Giulia Zamagni è biostatistica e si occupa di studi epidemiologici e clinici in ambito materno-infantile.È membro del gruppo italiano del Global Burden of Disease e della Società Italiana di Statistica Medica ed Epidemiologia Medica.In questa puntata discute del rapporto tra statistica freqiuentista, statistica bayesiana e Machine Learning nell’ambito clinico, con particolare riferimento al problema del passaggio tra tecniche statistiche tradizionali e le possibilità offerte dai nuovi algoritmi.
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