Assessment of death risk for asbestos cancers using functional regression models among dockworkers exposed to asbestos in northeastern Italy

The retrospective assessment of individual exposure in occupational settings often derives from the association of individual work histories with quantitative and semi-quantitative exposure information. In absence of information on exposure, researchers commonly employed proxy variables, but with strong assumptions and some limitations. In the present work, we propose a new method to estimate the time-varying exposure risk associated to outcomes of interest considering functional regression models and individual work periods. As an illustrating example to understand the potentiality of the method, we analysed a cohort of dock workers occupationally exposed to asbestos in Italy.