University of Padova. 28 May, 2020.
Online via Zoom. [Bando MIUR PRIN 2017]
This intermediate meeting aims at presenting some initial scientific outputs of the project and provides an opportunity to discuss about the recent COVID-19 emergency from an interdisciplinary perspective which embraces demography, social science, epidemiology and data analysis. How to attend. Write to select.prin@gmail.com specifying which session you want to attend [morning, afternoon or both] and we will send you the zoom link.
Morning session: Statistical models for health and longevity analysis (write to select.prin@gmail.com if you want to attend) | ||
Event | Time | Details |
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SELECT unit presentation |
May 28, 2020 [9:00-10:00] |
Bocconi Sirio Legramanti. Bayesian testing for exogenous partition structures in stochastic block models. Raffaella Piccarreta. Multivariate density regression for censored, constrained and binary traits. |
SELECT unit presentation |
May 28, 2020 [10:00-11:00] |
Padova Marco Stefanucci. Analyzing cause-specific mortality trends using compositional functional data analysis. Emanuele Aliverti. Bayesian modelling of mortality via dynamic mixture-function. |
SELECT unit presentation |
May 28, 2020 [11:00-12:00] |
Venezia Francesca Zantomio. The economic consequences of CVD shocks in older age. Andrea Pastore. Unhealthy life prevalence estimation using the Passi dataset. |
SELECT unit presentation |
May 28, 2020 [12:00-13:00] |
Piemonte Orientale Carmen Aina. The long-term effects of employment trajectories on health later in life. Chiara Airoldi. Modelling the course of aging: how to consider cronicity. |
Afternoon session: Panel discussion on COVID-19 crisis (Write to select.prin@gmail.com if you want to attend) | :||
Event | Time | Details |
COVID-19 panel discussion |
May 28, 2020 [14:00-16:00] |
Scope: Discuss about the recent COVID-19 emergency from an interdisciplinary perspective.
Opening by Prof. Giovanna Boccuzzo [Head of the Department of Statistics. University of Padova].
Panel discussants:
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E-mail: (select.prin@gmail.com)