Dipartimento di Scienze Statistiche

Laboratorio LoLA (Laboratori on Longevity and Ageing).      Il Laboratorio, coordinato dal Dss, raggruppa 15 Dipartimenti Universitari che hanno gruppi di ricerca attivi su questi temi e organizza, tra le altre cose, dei seminari online a cadenza bimestrale. Il prossimo (il 14°) è programmato per il    Abstract: Prevalence and a lifetable are sufficient to calculate a healthy life expectancy (HLE) under some usually acceptable assumptions. However, to decompose differences in HLE, then we must recognize that health prevalence derives from more than just health dynamics and that the lifetable is composed of more than just mortality: Health and mortality are endogenous, and this has a non-ignorable influence on decomposition results unless unacceptably strong assumptions are made. Likewise, to calculate inequality in healthy years within a population we should also somehow handle endogeneity between health and mortality. To do a plausibly good job at either task, I recommend transforming Sullivan data into the transition probabilities from a multistate model. Under Sullivan data constraints, these is insufficient information to perform this transformation directly, but it can be done indirectly. I will mention some of the transformation approaches proposed thus far, and then I'll propose a new one currently in development. Dettagli per il collegamento Zoom: https://uniroma1.zoom.us/j/87522718435?pwd=RmNON3RzQzJVaXZWbzBKcnAzeTI0UT09