Marco Alfo'

Invited Session
Statistical Learning for health research and omics data
Organizer/Chair: Laura Anderlucci (Università di Bologna)
Discussant: Cinzia Viroli (Università di Bologna)
Room: T32
Floor: ground
Short summary: The session offers a broad overview of the different modelling issues arising in health and biological research. From the prediction of the ordinal response to treatment in a cohort study of thyroid cancer to the modelling of microbiome data via a structured finite mixture model that clusters patients sharing similar taxa compositions, to the application of symmetrical graphical lasso on functional MRI data for the identification of brain networks.

Paper
Modelling ordinal response to treatment in a real-world cohort study Author(s)  Marco Alfo'   Silvia D'Elia   Maria Francesca Marino

Contributed Session
Health and mortality
Chair: Theresa R. Smith (University of Bath)
Discussant: Elena Ambrosetti (Università di Roma La Sapienza)
Room: T4
Floor: ground

Paper
Pseudo-observations in survival analysis Author(s)  Marco Alfo'   Valentina Arena   Marta Cipriani   Alfonso Piciocchi