Estimation of life expectancy for time-varying factors and the importance of different causes of death: the Life Years Lost method, developed R functions, and example on mental disorders.
Dr. Oleguer Plana-Ripoll
Marie Curie postdoctoral researcher
Día y hora:
Jueves 19 de diciembre de 2019 a las 12:00.
Auditorio del Centre de Recerca Matemàtica, Facultad de Ciencias, campus de la UAB. (enlace)
1 hora aproximadamente
La asistencia a este seminario es gratuita.
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The life expectancy at birth is a summary measure of life table mortality rates, which is frequently used in demography. It is estimated as the area under the survival curve corresponding to the mortality rates and represents the expected lifetime in a population for which the age-specific mortality rates apply now and in the future. Along those lines, the number of Life Years Lost is used to measure the reduction in life expectancy for a specific group of persons, for example those diagnosed with a specific disease; however, its calculation is not straightforward. In this session, I will introduce a new method to estimate Life Years Lost among persons with a specific disease, including its decomposition according to different causes of death using a competing risks framework. In addition, I will present results on Life Years Lost associated with mental disorders based on population-based registers from Denmark including 7.4 million persons.