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Webinar: Biostatistics, Epidemiology and Research Design (BERD) Seminar – How Functional Data Analysis Contributes to Biomedical Research: The Genetics of Childhood Obesity, and the Unfolding of COVID-19 in Italy
April 13, 4:00 pm to 5:00 pm
Penn State Clinical and Translational Science Institute’s Biostatistics, Epidemiology and Research Design (BERD) Recent Topics in Research Methods Seminar Series will present “How Functional Data Analysis Contributes to Biomedical Research: The Genetics of Childhood Obesity, and the Unfolding of COVID-19 in Italy.”
The presentation discusses functional data analysis (FDA), a fast-expanding body of methods and tools to analyze data comprised of curves or surfaces. Its applications in biomedical research are growing. In this talk, the team will present two studies which illustrate its use. The first is a study of childhood obesity that efficiently leveraged a longitudinal phenotype measured on a small sample of individuals for identifying genetic variants that may predispose to fast weight gain in early childhood. The second is a study of data from the first wave of COVID-19 in Italy, that characterized a heterogeneous epidemic through the shapes of its curves across different regions, and related mortality to mobility, positivity, and a number of demographic, socio-economic and infrastructural covariates.
The first study is joint work with a team of Penn State researchers, including S. Craig, A.M. Kenney, J. Lin, I.M. Paul, the late L.L. Birch, J. Savage, M.E. Marini, M.L. Reimherr and K.D. Makova. The second study is joint work with a team of researchers from both Penn State and the Sant’Anna School of Advanced Studies (Pisa, IT), including T. Boschi, J. Di Iorio, L. Testa and M.A. Cremona.
Presenter is Francesca Chiaromonte, PhD, Huck Chair in statistics for the life sciences and director of Institute for Genome Sciences (Huck Institutes of the Life Sciences), and professor of statistics, Penn State.
Registration is required, with a Zoom link to be provided to registered participants before the event.