de Louvain, LIDAM/ISBA, Belgium
Catherine Legrand: Université catholique de Louvain, LIDAM/ISBA, Belgium
Michel Denuit: Université catholique de Louvain, LIDAM/ISBA, Belgium
Geert Silversmit: Belgian Cancer Registry

No 2023013, LIDAM Discussion Papers ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

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.

Keywords: Years of life lost; Multi-state models; Critical illness; Cancer mortality (search for similar items in EconPapers)
Pages: 22
Date: 2023-04-21
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